He Zhao

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