Wenxuan Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
67
Venues
20
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
67 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MetaScale: Test-Time Scaling with Evolving Meta-Thoughts. | Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2026 | ACL | RedCoder: Automated Multi-Turn Red Teaming for Code LLMs. | Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, Dongwon Jung, Hadi Askari, Wenxuan Zhou, Zhe Zhao, Muhao Chen |
| 2026 | ACL | Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting. | Cheng Wang, Qin Liu, Wenxuan Zhou, Muhao Chen |
| 2026 | ACL | False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize. | Cheng Wang, Zeming Wei, Qin Liu, Wenxuan Zhou, Muhao Chen |
| 2026 | ACL | SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe. | Yuxin Xiao, Shujian Zhang, Marzyeh Ghassemi, Wenxuan Zhou |
| 2026 | ICDCS | Quantization-Aware Incentive Mechanism for Communication-Efficient Federated Learning. | Hengrui Cui, Zhihao Qu, Baoliu Ye, Tao Zhuang, Bin Tang, Wenxuan Zhou |
| 2025 | ACL | FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings. | Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp |
| 2025 | ACL | Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation. | Chengwei Qin, Wenxuan Zhou, Karthik Abinav Sankararaman, Nanshu Wang, Tengyu Xu, Alexander Radovic, Eryk Helenowski, Arya Talebzadeh, Aditya Tayade, Sinong Wang, Shafiq Joty, Han Fang, Hao Ma |
| 2025 | ACL | ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails. | Xiaofei Wen, Wenxuan Zhou, Wenjie Jacky Mo, Muhao Chen |
| 2025 | ACL | Improving Model Factuality with Fine-grained Critique-based Evaluator. | Yiqing Xie, Wenxuan Zhou, Pradyot Prakash, Di Jin, Yuning Mao, Quintin Fettes, Arya Talebzadeh, Sinong Wang, Han Fang, Carolyn P. Ros, Daniel Fried, Hejia Zhang |
| 2025 | ACL | T-REG: Preference Optimization with Token-Level Reward Regularization. | Wenxuan Zhou, Shujian Zhang, Lingxiao Zhao, Tao Meng |
| 2025 | EMNLP | Code Execution as Grounded Supervision for LLM Reasoning. | Dongwon Jung, Wenxuan Zhou, Muhao Chen |
| 2025 | ICLR | MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. | 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 |
| 2025 | ICLR | Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy. | Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou |
| 2025 | ICML | Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization. | Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang |
| 2025 | NPC | Federated Learning via TEE-Based Dual-Branch Architecture and Interaction-Aware Pruning. | Wenxuan Zhou, Zhenyu Zhu, Mingyang Xie, Zhihao Qu |
| 2024 | ACL | Contrastive Instruction Tuning. | Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen |
| 2024 | CoRL | Visual Manipulation with Legs. | Xialin He, Chengjing Yuan, Wenxuan Zhou, Ruihan Yang, David Held, Xiaolong Wang |
| 2024 | EACL | On-the-fly Denoising for Data Augmentation in Natural Language Understanding. | Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen |
| 2024 | ECAI | Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning. | Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye |
| 2024 | EMNLP | Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets. | Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu |
| 2024 | EMNLP | mDPO: Conditional Preference Optimization for Multimodal Large Language Models. | Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2024 | EMNLP | WPO: Enhancing RLHF with Weighted Preference Optimization. | Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu |
| 2024 | ICLR | UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. | Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | 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 E. 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 Schlkopf, 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 Bchler, 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 T. 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, Joo Silvrio, 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 Snderhauf, 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 Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, 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 |
| 2024 | ICRA | Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning. | Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang |
| 2024 | ICRA | Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. | Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held |
| 2024 | NAACL | Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning. | Tianqing Fang, Zhaowei Wang, Wenxuan Zhou, Hongming Zhang, Yangqiu Song, Muhao Chen |
| 2024 | NPC | Gradient-Aware Incremental Network Quantization. | Jiao Meng, Zhihao Qu, Wenxuan Zhou, Shihong Hu, Baoliu Ye |
| 2024 | SMC | Enhancing on-Device Inference Security Through TEE-Integrated Dual-Network Architecture. | Zhenyu Zhu, Zhihao Qu, Ninghui Jia, Wenxuan Zhou, Baoliu Ye |
