Qingpeng Cai
14 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27)
π
Grand Slam
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Keyword Champion
(3)
ποΈ
Keyword Collector
(73)
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(10)
Reinforcement Learning
(10)
Learning Types Β· Machine Learning
(10)
Methods
(9)
Applications Β· Reinforcement Learning
(6)
Artificial Intelligence
(5)
Core AI
(4)
Deep Learning
(3)
Learning Types Β· Deep Learning
(3)
Data Science & Analytics
(2)
Application Areas
(2)
Applications Β· Data Science & Analytics
(2)
Models
(2)
Computer Vision
(1)
Core Methods
(1)
Keywords
reinforcement learning
(4)
deep deterministic policy gradient
(3)
recommender system
(2)
model-based reinforcement learning
(2)
continuous control
(2)
deep reinforcement learning
(2)
sequential recommendation
(2)
user simulation
(2)
policy evaluation
(1)
image captioning
(1)
semi-supervised learning
(1)
pseudo labeling
(1)
medical image classification
(1)
hierarchical reinforcement learning
(1)
sentiment analysis
(1)
ensemble learning
(1)
adversarial learning
(1)
exploration exploitation
(1)
value iteration
(1)
domain adaptation
(1)
Papers
Flow Factorization for Efficient Generative Flow Networks
AAAI 2025
LLM-Powered User Simulator for Recommender System
AAAI 2025
Random Policy Evaluation Uncovers Policies of Generative Flow Networks
ICML 2025
KuaiSim: A Comprehensive Simulator for Recommender Systems
NeurIPS 2023
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
ICLR 2023
State Regularized Policy Optimization on Data with Dynamics Shift
NeurIPS 2023
BoostMIS: Boosting Medical Image Semi-Supervised Learning With Adaptive Pseudo Labeling and Informative Active Annotation
CVPR 2022
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning
AAAI 2022
Deterministic Value-Policy Gradients
AAAI 2020
Reinforcement Learning with Dynamic Boltzmann Softmax Updates
IJCAI 2020
Softmax Deep Double Deterministic Policy Gradients
NeurIPS 2020
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems
AAAI 2019
Policy Optimization with Model-Based Explorations
AAAI 2019
Facility Location with Minimax Envy
IJCAI 2016