Jiaming Guo
28 papers · 2013–2026 · 9 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(20)
Core AI
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Machine Learning
(16)
Reinforcement Learning
(10)
Deep Learning
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Methods
(8)
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Keywords
large language model
(5)
reinforcement learning
(4)
code generation
(3)
diffusion model
(3)
transfer learning
(3)
neural network optimization
(2)
policy transfer
(2)
mutual information
(2)
zero-shot learning
(2)
emergent communication
(2)
zero-shot generalization
(2)
multi-agent system
(2)
model selection
(1)
offline reinforcement learning
(1)
multi-agent reinforcement learning
(1)
few-shot learning
(1)
multi-task learning
(1)
representation learning
(1)
model compression
(1)
sample efficiency
(1)
Papers
ColorFLUX: A Structure-Color Decoupling Framework for Old Photo Colorization
CVPR 2026
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-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation
AAAI 2026
QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization
ACL 2026
Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation
AAAI 2026
Test-Time Preference Optimization for Image Restoration
AAAI 2026
QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach
OSDI 2025
Emergent Communication for Numerical Concepts Generalization
AAAI 2024
Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding
ACL 2024
Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning
AAAI 2024
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning
AAAI 2024
Prompt-based Visual Alignment for Zero-shot Policy Transfer
ICML 2024
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
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution
ECCV 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
NeurIPS 2022
Object-Category Aware Reinforcement Learning
NeurIPS 2022
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
IJCAI 2021
DWM: A Decomposable Winograd Method for Convolution Acceleration
AAAI 2020
Fixed-Point Back-Propagation Training
CVPR 2020
Perspective Motion Segmentation via Collaborative Clustering
ICCV 2013
Video Co-segmentation for Meaningful Action Extraction
ICCV 2013