Ivor Tsang

46 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🏃 Academic Marathon (12) 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer 👑 Triple Crown 🏆 Grand Slam 🗃️ Keyword Collector (139) ⚡ Prolific Year (13) 🚀 Conference Pioneer 💎 Century Club (43) 🔥 Unstoppable (9) 📈 Trend Setter ❓ The Questioner (3)

Conferences

ICLR (11) ICML (10) AAAI (5) IJCAI (5) NIPS (5) EMNLP (4) ICCV (2) ACL (1) ACML (1) CVPR (1) ECCV (1)

Top co-authors

Guang Dai (7) Yueming LYU (7) Xingrui Yu (6) Qing Guo (6) Haishan Ye (6) Masashi Sugiyama (5) Bowen Xing (5) Gang Niu (4) Jiangchao Yao (4) Bo Han (4)

Keywords

intent detection (3) multi-view clustering (3) unsupervised learning (3) noisy label (3) label noise (2) multi-label classification (2) large language model (2) diffusion model (2) anchor learning (2) slot filling (2) joint learning (2) deep neural network (2) representation learning (2) graph neural network (2) manifold learning (1) imitation learning (1) sequential decision-making (1) action recognition (1) dimensionality reduction (1) multi-task learning (1)

Papers

Correspondence Coverage Matters for Multi-Modal Dataset Distillation AAAI 2026

GenMatLab: A Generative Platform for Inverse Materials Design AAAI 2026

MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents AAAI 2026

Max-Mahalanobis Anchors Guidance for Multi-View Clustering AAAI 2025

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization IJCAI 2025

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity ICML 2025

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation ICLR 2025

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration ICLR 2025

SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments CVPR 2025

Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction ICML 2025

Training-Free Dataset Pruning for Instance Segmentation ICLR 2025

Sharpness-Aware Black-Box Optimization ICLR 2025

ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs ICLR 2025

Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer ICLR 2025

Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey IJCAI 2025

Fast Unpaired Multi-view Clustering IJCAI 2024

Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NIPS 2024

Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory ECCV 2024

DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding EMNLP 2024

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning ICLR 2024

On Harmonizing Implicit Subpopulations ICLR 2024

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks ICLR 2024

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold ICLR 2024

Multisize Dataset Condensation ICLR 2024

Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods ICML 2024

Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient ICML 2024

Diversified Batch Selection for Training Acceleration ICML 2024

Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? ICML 2024

Leveraging Inpainting for Single-Image Shadow Removal ICCV 2023

Nonparametric Iterative Machine Teaching ICML 2023

Causal Intervention for Abstractive Related Work Generation EMNLP 2023

DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition ACL 2022

Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs EMNLP 2022

Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning IJCAI 2022

Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling EMNLP 2022

Multi-View Clustering on Topological Manifold AAAI 2022

Asian Conference on Machine Learning: Preface ACML 2021

Intrinsic Reward Driven Imitation Learning via Generative Model ICML 2020

SIGUA: Forgetting May Make Learning with Noisy Labels More Robust ICML 2020

How does Disagreement Help Generalization against Label Corruption? ICML 2019

Co-teaching: Robust training of deep neural networks with extremely noisy labels NIPS 2018

Masking: A New Perspective of Noisy Supervision NIPS 2018

Sparse Embedded $k$-Means Clustering NIPS 2017

On the Optimality of Classifier Chain for Multi-label Classification NIPS 2015

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search IJCAI 2015

Feature Weighting via Optimal Thresholding for Video Analysis ICCV 2013