Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective. - Kun Wang 042; Yuxuan Liang; Pengkun Wang 001; Xu Wang 029; Pengfei Gu; Junfeng Fang; Yang Wang 015 (ICLR, 2023)

Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis. - Junfeng Fang; Wei Liu 005; Yuan Gao 020; Zemin Liu; An Zhang 003; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2023)

Cooperative Explanations of Graph Neural Networks. - Junfeng Fang; Xiang Wang 010; An Zhang 003; Zemin Liu; Xiangnan He 001; Tat-Seng Chua (WSDM, 2023)

MolTC: Towards Molecular Relational Modeling In Language Models. - Junfeng Fang; Shuai Zhang; Chang Wu 003; Zhengyi Yang 007; Zhiyuan Liu 001; Sihang Li 002; Kun Wang 056; Wenjie Du 003; Xiang Wang 010 (ACL (Findings), 2024)

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. - Guibin Zhang; Yanwei Yue; Kun Wang 056; Junfeng Fang; Yongduo Sui; Kai Wang 036; Yuxuan Liang; Dawei Cheng; Shirui Pan; Tianlong Chen 001 (ICML, 2024)

MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction. - Wenjie Du 003; Shuai Zhang; Di Wu 057; Jun Xia 001; Ziyuan Zhao; Junfeng Fang; Yang Wang 015 (IJCAI, 2024)

The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. - Kun Wang 056; Guohao Li 001; Shilong Wang 002; Guibin Zhang; Kai Wang 036; Yang You 001; Junfeng Fang; Xiaojiang Peng; Yuxuan Liang; Yang Wang 015 (KDD, 2024)

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. - Kun Wang 056; Guibin Zhang; Xinnan Zhang; Junfeng Fang; Xun Wu; Guohao Li 001; Shirui Pan; Wei Huang 034; Yuxuan Liang (KDD, 2024)

Towards Neuron Attributions in Multi-Modal Large Language Models. - Junfeng Fang; Zac Bi; Ruipeng Wang; Houcheng Jiang; Yuan Gao 020; Kun Wang 056; An Zhang 003; Jie Shi; Xiang Wang 010; Tat-Seng Chua (NeurIPS, 2024)

EXGC: Bridging Efficiency and Explainability in Graph Condensation. - Junfeng Fang; Xinglin Li; Yongduo Sui; Yuan Gao 020; Guibin Zhang; Kun Wang 056; Xiang Wang 010; Xiangnan He 001 (WWW, 2024)

Graph Anomaly Detection with Bi-level Optimization. - Yuan Gao 020; Junfeng Fang; Yongduo Sui; Yangyang Li; Xiang Wang 010; Huamin Feng; Yongdong Zhang 001 (WWW, 2024)

Invariant Graph Learning for Causal Effect Estimation. - Yongduo Sui; Caizhi Tang; Zhixuan Chu; Junfeng Fang; Yuan Gao 020; Qing Cui; Longfei Li; Jun Zhou 011; Xiang Wang 010 (WWW, 2024)

EXGC: Bridging Efficiency and Explainability in Graph Condensation. - Junfeng Fang; Xinglin Li; Yongduo Sui; Yuan Gao 015; Guibin Zhang; Kun Wang 056; Xiang Wang 010; Xiangnan He 001 (CoRR, 2024)

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Hongcheng Gao; Junfeng Fang; Xueqi Cheng (CoRR, 2024)

Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. - Miao Yu; Junyuan Mao; Guibin Zhang; Jingheng Ye; Junfeng Fang; Aoxiao Zhong; Yang Liu 018; Yuxuan Liang; Kun Wang 042; Qingsong Wen (CoRR, 2024)

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. - Junfeng Fang; Houcheng Jiang; Kun Wang 042; Yunshan Ma; Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (CoRR, 2024)

Text-guided Diffusion Model for 3D Molecule Generation. - Yanchen Luo; Junfeng Fang; Sihang Li 002; Zhiyuan Liu 001; Jiancan Wu; An Zhang 003; Wenjie Du 003; Xiang Wang 010 (CoRR, 2024)

