Runsheng Yu
13 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Grand Slam
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Renaissance Researcher
(7)
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Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(9)
Core AI
(7)
Learning Types · Machine Learning
(7)
Deep Learning
(5)
Reinforcement Learning
(4)
Learning Types · Deep Learning
(4)
Methods
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Computer Vision
(2)
Application Areas
(2)
Learning Paradigms
(2)
Models
(2)
Keywords
generative adversarial network
(2)
policy learning
(2)
multi-agent reinforcement learning
(2)
reinforcement learning
(2)
continual learning
(1)
adversarial learning
(1)
langevin dynamics
(1)
large-scale optimization
(1)
variational inference
(1)
domain adaptation
(1)
entropy minimization
(1)
game theory
(1)
computational photography
(1)
information bottleneck
(1)
distributed constraint optimization
(1)
object detection
(1)
weakly supervised learning
(1)
text generation
(1)
few-shot learning
(1)
deep reinforcement learning
(1)
Papers
Particle Dynamics for Latent-Variable Energy-Based Models
UAI 2026
Beyond Dialogue: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model
ACL 2025
Improving Sharpness-Aware Minimization by Lookahead
ICML 2024
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games
AAAI 2024
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
ICLR 2023
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
CVPR 2022
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
AAAI 2022
Neural Regret-Matching for Distributed Constraint Optimization Problems
IJCAI 2021
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
AAAI 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
NeurIPS 2021
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning
IJCAI 2020
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
ICML 2020
DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning
NeurIPS 2018