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Publication search results
found 61 matches
- 2024
- Yiding Chen, Xuezhou Zhang, Qiaomin Xie, Xiaojin Zhu:
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption. AAAI 2024: 11416-11424 - Andrea Palmieri, Mahdi Tavakoli, Chi Ching, Wenkai Zheng, Shi You, Xiaodong Zhang, Davide Cornigli, Michael Haverty, Navneet Singh, Luca Larcher, Monika Jamieson, Ajay Bhatnagar, Alexander Jansen, Max Gage, Jianshe Tang, Sameer Deshpande, Brian Brown, Arun Srivatsa, Mehul Naik, Bo Xie, Jerry Gelatos, Joung Joo Lee, Xianmin Tang, Gaurav Thareja, Milan Pesic:
Characterization and Multiscale Modeling of TDDB in State-of-the-art BEOL. IRPS 2024: 10 - Gaganpreet Jhajj
, Xiaokun Zhang
, Jerry Ryan Gustafson
, Fuhua Lin
, Michael Pin-Chuan Lin
:
Educational Knowledge Graph Creation and Augmentation via LLMs. ITS (2) 2024: 292-304 - 2023
- Qi Zhang, Jingyu Xiao, Chunwei Tian
, Jerry Chun-Wei Lin, Shichao Zhang:
A robust deformed convolutional neural network (CNN) for image denoising. CAAI Trans. Intell. Technol. 8(2): 331-342 (2023) - Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu:
Byzantine-Robust Online and Offline Distributed Reinforcement Learning. AISTATS 2023: 3230-3269 - Jinglun Yu, Muhan Shao, Zhangxing Bian
, Xiao Liang, Jiachen Zhuo, Maureen Stone, Jerry L. Prince:
New starting point registration method for tagged MRI tongue motion estimation. Medical Imaging: Image Processing 2023 - Xiao Chen
, Wenqi Fan
, Jingfan Chen
, Haochen Liu
, Zitao Liu
, Zhaoxiang Zhang
, Qing Li
:
Fairly Adaptive Negative Sampling for Recommendations. WWW 2023: 3723-3733 - Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li:
Fairly Adaptive Negative Sampling for Recommendations. CoRR abs/2302.08266 (2023) - Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian
, Tess E. Smidt, Shuiwang Ji:
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - 2022
- Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun:
Corruption-robust Offline Reinforcement Learning. AISTATS 2022: 5757-5773 - Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang
, Xiaojin Zhu:
Byzantine-Robust Online and Offline Distributed Reinforcement Learning. CoRR abs/2206.00165 (2022) - Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Xiaojin Zhu:
Provable Defense against Backdoor Policies in Reinforcement Learning. CoRR abs/2211.10530 (2022) - 2021
- Xiaomin Zhang
, Xiaojin Zhu, Po-Ling Loh:
Provable training set debugging for linear regression. Mach. Learn. 110(10): 2763-2834 (2021) - Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu:
The Sample Complexity of Teaching by Reinforcement on Q-Learning. AAAI 2021: 10939-10947 - Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang:
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. ACL/IJCNLP (1) 2021: 6394-6407 - Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun:
Robust Policy Gradient against Strong Data Corruption. ICML 2021: 12391-12401 - Zhen Wang
, Ji Zhang, Yizheng Chen, Chenhao Lu, Jerry Chun-Wei Lin
, Jing Xiao, Rage Uday Kiran:
Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data. PAKDD (1) 2021: 53-65 - Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun:
Robust Policy Gradient against Strong Data Corruption. CoRR abs/2102.05800 (2021) - Amin Rakhsha, Xuezhou Zhang, Xiaojin Zhu, Adish Singla:
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments. CoRR abs/2102.08492 (2021) - Jian Guan
, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang
:
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. CoRR abs/2105.08920 (2021) - 2020
- Fanbo Meng, Xitong Guo
, Zeyu Peng, Xiaofei Zhang
, Doug Vogel:
A 2020 perspective on "The routine use of mobile health services in the presence of health consciousness". Electron. Commer. Res. Appl. 40: 100931 (2020) - Luo Wang
, Xueming Qian
, Yuting Zhang, Jialie Shen
, Xiaochun Cao
:
Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-ranking. IEEE Trans. Cybern. 50(7): 3330-3342 (2020) - Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. AAAI 2020: 670-677 - Srinivas Danda, Ji Zhang, Xiaohui Tao, Jerry Chun-Wei Lin, Wenbin Zhang:
Context-aware Adaptive Outlier Detection in Trajectory Data. IEEE BigData 2020: 5655-5657 - Ping Ping, Xiaojuan Zhang, Xiaohui Yang, Yingchi Mao, Zeyu Gao:
Parallel Image Encryption Technology Based on Cellular Automaton. BigDataService 2020: 216-223 - Fanbo Meng, Xitong Guo, Xiaofei Zhang, Zeyu Peng, Kee-Hung Lai:
Examining the Role of Technology Anxiety and Health Anxiety on Elderly Users' Continuance Intention for Mobile Health Services Use. HICSS 2020: 1-10 - Xuezhou Zhang, Yuzhe Ma, Adish Singla
, Xiaojin Zhu:
Adaptive Reward-Poisoning Attacks against Reinforcement Learning. ICML 2020: 11225-11234 - Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. AACL/IJCNLP 2020: 122-132 - Xuezhou Zhang, Xiaojin Zhu, Laurent Lessard:
Online Data Poisoning Attacks. L4DC 2020: 201-210 - Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu:
Adaptive Reward-Poisoning Attacks against Reinforcement Learning. CoRR abs/2003.12613 (2020)
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