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ORCIDJiacheng Zhu
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
[j15]Dujuan Wang, Jiacheng Zhu, Yunqiang Yin, Joshua Ignatius, Xiaowen Wei
, Ajay Kumar:
Dynamic travel time prediction with spatiotemporal features: using a GNN-based deep learning method. Ann. Oper. Res. 340(1): 571-591 (2024)- [j14]Jiacheng Zhu, Yu Ding, Hanwei Liu, Keyu Chen, Zhanpeng Lin, Wenxing Hong:
Emotion knowledge-based fine-grained facial expression recognition. Neurocomputing 610: 128536 (2024) - [j13]Maoyuan Qin, Jiacheng Zhu, Baolei Mao, Wei Hu:
Hardware/software security co-verification and vulnerability detection: An information flow perspective. Integr. 94: 102089 (2024) - [j12]Jiacheng Zhu, Junjie Wen, Duanqin Hong, Zhanpeng Lin, Wenxing Hong:
UIR-ES: An unsupervised underwater image restoration framework with equivariance and stein unbiased risk estimator. Image Vis. Comput. 151: 105285 (2024) - [j11]Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao:
Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. IEEE Robotics Autom. Lett. 9(5): 4639-4646 (2024) - [c38]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. AISTATS 2024: 217-225 - [c37]Jiacheng Zhu, Xuqi Zhu, Michal Borowski, Huaizhi Zhang, Chandrajit Pal, Sangeet Saha, Dongbing Gu, Klaus D. McDonald-Maier, Xiaojun Zhai:
NIRVANA: Non-Invasive Real-Time VulnerAbility ANAlysis for RISC-V Processor. COINS 2024: 1-6 - [c36]Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Ding Zhao, Bo Li, Lijuan Wang:
MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos. CVPR 2024: 21909-21921 - [c35]Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon:
Asymmetry in Low-Rank Adapters of Foundation Models. ICML 2024 - [i40]Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, Jianliang Ai, Yiqun Dong:
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge. CoRR abs/2402.12729 (2024) - [i39]Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon:
Asymmetry in Low-Rank Adapters of Foundation Models. CoRR abs/2402.16842 (2024) - [i38]Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - [i37]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - [i36]Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. CoRR abs/2407.00066 (2024) - [i35]Xuqi Zhu, Huaizhi Zhang, JunKyu Lee, Jiacheng Zhu, Chandrajit Pal, Sangeet Saha, Klaus D. McDonald-Maier, Xiaojun Zhai:
Fast, Scalable, Energy-Efficient Non-element-wise Matrix Multiplication on FPGA. CoRR abs/2407.02362 (2024) - [i34]Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao:
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR abs/2407.10967 (2024) - [i33]Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi:
LEMoN: Label Error Detection using Multimodal Neighbors. CoRR abs/2407.18941 (2024) - [i32]Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathy McKeown, Chris Callison-Burch:
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples. CoRR abs/2410.12757 (2024) - 2023
- [j10]Dongfang Ma, Jiacheng Zhu, Xiang (Ben) Song, Xin Wang:
Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network. Expert Syst. Appl. 213(Part): 119161 (2023) - [j9]Jiacheng Zhu, Zhicheng Zhao, Quan Liu, Xinhua Chen, Huan Li, Shaofan Tang, Weimin Shen:
Geostationary Full-Spectrum Wide-Swath High-Fidelity Imaging Spectrometer: Optical Design and Prototype Development. Remote. Sens. 15(2): 396 (2023) - [j8]Sutong Wang, Jiacheng Zhu, Yunqiang Yin, Dujuan Wang, T. C. Edwin Cheng, Yanzhang Wang:
Interpretable Multi-Modal Stacking-Based Ensemble Learning Method for Real Estate Appraisal. IEEE Trans. Multim. 25: 315-328 (2023) - [c34]Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin:
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. ACL (Findings) 2023: 1584-1601 - [c33]Shibo Tang, Jiacheng Zhu, Yifei Gao, Jing Zhou, Dejun Mu, Wei Hu:
Verifying RISC-V Privilege Transition Integrity Through Symbolic Execution. ATS 2023: 1-6 - [c32]Lingjuan Wu, Yifei Gao, Jiacheng Zhu, Yu Tai, Wei Hu:
Security Verification of RISC-V System Based on ISA Level Information Flow Tracking. ATS 2023: 1-6 - [c31]Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao:
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? EACL (Findings) 2023: 442-453 - [c30]Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao:
Can Brain Signals Reveal Inner Alignment with Human Languages? EMNLP (Findings) 2023: 1789-1804 - [c29]Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao:
Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation. ICASSP 2023: 1-5 - [c28]Wenxing Hong, Zhuomin Li, Xiang Li, Jiacheng Zhu:
CTAN: Collaborative Tag-Aware Attentive Network for Recommendation. ICCSE (1) 2023: 87-99 - [c27]Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao:
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. ICML 2023: 43129-43157 - [c26]Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang:
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. IROS 2023: 1023-1030 - [c25]Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang:
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. IROS 2023: 11384-11389 - [c24]Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun:
Interactive Car-Following: Matters but NOT Always. ITSC 2023: 5120-5125 - [c23]Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao:
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report. ML4H@NeurIPS 2023: 480-497 - [c22]Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. NeurIPS 2023 - [i31]Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao:
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? CoRR abs/2301.09017 (2023) - [i30]Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao:
Interpolation for Robust Learning: Data Augmentation on Geodesics. CoRR abs/2302.02092 (2023) - [i29]Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang:
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. CoRR abs/2303.05193 (2023) - [i28]Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao:
Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding. CoRR abs/2304.06286 (2023) - [i27]Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen:
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. CoRR abs/2304.07675 (2023) - [i26]Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Bo Li, Ding Zhao, Lijuan Wang:
MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos. CoRR abs/2306.04216 (2023) - [i25]Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao:
Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR abs/2306.09303 (2023) - [i24]Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun:
Interactive Car-Following: Matters but NOT Always. CoRR abs/2307.16127 (2023) - [i23]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. CoRR abs/2309.13150 (2023) - [i22]Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. CoRR abs/2310.03718 (2023) - [i21]Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao:
Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. CoRR abs/2311.10747 (2023) - 2022
- [j7]Dongsheng Chen, Cong Tan, Peiwen Ding, Lihua Luo, Jiacheng Zhu, Xiaosen Jiang, Zhihua Ou, Xiangning Ding, Tianming Lan, Yixin Zhu, Yi Jia, Yanan Wei, Runchu Li, Qiuyu Qin, Chengcheng Sun, Wandong Zhao, Zhiyuan Lv, Haoyu Wang, Wendi Wu, Yuting Yuan, Mingyi Pu, Yuejiao Li, Yanan Zhang, Ashley Chang, Guoji Guo, Yong Bai, Xin Jin, Huan Liu:
VThunter: a database for single-cell screening of virus target cells in the animal kingdom. Nucleic Acids Res. 50(D1): 934-942 (2022) - [j6]Wenshuo Wang, Weiyang Zhang, Jiacheng Zhu, Ding Zhao:
Understanding V2V Driving Scenarios Through Traffic Primitives. IEEE Trans. Intell. Transp. Syst. 23(1): 610-619 (2022) - [j5]Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi:
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. IEEE Trans. Intell. Transp. Syst. 23(7): 6446-6459 (2022) - [c21]Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren:
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CHIL 2022: 354-374 - [c20]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRL 2022: 1309-1320 - [c19]Wenxing Hong, Hejia Zhang, Jiacheng Zhu:
FedHD: A Privacy-Preserving Recommendation System with Homomorphic Encryption and Differential Privacy. ICCSE (1) 2022: 581-594 - [c18]Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao:
Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. IROS 2022: 12919-12926 - [c17]Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao:
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. MLHC 2022: 172-197 - [c16]Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao:
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS 2022 - [c15]Yiwen Dong, Jiacheng Zhu, Hae Young Noh:
Re-vibe: vibration-based indoor person re-identification through cross-structure optimal transport. BuildSys 2022: 348-352 - [i20]Jielin Qiu, Jiacheng Zhu, Michael A. Rosenberg, Emerson Liu, Ding Zhao:
Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction. CoRR abs/2202.00567 (2022) - [i19]Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren:
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CoRR abs/2203.12595 (2022) - [i18]Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin:
MHMS: Multimodal Hierarchical Multimedia Summarization. CoRR abs/2204.03734 (2022) - [i17]Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao:
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. CoRR abs/2208.01220 (2022) - [i16]William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao:
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram. CoRR abs/2208.06348 (2022) - [i15]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRR abs/2210.04625 (2022) - [i14]Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin:
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. CoRR abs/2210.04722 (2022) - [i13]Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao:
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR abs/2210.10195 (2022) - 2021