| 2023 | ACL | Multi-hop Evidence Retrieval for Cross-document Relation Extraction. | Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen |
| 2023 | ACL | Robust Natural Language Understanding with Residual Attention Debiasing. | Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen |
| 2023 | ACL | Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. | Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon |
| 2023 | CoNLL | How Fragile is Relation Extraction under Entity Replacements? | Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen |
| 2023 | CoRL | HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. | Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held |
| 2023 | EACL | Parameter-Efficient Tuning with Special Token Adaptation. | Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen |
| 2023 | EMNLP | GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding. | Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen |
| 2023 | EMNLP | A Causal View of Entity Bias in (Large) Language Models. | Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen |
| 2023 | EMNLP | Context-faithful Prompting for Large Language Models. | Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2023 | SIGCOMM | Murphy: Performance Diagnosis of Distributed Cloud Applications. | Vipul Harsh, Wenxuan Zhou, Sachin Ashok, Radhika Niranjan Mysore, Brighten Godfrey, Sujata Banerjee |
| 2022 | ACL | Prix-LM: Pretraining for Multilingual Knowledge Base Construction. | Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen |
| 2022 | CoDIT | A multi-source transfer learning method for new mode monitoring in industrial processes. | Kai Wang, Wenxuan Zhou, Chenliang Liu, Xiaofeng Yuan, Yalin Wang |
| 2022 | CoRL | Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. | Wenxuan Zhou, David Held |
| 2022 | EMNLP | Summarization as Indirect Supervision for Relation Extraction. | Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen |
| 2022 | EMNLP | Sharpness-Aware Minimization with Dynamic Reweighting. | Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen |
| 2022 | IJCNLP | An Improved Baseline for Sentence-level Relation Extraction. | Wenxuan Zhou, Muhao Chen |
| 2022 | NAACL | GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. | Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi |
| 2022 | NAACL | Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. | Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi |
| 2022 | NAACL | Answer Consolidation: Formulation and Benchmarking. | Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen |
| 2021 | AAAI | Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. | Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang |
| 2021 | AAAI | IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. | Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren |
| 2021 | CoRL | Learning Off-Policy with Online Planning. | Harshit Sikchi, Wenxuan Zhou, David Held |
| 2021 | EMNLP | Contrastive Out-of-Distribution Detection for Pretrained Transformers. | Wenxuan Zhou, Fangyu Liu, Muhao Chen |
| 2021 | EMNLP | Learning from Noisy Labels for Entity-Centric Information Extraction. | Wenxuan Zhou, Muhao Chen |
| 2020 | CoRL | PLAS: Latent Action Space for Offline Reinforcement Learning. | Wenxuan Zhou, Sujay Bajracharya, David Held |
| 2020 | ICLR | Learning from Explanations with Neural Execution Tree. | Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren |
| 2020 | WWW | NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. | Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren |
| 2019 | ICLR | Environment Probing Interaction Policies. | Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta |
| 2019 | NAACL | A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification. | Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song |
| 2018 | ACL | Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection. | Yu Hong, Wenxuan Zhou, Jingli Zhang, Qiaoming Zhu, Guodong Zhou |
| 2018 | NSDI | Automatically Correcting Networks with NEAt. | Wenxuan Zhou, Jason Croft, Bingzhe Liu, Elaine Ang, Matthew Caesar |
| 2015 | NSDI | Enforcing Customizable Consistency Properties in Software-Defined Networks. | Wenxuan Zhou, Dong (Kevin) Jin, Jason Croft, Matthew Caesar, Philip Brighten Godfrey |
| 2013 | NSDI | VeriFlow: Verifying Network-Wide Invariants in Real Time. | Ahmed Khurshid, Xuan Zou, Wenxuan Zhou, Matthew Caesar, Philip Brighten Godfrey |
| 2013 | SIGCOMM | Towards efficient traffic-analysis resistant anonymity networks. | Stevens Le Blond, David R. Choffnes, Wenxuan Zhou, Peter Druschel, Hitesh Ballani, Paul Francis |
| 2012 | SIGCOMM | VeriFlow: verifying network-wide invariants in real time. | Ahmed Khurshid, Wenxuan Zhou, Matthew Caesar, Brighten Godfrey |
| 2011 | CoNEXT | ASAP: a low-latency transport layer. | Wenxuan Zhou, Qingxi Li, Matthew Caesar, Brighten Godfrey |
| 2011 | SIGCOMM | ASAP: a low-latency transport layer. | Qingxi Li, Wenxuan Zhou, Matthew Caesar, Brighten Godfrey |