Yu Dai

5 papers · 2022–2026 · 5 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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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

Venues

AAAI (1) ACML (1) CVPR (1) EMNLP (1) ICML (1)

Top co-authors

Heqian Qiu (2) Lili Pan (2) Hongliang Li (2) Lanxiao Wang (2) Jingyang Chen (1) Benliu Qiu (1) Taijin Zhao (1) Zezheng Gong (1) Jian Cheng (1) Ping Li (1)

Research topics

Machine Learning (5) Learning Types · Machine Learning (4) Deep Learning (3) Application Areas (3) Learning Types · Deep Learning (3) Artificial Intelligence (2) Computer Vision (2) Analysis (2) Core AI (2) Natural Language Processing (1) Resources & Methods (1)

Keywords

model compression (1) unsupervised learning (1) contrastive learning (1) continual learning (1) catastrophic forgetting (1) semantic segmentation (1) domain adaptation (1) bayesian inference (1) visual question answering (1) knowledge distillation (1) model distillation (1) class-incremental learning (1) unsupervised domain adaptation (1) consistency regularization (1) vision-language model (1) hallucination reduction (1) cross attention (1) online continual learning (1) multi-teacher distillation (1) weight permutation (1)

Papers

Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning AAAI 2026 Class Incremental Learning with Multi-Teacher Distillation CVPR 2024 High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion ICML 2024 VGA: Vision GUI Assistant - Minimizing Hallucinations through Image-Centric Fine-Tuning EMNLP 2024 Nighttime Semantic Segmentation with Unsupervised Learning and Cross Attention ACML 2022