Fang, Junfeng

29 publications

ICLR 2026 AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint Leheng Sheng, Changshuo Shen, Weixiang Zhao, Junfeng Fang, Xiaohao Liu, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua

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 DualEdit: Mitigating Safety Fallback in LLM Backdoor Editing via Affirmation-Refusal Regulation Houcheng Jiang, Zetong Zhao, Junfeng Fang, Haokai Ma, Ruipeng Wang, Xiang Wang, Xiangnan He, Yang Deng

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 GuardAlign: Test-Time Safety Alignment in Multimodal Large Language Models Xingyu Zhu, Beier Zhu, Junfeng Fang, Shuo Wang, Yin Zhang, Xiang Wang, Xiangnan He

ICLR 2026 On Predictability of Reinforcement Learning Dynamics for Large Language Models Cai Yuchen, Ding Cao, Xin Xu, Zijun Yao, Yuqing Huang, 张本熠, Zhenyu Tan, Guiquan Liu, Junfeng Fang

ICLR 2026 Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng

NeurIPS 2025 3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-Mask Decoding Chang Wu, Zhiyuan Liu, Wen Shu, Liang Wang, Yanchen Luo, Wenqiang Lei, Yatao Bian, Junfeng Fang, Xiang Wang

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

ICML 2025 AnyEdit: Edit Any Knowledge Encoded in Language Models Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua

ICML 2025 DAMA: Data- and Model-Aware Alignment of Multi-Modal LLMs Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He

ICLR 2025 DiffGAD: A Diffusion-Based Unsupervised Graph Anomaly Detector Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang

ICCV 2025 Dynamic Multimodal Prototype Learning in Vision-Language Models Xingyu Zhu, Shuo Wang, Beier Zhu, Miaoge Li, Yunfan Li, Junfeng Fang, Zhicai Wang, Dongsheng Wang, Hanwang Zhang

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 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

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

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, Yang Wang

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

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

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

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 Reinforced Lifelong Editing for Language Models Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang

NeurIPS 2025 Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang

IJCAI 2024 MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang

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

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

NeurIPS 2023 Evaluating Post-Hoc Explanations for Graph Neural Networks via Robustness Analysis Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He

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