Wang, Jun

308 publications

TMLR 2026 The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhong-Zhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Francisco Piedrahita Velez, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai

AAAI 2025 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi

ECML-PKDD 2025 A Bilevel Reinforcement Learning Framework with Language Prior Knowledge Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, Jun Wang, David Mguni

NeurIPS 2025 A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning Anjie Liu, Jianhong Wang, Samuel Kaski, Jun Wang, Mengyue Yang

ICLRW 2025 ARIES: Stimulating Self-Refinement of Large Language Models with and for Iterative Preference Optimization Yongcheng Zeng, Xuanfa Jin, Guoqing Liu, Quan He, Dong Li, Jianye Hao, Haifeng Zhang, Jun Wang

ICML 2025 Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li

IJCAI 2025 Aligning Contrastive Multiple Clusterings with User Interests Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi, Guoxian Yu

ICLRW 2025 AppVLM: A Lightweight Vision Language Model for Online App Control Georgios Papoudakis, Thomas Coste, Zhihao Wu, Jianye Hao, Jun Wang, Kun Shao

ICLR 2025 Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li

ICLRW 2025 CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models 梁学辰, Yangfan He, Meiling Tao, Yinghui Xia, Yijin Wang, Jianhui Wang, Kun Li, Jiayi Su, Tianyu Shi, Jun Wang, Yang Jingsong

NeurIPS 2025 CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning Jun Wang, Fuyuan Cao, ZhixinXue, Xingwang Zhao, Jiye Liang

NeurIPS 2025 Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning Xiangning Yu, Zhuohan Wang, Linyi Yang, Haoxuan Li, Anjie Liu, Xiao Xue, Jun Wang, Mengyue Yang

ICLR 2025 Circuit Transformer: A Transformer That Preserves Logical Equivalence Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang

NeurIPS 2025 Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning Xueqi Ma, Jun Wang, Yanbei Jiang, Sarah Monazam Erfani, Tongliang Liu, James Bailey

AAAI 2025 Coherency Improved Explainable Recommendation via Large Language Model Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang

ICML 2025 Constrain Alignment with Sparse Autoencoders Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang

NeurIPS 2025 Curious Causality-Seeking Agents in Open-Ended Worlds Zhiyu Zhao, Haoxuan Li, Haifeng Zhang, Jun Wang, Francesco Faccio, Jürgen Schmidhuber, Mengyue Yang

NeurIPS 2025 DGCBench: A Deep Graph Clustering Benchmark Benyu Wu, Yue Liu, Qiaoyu Tan, Xinwang Liu, Wei Du, Jun Wang, Guoxian Yu

IJCAI 2025 DUQ: Dual Uncertainty Quantification for Text-Video Retrieval Xin Liu, Shibai Yin, Jun Wang, Jiaxin Zhu, Xingyang Wang, Yee-Hong Yang

IJCAI 2025 Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen

ICLR 2025 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao

ICLRW 2025 Don't Throw Away Data: Improving Sequence Knowledge Distillation with Minimum Bayes Risk Decoding Jun Wang, Eleftheria Briakou, Hamid Dadkhahi, Rishabh Agarwal, Colin Cherry, Trevor Cohn

NeurIPS 2025 EconGym: A Scalable AI Testbed with Diverse Economic Tasks Qirui Mi, Qipeng Yang, Zijun Fan, Wentian Fan, Heyang Ma, Chengdong Ma, Siyu Xia, Bo An, Jun Wang, Haifeng Zhang

NeurIPS 2025 Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More than 9600 GPUs Guoliang He, Youhe Jiang, Wencong Xiao, Jiang Kaihua, Shuguang Wang, Jun Wang, Du Zixian, Zhuo Jiang, Xinlei Zhang, Binhang Yuan, Eiko Yoneki

ICLR 2025 Efficient Reinforcement Learning with Large Language Model Priors Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou Ammar, Jun Wang

ICML 2025 Elucidating the Design Space of Language Models for Image Generation Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao

AAAI 2025 Emergence-Inspired Multi-Granularity Causal Learning Hanwen Luo, Guoxian Yu, Jun Wang, Yanyu Xu, Yongqing Zheng, Qingzhong Li

ICLRW 2025 Enhancing Mathematical Reasoning in Language Models Through Focused Differentiation Training Zhiyu Zhao, Yongcheng Zeng, Ning Yang, Zihan Zhao, Haifeng Zhang, Jun Wang, Guoqing Liu

AAAI 2025 FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles Tian-Hao Zhang, Jiawei Zhang, Jun Wang, Xinyuan Qian, Xu-Cheng Yin

AAAI 2025 FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng

ICCV 2025 From Enhancement to Understanding: Build a Generalized Bridge for Low-Light Vision via Semantically Consistent Unsupervised Fine-Tuning Sen Wang, Shao Zeng, Tianjun Gu, Zhizhong Zhang, Ruixin Zhang, Shouhong Ding, Jingyun Zhang, Jun Wang, Xin Tan, Yuan Xie, Lizhuang Ma

NeurIPS 2025 GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning Shutong Ding, Ke Hu, Shan Zhong, Haoyang Luo, Weinan Zhang, Jingya Wang, Jun Wang, Ye Shi

ICLRW 2025 Hierarchical Episodic Memory in LLMs via Multi-Scale Event Organization Martin Benfeghoul, Haitham Bou Ammar, Jun Wang, Zafeirios Fountas

ICLR 2025 Human-Inspired Episodic Memory for Infinite Context LLMs Zafeirios Fountas, Martin Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou Ammar, Jun Wang

IJCAI 2025 Imputation-Free Incomplete Multi-View Clustering via Knowledge Distillation Benyu Wu, Wei Du, Jun Wang, Guoxian Yu

NeurIPS 2025 InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan

ICML 2025 Large Language Models Are Demonstration Pre-Selectors for Themselves Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang

ICML 2025 Learning Optimal Multimodal Information Bottleneck Representations Qilong Wu, Yiyang Shao, Jun Wang, Xiaobo Sun

ICLR 2025 Lightweight Neural App Control Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao

AAAI 2025 MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics Kaichen Xu, Qilong Wu, Yan Lu, Yinan Zheng, Wenlin Li, Xingjie Tang, Jun Wang, Xiaobo Sun

NeurIPS 2025 MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework Qirui Mi, Mengyue Yang, Xiangning Yu, Zhiyu Zhao, Cheng Deng, Bo An, Haifeng Zhang, Xu Chen, Jun Wang

AAAI 2025 MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading Wenhao Zhang, Jun Wang, Yong Luo, Lei Yu, Wei Yu, Zheng He, Jialie Shen

AAAI 2025 MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices Youpeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang

L4DC 2025 Mission-Driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications Jun Wang, Hosein Hasanbeig, Kaiyuan Tan, Zihe Sun, Yiannis Kantaros

ICLR 2025 Mixture of Attentions for Speculative Decoding Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou Ammar, Jun Wang

NeurIPS 2025 MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation Ning Li, Xiangmou Qu, Jiamu Zhou, Jun Wang, Muning Wen, Kounianhua Du, Xingyu Lou, Qiuying Peng, Jun Wang, Weinan Zhang

CVPRW 2025 NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results Zheng Chen, Jingkai Wang, Kai Liu, Jue Gong, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Jianxing Zhang, Jinlong Wu, Jun Wang, Zheng Xie, Hakjae Jeon, Suejin Han, Hyung-Ju Chun, Hyunhee Park, Zhicun Yin, Junjie Chen, Ming Liu, Xiaoming Li, Chao Zhou, Wangmeng Zuo, Weixia Zhang, Dingquan Li, Kede Ma, Yun Zhang, Zhuofan Zheng, Yuyue Liu, Shizhen Tang, Zihao Zhang, Yi Ning, Hao Jiang, Wenjie An, Kangmeng Yu, Chenyang Wang, Kui Jiang, Xianming Liu, Junjun Jiang, Yingfu Zhang, Gang He, Siqi Wang, Kepeng Xu, Zhenyang Liu, Changxin Zhou, Shanlan Shen, Yubo Duan, Yiang Chen, Jin Guo, Mengru Yang, Jen-Wei Lee, Chia-Ming Lee, Chih-Chung Hsu, Hu Peng, Chunming He

ICLRW 2025 Natural Language Reinforcement Learning Xidong Feng, Bo Liu, Ziyu Wan, Haotian Fu, Girish A. Koushik, Zhiyuan Hu, Mengyue Yang, Ying Wen, Jun Wang

AAAI 2025 Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising Zikuan Li, Qiaoyun Wu, Jialin Zhang, Kaijun Zhang, Jun Wang

ICLR 2025 On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu

NeurIPS 2025 Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization Yang Qiu, Yixiong Zou, Jun Wang, Wei Liu, Xiangyu Fu, Ruixuan Li

NeurIPS 2025 ReMA: Learning to Meta-Think for LLMs with Multi-Agent Reinforcement Learning Ziyu Wan, Yunxiang Li, Xiaoyu Wen, Yan Song, Hanjing Wang, Linyi Yang, Mark Schmidt, Jun Wang, Weinan Zhang, Shuyue Hu, Ying Wen

ICLR 2025 Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates Xiu-Chuan Li, Jun Wang, Tongliang Liu

NeurIPS 2025 Risk-Aware Direct Preference Optimization Under Nested Risk Measure Lijun Zhang, Lin Li, Yajie Qi, Huizhong Song, Yaodong Yang, Jun Wang, Wei Wei

ICLR 2025 Robust Function-Calling for On-Device Language Model via Function Masking Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang

AAAI 2025 STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation Cong Xu, Yunhang He, Jun Wang, Wei Zhang

