Sheng Chen

19 papers · 2014–2026 · 9 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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🗺️ Taxonomy Completionist (39) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🧬 Topic Evolution 🤝 Dynamic Duo (10) 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (104) 📈 Trend Setter

Venues

NeurIPS (7) AISTATS (2) CVPR (2) EMNLP (2) IJCAI (2) AAAI (1) ACL (1) COLT (1) ICML (1)

Top co-authors

Arindam Banerjee (10) Alan Fern (2) Vidyashankar Sivakumar (2) Sinisa Todorovic (2) Deheng Ye (2) Qiang Fu (2) Xindong Wu (2) Yi He (2) Wei Yang (2) Yuanyuan. Wang (1)

Research topics

Machine Learning (13) Core Methods (9) Optimization & Theory (9) Mathematics & Optimization (8) Optimization (6) Reinforcement Learning (3) Learning Types (3) Mathematics (3) Methods (3) Artificial Intelligence (2) Computer Vision (2) Deep Learning (2) Analysis (2) Applications (2) Core AI (2)

Keywords

gaussian width (4) compressed sensing (4) high-dimensional regression (3) sparse optimization (3) k-support norm (3) dantzig selector (3) online learning (2) statistical guarantee (2) generalized dantzig selector (2) multi-response regression (2) estimation error (2) high-dimensional statistics (2) information extraction (1) knowledge distillation (1) object detection (1) game artificial intelligence (1) semi-supervised learning (1) multi-agent reinforcement learning (1) compressive sensing (1) video understanding (1)

Papers

OptiCo: Adaptive Distributed Training Optimization via Collaborative Agent Reasoning ACL 2026 CoTD-PO: Chain-of-Thought Distillation with Preference Optimization EMNLP 2025 A GlobalPointer based Robust Approach for Information Extraction from Dialog Transcripts EMNLP 2022 MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks IJCAI 2021 Online Learning in Variable Feature Spaces under Incomplete Supervision AAAI 2021 Towards Playing Full MOBA Games with Deep Reinforcement Learning NeurIPS 2020 Online Learning from Capricious Data Streams: A Generative Approach IJCAI 2019 An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression NeurIPS 2018 Sparse Linear Isotonic Models AISTATS 2018 Alternating Estimation for Structured High-Dimensional Multi-Response Models NeurIPS 2017 Robust Structured Estimation with Single-Index Models ICML 2017 Structured Matrix Recovery via the Generalized Dantzig Selector NeurIPS 2016 One-bit Compressed Sensing with the k-Support Norm AISTATS 2015 Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs COLT 2015 Person Count Localization in Videos From Noisy Foreground and Detections CVPR 2015 Structured Estimation with Atomic Norms: General Bounds and Applications NeurIPS 2015 Estimation with Norm Regularization NeurIPS 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 Multi-Object Tracking via Constrained Sequential Labeling CVPR 2014