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ORCIDYiming Yang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j52]Qingyang Zhang
, Kaishen Wang, Jingqing Ruan, Yiming Yang, Dengpeng Xing, Bo Xu:
Enhancing Multi-agent Coordination via Dual-channel Consensus. Mach. Intell. Res. 21(2): 349-368 (2024)- [j51]Yongquan Yang, Yiming Yang, Jie Chen, Jiayi Zheng, Zhongxi Zheng:
Handling noisy labels via one-step abductive multi-target learning and its application to helicobacter pylori segmentation. Multim. Tools Appl. 83(24): 65099-65147 (2024) - [j50]Yiming Yang, Weipeng Hu, Haifeng Hu:
Unsupervised NIR-VIS Face Recognition via Homogeneous-to-Heterogeneous Learning and Residual-Invariant Enhancement. IEEE Trans. Inf. Forensics Secur. 19: 2112-2126 (2024) - [j49]Weipeng Hu, Yiming Yang, Haifeng Hu:
Pseudo Label Association and Prototype-Based Invariant Learning for Semi-Supervised NIR-VIS Face Recognition. IEEE Trans. Image Process. 33: 1448-1463 (2024) - [j48]Yiming Yang, Weipeng Hu, Haifeng Hu:
Syncretic Space Learning Network for NIR-VIS Face Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 11:1-11:25 (2024) - [c198]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) 2024: 13088-13110 - [c197]Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller:
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. AISTATS 2024: 2278-2286 - [c196]Ruohong Zhang, Yau-Shian Wang, Yiming Yang:
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM. EACL (1) 2024: 659-673 - [c195]Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli:
Functional Interpolation for Relative Positions improves Long Context Transformers. ICLR 2024 - [c194]Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh:
Learning Performance-Improving Code Edits. ICLR 2024 - [c193]Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Daniel Cox, Yiming Yang, Chuang Gan:
SALMON: Self-Alignment with Instructable Reward Models. ICLR 2024 - [c192]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. ICML 2024 - [c191]Yiyang Yuan, Yiming Yang, Xinghua Wang, Xiaoran Li, Cailian Ma, Qirui Chen, Meini Tang, Xi Wei, Zhixian Hou, Jialiang Zhu, Hao Wu, Qirui Ren, Guozhong Xing, Pui-In Mak, Feng Zhang:
34.6 A 28nm 72.12TFLOPS/W Hybrid-Domain Outer-Product Based Floating-Point SRAM Computing-in-Memory Macro with Logarithm Bit-Width Residual ADC. ISSCC 2024: 576-578 - [c190]Yanqin Ge, Yiming Yang, Yinghua Chen, Yinghan Jiang:
Research on Technological Efficiency of Electric Power Using Three-stage DEA and Machine Learning Methods. PEAI 2024: 114-119 - [c189]Yiming Yang:
Representation Learning and Information Retrieval. SIGIR 2024: 1-2 - [i108]Syeda Nahida Akter, Aman Madaan, Sangwu Lee, Yiming Yang, Eric Nyberg:
Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination. CoRR abs/2401.08025 (2024) - [i107]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. CoRR abs/2402.05403 (2024) - [i106]Zhiying Zhu, Zhiqing Sun, Yiming Yang:
HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild. CoRR abs/2403.04307 (2024) - [i105]Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan:
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. CoRR abs/2403.09472 (2024) - [i104]Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang:
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. CoRR abs/2404.01258 (2024) - [i103]Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu:
Self-Play Preference Optimization for Language Model Alignment. CoRR abs/2405.00675 (2024) - [i102]Jaehyung Kim, Yiming Yang:
Few-shot Personalization of LLMs with Mis-aligned Responses. CoRR abs/2406.18678 (2024) - [i101]Jaehyung Kim, Dongyoung Kim, Yiming Yang:
Learning to Correct for QA Reasoning with Black-box LLMs. CoRR abs/2406.18695 (2024) - [i100]Haohan Lin, Zhiqing Sun, Yiming Yang, Sean Welleck:
Lean-STaR: Learning to Interleave Thinking and Proving. CoRR abs/2407.10040 (2024) - [i99]Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang:
An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models. CoRR abs/2408.00724 (2024) - [i98]Yiming Yang, Jun Liu, Wei Wan:
Graph Similarity Regularized Softmax for Semi-Supervised Node Classification. CoRR abs/2409.13544 (2024) - 2023
- [j47]Yiming Yang, Weipeng Hu, Haifeng Hu:
Neutral Face Learning and Progressive Fusion Synthesis Network for NIR-VIS Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5750-5763 (2023) - [j46]Dengpeng Xing, Yiming Yang, Tielin Zhang, Bo Xu:
A Brain-Inspired Approach for Probabilistic Estimation and Efficient Planning in Precision Physical Interaction. IEEE Trans. Cybern. 53(10): 6248-6262 (2023) - [j45]Zirun Li, Jin Xu, Pan Wu, Guojie Li, Keyou Wang, Yiming Yang, Jie Du:
Unified Real-Time Simulation Method for DC/DC Conversion Systems Consisting of Cascaded Dual-Port Submodules. IEEE Trans. Ind. Electron. 70(11): 11368-11378 (2023) - [j44]Chao Lian, Yiming Yang, Xiaodong Yu, Hui Sun, Yuliang Zhao, Guanglie Zhang, Wen Jung Li:
Robust and Remote Photoplethysmography Based on Smartphone Imaging of the Human Palm. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j43]Yiming Yang, Weipeng Hu, Haiqi Lin, Haifeng Hu:
Robust Cross-Domain Pseudo-Labeling and Contrastive Learning for Unsupervised Domain Adaptation NIR-VIS Face Recognition. IEEE Trans. Image Process. 32: 5231-5244 (2023) - [j42]Qirui Ren, Qiang Huo, Zhisheng Chen, Qi Gao, Yiming Wang, Yiming Yang, Hao Wu, Xiangqu Fu, Xiaoxin Xu, Qing Luo, Jianfeng Gao, Chengying Chen, Xiaojin Zhao, Dengyun Lei, Xinghua Wang, Feng Zhang, Yong Chen, Pui-In Mak:
A Security-Enhanced, Charge-Pump-Free, ISO14443-A-/ISO10373-6-Compliant RFID Tag With 16.2-μW Embedded RRAM and Reconfigurable Strong PUF. IEEE Trans. Very Large Scale Integr. Syst. 31(2): 243-252 (2023) - [c188]Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang:
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. ACL (1) 2023: 14897-14911 - [c187]Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei:
Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions. EACL (Findings) 2023: 1062-1076 - [c186]Wannian Xia, Yiming Yang, Jingqing Ruan, Dengpeng Xing, Bo Xu:
Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone. ECAI 2023: 2720-2727 - [c185]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. EMNLP 2023: 7969-7992 - [c184]Aman Madaan Pranjal Aggarwal, Yiming Yang, Mausam:
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs. EMNLP 2023: 12375-12396 - [c183]Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang:
CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering. EMNLP (Findings) 2023: 12748-12755 - [c182]Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou:
Recitation-Augmented Language Models. ICLR 2023 - [c181]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. ICML 2023: 10764-10799 - [c180]Zhiqing Sun, Yiming Yang, Shinjae Yoo:
A Neural PDE Solver with Temporal Stencil Modeling. ICML 2023: 33135-33155 - [c179]Qingyang Zhang, Yiming Yang, Jingqing Ruan, Xuantang Xiong, Dengpeng Xing, Bo Xu:
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. IJCNN 2023: 1-8 - [c178]Dengpeng Xing, Yiming Yang, Zechang Wang, Jiale Li, Bo Xu:
Generalized Robot Dynamics Learning and Gen2Real Transfer. IROS 2023: 4279-4284 - [c177]Shuguang Yang, Feipeng Chen, Yiming Yang, Zude Zhu:
A Study on Semantic Understanding of Large Language Models from the Perspective of Ambiguity Resolution. JCRAI 2023: 165-170 - [c176]Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark:
Self-Refine: Iterative Refinement with Self-Feedback. NeurIPS 2023 - [c175]Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan:
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. NeurIPS 2023 - [c174]Zhiqing Sun, Yiming Yang:
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization. NeurIPS 2023 - [c173]Donghan Yu, Yiming Yang:
Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion. SIGIR 2023: 2334-2338 - [i97]Krzysztof Marcin Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller:
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. CoRR abs/2302.01925 (2023) - [i96]Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh:
Learning Performance-Improving Code Edits. CoRR abs/2302.07867 (2023) - [i95]Zhiqing Sun, Yiming Yang, Shinjae Yoo:
A Neural PDE Solver with Temporal Stencil Modeling. CoRR abs/2302.08105 (2023) - [i94]Zhiqing Sun, Yiming Yang:
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization. CoRR abs/2302.08224 (2023) - [i93]Hui Lu, Chuan Li, Yiming Yang, Cheng Li, Ashraful Islam:
CH-Go: Online Go System Based on Chunk Data Storage. CoRR abs/2303.13553 (2023) - [i92]Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark:
Self-Refine: Iterative Refinement with Self-Feedback. CoRR abs/2303.17651 (2023) - [i91]Ruiqi Wang, Yiming Yang, Behrooz Makki, Atif Shamim:
A Wideband Reconfigurable Intelligent Surface for 5G Millimeter-Wave Applications. CoRR abs/2304.11572 (2023) - [i90]Ruohong Zhang, Yau-Shian Wang, Yiming Yang:
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT. CoRR abs/2304.11872 (2023) - [i89]Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan:
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. CoRR abs/2305.03047 (2023) - [i88]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. CoRR abs/2305.06983 (2023) - [i87]Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam:
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs. CoRR abs/2305.11860 (2023) - [i86]Long Yang, Zhixiong Huang, Fenghao Lei, Yucun Zhong, Yiming Yang, Cong Fang, Shiting Wen, Binbin Zhou, Zhouchen Lin:
Policy Representation via Diffusion Probability Model for Reinforcement Learning. CoRR abs/2305.13122 (2023) - [i85]Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang:
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. CoRR abs/2305.14963 (2023) - [i84]Qingyang Zhang, Yiming Yang, Jingqing Ruan, Xuantang Xiong, Dengpeng Xing, Bo Xu:
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. CoRR abs/2307.12063 (2023) - [i83]Renjie Liang, Yiming Yang, Hui Lu, Li Li:
Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation. CoRR abs/2308.03725 (2023) - [i82]Junwei Huang, Zhiqing Sun, Yiming Yang:
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation. CoRR abs/2308.06644 (2023) - [i81]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR abs/2309.14525 (2023) - [i80]Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli:
Functional Interpolation for Relative Positions Improves Long Context Transformers. CoRR abs/2310.04418 (2023) - [i79]Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan:
SALMON: Self-Alignment with Principle-Following Reward Models. CoRR abs/2310.05910 (2023) - [i78]Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui:
AutoMix: Automatically Mixing Language Models. CoRR abs/2310.12963 (2023) - [i77]Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang:
A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. CoRR abs/2311.10614 (2023) - [i76]Xiaoyuan Cheng, Yiming Yang, Wei Jiang, Yukun Hu:
KEEC: Embed to Control on An Equivariant Geometry. CoRR abs/2312.01544 (2023) - 2022
- [j41]Jinxiang Li, Fusheng Wang, Na Zhen, Yiming Yang:
A new accelerated proximal boosting machine with convergence rate O(1/t2). J. Appl. Math. Comput. 68(6): 3747-3766 (2022) - [j40]Yiming Yang, Dengpeng Xing, Bo Xu:
Efficient Spatiotemporal Transformer for Robotic Reinforcement Learning. IEEE Robotics Autom. Lett. 7(3): 7982-7989 (2022) - [j39]Yuxiao Song, Yu Wang, Jingyang Xie, Yiming Yang, Biao Tian, Shiyou Xu:
Ultra-Low Sidelobe Waveforms Design for LPI Radar Based on Joint Complementary Phase-Coding and Optimized Discrete Frequency-Coding. Remote. Sens. 14(11): 2592 (2022) - [j38]Yiming Yang, Jianxin Peng, C. S. Cai, Yadong Zhou, Lei Wang, Jianren Zhang:
Time-dependent reliability assessment of aging structures considering stochastic resistance degradation process. Reliab. Eng. Syst. Saf. 217: 108105 (2022) - [j37]Bidan Huang, Yiming Yang, Ya-Yen Tsai, Guang-Zhong Yang:
A Reconfigurable Multirobot Cooperation Workcell for Personalized Manufacturing. IEEE Trans Autom. Sci. Eng. 19(3): 2581-2590 (2022) - [c172]Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng:
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. AAAI 2022: 11630-11638 - [c171]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) 2022: 4961-4974 - [c170]Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig:
Language Models of Code are Few-Shot Commonsense Learners. EMNLP 2022: 1384-1403 - [c169]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. EMNLP 2022: 2833-2861 - [c168]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut:
Conditional set generation using Seq2seq models. EMNLP 2022: 4874-4896 - [c167]Hui Lu, Chuan Li, Yiming Yang, Cheng Li, Ashraful Islam:
CH-Go: Online Go System Based on Chunk Data Storage. HPCC/DSS/SmartCity/DependSys 2022: 2198-2205 - [c166]Zhiqing Sun, Yiming Yang, Shinjae Yoo:
Sparse Attention with Learning to Hash. ICLR 2022 - [c165]Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. NAACL-HLT (Findings) 2022: 339-352 - [c164]Ruizhong Qiu, Zhiqing Sun, Yiming Yang:
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems. NeurIPS 2022 - [c163]Yiming Yang, Ding Wang, Mao Yang, Zhongjiang Yan, Bo Li:
Research on Backbone Routing Protocol of Ad Hoc Network Based on SDN. SGIoT 2022: 329-341 - [i75]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. CoRR abs/2201.06009 (2022) - [i74]Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR abs/2203.17070 (2022) - [i73]Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Tom Vu, Likun Lei:
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification. CoRR abs/2204.00933 (2022) - [i72]Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei:
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions. CoRR abs/2204.00958 (2022) - [i71]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut:
Conditional set generation using Seq2seq models. CoRR abs/2205.12485 (2022) - [i70]Aman Madaan, Yiming Yang:
FLOWGEN: Fast and slow graph generation. CoRR abs/2207.07656 (2022) - [i69]Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou:
Recitation-Augmented Language Models. CoRR abs/2210.01296 (2022) - [i68]Ruizhong Qiu, Zhiqing Sun, Yiming Yang:
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems. CoRR abs/2210.04123 (2022) - [i67]Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig:
Language Models of Code are Few-Shot Commonsense Learners. CoRR abs/2210.07128 (2022) - [i66]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. CoRR abs/2211.10435 (2022) - 2021
- [j36]Shun Liu, Tianhao Li, Jie Luo, Yiming Yang, Chengcheng Liu, Youhua Wang:
Core Loss Analysis of Soft Magnetic Composites Based on 3D Model Considering Temperature Influence. IEEE Access 9: 153420-153428 (2021) - [j35]Weixing Liu, Liyan Zhang, Jiahao Wang, Yiming Yang, Jie Li, Zhijie Zhang:
Pellet Roasting Management System Based on Deep Learning and Internet of Things. Complex. 2021: 6631735:1-6631735:10 (2021) - [j34]Zhijun Wu, Yiming Yang:
BD-D1Sec: Protocol of security authentication for BeiDou D1 civil navigation message based on certificateless signature. Comput. Secur. 105: 102251 (2021) - [c162]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint ? Generating inference graphs for defeasible reasoning. ACL/IJCNLP (Findings) 2021: 5138-5147 - [c161]Amrith Setlur, Aman Madaan, Tanmay Parekh, Yiming Yang, Alan W. Black:
Towards Using Heterogeneous Relation Graphs for End-to-End TTS. ASRU 2021: 1162-1169 - [c160]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP (1) 2021: 6291-6310 - [c159]Rou Jiang, Sirui Yan, Jiangwei Chen, Shuohong Xie, Yiming Yang, Xiaoliang Meng, Yuchun Huang:
Evaluating Road Network Capacity in the Semantic Geospatial Sensor Web. Geoinformatics 2021: 1-6 - [c158]Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani:
Rethinking Transformer-based Set Prediction for Object Detection. ICCV 2021: 3591-3600 - [c157]Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig:
Meta Back-Translation. ICLR 2021 - [c156]Aman Madaan, Yiming Yang:
Neural Language Modeling for Contextualized Temporal Graph Generation. NAACL-HLT 2021: 864-881 - [c155]Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) 2021: 97-112 - [c154]Jingzhou Liu, Yiming Yang:
Enhancing Summarization with Text Classification via Topic Consistency. ECML/PKDD (3) 2021: 661-676 - [c153]Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang:
Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs. SIGIR 2021: 2313-2317 - [c152]Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu:
Knowledge Embedding Based Graph Convolutional Network. WWW 2021: 1619-1628 - [i65]Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig:
Meta Back-translation. CoRR abs/2102.07847 (2021) - [i64]Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy:
CURIE: An Iterative Querying Approach for Reasoning About Situations. CoRR abs/2104.00814 (2021) - [i63]Dengpeng Xing, Jiale Li, Yiming Yang, Bo Xu:
General Robot Dynamics Learning and Gen2Real. CoRR abs/2104.02402 (2021) - [i62]Donghan Yu, Yiming Yang:
Improving Hyper-Relational Knowledge Graph Completion. CoRR abs/2104.08167 (2021) - [i61]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy:
Improving Neural Model Performance through Natural Language Feedback on Their Explanations. CoRR abs/2104.08765 (2021) - [i60]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint? Generating inference graphs for defeasible reasoning. CoRR abs/2105.05418 (2021) - [i59]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR abs/2110.04330 (2021) - [i58]Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage:
Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Prediction. CoRR abs/2110.11140 (2021) - [i57]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. CoRR abs/2110.12349 (2021) - [i56]Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang:
Interscript: A dataset for interactive learning of scripts through error feedback. CoRR abs/2112.07867 (2021) - [i55]Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Improving scripts with a memory of natural feedback. CoRR abs/2112.09737 (2021) - 2020
- [j33]Zhijun Wu, Yun Zhang, Yiming Yang, Cheng Liang, Rusen Liu:
Spoofing and Anti-Spoofing Technologies of Global Navigation Satellite System: A Survey. IEEE Access 8: 165444-165496 (2020) - [j32]Cailing Huo, Shipu Wu, Yiming Yang, Chengcheng Liu, Youhua Wang:
Residual Flux Density Measurement Method of Single-Phase Transformer Core Based on Time Constant. IEEE Access 8: 171479-171488 (2020) - [j31]Kun Wang, Yiming Yang, Ruixue Li:
Travel time models for the rack-moving mobile robot system. Int. J. Prod. Res. 58(14): 4367-4385 (2020) - [j30]Yongquan Yang, Yiming Yang, Yong Yuan, Jiayi Zheng, Zhongxi Zheng:
Detecting helicobacter pylori in whole slide images via weakly supervised multi-task learning. Multim. Tools Appl. 79(35-36): 26787-26815 (2020) - [j29]Fei Tan, Yiming Wang, Yiming Yang, Liran Li, Tian Wang, Feng Zhang, Xinghua Wang, Jianfeng Gao, Yongpan Liu:
A ReRAM-Based Computing-in-Memory Convolutional-Macro With Customized 2T2R Bit-Cell for AIoT Chip IP Applications. IEEE Trans. Circuits Syst. II Express Briefs 67-II(9): 1534-1538 (2020) - [c151]Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. ACL 2020: 1869-1881 - [c150]Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou:
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. ACL 2020: 2158-2170 - [c149]Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang:
A Re-evaluation of Knowledge Graph Completion Methods. ACL 2020: 5516-5522 - [c148]Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. ACL 2020: 8625-8646 - [c147]Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig:
Learning Relation Entailment with Structured and Textual Information. AKBC 2020 - [c146]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR 2020: 10897-10907 - [c145]Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li:
On the Sentence Embeddings from Pre-trained Language Models. EMNLP (1) 2020: 9119-9130 - [c144]Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar:
Pre-training Tasks for Embedding-based Large-scale Retrieval. ICLR 2020 - [c143]Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell:
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. ICLR 2020 - [c142]Zhiqing Sun, Yiming Yang:
An EM Approach to Non-autoregressive Conditional Sequence Generation. ICML 2020: 9249-9258 - [c141]Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang:
Correlation-Aware Change-Point Detection via Graph Neural Networks. ICONIP (3) 2020: 555-567 - [c140]Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon:
Taming Pretrained Transformers for Extreme Multi-label Text Classification. KDD 2020: 3163-3171 - [c139]Yiming Yang, Hongyan Liu, Sho Takakura, Yuta Ishida, Takako Nonaka:
Estimation of Cornering Posture of Motorcycle. LifeTech 2020: 199-201 - [c138]Zihang Dai, Guokun Lai, Yiming Yang, Quoc Le:
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. NeurIPS 2020 - [c137]Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang:
Graph-Revised Convolutional Network. ECML/PKDD (3) 2020: 378-393 - [i54]Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar:
Pre-training Tasks for Embedding-based Large-scale Retrieval. CoRR abs/2002.03932 (2020) - [i53]Deepak Kapur, Yiming Yang:
An Algorithm for Computing a Minimal Comprehensive Gröbner\, Basis of a Parametric Polynomial System. CoRR abs/2003.07957 (2020) - [i52]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. CoRR abs/2003.11618 (2020) - [i51]Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou:
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. CoRR abs/2004.02984 (2020) - [i50]Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang:
Explainable Unsupervised Change-point Detection via Graph Neural Networks. CoRR abs/2004.11934 (2020) - [i49]Aman Madaan, Shruti Rijhwani, Antonios Anastasopoulos, Yiming Yang, Graham Neubig:
Practical Comparable Data Collection for Low-Resource Languages via Images. CoRR abs/2004.11954 (2020) - [i48]Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. CoRR abs/2004.14257 (2020) - [i47]Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. CoRR abs/2005.00870 (2020) - [i46]Zihang Dai, Guokun Lai, Yiming Yang, Quoc V. Le:
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. CoRR abs/2006.03236 (2020) - [i45]Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu:
Generalized Multi-Relational Graph Convolution Network. CoRR abs/2006.07331 (2020) - [i44]Zhiqing Sun, Yiming Yang:
An EM Approach to Non-autoregressive Conditional Sequence Generation. CoRR abs/2006.16378 (2020) - [i43]Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang:
Kernel Stein Generative Modeling. CoRR abs/2007.03074 (2020) - [i42]Guokun Lai, Zihang Dai, Yiming Yang:
Unsupervised Parallel Corpus Mining on Web Data. CoRR abs/2009.08595 (2020) - [i41]Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng:
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. CoRR abs/2010.00796 (2020) - [i40]Aman Madaan, Yiming Yang:
Neural Language Modeling for Contextualized Temporal Graph Generation. CoRR abs/2010.10077 (2020) - [i39]Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard H. Hovy, Shrimai Prabhumoye:
EIGEN: Event Influence GENeration using Pre-trained Language Models. CoRR abs/2010.11764 (2020) - [i38]Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li:
On the Sentence Embeddings from Pre-trained Language Models. CoRR abs/2011.05864 (2020) - [i37]Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani:
Rethinking Transformer-based Set Prediction for Object Detection. CoRR abs/2011.10881 (2020) - [i36]Yongquan Yang, Yiming Yang, Jie Chen, Jiayi Zheng, Zhongxi Zheng:
Handling Noisy Labels via One-Step Abductive Multi-Target Learning. CoRR abs/2011.14956 (2020)
2010 – 2019
- 2019
- [j28]Haigen Min, Yiming Yang, Yukun Fang, Peng-Peng Sun, Xiangmo Zhao:
Constrained Optimization and Distributed Model Predictive Control-Based Merging Strategies for Adjacent Connected Autonomous Vehicle Platoons. IEEE Access 7: 163085-163096 (2019) - [c136]Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang:
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. AAAI 2019: 7289-7296 - [c135]Md. Kamrul Hasan, Taylan K. Sen, Yiming Yang, Raiyan Abdul Baten, Kurtis Glenn Haut, Mohammed Ehsan Hoque:
LIWC into the Eyes: Using Facial Features to Contextualize Linguistic Analysis in Multimodal Communication. ACII 2019: 1-7 - [c134]Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov:
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. ACL (1) 2019: 2978-2988 - [c133]Sasha Spala, Nicholas A. Miller, Yiming Yang, Franck Dernoncourt, Carl Dockhorn:
DEFT: A corpus for definition extraction in free- and semi-structured text. LAW@ACL 2019: 124-131 - [c132]Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos:
Implicit Kernel Learning. AISTATS 2019: 2007-2016 - [c131]Wolfgang Merkt, Vladimir Ivan, Yiming Yang, Sethu Vijayakumar:
Towards Shared Autonomy Applications using Whole-body Control Formulations of Locomanipulation. CASE 2019: 1206-1211 - [c130]Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. EMNLP/IJCNLP (1) 2019: 3601-3612 - [c129]Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos:
Kernel Change-point Detection with Auxiliary Deep Generative Models. ICLR (Poster) 2019 - [c128]Hanxiao Liu, Karen Simonyan, Yiming Yang:
DARTS: Differentiable Architecture Search. ICLR (Poster) 2019 - [c127]Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le:
XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS 2019: 5754-5764 - [c126]Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo:
Re-examination of the Role of Latent Variables in Sequence Modeling. NeurIPS 2019: 7812-7822 - [c125]Jason Koh, Kuo Liang, Yiming Yang, Dezhi Hong, Yuvraj Agarwal, Rajesh Gupta:
Interactive Building Metadata Normalization. BuildSys@SenSys 2019: 340-341 - [c124]Andrew Carter, Andrew Rodriguez, Yiming Yang, Scott Meyer:
Nanosecond Indexing of Graph Data With Hash Maps and VLists. SIGMOD Conference 2019: 623-635 - [i35]Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov:
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. CoRR abs/1901.02860 (2019) - [i34]Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos:
Kernel Change-point Detection with Auxiliary Deep Generative Models. CoRR abs/1901.06077 (2019) - [i33]Xiang Kong, Bohan Li, Graham Neubig, Eduard H. Hovy, Yiming Yang:
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation. CoRR abs/1901.07129 (2019) - [i32]Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo:
Re-examination of the Role of Latent Variables in Sequence Modeling. CoRR abs/1902.01388 (2019) - [i31]Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu Kayi, Noura Farra, Kathleen R. McKeown:
The ARIEL-CMU Systems for LoReHLT18. CoRR abs/1902.08899 (2019) - [i30]Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos:
Implicit Kernel Learning. CoRR abs/1902.10214 (2019) - [i29]Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon:
A Modular Deep Learning Approach for Extreme Multi-label Text Classification. CoRR abs/1905.02331 (2019) - [i28]Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le:
XLNet: Generalized Autoregressive Pretraining for Language Understanding. CoRR abs/1906.08237 (2019) - [i27]Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. CoRR abs/1909.00868 (2019) - [i26]Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov:
Bridging the domain gap in cross-lingual document classification. CoRR abs/1909.07009 (2019) - [i25]Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell:
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. CoRR abs/1910.04708 (2019) - [i24]Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski:
Active Learning for Graph Neural Networks via Node Feature Propagation. CoRR abs/1910.07567 (2019) - [i23]Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang:
XL-Editor: Post-editing Sentences with XLNet. CoRR abs/1910.10479 (2019) - [i22]Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang:
A Re-evaluation of Knowledge Graph Completion Methods. CoRR abs/1911.03903 (2019) - [i21]Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang:
Graph-Revised Convolutional Network. CoRR abs/1911.07123 (2019) - 2018
- [j27]Patrick Littell, Tian Tian, Ruochen Xu, Zaid Sheikh, David R. Mortensen, Lori S. Levin, Francis M. Tyers, Hiroaki Hayashi, Graham Horwood, Steve Sloto, Emily Tagtow, Alan W. Black, Yiming Yang, Teruko Mitamura, Eduard H. Hovy:
The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach. Mach. Transl. 32(1-2): 105-126 (2018) - [j26]Yiming Yang, Wolfgang Merkt, Vladimir Ivan, Zhibin Li, Sethu Vijayakumar:
HDRM: A Resolution Complete Dynamic Roadmap for Real-Time Motion Planning in Complex Scenes. IEEE Robotics Autom. Lett. 3(1): 551-558 (2018) - [j25]Xiaoliang Meng, Feng Wang, Yichun Xie, Guoqiang Song, Shifa Ma, Shiyuan Hu, Junming Bai, Yiming Yang:
An Ontology-Driven Approach for Integrating Intelligence to Manage Human and Ecological Health Risks in the Geospatial Sensor Web. Sensors 18(11): 3619 (2018) - [c123]Aldrian Obaja Muis, Naoki Otani, Nidhi Vyas, Ruochen Xu, Yiming Yang, Teruko Mitamura, Eduard H. Hovy:
Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort. COLING 2018: 70-82 - [c122]Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu:
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. EMNLP 2018: 2465-2474 - [c121]Taylan K. Sen, Md. Kamrul Hasan, Minh Tran, Yiming Yang, Mohammed (Ehsan) Hoque:
Say CHEESE: Common Human Emotional Expression Set Encoder and Its Application to Analyze Deceptive Communication. FG 2018: 357-364 - [c120]Yiming Yang, Takako Nonaka:
A Basic Study on Evaluation of Riding Posture of Motorcycle. GCCE 2018: 365-366 - [c119]Yiming Yang, Wolfgang Merkt, Vladimir Ivan, Sethu Vijayakumar:
Planning in Time-Configuration Space for Efficient Pick-and-Place in Non-Static Environments with Temporal Constraints. Humanoids 2018: 1-9 - [c118]Henrique Ferrolho, Wolfgang Merkt, Yiming Yang, Vladimir Ivan, Sethu Vijayakumar:
Whole-Body End-Pose Planning for Legged Robots on Inclined Support Surfaces in Complex Environments. Humanoids 2018: 944-951 - [c117]Yuexin Wu, Hanxiao Liu, Yiming Yang:
Graph Convolutional Matrix Completion for Bipartite Edge Prediction. KDIR 2018: 49-58 - [c116]Yiming Yang:
Large-scale Machine Learning over Graphs. ICTIR 2018: 9 - [c115]Lei Yan, Yiming Yang, Wenfu Xu, Sethu Vijayakumar:
Dual-Arm Coordinated Motion Planning and Compliance Control for Capturing Moving Objects with Large Momentum. IROS 2018: 7137-7144 - [c114]José Cano, Yiming Yang, Bruno Bodin, Vijay Nagarajan, Michael F. P. O'Boyle:
Automatic Parameter Tuning of Motion Planning Algorithms. IROS 2018: 8103-8109 - [c113]Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu:
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. SIGIR 2018: 95-104 - [c112]Yuexin Wu, Yiming Yang, Hiroshi Nishiura, Masaya Saitoh:
Deep Learning for Epidemiological Predictions. SIGIR 2018: 1085-1088 - [i20]Guokun Lai, Bohan Li, Guoqing Zheng, Yiming Yang:
Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data. CoRR abs/1806.06116 (2018) - [i19]Hanxiao Liu, Karen Simonyan, Yiming Yang:
DARTS: Differentiable Architecture Search. CoRR abs/1806.09055 (2018) - [i18]Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu:
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. CoRR abs/1809.03633 (2018) - [i17]Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang:
Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. CoRR abs/1811.07550 (2018) - 2017
- [j24]Yiming Yang, Wolfgang Merkt, Henrique Ferrolho, Vladimir Ivan, Sethu Vijayakumar:
Efficient Humanoid Motion Planning on Uneven Terrain Using Paired Forward-Inverse Dynamic Reachability Maps. IEEE Robotics Autom. Lett. 2(4): 2279-2286 (2017) - [c111]Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang:
Cross-Domain Kernel Induction for Transfer Learning. AAAI 2017: 1763-1769 - [c110]Ruochen Xu, Yiming Yang:
Cross-lingual Distillation for Text Classification. ACL (1) 2017: 1415-1425 - [c109]Wolfgang Merkt, Yiming Yang, Theodoros Stouraitis, Christopher E. Mower, Maurice F. Fallon, Sethu Vijayakumar:
Robust shared autonomy for mobile manipulation with continuous scene monitoring. CASE 2017: 130-137 - [c108]Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. EMNLP 2017: 785-794 - [c107]Qingbiao Li, Iordanis Chatzinikolaidis, Yiming Yang, Sethu Vijayakumar, Zhibin Li:
Robust foot placement control for dynamic walking using online parameter estimation. Humanoids 2017: 165-170 - [c106]Hanxiao Liu, Yuexin Wu, Yiming Yang:
Analogical Inference for Multi-relational Embeddings. ICML 2017: 2168-2178 - [c105]Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng:
Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases. ICSA 2017: 79-88 - [c104]Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos:
Data-driven Random Fourier Features using Stein Effect. IJCAI 2017: 1497-1503 - [c103]Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos:
MMD GAN: Towards Deeper Understanding of Moment Matching Network. NIPS 2017: 2203-2213 - [c102]Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang:
Deep Learning for Extreme Multi-label Text Classification. SIGIR 2017: 115-124 - [i16]Andrew Hsi, Jaime G. Carbonell, Yiming Yang:
