yingnan zhao

4 papers · 2021–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10)

Venues

AAAI (2) NeurIPS (2)

Top co-authors

Linglong Kong (2) Bei Jiang (2) Ke Sun (2) Shangling Jui (1) Wulong Liu (1) Yafei Wang (1) Dewei Wang (1) Kun Fang (1) Dan Lu (1) Haibo Hu (1)

Research topics

Machine Learning (4) Learning Types (3) Artificial Intelligence (2) Reinforcement Learning (2) Core AI (2) Methods (2) Optimization & Theory · Machine Learning (2) Deep Learning (1) Mathematics & Optimization (1) Application Areas (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

deep reinforcement learning (2) contrastive learning (1) reinforcement learning (1) data poisoning (1) locomotion control (1) backdoor defense (1) knowledge distillation (1) convergence analysis (1) policy learning (1) distributional reinforcement learning (1) policy iteration (1) adaptive control (1) quasi-newton method (1) sinkhorn divergence (1) wasserstein loss (1) bellman return distribution (1) deep rl (1) multi-behavior learning (1) neural network (1) anderson mixing (1)

Papers

DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks AAAI 2026 Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning AAAI 2026 Distributional Reinforcement Learning with Regularized Wasserstein Loss NeurIPS 2024 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization NeurIPS 2021