Guoqing Liu
18 papers · 2012–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Renaissance Researcher
(6)
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(97)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(6)
Deep Learning
(6)
Reinforcement Learning
(6)
Core AI
(6)
Core Methods
(6)
Methods
(6)
Optimization & Theory
(6)
Learning Types
(5)
Computer Vision
(3)
Analysis
(3)
Healthcare & Medicine
(2)
Natural Language Processing
(2)
Application Areas
(2)
Architectures
(2)
Keywords
reinforcement learning
(5)
drug design
(2)
drug discovery
(2)
feature learning
(2)
neural network optimization
(2)
evolutionary algorithm
(2)
multi-task learning
(1)
sample efficiency
(1)
representation learning
(1)
domain adaptation
(1)
policy gradient
(1)
multi-instance learning
(1)
sparse representation
(1)
direct preference optimization
(1)
spatio-temporal modeling
(1)
black-box optimization
(1)
geometric deep learning
(1)
model architecture
(1)
policy optimization
(1)
text generation
(1)
Papers
Proactive Constrained Policy Optimization with Preemptive Penalty
AAAI 2026
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
ICLR 2025
PASD: A Pixel-Adaptive Swarm Dynamics Approach for Unsupervised Low-Light Image Enhancement
ICCV 2025
Stochasticity-aware No-Reference Point Cloud Quality Assessment
IJCAI 2025
Trusted Multi-View Classification via Evolutionary Multi-View Fusion
ICLR 2025
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
ICLR 2024
Learning Multi-Task Sparse Representation Based on Fisher Information
AAAI 2024
StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences
NeurIPS 2024
Token-level Direct Preference Optimization
ICML 2024
De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
NeurIPS 2023
Efficiently incorporating quintuple interactions into geometric deep learning force fields
NeurIPS 2023
NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
ICCV 2023
Retrosynthetic Planning with Dual Value Networks
ICML 2023
Independence-aware Advantage Estimation
IJCAI 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning
ICLR 2021
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization
ICML 2019
Trust Region Evolution Strategies
AAAI 2019
Key Instance Detection in Multi-Instance Learning
ACML 2012