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← Authors

Da Li

31 papers · 2017–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (8)
🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (56) 🀝 Dynamic Duo (14) πŸ† Grand Slam πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (27) πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (104)

Conferences

ICCV (5) AAAI (4) CVPR (4) ICLR (4) ICML (4) ECCV (2) EMNLP (2) ACL (1) AUTOML (1) NAACL (1) NIPS (1) SEMEVAL (1) WACV (1)

Top co-authors

Timothy Hospedales (14) Timothy M. Hospedales (7) Yi-Zhe Song (6) Yongxin Yang (4) Minyoung Kim (4) Tao Xiang (4) Tianyuan Yu (3) Ruchika Chavhan (3) Shell Xu Hu (3) Henry Gouk (3)

Keywords

transfer learning (4) representation learning (4) zero-shot learning (3) transformer architecture (2) image classification (2) domain generalization (2) model compression (2) misogyny identification (2) neural network (2) multi-task learning (2) stochastic neural network (2) few-shot learning (2) offline reinforcement learning (1) adversarial robustness (1) contrastive learning (1) model calibration (1) link prediction (1) hyperparameter optimization (1) pose estimation (1) domain adaptation (1)

Papers

HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models AAAI 2026 Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding ACL 2026 Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation AAAI 2026 One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow AAAI 2026 A Survey of Link Prediction in N-ary Knowledge Graphs EMNLP 2025 ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning ICLR 2025 Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective EMNLP 2025 Optimal Information Retention for Time-Series Explanations ICML 2025 Feed-Forward Latent Domain Adaptation WACV 2024 Neural Fine-Tuning Search for Few-Shot Learning ICLR 2024 Recurrent Early Exits for Federated Learning with Heterogeneous Clients ICML 2024 Quality Diversity for Visual Pre-Training ICCV 2023 Better Practices for Domain Adaptation AUTOML 2023 Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style CVPR 2023 Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn CVPR 2023 FedL2P: Federated Learning to Personalize NIPS 2023 Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach ICLR 2023 SketchKnitter: Vectorized Sketch Generation with Diffusion Models ICLR 2023 AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny Identification SEMEVAL 2022 AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny Identification NAACL 2022 Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference CVPR 2022 Fisher SAM: Information Geometry and Sharpness Aware Minimisation ICML 2022 Simple and Effective Stochastic Neural Networks AAAI 2021 Weight-covariance alignment for adversarially robust neural networks ICML 2021 A Simple Feature Augmentation for Domain Generalization ICCV 2021 Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation ECCV 2020 Robust Person Re-Identification by Modelling Feature Uncertainty ICCV 2019 Episodic Training for Domain Generalization ICCV 2019 Deep Factorised Inverse-Sketching ECCV 2018 Sketch-a-Classifier: Sketch-Based Photo Classifier Generation CVPR 2018 Deeper, Broader and Artier Domain Generalization ICCV 2017