Mi Zhang - RankMe

88 papers A* 34A 8B 1C 2Misc 1Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition. AAAI Yuanmin Huang, Wenxuan Li, Mi Zhang, Xiaohan Zhang, Xiaoyu You, Min Yang
2026	—	`conf`	SEW: Strengthening Robustness of Black-box DNN Watermarking via Specificity Enhancement. KDD (1) Huming Qiu, Mi Zhang, Junjie Sun, Peiyi Chen, Xiaohan Zhang, Min Yang
2026	J	`jnl`	SEW: Strengthening Robustness of Black-box DNN Watermarking via Specificity Enhancement. CoRR Huming Qiu, Mi Zhang, Junjie Sun, Peiyi Chen, Xiaohan Zhang, Min Yang
2026	A*	`conf`	SmartSight: Mitigating Hallucination in Video-LLMs Without Compromising Video Understanding via Temporal Attention Collapse. AAAI Yiming Sun, Mi Zhang, Feifei Li, Geng Hong, Min Yang
2026	A*	`conf`	Unveiling the Resilience of LLM-Enhanced Search Engines against Black-Hat SEO Manipulation. WWW Pei Chen, Geng Hong, Xinyi Wu, Mengying Wu, Zixuan Zhu, Mingxuan Liu, Baojun Liu, Mi Zhang, Min Yang
2026	J	`jnl`	Unveiling the Resilience of LLM-Enhanced Search Engines against Black-Hat SEO Manipulation. CoRR Pei Chen, Geng Hong, Xinyi Wu, Mengying Wu, Zixuan Zhu, Mingxuan Liu, Baojun Liu, Mi Zhang, Min Yang
2025	J	`jnl`	3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition. CoRR Yuanmin Huang, Wenxuan Li, Mi Zhang, Xiaohan Zhang, Xiaoyu You, Min Yang
2025	A*	`conf`	Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization. CVPR Feifei Li, Mi Zhang, Yiming Sun, Min Yang
2025	J	`jnl`	Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization. CoRR Feifei Li, Mi Zhang, Yiming Sun, Min Yang
2025	J	`jnl`	Matryoshka: Exploiting the Over-Parametrization of Deep Learning Models for Covert Data Transmission. IEEE Trans. Pattern Anal. Mach. Intell. Xudong Pan, Mi Zhang, Yifan Yan, Shengyao Zhang, Min Yang
2025	A*	`conf`	Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink. USENIX Security Symposium Yining Wang, Mi Zhang, Junjie Sun, Chenyue Wang, Min Yang, Hui Xue, Jialing Tao, Ranjie Duan, Jiexi Liu
2025	J	`jnl`	Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink. CoRR Yining Wang, Mi Zhang, Junjie Sun, Chenyue Wang, Min Yang, Hui Xue, Jialing Tao, Ranjie Duan, Jiexi Liu
2025	J	`jnl`	ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments. CoRR Yuquan Wang, Mi Zhang, Yining Wang, Geng Hong, Xiaoyu You, Min Yang
2025	A*	`conf`	Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain. WWW Yuanmin Huang, Mi Zhang, Zhaoxiang Wang, Wenxuan Li, Min Yang
2025	J	`jnl`	Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain. CoRR Yuanmin Huang, Mi Zhang, Zhaoxiang Wang, Wenxuan Li, Min Yang
2025	J	`jnl`	SmartSight: Mitigating Hallucination in Video-LLMs Without Compromising Video Understanding via Temporal Attention Collapse. CoRR Yiming Sun, Mi Zhang, Feifei Li, Geng Hong, Min Yang
2025	J	`jnl`	The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances. CoRR Yining Wang, Yuquan Wang, Xi Li, Mi Zhang, Geng Hong, Min Yang
2024	A*	`conf`	BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting. SP Huming Qiu, Junjie Sun, Mi Zhang, Xudong Pan, Min Yang
2024	A*	`conf`	CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification. CVPR Yuanmin Huang, Mi Zhang, Daizong Ding, Erling Jiang, Zhaoxiang Wang, Min Yang
2024	A*	`conf`	GNNFingers: A Fingerprinting Framework for Verifying Ownerships of Graph Neural Networks. WWW Xiaoyu You, Youhe Jiang, Jianwei Xu, Mi Zhang, Min Yang
2024	A	`conf`	I Can Retrieve More than Images: Contrastive Stealing Attack against Deep Hashing Models. ICWS Xiaoyu You, Mi Zhang, Jianwei Xu, Min Yang
2024	A*	`conf`	Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse. CVPR Yining Wang, Junjie Sun, Chenyue Wang, Mi Zhang, Min Yang
2024	J	`jnl`	Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse. CoRR Yining Wang, Junjie Sun, Chenyue Wang, Mi Zhang, Min Yang
2024	A*	`conf`	Neural Dehydration: Effective Erasure of Black-box Watermarks from DNNs with Limited Data. CCS Yifan Lu, Wenxuan Li, Mi Zhang, Xudong Pan, Min Yang
2024	A*	`conf`	RRL: Recommendation Reverse Learning. AAAI Xiaoyu You, Jianwei Xu, Mi Zhang, Zechen Gao, Min Yang
2024	J	`jnl`	Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding. CoRR Huming Qiu, Guanxu Chen, Mi Zhang, Min Yang
2024	—	`conf`	Towards Detection-Recovery Strategy for Robust Decentralized Matrix Factorization. ESORICS (1) Yuanmin Huang, Mi Zhang, Daizong Ding, Erling Jiang, Qifan Xiao, Xiaoyu You, Yuan Tian, Min Yang
2024	J	`jnl`	Towards Practical Backdoor Attacks on Federated Learning Systems. IEEE Trans. Dependable Secur. Comput. Chenghui Shi, Shouling Ji, Xudong Pan, Xuhong Zhang, Mi Zhang, Min Yang, Jun Zhou, Jianwei Yin, Ting Wang
2023	A*	`conf`	Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. WWW Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang
2023	J	`jnl`	BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting. CoRR Huming Qiu, Junjie Sun, Mi Zhang, Xudong Pan, Min Yang
2023	A*	`conf`	Black-Box Adversarial Attack on Time Series Classification. AAAI Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang
2023	A*	`conf`	CAP: Robust Point Cloud Classification via Semantic and Structural Modeling. CVPR Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang, Wenxuan Li, Min Yang
2023	A*	`conf`	Cracking White-box DNN Watermarks via Invariant Neuron Transforms. KDD Xudong Pan, Mi Zhang, Yifan Yan, Yining Wang, Min Yang
2023	J	`jnl`	Enhancing Time Series Predictors With Generalized Extreme Value Loss. IEEE Trans. Knowl. Data Eng. Mi Zhang, Daizong Ding, Xudong Pan, Min Yang
2023	A*	`conf`	Exorcising "Wraith": Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks. USENIX Security Symposium Qifan Xiao, Xudong Pan, Yifan Lu, Mi Zhang, Jiarun Dai, Min Yang
2023	J	`jnl`	Exorcising "Wraith": Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks. CoRR Qifan Xiao, Xudong Pan, Yifan Lu, Mi Zhang, Jiarun Dai, Min Yang
2023	J	`jnl`	JADE: A Linguistics-based Safety Evaluation Platform for LLM. CoRR Mi Zhang, Xudong Pan, Min Yang
2023	J	`jnl`	MIRA: Cracking Black-box Watermarking on Deep Neural Networks via Model Inversion-based Removal Attacks. CoRR Yifan Lu, Wenxuan Li, Mi Zhang, Xudong Pan, Min Yang
2023	A*	`conf`	MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. WWW Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng
2023	J	`jnl`	No-Skim: Towards Efficiency Robustness Evaluation on Skimming-based Language Models. CoRR Shengyao Zhang, Mi Zhang, Xudong Pan, Min Yang
2023	A*	`conf`	Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation. USENIX Security Symposium Yifan Yan, Xudong Pan, Mi Zhang, Min Yang
2023	J	`jnl`	Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation. CoRR Yifan Yan, Xudong Pan, Mi Zhang, Min Yang
2023	Misc	`conf`	RØROS: Building a Responsive Online Recommender System via Meta-Gradients Updating. ICASSP Xudong Pan, Mi Zhang, Duocai Wu
2023	—	`conf`	SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT. ACL (Findings) Shengyao Zhang, Xudong Pan, Mi Zhang, Min Yang
2023	J	`jnl`	Slowing Down the Aging of Learning-Based Malware Detectors With API Knowledge. IEEE Trans. Dependable Secur. Comput. Xiaohan Zhang, Mi Zhang, Yuan Zhang, Ming Zhong, Xin Zhang, Yinzhi Cao, Min Yang
2022	J	`jnl`	A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling. CoRR Xudong Pan, Qifan Xiao, Mi Zhang, Min Yang
2022	J	`jnl`	A Geometrical Perspective on Image Style Transfer With Adversarial Learning. IEEE Trans. Pattern Anal. Mach. Intell. Xudong Pan, Mi Zhang, Daizong Ding, Min Yang
2022	J	`jnl`	Cracking White-box DNN Watermarks via Invariant Neuron Transforms. CoRR Yifan Yan, Xudong Pan, Yining Wang, Mi Zhang, Min Yang
2022	A*	`conf`	Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis. USENIX Security Symposium Xudong Pan, Mi Zhang, Yifan Yan, Jiaming Zhu, Zhemin Yang
2022	A*	`conf`	Hidden Trigger Backdoor Attack on NLP Models via Linguistic Style Manipulation. USENIX Security Symposium Xudong Pan, Mi Zhang, Beina Sheng, Jiaming Zhu, Min Yang
2022	A*	`conf`	House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography. NeurIPS Xudong Pan, Shengyao Zhang, Mi Zhang, Yifan Yan, Min Yang
2022	J	`jnl`	Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model. CoRR Xudong Pan, Yifan Yan, Shengyao Zhang, Mi Zhang, Min Yang
2022	A*	`conf`	MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting. KDD Xudong Pan, Yifan Yan, Mi Zhang, Min Yang
2022	A*	`conf`	Towards Backdoor Attack on Deep Learning based Time Series Classification. ICDE Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang
2022	J	`jnl`	UTAF: A Universal Approach to Task-Agnostic Model Fingerprinting. CoRR Xudong Pan, Mi Zhang, Yifan Yan
2022	A*	`conf`	Understanding the Practice of Security Patch Management across Multiple Branches in OSS Projects. WWW Xin Tan, Yuan Zhang, Jiajun Cao, Kun Sun, Mi Zhang, Min Yang
2021	A	`conf`	A Deep Learning Framework for Self-evolving Hierarchical Community Detection. CIKM Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He
2021	A	`conf`	Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. CIKM Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang
2021	—	`conf`	TAFA: A Task-Agnostic Fingerprinting Algorithm for Neural Networks. ESORICS (1) Xudong Pan, Mi Zhang, Yifan Lu, Min Yang
2021	A	`conf`	Understanding the Threats of Trojaned Quantized Neural Network in Model Supply Chains. ACSAC Xudong Pan, Mi Zhang, Yifan Yan, Min Yang
2020	A*	`conf`	Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware. CCS Xiaohan Zhang, Yuan Zhang, Ming Zhong, Daizong Ding, Yinzhi Cao, Yukun Zhang, Mi Zhang, Min Yang
2020	A*	`conf`	Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. AAAI Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
2020	A*	`conf`	Justinian's GAAvernor: Robust Distributed Learning with Gradient Aggregation Agent. USENIX Security Symposium Xudong Pan, Mi Zhang, Duocai Wu, Qifan Xiao, Shouling Ji, Min Yang
