| 2026 | AAAI | DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion. | Yinghui Li, Qianyu Zhou, Di Shao, Hao Yang, Ye Zhu, Richard Dazeley, Xuequan Lu |
| 2026 | AAAI | SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection. | Yang Xu, Hang Zhang, Yixiao Ma, Ye Zhu, Kai Ming Ting |
| 2026 | KSEM | Online Automatic Modulation Classification Based on Distributional Signal Representation. | Xinpeng Li, Zile Jiang, Kai Ming Ting, Ye Zhu |
| 2026 | SIGGRAPH | PEAR: Pixel-aligned Expressive humAn mesh Recovery. | Jiahao Wu, Yunfei Liu, Lijian Lin, Ye Zhu, Lei Zhu, Jingyi Li, Yu Li |
| 2025 | AAAI | DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion. | Yinghui Li, Qianyu Zhou, Jingyu Gong, Ye Zhu, Richard Dazeley, Xinkui Zhao, Xuequan Lu |
| 2025 | AAAI | Single-Loop Federated Actor-Critic across Heterogeneous Environments. | Ye Zhu, Xiaowen Gong |
| 2025 | CVPR | D^3: Scaling Up Deepfake Detection by Learning from Discrepancy. | Yongqi Yang, Zhihao Qian, Ye Zhu, Olga Russakovsky, Yu Wu |
| 2025 | CVPR | HRAvatar: High-Quality and Relightable Gaussian Head Avatar. | Dongbin Zhang, Yunfei Liu, Lijian Lin, Ye Zhu, Kangjie Chen, Minghan Qin, Yu Li, Haoqian Wang |
| 2025 | ICCV | Canonswap: High-Fidelity and Consistent Video Face Swapping Via Canonical Space Modulation. | Xiangyang Luo, Ye Zhu, Yunfei Liu, Lijian Lin, Cong Wan, Zijian Cai, Yu Li, Shao-Lun Huang |
| 2025 | ICCV | The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation. | Ruoyu Wang, Huayang Huang, Ye Zhu, Olga Russakovsky, Yu Wu |
| 2025 | ICCV | GUAVA: Generalizable Upper Body 3D Gaussian Avatar. | Dongbin Zhang, Yunfei Liu, Lijian Lin, Ye Zhu, Yang Li, Minghan Qin, Yu Li, Haoqian Wang |
| 2025 | ICLR | TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction. | Yunfei Liu, Lei Zhu, Lijian Lin, Ye Zhu, Ailing Zhang, Yu Li |
| 2025 | IJCAI | Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning. | Ye Zhu, Xiaowen Gong, Shiwen Mao |
| 2025 | IJCAI | Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning. | Ye Zhu, Yunan Wang, Zitong Yu |
| 2025 | IJCNN | Detecting Community Structures in Directed Networks Based on Latent In-Out-Link Patterns. | Cangfeng Ding, Ye Zhu, Bohao Cao, Kexin Chen |
| 2025 | IJCNN | Style-xLSTM for Facial Age Editing. | Mingyuan Li, Songcheng Xu, Renda Han, Ye Zhu, Yingchun Guo |
| 2025 | KSEM | Streaming Hierarchical Clustering for Emerging New Class. | Yixiao Ma, Ye Zhu, Yang Xu, Kai Ming Ting |
| 2025 | KSEM | Generating Feedback for School Students Essay with Large Language Models. | Dan Zhang, Thuong Hoang, Ye Zhu, Rui Wang, Paula Crouch |
| 2025 | PAKDD | CANTER: A Novel Causal Model for Tourism Demand Forecasting. | Xin Han, Haiyang Xia, Ye Zhu, Gang Li, Rob Law |
| 2024 | AAAI | A Local-Ascending-Global Learning Strategy for Brain-Computer Interface. | Dongrui Gao, Haokai Zhang, Pengrui Li, Tian Tang, Shihong Liu, Zhihong Zhou, Shaofei Ying, Ye Zhu, Yongqing Zhang |
| 2024 | ADMA | TBRL: Trajectory-Based Reinforcement Learning for Flexible Job-Shop Scheduling Problem. | Zheng Chen, Ruijin Wang, Ye Zhu, Chao Tang, Donglin He, Jiachen Wang, Fengli Zhang |
| 2024 | ADMA | A Multi-View Framework for Fake News Detection Utilizing Dynamic User Propagation Structures, Temporal Changes, and Personal Attributes. | Nan Liu, Fengli Zhang, Ye Zhu, Ruijing Wang, Chao Tang, Xikai Pei |
| 2024 | ICASSP | Supplementing Missing Visions Via Dialog for Scene Graph Generations. | Zhenghao Zhao, Ye Zhu, Xiaoguang Zhu, Yuzhang Shang, Yan Yan |
| 2024 | ICLR | Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation. | Ruoyu Wang, Yongqi Yang, Zhihao Qian, Ye Zhu, Yu Wu |
| 2024 | ICML | What is Dataset Distillation Learning? | William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky |
| 2024 | IJCAI | Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint). | Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li |