Neuron-Level Sequential Editing for Large Language Models. - Houcheng Jiang; Junfeng Fang; Tianyu Zhang; An Zhang 003; Ruipeng Wang; Tao Liang; Xiang Wang 010 (CoRR, 2024)

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 042; Dawei Cheng (CoRR, 2024)

On the Role of Attention Heads in Large Language Model Safety. - Zhenhong Zhou; Haiyang Yu 003; Xinghua Zhang 001; Rongwu Xu; Fei Huang 002; Kun Wang 042; Yang Liu 005; Junfeng Fang; Yongbin Li (CoRR, 2024)

Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks. - Chen Zhou; Peng Cheng; Junfeng Fang; Yifan Zhang 004; Yibo Yan; Xiaojun Jia; Yanyan Xu; Kun Wang 042; Xiaochun Cao (CoRR, 2024)

Fortune favors the invariant: Enhancing GNNs' generalizability with Invariant Graph Learning. - Guibin Zhang; Yiqiao Chen; Shiyu Wang; Kun Wang 056; Junfeng Fang (Knowl. Based Syst., 2024)

Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts. - Kun Wang 056; Hao Wu 083; Guibin Zhang; Junfeng Fang; Yuxuan Liang; Yuankai Wu; Roger Zimmermann; Yang Wang 015 (IEEE Trans. Knowl. Data Eng., 2024)

Context-DPO: Aligning Language Models for Context-Faithfulness. - Baolong Bi; Shaohan Huang; Yiwei Wang 001; Tianchi Yang; Zihan Zhang; Haizhen Huang; Lingrui Mei; Junfeng Fang; Zehao Li; Furu Wei; Weiwei Deng; Feng Sun 008; et al. (ACL (Findings), 2025)

Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts. - Baolong Bi; Shenghua Liu; Lingrui Mei; Yiwei Wang 001; Junfeng Fang; Pengliang Ji; Xueqi Cheng (ACL (1), 2025)

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. - Jinghan He; Kuan Zhu; Haiyun Guo; Junfeng Fang; Zhenglin Hua; Yuheng Jia; Ming Tang 001; Tat-Seng Chua; Jinqiao Wang (ACL (1), 2025)

Neuron-Level Sequential Editing for Large Language Models. - Houcheng Jiang; Junfeng Fang; Tianyu Zhang; Baolong Bi; An Zhang 003; Ruipeng Wang; Tao Liang; Xiang Wang 010 (ACL (1), 2025)

Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models. - Jiaqi Li; Chuanyi Zhang; Miaozeng Du; Hui Zhang; Yongrui Chen 002; Qianshan Wei; Junfeng Fang; Ruipeng Wang; Sheng Bi; Guilin Qi (ACL (Findings), 2025)

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Junfeng Fang; Hongcheng Gao; Shiyu Ni; Xueqi Cheng (ICLR, 2025)

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. - Junfeng Fang; Houcheng Jiang; Kun Wang 056; Yunshan Ma; Jie Shi; Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (ICLR, 2025)

DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. - Jinghan Li; Yuan Gao; Jinda Lu; Junfeng Fang; Congcong Wen; Hui Lin; Xiang Wang 010 (ICLR, 2025)

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. - Zhiyuan Liu 001; Yanchen Luo; Han Huang; Enzhi Zhang; Sihang Li 002; Junfeng Fang; Yaorui Shi; Xiang Wang 010; Kenji Kawaguchi; Tat-Seng Chua (ICLR, 2025)

Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck. - Shuai Zhang; Junfeng Fang; Xuqiang Li; Hongxin Xiang; Alan Xia; Ye Wei; Wenjie Du 003; Yang Wang 015 (ICLR, 2025)

On the Role of Attention Heads in Large Language Model Safety. - Zhenhong Zhou; Haiyang Yu 003; Xinghua Zhang 001; Rongwu Xu; Fei Huang 002; Kun Wang 056; Yang Liu 005; Junfeng Fang; Yongbin Li (ICLR, 2025)

SEHG: Bridging Interpretability and Prediction in Self-Explainable Heterogeneous Graph Neural Networks. - Zhenhua Huang 002; Wenhao Zhou; Yufeng Li; Xiuyang Wu; Chengpei Xu; Junfeng Fang; Zhaohong Jia; Linyuan Lü; Feng Xia 001 (WWW, 2025)

Damage Analysis via Bidirectional Multi-Task Cascaded Multimodal Fusion. - Tao Liang; Siying Wu; Junfeng Fang; Guowu Yang; Wenya Wang 001; Fengmao Lv (WWW, 2025)

A Comprehensive Security Evaluation Framework for Chinese Large Language Models. - Yuli Yang; Zhenhua Huang 002; Zhaohong Jia; Junfeng Fang (WWW (Companion Volume), 2025)

Explainable and Efficient Editing for Large Language Models. - Tianyu Zhang; Junfeng Fang; Houcheng Jiang; Baolong Bi; Xiang Wang 010; Xiangnan He 001 (WWW, 2025)

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models. - Miao Yu; Junfeng Fang; Yingjie Zhou; Xing Fan; Kun Wang 056; Shirui Pan; Qingsong Wen (CoRR, 2025)

Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions. - Chenlu Ding; Jiancan Wu; Yancheng Yuan; Junfeng Fang; Cunchun Li; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. - Jinda Lu; Junkang Wu; Jinghan Li; Xiaojun Jia; Shuo Wang 008; Yifan Zhang 004; Junfeng Fang; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

Multi-agent Architecture Search via Agentic Supernet. - Guibin Zhang; Luyang Niu; Junfeng Fang; Kun Wang 056; Lei Bai 001; Xiang Wang 010 (CoRR, 2025)

AnyEdit: Edit Any Knowledge Encoded in Language Models. - Houcheng Jiang; Junfeng Fang; Ningyu Zhang 001; Guojun Ma; Mingyang Wan; Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (CoRR, 2025)

Reinforced Lifelong Editing for Language Models. - Zherui Li 001; Houcheng Jiang; Hao Chen; Baolong Bi; Zhenhong Zhou; Fei Sun; Junfeng Fang; Xiang Wang 010 (CoRR, 2025)

AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management. - Junyuan Mao; Fanci Meng; Yifan Duan; Miao Yu; Xiaojun Jia; Junfeng Fang; Yuxuan Liang; Kun Wang 056; Qingsong Wen (CoRR, 2025)

ACE: Concept Editing in Diffusion Models without Performance Degradation. - Ruipeng Wang; Junfeng Fang; Jiaqi Li; Hao Chen; Jie Shi; Kun Wang 056; Xiang Wang 010 (CoRR, 2025)

Multimodal Language Modeling for High-Accuracy Single Cell Transcriptomics Analysis and Generation. - Yaorui Shi; Jiaqi Yang; Sihang Li 002; Junfeng Fang; Cheng-Xiang Wang 001; Zhiyuan Liu 001; Yang Zhang (CoRR, 2025)

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Yilong Xu; Junfeng Fang; Lingrui Mei; Xueqi Cheng (CoRR, 2025)

SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models. - Junfeng Fang; Yukai Wang; Ruipeng Wang; Zijun Yao 005; Kun Wang 056; An Zhang 003; Xiang Wang 010; Tat-Seng Chua (CoRR, 2025)

REDEditing: Relationship-Driven Precise Backdoor Poisoning on Text-to-Image Diffusion Models. - Chongye Guo; Jinhu Fu; Junfeng Fang; Kun Wang 056; Guorui Feng (CoRR, 2025)

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. - Kun Wang 056; Guibin Zhang; Zhenhong Zhou; Jiahao Wu; Miao Yu; Shiqian Zhao; Chenlong Yin; Jinhu Fu; Yibo Yan; Hanjun Luo; Liang Lin; Zhihao Xu; et al. (CoRR, 2025)

Safety in Large Reasoning Models: A Survey. - Cheng Wang; Yue Liu 008; Baolong Li; Duzhen Zhang; Zhongzhi Li; Junfeng Fang (CoRR, 2025)

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning. - Yue Liu 008; Shengfang Zhai; Mingzhe Du; Yulin Chen; Tri Cao; Hongcheng Gao; Cheng Wang; Xinfeng Li; Kun Wang 056; Junfeng Fang; Jiaheng Zhang; Bryan Hooi (CoRR, 2025)

Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs. - Yaorui Shi; Sihang Li 002; Chang Wu 003; Zhiyuan Liu 001; Junfeng Fang; Hengxing Cai; An Zhang 003; Xiang Wang 010 (CoRR, 2025)

UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models. - Miao Yu; Liang Lin; Guibin Zhang; Xinfeng Li; Junfeng Fang; Ningyu Zhang 001; Kun Wang 056; Yang Wang 015 (CoRR, 2025)

Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation. - Zhenglin Hua; Jinghan He; Zijun Yao 002; Tianxu Han; Haiyun Guo; Yuheng Jia; Junfeng Fang (CoRR, 2025)

AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models. - Kai Li; Can Shen; Yile Liu; Jirui Han; Kelong Zheng; Xuechao Zou; Zhe Wang 019; Xingjian Du; Shun Zhang; Hanjun Luo; Yingbin Jin; Xinxin Xing; et al. (CoRR, 2025)

LIFEBench: Evaluating Length Instruction Following in Large Language Models. - Wei Zhang; Zhenhong Zhou; Junfeng Fang; Rongwu Xu; Kun Wang 056; Yuanhe Zhang; Rui Wang; Ge Zhang; Xinfeng Li; Li Sun 008; Lingjuan Lyu; Yang Liu; et al. (CoRR, 2025)

Advanced long-term earth system forecasting by learning the small-scale nature. - Hao Wu; Yuan Gao; Ruiqi Shu; Kun Wang 056; Ruijian Gou; Chuhan Wu; Xinliang Liu; Juncai He; Shuhao Cao; Junfeng Fang; Xingjian Shi; Feng Tao; et al. (CoRR, 2025)

Are Reasoning Models More Prone to Hallucination? - Zijun Yao 002; Yantao Liu; Yanxu Chen; Jianhui Chen; Junfeng Fang; Lei Hou 001; Juanzi Li; Tat-Seng Chua (CoRR, 2025)

Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems. - Zherui Li 001; Yan Mi; Zhenhong Zhou; Houcheng Jiang; Guibin Zhang; Kun Wang 056; Junfeng Fang (CoRR, 2025)

AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint. - Leheng Sheng; Changshuo Shen; Weixiang Zhao; Junfeng Fang; Xiaohao Liu; Zhenkai Liang; Xiang Wang 010; An Zhang 003; Tat-Seng Chua (CoRR, 2025)

Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs. - Houcheng Jiang; Zetong Zhao; Junfeng Fang; Haokai Ma; Ruipeng Wang; Yang Deng 002; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems. - Junfeng Fang; Zijun Yao 005; Ruipeng Wang; Haokai Ma; Xiang Wang 010; Tat-Seng Chua (CoRR, 2025)

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs. - Baolong Bi; Shenghua Liu; Xingzhang Ren; Dayiheng Liu; Junyang Lin; Yiwei Wang 001; Lingrui Mei; Junfeng Fang; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

Dynamic Multimodal Prototype Learning in Vision-Language Models. - Xingyu Zhu; Shuo Wang 008; Beier Zhu; Miaoge Li; Yunfan Li; Junfeng Fang; Zhicai Wang; Dongsheng Wang 003; Hanwang Zhang (CoRR, 2025)

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future. - Yidong Wang; Xin Wang; Cunxiang Wang; Junfeng Fang; Qiufeng Wang; Jianing Chu; Xuran Meng; Shuxun Yang; Libo Qin 001; Yue Zhang 004; Wei Ye 004; Shikun Zhang (CoRR, 2025)