Ye, Yanfang

44 publications

NeurIPS 2025 AutoData: A Multi-Agent System for Open Web Data Collection Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

AAAI 2025 AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks Shifu Hou, Rick Johnson, Ramandeep Makhija, Lingwei Chen, Yanfang Ye

ICML 2025 Beyond Message Passing: Neural Graph Pattern Machine Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

NeurIPS 2025 Generative Graph Pattern Machine Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye

ICML 2025 MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang

ICML 2025 Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

ICML 2024 From Coarse to Fine: Enable Comprehensive Graph Self-Supervised Learning with Multi-Granular Semantic Ensemble Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye

UAI 2024 GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Chuxu Zhang, Yanfang Ye

NeurIPS 2024 GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang, Zheyuan Zhang, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

NeurIPS 2024 How Does Message Passing Improve Collaborative Filtering? Clark Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao

ICLR 2024 Mitigating Emergent Robustness Degradation While Scaling Graph Learning Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

IJCAI 2024 Subgraph Pooling: Tackling Negative Transfer on Graphs Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

ECML-PKDD 2024 Symbolic Prompt Tuning Completes the App Promotion Graph Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Shang Ma, Chaoran Chen, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye

ICMLW 2024 TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones Zhengqing Yuan, Zhaoxu Li, Weiran Huang, Yanfang Ye, Lichao Sun

ICMLW 2023 A Head Start Matters: Dynamic-Calibrated Representation Alignment and Uniformity for Recommendations Zhongyu Ouyang, Shifu Hou, Chunhui Zhang, Chuxu Zhang, Yanfang Ye

ICLR 2023 Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh Chawla, Chuxu Zhang

NeurIPS 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-Time Augmentation Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye

AAAI 2023 Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye

TMLR 2023 Mind the Gap: Mitigating the Distribution Gap in Graph Few-Shot Learning Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang

ICLR 2023 Multi-Task Self-Supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang

NeurIPSW 2023 Prompt Learning Unlocked for App Promotion in the Wild Zhongyu Ouyang, Shifu Hou, Shang Ma, Chaoran Chen, Chunhui Zhang, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye

ICML 2023 When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

AAAI 2022 Adaptive Kernel Graph Neural Network Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao

NeurIPS 2022 Co-Modality Graph Contrastive Learning for Imbalanced Node Classification Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang

NeurIPSW 2022 Contrastive Graph Few-Shot Learning Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang

AAAI 2022 Disentangled Spatiotemporal Graph Generative Models Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao

NeurIPSW 2022 Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

IJCAI 2022 Few-Shot Learning on Graphs Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu

NeurIPSW 2022 Graph Contrastive Learning with Cross-View Reconstruction Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang

NeurIPS 2022 Multi-Objective Deep Data Generation with Correlated Property Control Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Petersen, Austin Leitgeb, Saleh Alkhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao

IJCAI 2022 Rx-Refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract) Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye

IJCAI 2021 Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang

AAAI 2021 Disentangled Representation Learning in Heterogeneous Information Network for Large-Scale Android Malware Detection in the COVID-19 Era and Beyond Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong, Fudong Shao

AAAI 2021 Heterogeneous Graph Structure Learning for Graph Neural Networks Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye

AAAI 2021 Knowledge-Aware Coupled Graph Neural Network for Social Recommendation Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye

NeurIPSW 2021 Learning Disentangled Representation for Spatiotemporal Graph Generation Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao

ECML-PKDD 2021 Multi-View Self-Supervised Heterogeneous Graph Embedding Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang

IJCAI 2020 Network Schema Preserving Heterogeneous Information Network Embedding Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye

AAAI 2019 Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang

IJCAI 2019 Out-of-Sample Node Representation Learning for Heterogeneous Graph in Real-Time Android Malware Detection Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao

IJCAI 2019 iDev: Enhancing Social Coding Security by Cross-Platform User Identification Between GitHub and Stack Overflow Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu

IJCAI 2018 Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-Graph Based Similarities over Heterogeneous Information Network Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li

IJCAI 2018 Make Evasion Harder: An Intelligent Android Malware Detection System Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu