Wang, Kun

91 publications

ICLR 2026 AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems? Guibin Zhang, Junhao Wang, Junjie Chen, Wangchunshu Zhou, Kun Wang, Shuicheng Yan

ICLR 2026 AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong Zheng, Xuechao Zou, Lionel Z. Wang, Shun Zhang, Xingjian Du, Hanjun Luo, Yingbin Jin, Xinxin Xing, Ziyang Ma, Yue Liu, YiFan Zhang, Junfeng Fang, Kun Wang, Yibo Yan, Gelei Deng, Haoyang Li, Yiming Li, Xiaobin Zhuang, Tianlong Chen, Qingsong Wen, Tianwei Zhang, Yang Liu, Haibo Hu, Zhizheng Wu, Xiaolin Hu, Eng Siong Chng, Wenyuan Xu, XiaoFeng Wang, Wei Dong, Xinfeng Li

ICLR 2026 DiffuGuard: How Intrinsic Safety Is Lost and Found in Diffusion Large Language Models Zherui Li, Zheng Nie, Zhenhong Zhou, Yue Liu, Yitong Zhang, Yu Cheng, Qingsong Wen, Kun Wang, Yufei Guo, Jiaheng Zhang

ICLR 2026 FLUX-Reason-6m & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Rongyao Fang, Aldrich Yu, Chengqi Duan, Linjiang Huang, Shuai Bai, Yuxuan Cai, Kun Wang, Si Liu, Xihui Liu, Hongsheng Li

ICLR 2026 GoT-R1: Unleashing Reasoning Capability of Autoregressive Visual Generation with Reinforcement Learning Chengqi Duan, Rongyao Fang, Yuqing Wang, Kun Wang, Linjiang Huang, Xingyu Zeng, Hongsheng Li, Xihui Liu

ICLR 2026 Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems Zherui Li, Yan Mi, Zhenhong Zhou, Houcheng Jiang, Guibin Zhang, Kun Wang, Junfeng Fang

ICLR 2026 MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems Kun Wang, Guibin Zhang, ManKit Ye, Xinyu Deng, Dongxia Wang, Xiaobin Hu, Jinyang Guo, Yang Liu, Yufei Guo

ICLR 2026 MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models Fan Zhang, Zebang Cheng, Chong Deng, Haoxuan Li, Zheng Lian, Qian Chen, Huadai Liu, Wen Wang, YiFan Zhang, Renrui Zhang, Ziyu Guo, Zhihong Zhu, Hao Wu, Haixin Wang, Yefeng Zheng, Xiaojiang Peng, Xian Wu, Kun Wang, Xiangang Li, Jieping Ye, Pheng-Ann Heng

ICLR 2026 OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment Liang Lin, Zhihao Xu, Junhao Dong, Jian Zhao, Yuchen Yuan, Guibin Zhang, Miao Yu, Yiming Zhang, Zhengtao Yao, Huahui Yi, Haichuan Tang, Dongrui Liu, Xinfeng Li, Kun Wang

ICLR 2026 Reliable Evaluation of MRI Motion Correction: Dataset and Insights Kun Wang, Tobit Klug, Stefan Ruschke, Jan Kirschke, Reinhard Heckel

ICLR 2026 Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks Yi Yu, Qixin Zhang, Shuhan Ye, Xun Lin, Qianshan Wei, Kun Wang, Wenhan Yang, Dacheng Tao, Xudong Jiang

ICLR 2026 Towards Self-Evolving Agent Benchmarks : Validatable Agent Trajectory via Test-Time Exploration Dadi Guo, Tianyi Zhou, Dongrui Liu, Chen Qian, Qihan Ren, Shuai Shao, Zhiyuan Fan, Yi R. Fung, Kun Wang, Linfeng Zhang, Jing Shao

ICLR 2026 Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning Zhisheng Chen, Yingwei Zhang, Qizhen Lan, Tianyu Liu, Huacan Wang, Yi Ding, Ziyu Jia, Ronghao Chen, Kun Wang, Xinliang Zhou

ALT 2025 A Complete Characterization of Learnability for Stochastic Noisy Bandits Steve Hanneke, Kun Wang

NeurIPS 2025 AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents Hanjun Luo, Shenyu Dai, Chiming Ni, Xinfeng Li, Guibin Zhang, Kun Wang, Tongliang Liu, Hanan Salam

