← Authors

Lina Yao

50 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (101) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (11) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ‘₯ Mega-Team (30) πŸ—ƒοΈ Keyword Collector (240) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (49) πŸ”₯ Unstoppable (8)

Conferences

AAAI (12) IJCAI (10) CVPR (7) ICLR (5) NIPS (5) EMNLP (4) ICCV (2) ICML (2) ACL (1) COLING (1) NAACL (1)

Top co-authors

Tong Yu (8) Guodong Long (8) Xiaojun Chang (6) Junda Wu (6) Julian McAuley (5) Yu Xia (5) Sen Wang (5) SHUAI ZHANG (5) Xianzhi Wang (5) Zhihui Li (5)

Research topics

Privacy (1)

Keywords

domain adaptation (4) continual learning (4) multimodal learning (3) representation learning (3) diffusion model (2) uncertainty estimation (2) graph convolutional network (2) instruction tuning (2) distribution shift (2) activity recognition (2) knowledge distillation (2) link prediction (2) variational autoencoder (2) vision-language model (2) feature extraction (2) generative model (2) federated learning (2) weakly supervised learning (2) deep learning (2) compositional zero-shot learning (2)

Papers

ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech AAAI 2026
CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking AAAI 2025
GUI Agents: A Survey ACL 2025
Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models ICLR 2025
Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos ICLR 2025
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models ICLR 2025
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025
CoMMIT: Coordinated Multimodal Instruction Tuning EMNLP 2025
SAND: Boosting LLM Agents with Self-Taught Action Deliberation EMNLP 2025
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising CVPR 2025
Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration CVPR 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning CVPR 2025
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality ICML 2025
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models COLING 2025
Masked Distillation Advances Self-Supervised Transformer Architecture Search ICLR 2024
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models NIPS 2024
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning CVPR 2024
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model EMNLP 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection ICLR 2024
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning ICML 2024
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning NAACL 2024
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation ICCV 2023
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023
Mask Propagation for Efficient Video Semantic Segmentation NIPS 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning NIPS 2023
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning ICCV 2023
Contrastive Conditional Neural Processes CVPR 2022
Dual-AI: Dual-Path Actor Interaction Learning for Group Activity Recognition CVPR 2022
Task Aligned Generative Meta-learning for Zero-shot Learning AAAI 2021
Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations CVPR 2021
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting NIPS 2020
Shape-Oriented Convolution Neural Network for Point Cloud Analysis AAAI 2020
One-Shot Learning for Long-Tail Visual Relation Detection AAAI 2020
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction AAAI 2020
Adaptive Two-Dimensional Embedded Image Clustering AAAI 2020
Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space IJCAI 2020
Quaternion Collaborative Filtering for Recommendation IJCAI 2019
Zero-Shot Object Detection with Textual Descriptions AAAI 2019
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation IJCAI 2019
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing AAAI 2019
Multi-agent Attentional Activity Recognition IJCAI 2019
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting IJCAI 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns IJCAI 2019
Holographic Factorization Machines for Recommendation AAAI 2019
Quaternion Knowledge Graph Embeddings NIPS 2019
Adversarially Regularized Graph Autoencoder for Graph Embedding IJCAI 2018
Multi-modality Sensor Data Classification with Selective Attention IJCAI 2018
NeuRec: On Nonlinear Transformation for Personalized Ranking IJCAI 2018