Yunji Chen

41 papers · 2019–2026 · 9 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🏃 Academic Marathon (6) 🐝 Cross-Pollinator (4) 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (10)

🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🤝 Dynamic Duo (28) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (10) 🧬 Topic Evolution 💎 Century Club (37) ⚡ Prolific Year (12) 🚀 Conference Pioneer 🔥 Unstoppable (7) 🗃️ Keyword Collector (183)

Conferences

NIPS (14) AAAI (12) ICML (4) IJCAI (4) ACL (2) ICLR (2) CVPR (1) EMNLP (1) OSDI (1)

Top co-authors

Qi Guo (31) Rui Zhang (30) Zidong Du (28) Xing Hu (22) Jiaming Guo (21) Ling Li (19) shaohui peng (19) Ruizhi Chen (15) xishan zhang (15) Qi Yi (13)

Keywords

large language model (10) code generation (8) reinforcement learning (4) neural network optimization (4) mutual information (3) model compression (3) transfer learning (3) domain adaptation (3) neural network (3) automatic code generation (2) emergent communication (2) gpu optimization (2) efficient computing (2) multi-agent system (2) neural machine translation (2) performance optimization (2) policy transfer (2) object detection (2) adversarial robustness (1) feature learning (1)

Papers

QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression AAAI 2026 QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026 Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation AAAI 2026 QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization ACL 2026 QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm ACL 2025 QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models AAAI 2025 InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct AAAI 2025 QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach OSDI 2025 QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives IJCAI 2025 Automated Superscalar Processor Design by Learning Data Dependencies IJCAI 2025 Introducing Compiler Semantics into Large Language Models as Programming Language Translators: A Case Study of C to x86 Assembly EMNLP 2024 DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection NIPS 2024 Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning AAAI 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024 Emergent Communication for Numerical Concepts Generalization AAAI 2024 AutoOS: Make Your OS More Powerful by Exploiting Large Language Models ICML 2024 Prompt-based Visual Alignment for Zero-shot Policy Transfer ICML 2024 Automated CPU Design by Learning from Input-Output Examples IJCAI 2024 Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023 Learning Domain-Aware Detection Head with Prompt Tuning NIPS 2023 ANPL: Towards Natural Programming with Interactive Decomposition NIPS 2023 Emergent Communication for Rules Reasoning NIPS 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NIPS 2023 BALTO: fast tensor program optimization with diversity-based active learning ICLR 2023 Online Prototype Alignment for Few-shot Policy Transfer ICML 2023 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning NIPS 2023 Context Shift Reduction for Offline Meta-Reinforcement Learning NIPS 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NIPS 2023 Online Symbolic Regression with Informative Query AAAI 2023 Non-autoregressive Machine Translation with Probabilistic Context-free Grammar NIPS 2023 Object-Category Aware Reinforcement Learning NIPS 2022 BabelTower: Learning to Auto-parallelized Program Translation ICML 2022 Causality-driven Hierarchical Structure Discovery for Reinforcement Learning NIPS 2022 Accelerating Sparse Convolution with Column Vector-Wise Sparsity NIPS 2022 Neural Program Synthesis with Query ICLR 2022 Distilling Object Detectors with Feature Richness NIPS 2021 Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment IJCAI 2021 ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers NIPS 2021 Fixed-Point Back-Propagation Training CVPR 2020 DWM: A Decomposable Winograd Method for Convolution Acceleration AAAI 2020 TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding AAAI 2019