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Shengjie Wang

21 papers · 2015–2025 · 7 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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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (43) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🀝 Dynamic Duo (10) πŸ“ˆ Trend Setter 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (106)

Venues

ICML (7) NeurIPS (6) CoRL (3) AISTATS (2) ICLR (1) NAACL (1) RSS (1)

Top co-authors

Tianyi Zhou (10) Jeff Bilmes (8) Yang Gao (5) Jeff A. Bilmes (4) Jiacheng You (2) Weirui Ye (2) Wenruo Bai (2) Chandrashekhar Lavania (2) Haotian Xu (2) Tao Zhang (2)

Research topics

Machine Learning (13) Learning Types (7) Deep Learning (6) Reinforcement Learning (6) Optimization & Theory (6) Application Areas (5) Applications (5) Methods (5) Artificial Intelligence (4) Mathematics & Optimization (3) Optimization (3) Computer Vision (2) Robotics (2) Architectures (2) Capabilities (2)

Keywords

curriculum learning (4) submodular optimization (3) deep neural network (3) neural network (2) multi-agent reinforcement learning (1) contrastive learning (1) stochastic optimization (1) stochastic gradient descent (1) representation learning (1) image segmentation (1) sample efficiency (1) adversarial learning (1) robust optimization (1) semi-supervised learning (1) network architecture (1) catastrophic forgetting (1) offline reinforcement learning (1) imitation learning (1) policy optimization (1) neural network training (1)

Papers

SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation RSS 2025 ToMA: Token Merge with Attention for Diffusion Models ICML 2025 An End-to-End Submodular Framework for Data-Efficient In-Context Learning NAACL 2024 DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands CoRL 2024 EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data ICML 2024 Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own CoRL 2024 A Policy Optimization Method Towards Optimal-time Stability CoRL 2023 Machine Learning Force Fields with Data Cost Aware Training ICML 2023 Retrospective Adversarial Replay for Continual Learning NeurIPS 2022 Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning NeurIPS 2022 Constrained Robust Submodular Partitioning NeurIPS 2021 Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021 Robust Curriculum Learning: from clean label detection to noisy label self-correction ICLR 2021 Curriculum Learning by Dynamic Instance Hardness NeurIPS 2020 Time-Consistent Self-Supervision for Semi-Supervised Learning ICML 2020 Bias Also Matters: Bias Attribution for Deep Neural Network Explanation ICML 2019 Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019 Jumpout : Improved Dropout for Deep Neural Networks with ReLUs ICML 2019 Diverse Ensemble Evolution: Curriculum Data-Model Marriage NeurIPS 2018 Analysis of Deep Neural Networks with Extended Data Jacobian Matrix ICML 2016 Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications NeurIPS 2015