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ORCIDWenxuan Zhou
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2020 – today
- 2024
[j5]Kai Wang
, Xiang Lei, Wenxuan Zhou, Saige Cheng, Jing Li:
Historical Information-Aided Monitoring of Few-Sample Modes in Industrial Processes With Orthogonal Transferred Projection. IEEE Trans. Ind. Informatics 20(8): 10375-10386 (2024)- [c53]Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen:
Contrastive Instruction Tuning. ACL (Findings) 2024: 10288-10302 - [c52]Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen:
On-the-fly Denoising for Data Augmentation in Natural Language Understanding. EACL (Findings) 2024: 766-781 - [c51]Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye:
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning. ECAI 2024: 2806-2813 - [c50]Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu:
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets. EMNLP (Findings) 2024: 2306-2323 - [c49]Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen:
mDPO: Conditional Preference Optimization for Multimodal Large Language Models. EMNLP 2024: 8078-8088 - [c48]Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu:
WPO: Enhancing RLHF with Weighted Preference Optimization. EMNLP 2024: 8328-8340 - [c47]Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon:
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. ICLR 2024 - [c46]Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held:
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. ICRA 2024: 2845-2851 - [c45]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c44]Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang:
Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning. ICRA 2024: 9234-9241 - [c43]Tianqing Fang, Zhaowei Wang, Wenxuan Zhou, Hongming Zhang, Yangqiu Song, Muhao Chen:
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning. NAACL-HLT (Findings) 2024: 3846-3868 - [i48]Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen:
Contrastive Instruction Tuning. CoRR abs/2402.11138 (2024) - [i47]Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang:
Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning. CoRR abs/2403.12170 (2024) - [i46]James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen:
Offset Unlearning for Large Language Models. CoRR abs/2404.11045 (2024) - [i45]Kuan-Yen Chou, Santhosh Prabhu, Giri Subramanian, Wenxuan Zhou, Aanand Nayyar, Brighten Godfrey, Matthew Caesar:
Scaling Data Plane Verification with Intent-based Slicing. CoRR abs/2405.20982 (2024) - [i44]Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen:
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR abs/2406.09411 (2024) - [i43]Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu:
WPO: Enhancing RLHF with Weighted Preference Optimization. CoRR abs/2406.11827 (2024) - [i42]Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen:
mDPO: Conditional Preference Optimization for Multimodal Large Language Models. CoRR abs/2406.11839 (2024) - [i41]Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu:
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets. CoRR abs/2407.01853 (2024) - [i40]Bowen Jiang, Yilin Wu, Wenxuan Zhou, Chris Paxton, David Held:
HACMan++: Spatially-Grounded Motion Primitives for Manipulation. CoRR abs/2407.08585 (2024) - [i39]Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye:
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning. CoRR abs/2408.13787 (2024) - [i38]Tengyu Xu, Eryk Helenowski, Karthik Abinav Sankararaman, Di Jin, Kaiyan Peng, Eric Han, Shaoliang Nie, Chen Zhu, Hejia Zhang, Wenxuan Zhou, Zhouhao Zeng, Yun He, Karishma Mandyam, Arya Talabzadeh, Madian Khabsa, Gabriel Cohen, Yuandong Tian, Hao Ma, Sinong Wang, Han Fang:
The Perfect Blend: Redefining RLHF with Mixture of Judges. CoRR abs/2409.20370 (2024) - [i37]Yuxin Xiao, Shujian Zhang, Wenxuan Zhou, Marzyeh Ghassemi, Sanqiang Zhao:
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe. CoRR abs/2410.05248 (2024) - 2023
