Qin Zhang
37 papers · 2005–2026 · 12 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (21) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(12)
🏃
Academic Marathon
(21)
🏆
Keyword Champion
🏆
Grand Slam
🗃️
Keyword Collector
(177)
🚀
Conference Pioneer
💎
Century Club
(36)
🔥
Unstoppable
(5)
📈
Trend Setter
⚡
Prolific Year
(10)
Conferences
AAAI (11)
CVPR (6)
NIPS (5)
ICML (3)
IJCAI (3)
ACL (2)
ICLR (2)
COLT (1)
ECCV (1)
EMNLP (1)
IJCNLP (1)
WACV (1)
Top co-authors
Keywords
graph neural network
(6)
multi-armed bandit
(4)
out-of-distribution detection
(3)
node classification
(3)
open-set classification
(2)
image segmentation
(2)
image clustering
(2)
sample complexity
(2)
contrastive learning
(2)
semantic space
(2)
prototype learning
(2)
distributed clustering
(2)
best arm identification
(2)
large language model
(2)
k-means clustering
(2)
semi-supervised learning
(2)
medical imaging
(2)
graph learning
(2)
density estimation
(1)
graph clustering
(1)
Papers
LR-AdaInSeg:Adaptive Instance Segmentation of Incomplete 3D Scenes Driven by Low-Rank Networks
AAAI 2026
AuthGuard: Generalizable Deepfake Detection via Language Guidance
WACV 2026
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
AAAI 2025
Understanding Large Language Model Vulnerabilities to Social Bias Attacks
ACL 2025
Faster Approximation Algorithms for k-Center via Data Reduction
ICML 2025
CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor Segmentation
CVPR 2025
Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels
CVPR 2025
Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing
CVPR 2025
Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
CVPR 2025
Breaking the $\log(1/\Delta_2)$ Barrier: Better Batched Best Arm Identification with Adaptive Grids
ICLR 2025
Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks
AAAI 2025
PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness
CVPR 2024
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
NIPS 2024
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
AAAI 2024
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
AAAI 2024
Multi-Level Cross-Modal Alignment for Image Clustering
AAAI 2024
Learning for Transductive Threshold Calibration in Open-World Recognition
CVPR 2024
Open-World Dynamic Prompt and Continual Visual Representation Learning
ECCV 2024
CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models
EMNLP 2024
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
ICLR 2024
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection
IJCAI 2024
Communication-Efficient Collaborative Best Arm Identification
AAAI 2023
Semantic-Enhanced Image Clustering
AAAI 2023
A Survey for Efficient Open Domain Question Answering
ACL 2023
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
IJCAI 2023
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks
AAAI 2023
Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit
AAAI 2022
Deep Unsupervised Hashing with Latent Semantic Components
AAAI 2022
Multinomial Logit Bandit with Low Switching Cost
ICML 2020
Batched Coarse Ranking in Multi-Armed Bandits
NIPS 2020
A Practical Algorithm for Distributed Clustering and Outlier Detection
NIPS 2018
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
NIPS 2018
Adaptive Multiple-Arm Identification
ICML 2017
Unsupervised Feature Learning from Time Series
IJCAI 2016
Communication-Optimal Distributed Clustering
NIPS 2016
Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables
COLT 2013
Classifying Chinese Texts in Two Steps
IJCNLP 2005