← Authors

Qiang Wu

26 papers · 2004–2026 · 10 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (21) πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌱 Topic Pioneer πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (146) πŸ“ˆ Trend Setter πŸ’Ž Century Club (24) πŸ”₯ Unstoppable (7)

Conferences

JMLR (7) AAAI (5) NIPS (4) CVPR (3) ICCV (2) ACL (1) ECCV (1) EMNLP (1) ICML (1) INTERSPEECH (1)

Top co-authors

Yan Huang (4) Sayan Mukherjee (4) Yi Zhong (3) Jian Zhang (3) Zhihang Yuan (2) Dawei Yang (2) Linyuan LΓΌ (2) Feng Liang (2) JingSong Xu (2) Ying Wu (1)

Keywords

kernel methods (4) semi-supervised learning (3) reproducing kernel hilbert space (3) dimension reduction (2) supervised learning (2) person re-identification (2) distributed learning (2) gradient estimation (2) large language model (2) representation learning (1) dirichlet process (1) few-shot learning (1) temporal modeling (1) variable selection (1) model quantization (1) unsupervised learning (1) feature learning (1) anomaly detection (1) transformer architecture (1) domain adaptation (1)

Papers

VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling AAAI 2026
OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs AAAI 2026
MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices AAAI 2025
PersonaX: A Recommendation Agent-Oriented User Modeling Framework for Long Behavior Sequence ACL 2025
Enhanced Visual-Semantic Interaction with Tailored Prompts for Pedestrian Attribute Recognition CVPR 2025
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability CVPR 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis NIPS 2024
Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes AAAI 2024
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration CVPR 2023
A Novel Phoneme-based Modeling for Text-independent Speaker Identification INTERSPEECH 2022
PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization ECCV 2022
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control ICML 2022
Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021
Clothing Status Awareness for Long-Term Person Re-Identification ICCV 2021
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning AAAI 2021
Field-wise Learning for Multi-field Categorical Data NIPS 2020
Distributed Minimum Error Entropy Algorithms JMLR 2020
SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification ICCV 2019
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network JMLR 2017
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence JMLR 2010
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking EMNLP 2009
Localized Sliced Inverse Regression NIPS 2008
Characterizing the Function Space for Bayesian Kernel Models JMLR 2007
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NIPS 2007
Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006
Support Vector Machine Soft Margin Classifiers: Error Analysis JMLR 2004