- [j4]Lixiang Shen, Dejun Mu, Guo Cao, Maoyuan Qin, Jiacheng Zhu, Wei Hu:
Accelerating hardware security verification and vulnerability detection through state space reduction. Comput. Secur. 103: 102167 (2021) - [j3]Dongfang Ma, Xiang Ben Song, Jiacheng Zhu, Weihao Ma:
Input data selection for daily traffic flow forecasting through contextual mining and intra-day pattern recognition. Expert Syst. Appl. 176: 114902 (2021) - [c14]Xingxin Wang, Jian Zheng, Lingjuan Wu, Jiacheng Zhu, Wei Hu:
A Correlation Fault Attack on Rotating S-Box Masking AES. AsianHOST 2021: 1-6 - [c13]Binyue Cui, Wenxing Hong, Jiacheng Zhu, Xiaolin Wu:
Digitalization Capability Evaluation System and Practice. ICCSE 2021: 164-167 - [c12]Wenxing Hong, Xiaolin Wu, Binyue Cui, Jiacheng Zhu, Yuwen Chen:
CAE: A Framework for Computer-Aided Talent Evaluation. ICCSE 2021: 183-187 - [c11]Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao:
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. ICRA 2021: 10689-10695 - [c10]Lingjuan Wu, Xuefei Li, Jiacheng Zhu, Jian Zheng, Wei Hu:
Identifying Specious LUTs for Satisfiability Don't Care Trojan Detection. SoCC 2021: 170-175 - [i12]Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao:
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. CoRR abs/2101.00531 (2021) - [i11]Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao:
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data. CoRR abs/2102.03895 (2021) - [i10]Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao:
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling. CoRR abs/2106.10566 (2021) - 2020
- [j2]Wenshuo Wang, Aditya Ramesh, Jiacheng Zhu, Jie Li, Ding Zhao:
Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories. IEEE Trans. Intell. Veh. 5(3): 485-496 (2020) - [c9]Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang:
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract). AAAI 2020: 13819-13820 - [c8]Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang:
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract). AAAI 2020: 13997-13998 - [c7]Jiacheng Zhu, Chong Jiang:
TAC-GAIL: A Multi-modal Imitation Learning Method. ICONIP (2) 2020: 688-699 - [c6]Weiyang Zhang, Wenshuo Wang, Jiacheng Zhu, Ding Zhao:
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression. IV 2020: 1197-1204 - [c5]Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao:
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. NeurIPS 2020 - [i9]Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi:
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. CoRR abs/2003.00759 (2020) - [i8]Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen, Ding Zhao:
Robust Unsupervised Learning of Temporal Dynamic Interactions. CoRR abs/2006.10241 (2020) - [i7]Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao:
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. CoRR abs/2006.11441 (2020)
2010 – 2019
- 2019
- [j1]Fajiang Yu, Jing Chen, Yang Xiang, Jiacheng Zhu, Yangdi Zhao:
An efficient anonymous remote attestation scheme for trusted computing based on improved CPK. Electron. Commer. Res. 19(3): 689-718 (2019) - [c4]Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao:
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. ITSC 2019: 3974-3980 - [c3]Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A General Framework of Learning Multi-Vehicle Interaction Patterns from Video. ITSC 2019: 4323-4328 - [i6]Songlin Xu, Jiacheng Zhu:
Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles. CoRR abs/1904.10176 (2019) - [i5]Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao:
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. CoRR abs/1906.10307 (2019) - [i4]Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos. CoRR abs/1907.07315 (2019) - [i3]Jiacheng Zhu, Shenghao Qin, Wenshuo Wang, Ding Zhao:
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process. CoRR abs/1910.08102 (2019) - [i2]Shenghao Qin, Jiacheng Zhu, Jimmy Qin, Wenshuo Wang, Ding Zhao:
Recurrent Attentive Neural Process for Sequential Data. CoRR abs/1910.09323 (2019) - 2018
- [c2]Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. ITSC 2018: 2052-2057 - [i1]Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. CoRR abs/1805.04925 (2018) - 2010
- [c1]Guangfu Sun, Chengjun Li, Jiacheng Zhu, Yanpeng Li, Wei Liu:
An Efficient Genetic Algorithm for the Traveling Salesman Problem. ISICA (2) 2010: 108-116
Coauthor Index
[j11] [c38] [c36] [i34] [c34] [c31] [c30] [c29] [c27] [c26] [c25] [c23] [c22] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i23] [i22] [i21] [j6] [c21] [c20] [c18] [c17] [c16] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [c11] [i12] [i11] [i10] [j2] [c6] [c5] [i8] [i7] [c4] [c3] [i5] [i4] [i3] [i2] [c2] [i1]
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last updated on 2024-12-05 20:44 CET by the dblp team
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