Xing Hu

Efficient Diffusion Planning with Temporal Diffusion AAAI 2026 FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection 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 Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions AAAI 2026 SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios ACL 2026 StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion AAAI 2026 VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling AAAI 2026 Automated Superscalar Processor Design by Learning Data Dependencies IJCAI 2025 CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models EMNLP 2025 DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization NAACL 2025 FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks ICML 2025 InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct AAAI 2025 MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods ICLR 2025 MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance ICML 2025 OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting ICLR 2025 PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram CVPR 2025 RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization ICML 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 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 Online Prototype Alignment for Few-shot Policy Transfer ICML 2023 Online Symbolic Regression with Informative Query AAAI 2023 BabelTower: Learning to Auto-parallelized Program Translation ICML 2022 Causality-driven Hierarchical Structure Discovery for Reinforcement Learning NeurIPS 2022 DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection CVPR 2022 Neural Program Synthesis with Query ICLR 2022 Object-Category Aware Reinforcement Learning NeurIPS 2022 Toward Robust Spiking Neural Network Against Adversarial Perturbation 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 Dynamic Sparse Graph for Efficient Deep Learning ICLR 2019 Summarizing Source Code with Transferred API Knowledge IJCAI 2018