← Authors

Ivor W. Tsang

38 papers · 2005–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (12) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (17) πŸƒ Academic Marathon (21) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (5) πŸ† Grand Slam πŸ† Keyword Champion 🌱 Topic Pioneer πŸ”¬ Deep Specialist (12) πŸ’Ž Century Club (38) πŸ—ƒοΈ Keyword Collector (193) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ”₯ Unstoppable (5)

Conferences

JMLR (12) NIPS (7) IJCAI (4) AAAI (3) CVPR (3) ACML (2) ICLR (2) ACL (1) AISTATS (1) ICCV (1) ICML (1) WACV (1)

Top co-authors

James T. Kwok (5) Joey Tianyi Zhou (4) Sinno Jialin Pan (4) Xiaofeng Cao (4) Ya Zhang (3) Mingkui Tan (3) Weiwei Liu (3) Yueming LYU (3) Yuangang Pan (3) Yew-Soon Ong (2)

Keywords

bayesian inference (3) representation learning (3) kernel methods (3) multiple kernel learning (3) multi-label classification (3) semi-supervised learning (2) support vector machine (2) distribution matching (2) transfer learning (2) generative adversarial network (2) multi-task learning (2) generalization error bound (2) core vector machine (2) metric learning (1) dimensionality reduction (1) semantic segmentation (1) zero-shot learning (1) active learning (1) multi-view clustering (1) compressed sensing (1)

Papers

Power of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues WACV 2026
Balanced Image Stylization with Style Matching Score ICCV 2025
Generative Adversarial Ranking Nets JMLR 2024
AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval CVPR 2024
Learning Discretized Neural Networks under Ricci Flow JMLR 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior NIPS 2024
Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization NIPS 2024
Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024
Multi-Task Learning via Time-Aware Neural ODE IJCAI 2023
Nonparametric Teaching for Multiple Learners NIPS 2023
Multi-view Subspace Clustering on Topological Manifold NIPS 2022
Fast and Robust Rank Aggregation against Model Misspecification JMLR 2022
XAI Beyond Classification: Interpretable Neural Clustering JMLR 2022
Curriculum Loss: Robust Learning and Generalization against Label Corruption ICLR 2020
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo NIPS 2020
Graph Cross Networks with Vertex Infomax Pooling NIPS 2020
Copy and Paste GAN: Face Hallucination From Shaded Thumbnails CVPR 2020
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation IJCAI 2019
Label Embedding with Partial Heterogeneous Contexts AAAI 2019
Multi-class Heterogeneous Domain Adaptation JMLR 2019
MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING ICLR 2019
Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019
Understanding VAEs in Fisher-Shannon Plane AAAI 2019
Deep Discrete Prototype Multilabel Learning IJCAI 2018
An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels JMLR 2017
Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions JMLR 2017
Transfer Hashing with Privileged Information IJCAI 2016
Event Detection using Multi-Level Relevance Labels and Multiple Features CVPR 2014
Riemannian Pursuit for Big Matrix Recovery ICML 2014
Towards Ultrahigh Dimensional Feature Selection for Big Data JMLR 2014
Robust Domain Adaptation for Relation Extraction via Clustering Consistency ACL 2014
Convex and Scalable Weakly Labeled SVMs JMLR 2013
Multi-view Positive and Unlabeled Learning ACML 2012
Two-Layer Multiple Kernel Learning AISTATS 2011
Learning to Locate Relative Outliers ACML 2011
A Family of Simple Non-Parametric Kernel Learning Algorithms JMLR 2011
Large-Scale Sparsified Manifold Regularization NIPS 2006
Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005