Qi Zhou
14 papers · 2008–2026 · 6 conferences · across top CS/AI conferences
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π Interdisciplinary Bridge π Academic Marathon (17) π Conference Polyglot (6) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (28)
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Renaissance Researcher
(7)
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Interdisciplinary Bridge
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(6)
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(62)
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Century Club
(13)
Conferences
AAAI (9)
ACL (1)
ICCV (1)
ICML (1)
NIPS (1)
UAI (1)
Top co-authors
Research topics
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
Enhancing Zero-shot Object Counting via Text-guided Local Ranking and Number-evoked Global Attention
ICCV 2025
Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision
ICML 2025
Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving
AAAI 2024
High-Fidelity Gradient Inversion in Distributed Learning
AAAI 2024
Learning robust representation for reinforcement learning with distractions by reward sequence prediction
UAI 2023
Efficient Exploration in Resource-Restricted Reinforcement Learning
AAAI 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
AAAI 2023
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
AAAI 2022
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
AAAI 2022
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
AAAI 2021
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method
NIPS 2020
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization
AAAI 2020
A Probabilistic Model for Fine-Grained Expert Search
ACL 2008