ICLR 2025 AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua

NeurIPS 2025 Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models Haolang Lu, Yilian Liu, Jingxin Xu, Guoshun Nan, Yuanlong Yu, Zhican Chen, Kun Wang

NeurIPS 2025 Breaking the Discretization Barrier of Continuous Physics Simulation Learning Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao

NeurIPS 2025 Can LLMs Outshine Conventional Recommenders? a Comparative Evaluation Qijiong Liu, Jieming Zhu, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu

NeurIPS 2025 CellVerse: Do Large Language Models Really Understand Cell Biology? Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng

CVPR 2025 Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Zhiqiang Yan, Zhengxue Wang, Kun Wang, Jun Li, Jian Yang

ICLR 2025 Cut the Crap: An Economical Communication Pipeline for LLM-Based Multi-Agent Systems Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen

AAAI 2025 Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video Junkai Fan, Kun Wang, Zhiqiang Yan, Xiang Chen, Shangbing Gao, Jun Li, Jian Yang

ICML 2025 Discovering Latent Causal Graphs from Spatiotemporal Data Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yian Ma, Rose Yu

ICLRW 2025 ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models via Error Detection Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, YiFan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen

ICLRW 2025 FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi

ICML 2025 G-Designer: Architecting Multi-Agent Communication Topologies via Graph Neural Networks Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng

ICLRW 2025 G-Designer: Architecting Multi-Agent Communication Topologies via Graph Neural Networks Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng

NeurIPS 2025 G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Guibin Zhang, Muxin Fu, Kun Wang, Guancheng Wan, Miao Yu, Shuicheng Yan

NeurIPS 2025 GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing Rongyao Fang, Chengqi Duan, Kun Wang, Linjiang Huang, Hao Li, Hao Tian, Shilin Yan, Weihao Yu, Xingyu Zeng, Jifeng Dai, Xihui Liu, Hongsheng Li

ICLR 2025 Graph Sparsification via Mixture of Graphs Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan

NeurIPS 2025 GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi

NeurIPS 2025 Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality Junyan Liu, Ziyun Chen, Kun Wang, Haipeng Luo, Lillian J. Ratliff

NeurIPS 2025 Improving Deep Learning for Accelerated MRI with Data Filtering Kang Lin, Anselm Krainovic, Kun Wang, Reinhard Heckel

ICML 2025 KGMark: A Diffusion Watermark for Knowledge Graphs Hongrui Peng, Haolang Lu, Yuanlong Yu, Weiye Fu, Kun Wang, Guoshun Nan

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 MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios That Are Difficult for Humans? YiFan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin

ICLR 2025 Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu

ICML 2025 Multi-Agent Architecture Search via Agentic Supernet Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang

ICLR 2025 On the Role of Attention Heads in Large Language Model Safety Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li

ICML 2025 OneForecast: A Universal Framework for Global and Regional Weather Forecasting Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Ray Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Li Qing, Hui Xiong, Xiaomeng Huang

ICLR 2025 Open-CK: A Large Multi-Physics Fields Coupling Benchmarks in Combustion Kinetics Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu, Yang Wang

ICCV 2025 PUMA: Empowering Unified MLLM with Multi-Granular Visual Generation Rongyao Fang, Chengqi Duan, Kun Wang, Hao Li, Linjiang Huang, Hao Tian, Xingyu Zeng, Rui Zhao, Jifeng Dai, Hongsheng Li, Xihui Liu

NeurIPS 2025 Seg-VAR:Image Segmentation with Visual Autoregressive Modeling Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Hengshuang Zhao

NeurIPS 2025 Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains Qiankun Li, Feng He, Huabao Chen, Xin Ning, Kun Wang, Zengfu Wang

AAAI 2025 UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang

ICCV 2025 ViLLa: Video Reasoning Segmentation with Large Language Model Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Hengshuang Zhao

AAAI 2024 AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang

NeurIPS 2024 Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model Yifan Duan, Jian Zhao, Pengcheng, Junyuan Mao, Hao Wu, Jingyu Xu, Shilong Wang, Caoyuan Ma, Kai Wang, Kun Wang, Xuelong Li

NeurIPS 2024 DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain Kun Wang, Zhiqiang Yan, Junkai Fan, Wanlu Zhu, Xiang Li, Jun Li, Jian Yang

CVPR 2024 Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance Junkai Fan, Jiangwei Weng, Kun Wang, Yijun Yang, Jianjun Qian, Jun Li, Jian Yang

NeurIPS 2024 Dueling over Dessert, Mastering the Art of Repeated Cake Cutting Simina Brânzei, MohammadTaghi Hajiaghayi, Reed Phillips, Suho Shin, Kun Wang

AAAI 2024 Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang

NeurIPS 2024 GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang

ICML 2024 Gradient-Based Visual Explanation for Transformer-Based CLIP Chenyang Zhao, Kun Wang, Xingyu Zeng, Rui Zhao, Antoni B. Chan

ICLR 2024 Graph Lottery Ticket Automated Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang

ICLR 2024 Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-Tailed Learning Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang

CoRL 2024 Learning Differentiable Tensegrity Dynamics Using Graph Neural Networks Nelson Chen, Kun Wang, William R. Johson Iii, Rebecca Kramer-Bottiglio, Kostas Bekris, Mridul Aanjaneya

NeurIPS 2024 MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI Tobit Klug, Kun Wang, Stefan Ruschke, Reinhard Heckel

ECCV 2024 Multi-Scale Cross Distillation for Object Detection in Aerial Images Kun Wang, Zi Wang, Zhang Li, Xichao Teng, Yang Li

ICLR 2024 NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang, Yang Wang

IJCAI 2024 Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and a Data-Driven Approach Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

ICML 2024 Prometheus: Out-of-Distribution Fluid Dynamics Modeling with Disentangled Graph ODE Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye, Yangyu Tao, Chong Chen, Xian-Sheng Hua, Xiao Luo

NeurIPS 2024 SyncVIS: Synchronized Video Instance Segmentation Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao

NeurIPS 2024 Towards Neuron Attributions in Multi-Modal Large Language Models Junfeng Fang, Zongze Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua

IJCAI 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang

CVPR 2024 Tri-Perspective View Decomposition for Geometry-Aware Depth Completion Zhiqiang Yan, Yuankai Lin, Kun Wang, Yupeng Zheng, Yufei Wang, Zhenyu Zhang, Jun Li, Jian Yang

ICML 2024 Two Heads Are Better than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen

NeurIPSW 2024 Uncovering Latent Causal Structures from Spatiotemporal Data Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yian Ma, Rose Yu

CVPRW 2023 An Effective Crop-Paste Pipeline for Few-Shot Object Detection Shaobo Lin, Kun Wang, Xingyu Zeng, Rui Zhao

NeurIPS 2023 Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann

AAAI 2023 DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang

ICML 2023 Distortion and Uncertainty Aware Loss for Panoramic Depth Completion Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang

CVPRW 2023 Explore the Power of Synthetic Data on Few-Shot Object Detection Shaobo Lin, Kun Wang, Xingyu Zeng, Rui Zhao

ICLR 2023 Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang

CVPR 2023 Siamese DETR Zeren Chen, Gengshi Huang, Wei Li, Jianing Teng, Kun Wang, Jing Shao, Chen Change Loy, Lu Sheng

NeurIPS 2023 TMT-VIS: Taxonomy-Aware Multi-Dataset Joint Training for Video Instance Segmentation Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao

ECCV 2022 Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang

ECCV 2022 RigNet: Repetitive Image Guided Network for Depth Completion Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang

ECCV 2022 X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao

NeurIPS 2021 Exploring Forensic Dental Identification with Deep Learning Yuan Liang, Weikun Han, Liang Qiu, Chen Wu, Yiting Shao, Kun Wang, Lei He

AAAI 2021 Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-Ray Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, Lei He

ICCV 2021 Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang

L4DC 2020 A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines Kun Wang, Mridul Aanjaneya, Kostas Bekris

ECCV 2020 Adapting Object Detectors with Conditional Domain Normalization Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu, Xiaogang Wang

AAAI 2020 Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations Kai Song, Kun Wang, Heng Yu, Yue Zhang, Zhongqiang Huang, Weihua Luo, Xiangyu Duan, Min Zhang

ACML 2020 Atlas-Aware ConvNet for Accurate yet Robust Anatomical Segmentation Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He

ECCV 2020 LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform Lida Li, Kun Wang, Shuai Li, Xiangchu Feng, Lei Zhang

ICCV 2017 Chained Cascade Network for Object Detection Wanli Ouyang, Kun Wang, Xin Zhu, Xiaogang Wang

ICCV 2017 Scene Graph Generation from Objects, Phrases and Region Captions Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, Xiaogang Wang

ECML-PKDD 2017 TransT: Type-Based Multiple Embedding Representations for Knowledge Graph Completion Shiheng Ma, Jianhui Ding, Weijia Jia, Kun Wang, Minyi Guo