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Zidong Du

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (69) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (28) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam ⚑ Prolific Year Β· Prolific πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer 🌈 Renaissance Researcher (9) πŸ—ƒοΈ Keyword Collector (163)

Venues

AAAI (10) NeurIPS (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

Artificial Intelligence (21) Machine Learning (21) Core AI (18) Deep Learning (12) Learning Types Β· Machine Learning (10) Reinforcement Learning (9) Application Areas (9) Learning Paradigms (8) Learning Types Β· Deep Learning (8) Methods (7) Core Methods (4) Natural Language Processing (3) Applications (3) Architectures (3) Models (3)

Keywords

neural network optimization (5) code generation (4) reinforcement learning (4) large language model (4) mutual information (4) transfer learning (3) model compression (2) neural network (2) multi-agent system (2) policy transfer (2) input-output example (2) query optimization (2) active learning (2) zero-shot generalization (2) emergent communication (2) few-shot learning (1) adversarial robustness (1) representation learning (1) multi-task learning (1) sample efficiency (1)

Papers

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