Da Wang

3 papers · 2024–2025 · 3 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

AAAI (1) ICML (1) NeurIPS (1)

Top co-authors

Jiye Liang (3) Lin Li (2) Jianye Hao (2) Wei Wei (2) Qixian Yu (2) Ting Guo (1) Jianchao Zeng (1) Kaihan Zhang (1)

Research topics

Machine Learning (3) Learning Types · Machine Learning (3) Reinforcement Learning (2) Methods (2) Artificial Intelligence (1) Deep Learning (1) Architectures (1) Core Methods (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

distribution shift (2) offline reinforcement learning (2) contrastive learning (1) zero-shot learning (1) adversarial learning (1) domain generalization (1) prototype learning (1) out-of-distribution generalization (1) graph embedding (1) spectral analysis (1) generalization error bound (1) latent distribution (1) node classification (1) node representation (1) class prototype (1) graph neural network (1) prediction bia (1) zero-shot node classification (1) adversarial process (1) spectral contrastive loss (1)

Papers

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting ICML 2024 SpeAr: A Spectral Approach for Zero-Shot Node Classification NeurIPS 2024