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Ivor Tsang

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

Achievements

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+12 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (13) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (11)
πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (139) ⚑ Prolific Year (13) πŸš€ Conference Pioneer πŸ’Ž Century Club (43) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter ❓ 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)

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