CVPR 2025 STAR-Edge: Structure-Aware Local Spherical Curve Representation for Thin-Walled Edge Extraction from Unstructured Point Clouds Zikuan Li, Honghua Chen, Yuecheng Wang, Sibo Wu, Mingqiang Wei, Jun Wang

NeurIPS 2025 Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Hao Yu, Chuan Tang, Miaomiao Li, Xinwang Liu

NeurIPS 2025 Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs Jun Wang, Liang Ding, Shuai Wang, Hongyu Li, Yong Luo, Huangxuan Zhao, Han Hu, Bo Du

IJCAI 2025 Self-Supervised End-to-End ToF Imaging Based on RGB-D Cross-Modal Dependency Weihang Wang, Jun Wang, Fei Wen

NeurIPS 2025 Self-Verifying Reflection Helps Transformers with CoT Reasoning Zhongwei Yu, Wannian Xia, Xue Yan, Bo Xu, Haifeng Zhang, Yali Du, Jun Wang

AAAI 2025 Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation Yihao Wang, Jiajie Su, Chaochao Chen, Meng Han, Chi Zhang, Jun Wang

ICLR 2025 Spa-Bench: A Comprehensive Benchmark for Smartphone Agent Evaluation Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao

NeurIPS 2025 Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao

NeurIPS 2025 Switchable Token-Specific Codebook Quantization for Face Image Compression Yongbo Wang, Haonan Wang, Guodong Mu, Ruixin Zhang, Chen Jiaqi, Jingyun Zhang, Jun Wang, Yuan Xie, Zhizhong Zhang, Shouhong Ding

NeurIPS 2025 ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning Shulin Huang, Linyi Yang, Yan Song, Shuang Chen, Leyang Cui, Ziyu Wan, Qingcheng Zeng, Ying Wen, Kun Shao, Weinan Zhang, Jun Wang, Yue Zhang

ICCV 2025 U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration Xiaofan Li, Zhihao Xu, Chenming Wu, Zhao Yang, Yumeng Zhang, Jiang-Jiang Liu, Haibao Yu, Xiaoqing Ye, Yuan Wang, Shirui Li, Xun Sun, Ji Wan, Jun Wang

NeurIPS 2025 Uncertainty-Quantified Rollout Policy Adaptation for Unlabelled Cross-Domain Video Temporal Grounding Jian Hu, Zixu Cheng, Shaogang Gong, Isabel Guan, Jianye Hao, Jun Wang, Kun Shao

ICCV 2025 Unified Adversarial Augmentation for Improving Palmprint Recognition Jianlong Jin, Chenglong Zhao, Ruixin Zhang, Sheng Shang, Yang Zhao, Jun Wang, Jingyun Zhang, Shouhong Ding, Wei Jia, Yunsheng Wu

CVPR 2025 WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression Yu Mao, Jun Wang, Nan Guan, Chun Jason Xue

ICML 2024 AlphaZero-like Tree-Search Can Guide Large Language Model Decoding and Training Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus Mcaleer, Ying Wen, Weinan Zhang, Jun Wang

ICLRW 2024 Bayesian Reward Models for LLM Alignment Adam X. Yang, Maxime Robeyns, Thomas Coste, Jun Wang, Haitham Bou Ammar, Laurence Aitchison

ICMLW 2024 Bayesian Reward Models for LLM Alignment Adam X. Yang, Maxime Robeyns, Thomas Coste, Zhengyan Shi, Jun Wang, Haitham Bou Ammar, Laurence Aitchison

ICML 2024 Bifurcated Attention for Single-Context Large-Batch Sampling Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang

ECCVW 2024 Boosting Pose Estimators via Cross-Representation Distillation Kang Liu, Zhendong Yang, Jingyun Zhang, Jun Wang, Shaoming Wang, Chun Yuan, Rizen Guo

IJCAI 2024 Boundary-Aware Decoupled Flow Networks for Realistic Extreme Rescaling Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo

IJCAI 2024 Bridge to Non-Barrier Communication: Gloss-Prompted Fine-Grained Cued Speech Gesture Generation with Diffusion Model Wentao Lei, Li Liu, Jun Wang

CVPR 2024 CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation Jun Wang, Yuzhe Qin, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang

ICML 2024 DFD: Distilling the Feature Disparity Differently for Detectors Kang Liu, Yingyi Zhang, Jingyun Zhang, Jinmin Li, Jun Wang, Shaoming Wang, Chun Yuan, Rizen Guo

ICML 2024 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang

ICML 2024 Decouple Then Classify: A Dynamic Multi-View Labeling Strategy with Shared and Specific Information Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu

AAAI 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li

NeurIPSW 2024 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent Taiyi Wang, Zhihao Wu, Jianheng Liu, Derek Yuen, Jianye Hao, Jun Wang, Kun Shao