| 2024 | KSEM | Robust Representation Learning for Image Clustering. | Pengcheng Jiang, Ye Zhu, Yang Cao, Gang Li, Gang Liu, Bo Yang |
| 2024 | MICCAI | Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt. | Fei Lyu, Jingwen Xu, Ye Zhu, Grace Lai-Hung Wong, Pong C. Yuen |
| 2024 | MICCAI | Temporal Neighboring Multi-modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction. | Jingwen Xu, Ye Zhu, Fei Lyu, Grace Lai-Hung Wong, Pong C. Yuen |
| 2024 | MICCAI | Symptom Disentanglement in Chest X-Ray Images for Fine-Grained Progression Learning. | Ye Zhu, Jingwen Xu, Fei Lyu, Pong C. Yuen |
| 2024 | PAKDD | Local Subsequence-Based Distribution for Time Series Clustering. | Lei Gong, Hang Zhang, Zongyou Liu, Kai Ming Ting, Yang Cao, Ye Zhu |
| 2024 | WACV | Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation. | Bin Duan, Hao Tang, Changchang Sun, Ye Zhu, Yan Yan |
| 2024 | WiOpt | Anarchic Federated Bilevel Optimization. | Dongsheng Li, Ye Zhu, Xiaowen Gong, Shiwen Mao, Yang Zhou |
| 2023 | ACSAC | Cross Body Signal Pairing (CBSP): A Key Generation Protocol for Pairing Wearable Devices with Cardiac and Respiratory Sensors. | Jafar Pourbemany, Ye Zhu |
| 2023 | CHI | FakeForward: Using Deepfake Technology for Feedforward Learning. | Christopher Clarke, Jingnan Xu, Ye Zhu, Karan Dharamshi, Harry McGill, Stephen Black, Christof Lutteroth |
| 2023 | CISS | Distributed Policy Gradient with Heterogeneous Computations for Federated Reinforcement Learning. | Ye Zhu, Xiaowen Gong |
| 2023 | ICDM | Distribution-Based Trajectory Clustering. | Zijing Wang, Ye Zhu, Kai Ming Ting |
| 2023 | ICLR | Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation. | Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan |
| 2023 | ICML | Towards a Persistence Diagram that is Robust to Noise and Varied Densities. | Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu |
| 2023 | KSEM | An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. | Chen Li, Yang Cao, Ye Zhu, Jinli Zhang, Annisa, Debo Cheng, Huidong Tang, Shuai Jiang, Kenta Maruyama, Yasuhiko Morimoto |
| 2023 | KSEM | Kernel-Based Feature Extraction for Time Series Clustering. | Yuhang Liu, Yi Zhang, Yang Cao, Ye Zhu, Nayyar Zaidi, Chathu Ranaweera, Gang Li, Qingyi Zhu |
| 2023 | PAKDD | An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. | Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li |
| 2023 | VTC | Compromising Random Linear Network Coding as A Cipher. | Sravya Bethu, Ye Zhu |
| 2022 | ACCV | Robust Human Matting via Semantic Guidance. | Xiangguang Chen, Ye Zhu, Yu Li, Bingtao Fu, Lei Sun, Ying Shan, Shan Liu |
| 2022 | ECCV | Quantized GAN for Complex Music Generation from Dance Videos. | Ye Zhu, Kyle Olszewski, Yu Wu, Panos Achlioptas, Menglei Chai, Yan Yan, Sergey Tulyakov |
| 2022 | HPCC | Image Anomaly Detection With Semantic- Enhanced Augmentation and Distributional Kernel. | Mingxi Wang, Ye Zhu, Gang Li, Gang Liu, Bo Yang |
| 2022 | IJCAI | Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract). | Ye Zhu, Kai Ming Ting |
| 2022 | ISNCC | Generalizing Direct Sequence Spread-Spectrum to Mitigate Autocorrelation-Based Attacks. | Avinash Kumar, Ye Zhu |
| 2022 | KDD | Streaming Hierarchical Clustering Based on Point-Set Kernel. | Xin Han, Ye Zhu, Kai Ming Ting, De-Chuan Zhan, Gang Li |
| 2022 | MICCAI | Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-Modal Representation Consistency. | Weijie Ma, Ye Zhu, Ruimao Zhang, Jie Yang, Yiwen Hu, Zhen Li, Li Xiang |
| 2022 | UIC | Privacy-Preserving Digital Twin for Vehicular Edge Computing Networks. | Yi Yang, Wenqiang Ma, Wen Sun, Haibin Zhang, Zhiqiang Liu, Lexi Xu, Ye Zhu |
| 2021 | ADMA | Identification of Stock Market Manipulation with Deep Learning. | Jillian Tallboys, Ye Zhu, Sutharshan Rajasegarar |
| 2021 | ADMA | A Comprehensive Feature Importance Evaluation for DDoS Attacks Detection. | Lu Zhou, Ye Zhu, Yong Xiang |
