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ORCIDJunfeng Fang
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2020 – today
- 2025
[c15]Tao Liang, Siying Wu, Junfeng Fang, Guowu Yang, Wenya Wang, Fengmao Lv:
Damage Analysis via Bidirectional Multi-Task Cascaded Multimodal Fusion. WWW 2025: 625-636- [c14]Zhenhua Huang, Wenhao Zhou, Yufeng Li, Xiuyang Wu, Chengpei Xu, Junfeng Fang, Zhaohong Jia, Linyuan Lü, Feng Xia:
SEHG: Bridging Interpretability and Prediction in Self-Explainable Heterogeneous Graph Neural Networks. WWW 2025: 1292-1304 - [c13]Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He:
Explainable and Efficient Editing for Large Language Models. WWW 2025: 1963-1976 - [i27]Miao Yu, Junfeng Fang, Yingjie Zhou, Xing Fan, Kun Wang, Shirui Pan, Qingsong Wen:
LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models. CoRR abs/2501.00055 (2025) - [i26]Chenlu Ding, Jiancan Wu, Yancheng Yuan, Junfeng Fang, Cunchun Li, Xiang Wang, Xiangnan He:
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions. CoRR abs/2502.01669 (2025) - [i25]Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He:
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. CoRR abs/2502.01943 (2025) - [i24]Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang:
Multi-agent Architecture Search via Agentic Supernet. CoRR abs/2502.04180 (2025) - [i23]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) - [i22]Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang:
Reinforced Lifelong Editing for Language Models. CoRR abs/2502.05759 (2025) - [i21]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) - [i20]Junyuan Mao, Fanci Meng, Yifan Duan, Miao Yu, Xiaojun Jia, Junfeng Fang, Yuxuan Liang, Kun Wang, Qingsong Wen:
AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management. CoRR abs/2503.04392 (2025) - [i19]Ruipeng Wang, Junfeng Fang, Jiaqi Li, Hao Chen, Jie Shi, Kun Wang, Xiang Wang:
ACE: Concept Editing in Diffusion Models without Performance Degradation. CoRR abs/2503.08116 (2025) - [i18]Yaorui Shi, Jiaqi Yang, Sihang Li, Junfeng Fang, Cheng-Xiang Wang, Zhiyuan Liu, Yang Zhang:
Multimodal Language Modeling for High-Accuracy Single Cell Transcriptomics Analysis and Generation. CoRR abs/2503.09427 (2025) - [i17]Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng:
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models. CoRR abs/2503.15888 (2025) - 2024
- [j1]Guibin Zhang, Yiqiao Chen, Shiyu Wang, Kun Wang, Junfeng Fang:
Fortune favors the invariant: Enhancing GNNs' generalizability with Invariant Graph Learning. Knowl. Based Syst. 292: 111620 (2024) - [c12]Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang:
MolTC: Towards Molecular Relational Modeling In Language Models. ACL (Findings) 2024: 1943-1958 - [c11]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. ICML 2024 - [c10]Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang:
MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction. IJCAI 2024: 5808-5816 - [c9]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. KDD 2024: 3152-3163 - [c8]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. KDD 2024: 3164-3175 - [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 - [c6]Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He:
EXGC: Bridging Efficiency and Explainability in Graph Condensation. WWW 2024: 721-732 - [c5]Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang:
Invariant Graph Learning for Causal Effect Estimation. WWW 2024: 2552-2562 - [c4]Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang:
Graph Anomaly Detection with Bi-level Optimization. WWW 2024: 4383-4394 - [i16]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR abs/2402.01242 (2024) - [i15]Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang:
MolTC: Towards Molecular Relational Modeling In Language Models. CoRR abs/2402.03781 (2024) - [i14]Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He:
EXGC: Bridging Efficiency and Explainability in Graph Condensation. CoRR abs/2402.05962 (2024) - [i13]Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang:
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts. CoRR abs/2402.05970 (2024) - [i12]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. CoRR abs/2406.12539 (2024) - [i11]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng:
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. CoRR abs/2409.10132 (2024) - [i10]Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen:
Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. CoRR abs/2410.01677 (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) - [i8]Yanchen Luo, Junfeng Fang, Sihang Li, Zhiyuan Liu, Jiancan Wu, An Zhang, Wenjie Du, Xiang Wang:
Text-guided Diffusion Model for 3D Molecule Generation. CoRR abs/2410.03803 (2024) - [i7]Houcheng Jiang, Junfeng Fang, Tianyu Zhang, An Zhang, Ruipeng Wang, Tao Liang, Xiang Wang:
Neuron-Level Sequential Editing for Large Language Models. CoRR abs/2410.04045 (2024) - [i6]Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang:
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. CoRR abs/2410.06549 (2024) - [i5]Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Dawei Cheng:
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. CoRR abs/2410.11782 (2024) - [i4]Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li:
On the Role of Attention Heads in Large Language Model Safety. CoRR abs/2410.13708 (2024) - [i3]Chen Zhou, Peng Cheng, Junfeng Fang, Yifan Zhang, Yibo Yan, Xiaojun Jia, Yanyan Xu, Kun Wang, Xiaochun Cao:
Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks. CoRR abs/2411.18288 (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) - [i1]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:
Context-DPO: Aligning Language Models for Context-Faithfulness. CoRR abs/2412.15280 (2024) - 2023
- [c3]Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang:
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective. ICLR 2023 - [c2]Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He:
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis. NeurIPS 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
Coauthor Index
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