Wenxuan Zhou

According to our database, Wenxuan Zhou authored at least 76 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Historical Information-Aided Monitoring of Few-Sample Modes in Industrial Processes With Orthogonal Transferred Projection.

Kai Wang, Xiang Lei, Wenxuan Zhou, Saige Cheng, Jing Li

IEEE Trans. Ind. Informatics, August, 2024

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. Rosé, Daniel Fried, Hejia Zhang

CoRR, 2024

Visual Manipulation with Legs.

Xialin He, Chengjing Yuan, Wenxuan Zhou, Ruihan Yang, David Held, Xiaolong Wang

CoRR, 2024

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

CoRR, 2024

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe.

Yuxin Xiao, Shujian Zhang, Wenxuan Zhou, Marzyeh Ghassemi, Sanqiang Zhao

CoRR, 2024

The Perfect Blend: Redefining RLHF with Mixture of Judges.

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

CoRR, 2024

HACMan++: Spatially-Grounded Motion Primitives for Manipulation.

Bowen Jiang, Yilin Wu, Wenxuan Zhou, Chris Paxton, David Held

CoRR, 2024

mDPO: Conditional Preference Optimization for Multimodal Large Language Models.

Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, 2024

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

CoRR, 2024

Scaling Data Plane Verification with Intent-based Slicing.

Kuan-Yen Chou, Santhosh Prabhu, Giri Subramanian, Wenxuan Zhou, Aanand Nayyar, Brighten Godfrey, Matthew Caesar

CoRR, 2024

Offset Unlearning for Large Language Models.

James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization.

Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning.

Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.

Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

WPO: Enhancing RLHF with Weighted Preference Optimization.

Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

mDPO: Conditional Preference Optimization for Multimodal Large Language Models.

Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning.

Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

On-the-fly Denoising for Data Augmentation in Natural Language Understanding.

Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Contrastive Instruction Tuning.

Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation.

Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held

CoRR, 2023

Murphy: Performance Diagnosis of Distributed Cloud Applications.

Vipul Harsh, Wenxuan Zhou, Sachin Ashok, Radhika Niranjan Mysore, Brighten Godfrey, Sujata Banerjee

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Context-faithful Prompting for Large Language Models.

Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Causal View of Entity Bias in (Large) Language Models.

Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding.

Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Parameter-Efficient Tuning with Special Token Adaptation.

Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation.

Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held

Proceedings of the Conference on Robot Learning, 2023

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

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Continual Contrastive Finetuning Improves Low-Resource Relation Extraction.

Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Robust Natural Language Understanding with Residual Attention Debiasing.

Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multi-hop Evidence Retrieval for Cross-document Relation Extraction.

Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer.

Kai Wang, Wenxuan Zhou, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang

Knowl. Based Syst., 2022

Offline Distillation for Robot Lifelong Learning with Imbalanced Experience.

Wenxuan Zhou, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess

CoRR, 2022

An efficient split learning framework for recurrent neural network in mobile edge environment.

Wenxuan Zhou, Zhihao Qu, Yanchao Zhao, Bin Tang, Baoliu Ye

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022

Answer Consolidation: Formulation and Benchmarking.

Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction.

Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

An Improved Baseline for Sentence-level Relation Extraction.

Wenxuan Zhou, Muhao Chen

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Sharpness-Aware Minimization with Dynamic Reweighting.

Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Summarization as Indirect Supervision for Relation Extraction.

Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity.

Wenxuan Zhou, David Held

Proceedings of the Conference on Robot Learning, 2022

Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data.

Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja

Proceedings of the Conference on Lifelong Learning Agents, 2022

A multi-source transfer learning method for new mode monitoring in industrial processes.

Kai Wang, Wenxuan Zhou, Chenliang Liu, Xiaofeng Yuan, Yalin Wang

Proceedings of the 8th International Conference on Control, 2022

Prix-LM: Pretraining for Multilingual Knowledge Base Construction.

Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

δ-SAM: Sharpness-Aware Minimization with Dynamic Reweighting.

Wenxuan Zhou, Muhao Chen

CoRR, 2021

Contrastive Out-of-Distribution Detection for Pretrained Transformers.

Wenxuan Zhou, Muhao Chen

CoRR, 2021

Lyapunov Barrier Policy Optimization.