| 2021 | ICASSP | Learning Audio-Visual Correlations From Variational Cross-Modal Generation. | Ye Zhu, Yu Wu, Hugo Latapie, Yi Yang, Yan Yan |
| 2021 | ISCC | Systematic evaluation of abnormal detection methods on gas well sensor data. | Xichen Tang, Jinlong Wang, Ye Zhu, Robin Doss, Xin Han |
| 2021 | ISNCC | Extending Direct Sequence Spread-Spectrum for Secure Communication. | Avinash Kumar, Ye Zhu |
| 2020 | ECCV | Describing Unseen Videos via Multi-modal Cooperative Dialog Agents. | Ye Zhu, Yu Wu, Yi Yang, Yan Yan |
| 2020 | ECCV | Hierarchical HMM for Eye Movement Classification. | Ye Zhu, Yan Yan, Oleg Komogortsev |
| 2019 | AAAI | Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. | Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee |
| 2018 | ACML | Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. | Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine |
| 2018 | PAKDD | Leveraging Label Category Relationships in Multi-class Crowdsourcing. | Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman |
| 2018 | PAKDD | A Distance Scaling Method to Improve Density-Based Clustering. | Ye Zhu, Kai Ming Ting, Maia Angelova |
| 2016 | HCI | Implicit Authentication for Mobile Devices Using Typing Behavior. | Jonathan Gurary, Ye Zhu, Nahed Alnahash, Huirong Fu |
| 2016 | ICCCN | Voice Pattern Hiding for VoIP Communications. | Jialue Fang, Ye Zhu, Yong Guan |
| 2016 | ICIP | COVERAGE - A novel database for copy-move forgery detection. | Bihan Wen, Ye Zhu, Ramanathan Subramanian, Tian-Tsong Ng, Xuanjing Shen, Stefan Winkler |
| 2016 | KDD | Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. | Kai Ming Ting, Ye Zhu, Mark James Carman, Yue Zhu, Zhi-Hua Zhou |
| 2014 | IJCNN | Evaluation of active position detection in Vehicular Ad Hoc Networks. | Kiran Penna, Venkatesh Yalavarthi, Huirong Fu, Ye Zhu |
| 2012 | MASS | On tracking multiple indistinguishable targets. | Ye Zhu, Anil Vikram, Huirong Fu |
| 2011 | ISI | Enhancing unlinkability in Vehicular Ad Hoc Networks. | Hesiri Weerasinghe, Huirong Fu, Supeng Leng, Ye Zhu |
| 2009 | GLOBECOM | On Privacy of Skype VoIP Calls. | Ye Zhu, Yuanchao Lu, Anil Vikram, Huirong Fu |
| 2008 | PAKDD | On Privacy in Time Series Data Mining. | Ye Zhu, Yongjian Fu, Huirong Fu |
| 2007 | ICDCS | Compromising Location Privacy inWireless Networks Using Sensors with Limited Information. | Ye Zhu, Riccardo Bettati |
| 2006 | ISDA | A New Projection Approach to Robust Array Processing in the Presence of Steering Vector Errors. | Biao Jiang, Fuhu Chen, Guomin Ling, Ye Zhu |
| 2005 | CSCWD | A SOA-oriented e-learning resource integration infrastructure and its service discovery model. | Teng Ma, Ye Zhu, Junzhou Luo |
| 2005 | GLOBECOM | Anonymity analysis of mix networks against flow-correlation attacks. | Ye Zhu, Xinwen Fu, Riccardo Bettati, Wei Zhao |
| 2005 | ICDCS | On Flow Marking Attacks in Wireless Anonymous Communication Networks. | Xinwen Fu, Ye Zhu, Bryan Graham, Riccardo Bettati, Wei Zhao |
| 2005 | ICDCS | Anonymity vs. Information Leakage in Anonymity Systems. | Ye Zhu, Riccardo Bettati |
| 2005 | ICPADS | Using Covert Channels to Evaluate the Effectiveness of Flow Confidentiality Measures. | Bryan Graham, Ye Zhu, Xinwen Fu, Riccardo Bettati |
| 2005 | ISPA | Grid Supporting Platform for AMS Data Processing. | Junzhou Luo, Aibo Song, Ye Zhu, Xiaopeng Wang, Teng Ma, Zhiang Wu, Yaobin Xu, Liang Ge |
| 2005 | NCA | On the Effectiveness of Continuous-Time Mixes under Flow-Correlation Based Anonymity Attacks. | Ye Zhu, Xinwen Fu, Riccardo Bettati |
| 2004 | CSCWD | A Novel Method of QoS Based Resource Management and Trust Based Task Scheduling. | Junzhou Luo, Peng Ji, Xiaozhi Wang, Ye Zhu |
| 2004 | ISPA | Dividing Grid Service Discovery into 2-Stage Matchmaking. | Ye Zhu, Junzhou Luo, Teng Ma |
| 2004 | PDPTA | A Grid Service Discovery Approach Based on Compatibility Description. | Ye Zhu, Junzhou Luo |