Qi Guo
51 papers · 2016–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Cross-Pollinator (5) π§ Keyword Pioneer π Conference Polyglot (12) π Renaissance Researcher (11)
π
Renaissance Researcher
(11)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(93)
π
Grand Slam
π€
Dynamic Duo
(28)
π
Triple Crown
π
Keyword Champion
π§¬
Topic Evolution
π
Century Club
(46)
β‘
Prolific Year
(11)
π
Conference Pioneer
ποΈ
Keyword Collector
(217)
π₯
Unstoppable
(6)
β
The Questioner
Conferences
AAAI (11)
NIPS (10)
CVPR (5)
ICML (5)
IJCAI (5)
ACL (3)
EMNLP (3)
ICLR (3)
ECCV (2)
ICCV (2)
NAACL (1)
OSDI (1)
Top co-authors
Research topics
Keywords
large language model
(8)
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
QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization
ACL 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
Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective
AAAI 2026
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
NAACL 2025
Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation
ICCV 2025
QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives
IJCAI 2025
Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables
ICLR 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
Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries
CVPR 2025
Focal Split: Untethered Snapshot Depth from Differential Defocus
CVPR 2025
QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach
OSDI 2025
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture
EMNLP 2025
FinEval-KR: A Financial Domain Evaluation Framework for Large Language Modelsβ Knowledge and Reasoning
EMNLP 2025
REDIR: Refocus-free Event-based De-occlusion Image Reconstruction
ECCV 2024
AutoSurvey: Large Language Models Can Automatically Write Surveys
NIPS 2024
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
CVPR 2024
Automated CPU Design by Learning from Input-Output Examples
IJCAI 2024
Prompt-based Visual Alignment for Zero-shot Policy Transfer
ICML 2024
AutoOS: Make Your OS More Powerful by Exploiting Large Language Models
ICML 2024
Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning
AAAI 2024
Emergent Communication for Numerical Concepts Generalization
AAAI 2024
Generative Quanta Color Imaging
CVPR 2024
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
NIPS 2024
What Makes a Good Order of Examples in In-Context Learning
ACL 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
Object-Category Aware Reinforcement Learning
NIPS 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
NIPS 2022
BabelTower: Learning to Auto-parallelized Program Translation
ICML 2022
Neural Program Synthesis with Query
ICLR 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
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