Ivor Tsang
47 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (11)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
π§
Keyword Pioneer
π
Triple Crown
π
Grand Slam
ποΈ
Keyword Collector
(139)
β‘
Prolific Year
(13)
π
Conference Pioneer
π
Century Club
(43)
π₯
Unstoppable
(9)
π
Trend Setter
β
The Questioner
(3)
Conferences
ICLR (11)
ICML (10)
AAAI (5)
IJCAI (5)
NIPS (5)
EMNLP (4)
ACL (2)
ICCV (2)
ACML (1)
CVPR (1)
ECCV (1)
Top co-authors
Keywords
intent detection
(3)
multi-view clustering
(3)
noisy label
(3)
unsupervised learning
(3)
graph neural network
(2)
representation learning
(2)
multi-label classification
(2)
deep neural network
(2)
anchor learning
(2)
reinforcement learning
(2)
label noise
(2)
large language model
(2)
joint learning
(2)
diffusion model
(2)
slot filling
(2)
imitation learning
(1)
sequential decision-making
(1)
dimensionality reduction
(1)
action recognition
(1)
multi-task learning
(1)
Papers
MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents
AAAI 2026
GenMatLab: A Generative Platform for Inverse Materials Design
AAAI 2026
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
ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs
ICLR 2025
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
ICLR 2025
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization
IJCAI 2025
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments
CVPR 2025
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
ICML 2025
Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
ICML 2025
Training-Free Dataset Pruning for Instance Segmentation
ICLR 2025
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
ICLR 2025
Sharpness-Aware Black-Box Optimization
ICLR 2025
Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer
ICLR 2025
Max-Mahalanobis Anchors Guidance for Multi-View Clustering
AAAI 2025
Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey
IJCAI 2025
On Harmonizing Implicit Subpopulations
ICLR 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
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
Fast Unpaired Multi-view Clustering
IJCAI 2024
Leveraging Inpainting for Single-Image Shadow Removal
ICCV 2023
Causal Intervention for Abstractive Related Work Generation
EMNLP 2023
Nonparametric Iterative Machine Teaching
ICML 2023
Multi-View Clustering on Topological Manifold
AAAI 2022
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs
EMNLP 2022
Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling
EMNLP 2022
Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning
IJCAI 2022
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition
ACL 2022
Asian Conference on Machine Learning: Preface
ACML 2021
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
ICML 2020
Intrinsic Reward Driven Imitation Learning via Generative Model
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