- [c42]Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen:
Robust Natural Language Understanding with Residual Attention Debiasing. ACL (Findings) 2023: 504-519 - [c41]Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen:
Multi-hop Evidence Retrieval for Cross-document Relation Extraction. ACL (Findings) 2023: 10336-10351 - [c40]Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon:
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. ACL (1) 2023: 13249-13263 - [c39]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoNLL 2023: 414-423 - [c38]Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held:
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. CoRL 2023: 241-265 - [c37]Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen:
Parameter-Efficient Tuning with Special Token Adaptation. EACL 2023: 865-872 - [c36]Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen:
GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding. EMNLP 2023: 5227-5240 - [c35]Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen:
Context-faithful Prompting for Large Language Models. EMNLP (Findings) 2023: 14544-14556 - [c34]Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen:
A Causal View of Entity Bias in (Large) Language Models. EMNLP (Findings) 2023: 15173-15184 - [c33]Vipul Harsh, Wenxuan Zhou, Sachin Ashok, Radhika Niranjan Mysore, Brighten Godfrey, Sujata Banerjee:
Murphy: Performance Diagnosis of Distributed Cloud Applications. SIGCOMM 2023: 438-451 - [i36]Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen:
Context-faithful Prompting for Large Language Models. CoRR abs/2303.11315 (2023) - [i35]Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held:
Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. CoRR abs/2305.03942 (2023) - [i34]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoRR abs/2305.13551 (2023) - [i33]Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen:
A Causal View of Entity Bias in (Large) Language Models. CoRR abs/2305.14695 (2023) - [i32]Tianqing Fang, Zhaowei Wang, Wenxuan Zhou, Hongming Zhang, Yangqiu Song, Muhao Chen:
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning. CoRR abs/2305.14970 (2023) - [i31]Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen:
Robust Natural Language Understanding with Residual Attention Debiasing. CoRR abs/2305.17627 (2023) - [i30]Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon:
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. CoRR abs/2308.03279 (2023) - [i29]Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held:
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. CoRR abs/2310.06903 (2023) - [i28]Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen:
GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding. CoRR abs/2310.14478 (2023) - 2022
- [j4]Kai Wang, Wenxuan Zhou, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang:
New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer. Knowl. Based Syst. 248: 108851 (2022) - [c32]Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen:
Prix-LM: Pretraining for Multilingual Knowledge Base Construction. ACL (1) 2022: 5412-5424 - [c31]Kai Wang, Wenxuan Zhou, Chenliang Liu, Xiaofeng Yuan, Yalin Wang:
A multi-source transfer learning method for new mode monitoring in industrial processes. CoDIT 2022: 124-129 - [c30]Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja:
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data. CoLLAs 2022: 294-309 - [c29]Wenxuan Zhou, David Held:
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. CoRL 2022: 150-160 - [c28]Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen:
Sharpness-Aware Minimization with Dynamic Reweighting. EMNLP (Findings) 2022: 5686-5699 - [c27]Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen:
Summarization as Indirect Supervision for Relation Extraction. EMNLP (Findings) 2022: 6575-6594 - [c26]Wenxuan Zhou, Muhao Chen:
An Improved Baseline for Sentence-level Relation Extraction. AACL/IJCNLP (2) 2022: 161-168 - [c25]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. NAACL-HLT (Findings) 2022: 1698-1708 - [c24]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL-HLT 2022: 3071-3081 - [c23]Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen:
Answer Consolidation: Formulation and Benchmarking. NAACL-HLT 2022: 4314-4325 - [c22]Wenxuan Zhou, Zhihao Qu, Yanchao Zhao, Bin Tang, Baoliu Ye:
An efficient split learning framework for recurrent neural network in mobile edge environment. RACS 2022: 131-138 - [i27]Wenxuan Zhou, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess:
Offline Distillation for Robot Lifelong Learning with Imbalanced Experience. CoRR abs/2204.05893 (2022) - [i26]Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen:
Answer Consolidation: Formulation and Benchmarking. CoRR abs/2205.00042 (2022) - [i25]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR abs/2205.03784 (2022) - [i24]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. CoRR abs/2205.03786 (2022) - [i23]Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen:
Summarization as Indirect Supervision for Relation Extraction. CoRR abs/2205.09837 (2022) - [i22]Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen:
Parameter-Efficient Tuning with Special Token Adaptation. CoRR abs/2210.04382 (2022) - [i21]Wenxuan Zhou, David Held:
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. CoRR abs/2211.01500 (2022) - [i20]Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen:
On-the-fly Denoising for Data Augmentation in Natural Language Understanding. CoRR abs/2212.10558 (2022) - [i19]Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen:
Multi-hop Evidence Retrieval for Cross-document Relation Extraction. CoRR abs/2212.10786 (2022) - [i18]Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon:
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. CoRR abs/2212.10823 (2022) - 2021
- [c21]Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang:
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. AAAI 2021: 14612-14620 - [c20]Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren:
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. AAAI 2021: 14621-14629 - [c19]Harshit Sikchi, Wenxuan Zhou, David Held:
Learning Off-Policy with Online Planning. CoRL 2021: 1622-1633 - [c18]Wenxuan Zhou, Fangyu Liu, Muhao Chen:
Contrastive Out-of-Distribution Detection for Pretrained Transformers. EMNLP (1) 2021: 1100-1111 - [c17]Wenxuan Zhou, Muhao Chen:
Learning from Noisy Labels for Entity-Centric Information Extraction. EMNLP (1) 2021: 5381-5392 - [i17]Wenxuan Zhou, Muhao Chen:
An Improved Baseline for Sentence-level Relation Extraction. CoRR abs/2102.01373 (2021) - [i16]Harshit Sikchi, Wenxuan Zhou, David Held:
Lyapunov Barrier Policy Optimization. CoRR abs/2103.09230 (2021) - [i15]Wenxuan Zhou, Muhao Chen:
Learning from Noisy Labels for Entity-Centric Information Extraction. CoRR abs/2104.08656 (2021) - [i14]Wenxuan Zhou, Muhao Chen:
Contrastive Out-of-Distribution Detection for Pretrained Transformers. CoRR abs/2104.08812 (2021) - [i13]Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen:
Prix-LM: Pretraining for Multilingual Knowledge Base Construction. CoRR abs/2110.08443 (2021) - [i12]Wenxuan Zhou, Muhao Chen:
δ-SAM: Sharpness-Aware Minimization with Dynamic Reweighting. CoRR abs/2112.08772 (2021) - 2020
- [j3]Jingli Zhang, Yu Hong, Wenxuan Zhou, Jianmin Yao, Min Zhang:
Interactive learning for joint event and relation extraction. Int. J. Mach. Learn. Cybern. 11(2): 449-461 (2020) - [c16]Wenxuan Zhou, Sujay Bajracharya, David Held:
PLAS: Latent Action Space for Offline Reinforcement Learning. CoRL 2020: 1719-1735 - [c15]Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren:
Learning from Explanations with Neural Execution Tree. ICLR 2020 - [c14]Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren:
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. WWW 2020: 2166-2176 - [i11]Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren:
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. CoRR abs/2005.02178 (2020) - [i10]Ziqian Zeng, Wenxuan Zhou, Xin Liu, Zizheng Lin, Yangqiu Song, Michael David Kuo, Wan Hang Keith Chiu:
