Wang, Rui

172 publications

IJCAI 2025 A Correlation Manifold Self-Attention Network for EEG Decoding Chen Hu, Rui Wang, Xiaoning Song, Tao Zhou, Xiao-Jun Wu, Nicu Sebe, Ziheng Chen

ICCV 2025 A3GS: Arbitrary Artistic Style into Arbitrary 3D Gaussian Splatting Zhiyuan Fang, Rengan Xie, Xuancheng Jin, Qi Ye, Wei Chen, Wenting Zheng, Rui Wang, Yuchi Huo

FnTML 2025 Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems 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, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, 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

AAAI 2025 Attention-Imperceptible Backdoor Attacks on Vision Transformers Zhishen Wang, Rui Wang, Lihua Jing

ICCV 2025 Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction Weirong Chen, Ganlin Zhang, Felix Wimbauer, Rui Wang, Nikita Araslanov, Andrea Vedaldi, Daniel Cremers

NeurIPS 2025 Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks Hongyuan Tao, Ying Zhang, Zhenhao Tang, Hongen Peng, Xukun Zhu, Bingchang Liu, Yingguang Yang, Ziyin Zhang, Zhaogui Xu, Haipeng Zhang, Linchao Zhu, Rui Wang, Hang Yu, Jianguo Li, Peng Di

ICCV 2025 DeGauss: Dynamic-Static Decomposition with Gaussian Splatting for Distractor-Free 3D Reconstruction Rui Wang, Quentin Lohmeyer, Mirko Meboldt, Siyu Tang

ICLR 2025 Do Large Language Models Truly Understand Geometric Structures? Xiaofeng Wang, Yiming Wang, Wenhong Zhu, Rui Wang

ICML 2025 Do NOT Think That Much for 2+3=? on the Overthinking of Long Reasoning Models Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

IJCAI 2025 Efficient Dynamic Graphs Learning with Refined Batch Parallel Training ZhengZhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song

CVPR 2025 EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-Based Constraint for Open-Source Dataset Copyright Protection Ming Sun, Rui Wang, Zixuan Zhu, Lihua Jing, Yuanfang Guo

ICML 2025 Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C.S. Lui, Dongruo Zhou

IJCAI 2025 Find and Perceive: Tell Visual Change with Fine-Grained Comparison Feixiao Lv, Rui Wang, Lihua Jing, Lijun Liu

NeurIPS 2025 Flexible Realignment of Language Models Wenhong Zhu, Ruobing Xie, Weinan Zhang, Rui Wang

ICML 2025 From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian

ICML 2025 From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

ICCV 2025 GDKVM: Echocardiography Video Segmentation via Spatiotemporal Key-Value Memory with Gated Delta Rule Rui Wang, Yimu Sun, Jingxing Guo, Huisi Wu, Jing Qin

ICLR 2025 Harnessing Diversity for Important Data Selection in Pretraining Large Language Models Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Qiu Jiantao, Lei Cao, Ju Fan, Ye Yuan, Guoren Wang, Conghui He

ICCV 2025 IntrinsicControlNet: Cross-Distribution Image Generation with Real and Unreal Jiayuan Lu, Rengan Xie, Zixuan Xie, Zhizhen Wu, Dianbing Xi, Qi Ye, Rui Wang, Hujun Bao, Yuchi Huo

NeurIPS 2025 LIFEBENCH: Evaluating Length Instruction Following in Large Language Models Wei Zhang, Zhenhong Zhou, Kun Wang, Junfeng Fang, Rongwu Xu, Yuanhe Zhang, Rui Wang, Ge Zhang, Xinfeng Li, Li Sun, Lingjuan Lyu, Yang Liu, Sen Su

ICLR 2025 Latent Space Chain-of-Embedding Enables Output-Free LLM Self-Evaluation Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Rui Wang

CVPR 2025 Learning to Normalize on the SPD Manifold Under Bures-Wasserstein Geometry Rui Wang, Shaocheng Jin, Ziheng Chen, Xiaoqing Luo, Xiao-Jun Wu

AAAI 2025 LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data Shaocong Xu, Pengfei Li, Qianpu Sun, Xinyu Liu, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Li Jiang, Hao Zhao, Yilun Chen

CVPR 2025 LidarGait++: Learning Local Features and Size Awareness from LiDAR Point Clouds for 3D Gait Recognition Chuanfu Shen, Rui Wang, Lixin Duan, Shiqi Yu

ICLR 2025 Longhorn: State Space Models Are Amortized Online Learners Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu

WACV 2025 Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm Yanqi Qiao, Dazhuang Liu, Rui Wang, Kaitai Liang

IJCAI 2025 M4Bench: A Benchmark of Multi-Domain Multi-Granularity Multi-Image Understanding for Multi-Modal Large Language Models Xiaojun Ye, Guanbao Liang, Chun Wang, Liangcheng Li, Pengfei Ke, Rui Wang, Bingxin Jia, Gang Huang, Qiao Sun, Sheng Zhou

ICCV 2025 MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance Quanhao Li, Zhen Xing, Rui Wang, Hui Zhang, Qi Dai, Zuxuan Wu

NeurIPS 2025 OneIG-Bench: Omni-Dimensional Nuanced Evaluation for Image Generation Jingjing Chang, Yixiao Fang, Peng Xing, Shuhan Wu, Wei Cheng, Rui Wang, Xianfang Zeng, Gang Yu, Hai-Bao Chen

CVPR 2025 Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater Xueyu Liu, Rui Wang, Yexin Lai, Guangze Shi, Feixue Shao, Fang Hao, Jianan Zhang, Jia Shen, Yongfei Wu, Wen Zheng

NeurIPS 2025 PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts Yiming Wang, Pei Zhang, Jialong Tang, Hao-Ran Wei, Baosong Yang, Rui Wang, Chenshu Sun, Feitong Sun, Jiran Zhang, Junxuan Wu, Qiqian Cang, Yichang Zhang, Fei Huang, Junyang Lin, Fei Huang, Jingren Zhou

IJCAI 2025 Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning Minghao Li, Rui Wang, Ming Sun, Lihua Jing

AAAI 2025 R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration Yang Hua, Tianyang Xu, Xiaoning Song, Zhenhua Feng, Rui Wang, Wenjie Zhang, Xiaojun Wu

ICLR 2025 RaSA: Rank-Sharing Low-Rank Adaptation Zhiwei He, Zhaopeng Tu, Xing Wang, Xingyu Chen, Zhijie Wang, Jiahao Xu, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang

AISTATS 2025 RetroDiff: Retrosynthesis as Multi-Stage Distribution Interpolation Yiming Wang, Yuxuan Song, Yiqun Wang, Minkai Xu, Rui Wang, Hao Zhou, Wei-Ying Ma

AAAI 2025 Revisiting Change Captioning from Self-Supervised Global-Part Alignment Feixiao Lv, Rui Wang, Lihua Jing

NeurIPS 2025 Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws Lin Guo, Xiaoqing Luo, Wei Xie, Zhancheng Zhang, Hui Li, Rui Wang, Zhenhua Feng, Xiaoning Song

NeurIPS 2025 SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater Hanwen Liu, Longjiao Zhang, Rui Wang, Tongya Zheng, Sai Wu, Chang Yao, Mingli Song

ICCV 2025 SAM Encoder Breach by Adversarial Simplicial Complex Triggers Downstream Model Failures Yi Qin, Rui Wang, Tao Huang, Tong Xiao, Liping Jing

NeurIPS 2025 Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding Yiming Wang, Pei Zhang, Siyuan Huang, Baosong Yang, Zhuosheng Zhang, Fei Huang, Rui Wang

ICLR 2025 TLDR: Token-Level Detective Reward Model for Large Vision Language Models Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen

NeurIPS 2025 Thoughts Are All over the Place: On the Underthinking of Long Reasoning Models Yue Wang, Qiuzhi Liu, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Linfeng Song, Dian Yu, Juntao Li, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

IJCAI 2025 Towards Robust Incremental Learning Under Ambiguous Supervision Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao

NeurIPS 2025 Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds Rui Wang, Chen Hu, Xiaoning Song, Xiaojun Wu, Nicu Sebe, Ziheng Chen

AAAI 2025 VIoTGPT: Learning to Schedule Vision Tools Towards Intelligent Video Internet of Things Yaoyao Zhong, Mengshi Qi, Rui Wang, Yuhan Qiu, Yang Zhang, Huadong Ma

ICLR 2025 Wavelet Diffusion Neural Operator Peiyan Hu, Rui Wang, Xiang Zheng, Tao Zhang, Haodong Feng, Ruiqi Feng, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

ICLR 2025 Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model Wenhong Zhu, Zhiwei He, Xiaofeng Wang, Pengfei Liu, Rui Wang

TMLR 2024 A General Framework for Formulating Structured Variable Selection Guanbo Wang, Mireille Schnitzer, Tom Chen, Rui Wang, Robert W Platt

IJCAI 2024 A Grassmannian Manifold Self-Attention Network for Signal Classification Rui Wang, Chen Hu, Ziheng Chen, Xiao-Jun Wu, Xiaoning Song

NeurIPSW 2024 A Probabilistic Generative Method for Safe Physical System Control Problems Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

NeurIPS 2024 A Recipe for Charge Density Prediction Xiang Fu, Andrew Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess Smidt, Tommi Jaakkola

ICMLW 2024 A Recipe for Charge Density Prediction Xiang Fu, Andrew Scott Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess Smidt, Tommi Jaakkola

ICLR 2024 AffineQuant: Affine Transformation Quantization for Large Language Models Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji

ICLR 2024 Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang

NeurIPS 2024 DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving Yuxuan Tong, Xiwen Zhang, Rui Wang, Ruidong Wu, Junxian He

CVPR 2024 DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting Demin Yu, Xutao Li, Yunming Ye, Baoquan Zhang, Chuyao Luo, Kuai Dai, Rui Wang, Xunlai Chen

NeurIPS 2024 DiffPhyCon: A Generative Approach to Control Complex Physical Systems Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu

ICML 2024 Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang, Elyssa Hofgard, Han Gao, Robin Walters, Tess Smidt

NeurIPS 2024 Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang, Rui Wang

NeurIPS 2024 Enhancing Protein Mutation Effect Prediction Through a Retrieval-Augmented Framework Ruihan Guo, Rui Wang, Ruidong Wu, Zhizhou Ren, Jiahan Li, Shitong Luo, Zuofan Wu, Qiang Liu, Jian Peng, Jianzhu Ma

NeurIPS 2024 EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models Shangquan Sun, Wenqi Ren, Zikun Liu, Hyunhee Park, Rui Wang, Xiaochun Cao

IJCAI 2024 Error-Aware Sampling in Adaptive Shells for Neural Surface Reconstruction Qi Wang, Yuchi Huo, Qi Ye, Rui Wang, Hujun Bao

CVPR 2024 F3Loc: Fusion and Filtering for Floorplan Localization Changan Chen, Rui Wang, Christoph Vogel, Marc Pollefeys

ICML 2024 FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng

AAAI 2024 Frequency Shuffling and Enhancement for Open Set Recognition Lijun Liu, Rui Wang, Yuan Wang, Lihua Jing, Chuan Wang

ICLRW 2024 Generative PDE Control Long Wei, Peiyan Hu, Ruiqi Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu

ICML 2024 Improving Open-Ended Text Generation via Adaptive Decoding Wenhong Zhu, Hongkun Hao, Zhiwei He, Yiming Ai, Rui Wang

ICMLW 2024 Is Self-Knowledge and Action Consistent or Not: Investigating Large Language Model's Personality Yiming Ai, Zhiwei He, Ziyin Zhang, Wenhong Zhu, Hongkun Hao, Kai Yu, Lingjun Chen, Rui Wang

CVPR 2024 LEAP-VO: Long-Term Effective Any Point Tracking for Visual Odometry Weirong Chen, Le Chen, Rui Wang, Marc Pollefeys

CVPR 2024 Logit Standardization in Knowledge Distillation Shangquan Sun, Wenqi Ren, Jingzhi Li, Rui Wang, Xiaochun Cao

ICML 2024 Outlier-Aware Slicing for Post-Training Quantization in Vision Transformer Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji

CVPR 2024 PAD: Patch-Agnostic Defense Against Adversarial Patch Attacks Lihua Jing, Rui Wang, Wenqi Ren, Xin Dong, Cong Zou

NeurIPS 2024 Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai

ICLRW 2024 R-Judge: Benchmarking Safety Risk Awareness for LLM Agents Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Li Fangqi, Zhuosheng Zhang, Rui Wang, Gongshen Liu

NeurIPS 2024 RMLR: Extending Multinomial Logistic Regression into General Geometries Ziheng Chen, Yue Song, Rui Wang, Xiao-Jun Wu, Nicu Sebe

ICMLW 2024 Relaxed Equivariant Graph Neural Networks Elyssa Hofgard, Rui Wang, Robin Walters, Tess Smidt

ECCV 2024 Restoring Images in Adverse Weather Conditions via Histogram Transformer Shangquan Sun, Wenqi Ren, Xinwei Gao, Rui Wang, Xiaochun Cao

AAAI 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu

CVPR 2024 SEED-Bench: Benchmarking Multimodal Large Language Models Bohao Li, Yuying Ge, Yixiao Ge, Guangzhi Wang, Rui Wang, Ruimao Zhang, Ying Shan

CVPR 2024 SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation Yuxuan Zhang, Yiren Song, Jiaming Liu, Rui Wang, Jinpeng Yu, Hao Tang, Huaxia Li, Xu Tang, Yao Hu, Han Pan, Zhongliang Jing

JMLR 2024 Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces Rui Wang, Yuesheng Xu, Mingsong Yan

CVPR 2024 Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning Zhengwei Fang, Rui Wang, Tao Huang, Liping Jing

AAAI 2024 T2MAC: Targeted and Trusted Multi-Agent Communication Through Selective Engagement and Evidence-Driven Integration Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu, Rui Wang, Changwen Zheng

CVPRW 2024 Triage of 3D Pathology Data via 2.5d Multiple-Instance Learning to Guide Pathologist Assessments Gan Gao, Andrew H. Song, Fiona Wang, David Brenes, Rui Wang, Sarah S. L. Chow, Kevin W. Bishop, Lawrence D. true, Faisal Mahmood, Jonathan T. C. Liu

TMLR 2024 Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code Ziyin Zhang, Chaoyu Chen, Bingchang Liu, Cong Liao, Zi Gong, Hang Yu, Jianguo Li, Rui Wang

NeurIPS 2023 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging Rui Wang, Yanyan Ouyang, Yu Panpan, Wangli Xu

ICCV 2023 AlignDet: Aligning Pre-Training and Fine-Tuning in Object Detection Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan

ICCV 2023 AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji

ICCV 2023 CASSPR: Cross Attention Single Scan Place Recognition Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F Henriques, Daniel Cremers

CVPR 2023 Delving into Shape-Aware Zero-Shot Semantic Segmentation Xinyu Liu, Beiwen Tian, Zhen Wang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao, Guyue Zhou

ECML-PKDD 2023 Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field Inference Jiayao Chen, Rui Wang, Jueying He, Mark Junjie Li

AAAI 2023 Few-Shot Composition Learning for Image Retrieval with Prompt Tuning Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao

CVPR 2023 FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Ren Yuxi, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang

CVPR 2023 I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs Jingsen Zhu, Yuchi Huo, Qi Ye, Fujun Luan, Jifan Li, Dianbing Xi, Lisha Wang, Rui Tang, Wei Hua, Hujun Bao, Rui Wang

NeurIPS 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao

ICLR 2023 Koopman Neural Operator Forecaster for Time-Series with Temporal Distributional Shifts Rui Wang, Yihe Dong, Sercan O Arik, Rose Yu

NeurIPS 2023 Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification Rui Wang, Peipei Li, Huaibo Huang, Chunshui Cao, Ran He, Zhaofeng He

CVPR 2023 LidarGait: Benchmarking 3D Gait Recognition with Point Clouds Chuanfu Shen, Chao Fan, Wei Wu, Rui Wang, George Q. Huang, Shiqi Yu

CVPR 2023 Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Yu-Gang Jiang

NeurIPS 2023 Michelangelo: Conditional 3D Shape Generation Based on Shape-Image-Text Aligned Latent Representation Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao

CVPR 2023 Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H.S. Torr, Ser-Nam Lim

CVPR 2023 PACO: Parts and Attributes of Common Objects Vignesh Ramanathan, Anmol Kalia, Vladan Petrovic, Yi Wen, Baixue Zheng, Baishan Guo, Rui Wang, Aaron Marquez, Rama Kovvuri, Abhishek Kadian, Amir Mousavi, Yiwen Song, Abhimanyu Dubey, Dhruv Mahajan

ICCV 2023 Pluralistic Aging Diffusion Autoencoder Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He

NeurIPSW 2023 Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems Rui Wang, Robin Walters, Tess Smidt

AAAI 2023 Riemannian Local Mechanism for SPD Neural Networks Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler

AAAI 2023 SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu

CVPR 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji

ICCV 2023 The Victim and the Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data Zixuan Zhu, Rui Wang, Cong Zou, Lihua Jing

AISTATS 2023 Toward Fairness in Text Generation via Mutual Information Minimization Based on Importance Sampling Rui Wang, Pengyu Cheng, Ricardo Henao

AAAI 2023 Trafformer: Unify Time and Space in Traffic Prediction Di Jin, Jiayi Shi, Rui Wang, Yawen Li, Yuxiao Huang, Yu-Bin Yang

ICCV 2023 UGC: Unified GAN Compression for Efficient Image-to-Image Translation Yuxi Ren, Jie Wu, Peng Zhang, Manlin Zhang, Xuefeng Xiao, Qian He, Rui Wang, Min Zheng, Xin Pan

AISTATS 2022 On a Connection Between Fast and Sparse Oblivious Subspace Embeddings Rui Wang, Wangli Xu

ICML 2022 Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang, Robin Walters, Rose Yu

CVPR 2022 BEVT: BERT Pretraining of Video Transformers Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan

IJCAI 2022 Effective Graph Context Representation for Document-Level Machine Translation Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang

NeurIPS 2022 Few-Shot Fast-Adaptive Anomaly Detection Ze Wang, Yipin Zhou, Rui Wang, Tsung-Yu Lin, Ashish Shah, Ser Nam Lim

ICML 2022 Iterative Double Sketching for Faster Least-Squares Optimization Rui Wang, Yanyan Ouyang, Wangli Xu

AAAI 2022 Latent Space Simulation for Carbon Capture Design Optimization Brian R. Bartoldson, Rui Wang, Yucheng Fu, David P. Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng

NeurIPS 2022 Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang, Robin Walters, Rose Yu

NeurIPS 2022 Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu

AAAI 2022 Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang

IJCAI 2022 RAW-GNN: RAndom Walk Aggregation Based Graph Neural Network Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang

IJCAI 2021 A Survey on Low-Resource Neural Machine Translation Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu

L4DC 2021 Bridging Physics-Based and Data-Driven Modeling for Learning Dynamical Systems Rui Wang, Danielle Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu

NeurIPS 2021 Curriculum Disentangled Recommendation with Noisy Multi-Feedback Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu

ICCVW 2021 Deep Manifold Prior Matheus Gadelha, Rui Wang, Subhransu Maji

AAAI 2021 Hierarchical Reinforcement Learning for Integrated Recommendation Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

ICLR 2021 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang, Robin Walters, Rose Yu

ICCV 2021 PreDet: Large-Scale Weakly Supervised Pre-Training for Detection Vignesh Ramanathan, Rui Wang, Dhruv Mahajan

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

JMLR 2021 Representer Theorems in Banach Spaces: Minimum Norm Interpolation, Regularized Learning and Semi-Discrete Inverse Problems Rui Wang, Yuesheng Xu

CVPR 2021 SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla

ICLR 2021 Shapley Explanation Networks Rui Wang, Xiaoqian Wang, David I. Inouye

NeurIPS 2021 Universal Graph Convolutional Networks Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han

CVPRW 2020 A Point Light Source Interference Removal Method for Image Dehazing Yanyang Yan, Shengdong Zhang, Mingye Ju, Wenqi Ren, Rui Wang, Yuanfang Guo

