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2020 – today
- 2025
[c32]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- [c31]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. ACL (Findings) 2025: 10280-10300 - [c30]Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Hui Zhang, Yongrui Chen, Qianshan Wei, Junfeng Fang, Ruipeng Wang, Sheng Bi, Guilin Qi:
Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models. ACL (Findings) 2025: 12179-12200 - [c29]Houcheng Jiang, Junfeng Fang, Tianyu Zhang, Baolong Bi, An Zhang, Ruipeng Wang, Tao Liang, Xiang Wang:
Neuron-Level Sequential Editing for Large Language Models. ACL (1) 2025: 16678-16702 - [c28]Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Junfeng Fang, Pengliang Ji, Xueqi Cheng:
Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts. ACL (1) 2025: 17198-17208 - [c27]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng:
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. ICLR 2025 - [c26]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]Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang:
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. ICLR 2025 - [c24]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 - [c23]Shuai Zhang, Junfeng Fang, Xuqiang Li, Hongxin Xiang, Alan Xia, Ye Wei, Wenjie Du, Yang Wang:
Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck. ICLR 2025 - [c22]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. ICLR 2025 - [c21]Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang:
Reinforced Lifelong Editing for Language Models. ICML 2025 - [c20]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 - [c19]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. ICML 2025 - [c18]Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang:
Multi-agent Architecture Search via Agentic Supernet. ICML 2025 - [c17]Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng:
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. ICML 2025 - [c16]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 - [c15]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 - [c14]Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He:
Explainable and Efficient Editing for Large Language Models. WWW 2025: 1963-1976 - [c13]Yuli Yang, Zhenhua Huang, Zhaohong Jia, Junfeng Fang:
A Comprehensive Security Evaluation Framework for Chinese Large Language Models. WWW (Companion Volume) 2025: 2426-2433 - [i49]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) - [i48]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) - [i47]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) - [i46]Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang:
Multi-agent Architecture Search via Agentic Supernet. CoRR abs/2502.04180 (2025) - [i45]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]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) - [i43]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) - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]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) - [i37]Chongye Guo, Jinhu Fu, Junfeng Fang, Kun Wang, Guorui Feng:
REDEditing: Relationship-Driven Precise Backdoor Poisoning on Text-to-Image Diffusion Models. CoRR abs/2504.14554 (2025) - [i36]Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu:
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR abs/2504.15585 (2025) - [i35]Cheng Wang, Yue Liu, Baolong Li, Duzhen Zhang, Zhongzhi Li, Junfeng Fang:
Safety in Large Reasoning Models: A Survey. CoRR abs/2504.17704 (2025) - [i34]Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi:
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning. CoRR abs/2505.11049 (2025) - [i33]Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang:
Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs. CoRR abs/2505.11277 (2025) - [i32]Miao Yu, Liang Lin, Guibin Zhang, Xinfeng Li, Junfeng Fang, Ningyu Zhang, Kun Wang, Yang Wang:
UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models. CoRR abs/2505.15674 (2025) - [i31]Zhenglin Hua, Jinghan He, Zijun Yao, Tianxu Han, Haiyun Guo, Yuheng Jia, Junfeng Fang:
Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation. CoRR abs/2505.16146 (2025) - [i30]Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong Zheng, Xuechao Zou, Zhe Wang, Xingjian Du, Shun Zhang, Hanjun Luo, Yingbin Jin, Xinxin Xing, Ziyang Ma, Yue Liu, Xiaojun Jia, Yifan Zhang, Junfeng Fang, Kun Wang, Yibo Yan, Haoyang Li, Yiming Li, Xiaobin Zhuang, Yang Liu, Haibo Hu, Zhuo Chen, Zhizheng Wu, Xiaolin Hu, Eng-Siong Chng, XiaoFeng Wang, Wenyuan Xu, Wei Dong, Xinfeng Li:
AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models. CoRR abs/2505.16211 (2025) - [i29]Wei Zhang, Zhenhong Zhou, Junfeng Fang, Rongwu Xu, Kun Wang, Yuanhe Zhang, Rui Wang, Ge Zhang, Xinfeng Li, Li Sun, Lingjuan Lyu, Yang Liu, Sen Su:
LIFEBench: Evaluating Length Instruction Following in Large Language Models. CoRR abs/2505.16234 (2025) - [i28]Hao Wu, Yuan Gao, Ruiqi Shu, Kun Wang, Ruijian Gou, Chuhan Wu, Xinliang Liu, Juncai He, Shuhao Cao, Junfeng Fang, Xingjian Shi, Feng Tao, Qi Song, Shengxuan Ji, Yanfei Xiang, Yuze Sun, Jiahao Li, Fan Xu, Huanshuo Dong, Haixin Wang, Fan Zhang, Penghao Zhao, Xian Wu, Qingsong Wen, Deliang Chen, Xiaomeng Huang:
Advanced long-term earth system forecasting by learning the small-scale nature. CoRR abs/2505.19432 (2025) - [i27]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]Zherui Li, Yan Mi, Zhenhong Zhou, Houcheng Jiang, Guibin Zhang, Kun Wang, Junfeng Fang:
Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems. CoRR abs/2506.00509 (2025) - [i25]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]Houcheng Jiang, Zetong Zhao, Junfeng Fang, Haokai Ma, Ruipeng Wang, Yang Deng, Xiang Wang, Xiangnan He:
Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs. CoRR abs/2506.13285 (2025) - [i23]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) - [i22]Baolong Bi, Shenghua Liu, Xingzhang Ren, Dayiheng Liu, Junyang Lin, Yiwei Wang, Lingrui Mei, Junfeng Fang, Jiafeng Guo, Xueqi Cheng:
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs. CoRR abs/2507.03253 (2025) - [i21]Xingyu Zhu, Shuo Wang, Beier Zhu, Miaoge Li, Yunfan Li, Junfeng Fang, Zhicai Wang, Dongsheng Wang, Hanwang Zhang:
Dynamic Multimodal Prototype Learning in Vision-Language Models. CoRR abs/2507.03657 (2025) - [i20]Yidong Wang, Xin Wang, Cunxiang Wang, Junfeng Fang, Qiufeng Wang, Jianing Chu, Xuran Meng, Shuxun Yang, Libo Qin, Yue Zhang, Wei Ye, Shikun Zhang:
Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future. CoRR abs/2508.06026 (2025) - [i19]Yuchen Cai, Ding Cao, Xin Xu, Zijun Yao, Yuqing Huang, Zhenyu Tan, Benyi Zhang, Guiquan Liu, Junfeng Fang:
On Predictability of Reinforcement Learning Dynamics for Large Language Models. CoRR abs/2510.00553 (2025) - [i18]Houcheng Jiang, Junfeng Fang, Jiaxin Wu, Tianyu Zhang, Chen Gao, Yong Li, Xiang Wang, Xiangnan He, Yang Deng:
Contrastive Weak-to-strong Generalization. CoRR abs/2510.07884 (2025) - [i17]Chang Wu, Zhiyuan Liu, Wen Shu, Liang Wang, Yanchen Luo, Wenqiang Lei, Yatao Bian, Junfeng Fang, Xiang Wang:
3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding. CoRR abs/2510.16780 (2025) - 2024
- [j2]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) - [j1]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. IEEE Trans. Knowl. Data Eng. 36(8): 4050-4062 (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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