A Variational Approach to Unsupervised Sentiment Analysis. CoRR abs/2008.09394 (2020) - [i9]Harshit Sikchi, Wenxuan Zhou, David Held:
Learning Off-Policy with Online Planning. CoRR abs/2008.10066 (2020) - [i8]Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang:
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. CoRR abs/2010.11304 (2020) - [i7]Wenxuan Zhou, Sujay Bajracharya, David Held:
PLAS: Latent Action Space for Offline Reinforcement Learning. CoRR abs/2011.07213 (2020)
2010 – 2019
- 2019
- [c13]Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta:
Environment Probing Interaction Policies. ICLR (Poster) 2019 - [c12]Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song:
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification. NAACL-HLT (1) 2019: 386-396 - [i6]Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song:
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification. CoRR abs/1904.05055 (2019) - [i5]Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta:
Environment Probing Interaction Policies. CoRR abs/1907.11740 (2019) - [i4]Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren:
Neural Rule Grounding for Low-Resource Relation Extraction. CoRR abs/1909.02177 (2019) - [i3]Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren:
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. CoRR abs/1911.01352 (2019) - 2018
- [c11]Yu Hong, Wenxuan Zhou, Jingli Zhang, Qiaoming Zhu, Guodong Zhou:
Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection. ACL (1) 2018: 515-526 - [c10]Jingli Zhang, Wenxuan Zhou, Yu Hong, Jianmin Yao, Min Zhang:
Using Entity Relation to Improve Event Detection via Attention Mechanism. NLPCC (1) 2018: 171-183 - [c9]Wenxuan Zhou, Jason Croft, Bingzhe Liu, Elaine Ang, Matthew Caesar:
Automatically Correcting Networks with NEAt. NSDI 2018: 595-608 - 2017
- [b1]Wenxuan Zhou:
Guided synthesis of network behavior. University of Illinois Urbana-Champaign, USA, 2017 - [j2]Amir Houmansadr, Wenxuan Zhou, Matthew Caesar, Nikita Borisov:
SWEET: Serving the Web by Exploiting Email Tunnels. IEEE/ACM Trans. Netw. 25(3): 1517-1527 (2017) - [c8]Wenxuan Zhou, Jason Croft, Bingzhe Liu, Matthew Caesar:
NEAt: Network Error Auto-Correct. SOSR 2017: 157-163 - 2016
- [c7]Yu Hong, Liang Yao, Mengyi Liu, Tongtao Zhang, Wenxuan Zhou, Jianmin Yao, Heng Ji:
Image-Image Search for Comparable Corpora Construction. HyTra@COLING 2016: 16-25 - [i2]Yu Hong, Yingying Qiu, Zengzhuang Xu, Wenxuan Zhou, Jian Tang, Xiaobin Wang, Liang Yao, Jianmin Yao:
SoochowNLP Team System Description for 2016 KBP Slot Filling and Nugget Detection Tasks. TAC 2016 - 2015
- [c6]Wenxuan Zhou, Dong (Kevin) Jin, Jason Croft, Matthew Caesar, Philip Brighten Godfrey:
Enforcing Customizable Consistency Properties in Software-Defined Networks. NSDI 2015: 73-85 - 2013
- [c5]Ahmed Khurshid, Xuan Zou, Wenxuan Zhou, Matthew Caesar, Philip Brighten Godfrey:
VeriFlow: Verifying Network-Wide Invariants in Real Time. NSDI 2013: 15-27 - [c4]Stevens Le Blond, David R. Choffnes, Wenxuan Zhou, Peter Druschel, Hitesh Ballani, Paul Francis:
Towards efficient traffic-analysis resistant anonymity networks. SIGCOMM 2013: 303-314 - 2012
- [j1]Ahmed Khurshid, Wenxuan Zhou, Matthew Caesar, Brighten Godfrey:
Veriflow: verifying network-wide invariants in real time. Comput. Commun. Rev. 42(4): 467-472 (2012) - [c3]Ahmed Khurshid, Wenxuan Zhou, Matthew Caesar, Brighten Godfrey:
VeriFlow: verifying network-wide invariants in real time. HotSDN@SIGCOMM 2012: 49-54 - [i1]Amir Houmansadr, Wenxuan Zhou, Matthew Caesar, Nikita Borisov:
SWEET: Serving the Web by Exploiting Email Tunnels. CoRR abs/1211.3191 (2012) - 2011
- [c2]Wenxuan Zhou, Qingxi Li, Matthew Caesar, Brighten Godfrey:
ASAP: a low-latency transport layer. CoNEXT 2011: 20 - [c1]Qingxi Li, Wenxuan Zhou, Matthew Caesar, Brighten Godfrey:
ASAP: a low-latency transport layer. SIGCOMM 2011: 390-391
Coauthor Index
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