王锟｜上海大学｜学者主页

2026

TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models

Qianlong Xiang, Miao Zhang, Haoyu Zhang, Kun Wang, Junhui Hou, Liqiang Nie

arXiv preprint

2026

Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMs

Leitao Yuan, Qinghua Mao, Daizong Liu, Kun Wang, Wenjie Wang, Yan Teng, Jing Shao, Dongrui Liu

arXiv preprint

2026

Prisma-World: Camera-Controllable Multi-Agent Video World Model

Huiqiang Sun, Zhan Peng, Size Wu, Kun Wang, Kang Liao, Dianyi Wang, Xingyu Zeng, Sheng Jin, Yangguang Li, Zhiguo Cao, Ziwei Liu, Wei Li

arXiv preprint

2026

Magic-W0: A Structured World-Action Foundation Model for Physical Intelligence

Xuhua Chen, Zhenhan Yin, Yuan Zhang, Lingfeng Zhang, He Zheng, Tong Mu, Shun Zuo, Dian Zhou, Di Wu, Xuan Zhou, Shaojie Wan, Rongtian Shen, Qiulong Xu, Yiduo Li, Yinglong Wang, Yanqian Wang, Kun Wang, Tao Zhang

arXiv preprint

2026

Still There, No Longer Seen: Exposing Compression-Induced Risk in Large Vision-Language Models

Qiankun Li, Yuechen Zhang, Bowen Chen, Shilinlu Yan, Zhenhong Zhou, Kun Wang, Li Sun

arXiv preprint

2026

Remembering What Matters for Long-Horizon Robotic World Models

Hao Wu, Tianyu Shao, Shengju Qian, Yizhou Zhao, Fan Zhang, Penghao Zhao, Weiyan Wang, Yufei Huang, Fan Xu, Kun Wang, Xin Wang, Ming-Hsuan Yang, Yuxuan Liang

arXiv preprint

2026

GroundSight at GroundLM 2026 Shared Tasks: GoldenViewVQA

Kun Wang, Yupeng Hu, Ruping Cao, Hao Liu, Zhiran Li, Qianlong Xiang, Harry Cheng

arXiv preprint

2026

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

Dongrui Liu, Yu Li, Zhonghao Yang, Peng Wang, Guanxu Chen, Yuejin Xie, Qinghua Mao, Wanying Qu, Yanxu Zhu, Tianyi Zhou, Leitao Yuan, Zhijie Zheng, Qihao Lin, Yimin Wang, Haoyu Luo, Shuai Shao, Chen Qian, Qingyu Liu, Ling Tang, Ruiyang Qin, Qihan Ren, Junxiao Yang, Kun Wang, Zhiheng Xi, Linfeng Zhang, Ranjie Duan, Bo Zhang, Wenjie Wang, Wen Shen, Qiaosheng Zhang, Yan Teng, Chaochao Lu, Rui Mei, Man Li, Jialing Tao, Xi Lin, Tianhang Zheng, Yong Liu, Quanshi Zhang, Lei Zhu, Xingjun Ma, Junhua Liu, Hui Xue, Xiaoxiang Zuo, Xiangnan He, Chao Shen, Xianglong Liu, Minlie Huang, Jing Shao, Xia Hu

arXiv preprint

2026

SpatialUAV: Benchmarking Spatial Intelligence for Low-Altitude UAV Perception, Collaboration, and Motion

Haoyu Zhang, Meng Liu, Qianlong Xiang, Kun Wang, Yaowei Wang, Liqiang Nie

arXiv preprint

2026

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion

ShiYing Huang, Liang Lin, Yuer Li, Kaiwen Luo, Zhenhong Zhou, An Zhang, Junhao Dong, Kun Wang, Zhigang Zeng

arXiv preprint

2026

MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents

Zhengwei Xie, Zhisheng Chen, Ziyan Weng, Jinhan Li, Chenglong Li, Zikai Xiao, Jingwei Song, Jinhao Jing, Vireo Zhang, Kun Wang

arXiv preprint

2026

ClueTracer: Question-to-Vision Clue Tracing for Training-Free Hallucination Suppression in Multimodal Reasoning

Gongli Xi, Kun Wang, Zeming Gao, Huahui Yi, Haolang Lu, Ye Tian, Wendong Wang

arXiv preprint

2026

Disentangling Deception and Hallucination Failures in LLMs

Haolang Lu, Hongrui Peng, WeiYe Fu, Guoshun Nan, Xinye Cao, Xingrui Li, Hongcan Guo, Kun Wang

arXiv preprint

2026

Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence

Yuyuan Feng, Zhishang Xiang, Chaobin Yang, Qichao Ma, Zerui Chen, Yujing Zhang, Ke Huang, Chuanjie Wu, Zhaoxu Liu, Yili Wang, Xin He, Jiapu Wang, Zijin Hong, Hao Chen, Yuanchen Bei, Kun Wang, Shengyuan Chen, Ningyu Zhang, Enyan Dai, Linhao Luo, Qingyi Pan, Qi Wang, Wenqi Fan, Guangjing Wang, Na Zou, Yangqiu Song, Xin Wang, Zechao Li, Xia Hu, Qing Li, Xiao Huang, Zhihong Zhang, Jinsong Su, Qinggang Zhang, Yi Chang

arXiv preprint

2026

Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation

Zixuan Wang, Yuhong Chen, Yuxuan Zhu, Guidong Lei, Zhiluohan Guo, Yu Zhao, Kun Wang, Bangyang Hong, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, Hui Li

arXiv preprint

2026

Distance Is Not Enough: Forget-Retain Alignment Gap Predicts LLM Relearning Robustness

Yi Chen, Hanna Hsieh, Shuhong Liu, Chuanbo Hua, Zihan Ma, Kun Wang, Joo-Young Kim

arXiv preprint

2026

Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model

Jiahao Wu, Ning Lu, Shengcai Liu, Kun Wang, Yanting Yang, Baijiong Lin, Chen Jason Zhang, Li Qing, Ke Tang

arXiv preprint

2026

RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models

Hao Wu, Yuqi Li, Yuan Gao, Fan Xu, Fan Zhang, Kun Wang, Penghao Zhao, Qiufeng Wang, Yizhou Zhao, Weiyan Wang, Yingli Tian, Xian Wu, Xiaomeng Huang

arXiv preprint

2026

SafeEvo: Deciphering the Safety Alignment Mechanism and Evolution in Language Models

Miao Yu, Hao Huang, Lu Yuan, Yunpeng Li, Kun Wang, Zuming Jiang

arXiv preprint

2026

Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory

Minghao Guo, Qingyue Jiao, Xiujin Liu, Jianhong Pang, Ruimeng Yang, Naihao Xu, Liwei Che, Haochen Xue, Ziqi Wang, Xinying Cai, Jiaxuan Luo, Jiaxin Deng, Xuesong Ye, Jintao Qu, Wenyao Gao, Jingwen Gu, Chenyang Zhao, Shichun Liu, Guibin Zhang, Zefang Liu, Siyin Wang, Wujiang Xu, Danrui Li, Zeru Shi, Woongyeong Yeo, Shuang Liu, Wei-Chieh Huang, Weizhi Zhang, Tianyu Yang, Kangsan Kim, Yebowen Hu, Bowen Wen, Bowen Jiang, Haohao Su, Ming Yin, Sheldon Yu, Mian Zhang, Yuyan Chen, Hanrong Zhang, Kai Mei, Zihao Zhang, Mingyu Jin, Xi Zhu, Hengyi Wang, Tianxin Wei, Linyong Nan, Zhenwen Liang, Zhendong Chu, Ziqi Huang, Yongye Su, Sixun Dong, Shujian Liu, Kaiqu Liang, Jiaojiao Han, Zhaoye Fei, Kun Wang, Shihan Dou, Zhichun Guo, Xingjian Diao, Zeqi Gu, Heng Wang, Tao Feng, Cheng Qian, Hamid Palangi, Silei Xu, Xi Yun, Yi Zhu, Shilong Liu, Qingsong Wen, Sung Ju Hwang, Zuxuan Wu, Yu-Gang Jiang, Yiyu Shi, Dimitris N. Metaxas, Jiaxuan You, Julian McAuley, Mengdi Wang, Jiawei Han, Philip S. Yu, Ziyi Ye

arXiv preprint

2026

HearSay Benchmark: Do Audio LLMs Leak What They Hear?

