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← Authors

Ruizhi Chen

18 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (6) πŸ—ΊοΈ Taxonomy Completionist (57)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🀝 Dynamic Duo (14) 🧬 Topic Evolution ⚑ Prolific Year (8) πŸ’Ž Century Club (17) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (98)

Conferences

AAAI (7) NIPS (6) ACL (1) CVPR (1) ICCV (1) ICML (1) IJCAI (1)

Top co-authors

Yunji Chen (15) shaohui peng (14) Qi Guo (13) Ling Li (12) Jiaming Guo (12) Rui Zhang (11) Zidong Du (10) Qi Yi (10) Xing Hu (8) xishan zhang (6)

Keywords

large language model (5) reinforcement learning (4) transfer learning (3) hand pose estimation (2) gpu optimization (2) performance optimization (2) emergent communication (2) code generation (2) automatic code generation (2) multi-agent system (2) mutual information (2) policy transfer (2) semi-supervised learning (1) domain generalization (1) policy optimization (1) multi-agent reinforcement learning (1) imitation learning (1) epistemic uncertainty (1) offline reinforcement learning (1) contrastive learning (1)

Papers

QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026 QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models AAAI 2025 QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives IJCAI 2025 QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm ACL 2025 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024 Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning AAAI 2024 Emergent Communication for Numerical Concepts Generalization AAAI 2024 Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NIPS 2023 Online Prototype Alignment for Few-shot Policy Transfer ICML 2023 Context Shift Reduction for Offline Meta-Reinforcement Learning NIPS 2023 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NIPS 2023 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning NIPS 2023 Emergent Communication for Rules Reasoning NIPS 2023 Causality-driven Hierarchical Structure Discovery for Reinforcement Learning NIPS 2022 Model-Based 3D Hand Reconstruction via Self-Supervised Learning CVPR 2021 SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning ICCV 2019