IJCAI 2024 Domain Adaptive and Fine-Grained Anomaly Detection for Single-Cell Sequencing Data and Beyond Kaichen Xu, Yueyang Ding, Suyang Hou, Weiqiang Zhan, Nisang Chen, Jun Wang, Xiaobo Sun

WACV 2024 Dynamic Token-Pass Transformers for Semantic Segmentation Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang

NeurIPS 2024 FOOGD: Federated Collaboration for Both Out-of-Distribution Generalization and Detection Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng

AAAI 2024 Federated Causality Learning with Explainable Adaptive Optimization Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang

NeurIPS 2024 Graph-Enhanced Optimizers for Structure-Aware Recommendation Embedding Evolution Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang

AAAI 2024 Human-Guided Moral Decision Making in Text-Based Games Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang

NeurIPS 2024 Is the MMI Criterion Necessary for Interpretability? Degenerating Non-Causal Features to Plain Noise for Self-Rationalization Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li

AAAI 2024 Large Language Models Are Neurosymbolic Reasoners Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang

NeurIPS 2024 Large Language Models Play StarCraft II:Benchmarks and a Chain of Summarization Approach Weiyu Ma, Qirui Mi, Yongcheng Zeng, Xue Yan, Yuqiao Wu, Runji Lin, Haifeng Zhang, Jun Wang

NeurIPS 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang

CoRL 2024 Lessons from Learning to Spin “Pens” Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik, Xiaolong Wang

NeurIPSW 2024 Lightweight Neural App Control Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao

MLJ 2024 Manas: Multi-Agent Neural Architecture Search Vasco Lopes, Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Antoine Yang, Victor Gabillon, Hang Xu, Zewei Chen, Jun Wang

CVPR 2024 Mudslide: A Universal Nuclear Instance Segmentation Method Jun Wang

AAAI 2024 Multi-Dimensional Fair Federated Learning Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu

AAAI 2024 Multi-Granularity Causal Structure Learning Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang

AAAI 2024 PointAttN: You Only Need Attention for Point Cloud Completion Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen

NeurIPS 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, Jun Wang

CVPR 2024 Privacy-Preserving Face Recognition Using Trainable Feature Subtraction Yuxi Mi, Zhizhou Zhong, Yuge Huang, Jiazhen Ji, Jianqing Xu, Jun Wang, Shaoming Wang, Shouhong Ding, Shuigeng Zhou

IJCAI 2024 Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang, Zhisong Pan

NeurIPS 2024 Reinforcing LLM Agents via Policy Optimization with Action Decomposition Muning Wen, Ziyu Wan, Jun Wang, Weinan Zhang, Ying Wen

CVPR 2024 SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation Sichen Chen, Yingyi Zhang, Siming Huang, Ran Yi, Ke Fan, Ruixin Zhang, Peixian Chen, Jun Wang, Shouhong Ding, Lizhuang Ma

AAAI 2024 Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis Rohan Mitta, Hosein Hasanbeig, Jun Wang, Daniel Kroening, Yiannis Kantaros, Alessandro Abate

NeurIPSW 2024 Spa-Bench: A Comprehensive Benchmark for Smartphone Agent Evaluation Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao

ICML 2024 Token-Level Direct Preference Optimization Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang

ECCVW 2024 xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong

ICML 2023 A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems Oliver Slumbers, David Henry Mguni, Stefano B Blumberg, Stephen Marcus Mcaleer, Yaodong Yang, Jun Wang

CVPR 2023 Align and Attend: Multimodal Summarization with Dual Contrastive Losses Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang

NeurIPSW 2023 AlphaZero-like Tree-Search Can Guide Large Language Model Decoding and Training Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang

NeurIPS 2023 An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du

IJCAI 2023 CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization Xiaohan Yu, Jun Wang, Yongsheng Gao

NeurIPS 2023 ChessGPT: Bridging Policy Learning and Language Modeling Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang

NeurIPSW 2023 CodonBERT: Large Language Models for mRNA Design and Optimization Sizhen Li, Saeed Moayedpour, Ruijiang Li, Michael Bailey, Saleh Riahi, Milad Miladi, Jacob Miner, Dinghai Zheng, Jun Wang, Akshay Balsubramani, Khang Tran, Minnie, Monica Wu, Xiaobo Gu, Ryan Clinton, Carla Asquith, Joseph Skaleski, Lianne Boeglin, Sudha Chivukula, Anusha Dias, Fernando Ulloa Montoya, Vikram Agarwal, Ziv Bar-Joseph, Sven Jager

NeurIPS 2023 D-Separation for Causal Self-Explanation Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, YuanKai Zhang, Yang Qiu

ICCV 2023 Data-Free Knowledge Distillation for Fine-Grained Visual Categorization Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang

ICLR 2023 DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang

CVPR 2023 DistilPose: Tokenized Pose Regression with Heatmap Distillation Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji

ICLR 2023 Dr.Spider: A Diagnostic Evaluation Benchmark Towards Text-to-SQL Robustness Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang

AAAI 2023 Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract) Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang

ACML 2023 FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation Zongyi Li, Hongbing Lyu, Jun Wang

ICML 2023 GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai

IJCAI 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi

AAAI 2023 Incentive-Boosted Federated Crowdsourcing Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang

NeurIPS 2023 Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy

NeurIPS 2023 Invariant Learning via Probability of Sufficient and Necessary Causes Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang

TMLR 2023 JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang

AAAI 2023 Learning to Shape Rewards Using a Game of Two Partners David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang

NeurIPS 2023 Lending Interaction Wings to Recommender Systems with Conversational Agents Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang

AAAI 2023 Long-Tail Cross Modal Hashing Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang

MLOSS 2023 MALib: A Parallel Framework for Population-Based Multi-Agent Reinforcement Learning Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang

ICML 2023 MANSA: Learning Fast and Slow in Multi-Agent Systems David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus Mcaleer, Feifei Tong, Jun Wang, Yaodong Yang

ICMLW 2023 On IO-Efficient Attention Mechanisms: Context-Aware Bifurcated Attention and the Generalized Multi-Group Attention Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Liangfu Chen, Jiacheng Guo, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang

NeurIPS 2023 Online PCA in Converging Self-Consistent Field Equations Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou Ammar, Lei Wang, Jun Wang

CVPRW 2023 Open Set Classification of GAN-Based Image Manipulations via a ViT-Based Hybrid Architecture Jun Wang, Omran Alamayreh, Benedetta Tondi, Mauro Barni

ICLR 2023 Order Matters: Agent-by-Agent Policy Optimization Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang

AAAI 2023 Reinforcement Causal Structure Learning on Order Graph Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo

AAAI 2023 Self-Decoupling and Ensemble Distillation for Efficient Segmentation Yuang Liu, Wei Zhang, Jun Wang

L4DC 2023 Targeted Adversarial Attacks Against Neural Network Trajectory Predictors Kaiyuan Tan, Jun Wang, Yiannis Kantaros

ICLR 2023 Timing Is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints David Henry Mguni, Aivar Sootla, Juliusz Krzysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang

ICCV 2023 TopoSeg: Topology-Aware Nuclear Instance Segmentation Hongliang He, Jun Wang, Pengxu Wei, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen

NeurIPS 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang

ICLRW 2022 A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang

NeurIPS 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang

ICLR 2022 BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu

ECML-PKDD 2022 Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang

NeurIPSW 2022 Contextual Transformer for Offline Meta Reinforcement Learning Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang

ECCV 2022 Cross-Modal Prototype Driven Network for Radiology Report Generation Jun Wang, Abhir Bhalerao, Yulan He

NeurIPS 2022 Enhancing Safe Exploration Using Safety State Augmentation Aivar Sootla, Alexander Cowen-Rivers, Jun Wang, Haitham Bou Ammar

NeurIPS 2022 FR: Folded Rationalization with a Unified Encoder Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, YuanKai Zhang

IJCAI 2022 FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao

AAAI 2022 Generation-Focused Table-Based Intermediate Pre-Training for Free-Form Question Answering Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang

JAIR 2022 HEBO: An Empirical Study of Assumptions in Bayesian Optimisation Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar

NeurIPSW 2022 Importance of Synthesizing High-Quality Data for Text-to-SQL Parsing Yiyun Zhao, Jiarong Jiang, Yiqun Hu, Wuwei Lan, Henghui Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Mingwen Dong, Joseph Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang

ICLR 2022 LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez-Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang

ECCVW 2022 Lane Change Classification and Prediction with Action Recognition Networks Kai Liang, Jun Wang, Abhir Bhalerao

ICLR 2022 Learning State Representations via Retracing in Reinforcement Learning Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess

AAAI 2022 Learning to Identify Top Elo Ratings: A Dueling Bandits Approach Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen

NeurIPS 2022 M2N: Mesh Movement Networks for PDE Solvers Wenbin Song, Mingrui Zhang, Joseph G Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang

WACV 2022 M3DETR: Multi-Representation, Multi-Scale, Mutual-Relation 3D Object Detection with Transformers Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha

NeurIPS 2022 Multi-Agent Reinforcement Learning Is a Sequence Modeling Problem Muning Wen, Jakub Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang

AAAI 2022 Multi-Knowledge Aggregation and Transfer for Semantic Segmentation Yuang Liu, Wei Zhang, Jun Wang

NeurIPS 2022 Multiagent Q-Learning with Sub-Team Coordination Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng

ECCVW 2022 Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen

IJCAI 2022 On the Convergence of Fictitious Play: A Decomposition Approach Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang

TMLR 2022 Online Double Oracle Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez-Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou Ammar, Yaodong Yang

NeurIPS 2022 Optimistic Tree Searches for Combinatorial Black-Box Optimization Cedric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou Ammar, Jun Wang

ICML 2022 Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang

CVPRW 2022 PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences Jun Wang, Xiaolong Li, Alan Sullivan, A. Lynn Abbott, Siheng Chen

ICLR 2022 Reinforcement Learning in Presence of Discrete Markovian Context Evolution Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou Ammar

MLJ 2022 SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Bou-Ammar

ICML 2022 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla, Alexander I Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David H Mguni, Jun Wang, Haitham Ammar

AAAI 2022 Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha

ICLR 2022 Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang

ICML 2022 Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach Shuang Wu, Ling Shi, Jun Wang, Guangjian Tian

NeurIPS 2022 Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li

ICCV 2021 Adaptive Curriculum Learning Yajing Kong, Liu Liu, Jun Wang, Dacheng Tao

AAAI 2021 Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection Mengyin Liu, Chao Zhu, Jun Wang, Xu-Cheng Yin

JMLR 2021 Are We Forgetting About Compositional Optimisers in Bayesian Optimisation? Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar

ICLR 2021 CT-Net: Channel Tensorization Network for Video Classification Kunchang Li, Xianhang Li, Yali Wang, Jun Wang, Yu Qiao

CVPR 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang

CVPR 2021 Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition Jiahui She, Yibo Hu, Hailin Shi, Jun Wang, Qiu Shen, Tao Mei

ICLR 2021 Empirical or Invariant Risk Minimization? a Sample Complexity Perspective Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney

ICML 2021 Estimating $α$-Rank from a Few Entries with Low Rank Matrix Completion Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifeng Zhang

AAAI 2021 Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang

AAAI 2021 Generative Semi-Supervised Learning for Multivariate Time Series Imputation Xiaoye Miao, Yangyang Wu, Jun Wang, Yunjun Gao, Xudong Mao, Jianwei Yin

AAAI 2021 LAMS: A Location-Aware Approach for Multimodal Summarization (Student Abstract) Zhengkun Zhang, Jun Wang, Zhe Sun, Zhenglu Yang

AAAI 2021 Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang

ICML 2021 Learning in Nonzero-Sum Stochastic Games with Potentials David H Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang

ICCV 2021 MLVSNet: Multi-Level Voting Siamese Network for 3D Visual Tracking Zhoutao Wang, Qian Xie, Yu-Kun Lai, Jing Wu, Kun Long, Jun Wang

ICML 2021 Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez-Nieves, Yaodong Yang, Oliver Slumbers, David H Mguni, Ying Wen, Jun Wang

MLJ 2021 Multiple Clusterings of Heterogeneous Information Networks Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

NeurIPS 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang

AAAI 2021 News Content Completion with Location-Aware Image Selection Zhengkun Zhang, Jun Wang, Adam Jatowt, Zhe Sun, Shao-Ping Lu, Zhenglu Yang

IJCAI 2021 Ordering-Based Causal Discovery with Reinforcement Learning Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang

IJCAI 2021 Pairwise Half-Graph Discrimination: A Simple Graph-Level Self-Supervised Strategy for Pre-Training Graph Neural Networks Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie

NeurIPSW 2021 Performance-Guaranteed ODE Solvers with Complexity-Informed Neural Networks Feng Zhao, Xiang Chen, Jun Wang, Zuoqiang Shi, Shao-Lun Huang

AAAI 2021 Predicting Flashover Occurrence Using Surrogate Temperature Data Eugene Yujun Fu, Wai Cheong Tam, Jun Wang, Richard Peacock, Paul A. Reneke, Grace Ngai, Hong Va Leong, Thomas Cleary

NeurIPS 2021 Settling the Variance of Multi-Agent Policy Gradients Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang

CVPR 2021 Source-Free Domain Adaptation for Semantic Segmentation Yuang Liu, Wei Zhang, Jun Wang

IJCAI 2021 State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-Armed Bandits Shuang Wu, Jingyu Zhao, Guangjian Tian, Jun Wang

AAAI 2021 Tune-in: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu

ICCV 2021 VENet: Voting Enhancement Network for 3D Object Detection Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang

CVPR 2021 Zero-Shot Adversarial Quantization Yuang Liu, Wei Zhang, Jun Wang

ICLR 2020 Adaptive Structural Fingerprints for Graph Attention Networks Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang

AAAI 2020 Bi-Level Actor-Critic for Multi-Agent Coordination Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang

ICML 2020 ControlVAE: Controllable Variational Autoencoder Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek Abdelzaher

AAAI 2020 Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao

IJCAI 2020 Crowdsourcing with Multiple-Source Knowledge Transfer Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi

AAAI 2020 Differentially Private Learning with Small Public Data Jun Wang, Zhi-Hua Zhou

AAAI 2020 Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism Xiyan Fu, Jun Wang, Jinghan Zhang, Jinmao Wei, Zhenglu Yang

ECCV 2020 InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis

AAAI 2020 Label Enhancement with Sample Correlations via Low-Rank Representation Haoyu Tang, Jihua Zhu, Qinghai Zheng, Jun Wang, Shanmin Pang, Zhongyu Li

AAAI 2020 Learning to Communicate Implicitly by Actions Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou-Ammar, Jun Wang

AAAI 2020 Learning to Model Opponent Learning (Student Abstract) Ian Davies, Zheng Tian, Jun Wang

IJCAI 2020 Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen, Yaodong Yang, Jun Wang

ICML 2020 Multi-Agent Determinantal Q-Learning Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang

ICLR 2020 Multi-Agent Interactions Modeling with Correlated Policies Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu

AAAI 2020 Multi-View Multiple Clusterings Using Deep Matrix Factorization Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang

AAAI 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao

AAAI 2020 NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu

ECCV 2020 Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink

NeurIPS 2020 Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang

CoRL 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang

ECCV 2020 Semi-Siamese Training for Shallow Face Learning Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei

AAAI 2020 To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer Yuanyuan Xu, Jun Wang, Jinmao Wei

ECCV 2020 ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang

IJCAI 2020 Weakly-Supervised Multi-View Multi-Instance Multi-Label Learning Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IJCAI 2019 A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang

IJCAI 2019 ActiveHNE: Active Heterogeneous Network Embedding Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang

ICML 2019 BayesNAS: A Bayesian Approach for Neural Architecture Search Hongpeng Zhou, Minghao Yang, Jun Wang, Wei Pan

IJCAI 2019 Community Detection and Link Prediction via Cluster-Driven Low-Rank Matrix Completion Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang

ICML 2019 Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization Kai Zhang, Sheng Zhang, Jun Liu, Jun Wang, Jie Zhang

AAAI 2019 Learning Adaptive Random Features Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar

AAAI 2019 Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo

IJCAI 2019 Multi-View Multiple Clustering Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

NeurIPS 2019 Multi-View Reinforcement Learning Minne Li, Lisheng Wu, Jun Wang, Haitham Bou Ammar

AAAI 2019 Multiple Independent Subspace Clusterings Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo

IJCAI 2019 Novel Collaborative Filtering Recommender Friendly to Privacy Protection Jun Wang, Qiang Tang, Afonso Arriaga, Peter Y. A. Ryan

AAAI 2019 Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia

ICLR 2019 Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan

AAAI 2019 Ranking-Based Deep Cross-Modal Hashing Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo

AAAI 2019 The Kelly Growth Optimal Portfolio with Ensemble Learning Weiwei Shen, Bin Wang, Jian Pu, Jun Wang

AAAI 2018 A Neural Stochastic Volatility Model Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang

ICLR 2018 Activation Maximization Generative Adversarial Nets Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu

AAAI 2018 Efficient Architecture Search by Network Transformation Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang

IJCAI 2018 Incomplete Multi-View Weak-Label Learning Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang

IJCAI 2018 Learning Sequential Correlation for User Generated Textual Content Popularity Prediction Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha

IJCAI 2018 Learning to Design Games: Strategic Environments in Reinforcement Learning Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li

AAAI 2018 Long Text Generation via Adversarial Training with Leaked Information Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang

AAAI 2018 MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu

ICML 2018 Mean Field Multi-Agent Reinforcement Learning Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang

IJCAI 2018 Multi-Label Co-Training Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang

AAAI 2018 Tau-FPL: Tolerance-Constrained Learning in Linear Time Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha

NeurIPS 2018 Thermostat-Assisted Continuously-Tempered Hamiltonian Monte Carlo for Bayesian Learning Rui Luo, Jianhong Wang, Yaodong Yang, Jun Wang, Zhanxing Zhu

AAAI 2017 Portfolio Selection via Subset Resampling Weiwei Shen, Jun Wang

AAAI 2017 Random Features for Shift-Invariant Kernels with Moment Matching Weiwei Shen, Zhihui Yang, Jun Wang

AAAI 2017 SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu

MLJ 2016 Factorizing LambdaMART for Cold Start Recommendations Phong Nguyen, Jun Wang, Alexandros Kalousis

ECML-PKDD 2016 Functional Bid Landscape Forecasting for Display Advertising Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu

CVPR 2016 Online Reconstruction of Indoor Scenes from RGB-D Streams Hao Wang, Jun Wang, Wang Liang

IJCAI 2016 Portfolio Blending via Thompson Sampling Weiwei Shen, Jun Wang

WACV 2015 Automated Axon Segmentation from Highly Noisy Microscopic Videos John Bowler, Rogério Schmidt Feris, Liangliang Cao, Jun Wang, Mo Zhou

ICML 2015 Information Geometry and Minimum Description Length Networks Ke Sun, Jun Wang, Alexandros Kalousis, Stephan Marchand-Maillet

AAAI 2015 Multi-View Point Registration via Alternating Optimization Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu

IJCAI 2015 Optimal Bayesian Hashing for Efficient Face Recognition Qi Dai, Jianguo Li, Jun Wang, Yurong Chen, Yu-Gang Jiang

IJCAI 2015 Portfolio Choices with Orthogonal Bandit Learning Weiwei Shen, Jun Wang, Yu-Gang Jiang, Hongyuan Zha

AAAI 2015 Probabilistic Attributed Hashing Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu

NeurIPS 2015 Space-Time Local Embeddings Ke Sun, Jun Wang, Alexandros Kalousis, Stephane Marchand-Maillet

AAAI 2015 Transaction Costs-Aware Portfolio Optimization via Fast Lowner-John Ellipsoid Approximation Weiwei Shen, Jun Wang

ICML 2014 A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-Dimensional Data Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin, Anil Jain

AAAI 2014 Doubly Regularized Portfolio with Risk Minimization Weiwei Shen, Jun Wang, Shiqian Ma

ECCV 2014 From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields Yan Wang, Jie Feng, Zhixiang Wu, Jun Wang, Shih-Fu Chang

AAAI 2014 Privacy and Regression Model Preserved Learning Jinfeng Yi, Jun Wang, Rong Jin

ICML 2014 Two-Stage Metric Learning Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis

ECCV 2014 Which Looks like Which: Exploring Inter-Class Relationships in Fine-Grained Visual Categorization Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue

ICCV 2013 Large-Scale Video Hashing via Structure Learning Guangnan Ye, Dong Liu, Jun Wang, Shih-Fu Chang

ICCV 2013 Learning Hash Codes with Listwise Supervision Jun Wang, Wei Liu, Andy X. Sun, Yu-Gang Jiang

IJCAI 2013 Multiple Task Learning Using Iteratively Reweighted Least Square Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue

JMLR 2013 Semi-Supervised Learning Using Greedy Max-Cut Jun Wang, Tony Jebara, Shih-Fu Chang

JAIR 2013 Single Network Relational Transductive Learning Amit Dhurandhar, Jun Wang

AISTATS 2012 A Metric Learning Perspective of SVM: On the Relation of LMNN and SVM Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica

ICML 2012 Compact Hyperplane Hashing with Bilinear Functions Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang

UAI 2012 Fast Graph Construction Using Auction Algorithm Jun Wang, Yinglong Xia

ECML-PKDD 2012 Learning Neighborhoods for Metric Learning Jun Wang, Adam Woznica, Alexandros Kalousis

NeurIPS 2012 Parametric Local Metric Learning for Nearest Neighbor Classification Jun Wang, Alexandros Kalousis, Adam Woznica

CVPR 2012 Supervised Hashing with Kernels Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shih-Fu Chang

CVPR 2011 Efficient Euclidean Distance Transform Using Perpendicular Bisector Segmentation Jun Wang, Ying Tan

ICML 2011 Hashing with Graphs Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang

NeurIPS 2011 Metric Learning with Multiple Kernels Jun Wang, Huyen T. Do, Adam Woznica, Alexandros Kalousis

CVPR 2010 Semi-Supervised Hashing for Scalable Image Retrieval Jun Wang, Ondrej Kumar, Shih-Fu Chang

ICML 2010 Sequential Projection Learning for Hashing with Compact Codes Jun Wang, Sanjiv Kumar, Shih-Fu Chang

ICCV 2009 Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah Ngo

ICML 2009 Graph Construction and B-Matching for Semi-Supervised Learning Tony Jebara, Jun Wang, Shih-Fu Chang

CVPR 2009 Label Diagnosis Through Self Tuning Forweb Image Search Jun Wang, Yu-Gang Jiang, Shih-Fu Chang

CVPR 2008 Active Microscopic Cellular Image Annotation by Superposable Graph Transduction with Imbalanced Labels Jun Wang, Shih-Fu Chang, Xiaobo Zhou, Stephen T. C. Wong

AAAI 2008 Generating Application-Specific Benchmark Models for Complex Systems Jun Wang, Gregory M. Provan

ICML 2008 Graph Transduction via Alternating Minimization Jun Wang, Tony Jebara, Shih-Fu Chang

IJCAI 2007 Automated Benchmark Model Generators for Model-Based Diagnostic Inference Gregory M. Provan, Jun Wang

CVPR 2006 3D Facial Expression Recognition Based on Primitive Surface Feature Distribution Jun Wang, Lijun Yin, Xiaozhou Wei, Yi Sun

CVPR 2005 Detecting and Tracking Eyes Through Dynamic Terrain Feature Matching Jun Wang, Lijun Yin

CVPRW 2005 Detecting and Tracking Eyes Through Dynamic Terrain Feature Matching Jun Wang, Lijun Yin

CVPR 2004 From Fragments to Salient Closed Boundaries: An In-Depth Study Song Wang, Jun Wang, Toshiro Kubota

ICML 2000 Solving the Multiple-Instance Problem: A Lazy Learning Approach Jun Wang, Jean-Daniel Zucker