Jin Wang, Liang Lin, Kaiwen Luo, Weiliu Wang, Yitian Chen, Moayad Aloqaily, Xuehai Tang, Zhenhong Zhou, Kun Wang, Li Sun, Qingsong Wen

arXiv preprint

2026

CSR-Bench: A Benchmark for Evaluating the Cross-modal Safety and Reliability of MLLMs

Yuxuan Liu, Yuntian Shi, Kun Wang, Haoting Shen, Kun Yang

arXiv preprint

2026

SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety

Zixuan Xu, Tiancheng He, Huahui Yi, Kun Wang, Xi Chen, Gongli Xi, Qiankun Li, Kang Li, Yang Liu, Zhigang Zeng

arXiv preprint

2026

Diagnosing Knowledge Conflict in Multimodal Long-Chain Reasoning

Jing Tang, Kun Wang, Haolang Lu, Hongjin Chen, KaiTao Chen, Zhongxiang Sun, Qiankun Li, Lingjuan Lyu, Guoshun Nan, Zhigang Zeng

arXiv preprint

2026

SafeSeek: Universal Attribution of Safety Circuits in Language Models

Miao Yu, Siyuan Fu, Moayad Aloqaily, Zhenhong Zhou, Safa Otoum, Xing fan, Kun Wang, Yufei Guo, Qingsong Wen

arXiv preprint

2026

From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs

Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su

arXiv preprint

2026

OneRank: Unified Transformer-Native Ranking Architecture for Multi-Task Recommendation

Jiakai Tang, Sunhao Dai, Kun Wang, Zhiluohan Guo, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Xu Chen, Jun Xu

arXiv preprint

2026

GeoAlign: Beyond Semantics with State-Guided Spatial Alignment in VLA Models

Yizhi Chen, Zhanxiang Cao, Xinyi Peng, Yixiao Zheng, Xiaxi Si, Yiheng Li, Liyun Yan, Keqi Zhu, Xueyun Chen, Shengcheng Fu, Tianyue Zhan, Yufei Jia, Jinming Yao, Yan Xie, Kun Wang, Cewu Lu, Yue Gao

arXiv preprint

2026

Streaming Hallucination Detection in Long Chain-of-Thought Reasoning

Haolang Lu, Minghui Pan, Ripeng Li, Guoshun Nan, Jialin Zhuang, Zijie Zhao, Zhongxiang Sun, Kun Wang, Yang Liu

arXiv preprint

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, Qing Li, Hui Xiong, Xiaomeng Huang

arXiv preprint

2025

Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering

Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia

arXiv preprint

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

arXiv preprint

2025

Generative Photographic Control for Scene-Consistent Video Cinematic Editing

Huiqiang Sun, Liao Shen, Zhan Peng, Kun Wang, Size Wu, Yuhang Zang, Tianqi Liu, Zihao Huang, Xingyu Zeng, Zhiguo Cao, Wei Li, Chen Change Loy

arXiv preprint

2025

OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System

Sunhao Dai, Jiakai Tang, Jiahua Wu, Kun Wang, Yuxuan Zhu, Bingjun Chen, Bangyang Hong, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Wenjie Wang, Xu Chen, Jun Xu, See-Kiong Ng

