Qi Cai
18 papers · 2018–2025 · 5 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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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
👑
Triple Crown
🤝
Dynamic Duo
(11)
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
❓
The Questioner
🗃️
Keyword Collector
(83)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(16)
Optimization & Theory
(12)
Reinforcement Learning
(8)
Methods
(8)
Deep Learning
(6)
Computer Vision
(5)
Learning Types · Deep Learning
(5)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Analysis
(3)
Core Methods
(3)
Application Areas
(2)
Domain-Specific
(2)
Generation
(2)
Learning Paradigms
(2)
Keywords
neural network
(6)
representation learning
(4)
reinforcement learning
(3)
policy gradient
(3)
global optimality
(3)
sample efficiency
(3)
global convergence
(2)
contrastive learning
(2)
bellman operator
(2)
temporal difference learning
(2)
regret bound
(2)
convergence rate
(2)
partially observable markov decision process
(2)
object detection
(2)
linear function approximation
(2)
offline reinforcement learning
(1)
policy evaluation
(1)
mean field theory
(1)
q-learning
(1)
deep reinforcement learning
(1)
Papers
PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
ICML 2025
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain
CVPR 2024
ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion
ICCV 2023
Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
ICLR 2023
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes
ICML 2022
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency
ICML 2022
BooVI: Provably Efficient Bootstrapped Value Iteration
NeurIPS 2021
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
NeurIPS 2020
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
ICML 2020
Joint Contrastive Learning with Infinite Possibilities
NeurIPS 2020
Learning a Unified Sample Weighting Network for Object Detection
CVPR 2020
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence
ICLR 2020
On the Global Optimality of Model-Agnostic Meta-Learning
ICML 2020
Provably Efficient Exploration in Policy Optimization
ICML 2020
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
CVPR 2019
Neural Temporal-Difference Learning Converges to Global Optima
NeurIPS 2019
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy
NeurIPS 2019
Memory Matching Networks for One-Shot Image Recognition
CVPR 2018