| 2026 | AAAI | Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions. | Yunhong He, Zhengqing Yuan, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye, Lichao Sun |
| 2026 | AAAI | 3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation. | Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun |
| 2026 | ACL | PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models. | Han Bao, Penghao Zhang, Yue Huang, Zhengqing Yuan, Yanchi Ru, S. U. Rui, Yujun Zhou, Xiangqi Wang, Kehan Guo, Nitesh V. Chawla, Yanfang Ye, Xiangliang Zhang |
| 2026 | ACL | What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context. | Zhongyu Ouyang, Qianlong Wen, Chunhui Zhang, Yanfang Ye, Soroush Vosoughi |
| 2026 | ACL | AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering. | Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye |
| 2026 | CHI | Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight. | Jingyu Tang, Chaoran Chen, Jiawen Li, Zhiping Zhang, Bingcan Guo, Ibrahim Khalilov, Simret Araya Gebreegziabher, Bingsheng Yao, Dakuo Wang, Yanfang Ye, Tianshi Li, Ziang Xiao, Yaxing Yao, Toby Jia-Jun Li |
| 2026 | CHI | My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom. | Jiayi Ye, Chaoran Chen, Yue Huang, Yanfang Ye, Toby Jia-Jun Li, Xiangliang Zhang |
| 2026 | EACL | Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use. | Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye |
| 2026 | EACL | NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering. | Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye |
| 2026 | EACL | MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference. | Zheyuan Zhang, Lin Ge, Hongjiang Li, Weicheng Zhu, Chuxu Zhang, Yanfang Ye |
| 2026 | WWW | IntraAI: Bridging Human-AI Understanding Through Intelligent Interface Design. | Han Bao, Yue Huang, Xiangliang Zhang, Yanfang Ye |
| 2026 | WWW | BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Model. | Xiaoyu Ma, Zhengqing Yuan, Zheyuan Zhang, Kaiwen Shi, Lichao Sun, Yanfang Ye |
| 2026 | WWW | Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance. | Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang, Yanfang Ye |
| 2025 | AAAI | 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 |
| 2025 | ACL | LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. | Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye |
| 2025 | ACL | NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. | Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye |
| 2025 | EMNLP | PsyScam: A Benchmark for Psychological Techniques in Real-World Scams. | Shang Ma, Tianyi Ma, Jiahao Liu, Wei Song, Zhenkai Liang, Xusheng Xiao, Yanfang Ye |
| 2025 | ICDM | Hypergraph Representation Learning with Adaptive Broadcasting and Receiving. | Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye |
| 2025 | ICML | 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 |
| 2025 | ICML | Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees. | Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye |
| 2025 | ICML | Beyond Message Passing: Neural Graph Pattern Machine. | Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye |
| 2025 | IUI | CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications. | Chaoran Chen, Daodao Zhou, Yanfang Ye, Toby Jia-Jun Li, Yaxing Yao |
| 2025 | KDD | Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. | Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li |
| 2025 | KDD | Graph Foundation Models: Challenges, Methods, and Open Questions. | Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh V. Chawla, Yanfang Ye |
| 2025 | KDD | MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. | Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye |
| 2025 | NAACL | Can LLMs Convert Graphs to Text-Attributed Graphs? | Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye |
| 2025 | NDSS | Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph. | Shang Ma, Chaoran Chen, Shao Yang, Shifu Hou, Toby Jia-Jun Li, Xusheng Xiao, Tao Xie, Yanfang Ye |
| 2025 | RecSys | Non-parametric Graph Convolution for Re-ranking in Recommendation Systems. | Zhongyu Ouyang, Mingxuan Ju, Soroush Vosoughi, Yanfang Ye |
| 2025 | UIST | Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. | Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li |
| 2025 | WSDM | Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning. | Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye |
| 2025 | WSDM | Training MLPs on Graphs without Supervision. | Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye |
| 2024 | CHI | An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors. | Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li |
| 2024 | ICLR | Mitigating Emergent Robustness Degradation while Scaling Graph Learning. | Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang |
| 2024 | ICML | 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 C. 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 Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | ICML | 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 |
| 2024 | IJCAI | Subgraph Pooling: Tackling Negative Transfer on Graphs. | Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye |
| 2024 | ICWSM | How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering? | Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Chuxu Zhang, Yanfang Ye |
| 2024 | KDD | Graph Cross Supervised Learning via Generalized Knowledge. | Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang |
| 2024 | KDD | Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. | Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye |
| 2024 | WWW | Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. | Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye |
| 2024 | UAI | GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning. | Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Chuxu Zhang, Yanfang Ye |
| 2023 | AAAI | 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 |
| 2023 | CIKM | A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. | Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye |
| 2023 | ECIR | Leveraging Comment Retrieval for Code Summarization. | Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye |
| 2023 | ICDM | Hypergraph Contrastive Learning for Drug Trafficking Community Detection. | Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. | Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang |
| 2023 | ICML | 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 |
| 2023 | WWW | Fair Graph Representation Learning via Diverse Mixture-of-Experts. | Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang |
| 2023 | WSDM | Self-Supervised Graph Structure Refinement for Graph Neural Networks. | Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye |
| 2022 | AAAI | Disentangled Spatiotemporal Graph Generative Models. | Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao |
| 2022 | AAAI | Adaptive Kernel Graph Neural Network. | Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao |
| 2022 | CIKM | Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. | Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang |
| 2022 | CIKM | Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. | Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang |
| 2022 | EMNLP | Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. | Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye |
| 2022 | IJCAI | Few-Shot Learning on Graphs. | Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu |
| 2022 | IJCAI | 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 |
| 2022 | IJCNN | Summarizing Source Code from Structure and Context. | Shifu Hou, Lingwei Chen, Yanfang Ye |
| 2022 | KDD | Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. | Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang |
| 2022 | KDD | Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. | Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang |
| 2022 | SDM | Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs. | Yiming Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang |
| 2022 | SDM | Heterogeneous Temporal Graph Neural Network. | Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye |
| 2021 | AAAI | 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 |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Heterogeneous Graph Structure Learning for Graph Neural Networks. | Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye |
| 2021 | CIKM | Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. | Lingwei Chen, Yujie Fan, Yanfang Ye |
| 2021 | CIKM | Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. | Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye |
| 2021 | CIKM | RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. | Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye |
| 2021 | IJCAI | Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. | Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang |
| 2021 | ISSTA | WebEvo: taming web application evolution via detecting semantic structure changes. | Fei Shao, Rui Xu, Wasif Arman Haque, Jingwei Xu, Ying Zhang, Wei Yang, Yanfang Ye, Xusheng Xiao |
| 2021 | KDD | Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection. | Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong |
| 2021 | KDD | Graph Representation Learning: Foundations, Methods, Applications and Systems. | Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu |
| 2021 | KDD | The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). | Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang |
| 2021 | WWW | Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. | Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth A. Loparo, Liang Zhao |
| 2020 | ACSAC | dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets. | Yiming Zhang, Yiyue Qian, Yujie Fan, Yanfang Ye, Xin Li, Qi Xiong, Fudong Shao |
| 2020 | CIKM | Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner. | Yanfang Ye, Yujie Fan, Shifu Hou, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo |
| 2020 | ICDM | Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. | Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao |
| 2020 | IJCAI | Network Schema Preserving Heterogeneous Information Network Embedding. | Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye |
| 2020 | KDD | Interpretable Deep Graph Generation with Node-edge Co-disentanglement. | Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye |
| 2020 | KDD | Multi-modal Network Representation Learning. | Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla |
| 2019 | AAAI | Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. | Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang |
| 2019 | CIKM | Untitled record | Shifu Hou, Yujie Fan, Yiming Zhang, Yanfang Ye, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao |
| 2019 | CIKM | Temporal Network Embedding with Micro- and Macro-dynamics. | Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye |
| 2019 | CIKM | HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. | Chuan Shi, Yanfang Ye, Jiawei Zhang |
| 2019 | CIKM | Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework. | Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi |
| 2019 | CIKM | Author Set Identification via Quasi-Clique Discovery. | Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye |
| 2019 | ICDM | Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. | Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu |
| 2019 | IJCAI | 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 |
| 2019 | IJCAI | 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 |
| 2019 | WWW | Heterogeneous Graph Attention Network. | Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu |
| 2019 | WWW | Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network. | Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong |
| 2018 | AAAI | Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter. | Yiming Zhang, Yujie Fan, Yanfang Ye, Xin Li, Erin L. Winstanley |
| 2018 | ACSAC | ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network. | Yanfang Ye, Shifu Hou, Lingwei Chen, Xin Li, Liang Zhao, Shouhuai Xu, Jiabin Wang, Qi Xiong |
| 2018 | IJCAI | 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 |
| 2018 | IJCAI | Make Evasion Harder: An Intelligent Android Malware Detection System. | Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu |
| 2018 | KDD | Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System. | Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu |
| 2017 | ACSAC | SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks. | Lingwei Chen, Shifu Hou, Yanfang Ye |
| 2017 | APWEB | An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. | Lingwei Chen, Shifu Hou, Yanfang Ye, Lifei Chen |
| 2017 | APWEB | Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection. | Shifu Hou, Lingwei Chen, Yanfang Ye, Lifei Chen |
| 2017 | CIKM | Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies. | Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li, Wanhong Zheng |
| 2017 | ICDM | Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT. | Yiming Zhang, Yujie Fan, Yanfang Ye, Xin Li, Wanhong Zheng |
| 2017 | KDD | HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network. | Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu |
| 2015 | WISE | Analyzing File-to-File Relation Network in Malware Detection. | Lingwei Chen, William Hardy, Yanfang Ye, Tao Li |
| 2011 | KDD | Combining file content and file relations for cloud based malware detection. | Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu |
| 2010 | KDD | Automatic malware categorization using cluster ensemble. | Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang |
| 2009 | KDD | Intelligent file scoring system for malware detection from the gray list. | Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li Wan |
| 2008 | AINA | A New Centroid-Based Classifier for Text Categorization. | Lifei Chen, Yanfang Ye, Qingshan Jiang |
| 2007 | KDD | IMDS: intelligent malware detection system. | Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye |