← Authors

Qi Guo

50 papers · 2016–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (93) πŸ† Grand Slam 🀝 Dynamic Duo (28) πŸ‘‘ Triple Crown πŸ† Keyword Champion 🧬 Topic Evolution πŸ’Ž Century Club (46) ⚑ Prolific Year (11) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (217) πŸ”₯ Unstoppable (6) ❓ The Questioner

Conferences

AAAI (11) NIPS (10) CVPR (5) ICML (5) IJCAI (5) EMNLP (3) ICLR (3) ACL (2) ECCV (2) ICCV (2) NAACL (1) OSDI (1)

Top co-authors

Yunji Chen (30) Zidong Du (25) Rui Zhang (25) Xing Hu (22) Jiaming Guo (17) shaohui peng (16) Ling Li (15) Ruizhi Chen (13) xishan zhang (12) Yuanbo Wen (12)

Research topics

Privacy (2)

Keywords

large language model (7) code generation (7) reinforcement learning (4) adversarial attack (3) mutual information (3) neural network optimization (3) transfer learning (3) neural network (3) multi-agent system (2) few-shot learning (2) emergent communication (2) gpu optimization (2) automatic code generation (2) image processing (2) text-to-image generation (2) performance optimization (2) natural language understanding (2) depth estimation (2) policy transfer (2) domain generalization (1)

Papers

Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective AAAI 2026
PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving Systems AAAI 2026
QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression AAAI 2026
QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026
Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables ICLR 2025
FinEval-KR: A Financial Domain Evaluation Framework for Large Language Models’ Knowledge and Reasoning EMNLP 2025
QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives IJCAI 2025
Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation ICCV 2025
Automated Superscalar Processor Design by Learning Data Dependencies IJCAI 2025
QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models AAAI 2025
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct AAAI 2025
QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm ACL 2025
QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach OSDI 2025
Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries CVPR 2025
Focal Split: Untethered Snapshot Depth from Differential Defocus CVPR 2025
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization NAACL 2025
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture EMNLP 2025
What Makes a Good Order of Examples in In-Context Learning ACL 2024
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation NIPS 2024
REDIR: Refocus-free Event-based De-occlusion Image Reconstruction ECCV 2024
AutoOS: Make Your OS More Powerful by Exploiting Large Language Models ICML 2024
Prompt-based Visual Alignment for Zero-shot Policy Transfer ICML 2024
AutoSurvey: Large Language Models Can Automatically Write Surveys NIPS 2024
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
Emergent Communication for Numerical Concepts Generalization AAAI 2024
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CVPR 2024
Generative Quanta Color Imaging CVPR 2024
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
ANPL: Towards Natural Programming with Interactive Decomposition NIPS 2023
Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning NIPS 2023
Context Shift Reduction for Offline Meta-Reinforcement Learning NIPS 2023
Online Symbolic Regression with Informative Query AAAI 2023
Debias NLU Datasets via Training-free Perturbations EMNLP 2023
BALTO: fast tensor program optimization with diversity-based active learning ICLR 2023
Quantized Distributed Training of Large Models with Convergence Guarantees ICML 2023
Online Prototype Alignment for Few-shot Policy Transfer ICML 2023
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning NIPS 2022
Object-Category Aware Reinforcement Learning NIPS 2022
BabelTower: Learning to Auto-parallelized Program Translation ICML 2022
Neural Program Synthesis with Query ICLR 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
Fixed-Point Back-Propagation Training CVPR 2020
DWM: A Decomposable Winograd Method for Convolution Acceleration AAAI 2020
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset ECCV 2018
Focal Track: Depth and Accommodation With Oscillating Lens Deformation ICCV 2017
Questimator: Generating Knowledge Assessments for Arbitrary Topics IJCAI 2016