He Zhao

Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment ACL 2026 TraceTrans: Translation and Spatial Tracing for Surgical Prediction AAAI 2026 Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized? CVPR 2025 Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration CVPR 2025 Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning CVPR 2025 DRL: Decomposed Representation Learning for Tabular Anomaly Detection ICLR 2025 FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025 FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking ICLR 2025 GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation MICCAI 2025 MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer AAAI 2025 Neural Topic Modeling with Large Language Models in the Loop ACL 2025 Rényi Neural Processes ICML 2025 tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting MICCAI 2025 CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting MICCAI 2024 Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification ICML 2024 Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation MICCAI 2024 Optimal Transport for Structure Learning Under Missing Data ICML 2024 Parameter Estimation in DAGs from Incomplete Data via Optimal Transport ICML 2024 PTaRL: Prototype-based Tabular Representation Learning via Space Calibration ICLR 2024 Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition CVPR 2024 STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos MICCAI 2024 Adversarial Local Distribution Regularization for Knowledge Distillation WACV 2023 Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation NeurIPS 2023 Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification NeurIPS 2023 MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation CVPR 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning NeurIPS 2023 Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate CVPR 2023 Transformed Distribution Matching for Missing Value Imputation ICML 2023 Vector Quantized Wasserstein Auto-Encoder ICML 2023 Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport NeurIPS 2022 A Label-Aware Autoregressive Framework for Cross-Domain NER NAACL 2022 A Unified Wasserstein Distributional Robustness Framework for Adversarial Training ICLR 2022 Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation UAI 2022 Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification NeurIPS 2022 On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds AISTATS 2022 P3IV: Probabilistic Procedure Planning From Instructional Videos With Weak Supervision CVPR 2022 Particle-based Adversarial Local Distribution Regularization AISTATS 2022 Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings ICLR 2022 Sports Video Analysis on Large-Scale Data ECCV 2022 Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NeurIPS 2022 Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness AAAI 2021 Most: multi-source domain adaptation via optimal transport for student-teacher learning UAI 2021 Neural Attention-Aware Hierarchical Topic Model EMNLP 2021 Neural Topic Model via Optimal Transport ICLR 2021 Optimal Transport for Deep Generative Models: State of the Art and Research Challenges IJCAI 2021 Topic Modelling Meets Deep Neural Networks: A Survey IJCAI 2021 Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction IJCAI 2021 Where Are You Heading? Dynamic Trajectory Prediction With Expert Goal Examples ICCV 2021 Improving Adversarial Robustness by Enforcing Local and Global Compactness ECCV 2020 On Diverse Asynchronous Activity Anticipation ECCV 2020 OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling NeurIPS 2020 RDCFace: Radial Distortion Correction for Face Recognition CVPR 2020 SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction ACL 2020 Variational Autoencoders for Sparse and Overdispersed Discrete Data AISTATS 2020 A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature EMNLP 2019 Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification ICCV 2019 Leveraging Meta Information in Short Text Aggregation ACL 2019 Spatiotemporal Feature Residual Propagation for Action Prediction ICCV 2019 Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018 Dirichlet belief networks for topic structure learning NeurIPS 2018 Inter and Intra Topic Structure Learning with Word Embeddings ICML 2018 A Word Embeddings Informed Focused Topic Model ACML 2017 Leveraging Node Attributes for Incomplete Relational Data ICML 2017