CMU CS Event TAC-KBP2017 Event Argument Extraction System. TAC 2017 - [i15]Keerthiram Murugesan, Jaime G. Carbonell, Yiming Yang:
Co-Clustering for Multitask Learning. CoRR abs/1703.00994 (2017) - [i14]Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu:
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. CoRR abs/1703.07015 (2017) - [i13]Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. CoRR abs/1704.04683 (2017) - [i12]Ruochen Xu, Yiming Yang:
Cross-lingual Distillation for Text Classification. CoRR abs/1705.02073 (2017) - [i11]Hanxiao Liu, Yuexin Wu, Yiming Yang:
Analogical Inference for Multi-Relational Embeddings. CoRR abs/1705.02426 (2017) - [i10]Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos:
Data-driven Random Fourier Features using Stein Effect. CoRR abs/1705.08525 (2017) - [i9]Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos:
MMD GAN: Towards Deeper Understanding of Moment Matching Network. CoRR abs/1705.08584 (2017) - [i8]Guokun Lai, Hanxiao Liu, Yiming Yang:
Learning Graph Convolution Filters from Data Manifold. CoRR abs/1710.11577 (2017) - [i7]Guoqing Zheng, Yiming Yang, Jaime G. Carbonell:
Convolutional Normalizing Flows. CoRR abs/1711.02255 (2017) - [i6]Guoqing Zheng, Yiming Yang, Jaime G. Carbonell:
Likelihood Almost Free Inference Networks. CoRR abs/1711.08352 (2017) - 2016
- [j23]Hanxiao Liu, Wanli Ma, Yiming Yang, Jaime G. Carbonell:
Learning Concept Graphs from Online Educational Data. J. Artif. Intell. Res. 55: 1059-1090 (2016) - [c101]Yiming Yang, Liang Xiao, Jingbai Tian:
Research of Clinical Decision Support System Based on Distributed Environment. IEEE WISA 2016: 83-88 - [c100]Hanxiao Liu, Yiming Yang:
Semi-Supervised Learning with Adaptive Spectral Transform. AISTATS 2016: 902-910 - [c99]Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi:
Cross-lingual Text Classification via Model Translation with Limited Dictionaries. CIKM 2016: 95-104 - [c98]Andrew Hsi, Yiming Yang, Jaime G. Carbonell, Ruochen Xu:
Leveraging Multilingual Training for Limited Resource Event Extraction. COLING 2016: 1201-1210 - [c97]Devendra Singh Chaplot, Yiming Yang, Jaime G. Carbonell, Kenneth R. Koedinger:
Data-driven Automated Induction of Prerequisite Structure Graphs. EDM 2016: 318-323 - [c96]Yiming Yang, Vladimir Ivan, Zhibin Li, Maurice F. Fallon, Sethu Vijayakumar:
iDRM: Humanoid motion planning with realtime end-pose selection in complex environments. Humanoids 2016: 271-278 - [c95]Hanxiao Liu, Yiming Yang:
Cross-Graph Learning of Multi-Relational Associations. ICML 2016: 2235-2243 - [c94]Guoqing Zheng, Yiming Yang, Jaime G. Carbonell:
Efficient Shift-Invariant Dictionary Learning. KDD 2016: 2095-2104 - [c93]Keerthiram Murugesan, Hanxiao Liu, Jaime G. Carbonell, Yiming Yang:
Adaptive Smoothed Online Multi-Task Learning. NIPS 2016: 4296-4304 - [c92]Yiming Yang, Vladimir Ivan, Wolfgang Merkt, Sethu Vijayakumar:
Scaling sampling-based motion planning to humanoid robots. ROBIO 2016: 1448-1454 - [i5]Andrew Hsi, Jaime G. Carbonell, Yiming Yang:
CMU CS Event TAC-KBP2016 Event Argument Extraction System. TAC 2016 - [i4]Hanxiao Liu, Yiming Yang:
Cross-Graph Learning of Multi-Relational Associations. CoRR abs/1605.01832 (2016) - [i3]Yiming Yang, Vladimir Ivan, Zhibin Li, Maurice F. Fallon, Sethu Vijayakumar:
iDRM: Humanoid Motion Planning with Real-Time End-Pose Selection in Complex Environments. CoRR abs/1607.06830 (2016) - [i2]Yiming Yang, Vladimir Ivan, Wolfgang Merkt, Sethu Vijayakumar:
Scaling Sampling-based Motion Planning to Humanoid Robots. CoRR abs/1607.07470 (2016) - 2015
- [j22]Siddharth Gopal, Yiming Yang:
Hierarchical Bayesian Inference and Recursive Regularization for Large-Scale Classification. ACM Trans. Knowl. Discov. Data 9(3): 18:1-18:23 (2015) - [c91]Yiming Yang, Lei Zhang, Guiquan Liu, Enhong Chen:
UPCA: An efficient URL-Pattern based algorithm for accurate web page classification. FSKD 2015: 1475-1480 - [c90]Yiming Yang, Vladimir Ivan, Sethu Vijayakumar:
Real-time motion adaptation using relative distance space representation. ICAR 2015: 21-27 - [c89]Hanxiao Liu, Yiming Yang:
Bipartite Edge Prediction via Transductive Learning over Product Graphs. ICML 2015: 1880-1888 - [c88]Deepak Kapur, Yiming Yang:
An Algorithm to Check Whether a Basis of a Parametric Polynomial System is a Comprehensive Gröbner Basis and the Associated Completion Algorithm. ISSAC 2015: 243-250 - [c87]Yiming Yang, Hanxiao Liu, Jaime G. Carbonell, Wanli Ma:
Concept Graph Learning from Educational Data. WSDM 2015: 159-168 - [i1]Andrew Hsi, Jaime G. Carbonell, Yiming Yang:
Modeling Event Extraction via Multilingual Data Sources. TAC 2015 - 2014
- [c86]Siddharth Gopal, Yiming Yang:
Von Mises-Fisher Clustering Models. ICML 2014: 154-162 - [c85]Siddharth Gopal, Yiming Yang:
Transformation-based Probabilistic Clustering with Supervision. UAI 2014: 270-279 - 2013
- [c84]Siddharth Gopal, Yiming Yang:
Distributed training of Large-scale Logistic models. ICML (2) 2013: 289-297 - [c83]Siddharth Gopal, Yiming Yang:
Recursive regularization for large-scale classification with hierarchical and graphical dependencies. KDD 2013: 257-265 - 2012
- [j21]Yiming Yang, Siddharth Gopal:
Multilabel classification with meta-level features in a learning-to-rank framework. Mach. Learn. 88(1-2): 47-68 (2012) - [c82]Konstantin Salomatin, Tie-Yan Liu, Yiming Yang:
A unified optimization framework for auction and guaranteed delivery in online advertising. CIKM 2012: 2005-2009 - [c81]Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil:
Bayesian models for Large-scale Hierarchical Classification. NIPS 2012: 2420-2428 - 2011
- [c80]Shinjae Yoo, Yiming Yang, Jaime G. Carbonell:
Modeling personalized email prioritization: classification-based and regression-based approaches. CIKM 2011: 729-738 - [c79]Yiming Yang, Yihong Ru, Hanqing Li:
Emergency Logistics Systems Synnergetics Research. ICEIS (2) 2011: 282-286 - [c78]Siddharth Gopal, Yiming Yang, Konstantin Salomatin, Jaime G. Carbonell:
Statistical Learning for File-Type Identification. ICMLA (1) 2011: 68-73 - [c77]Yun Tian, Jiong Xie, Shu Yin, Ji Zhang, Xiao Qin, Mohammed I. Alghamdi, Meikang Qiu, Yiming Yang:
A Secure File Allocation Algorithm for Heterogeneous Distributed Systems. ICPP Workshops 2011: 168-175 - [c76]Yijian Wu, Yiming Yang, Xin Peng, Cheng Qiu, Wenyun Zhao:
Recovering Object-Oriented Framework for Software Product Line Reengineering. ICSR 2011: 119-134 - [c75]Yun Tian, Shu Yin, Jiong Xie, Ji Zhang, Xiao Qin, Mohammed I. Alghamdi, Meikang Qiu, Yiming Yang:
Secure Fragment Allocation in a Distributed Storage System with Heterogeneous Vulnerabilities. NAS 2011: 170-179 - 2010
