IMDS: intelligent malware detection system. - Yanfang Ye 001; Dingding Wang 001; Tao Li 001; Dongyi Ye (KDD, 2007)

A New Centroid-Based Classifier for Text Categorization. - Lifei Chen; Yanfang Ye 001; Qingshan Jiang (AINA Workshops, 2008)

An intelligent PE-malware detection system based on association mining. - Yanfang Ye 001; Dingding Wang 001; Tao Li 001; Dongyi Ye; Qingshan Jiang (J. Comput. Virol., 2008)

Intelligent file scoring system for malware detection from the gray list. - Yanfang Ye 001; Tao Li 001; Qingshan Jiang; Zhixue Han; Li Wan (KDD, 2009)

SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging. - Yanfang Ye 001; Lifei Chen; Dingding Wang 001; Tao Li 001; Qingshan Jiang; Min Zhao (J. Comput. Virol., 2009)

Automatic malware categorization using cluster ensemble. - Yanfang Ye 001; Tao Li 001; Yong Chen 016; Qingshan Jiang (KDD, 2010)

Hierarchical associative classifier (HAC) for malware detection from the large and imbalanced gray list. - Yanfang Ye 001; Tao Li 001; Kai Huang; Qingshan Jiang; Yong Chen 016 (J. Intell. Inf. Syst., 2010)

CIMDS: Adapting Postprocessing Techniques of Associative Classification for Malware Detection. - Yanfang Ye 001; Tao Li 001; Qingshan Jiang; Youyu Wang (IEEE Trans. Syst. Man Cybern. Part C, 2010)

Combining file content and file relations for cloud based malware detection. - Yanfang Ye 001; Tao Li 001; Shenghuo Zhu; Weiwei Zhuang; Egemen Tas; Umesh Gupta; Melih Abdulhayoglu (KDD, 2011)

Ensemble Clustering for Internet Security Applications. - Weiwei Zhuang; Yanfang Ye 001; Yong Chen 016; Tao Li 001 (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Intelligent malware detection based on file relation graphs. - Lingwei Chen; Tao Li 001; Melih Abdulhayoglu; Yanfang Ye 001 (ICSC, 2015)

Cluster-oriented ensemble classifiers for intelligent malware detection. - Shifu Hou; Lifei Chen; Egemen Tas; Igor Demihovskiy; Yanfang Ye 001 (ICSC, 2015)

Analyzing File-to-File Relation Network in Malware Detection. - Lingwei Chen; William Hardy; Yanfang Ye 001; Tao Li 001 (WISE (1), 2015)

Soter: Smart Bracelets for Children's Safety. - Yanfang Ye 001; Tao Li 001; Haiyin Shen (ACM Trans. Intell. Syst. Technol., 2015)

DroidDelver: An Android Malware Detection System Using Deep Belief Network Based on API Call Blocks. - Shifu Hou; Aaron Saas; Yanfang Ye 001; Lifei Chen (WAIM Workshops, 2016)

Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs. - Shifu Hou; Aaron Saas; Lifei Chen; Yanfang Ye 001 (WI Workshops, 2016)

Automatic Detection of Helmet Uses for Construction Safety. - Abu Hasnat Mohammad Rubaiyat; Tanjin Taher Toma; Masoumeh Kalantari Khandani; Syed Ashiqur Rahman; Lingwei Chen; Yanfang Ye 001; Christopher S. Pan (WI Workshops, 2016)

Malicious sequential pattern mining for automatic malware detection. - Yujie Fan; Yanfang Ye 001; Lifei Chen (Expert Syst. Appl., 2016)

FindMal: A file-to-file social network based malware detection framework. - Ming Ni; Tao Li 001; Qianmu Li; Hong Zhang 021; Yanfang Ye 001 (Knowl. Based Syst., 2016)

Kernel-based linear classification on categorical data. - Lifei Chen; Yanfang Ye 001; Gongde Guo; Jianping Zhu (Soft Comput., 2016)

SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks. - Lingwei Chen; Shifu Hou; Yanfang Ye 001 (ACSAC, 2017)

An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. - Lingwei Chen; Shifu Hou; Yanfang Ye 001; Lifei Chen (APWeb/WAIM Workshops, 2017)

Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection. - Shifu Hou; Lingwei Chen; Yanfang Ye 001; Lifei Chen (APWeb/WAIM Workshops, 2017)

