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Yunji Chen
21 papers at tracked venues · 17 at CORE A* · active 2024–2026
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ORCID 0000-0003-3925-5185 ↗
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AAAI
×8
NeurIPS
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IJCAI
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ACL
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ICML
×2
EMNLP
×1
Frequent coauthors
Changxin Ke
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Shuyao Cheng
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Qirui Zhou
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Lei Huang
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Xinguo Zhu
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Yu Zhong
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Yutong Wu
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Yaoyu Zhu
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Hainan Fang
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Yang Zhang
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Xuzhi Zhang
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Huilai Chen
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Papers
QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression
AAAI 2026
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Lei Huang
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QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation
AAAI 2026
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Xinguo Zhu
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QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization
ACL 2026
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Changxin Ke
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Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation
AAAI 2026
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Yu Zhong
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Automated Superscalar Processor Design by Learning Data Dependencies
IJCAI 2025
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Shuyao Cheng
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InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
AAAI 2025
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Yutong Wu
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QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm
ACL 2025
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Qirui Zhou
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QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation
NeurIPS 2025
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Yaoyu Zhu
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QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models
AAAI 2025
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Qirui Zhou
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QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
NeurIPS 2025
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Changxin Ke
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QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
NeurIPS 2025
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Hainan Fang
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QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
NeurIPS 2025
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Yang Zhang
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QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives
IJCAI 2025
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Xuzhi Zhang
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AutoOS: Make Your OS More Powerful by Exploiting Large Language Models
ICML 2024
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Huilai Chen
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Automated CPU Design by Learning from Input-Output Examples
IJCAI 2024
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Shuyao Cheng
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DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
NeurIPS 2024
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Haochen Li
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Emergent Communication for Numerical Concepts Generalization
AAAI 2024
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Enshuai Zhou
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Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning
AAAI 2024
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Shaohui Peng
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Introducing Compiler Semantics into Large Language Models as Programming Language Translators: A Case Study of C to x86 Assembly
EMNLP 2024
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Shuoming Zhang
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OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning
AAAI 2024
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Fan Wu
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Prompt-based Visual Alignment for Zero-shot Policy Transfer
ICML 2024
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Haihan Gao
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