- [j20]Shaotong Gu, Gefei Feng, Xiaohu Ma, Yiming Yang:
Restoration method of characters on Jiagu rubbings based on Poisson distribution and fractal geometry. Sci. China Inf. Sci. 53(7): 1296-1304 (2010) - [j19]Yiming Yang, Shinjae Yoo, Frank Lin, Il-Chul Moon:
Personalized Email Prioritization Based on Content and Social Network Analysis. IEEE Intell. Syst. 25(4): 12-18 (2010) - [c74]Abhimanyu Lad, Yiming Yang:
Learning to rank relevant and novel documents through user feedback. CIKM 2010: 469-478 - [c73]Abhay Harpale, Yiming Yang, Siddharth Gopal, Daqing He, Zhen Yue:
CiteData: a new multi-faceted dataset for evaluating personalized search performance. CIKM 2010: 549-558 - [c72]Shu Yin, Mohammed I. Alghamdi, Xiaojun Ruan, Mais Nijim, Ashwin Tamilarasan, Ziliang Zong, Xiao Qin, Yiming Yang:
Improving Energy Efficiency and Security for Disk Systems. HPCC 2010: 442-449 - [c71]Abhay Harpale, Yiming Yang:
Active Learning for Multi-Task Adaptive Filtering. ICML 2010: 431-438 - [c70]Abhimanyu Lad, Yiming Yang:
Active Ordering of Interactive Prediction Tasks. SDM 2010: 537-547 - [c69]Siddharth Gopal, Yiming Yang:
Multilabel classification with meta-level features. SIGIR 2010: 315-322
2000 – 2009
- 2009
- [c68]Shiwen Feng, Yiming Yang, Xing'an Shen, Libo Geng:
Neural Correlates of Chinese Phrase: An fMRI Study. BMEI 2009: 1-3 - [c67]Yiming Yang, Abhimanyu Lad, Henry Shu, Bryan Kisiel, Chad M. Cumby, Rayid Ghani, Katharina Probst:
Graph Structure Learning for Task Ordering. ICEIS (2) 2009: 164-169 - [c66]Yiming Yang, Abhimanyu Lad:
Modeling Expected Utility of Multi-session Information Distillation. ICTIR 2009: 164-175 - [c65]Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon:
Mining social networks for personalized email prioritization. KDD 2009: 967-976 - [c64]Yiming Yang, Abhay Harpale, Subramaniam Ganapathy:
Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling. ECML/PKDD (2) 2009: 554-569 - [c63]Konstantin Salomatin, Yiming Yang, Abhimanyu Lad:
Multi-field Correlated Topic Modeling. SDM 2009: 628-637 - [c62]Abhimanyu Lad, Yiming Yang, Rayid Ghani, Bryan Kisiel:
Toward Optimal Ordering of Prediction Tasks. SDM 2009: 884-893 - [c61]Yiming Yang, Subramaniam Ganapathy, Abhay Harpale:
Protein identification as an information retrieval problem. SIGIR 2009: 752-753 - [c60]Yiming Yang, Xin Peng, Wenyun Zhao:
Domain Feature Model Recovery from Multiple Applications Using Data Access Semantics and Formal Concept Analysis. WCRE 2009: 215-224 - 2008
- [j18]Daqing He, Peter Brusilovsky, Jae-wook Ahn, Jonathan Grady, Rosta Farzan, Yefei Peng, Yiming Yang, Monica Rogati:
An evaluation of adaptive filtering in the context of realistic task-based information exploration. Inf. Process. Manag. 44(2): 511-533 (2008) - [j17]Jian Zhang, Zoubin Ghahramani, Yiming Yang:
Flexible latent variable models for multi-task learning. Mach. Learn. 73(3): 221-242 (2008) - [j16]Yiming Yang, Thorsten Joachims:
Text categorization. Scholarpedia 3(5): 4242 (2008) - [c59]Monica Rogati, Yiming Yang, Jaime G. Carbonell:
Corpus microsurgery: criteria optimization for medical cross-language ir. CIKM 2008: 1365-1366 - [c58]Kiranmai Bellam, Adam Manzanares, Xiaojun Ruan, Xiao Qin, Yiming Yang:
Improving reliability and energy efficiency of disk systems via utilization control. ISCC 2008: 462-467 - [c57]Abhay Harpale, Yiming Yang:
Personalized active learning for collaborative filtering. SIGIR 2008: 91-98 - 2007
- [j15]Jeffrey Junfeng Pan, Qiang Yang, Yiming Yang, Lei Li, Frances Tianyi Li, George Wenmin Li:
Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases. IEEE Intell. Syst. 22(1): 46-51 (2007) - [c56]Abhimanyu Lad, Yiming Yang:
Generalizing from relevance feedback using named entity wildcards. CIKM 2007: 721-730 - [c55]Yiming Yang, Xin Peng, Wenyun Zhao:
An Automatic Connector Generation Method for Dynamic Architecture. COMPSAC (2) 2007: 409-414 - [c54]Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati:
Utility-based information distillation over temporally sequenced documents. SIGIR 2007: 31-38 - [c53]Ziliang Zong, Xiao Qin, Xiaojun Ruan, Kiranmai Bellam, Yiming Yang, Adam Manzanares:
A simulation framework for energy efficient data grids. WSC 2007: 1417-1423 - 2005
- [j14]Fan Li, Yiming Yang:
Analysis of recursive gene selection approaches from microarray data. Bioinform. 21(19): 3741-3747 (2005) - [j13]Tie-Yan Liu, Yiming Yang, Hao Wan, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma:
Support vector machines classification with a very large-scale taxonomy. SIGKDD Explor. 7(1): 36-43 (2005) - [c52]Fan Li, Yiming Yang:
Using Modified Lasso Regression to Learn Large Undirected Graphs in a Probabilistic Framework. AAAI 2005: 801-806 - [c51]Yiming Yang, Qiang Yang, Wei Lu, Sinno Jialin Pan, Rong Pan, Chenhui Lu, Lei Li, Zhenxing Qin:
Preprocessing Time Series Data for Classification with Application to CRM. Australian Conference on Artificial Intelligence 2005: 133-142 - [c50]Yiming Yang, Monica Rogati, Bryan Kisiel:
Combining Categorization-based and Corpus-based Approaches for CLIR. FLAIRS 2005: 295-300 - [c49]Fan Li, Yiming Yang, Eric P. Xing:
From Lasso regression to Feature vector machine. NIPS 2005: 779-786 - [c48]Jian Zhang, Zoubin Ghahramani, Yiming Yang:
Learning Multiple Related Tasks using Latent Independent Component Analysis. NIPS 2005: 1585-1592 - [c47]Fan Li, Yiming Yang:
Using recursive classification to discover predictive features. SAC 2005: 1054-1058 - [c46]Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel:
Robustness of adaptive filtering methods in a cross-benchmark evaluation. SIGIR 2005: 98-105 - [c45]Fan Li, Yiming Yang:
Analysis of recursive feature elimination methods. SIGIR 2005: 633-634 - [c44]Tie-Yan Liu, Yiming Yang, Hao Wan, Qian Zhou, Bin Gao, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma:
An experimental study on large-scale web categorization. WWW (Special interest tracks and posters) 2005: 1106-1107 - 2004
- [j12]David D. Lewis, Yiming Yang, Tony G. Rose, Fan Li:
RCV1: A New Benchmark Collection for Text Categorization Research. J. Mach. Learn. Res. 5: 361-397 (2004) - [c43]Monica Rogati, Yiming Yang:
Customizing Parallel Corpora at the Document Level. ACL (Poster and Demonstration) 2004 - [c42]Nianli Ma, Yiming Yang, Monica Rogati:
Applying CLIR Techniques to Event Tracking. AIRS 2004: 24-35 - [c41]Bryan Klimt, Yiming Yang:
Introducing the Enron Corpus. CEAS 2004 - [c40]Ashwin Tengli, Yiming Yang, Nianli Ma:
Learning Table Extraction from Examples. COLING 2004 - [c39]Bryan Klimt, Yiming Yang:
