Qi Zhou
14 papers · 2008–2026 · 6 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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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Full 𧬠Topic Evolution
ποΈ
Keyword Collector
(68)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
π
Trend Setter
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Core AI
(8)
Reinforcement Learning
(6)
Deep Learning
(5)
Application Areas
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Methods
(5)
Applications
(3)
Core Methods
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Keywords
sample efficiency
(4)
policy optimization
(3)
reinforcement learning
(2)
model-based reinforcement learning
(2)
representation learning
(2)
autonomous driving
(1)
uncertainty quantification
(1)
volume rendering
(1)
latent dirichlet allocation
(1)
robot control
(1)
embedding space
(1)
distributed learning
(1)
feature extraction
(1)
3d occupancy prediction
(1)
visual reinforcement learning
(1)
image reconstruction
(1)
continuous control
(1)
domain generalization
(1)
privacy attack
(1)
deep reinforcement learning
(1)
Papers
Reconstruction Attack-Resistant Inference Paradigm for LLM Cloud Services
AAAI 2026
Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision
ICML 2025
Enhancing Zero-shot Object Counting via Text-guided Local Ranking and Number-evoked Global Attention
ICCV 2025
High-Fidelity Gradient Inversion in Distributed Learning
AAAI 2024
Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving
AAAI 2024
Efficient Exploration in Resource-Restricted Reinforcement Learning
AAAI 2023
Learning robust representation for reinforcement learning with distractions by reward sequence prediction
UAI 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
AAAI 2023
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
AAAI 2022
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
AAAI 2022
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
AAAI 2021
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization
AAAI 2020
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method
NeurIPS 2020
A Probabilistic Model for Fine-Grained Expert Search
ACL 2008