← Authors

Han Zhao

95 papers · 2015–2026 · 18 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (18) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (28) 🧭 Keyword Pioneer πŸƒ Academic Marathon (10) 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (14) πŸ† Keyword Champion (4) πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer ⚑ Prolific Year (11) πŸ’Ž Century Club (93) πŸ—ƒοΈ Keyword Collector (76)

Conferences

NIPS (18) ICML (17) ICLR (11) EMNLP (8) AAAI (6) CVPR (5) AISTATS (5) JMLR (5) ACL (4) ECCV (3) IJCAI (3) UAI (3) NAACL (2) COLING (1) ALT (1) PGM (1) RSS (1) SEMEVAL (1)

Top co-authors

Geoffrey J. Gordon (12) Donglin Wang (8) Haoxiang Wang (8) Pengxiang Ding (8) Yifei He (7) Yao-Hung Hubert Tsai (7) Jianfeng Chi (6) Bo Li (6) Pascal Poupart (6) Makoto Yamada (5)

Keywords

representation learning (11) domain adaptation (10) multimodal learning (7) domain generalization (6) sum-product network (6) distribution shift (5) graph neural network (5) large language model (4) reinforcement learning from human feedback (4) invariant representation (4) multi-task learning (4) variational inference (3) multi-objective optimization (3) adversarial learning (3) transfer learning (3) greedy algorithm (3) contrastive learning (3) reward modeling (3) information theory (3) algorithmic fairness (3)

Papers

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model AAAI 2026
ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver AAAI 2026
Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization UAI 2025
Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks NAACL 2025
ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning ICML 2025
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference AAAI 2025
Multiobjective distribution matching ICML 2025
Accelerating Neural ODEs: A Variational Formulation-based Approach ICLR 2025
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport ICLR 2025
VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation ICLR 2025
When LRP Diverges from Leave-One-Out in Transformers EMNLP 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025
Scaling Laws for Multilingual Language Models ACL 2025
Efficient Modality Selection in Multimodal Learning JMLR 2024
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch NIPS 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NIPS 2024
On the Expressive Power of Tree-Structured Probabilistic Circuits NIPS 2024
Learning Structured Representations with Hyperbolic Embeddings NIPS 2024
Most Influential Subset Selection: Challenges, Promises, and Beyond NIPS 2024
Dynamic Reactive Spiking Graph Neural Network AAAI 2024
Fair and Optimal Prediction via Post-Processing AAAI 2024
CQIL: Inference Latency Optimization with Concurrent Computation of Quasi-Independent Layers ACL 2024
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards ACL 2024
Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024
Towards Practical Non-Adversarial Distribution Matching AISTATS 2024
Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation CVPR 2024
PiTe: Pixel-Temporal Alignment for Large Video-Language Model ECCV 2024
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots ECCV 2024
Mitigating the Alignment Tax of RLHF EMNLP 2024
Semi-Supervised Reward Modeling via Iterative Self-Training EMNLP 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts EMNLP 2024
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods ICLR 2024
Robust Multi-Task Learning with Excess Risks ICML 2024
Pairwise Alignment Improves Graph Domain Adaptation ICML 2024
Differentially Private Post-Processing for Fair Regression ICML 2024
Gradual Domain Adaptation: Theory and Algorithms JMLR 2024
RL2AC: Reinforcement Learning-based Rapid Online Adaptive Control for Legged Robot Robust Locomotion RSS 2024
An Adaptive Prompt Generation Framework for Task-oriented Dialogue System EMNLP 2023
Understanding the Impact of Adversarial Robustness on Accuracy Disparity ICML 2023
Structural Re-weighting Improves Graph Domain Adaptation ICML 2023
Fair and Optimal Classification via Post-Processing ICML 2023
Adaptive Power Method: Eigenvector Estimation from Sampled Data ALT 2023
Efficient Learning of Linear Graph Neural Networks via Node Subsampling NIPS 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NIPS 2023
Adaptation Augmented Model-based Policy Optimization JMLR 2023
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning CVPR 2023
Learning Structured Representations by Embedding Class Hierarchy ICLR 2023
Learning List-Level Domain-Invariant Representations for Ranking NIPS 2023
Conditional Supervised Contrastive Learning for Fair Text Classification EMNLP 2022
Inherent Tradeoffs in Learning Fair Representations JMLR 2022
Fundamental Limits and Tradeoffs in Invariant Representation Learning JMLR 2022
DD-TIG at Constraint@ACL2022: Multimodal Understanding and Reasoning for Role Labeling of Entities in Hateful Memes ACL 2022
DD-TIG at SemEval-2022 Task 5: Investigating the Relationships Between Multimodal and Unimodal Information in Misogynous Memes Detection and Classification NAACL 2022
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations ICLR 2022
Conditional Contrastive Learning with Kernel ICLR 2022
Greedy modality selection via approximate submodular maximization UAI 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond ICML 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery ICML 2022
Invariant Information Bottleneck for Domain Generalization AAAI 2022
DD-TIG at SemEval-2022 Task 5: Investigating the Relationships Between Multimodal and Unimodal Information in Misogynous Memes Detection and Classification SEMEVAL 2022
Exploring Gradient-Based Multi-directional Controls in GANs ECCV 2022
Rethinking Controllable Variational Autoencoders CVPR 2022
Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning COLING 2022
Online Continual Adaptation with Active Self-Training AISTATS 2022
Towards Return Parity in Markov Decision Processes AISTATS 2022
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021
EventKE: Event-Enhanced Knowledge Graph Embedding EMNLP 2021
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections ICLR 2021
Self-supervised Representation Learning with Relative Predictive Coding ICLR 2021
Quantifying and Improving Transferability in Domain Generalization NIPS 2021
Understanding and Mitigating Accuracy Disparity in Regression ICML 2021
Information Obfuscation of Graph Neural Networks ICML 2021
Graph Debiased Contrastive Learning with Joint Representation Clustering IJCAI 2021
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation CVPR 2021
Model-based Policy Optimization with Unsupervised Model Adaptation NIPS 2020
Deep Fair Clustering for Visual Learning CVPR 2020
Neural Methods for Point-wise Dependency Estimation NIPS 2020
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation NIPS 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift NIPS 2020
On Learning Language-Invariant Representations for Universal Machine Translation ICML 2020
Conditional Learning of Fair Representations ICLR 2020
Continual Learning with Adaptive Weights (CLAW) ICLR 2020
Inherent Tradeoffs in Learning Fair Representations NIPS 2019
Learning Neural Networks with Adaptive Regularization NIPS 2019
On Strategyproof Conference Peer Review IJCAI 2019
On Learning Invariant Representations for Domain Adaptation ICML 2019
Efficient Multitask Feature and Relationship Learning UAI 2019
Adversarial Multiple Source Domain Adaptation NIPS 2018
Linear Time Computation of Moments in Sum-Product Networks NIPS 2017
A Unified Approach for Learning the Parameters of Sum-Product Networks NIPS 2016
Collapsed Variational Inference for Sum-Product Networks ICML 2016
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks AISTATS 2016
Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016
On the Relationship between Sum-Product Networks and Bayesian Networks ICML 2015
Self-Adaptive Hierarchical Sentence Model IJCAI 2015