Ivor Tsang
48 papers · 2013–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (90) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
ποΈ
Keyword Collector
(229)
β‘
Prolific Year Β· Prolific
π₯
Unstoppable Β· Silver
β
The Questioner
(3)
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Century Club Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(8)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(34)
Learning Types Β· Machine Learning
(20)
Core Methods
(16)
Deep Learning
(14)
Artificial Intelligence
(13)
Core AI
(11)
Optimization & Theory
(10)
Computer Vision
(8)
Mathematics & Optimization
(8)
Application Areas
(7)
Learning Types Β· Deep Learning
(7)
Optimization
(7)
Data Science & Analytics
(5)
Natural Language Processing
(5)
Analysis
(5)
Keywords
unsupervised learning
(4)
diffusion model
(4)
convergence rate
(4)
intent detection
(3)
imitation learning
(3)
noisy label
(3)
multi-view clustering
(3)
large language model
(3)
zeroth-order optimization
(2)
deep neural network
(2)
anchor learning
(2)
reinforcement learning
(2)
adversarial attack
(2)
multi-task learning
(2)
label noise
(2)
gradient descent
(2)
representation learning
(2)
joint learning
(2)
black-box optimization
(2)
multi-label classification
(2)
Papers
Correspondence Coverage Matters for Multi-Modal Dataset Distillation
AAAI 2026
From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language
ACL 2026
GenMatLab: A Generative Platform for Inverse Materials Design
AAAI 2026
MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents
AAAI 2026
SEA-Flow3D: Simplified, Efficient, and Accurate Scene Flow via Spatial Vector Sampling and Multi-scale Refinement
CVPR 2026
Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
ICML 2025
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
ICLR 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
Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey
IJCAI 2025
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization
IJCAI 2025
Max-Mahalanobis Anchors Guidance for Multi-View Clustering
AAAI 2025
ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs
ICLR 2025
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments
CVPR 2025
Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer
ICLR 2025
Sharpness-Aware Black-Box Optimization
ICLR 2025
Training-Free Dataset Pruning for Instance Segmentation
ICLR 2025
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
ICLR 2024
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
ECCV 2024
Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
ICML 2024
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding
EMNLP 2024
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
ICLR 2024
Diversified Batch Selection for Training Acceleration
ICML 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
Fast Unpaired Multi-view Clustering
IJCAI 2024
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
ICLR 2024
Multisize Dataset Condensation
ICLR 2024
On Harmonizing Implicit Subpopulations
ICLR 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
NeurIPS 2024
Causal Intervention for Abstractive Related Work Generation
EMNLP 2023
Leveraging Inpainting for Single-Image Shadow Removal
ICCV 2023
Nonparametric Iterative Machine Teaching
ICML 2023
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs
EMNLP 2022
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition
ACL 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
Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning
IJCAI 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
NeurIPS 2018
Masking: A New Perspective of Noisy Supervision
NeurIPS 2018
Sparse Embedded k-Means Clustering
NeurIPS 2017
On the Optimality of Classifier Chain for Multi-label Classification
NeurIPS 2015
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search
IJCAI 2015
Feature Weighting via Optimal Thresholding for Video Analysis
ICCV 2013