Quan Zhou
13 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Sprint 🏆 Grand Slam
🗃️
Keyword Collector
(72)
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(6)
Optimization & Theory
(6)
Artificial Intelligence
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Application Areas
(3)
Core AI
(3)
Learning Types
(3)
Optimization
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Analysis
(2)
Methods
(2)
Natural Language Processing
(1)
Keywords
model explanation
(2)
markov chain monte carlo
(2)
contrastive learning
(1)
model selection
(1)
convex optimization
(1)
bayesian inference
(1)
time series anomaly detection
(1)
posterior distribution
(1)
optimal transport
(1)
coreset selection
(1)
multimodal learning
(1)
3d vision
(1)
feature attribution
(1)
deep hashing
(1)
image retrieval
(1)
neural network training
(1)
importance sampling
(1)
kullback-leibler divergence
(1)
stochastic control
(1)
representation learning
(1)
Papers
Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
AAAI 2026
KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
ICML 2025
PEPE: Long-context Extension for Large Language Models via Periodic Extrapolation Positional Encodings
EMNLP 2025
Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection
MICCAI 2025
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach
AISTATS 2024
CoRTX: Contrastive Framework for Real-time Explanation
ICLR 2023
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
IJCAI 2023
Accelerating Shapley Explanation via Contributive Cooperator Selection
ICML 2022
Rapid Convergence of Informed Importance Tempering
AISTATS 2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
NeurIPS 2022
Fairness in Forecasting and Learning Linear Dynamical Systems
AAAI 2021
Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract)
AAAI 2020
Supervised Short-Length Hashing
IJCAI 2019