arXiv preprint

2025

Memory in the Age of AI Agents

Yuyang Hu, Shichun Liu, Yanwei Yue, Guibin Zhang, Boyang Liu, Fangyi Zhu, Jiahang Lin, Honglin Guo, Shihan Dou, Zhiheng Xi, Senjie Jin, Jiejun Tan, Yanbin Yin, Jiongnan Liu, Zeyu Zhang, Zhongxiang Sun, Yutao Zhu, Hao Sun, Boci Peng, Zhenrong Cheng, Xuanbo Fan, Jiaxin Guo, Xinlei Yu, Zhenhong Zhou, Zewen Hu, Jiahao Huo, Junhao Wang, Yuwei Niu, Yu Wang, Zhenfei Yin, Xiaobin Hu, Yue Liao, Qiankun Li, Kun Wang, Wangchunshu Zhou, Yixin Liu, Dawei Cheng, Qi Zhang, Tao Gui, Shirui Pan, Yan Zhang, Philip Torr, Zhicheng Dou, Ji-Rong Wen, Xuanjing Huang, Yu-Gang Jiang, Shuicheng Yan

arXiv preprint

2025

EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations

Xinyun Zhou, Xinfeng Li, Yinan Peng, Ming Xu, Xuanwang Zhang, Miao Yu, Yidong Wang, Xiaojun Jia, Kun Wang, Qingsong Wen, XiaoFeng Wang, Wei Dong

arXiv preprint

2025

Reallocating Attention Across Layers to Reduce Multimodal Hallucination

Haolang Lu, Bolun Chu, WeiYe Fu, Guoshun Nan, Junning Liu, Minghui Pan, Qiankun Li, Yi Yu, Hua Wang, Kun Wang

arXiv preprint

2025

A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen

arXiv preprint

2025

Seg-VAR: Image Segmentation with Visual Autoregressive Modeling

Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Hengshuang Zhao

arXiv preprint

2025

iAgent: LLM Agent as a Shield between User and Recommender Systems

Wujiang Xu, Yunxiao Shi, Zujie Liang, Xuying Ning, Kai Mei, Kun Wang, Xi Zhu, Min Xu, Yongfeng Zhang

arXiv preprint

2025

Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning

En Yu, Jie Lu, Kun Wang, Xiaoyu Yang, Guangquan Zhang

arXiv preprint

2025

BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting

Weiyan Wang, Xingjian Shi, Ruiqi Shu, Yuan Gao, Rui Ray Chen, Kun Wang, Fan Xu, Jinbao Xue, Shuaipeng Li, Yangyu Tao, Di Wang, Hao Wu, Xiaomeng Huang

arXiv preprint

2025

Advanced Long-term Earth System Forecasting

Hao Wu, Yuan Gao, Ruijian Gou, Xian Wu, Chuhan Wu, Huahui Yi, Johannes Brandstetter, Fan Xu, Kun Wang, Penghao Zhao, Hao Jia, Qi Song, Xinliang Liu, Juncai He, Shuhao Cao, Huanshuo Dong, Yanfei Xiang, Fan Zhang, Haixin Wang, Xingjian Shi, Qiufeng Wang, Shuaipeng Li, Ruobing Xie, Feng Tao, Yuxu Lu, Yu Guo, Yuntian Chen, Yuxuan Liang, Qingsong Wen, Wanli Ouyang, Deliang Chen, Niklas Boers, Xiaomeng Huang

arXiv preprint

2025

KGMark: A Diffusion Watermark for Knowledge Graphs

Hongrui Peng, Haolang Lu, Yuanlong Yu, Weiye Fu, Kun Wang, Guoshun Nan

arXiv preprint

2025

LIFEBench: Evaluating Length Instruction Following in Large Language Models

Wei Zhang, Zhenhong Zhou, Kun Wang, Junfeng Fang, Yuanhe Zhang, Rui Wang, Ge Zhang, Xavier Li, Li Sun, Lingjuan Lyu, Yang Liu, Sen Su

arXiv preprint

2025

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

arXiv preprint

2025

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

arXiv preprint

2025

Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models

Hao Wu, Yuan Gao, Xingjian Shi, Shuaipeng Li, Fan Xu, Fan Zhang, Zhihong Zhu, Weiyan Wang, Xiao Luo, Kun Wang, Xian Wu, Xiaomeng Huang

arXiv preprint

2025

Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge

Yunna Cai, Fan Wang, Haowei Wang, Kun Wang, Kailai Yang, Sophia Ananiadou, Moyan Li, Mingming Fan

arXiv preprint

2025

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, Yi-Fan 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

arXiv preprint

2025

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

arXiv preprint

2025

Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm

Dadi Guo, Tianyi Zhou, Dongrui Liu, Chen Qian, Qihan Ren, Shuai Shao, Zhiyuan Fan, Yi R. Fung, Kun Wang, Linfeng Zhang, Jing Shao

arXiv preprint

2025

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

arXiv preprint

2025

Backdoor Attribution: Elucidating and Controlling Backdoor in Language Models

Miao Yu, Zhenhong Zhou, Moayad Aloqaily, Kun Wang, Biwei Huang, Stephen Wang, Yueming Jin, Qingsong Wen

arXiv preprint

2025

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias

Hao Wu, Yuan Gao, Chang Liu, Fan Xu, Fan Zhang, Zhihong Zhu, Yuqi Li, Xian Wu, Yuxuan Liang, Li Liu, Qingsong Wen, Kun Wang, Yu Zheng, Xiaomeng Huang

arXiv preprint

2025

UniErase: Towards Balanced and Precise Unlearning in Language Models

Miao Yu, Liang Lin, Guibin Zhang, Xinfeng Li, Junfeng Fang, Xingrui Yu, Ivor Tsang, Ningyu Zhang, Kun Wang, Yang Wang

arXiv preprint

2025

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

arXiv preprint

2025

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search

Yize Zhang, Tianshu Wang, Sirui Chen, Kun Wang, Xingyu Zeng, Hongyu Lin, Xianpei Han, Le Sun, Chaochao Lu

arXiv preprint

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

arXiv preprint

2025

MIST: Towards Multi-dimensional Implicit BiaS Evaluation of LLMs for Theory of Mind

Yanlin Li, Hao Liu, Huimin Liu, Kun Wang, Yinwei Wei, Yupeng Hu

arXiv preprint

2025

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation

Yuan Gao, Hao Wu, Fan Xu, Yanfei Xiang, Ruijian Gou, Ruiqi Shu, Qingsong Wen, Xian Wu, Kun Wang, Xiaomeng Huang

arXiv preprint

2024

EXGC: Bridging Efficiency and Explainability in Graph Condensation

Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He

arXiv preprint

2024

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks

Yifan Duan, Guibin Zhang, Shilong Wang, Xiaojiang Peng, Wang Ziqi, Junyuan Mao, Hao Wu, Xinke Jiang, Kun Wang

arXiv preprint

2024

Backdoor Graph Condensation

Jiahao Wu, Ning Lu, Zeiyu Dai, Kun Wang, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang

arXiv preprint

2024

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

arXiv preprint

2024

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges

Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu

arXiv preprint

2024

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting

Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang

arXiv preprint

2024

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Yi-Fan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

arXiv preprint

2024

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Shi Jie, Xiang Wang, Xiangnan He, Tat-seng Chua

arXiv preprint

2024

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering

Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi

arXiv preprint

2024

MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models

Kaichen Huang, Jiahao Huo, Yibo Yan, Kun Wang, Yutao Yue, Xuming Hu

arXiv preprint

2024

PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Rongyao Fang, Chengqi Duan, Kun Wang, Hao Li, Hao Tian, Xingyu Zeng, Rui Zhao, Jifeng Dai, Hongsheng Li, Xihui Liu

arXiv preprint

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

arXiv preprint

2024

A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data

Feng Gu, Jie Lu, Zhen Fang, Kun Wang, Guangquan Zhang

arXiv preprint

2024

Discovering Latent Causal Graphs from Spatiotemporal Data

Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yi-An Ma, Rose Yu

arXiv preprint

2024

Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts

Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang

arXiv preprint

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

arXiv preprint

2023

Visual Self-paced Iterative Learning for Unsupervised Temporal Action Localization

