Lina Yao
52 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌈
Renaissance Researcher
(9)
🌍
Conference Polyglot
(11)
🏆
Grand Slam
🏆
Keyword Champion
(2)
👑
Triple Crown
🌱
Topic Pioneer
👥
Mega-Team
(30)
🗃️
Keyword Collector
(240)
⚡
Prolific Year
(5)
🚀
Conference Pioneer
💎
Century Club
(49)
🔥
Unstoppable
(8)
Conferences
AAAI (12)
IJCAI (10)
CVPR (7)
ICLR (5)
NIPS (5)
EMNLP (4)
ACL (3)
ICCV (2)
ICML (2)
COLING (1)
NAACL (1)
Top co-authors
Research topics
Keywords
continual learning
(4)
domain adaptation
(4)
large language model
(3)
representation learning
(3)
multimodal learning
(3)
uncertainty estimation
(2)
diffusion model
(2)
graph convolutional network
(2)
activity recognition
(2)
instruction tuning
(2)
distribution shift
(2)
link prediction
(2)
variational autoencoder
(2)
vision-language model
(2)
federated learning
(2)
knowledge distillation
(2)
feature extraction
(2)
weakly supervised learning
(2)
deep learning
(2)
generative model
(2)
Papers
CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
ACL 2026
ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech
AAAI 2026
SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
ACL 2026
GUI Agents: A Survey
ACL 2025
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
COLING 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
CVPR 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
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
ICML 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
Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
ICLR 2025
CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking
AAAI 2025
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
NIPS 2024
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
NAACL 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
Masked Distillation Advances Self-Supervised Transformer Architecture Search
ICLR 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
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
ICCV 2023
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
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
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
AAAI 2020
Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space
IJCAI 2020
One-Shot Learning for Long-Tail Visual Relation Detection
AAAI 2020
Adaptive Two-Dimensional Embedded Image Clustering
AAAI 2020
Shape-Oriented Convolution Neural Network for Point Cloud Analysis
AAAI 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
NIPS 2020
Quaternion Collaborative Filtering for Recommendation
IJCAI 2019
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
AAAI 2019
Holographic Factorization Machines for Recommendation
AAAI 2019
Zero-Shot Object Detection with Textual Descriptions
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
Quaternion Knowledge Graph Embeddings
NIPS 2019
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
IJCAI 2019
NeuRec: On Nonlinear Transformation for Personalized Ranking
IJCAI 2018
Multi-modality Sensor Data Classification with Selective Attention
IJCAI 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding
IJCAI 2018