Yao, Lina

52 publications

CVPR 2025 Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang
AAAI 2025 CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking Qiuyun Zhang, Bin Guo, Lina Yao, Xiaotian Qiao, Ying Zhang, Zhiwen Yu
TMLR 2025 Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors Haodong Lu, Xinyu Zhang, Kristen Moore, Jason Xue, Lina Yao, Anton van den Hengel, Dong Gong
NeurIPS 2025 Counterfactual Implicit Feedback Modeling Chuan Zhou, Lina Yao, Haoxuan Li, Mingming Gong
ICML 2025 Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C.S. Lui, Dongruo Zhou
CVPR 2025 Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising Yongli Xiang, Ziming Hong, Lina Yao, Dadong Wang, Tongliang Liu
NeurIPS 2025 Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian McAuley, Lina Yao
ICLR 2025 Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji
ICLR 2025 OCEAN: Offline Chain-of-Thought Evaluation and Alignment in Large Language Models Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian McAuley
CVPR 2025 Self-Expansion of Pre-Trained Models with Mixture of Adapters for Continual Learning Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong
ICLR 2025 Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-Shot Videos Mingfei Han, Linjie Yang, Xiaojun Chang, Lina Yao, Heng Wang
NeurIPS 2024 CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models Saurav Jha, Dong Gong, Lina Yao
CVPR 2024 Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning Yun Li, Zhe Liu, Hang Chen, Lina Yao
AAAI 2024 Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation Xinshu Li, Lina Yao
ICLRW 2024 How Well Does GPT-4V(ision) Adapt to Distribution Shifts? a Preliminary Investigation Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman Khan, Lina Yao, Tongliang Liu, Kun Zhang
ICLR 2024 Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
ICLR 2024 Masked Distillation Advances Self-Supervised Transformer Architecture Search Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng
NeurIPSW 2024 Self-Expansion of Pre-Trained Models with Mixture of Adapters for Continual Learning Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong
ICML 2024 Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu
ICCV 2023 Distilled Reverse Attention Network for Open-World Compositional Zero-Shot Learning Yun Li, Zhe Liu, Saurav Jha, Lina Yao
ICCV 2023 HTML: Hybrid Temporal-Scale Multimodal Learning Framework for Referring Video Object Segmentation Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, Yu Qiao
NeurIPS 2023 Mask Propagation for Efficient Video Semantic Segmentation Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang
NeurIPS 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha, Dong Gong, He Zhao, Lina Yao
AAAI 2023 PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
CVPR 2022 Contrastive Conditional Neural Processes Zesheng Ye, Lina Yao
CVPR 2022 Dual-AI: Dual-Path Actor Interaction Learning for Group Activity Recognition Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao
AAAI 2021 Task Aligned Generative Meta-Learning for Zero-Shot Learning Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
CVPR 2021 Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations Zhihui Li, Lina Yao
NeurIPS 2020 Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
AAAI 2020 Adaptive Two-Dimensional Embedded Image Clustering Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li, Huaxiang Zhang
AAAI 2020 One-Shot Learning for Long-Tail Visual Relation Detection Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen
AAAI 2020 Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
AAAI 2020 Shape-Oriented Convolution Neural Network for Point Cloud Analysis Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai
IJCAI 2020 Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng
IJCAI 2019 DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns Feng Yuan, Lina Yao, Boualem Benatallah
IJCAI 2019 DeepRec: An Open-Source Toolkit for Deep Learning Based Recommendation Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun
AAAI 2019 Distributionally Robust Semi-Supervised Learning for People-Centric Sensing Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
AAAI 2019 Holographic Factorization Machines for Recommendation Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh
IJCAI 2019 Multi-Agent Attentional Activity Recognition Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu
IJCAI 2019 Prototype Propagation Networks (PPN) for Weakly-Supervised Few-Shot Learning on Category Graph Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
IJCAI 2019 Quaternion Collaborative Filtering for Recommendation Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
NeurIPS 2019 Quaternion Knowledge Graph Embeddings Shuai Zhang, Yi Tay, Lina Yao, Qi Liu
IJCAI 2019 STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-Step Passenger Demand Forecasting Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng
AAAI 2019 Zero-Shot Object Detection with Textual Descriptions Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil S. Kanhere, Huaxiang Zhang
IJCAI 2018 Adversarially Regularized Graph Autoencoder for Graph Embedding Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
AAAI 2018 Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-Based Intention Recognition for Brain Computer Interface Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah
IJCAI 2018 Multi-Modality Sensor Data Classification with Selective Attention Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
AAAI 2018 Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu
IJCAI 2018 NeuRec: On Nonlinear Transformation for Personalized Ranking Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
AAAI 2018 Trace Ratio Optimization with Feature Correlation Mining for Multiclass Discriminant Analysis Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long
ECML-PKDD 2016 Uncovering Locally Discriminative Structure for Feature Analysis Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao
ECML-PKDD 2015 Unsupervised Feature Analysis with Class Margin Optimization Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng