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Xing Hu

41 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (4) 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (10)
🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (68) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (21) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (33) πŸ—ƒοΈ Keyword Collector (162) ❓ The Questioner ⚑ Prolific Year (9)

Conferences

AAAI (10) NIPS (9) ICML (6) ICLR (5) IJCAI (4) CVPR (3) ACL (2) EMNLP (1) NAACL (1)

Top co-authors

Zidong Du (25) Rui Zhang (24) Qi Guo (23) Yunji Chen (22) Jiaming Guo (14) shaohui peng (13) xishan zhang (11) Ling Li (11) Qi Yi (10) Di Huang (9)

Research topics

Privacy (1)

Keywords

large language model (6) reinforcement learning (4) code generation (4) mutual information (3) 3d object detection (3) autonomous driving (3) representation learning (2) neural network (2) adversarial perturbation (2) diffusion model (2) policy transfer (2) adversarial robustness (2) transfer learning (2) mathematical reasoning (2) neural network compression (2) online learning (1) few-shot learning (1) multi-agent reinforcement learning (1) multi-task learning (1) deep reinforcement learning (1)

Papers

VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling AAAI 2026 QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization ACL 2026 SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios ACL 2026 Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions AAAI 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 FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection AAAI 2026 MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance ICML 2025 InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct AAAI 2025 PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram CVPR 2025 CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models EMNLP 2025 MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods ICLR 2025 OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting ICLR 2025 FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks ICML 2025 RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization ICML 2025 Automated Superscalar Processor Design by Learning Data Dependencies IJCAI 2025 DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization NAACL 2025 Automated CPU Design by Learning from Input-Output Examples IJCAI 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 Online Prototype Alignment for Few-shot Policy Transfer ICML 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NIPS 2023 Context Shift Reduction for Offline Meta-Reinforcement Learning NIPS 2023 BALTO: fast tensor program optimization with diversity-based active learning ICLR 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NIPS 2023 ANPL: Towards Natural Programming with Interactive Decomposition NIPS 2023 Online Symbolic Regression with Informative Query AAAI 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning NIPS 2023 DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection CVPR 2022 BabelTower: Learning to Auto-parallelized Program Translation ICML 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 Toward Robust Spiking Neural Network Against Adversarial Perturbation NIPS 2022 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 Dynamic Sparse Graph for Efficient Deep Learning ICLR 2019 Summarizing Source Code with Transferred API Knowledge IJCAI 2018