Mingyang Sun
14 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
(81)
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Research topics
Artificial Intelligence
(10)
Machine Learning
(9)
Core AI
(9)
Deep Learning
(8)
Reinforcement Learning
(8)
Methods
(7)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Natural Language Processing
(4)
Applications Β· Reinforcement Learning
(4)
Core Methods
(4)
Application Areas
(3)
Applications Β· Natural Language Processing
(3)
Architectures
(2)
Generation
(2)
Keywords
deep reinforcement learning
(3)
multimodal sentiment analysis
(3)
slot filling
(2)
contrastive learning
(2)
multi-agent reinforcement learning
(2)
reinforcement learning
(2)
task-oriented dialogue
(2)
dialogue state tracking
(2)
power system
(2)
attention mechanism
(1)
feature distribution
(1)
optimal transport
(1)
adversarial learning
(1)
knowledge distillation
(1)
prototype learning
(1)
domain adaptation
(1)
gaussian splatting
(1)
multimodal learning
(1)
domain generalization
(1)
cross-domain learning
(1)
Papers
UniMGS: Unifying Mesh and 3D Gaussian Splatting with Single-Pass Rasterization and Proxy-Based Deformation
AAAI 2026
CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction
ICCV 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
ICML 2025
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
AAAI 2025
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making
ICML 2025
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities
AAAI 2024
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
CVPR 2024
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
NeurIPS 2024
AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems
AAAI 2023
Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards
CVPR 2023
Value type: the bridge to a better DST model
ACL 2023
Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking
EMNLP 2022
Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power Systems
IJCAI 2022
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid
IJCAI 2018