Deep Neural Networks for Automatic Android Malware Detection. - Shifu Hou; Aaron Saas; Lingwei Chen; Yanfang Ye 001; Thirimachos Bourlai (ASONAM, 2017)

SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks. - Lingwei Chen; Yanfang Ye 001 (Australasian Conference on Artificial Intelligence, 2017)

Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies. - Yujie Fan; Yiming Zhang 002; Yanfang Ye 001; Xin Li 005; Wanhong Zheng (CIKM, 2017)

Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense. - Lingwei Chen; Yanfang Ye 001; Thirimachos Bourlai (EISIC, 2017)

Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT. - Yiming Zhang 002; Yujie Fan; Yanfang Ye 001; Xin Li 005; Wanhong Zheng (ICDM Workshops, 2017)

HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network. - Shifu Hou; Yanfang Ye 001; Yangqiu Song; Melih Abdulhayoglu (KDD, 2017)

A Survey on Malware Detection Using Data Mining Techniques. - Yanfang Ye 001; Tao Li 001; Donald A. Adjeroh; S. Sitharama Iyengar (ACM Comput. Surv., 2017)

Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences. - Gongde Guo; Lifei Chen; Yanfang Ye 001; Qingshan Jiang (IEEE Trans. Neural Networks Learn. Syst., 2017)

Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter. - Yiming Zhang 002; Yujie Fan; Yanfang Ye 001; Xin Li 005; Erin L. Winstanley (AAAI Workshops, 2018)

ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network. - Yanfang Ye 001; Shifu Hou; Lingwei Chen; Xin Li 005; Liang Zhao 002; Shouhuai Xu; Jiabin Wang; Qi Xiong (ACSAC, 2018)

DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks. - Lingwei Chen; Shifu Hou; Yanfang Ye 001; Shouhuai Xu (ASONAM, 2018)

iDetector: Automate Underground Forum Analysis Based on Heterogeneous Information Network. - Yiming Zhang 002; Yujie Fan; Shifu Hou; Jian Liu 001; Yanfang Ye 001; Thirimachos Bourlai (ASONAM, 2018)

Semi-supervised Multi-instance Interpretable Models for Flu Shot Adverse Event Detection. - Junxiang Wang; Liang Zhao 002; Yanfang Ye 001 (IEEE BigData, 2018)

KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network. - Yiming Zhang 002; Yujie Fan; Yanfang Ye 001; Liang Zhao 002; Jiabin Wang; Qi Xiong; Fudong Shao (ICBK, 2018)

Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network. - Yujie Fan; Yiming Zhang 002; Yanfang Ye 001; Xin Li 005 (IJCAI, 2018)

Make Evasion Harder: An Intelligent Android Malware Detection System. - Shifu Hou; Yanfang Ye 001; Yangqiu Song; Melih Abdulhayoglu (IJCAI, 2018)

Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System. - Yujie Fan; Shifu Hou; Yiming Zhang 002; Yanfang Ye 001; Melih Abdulhayoglu (KDD, 2018)

Adverse event detection by integrating twitter data and VAERS. - Junxiang Wang; Liang Zhao 002; Yanfang Ye 001; Yuji Zhang 001 (J. Biomed. Semant., 2018)

AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection. - Yanfang Ye 001; Shifu Hou; Lingwei Chen; Jingwei Lei; Wenqiang Wan; Jiabin Wang; Qi Xiong; Fudong Shao (CoRR, 2018)

Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge. - Deqiang Li; Qianmu Li; Yanfang Ye 001; Shouhuai Xu (CoRR, 2018)

DeepAM: a heterogeneous deep learning framework for intelligent malware detection. - Yanfang Ye 001; Lingwei Chen; Shifu Hou; William Hardy; Xin Li 005 (Knowl. Inf. Syst., 2018)

Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. - Yuyang Gao; Liang Zhao 002; Lingfei Wu 001; Yanfang Ye 001; Hui Xiong; Chaowei Yang (AAAI, 2019)

iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow. - Lingwei Chen; Shifu Hou; Yanfang Ye 001; Thirimachos Bourlai; Shouhuai Xu; Liang Zhao 002 (ASONAM, 2019)

αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model. - Shifu Hou; Yujie Fan; Yiming Zhang 002; Yanfang Ye 001; Jingwei Lei; Wenqiang Wan; Jiabin Wang; Qi Xiong; Fudong Shao (CIKM, 2019)

Temporal Network Embedding with Micro- and Macro-dynamics. - Yuanfu Lu; Xiao Wang 017; Chuan Shi 001; Philip S. Yu; Yanfang Ye 001 (CIKM, 2019)

HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. - Chuan Shi 001; Yanfang Ye 001; Jiawei Zhang 001 (CIKM, 2019)

Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework. - Yiming Zhang 002; Yujie Fan; Yanfang Ye 001; Liang Zhao 002; Chuan Shi 001 (CIKM, 2019)

Author Set Identification via Quasi-Clique Discovery. - Yuyan Zheng; Chuan Shi 001; Xiangnan Kong; Yanfang Ye 001 (CIKM, 2019)

Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. - Qingzhe Li; Liang Zhao 002; Yi-Ching Lee; Yanfang Ye 001; Jessica Lin 001; Lingfei Wu 001 (ICDM, 2019)

iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. - Yujie Fan; Yiming Zhang 002; Shifu Hou; Lingwei Chen; Yanfang Ye 001; Chuan Shi 001; Liang Zhao 002; Shouhuai Xu (IJCAI, 2019)

Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection. - Yanfang Ye 001; Shifu Hou; Lingwei Chen; Jingwei Lei; Wenqiang Wan; Jiabin Wang; Qi Xiong; Fudong Shao (IJCAI, 2019)

Heterogeneous Graph Attention Network. - Xiao Wang 017; Houye Ji; Chuan Shi 001; Bai Wang 001; Yanfang Ye 001; Peng Cui 001; Philip S. Yu (WWW, 2019)

Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network. - Yiming Zhang 002; Yujie Fan; Wei Song; Shifu Hou; Yanfang Ye 001; Xin Li 005; Liang Zhao 002; Chuan Shi 001; Jiabin Wang; Qi Xiong (WWW, 2019)

dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets. - Yiming Zhang 002; Yiyue Qian; Yujie Fan; Yanfang Ye 001; Xin Li 005; Qi Xiong; Fudong Shao (ACSAC, 2020)

Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner. - Yanfang Ye 001; Yujie Fan; Shifu Hou; Yiming Zhang 002; Yiyue Qian; Shiyu Sun; Qian Peng; Mingxuan Ju; Wei Song; Kenneth A. Loparo (CIKM, 2020)

Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub. - Yiming Zhang 002; Yujie Fan; Shifu Hou; Yanfang Ye 001; Xusheng Xiao; Pan Li 001; Chuan Shi 001; Liang Zhao 002; Shouhuai Xu (ICKG, 2020)

Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. - Yujie Fan; Yanfang Ye 001; Qian Peng; Jianfei Zhang 002; Yiming Zhang 002; Xusheng Xiao; Chuan Shi 001; Qi Xiong; Fudong Shao; Liang Zhao 002 (ICDM, 2020)

Network Schema Preserving Heterogeneous Information Network Embedding. - Jianan Zhao 002; Xiao Wang 017; Chuan Shi 001; Zekuan Liu; Yanfang Ye 001 (IJCAI, 2020)

Interpretable Deep Graph Generation with Node-edge Co-disentanglement. - Xiaojie Guo 002; Liang Zhao 002; Zhao Qin; Lingfei Wu 001; Amarda Shehu; Yanfang Ye 001 (KDD, 2020)

Multi-modal Network Representation Learning. - Chuxu Zhang; Meng Jiang 001; Xiangliang Zhang 001; Yanfang Ye 001; Nitesh V. Chawla (KDD, 2020)

α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19. - Yanfang Ye 001; Shifu Hou; Yujie Fan; Yiyue Qian; Yiming Zhang 002; Shiyu Sun; Qian Peng; Kenneth A. Loparo (CoRR, 2020)

Enhancing Deep Neural Networks Against Adversarial Malware Examples. - Deqiang Li; Qianmu Li; Yanfang Ye 001; Shouhuai Xu (CoRR, 2020)

SoK: Arms Race in Adversarial Malware Detection. - Deqiang Li; Qianmu Li; Yanfang Ye 001; Shouhuai Xu (CoRR, 2020)

Survival neural networks for time-to-event prediction in longitudinal study. - Jianfei Zhang 002; Lifei Chen; Yanfang Ye 001; Gongde Guo; Rongbo Chen; Alain Vanasse; Shengrui Wang (Knowl. Inf. Syst., 2020)

Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization. - Xuan Xu; Yanfang Ye 001; Xin Li 005 (IEEE Trans. Computational Imaging, 2020)

$ alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States. - Yanfang Ye 001; Shifu Hou; Yujie Fan; Yiming Zhang 002; Yiyue Qian; Shiyu Sun; Qian Peng; Mingxuan Ju; Wei Song; Kenneth A. Loparo (IEEE J. Biomed. Health Informatics, 2020)

Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. - Liang Zhao 002; Feng Chen 001; Yanfang Ye 001 (IEEE Trans. Knowl. Data Eng., 2020)

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 001; Wenqiang Wan; Kui Wang; Yinming Mei; Qi Xiong; Fudong Shao (AAAI, 2021)

Knowledge-aware Coupled Graph Neural Network for Social Recommendation. - Chao Huang 001; Huance Xu; Yong Xu 007; Peng Dai 001; Lianghao Xia; Mengyin Lu; Liefeng Bo; Hao Xing; Xiaoping Lai; Yanfang Ye 001 (AAAI, 2021)

Heterogeneous Graph Structure Learning for Graph Neural Networks. - Jianan Zhao 002; Xiao Wang 017; Chuan Shi 001; Binbin Hu; Guojie Song; Yanfang Ye 001 (AAAI, 2021)

Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. - Lingwei Chen; Yujie Fan; Yanfang Ye 001 (CIKM, 2021)

Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. - Chuanbo Hu; Minglei Yin; Bin Liu 045; Xin Li 005; Yanfang Ye 001 (CIKM, 2021)

RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. - Jianfei Zhang 002; Ai-Te Kuo; Jianan Zhao 002; Qianlong Wen; Erin L. Winstanley; Chuxu Zhang; Yanfang Ye 001 (CIKM, 2021)

Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. - Yiyue Qian; Yiming Zhang 002; Yanfang Ye 001; Chuxu Zhang (IJCAI, 2021)

WebEvo: taming web application evolution via detecting semantic structure changes. - Fei Shao; Rui Xu; Wasif Arman Haque; Jingwei Xu 004; Ying Zhang 012; Wei Yang 013; Yanfang Ye 001; Xusheng Xiao (ISSTA, 2021)

Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection. - Yujie Fan; Mingxuan Ju; Shifu Hou; Yanfang Ye 001; Wenqiang Wan; Kui Wang; Yinming Mei; Qi Xiong (KDD, 2021)

Graph Representation Learning: Foundations, Methods, Applications and Systems. - Wei Jin 009; Yao Ma 001; Yiqi Wang 001; Xiaorui Liu; Jiliang Tang; Yukuo Cen; Jiezhong Qiu; Jie Tang 001; Chuan Shi 001; Yanfang Ye 001; Jiawei Zhang 001; Philip S. Yu (KDD, 2021)

The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). - Chuan Shi 001; Yuan Fang 001; Yanfang Ye 001; Jiawei Zhang 001 (KDD, 2021)

Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media. - Yiyue Qian; Yiming Zhang 002; Yanfang Ye 001; Chuxu Zhang (NeurIPS, 2021)

Multi-view Self-supervised Heterogeneous Graph Embedding. - Jianan Zhao 002; Qianlong Wen; Shiyu Sun; Yanfang Ye 001; Chuxu Zhang (ECML/PKDD (2), 2021)

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 001; Yujie Fan; Shifu Hou; Kenneth A. Loparo; Liang Zhao 002 (WWW, 2021)

CoTexT: Multi-task Learning with Code-Text Transformer. - Long N. Phan; Hieu Tran; Daniel Le; Hieu Nguyen; James T. Anibal; Alec Peltekian; Yanfang Ye 001 (CoRR, 2021)

Gophormer: Ego-Graph Transformer for Node Classification. - Jianan Zhao 002; Chaozhuo Li; Qianlong Wen; Yiqi Wang 001; Yuming Liu; Hao Sun 015; Xing Xie 001; Yanfang Ye 001 (CoRR, 2021)

Heterogeneous Temporal Graph Neural Network. - Yujie Fan; Mingxuan Ju; Chuxu Zhang; Liang Zhao 002; Yanfang Ye 001 (CoRR, 2021)

Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism. - Tianxi Ji; Pan Li 001; Emre Yilmaz 002; Erman Ayday; Yanfang Ye 001; Jinyuan Sun (Proc. VLDB Endow., 2021)

Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. - Chuanbo Hu; Minglei Yin; Bin Liu 045; Xin Li 005; Yanfang Ye 001 (ACM Trans. Intell. Syst. Technol., 2021)

Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph. - Qingzhe Li; Amir Alipour-Fanid; Martin Slawski; Yanfang Ye 001; Lingfei Wu 001; Kai Zeng 001; Liang Zhao 002 (IEEE Trans. Knowl. Data Eng., 2021)

A Framework for Enhancing Deep Neural Networks Against Adversarial Malware. - Deqiang Li; Qianmu Li; Yanfang Ye 001; Shouhuai Xu (IEEE Trans. Netw. Sci. Eng., 2021)

Disentangled Spatiotemporal Graph Generative Models. - Yuanqi Du; Xiaojie Guo 002; Hengning Cao; Yanfang Ye 001; Liang Zhao 002 (AAAI, 2022)

Adaptive Kernel Graph Neural Network. - Mingxuan Ju; Shifu Hou; Yujie Fan; Jianan Zhao 002; Yanfang Ye 001; Liang Zhao 002 (AAAI, 2022)

Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. - Yiyue Qian; Yiming Zhang 002; Nitesh V. Chawla; Yanfang Ye 001; Chuxu Zhang (CIKM, 2022)

Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. - Chunhui Zhang; Chao Huang 001; Youhuan Li; Xiangliang Zhang 001; Yanfang Ye 001; Chuxu Zhang (CIKM, 2022)

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. - Mingxuan Ju; Wenhao Yu 002; Tong Zhao 003; Chuxu Zhang; Yanfang Ye 001 (EMNLP (Findings), 2022)

DescribeCtx: Context-Aware Description Synthesis for Sensitive Behaviors in Mobile Apps. - Shao Yang; Yuehan Wang; Yuan Yao 001; Haoyu Wang 001; Yanfang (Fanny) Ye; Xusheng Xiao (ICSE, 2022)

Few-Shot Learning on Graphs. - Chuxu Zhang; Kaize Ding; Jundong Li; Xiangliang Zhang 001; Yanfang Ye 001; Nitesh V. Chawla; Huan Liu 001 (IJCAI, 2022)

Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). - Jianfei Zhang 002; Ai-Te Kuo; Jianan Zhao 002; Qianlong Wen; Erin L. Winstanley; Chuxu Zhang; Yanfang Ye 001 (IJCAI, 2022)

Summarizing Source Code from Structure and Context. - Shifu Hou; Lingwei Chen; Yanfang Ye 001 (IJCNN, 2022)

Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. - Yiyue Qian; Yiming Zhang 002; Qianlong Wen; Yanfang Ye 001; Chuxu Zhang (KDD, 2022)

Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. - Qianlong Wen; Zhongyu Ouyang; Jianfei Zhang 002; Yiyue Qian; Yanfang Ye 001; Chuxu Zhang (KDD, 2022)

Co-Modality Graph Contrastive Learning for Imbalanced Node Classification. - Yiyue Qian; Chunhui Zhang; Yiming Zhang 002; Qianlong Wen; Yanfang Ye 001; Chuxu Zhang (NeurIPS, 2022)

Multi-objective Deep Data Generation with Correlated Property Control. - Shiyu Wang 002; Xiaojie Guo 002; Xuanyang Lin; Bo Pan; Yuanqi Du; Yinkai Wang; Yanfang Ye 001; Ashley Ann Petersen; Austin Leitgeb; Saleh AlKhalifa; Kevin Minbiole; William M. Wuest; et al. (NeurIPS, 2022)

Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs. - Yiming Zhang 002; Yiyue Qian; Yanfang Ye 001; Chuxu Zhang (SDM, 2022)

Heterogeneous Temporal Graph Neural Network. - Yujie Fan; Mingxuan Ju; Chuxu Zhang; Yanfang Ye 001 (SDM, 2022)

Back-Propagating System Dependency Impact for Attack Investigation. - Pengcheng Fang; Peng Gao 008; Changlin Liu; Erman Ayday; Kangkook Jee; Ting Wang 006; Yanfang (Fanny) Ye; Zhuotao Liu; Xusheng Xiao (USENIX Security Symposium, 2022)

Black-box Node Injection Attack for Graph Neural Networks. - Mingxuan Ju; Yujie Fan; Yanfang Ye 001; Liang Zhao 002 (CoRR, 2022)

Few-Shot Learning on Graphs: A Survey. - Chuxu Zhang; Kaize Ding; Jundong Li; Xiangliang Zhang 001; Yanfang Ye 001; Nitesh V. Chawla; Huan Liu 001 (CoRR, 2022)

Adversarial Cross-View Disentangled Graph Contrastive Learning. - Qianlong Wen; Zhongyu Ouyang; Chunhui Zhang; Yiyue Qian; Yanfang Ye 001; Chuxu Zhang (CoRR, 2022)

Contrastive Graph Few-Shot Learning. - Chunhui Zhang; Hongfu Liu 001; Jundong Li; Yanfang Ye 001; Chuxu Zhang (CoRR, 2022)

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. - Chunhui Zhang; Chao Huang 001; Yijun Tian 001; Qianlong Wen; Zhongyu Ouyang; Youhuan Li; Yanfang Ye 001; Chuxu Zhang (CoRR, 2022)

Hyperbolic Graph Attention Network. - Yiding Zhang; Xiao Wang 017; Chuan Shi 001; Xunqiang Jiang; Yanfang Ye 001 (IEEE Trans. Big Data, 2022)

Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. - Liang Zhao 002; Yuyang Gao; Jieping Ye; Feng Chen 001; Yanfang Ye 001; Chang-Tien Lu; Naren Ramakrishnan (ACM Trans. Knowl. Discov. Data, 2022)

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 001 (AAAI, 2023)

A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. - Qianlong Wen; Jiazheng Li 012; Chuxu Zhang; Yanfang Ye 001 (CIKM, 2023)

Leveraging Comment Retrieval for Code Summarization. - Shifu Hou; Lingwei Chen; Mingxuan Ju; Yanfang Ye 001 (ECIR (2), 2023)

Hypergraph Contrastive Learning for Drug Trafficking Community Detection. - Tianyi Ma; Yiyue Qian; Chuxu Zhang; Yanfang Ye 001 (ICDM, 2023)

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. - Mingxuan Ju; Tong Zhao 003; Qianlong Wen; Wenhao Yu 002; Neil Shah; Yanfang Ye 001; Chuxu Zhang (ICLR, 2023)

Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. - Chunhui Zhang; Yijun Tian 001; Mingxuan Ju; Zheyuan Liu 010; Yanfang Ye 001; Nitesh V. Chawla; Chuxu Zhang (ICLR, 2023)

When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. - Chunhui Zhang; Chao Huang 001; Yijun Tian 001; Qianlong Wen; Zhongyu Ouyang; Youhuan Li; Yanfang Ye 001; Chuxu Zhang (ICML, 2023)

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. - Mingxuan Ju; Tong Zhao 003; Wenhao Yu 002; Neil Shah; Yanfang Ye 001 (NeurIPS, 2023)

Self-Supervised Graph Structure Refinement for Graph Neural Networks. - Jianan Zhao 002; Qianlong Wen; Mingxuan Ju; Chuxu Zhang; Yanfang Ye 001 (WSDM, 2023)

Fair Graph Representation Learning via Diverse Mixture-of-Experts. - Zheyuan Liu 010; Chunhui Zhang; Yijun Tian 001; Erchi Zhang; Chao Huang 001; Yanfang Ye 001; Chuxu Zhang (WWW, 2023)

Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media. - Chuanbo Hu; Bin Liu 045; Xin Li 005; Yanfang Ye 001 (CoRR, 2023)

An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox. - Chaoran Chen; Weijun Li; Wenxin Song; Yanfang Ye 001; Yaxing Yao; Toby Jia-Jun Li (CoRR, 2023)

Arms Race in Adversarial Malware Detection: A Survey. - Deqiang Li; Qianmu Li; Yanfang (Fanny) Ye; Shouhuai Xu (ACM Comput. Surv., 2023)

Fine-grained classification of drug trafficking based on Instagram hashtags. - Chuanbo Hu; Bin Liu 045; Yanfang Ye 001; Xin Li 005 (Decis. Support Syst., 2023)

Heterogeneous Information Network Embedding With Adversarial Disentangler. - Ruijia Wang; Chuan Shi 001; Tianyu Zhao; Xiao Wang 017; Yanfang Ye 001 (IEEE Trans. Knowl. Data Eng., 2023)

Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning. - Chunhui Zhang; Hongfu Liu 001; Jundong Li; Yanfang Ye 001; Chuxu Zhang (Trans. Mach. Learn. Res., 2023)

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. - Xiao Wang 017; Deyu Bo; Chuan Shi 001; Shaohua Fan; Yanfang Ye 001; Philip S. Yu (IEEE Trans. Big Data, 2023)

An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors. - Chaoran Chen; Weijun Li; Wenxin Song; Yanfang Ye 001; Yaxing Yao; Toby Jia-Jun Li (CHI, 2024)

Mitigating Emergent Robustness Degradation while Scaling Graph Learning. - Xiangchi Yuan; Chunhui Zhang; Yijun Tian 001; Yanfang Ye 001; Chuxu Zhang (ICLR, 2024)

Position: TrustLLM: Trustworthiness in Large Language Models. - Yue Huang; Lichao Sun 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Yuan Li; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang; Xiner Li; Hanchi Sun; et al. (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 001 (ICML, 2024)

How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering? - Zhongyu Ouyang; Chunhui Zhang; Shifu Hou; Chuxu Zhang; Yanfang Ye 001 (ICWSM, 2024)

Subgraph Pooling: Tackling Negative Transfer on Graphs. - Zehong Wang; Zheyuan Zhang; Chuxu Zhang; Yanfang Ye 001 (IJCAI, 2024)

Graph Cross Supervised Learning via Generalized Knowledge. - Xiangchi Yuan; Yijun Tian 001; Chunhui Zhang; Yanfang Ye 001; Nitesh V. Chawla; Chuxu Zhang (KDD, 2024)

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 001 (KDD, 2024)

How Does Message Passing Improve Collaborative Filtering? - Mingxuan Ju; William Shiao; Zhichun Guo; Yanfang Ye 001; Yozen Liu; Neil Shah; Tong Zhao 003 (NeurIPS, 2024)

GFT: Graph Foundation Model with Transferable Tree Vocabulary. - Zehong Wang; Zheyuan Zhang; Nitesh V. Chawla; Chuxu Zhang; Yanfang Ye 001 (NeurIPS, 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 001 (ECML/PKDD (10), 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 001 (UAI, 2024)

Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. - Yiyue Qian; Tianyi Ma; Chuxu Zhang; Yanfang Ye 001 (WWW (Companion Volume), 2024)

TrustLLM: Trustworthiness in Large Language Models. - Lichao Sun 001; Yue Huang 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang 001; Xiner Li; Zhengliang Liu; Yixin Liu 002; et al. (CoRR, 2024)

Tackling Negative Transfer on Graphs. - Zehong Wang; Zheyuan Zhang; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2024)

ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. - Zhengqing Yuan; Rong Zhou; Hongyi Wang 001; Lifang He 001; Yanfang Ye 001; Lichao Sun 001 (CoRR, 2024)

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation. - Rong Zhou; Zhengqing Yuan; Zhiling Yan; Weixiang Sun; Kai Zhang 039; Yiwei Li 002; Yanfang Ye 001; Xiang Li 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? - Yue Huang 001; Zhengqing Yuan; Yujun Zhou 002; Kehan Guo; Xiangqi Wang; Haomin Zhuang; Weixiang Sun; Lichao Sun 001; Jindong Wang 001; Yanfang Ye 001; Xiangliang Zhang 001 (CoRR, 2024)

Learning Cross-Task Generalities Across Graphs via Task-trees. - Zehong Wang; Zheyuan Zhang; Tianyi Ma; Nitesh V. Chawla; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2024)

Knowledge-prompted ChatGPT: Enhancing drug trafficking detection on social media. - Chuanbo Hu; Bin Liu 045; Xin Li 005; Yanfang Ye 001; Minglei Yin (Inf. Manag., 2024)

Graph Mining for Cybersecurity: A Survey. - Bo Yan 005; Cheng Yang 002; Chuan Shi 001; Yong Fang 002; Qi Li 002; Yanfang Ye 001; Junping Du 001 (ACM Trans. Knowl. Discov. Data, 2024)

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 001 (AAAI, 2025)

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. - Tianyi Ma; Yiyue Qian; Zehong Wang; Zheyuan Zhang; Chuxu Zhang; Yanfang Ye 001 (ACL (Findings), 2025)

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 001 (ACL (1), 2025)

CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications. - Chaoran Chen; Daodao Zhou; Yanfang Ye 001; Toby Jia-Jun Li; Yaxing Yao (IUI, 2025)

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 001 (KDD (1), 2025)

Can LLMs Convert Graphs to Text-Attributed Graphs? - Zehong Wang; Sidney Liu; Zheyuan Zhang; Tianyi Ma; Chuxu Zhang; Yanfang Ye 001 (NAACL (Long Papers), 2025)

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 001; Yanfang Ye 001 (NDSS, 2025)

Non-parametric Graph Convolution for Re-ranking in Recommendation Systems. - Zhongyu Ouyang; Mingxuan Ju; Soroush Vosoughi; Yanfang Ye 001 (RecSys, 2025)

Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. - Chaoran Chen; Leyang Li; Luke Cao; Yanfang Ye 001; Tianshi Li 001; Yaxing Yao; Toby Jia-Jun Li (UIST, 2025)

Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning. - Yiyue Qian; Tianyi Ma; Chuxu Zhang; Yanfang Ye 001 (WSDM, 2025)

Training MLPs on Graphs without Supervision. - Zehong Wang; Zheyuan Zhang; Chuxu Zhang; Yanfang Ye 001 (WSDM, 2025)

Neural Graph Pattern Machine. - Zehong Wang; Zheyuan Zhang; Tianyi Ma; Nitesh V. Chawla; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2025)

Adaptive Expansion for Hypergraph Learning. - Tianyi Ma; Yiyue Qian; Shinan Zhang; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2025)

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. - Jiazheng Li 012; Lu Yu 006; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Yanfang Ye 001; Chuxu Zhang (CoRR, 2025)

The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections. - Chaoran Chen; Zhiping Zhang; Bingcan Guo; Shang Ma; Ibrahim Khalilov; Simret Araya Gebreegziabher; Yanfang Ye 001; Ziang Xiao; Yaxing Yao; Tianshi Li 001; Toby Jia-Jun Li (CoRR, 2025)

Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents. - Chaoran Chen; Zhiping Zhang; Ibrahim Khalilov; Bingcan Guo; Simret Araya Gebreegziabher; Yanfang Ye 001; Ziang Xiao; Yaxing Yao; Tianshi Li 001; Toby Jia-Jun Li (CoRR, 2025)

EfficientLLM: Efficiency in Large Language Models. - Zhengqing Yuan; Weixiang Sun; Yixin Liu 002; Huichi Zhou; Rong Zhou; Yiyang Li; Zheyuan Zhang; Wei Song; Yue Huang; Haolong Jia; Keerthiram Murugesan; Yu Wang; et al. (CoRR, 2025)

PsyScam: A Benchmark for Psychological Techniques in Real-World Scams. - Shang Ma; Tianyi Ma; Jiahao Liu 005; Wei Song; Zhenkai Liang; Xusheng Xiao; Yanfang Ye 001 (CoRR, 2025)

Graph Foundation Models: A Comprehensive Survey. - Zehong Wang; Zheyuan Liu 010; Tianyi Ma; Jiazheng Li 012; Zheyuan Zhang; Xingbo Fu; Yiyang Li; Zhengqing Yuan; Wei Song; Yijun Ma; Qingkai Zeng 001; Xiusi Chen; et al. (CoRR, 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 001 (CoRR, 2025)

Scalable Graph Generative Modeling via Substructure Sequences. - Zehong Wang; Zheyuan Zhang; Tianyi Ma; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2025)

Towards Human-like Preference Profiling in Sequential Recommendation. - Zhongyu Ouyang; Qianlong Wen; Chunhui Zhang; Yanfang Ye 001; Soroush Vosoughi (CoRR, 2025)

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. - Xingbo Fu; Zehong Wang; Zihan Chen 002; Jiazheng Li 012; Yaochen Zhu; Zhen Lei 001; Cong Shen 001; Yanfang Ye 001; Chuxu Zhang; Jundong Li (CoRR, 2025)

My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom. - Jiayi Ye; Chaoran Chen; Yue Huang 001; Yanfang Ye 001; Toby Jia-Jun Li; Xiangliang Zhang 001 (CoRR, 2025)

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 001; Tianshi Li 001; Ziang Xiao; et al. (CoRR, 2025)

LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines. - Yanfang Ye 001; Zheyuan Zhang; Tianyi Ma; Zehong Wang; Yiyang Li; Shifu Hou; Weixiang Sun; Kaiwen Shi; Yijun Ma; Wei Song; Ahmed Abbasi; Ying Cheng; et al. (CoRR, 2025)