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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.

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (90) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
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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