Zhang, Rui

133 publications

AAAI 2025 3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering Qingyuan Zhou, Weidong Yang, Ben Fei, Jingyi Xu, Rui Zhang, Keyi Liu, Yeqi Luo, Ying He

IJCAI 2025 Automated Superscalar Processor Design by Learning Data Dependencies Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen

CVPR 2025 BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis Weiguang Zhao, Rui Zhang, Qiufeng Wang, Guangliang Cheng, Kaizhu Huang

NeurIPS 2025 ChatbotID: Identifying Chatbots with Granger Causality Test Xiaoquan Yi, Haozhao Wang, Yining Qi, Wenchao Xu, Rui Zhang, Yuhua Li, Ruixuan Li

AAAI 2025 Clean-Label Graph Backdoor Attack in the Node Classification Task Hui Xia, Xiangwei Zhao, Rui Zhang, Shuo Xu, Luming Wang

TMLR 2025 Combining Machine Learning Defenses Without Conflicts Vasisht Duddu, Rui Zhang, N. Asokan

AAAI 2025 EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang

ICLR 2025 GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang

ICCV 2025 Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning Junjie Shan, Ziqi Zhao, Jialin Lu, Rui Zhang, Siu Ming Yiu, Ka-Ho Chow

ICCV 2025 HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding? Yusen Zhang, Wenliang Zheng, Aashrith Madasu, Peng Shi, Ryo Kamoi, Hao Zhou, Zhuoyang Zou, Shu Zhao, Sarkar Snigdha Sarathi Das, Vipul Gupta, Xiaoxin Lu, Nan Zhang, Ranran Haoran Zhang, Avitej Iyer, Renze Lou, Wenpeng Yin, Rui Zhang

CVPR 2025 Image over Text: Transforming Formula Recognition Evaluation with Character Detection Matching Bin Wang, Fan Wu, Linke Ouyang, Zhuangcheng Gu, Rui Zhang, Renqiu Xia, Botian Shi, Bo Zhang, Conghui He

AAAI 2025 InverseCoder: Self-Improving Instruction-Tuned Code LLMs with Inverse-Instruct Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Yewen Pu, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Dawei Yin, Xing Hu, Yunji Chen

ICML 2025 Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition Shuai Yuan, Hongwei Li, Rui Zhang, Hangcheng Cao, Wenbo Jiang, Tao Ni, Wenshu Fan, Qingchuan Zhao, Guowen Xu

CVPR 2025 OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations Linke Ouyang, Yuan Qu, Hongbin Zhou, Jiawei Zhu, Rui Zhang, Qunshu Lin, Bin Wang, Zhiyuan Zhao, Man Jiang, Xiaomeng Zhao, Jin Shi, Fan Wu, Pei Chu, Minghao Liu, Zhenxiang Li, Chao Xu, Bo Zhang, Botian Shi, Zhongying Tu, Conghui He

ICML 2025 On the Vulnerability of Applying Retrieval-Augmented Generation Within Knowledge-Intensive Application Domains Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding

IJCAI 2025 PeSANet: Physics-Encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems Han Wan, Rui Zhang, Qi Wang, Yang Liu, Hao Sun

NeurIPS 2025 QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation Yaoyu Zhu, Di Huang, Hanqi Lyu, Xiaoyun Zhang, Chongxiao Li, Wenxuan Shi, Yutong Wu, Jianan Mu, Jinghua Wang, Yang Zhao, Pengwei Jin, Shuyao Cheng, Shengwen Liang, Xishan Zhang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen

NeurIPS 2025 QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation Changxin Ke, Rui Zhang, Shuo Wang, Li Ding, Guangli Li, Yuanbo Wen, Shuoming Zhang, Ruiyuan Xu, Jin Qin, Jiaming Guo, Chenxi Wang, Ling Li, Qi Guo, Yunji Chen

NeurIPS 2025 QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code Hainan Fang, Yuanbo Wen, Jun Bi, Yihan Wang, Tonghui He, Yanlin Tang, Di Huang, Jiaming Guo, Rui Zhang, Qi Guo, Yunji Chen

NeurIPS 2025 QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation Yang Zhang, Rui Zhang, Jiaming Guo, Huang Lei, Di Huang, Yunpu Zhao, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Qi Guo, Yunji Chen

ICLR 2025 RFMamba: Frequency-Aware State Space Model for RF-Based Human-Centric Perception Rui Zhang, Ruixu Geng, Yadong Li, Ruiyuan Song, Hanqin Gong, Dongheng Zhang, Yang Hu, Yan Chen

NeurIPS 2025 Resource-Constrained Federated Continual Learning: What Does Matter? Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li

CVPR 2025 SEEN-DA: SEmantic ENtropy Guided Domain-Aware Attention for Domain Adaptive Object Detection Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Shaohui Peng, Yongwei Zhao, Chen Zhao, Yanjun Wu, Ling Li

ICLR 2025 SiReRAG: Indexing Similar and Related Information for Multihop Reasoning Nan Zhang, Prafulla Kumar Choubey, Alexander Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, Chien-Sheng Wu

ICML 2025 The Ripple Effect: On Unforeseen Complications of Backdoor Attacks Rui Zhang, Yun Shen, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Yuan Zhang, Guowen Xu, Yang Zhang

WACV 2025 Unsupervised Domain Adaptive Visual Question Answering in the Era of Multi-Modal Large Language Models Weixi Weng, Rui Zhang, Xiaojun Meng, Jieming Zhu, Qun Liu, Chun Yuan

AAAI 2025 Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks Against Large Language Models Jiaming He, Wenbo Jiang, Guanyu Hou, Wenshu Fan, Rui Zhang, Hongwei Li

ICML 2024 AutoOS: Make Your OS More Powerful by Exploiting Large Language Models Huilai Chen, Yuanbo Wen, Limin Cheng, Shouxu Kuang, Yumeng Liu, Weijia Li, Ling Li, Rui Zhang, Xinkai Song, Wei Li, Qi Guo, Yunji Chen

IJCAI 2024 Automated CPU Design by Learning from Input-Output Examples Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen

CVPR 2024 Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu

NeurIPS 2024 Chain of Agents: Large Language Models Collaborating on Long-Context Tasks Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arık

NeurIPS 2024 DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Ling Li, Yunji Chen

NeurIPS 2024 Deep Graph Neural Networks via Posteriori-Sampling-Based Node-Adaptative Residual Module Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li

IJCAI 2024 Denoising-Aware Contrastive Learning for Noisy Time Series Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung

AAAI 2024 Emergent Communication for Numerical Concepts Generalization Enshuai Zhou, Yifan Hao, Rui Zhang, Yuxuan Guo, Zidong Du, Xishan Zhang, Xinkai Song, Chao Wang, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

NeurIPS 2024 FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models Jiachang Liu, Rui Zhang, Cynthia Rudin

AAAI 2024 Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

AAAI 2024 MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities Yangning Li, Tingwei Lu, Hai-Tao Zheng, Yinghui Li, Shulin Huang, Tianyu Yu, Jun Yuan, Rui Zhang

ICLR 2024 MT-Ranker: Reference-Free Machine Translation Evaluation by Inter-System Ranking Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin

AAAI 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo, Shaohui Peng, Siming Lan, Husheng Han, Yansong Pan, Kaizhao Yuan, Pengwei Jin, Ruizhi Chen, Yunji Chen, Ling Li

AISTATS 2024 Optimal Sparse Survival Trees Rui Zhang, Rui Xin, Margo Seltzer, Cynthia Rudin

ICLRW 2024 Posterior Probability-Based Label Recovery Attack in Federated Learning Rui Zhang, Song Guo, Ping Li

AAAI 2024 Pre-Trained Online Contrastive Learning for Insurance Fraud Detection Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

ICML 2024 Prompt-Based Visual Alignment for Zero-Shot Policy Transfer Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, Qicheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

ECCV 2024 RecurrentBEV: A Long-Term Temporal Fusion Framework for Multi-View 3D Detection Ming Chang, Xishan Zhang, Rui Zhang, Zhipeng Zhao, Guanhua He, Shaoli Liu

CVPR 2024 TCP:Textual-Based Class-Aware Prompt Tuning for Visual-Language Model Hantao Yao, Rui Zhang, Changsheng Xu

ICLRW 2024 Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

NeurIPS 2023 ANPL: Towards Natural Programming with Interactive Decomposition Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen

AAAI 2023 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li

ICLR 2023 BALTO: Fast Tensor Program Optimization with Diversity-Based Active Learning Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen

TMLR 2023 Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Johan Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew Kyle Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cesar Ferri, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Christopher Waites, Christian Voigt, Christopher D Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, C. Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germàn Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Xinyue Wang, Gonzalo Jaimovitch-Lopez, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Francis Anthony Shevlin, Hinrich Schuetze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh Dhole, Kevin Gimpel, Kevin Omondi, Kory Wallace Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros-Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje Ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ramirez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael Andrew Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan Andrew Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter W Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan Le Bras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Russ Salakhutdinov, Ryan Andrew Chi, Seungjae Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel Stern Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima Shammie Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven Piantadosi, Stuart Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsunori Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Venkatesh Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Sophie Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu

IJCAI 2023 CSGCL: Community-Strength-Enhanced Graph Contrastive Learning Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang

AAAI 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen

NeurIPS 2023 Context Shift Reduction for Offline Meta-Reinforcement Learning Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen

NeurIPS 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen

NeurIPS 2023 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen

ICLR 2023 Dirichlet-Based Uncertainty Calibration for Active Domain Adaptation Mixue Xie, Shuang Li, Rui Zhang, Chi Harold Liu

NeurIPS 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen

NeurIPS 2023 Emergent Communication for Rules Reasoning Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

AAAI 2023 Fair-CDA: Continuous and Directional Augmentation for Group Fairness Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li

IJCAI 2023 FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract) Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu

IJCAI 2023 Fighting Against Organized Fraudsters Using Risk Diffusion-Based Parallel Graph Neural Network Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang

IJCAI 2023 JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang

NeurIPS 2023 Learning Domain-Aware Detection Head with Prompt Tuning Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen

AAAI 2023 MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract) Xuan Liu, Siqi Cai, Lin Li, Rui Zhang, Song Guo

TMLR 2023 On the Robustness of Dataset Inference Sebastian Szyller, Rui Zhang, Jian Liu, N Asokan

ICML 2023 Online Prototype Alignment for Few-Shot Policy Transfer Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen

AAAI 2023 Online Symbolic Regression with Informative Query Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen

AAAI 2023 Optimal Sparse Regression Trees Rui Zhang, Rui Xin, Margo I. Seltzer, Cynthia Rudin

NeurIPS 2023 REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen

MLJ 2023 Robust Generative Adversarial Network Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu

ICLR 2023 Selective Annotation Makes Language Models Better Few-Shot Learners Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

ICCV 2023 Towards Better Robustness Against Common Corruptions for Unsupervised Domain Adaptation Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma

CVPR 2023 Visual-Language Prompt Tuning with Knowledge-Guided Context Optimization Hantao Yao, Rui Zhang, Changsheng Xu

IJCAI 2022 A Survey on Gradient Inversion: Attacks, Defenses and Future Directions Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao

NeurIPS 2022 Causality-Driven Hierarchical Structure Discovery for Reinforcement Learning Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

CVPR 2022 ISNet: Shape Matters for Infrared Small Target Detection Mingjin Zhang, Rui Zhang, Yuxiang Yang, Haichen Bai, Jing Zhang, Jie Guo

ECML-PKDD 2022 Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen

IJCAI 2022 Multi-Scale Spatial Representation Learning via Recursive Hermite Polynomial Networks Yuanbo Lin Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangchen Liu, Rui Zhang

CVPRW 2022 Natural Language-Based Vehicle Retrieval with Explicit Cross-Modal Representation Learning Bocheng Xu, Yihua Xiong, Rui Zhang, Yanyi Feng, Haifeng Wu

ICLR 2022 Neural Program Synthesis with Query Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen

IJCAI 2022 Neural Re-Ranking in Multi-Stage Recommender Systems: A Review Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang

NeurIPS 2022 Object-Category Aware Reinforcement Learning Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen

IJCAI 2022 On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou

ECCV 2022 Outpainting by Queries Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang

AAAI 2022 Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He

AAAI 2022 Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime Rui Zhang, Shihua Zhang

ECCV 2022 SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement Canqian Yang, Meiguang Jin, Yi Xu, Rui Zhang, Ying Chen, Huaida Liu

AAAI 2021 Detecting Beneficial Feature Interactions for Recommender Systems Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu

NeurIPS 2021 Distilling Object Detectors with Feature Richness Du Zhixing, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen

CVPR 2021 Domain-Specific Suppression for Adaptive Object Detection Yu Wang, Rui Zhang, Shuo Zhang, Miao Li, Yangyang Xia, Xishan Zhang, Shaoli Liu

IJCAI 2021 Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen

AAAI 2021 Melodic Phrase Attention Network for Symbolic Data-Based Music Genre Classification (Student Abstract) Li Li, Rui Zhang, Zhenyu Wang

JAIR 2021 NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models Greg M. Silverman, Himanshu S. Sahoo, Nicholas Ingraham, Monica Lupei, Michael A. Puskarich, Michael Usher, James Dries, Raymond L. Finzel, Eric Murray, John Sartori, György J. Simon, Rui Zhang, Genevieve B. Melton, Christopher J. Tignanelli, Serguei V. S. Pakhomov

IJCAI 2021 Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang

ICLR 2021 Prototypical Representation Learning for Relation Extraction Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang

ICLR 2021 SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah

NeurIPS 2021 Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut Kandemir, Chita Das

ICML 2021 Towards Better Robust Generalization with Shift Consistency Regularization Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

IJCAI 2021 UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau

CVPRW 2020 An Accurate Segmentation-Based Scene Text Detector with Context Attention and Repulsive Text Border Xi Liu, Gaojing Zhou, Rui Zhang, Xiaolin Wei

AAAI 2020 DWM: A Decomposable Winograd Method for Convolution Acceleration Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen

AAAI 2020 Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments Yangyang Zhao, Zhenyu Wang, Kai Yin, Rui Zhang, Zhenhua Huang, Pei Wang

ECML-PKDD 2020 Inductive Generalized Zero-Shot Learning with Adversarial Relation Network Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain

AAAI 2020 MALA: Cross-Domain Dialogue Generation with Action Learning Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang

NeurIPS 2020 Quantile Propagation for Wasserstein-Approximate Gaussian Processes Rui Zhang, Christian Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu, Lexing Xie

NeurIPSW 2020 SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah

AAAI 2020 Sentence Generation for Entity Description with Content-Plan Attention Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang

ECCV 2020 Short-Term and Long-Term Context Aggregation Network for Video Inpainting Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri

AAAI 2020 Variational Inference for Sparse Gaussian Process Modulated Hawkes Process Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu

ICML 2019 Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi

IJCAI 2019 Efficient Non-Parametric Bayesian Hawkes Processes Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie

AAAI 2019 Entity Alignment Between Knowledge Graphs Using Attribute Embeddings Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang

CVPRW 2019 Exploiting Offset-Guided Network for Pose Estimation and Tracking Rui Zhang, Zheng Zhu, Peng Li, Rui Wu, Chaoxu Guo, Guan Huang, Hailun Xia

IJCAI 2019 Generative Image Inpainting with Submanifold Alignment Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao

ICLR 2019 Harmonic Unpaired Image-to-Image Translation Rui Zhang, Tomas Pfister, Jia Li

NeurIPS 2019 McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds Rui Zhang, Xingwu Liu, Yuyi Wang, Liwei Wang

NeurIPS 2019 Robust Principal Component Analysis with Adaptive Neighbors Rui Zhang, Hanghang Tong

AAAI 2019 ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev

AAAI 2018 Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir R. Radev

IJCAI 2018 Collaborative Learning for Weakly Supervised Object Detection Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang

IJCAI 2018 High Resolution Feature Recovering for Accelerating Urban Scene Parsing Rui Zhang, Sheng Tang, Luoqi Liu, Yongdong Zhang, Jintao Li, Shuicheng Yan

NeurIPS 2018 KDGAN: Knowledge Distillation with Generative Adversarial Networks Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi

AAAI 2018 Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri

ECCV 2018 Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang

IJCAI 2018 Predicting Complex Activities from Ongoing Multivariate Time Series Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri

IJCAI 2017 Global-Residual and Local-Boundary Refinement Networks for Rectifying Scene Parsing Predictions Rui Zhang, Sheng Tang, Min Lin, Jintao Li, Shuicheng Yan

AAAI 2017 Improving Efficiency of SVM K-Fold Cross-Validation by Alpha Seeding Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang

AAAI 2017 Incorporating Knowledge Graph Embeddings into Topic Modeling Liang Yao, Yin Zhang, Baogang Wei, Zhe Jin, Rui Zhang, Yangyang Zhang, Qinfei Chen

ICCV 2017 Scale-Adaptive Convolutions for Scene Parsing Rui Zhang, Sheng Tang, Yongdong Zhang, Jintao Li, Shuicheng Yan

CVPR 2016 Deep Structured Scene Parsing by Learning with Image Descriptions Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo

AAAI 2016 MOOCs Meet Measurement Theory: A Topic-Modelling Approach Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan

AAAI 2015 Identifying At-Risk Students in Massive Open Online Courses Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Rui Zhang