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← Authors

Zidong Du

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

Achievements

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+13 more ↓ πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (4) 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (11)
🌈 Renaissance Researcher (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (68) 🀝 Dynamic Duo (26) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam πŸ’Ž Century Club (27) ⚑ Prolific Year (10) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (151) πŸ”₯ Unstoppable (7) ❓ The Questioner

Conferences

AAAI (10) NIPS (10) ICML (3) IJCAI (3) CVPR (2) ICLR (2) ACL (1)

Top co-authors

Yunji Chen (28) Rui Zhang (27) Qi Guo (26) Xing Hu (25) Jiaming Guo (18) shaohui peng (15) xishan zhang (15) Qi Yi (12) Di Huang (12) Ling Li (11)

Research topics

Privacy (1)

Keywords

reinforcement learning (4) neural network optimization (4) large language model (4) code generation (4) mutual information (3) transfer learning (3) multi-agent system (2) policy transfer (2) model compression (2) neural network (2) emergent communication (2) few-shot learning (1) multi-agent reinforcement learning (1) online learning (1) adversarial robustness (1) multi-task learning (1) representation learning (1) causal inference (1) sample efficiency (1) temporal coding (1)

Papers

QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization ACL 2026 StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion AAAI 2026 QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression AAAI 2026 Efficient Diffusion Planning with Temporal Diffusion AAAI 2026 InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct AAAI 2025 Automated Superscalar Processor Design by Learning Data Dependencies IJCAI 2025 Emergent Communication for Numerical Concepts Generalization AAAI 2024 Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning AAAI 2024 Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CVPR 2024 Prompt-based Visual Alignment for Zero-shot Policy Transfer ICML 2024 Automated CPU Design by Learning from Input-Output Examples IJCAI 2024 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning NIPS 2023 Context Shift Reduction for Offline Meta-Reinforcement Learning NIPS 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NIPS 2023 Emergent Communication for Rules Reasoning NIPS 2023 Online Symbolic Regression with Informative Query AAAI 2023 BALTO: fast tensor program optimization with diversity-based active learning ICLR 2023 Online Prototype Alignment for Few-shot Policy Transfer ICML 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NIPS 2023 ANPL: Towards Natural Programming with Interactive Decomposition NIPS 2023 Accelerating Sparse Convolution with Column Vector-Wise Sparsity NIPS 2022 Object-Category Aware Reinforcement Learning NIPS 2022 Neural Program Synthesis with Query ICLR 2022 Causality-driven Hierarchical Structure Discovery for Reinforcement Learning NIPS 2022 BabelTower: Learning to Auto-parallelized Program Translation ICML 2022 ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers NIPS 2021 Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment IJCAI 2021 DWM: A Decomposable Winograd Method for Convolution Acceleration AAAI 2020 Fixed-Point Back-Propagation Training CVPR 2020 TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding AAAI 2019