Jinyi Liu
13 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (24) π Conference Polyglot (7) π Renaissance Researcher (6) π§ Keyword Pioneer
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Conference Polyglot
(7)
π€
Dynamic Duo
(10)
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Triple Crown
π
Grand Slam
β
The Questioner
π
Century Club
(11)
ποΈ
Keyword Collector
(59)
β‘
Prolific Year
(6)
Conferences
AAAI (4)
ACL (2)
ICLR (2)
IJCAI (2)
ICCV (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
large language model
(2)
reinforcement learning
(2)
policy optimization
(1)
temporal reasoning
(1)
question answering
(1)
multimodal learning
(1)
robot learning
(1)
optimism in face of uncertainty
(1)
elo rating
(1)
continuous control
(1)
policy improvement
(1)
vision language model
(1)
multimodal large language model
(1)
exploration strategy
(1)
optimism-based exploration
(1)
signal processing
(1)
drug discovery
(1)
retrieval-augmented generation
(1)
multi-agent debate
(1)
uncertainty quantification
(1)
Papers
Key Decision-Makers in Multi-Agent Debates: Who Holds the Power?
AAAI 2026
TFD-Net: Towards Intelligent Time-Frequency Mode Decomposition with Practical Applications
AAAI 2026
MΒ²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity
AAAI 2025
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering
ACL 2025
War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models
ACL 2025
RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-horizon Robot Demonstration
ICCV 2025
PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
NIPS 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
AAAI 2024
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
ICLR 2024
KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations
ICML 2024
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
IJCAI 2024
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement
IJCAI 2024
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
ICLR 2023