2020	A*	`conf`	Modeling Personalized Out-of-Town Distances in Location Recommendation. ICDM Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
2020	A*	`conf`	Privacy Risks of General-Purpose Language Models. SP Xudong Pan, Mi Zhang, Shouling Ji, Min Yang
2020	J	`jnl`	Theory-Oriented Deep Leakage from Gradients via Linear Equation Solver. CoRR Xudong Pan, Mi Zhang, Yifan Yan, Jiaming Zhu, Min Yang
2019	J	`jnl`	How Sequence-to-Sequence Models Perceive Language Styles? CoRR Ruozi Huang, Mi Zhang, Xudong Pan, Beina Sheng
2019	A*	`conf`	Modeling Extreme Events in Time Series Prediction. KDD Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
2018	A*	`conf`	Geographical Feature Extraction for Entities in Location-based Social Networks. WWW Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu, Pearl Pu
2018	A*	`conf`	Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. ICML Xudong Pan, Mi Zhang, Daizong Ding
2018	J	`jnl`	Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. CoRR Xudong Pan, Mi Zhang, Daizong Ding
2017	A	`conf`	BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. CIKM Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou
2014	A*	`conf`	Addressing cold start in recommender systems: a semi-supervised co-training algorithm. SIGIR Mi Zhang, Jie Tang, Xuchen Zhang, Xiangyang Xue
2012	—	`conf`	A Double-Ranking Strategy for Long-Tail Product Recommendation. Web Intelligence Mi Zhang, Neil Hurley, Wei Li, Xiangyang Xue
2011	J	`jnl`	Novelty and Diversity in Top-N Recommendation - Analysis and Evaluation. ACM Trans. Internet Techn. Neil Hurley, Mi Zhang
2010	—	`conf`	Niche Product Retrieval in Top-N Recommendation. Web Intelligence Mi Zhang, Neil Hurley
2009	A	`conf`	Enhancing diversity in Top-N recommendation. RecSys Mi Zhang
2009	B	`conf`	Evaluating the Diversity of Top-N Recommendations. ICTAI Mi Zhang, Neil Hurley
2009	—	`conf`	Novel Item Recommendation by User Profile Partitioning. Web Intelligence Mi Zhang, Neil Hurley
2009	—	`conf`	Statistical Modeling of Diversity in Top-N Recommender Systems. Web Intelligence Mi Zhang, Neil Hurley
2009	A	`conf`	Statistical attack detection. RecSys Neil Hurley, Zunping Cheng, Mi Zhang
2008	—	`conf`	Analysis of Methods for Novel Case Selection. ICTAI (2) Neil Hurley, Mi Zhang
2008	A	`conf`	Avoiding monotony: improving the diversity of recommendation lists. RecSys Mi Zhang, Neil Hurley
2006	—	`conf`	Using a Depth Tree Framework to Evaluate Change Impacts of Modifications to IT Infrastructure. ICE-B Min Yang, Mi Zhang, Peng Han, Haiguang Chen, Xi Zhou, Dilin Mao, Chuanshan Gao
2005	C	`conf`	A Security Model Design in Web Service Environment. CIT Mi Zhang, Zunping Cheng, Ziji Ma, Binyu Zang
2005	C	`conf`	A Web Service-Based Framework for Supply Chain Management. ISORC Mi Zhang, Jianjun Xu, Zunping Cheng, Yinsheng Li, Binyu Zang
2005	—	`conf`	ADDI: an agent-based extension to UDDI for supply chain management. CSCWD (1) Mi Zhang, Zunping Cheng, Yongzun Zhao, Joshua Zhexue Huang, Yinsheng Li, Binyu Zang
2004	—	`conf`	iOmS: An Agent-Based P2P Framework for Ubiquitous Workflow. GCC Min Yang, Zunping Cheng, Ning Shang, Mi Zhang, Min Li, Jing Dai, Wei Wang, Dilin Mao, Chuanshan Gao