Zhu, Ye

36 publications

NeurIPS 2025 BNMusic: Blending Environmental Noises into Personalized Music Chi Zuo, Martin B. Møller, Pablo Martínez-Nuevo, Huayang Huang, Yu Wu, Ye Zhu

ICCV 2025 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

AAAI 2025 DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion Yinghui Li, Qianyu Zhou, Jingyu Gong, Ye Zhu, Richard Dazeley, Xinkui Zhao, Xuequan Lu

CVPR 2025 D^3: Scaling up Deepfake Detection by Learning from Discrepancy Yongqi Yang, Zhihao Qian, Ye Zhu, Olga Russakovsky, Yu Wu

NeurIPS 2025 Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions Ye Zhu, Duo Xu, Zhiwei Deng, Jonathan Tan, Olga Russakovsky

IJCAI 2025 Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning Ye Zhu, Xiaowen Gong, Shiwen Mao

ICCV 2025 GUAVA: Generalizable Upper Body 3D Gaussian Avatar Dongbin Zhang, Yunfei Liu, Lijian Lin, Ye Zhu, Yang Li, Minghan Qin, Yu Li, Haoqian Wang

CVPR 2025 HRAvatar: High-Quality and Relightable Gaussian Head Avatar Dongbin Zhang, Yunfei Liu, Lijian Lin, Ye Zhu, Kangjie Chen, Minghan Qin, Yu Li, Haoqian Wang

IJCAI 2025 Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Ye Zhu, Yunan Wang, Zitong Yu

AAAI 2025 Single-Loop Federated Actor-Critic Across Heterogeneous Environments Ye Zhu, Xiaowen Gong

ICLR 2025 TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction Yunfei Liu, Lei Zhu, Lijian Lin, Ye Zhu, Ailing Zhang, Yu Li

ICCV 2025 The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation Ruoyu Wang, Huayang Huang, Ye Zhu, Olga Russakovsky, Yu Wu

JAIR 2025 Towards a Robust Persistence Diagram via Data-Dependent Kernel Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu

AAAI 2024 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

JAIR 2024 Detecting Change Intervals with Isolation Distributional Kernel Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li

IJCAI 2024 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

ICLR 2024 Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation Ruoyu Wang, Yongqi Yang, Zhihao Qian, Ye Zhu, Yu Wu

WACV 2024 Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation Bin Duan, Hao Tang, Changchang Sun, Ye Zhu, Yan Yan

ICML 2024 What Is Dataset Distillation Learning? William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky

NeurIPS 2023 Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

ICLRW 2023 Denoising Diffusion Probabilistic Models to Predict the Number Density of Molecular Clouds in Astronomy Duo Xu, Jonathan Tan, Chia-Jung Hsu, Ye Zhu

ICLR 2023 Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan

ICMLW 2023 Discrete Diffusion Reward Guidance Methods for Offline Reinforcement Learning Matthew Coleman, Olga Russakovsky, Christine Allen-Blanchette, Ye Zhu

ICML 2023 Towards a Persistence Diagram That Is Robust to Noise and Varied Densities Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu

NeurIPS 2022 AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation Yuanfeng Ji, Haotian Bai, Chongjian Ge, Jie Yang, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhanng, Wanling Ma, Xiang Wan, Ping Luo

IJCAI 2022 Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract) Ye Zhu, Kai Ming Ting

ECCV 2022 Quantized GAN for Complex Music Generation from Dance Videos Ye Zhu, Kyle Olszewski, Yu Wu, Panos Achlioptas, Menglei Chai, Yan Yan, Sergey Tulyakov

ICCVW 2021 Enforcing Temporal Consistency in Video Depth Estimation Siyuan Li, Yue Luo, Ye Zhu, Xun Zhao, Yu Li, Ying Shan

JAIR 2021 Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel Ye Zhu, Kai Ming Ting

ECCV 2020 Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents Ye Zhu, Yu Wu, Yi Yang, Yan Yan

ECCVW 2020 Hierarchical HMM for Eye Movement Classification Ye Zhu, Yan Yan, Oleg Komogortsev

MLJ 2019 Lowest Probability Mass Neighbour Algorithms: Relaxing the Metric Constraint in Distance-Based Neighbourhood Algorithms Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou

AAAI 2019 Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee

ACML 2018 Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing Yuan Jin, Mark Carman, Ye Zhu, Wray Buntine

MLJ 2018 Local Contrast as an Effective Means to Robust Clustering Against Varying Densities Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu

MLJ 2016 Commentary: A Decomposition of the Outlier Detection Problem into a Set of Supervised Learning Problems Ye Zhu, Kai Ming Ting