iOmS: An Agent-Based P2P Framework for Ubiquitous Workflow. - Min Yang 002; Zunping Cheng; Ning Shang; Mi Zhang 001; Min Li; Jing Dai; Wei Wang 009; Dilin Mao; Chuanshan Gao (GCC, 2004)

A Security Model Design in Web Service Environment. - Mi Zhang 001; Zunping Cheng; Ziji Ma; Binyu Zang (CIT, 2005)

ADDI: an agent-based extension to UDDI for supply chain management. - Mi Zhang 001; Zunping Cheng; Yongzun Zhao; Joshua Zhexue Huang; Yinsheng Li; Binyu Zang (CSCWD (1), 2005)

A Web Service-Based Framework for Supply Chain Management. - Mi Zhang 001; Jianjun Xu; Zunping Cheng; Yinsheng Li; Binyu Zang (ISORC, 2005)

Using a Depth Tree Framework to Evaluate Change Impacts of Modifications to IT Infrastructure. - Min Yang 002; Mi Zhang 001; Peng Han; Haiguang Chen; Xi Zhou; Dilin Mao; Chuanshan Gao (ICE-B, 2006)

Analysis of Methods for Novel Case Selection. - Neil Hurley; Mi Zhang 001 (ICTAI (2), 2008)

Avoiding monotony: improving the diversity of recommendation lists. - Mi Zhang 001; Neil Hurley (RecSys, 2008)

Evaluating the Diversity of Top-N Recommendations. - Mi Zhang 001; Neil Hurley (ICTAI, 2009)

Statistical attack detection. - Neil Hurley; Zunping Cheng; Mi Zhang 001 (RecSys, 2009)

Enhancing diversity in Top-N recommendation. - Mi Zhang 001 (RecSys, 2009)

Statistical Modeling of Diversity in Top-N Recommender Systems. - Mi Zhang 001; Neil Hurley (Web Intelligence, 2009)

Novel Item Recommendation by User Profile Partitioning. - Mi Zhang 001; Neil Hurley (Web Intelligence, 2009)

Niche Product Retrieval in Top-N Recommendation. - Mi Zhang 001; Neil Hurley (Web Intelligence, 2010)

Novelty and Diversity in Top-N Recommendation - Analysis and Evaluation. - Neil Hurley; Mi Zhang 001 (ACM Trans. Internet Techn., 2011)

A Double-Ranking Strategy for Long-Tail Product Recommendation. - Mi Zhang 001; Neil Hurley; Wei Li 012; Xiangyang Xue 001 (Web Intelligence, 2012)

Addressing cold start in recommender systems: a semi-supervised co-training algorithm. - Mi Zhang 001; Jie Tang 001; Xuchen Zhang; Xiangyang Xue 001 (SIGIR, 2014)

BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. - Daizong Ding; Mi Zhang 001; Shao-Yuan Li; Jie Tang 001; Xiaotie Chen; Zhi-Hua Zhou (CIKM, 2017)

Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. - Xudong Pan; Mi Zhang 001; Daizong Ding (ICML, 2018)

Geographical Feature Extraction for Entities in Location-based Social Networks. - Daizong Ding; Mi Zhang 001; Xudong Pan; Duocai Wu; Pearl Pu (WWW, 2018)

Modeling Extreme Events in Time Series Prediction. - Daizong Ding; Mi Zhang 001; Xudong Pan; Min Yang 002; Xiangnan He 001 (KDD, 2019)

How Sequence-to-Sequence Models Perceive Language Styles? - Ruozi Huang; Mi Zhang 001; Xudong Pan; Beina Sheng (CoRR, 2019)

Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. - Daizong Ding; Mi Zhang 001; Xudong Pan; Min Yang 002; Xiangnan He 001 (AAAI, 2020)

Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware. - Xiaohan Zhang 001; Yuan Zhang 009; Ming Zhong 011; Daizong Ding; Yinzhi Cao; Yukun Zhang; Mi Zhang 001; Min Yang 002 (CCS, 2020)

Modeling Personalized Out-of-Town Distances in Location Recommendation. - Daizong Ding; Mi Zhang 001; Xudong Pan; Min Yang 002; Xiangnan He 001 (ICDM, 2020)

Privacy Risks of General-Purpose Language Models. - Xudong Pan; Mi Zhang 001; Shouling Ji; Min Yang 002 (SP, 2020)

Justinian's GAAvernor: Robust Distributed Learning with Gradient Aggregation Agent. - Xudong Pan; Mi Zhang 001; Duocai Wu; Qifan Xiao; Shouling Ji; Min Yang 002 (USENIX Security Symposium, 2020)

Theory-Oriented Deep Leakage from Gradients via Linear Equation Solver. - Xudong Pan; Mi Zhang 001; Yifan Yan; Jiaming Zhu; Min Yang 002 (CoRR, 2020)

Understanding the Threats of Trojaned Quantized Neural Network in Model Supply Chains. - Xudong Pan; Mi Zhang 001; Yifan Yan; Min Yang 002 (ACSAC, 2021)

A Deep Learning Framework for Self-evolving Hierarchical Community Detection. - Daizong Ding; Mi Zhang 001; Hanrui Wang 002; Xudong Pan; Min Yang 002; Xiangnan He 001 (CIKM, 2021)

Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. - Xiaoyu You; Mi Zhang 001; Daizong Ding; Fuli Feng; Yuanmin Huang 001 (CIKM, 2021)

TAFA: A Task-Agnostic Fingerprinting Algorithm for Neural Networks. - Xudong Pan; Mi Zhang 001; Yifan Lu; Min Yang 002 (ESORICS (1), 2021)

Towards Backdoor Attack on Deep Learning based Time Series Classification. - Daizong Ding; Mi Zhang 001; Yuanmin Huang 001; Xudong Pan; Fuli Feng; Erling Jiang; Min Yang 002 (ICDE, 2022)

MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting. - Xudong Pan; Yifan Yan; Mi Zhang 001; Min Yang 002 (KDD, 2022)

House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography. - Xudong Pan; Shengyao Zhang; Mi Zhang 001; Yifan Yan; Min Yang 002 (NeurIPS, 2022)

Hidden Trigger Backdoor Attack on NLP Models via Linguistic Style Manipulation. - Xudong Pan; Mi Zhang 001; Beina Sheng; Jiaming Zhu; Min Yang 002 (USENIX Security Symposium, 2022)

Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis. - Xudong Pan; Mi Zhang 001; Yifan Yan; Jiaming Zhu; Zhemin Yang (USENIX Security Symposium, 2022)

Understanding the Practice of Security Patch Management across Multiple Branches in OSS Projects. - Xin Tan; Yuan Zhang 009; Jiajun Cao; Kun Sun 001; Mi Zhang 001; Min Yang 002 (WWW, 2022)

UTAF: A Universal Approach to Task-Agnostic Model Fingerprinting. - Xudong Pan; Mi Zhang 001; Yifan Yan (CoRR, 2022)

Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model. - Xudong Pan; Yifan Yan; Shengyao Zhang; Mi Zhang 001; Min Yang 002 (CoRR, 2022)

A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling. - Xudong Pan; Qifan Xiao; Mi Zhang 001; Min Yang 002 (CoRR, 2022)

A Geometrical Perspective on Image Style Transfer With Adversarial Learning. - Xudong Pan; Mi Zhang 001; Daizong Ding; Min Yang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Black-Box Adversarial Attack on Time Series Classification. - Daizong Ding; Mi Zhang 001; Fuli Feng; Yuanmin Huang 001; Erling Jiang; Min Yang 002 (AAAI, 2023)

SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT. - Shengyao Zhang; Xudong Pan; Mi Zhang 001; Min Yang 002 (ACL (Findings), 2023)

CAP: Robust Point Cloud Classification via Semantic and Structural Modeling. - Daizong Ding; Erling Jiang; Yuanmin Huang 001; Mi Zhang 001; Wenxuan Li; Min Yang 002 (CVPR, 2023)

RØROS: Building a Responsive Online Recommender System via Meta-Gradients Updating. - Xudong Pan; Mi Zhang 001; Duocai Wu (ICASSP, 2023)

Cracking White-box DNN Watermarks via Invariant Neuron Transforms. - Xudong Pan; Mi Zhang 001; Yifan Yan; Yining Wang; Min Yang 002 (KDD, 2023)

Exorcising "Wraith": Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks. - Qifan Xiao; Xudong Pan; Yifan Lu; Mi Zhang 001; Jiarun Dai; Min Yang 002 (USENIX Security Symposium, 2023)

Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation. - Yifan Yan; Xudong Pan; Mi Zhang 001; Min Yang 002 (USENIX Security Symposium, 2023)

Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. - Xiaoyu You; Chi Li; Daizong Ding; Mi Zhang 001; Fuli Feng; Xudong Pan; Min Yang 002 (WWW, 2023)

MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. - Xiaoyu You; Beina Sheng; Daizong Ding; Mi Zhang 001; Xudong Pan; Min Yang 002; Fuli Feng (WWW, 2023)

MIRA: Cracking Black-box Watermarking on Deep Neural Networks via Model Inversion-based Removal Attacks. - Yifan Lu; Wenxuan Li; Mi Zhang 001; Xudong Pan; Min Yang 002 (CoRR, 2023)

JADE: A Linguistics-based Safety Evaluation Platform for LLM. - Mi Zhang 001; Xudong Pan; Min Yang 002 (CoRR, 2023)

No-Skim: Towards Efficiency Robustness Evaluation on Skimming-based Language Models. - Shengyao Zhang; Mi Zhang 001; Xudong Pan; Min Yang 002 (CoRR, 2023)

Slowing Down the Aging of Learning-Based Malware Detectors With API Knowledge. - Xiaohan Zhang 001; Mi Zhang 001; Yuan Zhang 009; Ming Zhong 011; Xin Zhang; Yinzhi Cao; Min Yang 002 (IEEE Trans. Dependable Secur. Comput., 2023)

Enhancing Time Series Predictors With Generalized Extreme Value Loss. - Mi Zhang 001; Daizong Ding; Xudong Pan; Min Yang 002 (IEEE Trans. Knowl. Data Eng., 2023)

RRL: Recommendation Reverse Learning. - Xiaoyu You; Jianwei Xu; Mi Zhang 001; Zechen Gao; Min Yang 002 (AAAI, 2024)

Neural Dehydration: Effective Erasure of Black-box Watermarks from DNNs with Limited Data. - Yifan Lu; Wenxuan Li; Mi Zhang 001; Xudong Pan; Min Yang 002 (CCS, 2024)

CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification. - Yuanmin Huang 001; Mi Zhang 001; Daizong Ding; Erling Jiang; Zhaoxiang Wang; Min Yang 002 (CVPR, 2024)

Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse. - Yining Wang; Junjie Sun; Chenyue Wang; Mi Zhang 001; Min Yang 002 (CVPR, 2024)

Towards Detection-Recovery Strategy for Robust Decentralized Matrix Factorization. - Yuanmin Huang 001; Mi Zhang 001; Daizong Ding; Erling Jiang; Qifan Xiao; Xiaoyu You; Yuan Tian; Min Yang 002 (ESORICS (1), 2024)

I Can Retrieve More than Images: Contrastive Stealing Attack against Deep Hashing Models. - Xiaoyu You; Mi Zhang 001; Jianwei Xu; Min Yang 002 (ICWS, 2024)

BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting. - Huming Qiu; Junjie Sun; Mi Zhang 001; Xudong Pan; Min Yang 002 (SP, 2024)

GNNFingers: A Fingerprinting Framework for Verifying Ownerships of Graph Neural Networks. - Xiaoyu You; Youhe Jiang; Jianwei Xu; Mi Zhang 001; Min Yang 002 (WWW, 2024)

Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding. - Huming Qiu; Guanxu Chen; Mi Zhang 001; Min Yang 002 (CoRR, 2024)

Towards Practical Backdoor Attacks on Federated Learning Systems. - Chenghui Shi; Shouling Ji; Xudong Pan; Xuhong Zhang 002; Mi Zhang 001; Min Yang 002; Jun Zhou 011; Jianwei Yin; Ting Wang 006 (IEEE Trans. Dependable Secur. Comput., 2024)

Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization. - Feifei Li; Mi Zhang 001; Yiming Sun 006; Min Yang 002 (CVPR, 2025)

Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain. - Yuanmin Huang 001; Mi Zhang 001; Zhaoxiang Wang; Wenxuan Li; Min Yang 002 (WWW, 2025)

Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink. - Yining Wang; Mi Zhang 001; Junjie Sun; Chenyue Wang; Min Yang 002; Hui Xue 001; Jialing Tao; Ranjie Duan; Jiexi Liu 005 (CoRR, 2025)

Matryoshka: Exploiting the Over-Parametrization of Deep Learning Models for Covert Data Transmission. - Xudong Pan; Mi Zhang 001; Yifan Yan; Shengyao Zhang; Min Yang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments. - Yuquan Wang; Mi Zhang 001; Yining Wang; Geng Hong; Xiaoyu You; Min Yang 002 (CoRR, 2025)