Yupeng Hu, Han Jiang, Hao Liu, Kun Wang, Haoyu Tang, Liqiang Nie

arXiv preprint

2023

Causal-Story: Local Causal Attention Utilizing Parameter-Efficient Tuning For Visual Story Synthesis

Tianyi Song, Jiuxin Cao, Kun Wang, Bo Liu, Xiaofeng Zhang

arXiv preprint

2023

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field

Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang

arXiv preprint

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

arXiv preprint

2023

Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model

Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang

arXiv preprint

2018

Robustness of link prediction under network attacks

Kun Wang, Lunbo Li, Cunlai Pu

arXiv preprint

精选作品

期刊论文

Real-Time Trajectory Tracking with Conditional Random Field and Markov Chain

一种面向推荐系统的隐私保护图神经网络

A self-adaptive ensemble for user interest drift learning

数据流学习驱动的突发事件风险信息预警体系研究

Real-time data stream learning for emergency decision-making under uncertainty

Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation

Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift

预印本

TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models

Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMs

Prisma-World: Camera-Controllable Multi-Agent Video World Model

Magic-W0: A Structured World-Action Foundation Model for Physical Intelligence

Still There, No Longer Seen: Exposing Compression-Induced Risk in Large Vision-Language Models

Remembering What Matters for Long-Horizon Robotic World Models

GroundSight at GroundLM 2026 Shared Tasks: GoldenViewVQA

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

SpatialUAV: Benchmarking Spatial Intelligence for Low-Altitude UAV Perception, Collaboration, and Motion

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion

MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents

ClueTracer: Question-to-Vision Clue Tracing for Training-Free Hallucination Suppression in Multimodal Reasoning

Disentangling Deception and Hallucination Failures in LLMs

Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence

Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation

Distance Is Not Enough: Forget-Retain Alignment Gap Predicts LLM Relearning Robustness

Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model

RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models

SafeEvo: Deciphering the Safety Alignment Mechanism and Evolution in Language Models

Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory

HearSay Benchmark: Do Audio LLMs Leak What They Hear?

CSR-Bench: A Benchmark for Evaluating the Cross-modal Safety and Reliability of MLLMs

SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety

Diagnosing Knowledge Conflict in Multimodal Long-Chain Reasoning

SafeSeek: Universal Attribution of Safety Circuits in Language Models

From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs

OneRank: Unified Transformer-Native Ranking Architecture for Multi-Task Recommendation

GeoAlign: Beyond Semantics with State-Guided Spatial Alignment in VLA Models

Streaming Hallucination Detection in Long Chain-of-Thought Reasoning

OneForecast: A Universal Framework for Global and Regional Weather Forecasting

Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering

AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents

Generative Photographic Control for Scene-Consistent Video Cinematic Editing

OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System

Memory in the Age of AI Agents

EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations

Reallocating Attention Across Layers to Reduce Multimodal Hallucination

A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Seg-VAR: Image Segmentation with Visual Autoregressive Modeling

iAgent: LLM Agent as a Shield between User and Recommender Systems

Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning

BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting

Advanced Long-term Earth System Forecasting

KGMark: A Diffusion Watermark for Knowledge Graphs

LIFEBench: Evaluating Length Instruction Following in Large Language Models

DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark

Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models

Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models

AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models

Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm

MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems

Backdoor Attribution: Elucidating and Controlling Backdoor in Language Models

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias

UniErase: Towards Balanced and Precise Unlearning in Language Models

Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning

MIST: Towards Multi-dimensional Implicit BiaS Evaluation of LLMs for Theory of Mind

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation

EXGC: Bridging Efficiency and Explainability in Graph Condensation

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks

Backdoor Graph Condensation

On the Role of Attention Heads in Large Language Model Safety

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering