← Authors

He Zhao

63 papers · 2017–2026 · 17 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (8) 🌍 Conference Polyglot (17) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (18) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ—ƒοΈ Keyword Collector (237) πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ”₯ Unstoppable (9) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ’Ž Century Club (62)

Conferences

CVPR (9) NIPS (8) ICML (8) ICLR (6) MICCAI (5) AISTATS (4) IJCAI (3) ICCV (3) ECCV (3) ACL (3) AAAI (3) EMNLP (2) UAI (2) ACML (1) IJCNLP (1) NAACL (1) WACV (1)

Top co-authors

Dinh Phung (17) Trung Le (12) Lan Du (12) Wray Buntine (10) Mingyuan Zhou (8) Richard P. Wildes (7) Dandan Guo (6) Jianyang Xie (5) Dan dan Guo (5) Yanda Meng (5)

Keywords

optimal transport (8) domain adaptation (5) topic model (4) gibbs sampling (4) multi-task learning (3) knowledge distillation (3) word embedding (3) uncertainty estimation (3) topic modeling (3) generative model (2) distribution matching (2) document classification (2) semantic embedding (2) adversarial robustness (2) semantic segmentation (2) variational inference (2) named entity recognition (2) text classification (2) wasserstein distance (2) bayesian inference (2)

Papers

TraceTrans: Translation and Spatial Tracing for Surgical Prediction AAAI 2026
tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting MICCAI 2025
GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation MICCAI 2025
RΓ©nyi 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
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning CVPR 2025
MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer AAAI 2025
Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized? CVPR 2025
Neural Topic Modeling with Large Language Models in the Loop ACL 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration ICLR 2024
Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition CVPR 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
STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos MICCAI 2024
MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation CVPR 2023
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate CVPR 2023
Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification NIPS 2023
Transformed Distribution Matching for Missing Value Imputation ICML 2023
Adversarial Local Distribution Regularization for Knowledge Distillation WACV 2023
Vector Quantized Wasserstein Auto-Encoder ICML 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning NIPS 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation NIPS 2023
P3IV: Probabilistic Procedure Planning From Instructional Videos With Weak Supervision CVPR 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training ICLR 2022
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings ICLR 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NIPS 2022
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds AISTATS 2022
Particle-based Adversarial Local Distribution Regularization AISTATS 2022
Sports Video Analysis on Large-Scale Data ECCV 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
A Label-Aware Autoregressive Framework for Cross-Domain NER NAACL 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport NIPS 2022
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness AAAI 2021
Neural Attention-Aware Hierarchical Topic Model EMNLP 2021
Where Are You Heading? Dynamic Trajectory Prediction With Expert Goal Examples ICCV 2021
Neural Topic Model via Optimal Transport ICLR 2021
Most: multi-source domain adaptation via optimal transport for student-teacher learning UAI 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
Improving Adversarial Robustness by Enforcing Local and Global Compactness ECCV 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
On Diverse Asynchronous Activity Anticipation ECCV 2020
OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling NIPS 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 IJCNLP 2019
Spatiotemporal Feature Residual Propagation for Action Prediction ICCV 2019
Leveraging Meta Information in Short Text Aggregation ACL 2019
Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification ICCV 2019
A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature EMNLP 2019
Inter and Intra Topic Structure Learning with Word Embeddings ICML 2018
Dirichlet belief networks for topic structure learning NIPS 2018
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018
Leveraging Node Attributes for Incomplete Relational Data ICML 2017
A Word Embeddings Informed Focused Topic Model ACML 2017