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Junfeng Fang
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Publications
- 2026
[i60]Zhexin Zhang, Yida Lu, Junfeng Fang, Junxiao Yang
, Shiyao Cui, Hao Zhou, Fandong Meng, Jie Zhou, Hongning Wang, Minlie Huang, Tat-Seng Chua:
The Missing Half: Unveiling Training-time Implicit Safety Risks Beyond Deployment. CoRR abs/2602.04196 (2026)
[i58]Yonghui Yang, Wenjian Tao, Jilong Liu, Xingyu Zhu, Junfeng Fang, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua:
Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control. CoRR abs/2602.07340 (2026)
[i57]Jinghan He, Junfeng Fang, Feng Xiong, Zijun Yao, Fei Shen, Haiyun Guo, Jinqiao Wang, Tat-Seng Chua:
Active Zero: Self-Evolving Vision-Language Models through Active Environment Exploration. CoRR abs/2602.11241 (2026)
[i56]Ruipeng Wang, Yuxin Chen, Yukai Wang, Chang Wu, Junfeng Fang, Xiaodong Cai, Qi Gu, Hui Su, An Zhang, Xiang Wang, Xunliang Cai, Tat-Seng Chua:
AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition. CoRR abs/2602.11348 (2026)
[i55]Zhaoxin Wang, Jiaming Liang, Fengbin Zhu, Weixiang Zhao, Junfeng Fang, Jiayi Ji, Handing Wang, Tat-Seng Chua:
SafeNeuron: Neuron-Level Safety Alignment for Large Language Models. CoRR abs/2602.12158 (2026)
[i51]Junfeng Fang, Nachuan Chen, Houcheng Jiang, Dan Zhang, Fei Shen, Xiang Wang, Xiangnan He, Tat-Seng Chua:
NExT-Guard: Training-Free Streaming Safeguard without Token-Level Labels. CoRR abs/2603.02219 (2026)- 2025
[c36]Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang:
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. ACL (1) 2025: 3488-3501
[c27]Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. ICLR 2025
[c25]Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. ICLR 2025
[c21]Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AnyEdit: Edit Any Knowledge Encoded in Language Models. ICML 2025
[i46]Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Guojun Ma, Mingyang Wan, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AnyEdit: Edit Any Knowledge Encoded in Language Models. CoRR abs/2502.05628 (2025)
[i44]Zhiyuan Liu, Yanchen Luo, Han Huang
, Enzhi Zhang
, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. CoRR abs/2502.12638 (2025)
[i39]Junfeng Fang, Yukai Wang, Ruipeng Wang, Zijun Yao, Kun Wang, An Zhang, Xiang Wang, Tat-Seng Chua:
SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models. CoRR abs/2504.08813 (2025)
[i28]Zijun Yao, Yantao Liu, Yanxu Chen, Jianhui Chen, Junfeng Fang, Lei Hou, Juanzi Li, Tat-Seng Chua:
Are Reasoning Models More Prone to Hallucination? CoRR abs/2505.23646 (2025)
[i26]Leheng Sheng, Changshuo Shen, Weixiang Zhao, Junfeng Fang, Xiaohao Liu, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua:
AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint. CoRR abs/2506.07022 (2025)
[i24]Junfeng Fang, Zijun Yao, Ruipeng Wang, Haokai Ma, Xiang Wang, Tat-Seng Chua:
We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems. CoRR abs/2506.13666 (2025)- 2024
[c7]Junfeng Fang, Zac Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua:
Towards Neuron Attributions in Multi-Modal Large Language Models. NeurIPS 2024
[i9]Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. CoRR abs/2410.02355 (2024)
[i2]Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang:
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. CoRR abs/2412.13949 (2024)- 2023
[c1]Junfeng Fang
, Xiang Wang
, An Zhang
, Zemin Liu
, Xiangnan He
, Tat-Seng Chua
:
Cooperative Explanations of Graph Neural Networks. WSDM 2023: 616-624

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last updated on 2026-04-09 23:38 CEST by the dblp team
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