AAAI 2020 Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition Chuanqi Tan, Wei Qiu, Mosha Chen, Rui Wang, Fei Huang

ECCV 2020 DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization Juan Du, Rui Wang, Daniel Cremers

ICLR 2020 Data-Dependent Gaussian Prior Objective for Language Generation Zuchao Li, Rui Wang, Kehai Chen, Masso Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao

IJCAI 2020 Deep Feedback Network for Recommendation Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin

ICML 2020 Enhanced POET: Open-Ended Reinforcement Learning Through Unbounded Invention of Learning Challenges and Their Solutions Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth Stanley

ICML 2020 Estimating Q(s,s’) with Deep Deterministic Dynamics Gradients Ashley Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski

AAAI 2020 Explicit Sentence Compression for Neural Machine Translation Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao

ECCV 2020 Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji

ICLR 2020 Neural Machine Translation with Universal Visual Representation Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, Hai Zhao

AAAI 2020 SG-Net: Syntax-Guided Machine Reading Comprehension Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, Rui Wang

NeurIPS 2020 Semi-Supervised Neural Architecture Search Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu

MLHC 2020 Students Need More Attention: BERT-Based Attention Model for Small Data with Application to Automatic Patient Message Triage Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin

ECCVW 2020 What Leads to Generalization of Object Proposals? Rui Wang, Dhruv Mahajan, Vignesh Ramanathan

AAAI 2019 A Deep Cascade Model for Multi-Document Reading Comprehension Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen

IJCAI 2019 An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman

AAAI 2019 Chinese NER with Height-Limited Constituent Parsing Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan

NeurIPS 2019 Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang

ACML 2019 LADet: A Light-Weight and Adaptive Network for Multi-Scale Object Detection Jiaming Zhou, Yuqiao Tian, Weicheng Li, Rui Wang, Zhongzhi Luan, Depei Qian

ICCVW 2019 More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler

AAAI 2019 PCGAN: Partition-Controlled Human Image Generation Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou

IJCAI 2019 Self-Attentive Biaffine Dependency Parsing Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si

AAAI 2019 Syntax-Aware Neural Semantic Role Labeling Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si

ICCVW 2019 Unsupervised Teacher-Student Model for Large-Scale Video Retrieval Dong Liang, Lanfen Lin, Rui Wang, Jie Shao, Changhu Wang, Yen-Wei Chen

ECCVW 2018 A Deeper Look at 3D Shape Classifiers Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji

AAAI 2018 Audio Visual Attribute Discovery for Fine-Grained Object Recognition Hua Zhang, Xiaochun Cao, Rui Wang

ECCV 2018 Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry Nan Yang, Rui Wang, Jorg Stuckler, Daniel Cremers

ECCV 2018 Multiresolution Tree Networks for 3D Point Cloud Processing Matheus Gadelha, Rui Wang, Subhransu Maji

AAAI 2018 Syntax-Directed Attention for Neural Machine Translation Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

CVPR 2017 Binarized Mode Seeking for Scalable Visual Pattern Discovery Wei Zhang, Xiaochun Cao, Rui Wang, Yuanfang Guo, Zhineng Chen

CVPR 2017 Image Deblurring via Extreme Channels Prior Yanyang Yan, Wenqi Ren, Yuanfang Guo, Rui Wang, Xiaochun Cao

ICCV 2017 Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras Rui Wang, Martin Schworer, Daniel Cremers

IJCAI 2016 A Bilingual Graph-Based Semantic Model for Statistical Machine Translation Rui Wang, Hai Zhao, Sabine Ploux, Bao-Liang Lu, Masao Utiyama

CVPR 2016 SketchNet: Sketch Classification with Web Images Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang, Xiaochun Cao

CVPRW 2014 Static and Moving Object Detection Using Flux Tensor with Split Gaussian Models Rui Wang, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan

ICML 2012 Approximate Principal Direction Trees Mark McCartin-Lim, Andrew McGregor, Rui Wang

AAAI 2011 Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems Ke Tang, Rui Wang, Tianshi Chen

AAAI 2007 Recognizing Textual Entailment Using a Subsequence Kernel Method Rui Wang, Günter Neumann