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Junfeng Fang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

39

Venues

10

Active years

2023–2026

Best venue rank

A*

Where they publish

Papers

39 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIHierarchical Semantic Alignment for Image Clustering.Xingyu Zhu, Beier Zhu, Yunfan Li, Junfeng Fang, Shuo Wang, Kesen Zhao, Hanwang Zhang
2026ACLMitigating Hallucinations in Large Vision-Language Models without Performance Degradation.Xingyu Zhu, Junfeng Fang, Shuo Wang, Beier Zhu, Zhicai Wang, Yonghui Yang, Xiangnan He
2026WWWRMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors.Miaomiao Cai, Zhijie Zhang, Junfeng Fang, Zhiyong Cheng, Xiang Wang, Meng Wang
2026WWWTask-Aligned Unlearning for Multimodal Large Language Models.Tianyu Zhang, Chenlu Ding, Junfeng Fang, Jiancan Wu, Xiang Wang
2026WWWLPEdit: Locality-Preserving Knowledge Editing for MultiModal Large Language Models.Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Xingyu Zhu, Xiang Wang, Xiangnan He
2025ACLContext-DPO: Aligning Language Models for Context-Faithfulness.Baolong Bi, Shaohan Huang, Yiwei Wang, Tianchi Yang, Zihan Zhang, Haizhen Huang, Lingrui Mei, Junfeng Fang, Zehao Li, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Shenghua Liu
2025ACLDecoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts.Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Junfeng Fang, Pengliang Ji, Xueqi Cheng
2025ACLCracking 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, Tat-Seng Chua, Jinqiao Wang
2025ACLNeuron-Level Sequential Editing for Large Language Models.Houcheng Jiang, Junfeng Fang, Tianyu Zhang, Baolong Bi, An Zhang, Ruipeng Wang, Tao Liang, Xiang Wang
2025ACLForget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models.Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Hui Zhang, Yongrui Chen, Qianshan Wei, Junfeng Fang, Ruipeng Wang, Sheng Bi, Guilin Qi
2025EMNLPKnowledge Graph-Driven Memory Editing with Directional Interventions.Jinhu Fu, Kun Wang, Chongye Guo, Junfeng Fang, Wentao Zhang, Sen Su
2025EMNLPSteering LVLMs via Sparse Autoencoder for Hallucination Mitigation.Zhenglin Hua, Jinghan He, Zijun Yao, Tianxu Han, Haiyun Guo, Yuheng Jia, Junfeng Fang
2025EMNLPSafety in Large Reasoning Models: A Survey.Cheng Wang, Yue Liu, Baolong Bi, Duzhen Zhang, Zhong-Zhi Li, Yingwei Ma, Yufei He, Shengju Yu, Xinfeng Li, Junfeng Fang, Jiaheng Zhang, Bryan Hooi
2025ICCVDynamic 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
2025ICLRIs 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
2025ICLRAlphaEdit: 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
2025ICLRDiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector.Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang
2025ICLRNExT-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
2025ICLRIterative 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
2025ICLROn 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
2025ICMLReinforced Lifelong Editing for Language Models.Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang
2025ICMLAnyEdit: Edit Any Knowledge Encoded in Language Models.Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua
2025ICMLDAMA: 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
2025ICMLMulti-agent Architecture Search via Agentic Supernet.Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang
2025ICMLG-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
2025WWWSEHG: Bridging Interpretability and Prediction in Self-Explainable Heterogeneous Graph Neural Networks.Zhenhua Huang, Wenhao Zhou, Yufeng Li, Xiuyang Wu, Chengpei Xu, Junfeng Fang, Zhaohong Jia, Linyuan L, Feng Xia
2025WWWDamage Analysis via Bidirectional Multi-Task Cascaded Multimodal Fusion.Tao Liang, Siying Wu, Junfeng Fang, Guowu Yang, Wenya Wang, Fengmao Lv
2025WWWA Comprehensive Security Evaluation Framework for Chinese Large Language Models.Yuli Yang, Zhenhua Huang, Zhaohong Jia, Junfeng Fang
2025WWWExplainable and Efficient Editing for Large Language Models.Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He
2024ACLMolTC: Towards Molecular Relational Modeling In Language Models.Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang
2024ICMLTwo 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
2024IJCAIMMGNN: 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
2024KDDThe Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field.Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang
2024KDDThe Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs.Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang
2024WWWEXGC: Bridging Efficiency and Explainability in Graph Condensation.Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
2024WWWGraph Anomaly Detection with Bi-level Optimization.Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang
2024WWWInvariant Graph Learning for Causal Effect Estimation.Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang
2023ICLRSearching Lottery Tickets in Graph Neural Networks: A Dual Perspective.Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang
2023WSDMCooperative Explanations of Graph Neural Networks.Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua