Yanfang Ye - RankMe

245 papers A* 63A 25B 5Journal 121Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation. AAAI Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun
2026	J	`jnl`	A Survey of Weight Space Learning: Understanding, Representation, and Generation. CoRR Xiaolong Han, Zehong Wang, Bo Zhao, Binchi Zhang, Jundong Li, Damian Borth, Rose Yu, Haggai Maron, Yanfang Ye, Lu Yin, Ferrante Neri
2026	J	`jnl`	BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs. CoRR Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era. CoRR Zhengqing Yuan, Kaiwen Shi, Zheyuan Zhang, Lichao Sun, Nitesh V. Chawla, Yanfang Ye
2026	A*	`conf`	Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance. WWW Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	Correct and Weight: A Simple Yet Effective Loss for Implicit Feedback Recommendation. CoRR Minglei Yin, Chuanbo Hu, Bin Liu, Neil Zhenqiang Gong, Yanfang Ye, Xin Li
2026	A*	`conf`	Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight. CHI 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	J	`jnl`	Drift-Bench: Diagnosing Cooperative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction. CoRR Han Bao, Zheyuan Zhang, Pengcheng Jing, Zhengqing Yuan, Kaiwen Shi, Yanfang Ye
2026	J	`jnl`	EvoTaxo: Building and Evolving Taxonomy from Social Media Streams. CoRR Yiyang Li, Tianyi Ma, Yanfang Ye
2026	J	`jnl`	GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health. CoRR Jiatan Huang, Zheyuan Zhang, Tianyi Ma, Mingchen Li, Yaning Zheng, Yanfang Ye, Chuxu Zhang
2026	J	`jnl`	Graph is a Substrate Across Data Modalities. CoRR Ziming Li, Xiaoming Wu, Zehong Wang, Jiazheng Li, Yijun Tian, Jinhe Bi, Yunpu Ma, Yanfang Ye, Chuxu Zhang
2026	—	`conf`	Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use. EACL (Findings) Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	LongDA: Benchmarking LLM Agents for Long-Document Data Analysis. CoRR Yiyang Li, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2026	—	`conf`	MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference. EACL (Findings) Zheyuan Zhang, Lin Ge, Hongjiang Li, Weicheng Zhu, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	MedGPT-oss: Training a General-Purpose Vision-Language Model for Biomedicine. CoRR Kai Zhang, Zhengqing Yuan, Cheng Peng, Songlin Zhao, Mengxian Lyu, Ziyi Chen, Yanfang Ye, Wei Liu, Ying Zhang, Kaleb E. Smith, Lifang He, Lichao Sun, Yonghui Wu
2026	J	`jnl`	Molecular Representations in Implicit Functional Space via Hyper-Networks. CoRR Zehong Wang, Xiaolong Han, Qi Yang, Xiangru Tang, Fang Wu, Xiaoguang Guo, Weixiang Sun, Tianyi Ma, Pietro Lio, Le Cong, Sheng Wang, Chuxu Zhang, Yanfang Ye
2026	A*	`conf`	My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom. CHI Jiayi Ye, Chaoran Chen, Yue Huang, Yanfang Ye, Toby Jia-Jun Li, Xiangliang Zhang
2026	—	`conf`	NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering. EACL (Volume 1: Long Papers) Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	OPBench: A Graph Benchmark to Combat the Opioid Crisis. CoRR Tianyi Ma, Yiyang Li, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis. CoRR Yijun Ma, Zehong Wang, Weixiang Sun, Zheyuan Zhang, Kaiwen Shi, Nitesh V. Chawla, Yanfang Ye
2026	J	`jnl`	Position: General Alignment Has Hit a Ceiling; Edge Alignment Must Be Taken Seriously. CoRR Han Bao, Yue Huang, Xiaoda Wang, Zheyuan Zhang, Yujun Zhou, Carl Yang, Xiangliang Zhang, Yanfang Ye
2026	J	`jnl`	Temporal Graph Pattern Machine. CoRR Yijun Ma, Zehong Wang, Weixiang Sun, Yanfang Ye
2026	A*	`conf`	Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions. AAAI Yunhong He, Zhengqing Yuan, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye, Lichao Sun
2026	J	`jnl`	W2T: LoRA Weights Already Know What They Can Do. CoRR Xiaolong Han, Ferrante Neri, Zijian Jiang, Fang Wu, Yanfang Ye, Lu Yin, Zehong Wang
2026	J	`jnl`	Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents. CoRR Zehong Wang, Fang Wu, Hongru Wang, Xiangru Tang, Bolian Li, Zhenfei Yin, Yijun Ma, Yiyang Li, Weixiang Sun, Xiusi Chen, Yanfang Ye
2025	J	`jnl`	3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation. CoRR Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun
2025	J	`jnl`	Adaptive Expansion for Hypergraph Learning. CoRR Tianyi Ma, Yiyue Qian, Shinan Zhang, Chuxu Zhang, Yanfang Ye
2025	A	`conf`	Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning. WSDM Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Agent+P: Guiding UI Agents via Symbolic Planning. CoRR Shang Ma, Xusheng Xiao, Yanfang Ye
2025	J	`jnl`	AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering. CoRR Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	AutoData: A Multi-Agent System for Open Web Data Collection. CoRR Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2025	A*	`conf`	AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks. AAAI Shifu Hou, Rick Johnson, Ramandeep Makhija, Lingwei Chen, Yanfang Ye
2025	J	`jnl`	BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Models. CoRR Xiaoyu Ma, Zhengqing Yuan, Zheyuan Zhang, Kaiwen Shi, Lichao Sun, Yanfang Ye
2025	A*	`conf`	Beyond Message Passing: Neural Graph Pattern Machine. ICML Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	A	`conf`	CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications. IUI Chaoran Chen, Daodao Zhou, Yanfang Ye, Toby Jia-Jun Li, Yaxing Yao
2025	—	`conf`	Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL (Long Papers) Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2025	A*	`conf`	Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph. NDSS Shang Ma, Chaoran Chen, Shao Yang, Shifu Hou, Toby Jia-Jun Li, Xusheng Xiao, Tao Xie, Yanfang Ye
2025	J	`jnl`	Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance. CoRR Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight. CoRR 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
2025	J	`jnl`	EfficientLLM: Efficiency in Large Language Models. CoRR Zhengqing Yuan, Weixiang Sun, Yixin Liu, Huichi Zhou, Rong Zhou, Yiyang Li, Zheyuan Zhang, Wei Song, Yue Huang, Haolong Jia, Keerthiram Murugesan, Yu Wang, Lifang He, Jianfeng Gao, Lichao Sun, Yanfang Ye
2025	J	`jnl`	Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata. CoRR Zhengqing Yuan, Yiyang Li, Weixiang Sun, Zheyuan Zhang, Kaiwen Shi, Keerthiram Murugesan, Yanfang Ye
2025	J	`jnl`	Graph Foundation Models: A Comprehensive Survey. CoRR Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	—	`conf`	Graph Foundation Models: Challenges, Methods, and Open Questions. KDD (2) Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh V. Chawla, Yanfang Ye
2025	—	`conf`	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. KDD (2) Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. CoRR Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025	A*	`conf`	Hypergraph Representation Learning with Adaptive Broadcasting and Receiving. ICDM Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use. CoRR Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2025	—	`conf`	LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. ACL (Findings) Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. CoRR Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines. CoRR Yanfang Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V. Chawla
2025	J	`jnl`	MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference. CoRR Zheyuan Zhang, Lin Ge, Hongjiang Li, Weicheng Zhu, Chuxu Zhang, Yanfang Ye
2025	A*	`conf`	MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. ICML Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang
2025	J	`jnl`	MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. CoRR Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang
2025	—	`conf`	MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. KDD (1) 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	J	`jnl`	My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom. CoRR Jiayi Ye, Chaoran Chen, Yue Huang, Yanfang Ye, Toby Jia-Jun Li, Xiangliang Zhang
2025	J	`jnl`	NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering. CoRR Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2025	—	`conf`	NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. ACL (1) 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	J	`jnl`	Neural Graph Pattern Machine. CoRR Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	A	`conf`	Non-parametric Graph Convolution for Re-ranking in Recommendation Systems. RecSys Zhongyu Ouyang, Mingxuan Ju, Soroush Vosoughi, Yanfang Ye
2025	J	`jnl`	Non-parametric Graph Convolution for Re-ranking in Recommendation Systems. CoRR Zhongyu Ouyang, Mingxuan Ju, Soroush Vosoughi, Yanfang Ye
2025	—	`conf`	PsyScam: A Benchmark for Psychological Techniques in Real-World Scams. EMNLP (Findings) Shang Ma, Tianyi Ma, Jiahao Liu, Wei Song, Zhenkai Liang, Xusheng Xiao, Yanfang Ye
2025	J	`jnl`	PsyScam: A Benchmark for Psychological Techniques in Real-World Scams. CoRR Shang Ma, Tianyi Ma, Jiahao Liu, Wei Song, Zhenkai Liang, Xusheng Xiao, Yanfang Ye
2025	J	`jnl`	Scalable Graph Generative Modeling via Substructure Sequences. CoRR Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Semantic Refinement with LLMs for Graph Representations. CoRR Safal Thapaliya, Zehong Wang, Jiazheng Li, Ziming Li, Yanfang Ye, Chuxu Zhang
2025	J	`jnl`	The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections. CoRR Chaoran Chen, Zhiping Zhang, Bingcan Guo, Shang Ma, Ibrahim Khalilov, Simret Araya Gebreegziabher, Yanfang Ye, Ziang Xiao, Yaxing Yao, Tianshi Li, Toby Jia-Jun Li
2025	J	`jnl`	Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents. CoRR Chaoran Chen, Zhiping Zhang, Ibrahim Khalilov, Bingcan Guo, Simret Araya Gebreegziabher, Yanfang Ye, Ziang Xiao, Yaxing Yao, Tianshi Li, Toby Jia-Jun Li
2025	A*	`conf`	Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees. ICML Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Towards Human-like Preference Profiling in Sequential Recommendation. CoRR Zhongyu Ouyang, Qianlong Wen, Chunhui Zhang, Yanfang Ye, Soroush Vosoughi
2025	A	`conf`	Training MLPs on Graphs without Supervision. WSDM Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2025	A*	`conf`	Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. UIST Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li
2024	A*	`conf`	An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors. CHI Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li
2024	J	`jnl`	CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications. CoRR Chaoran Chen, Daodao Zhou, Yanfang Ye, Toby Jia-Jun Li, Yaxing Yao
2024	J	`jnl`	Can LLMs Convert Graphs to Text-Attributed Graphs? CoRR Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph. CoRR Shang Ma, Chaoran Chen, Shao Yang, Shifu Hou, Toby Jia-Jun Li, Xusheng Xiao, Tao Xie, Yanfang Ye
2024	A*	`conf`	Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. KDD Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. CoRR Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Vincent Galassi, Jasmine White, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	—	`conf`	Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. WWW (Companion Volume) Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2024	A*	`conf`	From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble. ICML Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye
2024	A	`conf`	GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning. UAI Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Chuxu Zhang, Yanfang Ye
2024	A*	`conf`	GFT: Graph Foundation Model with Transferable Tree Vocabulary. NeurIPS Zehong Wang, Zheyuan Zhang, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	GFT: Graph Foundation Model with Transferable Tree Vocabulary. CoRR Zehong Wang, Zheyuan Zhang, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	A*	`conf`	Graph Cross Supervised Learning via Generalized Knowledge. KDD Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2024	J	`jnl`	Graph Mining for Cybersecurity: A Survey. ACM Trans. Knowl. Discov. Data Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du
2024	A*	`conf`	How Does Message Passing Improve Collaborative Filtering? NeurIPS Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
2024	J	`jnl`	How Does Message Passing Improve Collaborative Filtering? CoRR Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
2024	A	`conf`	How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering? ICWSM Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	Knowledge-prompted ChatGPT: Enhancing drug trafficking detection on social media. Inf. Manag. Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye, Minglei Yin
2024	J	`jnl`	Learning Cross-Task Generalities Across Graphs via Task-trees. CoRR Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. CoRR 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
2024	A*	`conf`	Mitigating Emergent Robustness Degradation while Scaling Graph Learning. ICLR Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang
2024	J	`jnl`	NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. CoRR 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
2024	A*	`conf`	Position: TrustLLM: Trustworthiness in Large Language Models. ICML 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	J	`jnl`	Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? CoRR Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang
2024	A*	`conf`	Subgraph Pooling: Tackling Negative Transfer on Graphs. IJCAI Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2024	—	`conf`	Symbolic Prompt Tuning Completes the App Promotion Graph. ECML/PKDD (10) Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Shang Ma, Chaoran Chen, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation. CoRR Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lifang He, Lichao Sun
2024	J	`jnl`	Tackling Negative Transfer on Graphs. CoRR Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	Training MLPs on Graphs without Supervision. CoRR Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	TrustLLM: Trustworthiness in Large Language Models. CoRR Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, 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, 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, Yue Zhao
2024	J	`jnl`	ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. CoRR Zhengqing Yuan, Rong Zhou, Hongyi Wang, Lifang He, Yanfang Ye, Lichao Sun
2024	J	`jnl`	Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. CoRR Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li
2023	A	`conf`	A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. CIKM Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye
2023	J	`jnl`	A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
2023	J	`jnl`	An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox. CoRR Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li
2023	A*	`conf`	Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. ICLR Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2023	A*	`conf`	Fair Graph Representation Learning via Diverse Mixture-of-Experts. WWW Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang
2023	J	`jnl`	Fine-grained classification of drug trafficking based on Instagram hashtags. Decis. Support Syst. Chuanbo Hu, Bin Liu, Yanfang Ye, Xin Li
2023	J	`jnl`	Graph Mining for Cybersecurity: A Survey. CoRR Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du
2023	A*	`conf`	GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. NeurIPS Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
2023	J	`jnl`	GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. CoRR Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
2023	J	`jnl`	Heterogeneous Information Network Embedding With Adversarial Disentangler. IEEE Trans. Knowl. Data Eng. Ruijia Wang, Chuan Shi, Tianyu Zhao, Xiao Wang, Yanfang Ye
2023	A*	`conf`	Hypergraph Contrastive Learning for Drug Trafficking Community Detection. ICDM Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye
2023	A*	`conf`	Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. AAAI Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
2023	—	`conf`	Leveraging Comment Retrieval for Code Summarization. ECIR (2) Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye
2023	J	`jnl`	Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning. Trans. Mach. Learn. Res. Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
2023	A*	`conf`	Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. ICLR Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
2023	A	`conf`	Self-Supervised Graph Structure Refinement for Graph Neural Networks. WSDM Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
2023	J	`jnl`	Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media. CoRR Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye
2023	A*	`conf`	When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. ICML Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
2022	A	`conf`	Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs. SDM Yiming Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
2022	A*	`conf`	Adaptive Kernel Graph Neural Network. AAAI Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao
2022	J	`jnl`	Adversarial Cross-View Disentangled Graph Contrastive Learning. CoRR Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Black-box Node Injection Attack for Graph Neural Networks. CoRR Mingxuan Ju, Yujie Fan, Yanfang Ye, Liang Zhao
2022	A*	`conf`	Co-Modality Graph Contrastive Learning for Imbalanced Node Classification. NeurIPS Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Contrastive Graph Few-Shot Learning. CoRR Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
2022	A*	`conf`	Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. KDD Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
2022	A*	`conf`	Disentangled Spatiotemporal Graph Generative Models. AAAI Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
2022	J	`jnl`	Disentangled Spatiotemporal Graph Generative Models. CoRR Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
2022	J	`jnl`	Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. CoRR Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
2022	A*	`conf`	Few-Shot Learning on Graphs. IJCAI Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
2022	J	`jnl`	Few-Shot Learning on Graphs: A Survey. CoRR Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
2022	—	`conf`	Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
2022	J	`jnl`	Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
2022	A	`conf`	Heterogeneous Temporal Graph Neural Network. SDM Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
2022	J	`jnl`	Hyperbolic Graph Attention Network. IEEE Trans. Big Data Yiding Zhang, Xiao Wang, Chuan Shi, Xunqiang Jiang, Yanfang Ye
2022	J	`jnl`	Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. CoRR Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
2022	A	`conf`	Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. CIKM Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang
2022	A	`conf`	Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. CIKM Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang
2022	A*	`conf`	Multi-objective Deep Data Generation with Correlated Property Control. NeurIPS Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao
2022	J	`jnl`	Multi-objective Deep Data Generation with Correlated Property Control. CoRR Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao
2022	J	`jnl`	Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
2022	A*	`conf`	Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. KDD Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
2022	A*	`conf`	Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). IJCAI Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
2022	J	`jnl`	Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan
2022	B	`conf`	Summarizing Source Code from Structure and Context. IJCNN Shifu Hou, Lingwei Chen, Yanfang Ye
2021	J	`jnl`	A Framework for Enhancing Deep Neural Networks Against Adversarial Malware. IEEE Trans. Netw. Sci. Eng. Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu
2021	A*	`conf`	Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. IJCAI Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
2021	J	`jnl`	Adaptive Kernel Graph Neural Network. CoRR Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye
2021	A	`conf`	Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. CIKM Lingwei Chen, Yujie Fan, Yanfang Ye
2021	J	`jnl`	CoTexT: Multi-task Learning with Code-Text Transformer. CoRR Long N. Phan, Hieu Tran, Daniel Le, Hieu Nguyen, James T. Anibal, Alec Peltekian, Yanfang Ye
2021	A	`conf`	Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. CIKM Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
2021	J	`jnl`	Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. CoRR Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
2021	J	`jnl`	Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism. Proc. VLDB Endow. Tianxi Ji, Pan Li, Emre Yilmaz, Erman Ayday, Yanfang Ye, Jinyuan Sun
2021	A*	`conf`	Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond. AAAI Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong, Fudong Shao
2021	A*	`conf`	Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media. NeurIPS Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
2021	A*	`conf`	Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. WWW Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth A. Loparo, Liang Zhao
2021	J	`jnl`	Gophormer: Ego-Graph Transformer for Node Classification. CoRR Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye
2021	A*	`conf`	Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD 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	A*	`conf`	Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye
2021	J	`jnl`	Heterogeneous Temporal Graph Neural Network. CoRR Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye
2021	A*	`conf`	Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection. KDD Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong
2021	J	`jnl`	Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. CoRR Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
2021	J	`jnl`	Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. ACM Trans. Intell. Syst. Technol. Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
2021	A*	`conf`	Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021	J	`jnl`	Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021	J	`jnl`	Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph. IEEE Trans. Knowl. Data Eng. Qingzhe Li, Amir Alipour-Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, Liang Zhao
2021	—	`conf`	Multi-view Self-supervised Heterogeneous Graph Embedding. ECML/PKDD (2) Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang
2021	A	`conf`	RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. CIKM Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
2021	A*	`conf`	The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). KDD Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang
2021	A	`conf`	WebEvo: taming web application evolution via detecting semantic structure changes. ISSTA Fei Shao, Rui Xu, Wasif Arman Haque, Jingwei Xu, Ying Zhang, Wei Yang, Yanfang Ye, Xusheng Xiao
2020	J	`jnl`	$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States. IEEE J. Biomed. Health Informatics Yanfang Ye, Shifu Hou, Yujie Fan, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo
2020	J	`jnl`	A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. CoRR Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
2020	A	`conf`	Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner. CIKM Yanfang Ye, Yujie Fan, Shifu Hou, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo
2020	—	`conf`	Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub. ICKG Yiming Zhang, Yujie Fan, Shifu Hou, Yanfang Ye, Xusheng Xiao, Pan Li, Chuan Shi, Liang Zhao, Shouhuai Xu
2020	J	`jnl`	Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. IEEE Trans. Knowl. Data Eng. Liang Zhao, Feng Chen, Yanfang Ye
2020	J	`jnl`	Enhancing Deep Neural Networks Against Adversarial Malware Examples. CoRR Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu
2020	J	`jnl`	Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement. CoRR Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye
2020	A*	`conf`	Interpretable Deep Graph Generation with Node-edge Co-disentanglement. KDD Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye
2020	J	`jnl`	Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization. IEEE Trans. Computational Imaging Xuan Xu, Yanfang Ye, Xin Li
2020	A*	`conf`	Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. ICDM Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao
2020	A*	`conf`	Multi-modal Network Representation Learning. KDD Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla
2020	A*	`conf`	Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye
2020	J	`jnl`	SoK: Arms Race in Adversarial Malware Detection. CoRR Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu
2020	J	`jnl`	Survival neural networks for time-to-event prediction in longitudinal study. Knowl. Inf. Syst. Jianfei Zhang, Lifei Chen, Yanfang Ye, Gongde Guo, Rongbo Chen, Alain Vanasse, Shengrui Wang
2020	A	`conf`	dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets. ACSAC Yiming Zhang, Yiyue Qian, Yujie Fan, Yanfang Ye, Xin Li, Qi Xiong, Fudong Shao
2020	J	`jnl`	α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19. CoRR Yanfang Ye, Shifu Hou, Yujie Fan, Yiyue Qian, Yiming Zhang, Shiyu Sun, Qian Peng, Kenneth A. Loparo
2019	A	`conf`	Author Set Identification via Quasi-Clique Discovery. CIKM Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye
2019	A*	`conf`	Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. ICDM Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu
2019	A	`conf`	HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. CIKM Chuan Shi, Yanfang Ye, Jiawei Zhang
2019	A*	`conf`	Heterogeneous Graph Attention Network. WWW Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu
2019	J	`jnl`	Heterogeneous Graph Attention Network. CoRR Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye
2019	J	`jnl`	Hyperbolic Graph Attention Network. CoRR Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye
2019	A*	`conf`	Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. AAAI Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang
2019	J	`jnl`	Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization. CoRR Xuan Xu, Yanfang Ye, Xin Li
2019	A	`conf`	Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework. CIKM Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi
2019	A*	`conf`	Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection. IJCAI Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao
2019	A	`conf`	Temporal Network Embedding with Micro- and Macro-dynamics. CIKM Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
2019	J	`jnl`	Temporal Network Embedding with Micro- and Macro-dynamics. CoRR Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
2019	A*	`conf`	Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network. WWW Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong
2019	A*	`conf`	iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. IJCAI Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu
2019	B	`conf`	iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow. ASONAM Lingwei Chen, Shifu Hou, Yanfang Ye, Thirimachos Bourlai, Shouhuai Xu, Liang Zhao
2018	J	`jnl`	Adverse event detection by integrating twitter data and VAERS. J. Biomed. Semant. Junxiang Wang, Liang Zhao, Yanfang Ye, Yuji Zhang
2018	J	`jnl`	AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection. CoRR Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao
2018	A*	`conf`	Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network. IJCAI Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li
2018	J	`jnl`	DeepAM: a heterogeneous deep learning framework for intelligent malware detection. Knowl. Inf. Syst. Yanfang Ye, Lingwei Chen, Shifu Hou, William Hardy, Xin Li
2018	B	`conf`	DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks. ASONAM Lingwei Chen, Shifu Hou, Yanfang Ye, Shouhuai Xu
2018	J	`jnl`	Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge. CoRR Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu
2018	A*	`conf`	Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System. KDD Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu
2018	A	`conf`	ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network. ACSAC Yanfang Ye, Shifu Hou, Lingwei Chen, Xin Li, Liang Zhao, Shouhuai Xu, Jiabin Wang, Qi Xiong
2018	—	`conf`	KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network. ICBK Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, Qi Xiong, Fudong Shao
2018	A*	`conf`	Make Evasion Harder: An Intelligent Android Malware Detection System. IJCAI Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu
2018	—	`conf`	Semi-supervised Multi-instance Interpretable Models for Flu Shot Adverse Event Detection. IEEE BigData Junxiang Wang, Liang Zhao, Yanfang Ye
2018	—	`conf`	Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter. AAAI Workshops Yiming Zhang, Yujie Fan, Yanfang Ye, Xin Li, Erin L. Winstanley
2018	B	`conf`	iDetector: Automate Underground Forum Analysis Based on Heterogeneous Information Network. ASONAM Yiming Zhang, Yujie Fan, Shifu Hou, Jian Liu, Yanfang Ye, Thirimachos Bourlai
2017	J	`jnl`	A Survey on Malware Detection Using Data Mining Techniques. ACM Comput. Surv. Yanfang Ye, Tao Li, Donald A. Adjeroh, S. Sitharama Iyengar
2017	—	`conf`	Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense. EISIC Lingwei Chen, Yanfang Ye, Thirimachos Bourlai
2017	—	`conf`	An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. APWeb/WAIM Workshops Lingwei Chen, Shifu Hou, Yanfang Ye, Lifei Chen
2017	J	`jnl`	Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences. IEEE Trans. Neural Networks Learn. Syst. Gongde Guo, Lifei Chen, Yanfang Ye, Qingshan Jiang
2017	—	`conf`	Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection. APWeb/WAIM Workshops Shifu Hou, Lingwei Chen, Yanfang Ye, Lifei Chen
2017	B	`conf`	Deep Neural Networks for Automatic Android Malware Detection. ASONAM Shifu Hou, Aaron Saas, Lingwei Chen, Yanfang Ye, Thirimachos Bourlai
2017	—	`conf`	Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT. ICDM Workshops Yiming Zhang, Yujie Fan, Yanfang Ye, Xin Li, Wanhong Zheng
2017	A*	`conf`	HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network. KDD Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu
2017	—	`conf`	SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks. Australasian Conference on Artificial Intelligence Lingwei Chen, Yanfang Ye
2017	A	`conf`	SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks. ACSAC Lingwei Chen, Shifu Hou, Yanfang Ye
2017	A	`conf`	Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies. CIKM Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li, Wanhong Zheng
2016	—	`conf`	Automatic Detection of Helmet Uses for Construction Safety. WI Workshops Abu Hasnat Mohammad Rubaiyat, Tanjin Taher Toma, Masoumeh Kalantari Khandani, Syed Ashiqur Rahman, Lingwei Chen, Yanfang Ye, Christopher S. Pan
2016	—	`conf`	Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs. WI Workshops Shifu Hou, Aaron Saas, Lifei Chen, Yanfang Ye
2016	—	`conf`	DroidDelver: An Android Malware Detection System Using Deep Belief Network Based on API Call Blocks. WAIM Workshops Shifu Hou, Aaron Saas, Yanfang Ye, Lifei Chen
2016	J	`jnl`	FindMal: A file-to-file social network based malware detection framework. Knowl. Based Syst. Ming Ni, Tao Li, Qianmu Li, Hong Zhang, Yanfang Ye
2016	J	`jnl`	Kernel-based linear classification on categorical data. Soft Comput. Lifei Chen, Yanfang Ye, Gongde Guo, Jianping Zhu
2016	J	`jnl`	Malicious sequential pattern mining for automatic malware detection. Expert Syst. Appl. Yujie Fan, Yanfang Ye, Lifei Chen
2015	—	`conf`	Analyzing File-to-File Relation Network in Malware Detection. WISE (1) Lingwei Chen, William Hardy, Yanfang Ye, Tao Li
2015	—	`conf`	Cluster-oriented ensemble classifiers for intelligent malware detection. ICSC Shifu Hou, Lifei Chen, Egemen Tas, Igor Demihovskiy, Yanfang Ye
2015	—	`conf`	Intelligent malware detection based on file relation graphs. ICSC Lingwei Chen, Tao Li, Melih Abdulhayoglu, Yanfang Ye
2015	J	`jnl`	Soter: Smart Bracelets for Children's Safety. ACM Trans. Intell. Syst. Technol. Yanfang Ye, Tao Li, Haiyin Shen
2012	J	`jnl`	Ensemble Clustering for Internet Security Applications. IEEE Trans. Syst. Man Cybern. Part C Weiwei Zhuang, Yanfang Ye, Yong Chen, Tao Li
2011	A*	`conf`	Combining file content and file relations for cloud based malware detection. KDD Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu
2010	A*	`conf`	Automatic malware categorization using cluster ensemble. KDD Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
2010	J	`jnl`	CIMDS: Adapting Postprocessing Techniques of Associative Classification for Malware Detection. IEEE Trans. Syst. Man Cybern. Part C Yanfang Ye, Tao Li, Qingshan Jiang, Youyu Wang
2010	J	`jnl`	Hierarchical associative classifier (HAC) for malware detection from the large and imbalanced gray list. J. Intell. Inf. Syst. Yanfang Ye, Tao Li, Kai Huang, Qingshan Jiang, Yong Chen
2009	A*	`conf`	Intelligent file scoring system for malware detection from the gray list. KDD Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li Wan
2009	J	`jnl`	SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging. J. Comput. Virol. Yanfang Ye, Lifei Chen, Dingding Wang, Tao Li, Qingshan Jiang, Min Zhao
2008	—	`conf`	A New Centroid-Based Classifier for Text Categorization. AINA Workshops Lifei Chen, Yanfang Ye, Qingshan Jiang
2008	J	`jnl`	An intelligent PE-malware detection system based on association mining. J. Comput. Virol. Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye, Qingshan Jiang
2007	A*	`conf`	IMDS: intelligent malware detection system. KDD Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye