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Xiaoguang Niu

4 papers · 2023–2025 · 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 🗺️ Taxonomy Completionist (13)

Venues

AAAI (3) IJCAI (1)

Top co-authors

Steve Drew (3) Yuanzhuo Xu (3) jie Yang (2) Shubo Liu (1) Ruizhi Chen (1) Jiajun Wu (1) Yiheng Zhang (1) Shaowu Wu (1) Kaiyan Zhao (1) Ruiyi Su (1)

Research topics

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

Keywords

noisy label learning (2) sample efficiency (1) neural network training (1) epistemic uncertainty (1) label noise (1) determinantal point process (1) learning rate (1) convergence rate (1) sample selection (1) deep neural network (1) diversity sampling (1) generative adversarial network (1) noisy label (1) parameter update (1) experience replay (1) cholesky decomposition (1) jensen-shannon divergence (1) label correction (1) adaptive optimizer (1) neural network (1)

Papers

Efficient Diversity-based Experience Replay for Deep Reinforcement Learning IJCAI 2025 HVAdam: A Full-Dimension Adaptive Optimizer AAAI 2025 Revisiting Interpolation for Noisy Label Correction AAAI 2025 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023