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Han Bao

34 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ ๐Ÿƒ Academic Marathon (7) ๐ŸŒ Conference Polyglot (12) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿงญ Keyword Pioneer ๐Ÿ Cross-Pollinator (12)
๐Ÿ Cross-Pollinator (12) ๐ŸŒˆ Renaissance Researcher (10) ๐Ÿ—บ๏ธ Taxonomy Completionist (55) ๐Ÿ† Grand Slam ๐Ÿ† Keyword Champion (2) ๐Ÿš€ Conference Pioneer ๐Ÿ”ฅ Unstoppable (8) ๐Ÿ’Ž Century Club (33) โ“ The Questioner ๐Ÿ—ƒ๏ธ Keyword Collector (137) โšก Prolific Year (6)

Conferences

AISTATS (7) AAAI (6) ICML (5) COLT (3) NIPS (3) ACL (2) ICLR (2) IJCAI (2) ACML (1) ICCV (1) JMLR (1) NSDI (1)

Research topics

Papers

Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats ACL 2026 Calm Composite Losses: Being Improper Yet Proper Composite AISTATS 2025 LiD-FL: Towards List-Decodable Federated Learning AAAI 2025 Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchelโ€“Young Loss Perspective and Gap-Dependent Regret Analysis AISTATS 2025 Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States AISTATS 2025 PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis ICLR 2025 TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models ICLR 2025 FlatQuant: Flatness Matters for LLM Quantization ICML 2025 Proper losses regret at least 1/2-order JMLR 2025 Online Structured Prediction with Fenchelโ€“Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss COLT 2024 Self-attention Networks Localize When QK-eigenspectrum Concentrates ICML 2024 Referee-Meta-Learning for Fast Adaptation of Locational Fairness AAAI 2024 Zipfian Whitening NIPS 2024 Parameter-free Clipped Gradient Descent Meets Polyak NIPS 2024 Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024 Pluggable Watermarking of Deepfake Models for Deepfake Detection IJCAI 2024 Will Large-scale Generative Models Corrupt Future Datasets? ICCV 2023 Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence NIPS 2023 Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds COLT 2023 Unbalanced Optimal Transport for Unbalanced Word Alignment ACL 2023 BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo AAAI 2023 Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics AAAI 2023 IMap: Fast and Scalable In-Network Scanning with Programmable Switches NSDI 2022 Pairwise Supervision Can Provably Elicit a Decision Boundary AISTATS 2022 On the Surrogate Gap between Contrastive and Supervised Losses ICML 2022 Fairness by โ€œWhereโ€: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework AAAI 2022 Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract) IJCAI 2022 Robust computation of optimal transport by $ฮฒ$-potential regularization ACML 2022 Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation AISTATS 2021 Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification AISTATS 2020 Calibrated Surrogate Losses for Adversarially Robust Classification COLT 2020 Unsupervised Domain Adaptation Based on Source-Guided Discrepancy AAAI 2019 Imitation Learning from Imperfect Demonstration ICML 2019 Classification from Pairwise Similarity and Unlabeled Data ICML 2018