The Enron Corpus: A New Dataset for Email Classification Research. ECML 2004: 217-226 - [c38]Vincent Bricout, Denis Heliot, Adrian Cretoiu, Yiming Yang, Thierry Simien, Lise B. Hvatum:
Patterns for Managing Distributed Product Development Teams. EuroPLoP 2004: 109-122 - [c37]Jian Zhang, Yiming Yang:
Probabilistic score estimation with piecewise logistic regression. ICML 2004 - [c36]Jian Zhang, Zoubin Ghahramani, Yiming Yang:
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection. NIPS 2004: 1617-1624 - [c35]Monica Rogati, Yiming Yang:
Resource selection for domain-specific cross-lingual IR. SIGIR 2004: 154-161 - 2003
- [j11]Yiming Yang:
On Adverb's Pragmatic Classification. J. Chin. Lang. Comput. 13 (2003) - [c34]Monica Rogati, J. Scott McCarley, Yiming Yang:
Unsupervised Learning of Arabic Stemming Using a Parallel Corpus. ACL 2003: 391-398 - [c33]Yiming Yang, Bryan Kisiel:
Margin-based local regression for adaptive filtering. CIKM 2003: 191-198 - [c32]Monica Rogati, Yiming Yang:
Multilingual Information Retrieval Using Open, Transparent Resources in CLEF 2003. CLEF 2003: 133-139 - [c31]Monica Rogati, Yiming Yang:
CONTROL: CLEF-2003 with Open, Transparent Resources Off-Line. CLEF (Working Notes) 2003 - [c30]Fan Li, Yiming Yang:
A Loss Function Analysis for Classification Methods in Text Categorization. ICML 2003: 472-479 - [c29]Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Hauptmann:
Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization. ICML 2003: 888-895 - [c28]Yiming Yang, Jian Zhang, Bryan Kisiel:
A scalability analysis of classifiers in text categorization. SIGIR 2003: 96-103 - [c27]Jian Zhang, Yiming Yang:
Robustness of regularized linear classification methods in text categorization. SIGIR 2003: 190-197 - [c26]Yun Xie, Yiming Yang, Zeming Deng, Bingru Liu, Bo Yi:
Design and realization of communication mechanism of autonomous robot soccer based on multi-agent system. SMC 2003: 66-71 - 2002
- [j10]Tom Ault, Yiming Yang:
Information Filtering in TREC-9 and TDT-3: A Comparative Analysis. Inf. Retr. 5(2-3): 159-187 (2002) - [j9]Yiming Yang, Seán Slattery, Rayid Ghani:
A Study of Approaches to Hypertext Categorization. J. Intell. Inf. Syst. 18(2-3): 219-241 (2002) - [c25]Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider, Yiming Yang:
Stochastic Link and Group Detection. AAAI/IAAI 2002: 798-806 - [c24]Yan Liu, Yiming Yang, Jaime G. Carbonell:
Boosting to correct inductive bias in text classification. CIKM 2002: 348-355 - [c23]Monica Rogati, Yiming Yang:
High-performing feature selection for text classification. CIKM 2002: 659-661 - [c22]Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun Jin:
Topic-conditioned novelty detection. KDD 2002: 688-693 - [c21]Yiming Yang, Nianli Ma:
CMU in Cross-Language Information Retrieval at NTCIR-3. NTCIR 2002 - 2001
- [c20]Monica Rogati, Yiming Yang:
Cross-Lingual Pseudo-Relevance Feedback Using a Comparable Corpus. CLEF 2001: 151-157 - [c19]Monica Rogati, Yiming Yang:
CMU PRF using a Comparable Corpus. CLEF (Working Notes) 2001 - [c18]Rayid Ghani, Seán Slattery, Yiming Yang:
Hypertext Categorization using Hyperlink Patterns and Meta Data. ICML 2001: 178-185 - [c17]Yiming Yang:
A Study on Thresholding Strategies for Text Categorization. SIGIR 2001: 137-145 - [c16]Tom Ault, Yiming Yang:
kNN, Rocchio and Metrics for Information Filtering at TREC-10. TREC 2001 - 2000
- [j8]Jaime G. Carbonell, Yiming Yang, William W. Cohen:
Special Issue of Machine Learning on Information Retrieval - Introduction. Mach. Learn. 39(2/3): 99-101 (2000) - [c15]Yiming Yang, Tom Ault, Thomas Pierce:
Combining Multiple Learning Strategies for Effective Cross Validation. ICML 2000: 1167-1174 - [c14]Yiming Yang, Tom Ault, Thomas Pierce, Charles W. Lattimer:
Improving text categorization methods for event tracking. SIGIR 2000: 65-72 - [c13]Tom Ault, Yiming Yang:
kNN at TREC-9. TREC 2000
1990 – 1999
- 1999
- [j7]Yiming Yang, Jan O. Pedersen:
Intelligent information retrieval. IEEE Intell. Syst. 14(4): 30-31 (1999) - [j6]Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Thomas Pierce, Blair Archibald, Xin Liu:
Learning approaches for detecting and tracking news events. IEEE Intell. Syst. 14(4): 32-43 (1999) - [j5]Yiming Yang:
An Evaluation of Statistical Approaches to Text Categorization. Inf. Retr. 1(1-2): 69-90 (1999) - [c12]Yiming Yang, Xin Liu:
A Re-Examination of Text Categorization Methods. SIGIR 1999: 42-49 - 1998
- [j4]Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Robert E. Frederking:
Translingual Information Retrieval: Learning from Bilingual Corpora. Artif. Intell. 103(1-2): 323-345 (1998) - [c11]Yiming Yang, Thomas Pierce, Jaime G. Carbonell:
A Study of Retrospective and On-Line Event Detection. SIGIR 1998: 28-36 - 1997
- [c10]Yiming Yang, Jan O. Pedersen:
A Comparative Study on Feature Selection in Text Categorization. ICML 1997: 412-420 - [c9]Jaime G. Carbonell, Yiming Yang, Robert E. Frederking, Ralf D. Brown, Yibing Geng, Danny Lee:
Translingual Information Retrieval: A Comparative Evaluation. IJCAI (1) 1997: 708-715 - 1996
- [j3]W. John Wilbur, Yiming Yang:
An analysis of statistical term strength and its use in the indexing and retrieval of molecular biology texts. Comput. Biol. Medicine 26(3): 209-222 (1996) - [j2]Yiming Yang, W. John Wilbur:
Using Corpus Statistics to Remove Redundant Words in Text Categorization. J. Am. Soc. Inf. Sci. 47(5): 357-369 (1996) - 1995
- [c8]Yiming Yang:
Noise Reduction in a Statistical Approach to Text Categorization. SIGIR 1995: 256-263 - 1994
- [j1]Yiming Yang, Christopher G. Chute:
An Example-Based Mapping Method for Text Categorization and Retrieval. ACM Trans. Inf. Syst. 12(3): 252-277 (1994) - [c7]Yiming Yang:
Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval. SIGIR 1994: 13-22 - [c6]Yiming Yang, Christopher G. Chute, Geoffrey E. Atkin, Andrew Anda:
TREC-3 Retrieval Evaluation Using Expert Network. TREC 1994 - 1993
- [c5]Yiming Yang, Christopher G. Chute:
An Application of Least Squares Fit Mapping to Text Information Retrieval. SIGIR 1993: 281-290 - 1992
- [c4]Yiming Yang, Christopher G. Chute:
A Linear Least Squares Fit Mapping Method For Information Retrieval From Natural Language Texts. COLING 1992: 447-453
1980 – 1989
- 1987
- [c3]Yiming Yang:
Combining Prediction, Syntactic Analysis and Semantic Analysis in Chinese Sentence Analysis. IJCAI 1987: 679-681 - 1985
- [c2]Yiming Yang, Shuji Doshita, Toyoaki Nishida:
Partial Constraints in Chinese Analysis. IJCAI 1985: 826-828 - 1984
- [c1]Yiming Yang, Toyoaki Nishida, Shuji Doshita:
Use Of Heuristic Knowledge In Chinese Language Analysis. COLING 1984: 222-225
Coauthor Index
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