← Authors

Quan Zhou

13 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

๐ŸŒˆ Renaissance Researcher (7) ๐Ÿ—บ๏ธ Taxonomy Completionist (27) ๐Ÿงญ Keyword Pioneer ๐ŸŒ Conference Polyglot (8) ๐Ÿƒ Academic Marathon (6) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿ Cross-Pollinator (11) ๐Ÿ† Grand Slam ๐Ÿ—ƒ๏ธ Keyword Collector (63) ๐Ÿ’Ž Century Club (12) ๐Ÿ”ฅ Unstoppable (7)

Conferences

AAAI (3) AISTATS (2) ICML (2) IJCAI (2) EMNLP (1) ICLR (1) MICCAI (1) NIPS (1)

Top co-authors

Xingbo Liu (2) Yilong Yin (2) Guanchu Wang (2) Xuanting Cai (2) Xiushan Nie (2) Pushkar Tripathi (2) Fan Yang (2) Xia Hu (2) Yu-Neng Chuang (2) Haiming Zhang (1)

Keywords

markov chain monte carlo (2) model selection (1) coreset selection (1) bayesian inference (1) image retrieval (1) optimal transport (1) convex optimization (1) 3d vision (1) multi-modal learning (1) feature attribution (1) deep hashing (1) neural network training (1) posterior distribution (1) importance sampling (1) kullback-leibler divergence (1) stochastic control (1) time series forecasting (1) score matching (1) pairwise similarity (1) model compression (1)

Papers

Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training AAAI 2026
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
KAN-AD: Time Series Anomaly Detection with Kolmogorovโ€“Arnold Networks ICML 2025
Soft-constrained Schrรถdinger 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 NIPS 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