Harshit Sikchi, Wenxuan Zhou, David Held

CoRR, 2021

Learning from Noisy Labels for Entity-Centric Information Extraction.

Wenxuan Zhou, Muhao Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Contrastive Out-of-Distribution Detection for Pretrained Transformers.

Wenxuan Zhou, Fangyu Liu, Muhao Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning Off-Policy with Online Planning.

Harshit Sikchi, Wenxuan Zhou, David Held

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization.

Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling.

Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Interactive learning for joint event and relation extraction.

Jingli Zhang, Yu Hong, Wenxuan Zhou, Jianmin Yao, Min Zhang

Int. J. Mach. Learn. Cybern., 2020

A Variational Approach to Unsupervised Sentiment Analysis.

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Zizheng Lin, Yangqiu Song, Michael David Kuo, Wan Hang Keith Chiu

CoRR, 2020

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

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning from Explanations with Neural Execution Tree.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

Proceedings of the 8th International Conference on Learning Representations, 2020

PLAS: Latent Action Space for Offline Reinforcement Learning.

Wenxuan Zhou, Sujay Bajracharya, David Held

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

CoRR, 2019

Neural Rule Grounding for Low-Resource Relation Extraction.

Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren

CoRR, 2019

A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification.

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Environment Probing Interaction Policies.

Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Automatically Correcting Networks with NEAt.

Wenxuan Zhou, Jason Croft, Bingzhe Liu, Elaine Ang, Matthew Caesar

Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

Using Entity Relation to Improve Event Detection via Attention Mechanism.

Jingli Zhang, Wenxuan Zhou, Yu Hong, Jianmin Yao, Min Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection.

Yu Hong, Wenxuan Zhou, Jingli Zhang, Qiaoming Zhu, Guodong Zhou

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Guided synthesis of network behavior

Wenxuan Zhou

PhD thesis, 2017

SWEET: Serving the Web by Exploiting Email Tunnels.

Amir Houmansadr, Wenxuan Zhou, Matthew Caesar, Nikita Borisov

IEEE/ACM Trans. Netw., 2017

NEAt: Network Error Auto-Correct.

Wenxuan Zhou, Jason Croft, Bingzhe Liu, Matthew Caesar

Proceedings of the Symposium on SDN Research, 2017

2016

SoochowNLP Team System Description for 2016 KBP Slot Filling and Nugget Detection Tasks.

Yu Hong, Yingying Qiu, Zengzhuang Xu, Wenxuan Zhou, Jian Tang, Xiaobin Wang, Liang Yao, Jianmin Yao

Proceedings of the 2016 Text Analysis Conference, 2016

Image-Image Search for Comparable Corpora Construction.

Yu Hong, Liang Yao, Mengyi Liu, Tongtao Zhang, Wenxuan Zhou, Jianmin Yao, Heng Ji

Proceedings of the Sixth Workshop on Hybrid Approaches to Translation, 2016

2015

Enforcing Customizable Consistency Properties in Software-Defined Networks.

Wenxuan Zhou, Dong (Kevin) Jin, Jason Croft, Matthew Caesar, Philip Brighten Godfrey

Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation, 2015

2013

Towards efficient traffic-analysis resistant anonymity networks.

Stevens Le Blond, David R. Choffnes, Wenxuan Zhou, Peter Druschel, Hitesh Ballani, Paul Francis

Proceedings of the ACM SIGCOMM 2013 Conference, 2013

VeriFlow: Verifying Network-Wide Invariants in Real Time.

Ahmed Khurshid, Xuan Zou, Wenxuan Zhou, Matthew Caesar, Philip Brighten Godfrey

Proceedings of the 10th USENIX Symposium on Networked Systems Design and Implementation, 2013

2012

Veriflow: verifying network-wide invariants in real time.

Ahmed Khurshid, Wenxuan Zhou, Matthew Caesar, Brighten Godfrey

Comput. Commun. Rev., 2012

2011

ASAP: a low-latency transport layer.

Wenxuan Zhou, Qingxi Li, Matthew Caesar, Brighten Godfrey

Proceedings of the 2011 Conference on Emerging Networking Experiments and Technologies, 2011