default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJieyu Zhang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j12]Xiaojie Ma
, Jieyu Zhang, Tianchao Miao, Fawen Xie, Zhongqiu Geng:
Measurement Approach for the Pose of Flanges in Cabin Assemblies through Distributed Vision. Sensors 24(14): 4484 (2024)- [c36]Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna:
Iterated Learning Improves Compositionality in Large Vision-Language Models. CVPR 2024: 13785-13795 - [c35]Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta, Ranjay Krishna:
m &m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks. ECCV (10) 2024: 18-34 - [c34]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang:
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. EMNLP 2024: 22315-22339 - [c33]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. ICML 2024 - [c32]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Offline Training of Language Model Agents with Functions as Learnable Weights. ICML 2024 - [i50]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang:
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR abs/2401.07128 (2024) - [i49]Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach:
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision. CoRR abs/2402.01867 (2024) - [i48]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Training Language Model Agents without Modifying Language Models. CoRR abs/2402.11359 (2024) - [i47]Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta, Ranjay Krishna:
m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks. CoRR abs/2403.11085 (2024) - [i46]Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C. Ho, Carl Yang:
LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction. CoRR abs/2403.15464 (2024) - [i45]Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna:
Iterated Learning Improves Compositionality in Large Vision-Language Models. CoRR abs/2404.02145 (2024) - [i44]Linxin Song, Jiale Liu, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang:
Adaptive In-conversation Team Building for Language Model Agents. CoRR abs/2405.19425 (2024) - [i43]Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna:
Task Me Anything. CoRR abs/2406.11775 (2024) - [i42]Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - [i41]Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang:
Biomedical Visual Instruction Tuning with Clinician Preference Alignment. CoRR abs/2406.13173 (2024) - [i40]Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong:
Rethinking LLM-based Preference Evaluation. CoRR abs/2407.01085 (2024) - [i39]Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i38]Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Hui Xiong, Ranjay Krishna:
Language Model Preference Evaluation with Multiple Weak Evaluators. CoRR abs/2410.12869 (2024) - [i37]Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang:
EcoAct: Economic Agent Determines When to Register What Action. CoRR abs/2411.01643 (2024) - 2023
- [j11]Chunhong Liu, Jieyu Zhang, Haoyang Zhang, Xiaoniu Li, En Zhang:
Group Cooperative Teaching Design With Knowledge Graphs in Project-Driven Learning. Int. J. Inf. Commun. Technol. Educ. 19(1): 1-11 (2023) - [j10]Chunhong Liu, Haoyang Zhang, Jieyu Zhang, Zhengling Zhang, Peiyan Yuan:
Design of a Learning Path Recommendation System Based on a Knowledge Graph. Int. J. Inf. Commun. Technol. Educ. 19(1): 1-18 (2023) - [j9]Jieyu Zhang, Zidong Wang, Weibo Liu, Xiaohui Liu, Qiusheng Zheng:
A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors. Int. J. Mach. Learn. Cybern. 14(9): 2903-2912 (2023) - [j8]Yuanqi Du, Xian Liu, Nilay Mahesh Shah, Shengchao Liu, Jieyu Zhang, Bolei Zhou:
ChemSpacE: Interpretable and Interactive Chemical Space Exploration. Trans. Mach. Learn. Res. 2023 (2023) - [j7]Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao:
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. Trans. Mach. Learn. Res. 2023 (2023) - [c31]Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang:
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. ACL (1) 2023: 2499-2521 - [c30]Jieyu Zhang, Linxin Song, Alex Ratner:
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. AISTATS 2023: 157-171 - [c29]Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach:
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision. IEEE Big Data 2023: 875-884 - [c28]Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou:
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning. CVPR 2023: 20215-20225 - [c27]Chengkai Hou, Jieyu Zhang, Tianyi Zhou:
When to Learn What: Model-Adaptive Data Augmentation Curriculum. ICCV 2023: 1717-1728 - [c26]Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou:
Subclass-balancing Contrastive Learning for Long-tailed Recognition. ICCV 2023: 5372-5384 - [c25]Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu:
Learning Hyper Label Model for Programmatic Weak Supervision. ICLR 2023 - [c24]Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang:
Leveraging Relational Graph Neural Network for Transductive Model Ensemble. KDD 2023: 775-787 - [c23]Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. NeurIPS 2023 - [c22]Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
DataComp: In search of the next generation of multimodal datasets. NeurIPS 2023 - [c21]Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna:
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. NeurIPS 2023 - [c20]Jeffrey Li, Jieyu Zhang, Ludwig Schmidt, Alexander J. Ratner:
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision. NeurIPS 2023 - [c19]Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang:
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. NeurIPS 2023 - [c18]Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander J. Ratner:
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training. NeurIPS 2023 - [c17]Yaming Yang, Jieyu Zhang, Yujing Wang, Zheng Miao, Yunhai Tong:
Multiple Connectivity Views for Session-based Recommendation. RecSys 2023: 1000-1006 - [i36]Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
DataComp: In search of the next generation of multimodal datasets. CoRR abs/2304.14108 (2023) - [i35]Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, Magdalena Balazinska:
MaskSearch: Querying Image Masks at Scale. CoRR abs/2305.02375 (2023) - [i34]Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander Ratner:
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training. CoRR abs/2305.12224 (2023) - [i33]Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou:
Taming Small-sample Bias in Low-budget Active Learning. CoRR abs/2306.11056 (2023) - [i32]Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna:
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. CoRR abs/2306.14610 (2023) - [i31]Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang:
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. CoRR abs/2306.15895 (2023) - [i30]Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou:
Subclass-balancing Contrastive Learning for Long-tailed Recognition. CoRR abs/2306.15925 (2023) - [i29]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. CoRR abs/2307.10635 (2023) - [i28]Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang:
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. CoRR abs/2308.08155 (2023) - [i27]Chengkai Hou, Jieyu Zhang, Tianyi Zhou:
When to Learn What: Model-Adaptive Data Augmentation Curriculum. CoRR abs/2309.04747 (2023) - [i26]Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR abs/2309.15123 (2023) - [i25]Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li:
NLPBench: Evaluating Large Language Models on Solving NLP Problems. CoRR abs/2309.15630 (2023) - [i24]Jieyu Zhang, Ranjay Krishna, Ahmed Hassan Awadallah, Chi Wang:
EcoAssistant: Using LLM Assistant More Affordably and Accurately. CoRR abs/2310.03046 (2023) - [i23]Zhengyu Hu, Jieyu Zhang, Yue Yu, Yuchen Zhuang, Hui Xiong:
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking. CoRR abs/2312.01619 (2023) - 2022
- [j6]Jieyu Zhang, Miqing Li, Weibo Liu, Stanislao Lauria, Xiaohui Liu:
Many-objective optimization meets recommendation systems: A food recommendation scenario. Neurocomputing 503: 109-117 (2022) - [j5]Cheng-Yu Hsieh, Jieyu Zhang, Alexander J. Ratner:
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. Proc. VLDB Endow. 15(13): 4093-4105 (2022) - [c16]Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner:
Binary Classification with Positive Labeling Sources. CIKM 2022: 4672-4676 - [c15]Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto:
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. EMNLP (Findings) 2022: 1641-1655 - [c14]Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner:
Creating Training Sets via Weak Indirect Supervision. ICLR 2022 - [c13]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. LoG 2022: 47 - [c12]Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang:
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. NAACL-HLT 2022: 1422-1436 - [c11]Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J. Ratner:
Understanding Programmatic Weak Supervision via Source-aware Influence Function. NeurIPS 2022 - [c10]Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. WWW 2022: 925-934 - [i22]Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. CoRR abs/2202.04887 (2022) - [i21]Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner:
