Rui Yang
44 papers · 2015–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (12) π Academic Marathon (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (8)
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Cross-Pollinator
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Taxonomy Completionist
(67)
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Triple Crown
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Grand Slam
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(32)
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Century Club
(42)
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Keyword Collector
(145)
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Prolific Year
(9)
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Unstoppable
(6)
Conferences
ICLR (6)
ICML (6)
NIPS (6)
ACL (5)
AAAI (4)
ICCV (4)
IJCAI (4)
EMNLP (3)
COLING (2)
WACV (2)
CVPR (1)
ECCV (1)
Top co-authors
Keywords
large language model
(6)
offline reinforcement learning
(4)
style transfer
(3)
reinforcement learning from human feedback
(3)
sketch generation
(3)
benchmark evaluation
(2)
image generation
(2)
retrieval-augmented generation
(2)
semantic segmentation
(2)
knowledge graph
(2)
model alignment
(2)
reward model
(2)
self-supervised learning
(2)
human preference
(2)
weakly supervised learning
(2)
distribution shift
(2)
adversarial robustness
(2)
diffusion model
(2)
reward modeling
(2)
graph neural network
(2)
Papers
VideoSketcher: A Training-Free Approach for Coherent Video Sketch Transfer
WACV 2026
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models
AAAI 2026
Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation
AAAI 2026
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network
IJCAI 2025
One-Shot Reference-based Structure-Aware Image to Sketch Synthesis
AAAI 2025
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
ACL 2025
Rethinking Diverse Human Preference Learning through Principal Component Analysis
ACL 2025
RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert Collaboration
COLING 2025
Enhancing multi-modal Relation Extraction with Reinforcement Learning Guided Graph Diffusion Framework
COLING 2025
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
EMNLP 2025
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA
EMNLP 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning
EMNLP 2025
Stroke2Sketch: Harnessing Stroke Attributes for Training-Free Sketch Generation
ICCV 2025
REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout Alignment
ICCV 2025
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
ICLR 2025
Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning
ICLR 2025
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
ICLR 2025
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
ICML 2025
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
ICML 2025
HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding
ICML 2025
Predicting Spectral Information for Self-Supervised Signal Classification
IJCAI 2025
BATON: Aligning Text-to-Audio Model Using Human Preference Feedback
IJCAI 2024
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards
ACL 2024
Evaluating Large Language Models on Wikipedia-Style Survey Generation
ACL 2024
DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
ICML 2024
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
ACL 2024
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
ICLR 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
NIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
NIPS 2024
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
ICML 2024
BoxSnake: Polygonal Instance Segmentation with Box Supervision
ICCV 2023
Corruption-Robust Offline Reinforcement Learning with General Function Approximation
NIPS 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
AAAI 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?
ICML 2023
Indirect Adversarial Losses via an Intermediate Distribution for Training GANs
WACV 2023
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
NIPS 2023
Learning Pseudo-Relations for Cross-domain Semantic Segmentation
ICCV 2023
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
ICLR 2022
ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer
ECCV 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
NIPS 2022
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
NIPS 2022
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
ICLR 2021
Video Segmentation via Multiple Granularity Analysis
CVPR 2017
A Complete Epistemic Planner without the Epistemic Closed World Assumption
IJCAI 2015