← Authors

Sheng Chen

18 papers · 2014–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (35) 🧬 Topic Evolution 🀝 Dynamic Duo (10) πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (92) πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (9)

Conferences

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

Top co-authors

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

Research topics

Statistics (1)

Keywords

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

Papers

CoTD-PO: Chain-of-Thought Distillation with Preference Optimization EMNLP 2025
A GlobalPointer based Robust Approach for Information Extraction from Dialog Transcripts EMNLP 2022
Online Learning in Variable Feature Spaces under Incomplete Supervision AAAI 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks IJCAI 2021
Towards Playing Full MOBA Games with Deep Reinforcement Learning NIPS 2020
Online Learning from Capricious Data Streams: A Generative Approach IJCAI 2019
Sparse Linear Isotonic Models AISTATS 2018
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression NIPS 2018
Robust Structured Estimation with Single-Index Models ICML 2017
Alternating Estimation for Structured High-Dimensional Multi-Response Models NIPS 2017
Structured Matrix Recovery via the Generalized Dantzig Selector NIPS 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 NIPS 2015
Estimation with Norm Regularization NIPS 2014
Generalized Dantzig Selector: Application to the k-support norm NIPS 2014
Multi-Object Tracking via Constrained Sequential Labeling CVPR 2014