A Survey on Programmatic Weak Supervision. CoRR abs/2202.05433 (2022) - [i20]Cheng-Yu Hsieh, Jieyu Zhang, Alexander Ratner:
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. CoRR abs/2203.01382 (2022) - [i19]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. CoRR abs/2203.06714 (2022) - [i18]Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang:
Augmentation-Free Graph Contrastive Learning. CoRR abs/2204.04874 (2022) - [i17]Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander Ratner:
Understanding Programmatic Weak Supervision via Source-aware Influence Function. CoRR abs/2205.12879 (2022) - [i16]Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou:
Representation Gap in Deep Reinforcement Learning. CoRR abs/2205.14557 (2022) - [i15]Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner:
Binary Classification with Positive Labeling Sources. CoRR abs/2208.01704 (2022) - [i14]Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang:
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. CoRR abs/2209.06995 (2022) - [i13]Jieyu Zhang, Linxin Song, Alexander Ratner:
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. CoRR abs/2210.02724 (2022) - [i12]Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto:
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. CoRR abs/2210.03092 (2022) - [i11]Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang:
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph? CoRR abs/2211.10890 (2022) - [i10]Hong Guo, Yujing Wang, Jieyu Zhang, Zhengjie Lin, Yunhai Tong, Lei Yang, Luoxing Xiong, Congrui Huang:
Label-Efficient Interactive Time-Series Anomaly Detection. CoRR abs/2212.14621 (2022) - 2021
- [j4]Wenbin Yue, Zidong Wang, Jieyu Zhang, Xiaohui Liu:
An Overview of Recommendation Techniques and Their Applications in Healthcare. IEEE CAA J. Autom. Sinica 8(4): 701-717 (2021) - [c9]Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. AAAI 2021: 4662-4670 - [c8]Carl Yang, Jieyu Zhang, Jiawei Han:
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI 2021: 4859-4863 - [c7]Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu:
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD. NeurIPS 2021: 26080-26090 - [c6]Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner:
WRENCH: A Comprehensive Benchmark for Weak Supervision. NeurIPS Datasets and Benchmarks 2021 - [i9]Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. CoRR abs/2101.01896 (2021) - [i8]Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han:
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR abs/2104.03682 (2021) - [i7]Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner:
WRENCH: A Comprehensive Benchmark for Weak Supervision. CoRR abs/2109.11377 (2021) - [i6]Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner:
Creating Training Sets via Weak Indirect Supervision. CoRR abs/2110.03484 (2021) - [i5]Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu:
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD. CoRR abs/2110.13750 (2021) - [i4]Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang:
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. CoRR abs/2112.08787 (2021) - 2020
- [c5]Carl Yang, Jieyu Zhang, Jiawei Han:
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. ICDM 2020: 721-730 - [c4]Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han:
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. SIGIR 2020: 1629-1632 - [c3]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. WSDM 2020: 699-707
2010 – 2019
- 2019
- [j3]Jieyu Zhang, Yuanying Qiu, Xuechao Duan, Kangli Xu, Changqi Yang:
An Improved Robust Method for Pose Estimation of Cylindrical Parts with Interference Features. Sensors 19(10): 2234 (2019) - [c2]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. ICDM 2019: 698-707 - [i3]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. CoRR abs/1910.00005 (2019) - [i2]Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR abs/1910.01451 (2019) - [i1]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. CoRR abs/1911.05465 (2019) - 2018
- [j2]Jiang Xie, Taifeng Sun, Jieyu Zhang, Wu Zhang:
A New Hybrid Method for Parameter Optimization of SVR. J. Adv. Comput. Intell. Intell. Informatics 22(2): 271-279 (2018) - 2012
- [c1]Jieyu Zhang, John L. Barron:
Optical Flow at Occlusion. CRV 2012: 198-205 - 2011
- [j1]Jieyu Zhang, Qiang Chen, Quan-Sen Sun, Huaijiang Sun, De-Shen Xia:
A highly repeatable feature detector: improved Harris-Laplace. Multim. Tools Appl. 52(1): 175-186 (2011)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-12 20:58 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
