Guangquan Zhang
18 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Achievements
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(17)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Research topics
Machine Learning
(14)
Learning Types Β· Machine Learning
(10)
Optimization & Theory
(8)
Artificial Intelligence
(6)
Core Methods
(5)
Deep Learning
(4)
Learning Paradigms
(4)
Core AI
(3)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Analysis
(1)
Application Areas
(1)
Keywords
concept drift
(5)
drift detection
(3)
knowledge distillation
(2)
representation learning
(2)
data stream
(2)
unsupervised domain adaptation
(2)
gaussian mixture model
(2)
continual learning
(2)
online learning
(1)
few-shot learning
(1)
deep reinforcement learning
(1)
multimodal learning
(1)
policy learning
(1)
density estimation
(1)
covariate shift adaptation
(1)
change detection
(1)
column generation
(1)
hypothesis testing
(1)
covariate shift
(1)
partial label learning
(1)
Papers
Autonomous Concept Drift Threshold Determination
AAAI 2026
Discovering Mixture Skills for Unsupervised Reinforcement Learning
AAAI 2026
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
AAAI 2026
PARS: Partial-Label-Learning-inspired Recommender Systems
AAAI 2026
TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
ACL 2026
Early Concept Drift Detection via Prediction Uncertainty
AAAI 2025
On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering
ICCV 2025
Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer
ICLR 2025
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
IJCAI 2024
Adaptive Stabilization Based on Machine Learning for Column Generation
ICML 2024
Knowledge Distillation with Auxiliary Variable
ICML 2024
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
AAAI 2024
Meta OOD Learning For Continuously Adaptive OOD Detection
ICCV 2023
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
AAAI 2021
Learning Bounds for Open-Set Learning
ICML 2021
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
IJCAI 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests
ICML 2020
Regional Concept Drift Detection and Density Synchronized Drift Adaptation
IJCAI 2017