Qiang Wu

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

Achievements

+9 more ↓

🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🗺️ Taxonomy Completionist (16) 🌍 Conference Polyglot (10)

🗺️ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌱 Topic Pioneer 🏆 Keyword Champion 🗃️ Keyword Collector (146) 📈 Trend Setter 💎 Century Club (24) 🔥 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 Lü (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