Le Chen
11 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(63)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
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Renaissance Researcher
(7)
Top co-authors
Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Reinforcement Learning
(4)
Deep Learning
(3)
Applications · Reinforcement Learning
(3)
Core AI
(3)
Computer Science
(2)
Natural Language Processing
(2)
Application Areas
(2)
Applications · Computer Science
(2)
Methods
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Robotics
(1)
Security & Privacy
(1)
Keywords
code translation
(2)
parallel programming
(2)
reinforcement learning
(2)
code generation
(2)
policy gradient
(1)
embedding learning
(1)
temporal modeling
(1)
in-context learning
(1)
performance optimization
(1)
dialogue generation
(1)
optimal transport
(1)
graph representation
(1)
synthetic data generation
(1)
trajectory optimization
(1)
graph embedding
(1)
continuous control
(1)
model-based reinforcement learning
(1)
occlusion handling
(1)
program analysis
(1)
motion estimation
(1)
Papers
Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation
ACL 2026
ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation
ACL 2026
AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs
NAACL 2025
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming
NeurIPS 2024
Identifying Policy Gradient Subspaces
ICLR 2024
LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
CVPR 2024
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
CoRL 2024
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
RSS 2024
Encrypted Databases Made Secure Yet Maintainable
OSDI 2023
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
NeurIPS 2023
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
CoRL 2020