Jianhui Chen

10 papers · 2008–2026 · 8 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 (29) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🏆 Keyword Champion 🧭 Keyword Pioneer 👥 Mega-Team · Squad 🧬 Topic Evolution 📈 Trend Setter 🚀 Conference Pioneer 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze 🗃️ Keyword Collector (61)

Venues

ACL (2) NeurIPS (2) AISTATS (1) CVPR (1) ICCV (1) ICLR (1) JMLR (1) WACV (1)

Top co-authors

Hao Peng (3) Jieping Ye (3) Juanzi Li (2) Lei Hou (2) Yong Guan (2) Zhiyuan Liu (2) Kaisheng Zeng (2) Zijun Yao (2) Xiaozhi Wang (2) Jie Zhou (1)

Research topics

Machine Learning (7) Optimization & Theory (5) Artificial Intelligence (4) Core Methods (4) Mathematics & Optimization (3) Core AI (3) Optimization (3) Deep Learning (2) Natural Language Processing (2) Learning Types (2) Resources & Methods (2) Computer Vision (1) Robotics (1) Analysis (1) Application Areas (1)

Keywords

convex optimization (3) multiple kernel learning (2) large language model (2) semidefinite programming (2) feature learning (1) online learning (1) stochastic gradient descent (1) compressive sensing (1) multi-task learning (1) embedding learning (1) text generation (1) convergence analysis (1) trajectory prediction (1) natural language understanding (1) numerical optimization (1) visual explanation (1) event argument extraction (1) model interpretability (1) signal reconstruction (1) benchmark evaluation (1)

Papers

Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures ACL 2026 KoLA: Carefully Benchmarking World Knowledge of Large Language Models ICLR 2024 MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation ACL 2024 BabelCalib: A Universal Approach to Calibrating Central Cameras ICCV 2021 Adapting Grad-CAM for Embedding Networks WACV 2020 Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees CVPR 2016 Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs AISTATS 2014 Clustered Multi-Task Learning Via Alternating Structure Optimization NeurIPS 2011 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008