Zhao, He

52 publications

CVPR 2025 Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized? Jianyang Xie, Yitian Zhao, Yanda Meng, He Zhao, Anh Nguyen, Yalin Zheng

CVPR 2025 Balancing Two Classifiers via a Simplex ETF Structure for Model Calibration Jiani Ni, He Zhao, Jintong Gao, Dandan Guo, Hongyuan Zha

CVPR 2025 Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning Hairui Ren, Fan Tang, He Zhao, Zixuan Wang, Dandan Guo, Yi Chang

ICLR 2025 DRL: Decomposed Representation Learning for Tabular Anomaly Detection Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dan dan Guo, Yi Chang

TMLR 2025 Diverse Condensed Data Generation via Class Preserving Distribution Matching Dandan Guo, Zhuo Li, He Zhao, Mingyuan Zhou, Hongyuan Zha

CVPR 2025 FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors Changlong Shi, He Zhao, Bingjie Zhang, Mingyuan Zhou, Dandan Guo, Yi Chang

ICLR 2025 FedLWS: Federated Learning with Adaptive Layer-Wise Weight Shrinking Changlong Shi, Jinmeng Li, He Zhao, Dan dan Guo, Yi Chang

NeurIPS 2025 LLM Meeting Decision Trees on Tabular Data Hangting Ye, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang

AAAI 2025 MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer Divyanshu Mishra, Pramit Saha, He Zhao, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou, J. Alison Noble

ICML 2025 Rényi Neural Processes Xuesong Wang, He Zhao, Edwin V. Bonilla

TMLR 2025 Synthesizing Minority Samples for Long-Tailed Classification via Distribution Matching Zhuo Li, He Zhao, Jinke Ren, Anningzhe Gao, Dandan Guo, Xiang Wan, Hongyuan Zha

ICML 2024 Distribution Alignment Optimization Through Neural Collapse for Long-Tailed Classification Jintong Gao, He Zhao, Dan Dan Guo, Hongyuan Zha

ICML 2024 Optimal Transport for Structure Learning Under Missing Data Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung

ICLR 2024 PTaRL: Prototype-Based Tabular Representation Learning via Space Calibration Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dan dan Guo, Yi Chang

ICML 2024 Parameter Estimation in DAGs from Incomplete Data via Optimal Transport Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung

CVPR 2024 Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition Filip Ilic, He Zhao, Thomas Pock, Richard P. Wildes

NeurIPSW 2024 Self-Supervised Pretext Tasks for Event Sequence Data from Detecting Misalignment Yimu Wang, He Zhao, Ruizhi Deng, Frederick Tung, Greg Mori

WACV 2023 Adversarial Local Distribution Regularization for Knowledge Distillation Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung

NeurIPS 2023 Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation Myong Chol Jung, He Zhao, Joanna Dipnall, Lan Du

NeurIPS 2023 Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-Tailed Classification Jintong Gao, He Zhao, Zhuo Li, Dandan Guo

TMLR 2023 Generating Adversarial Examples with Task Oriented Multi-Objective Optimization Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung

CVPR 2023 MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation Rezaul Karim, He Zhao, Richard P. Wildes, Mennatullah Siam

NeurIPS 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha, Dong Gong, He Zhao, Lina Yao

CVPR 2023 Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate Kiarash Mohammadi, He Zhao, Mengyao Zhai, Frederick Tung

ICML 2023 Transformed Distribution Matching for Missing Value Imputation He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla

ICML 2023 Vector Quantized Wasserstein Auto-Encoder Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Phung

AISTATS 2022 On Global-View Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Tran, Dinh Phung

AISTATS 2022 Particle-Based Adversarial Local Distribution Regularization Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung

ICLR 2022 A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Phung

NeurIPS 2022 Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha

UAI 2022 Cycle Class Consistency with Distributional Optimal Transport and Knowledge Distillation for Unsupervised Domain Adaptation Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Phung

NeurIPS 2022 Learning to Re-Weight Examples with Optimal Transport for Imbalanced Classification Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha

CVPR 2022 P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson

ICLR 2022 Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings Dongsheng Wang, Dan dan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou

ECCV 2022 Sports Video Analysis on Large-Scale Data Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes

NeurIPS 2022 Uncertainty Estimation for Multi-View Data: The Power of Seeing the Whole Picture Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du

AAAI 2021 Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung

UAI 2021 Most: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning Tuan Nguyen, Trung Le, He Zhao, Quan Hung Tran, Truyen Nguyen, Dinh Phung

ICLR 2021 Neural Topic Model via Optimal Transport He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray Buntine

IJCAI 2021 Optimal Transport for Deep Generative Models: State of the Art and Research Challenges Viet Huynh, Dinh Q. Phung, He Zhao

IJCAI 2021 Topic Modelling Meets Deep Neural Networks: A Survey He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine

IJCAI 2021 Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction Xin Tong, Xianghua Ying, Yongjie Shi, He Zhao, Ruibin Wang

ICCV 2021 Where Are You Heading? Dynamic Trajectory Prediction with Expert Goal Examples He Zhao, Richard P. Wildes

ECCV 2020 Improving Adversarial Robustness by Enforcing Local and Global Compactness Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung

NeurIPS 2020 OTLDA: A Geometry-Aware Optimal Transport Approach for Topic Modeling Viet Huynh, He Zhao, Dinh Phung

ECCV 2020 On Diverse Asynchronous Activity Anticipation He Zhao, Richard P. Wildes

AISTATS 2020 Variational Autoencoders for Sparse and Overdispersed Discrete Data He Zhao, Piyush Rai, Lan Du, Wray Buntine, Dinh Phung, Mingyuan Zhou

AISTATS 2018 Bayesian Multi-Label Learning with Sparse Features and Labels, and Label Co-Occurrences He Zhao, Piyush Rai, Lan Du, Wray L. Buntine

NeurIPS 2018 Dirichlet Belief Networks for Topic Structure Learning He Zhao, Lan Du, Wray Buntine, Mingyuan Zhou

ICML 2018 Inter and Intra Topic Structure Learning with Word Embeddings He Zhao, Lan Du, Wray Buntine, Mingyuan Zhou

ACML 2017 A Word Embeddings Informed Focused Topic Model He Zhao, Lan Du, Wray Buntine

ICML 2017 Leveraging Node Attributes for Incomplete Relational Data He Zhao, Lan Du, Wray Buntine