Lina Yao

ORCID

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 145

Top Venues

Publications

Xiu Susie Fang, Xianzhi Wang, Quan Z. Sheng, Lina Yao
Generalizing truth discovery by incorporating multi-truth features. Computing 106 (5) (2024)
Yun Li, Zhe Liu, Hang Chen, Lina Yao
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning. CoRR (2024)
Sam Dixon, Lina Yao, Robert Davidson
Modality aware contrastive learning for multimodal human activity recognition. Concurr. Comput. Pract. Exp. 36 (16) (2024)
Xinshu Li, Lina Yao
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation. AAAI (2024)
Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao
Uncertainty-aware Distributional Offline Reinforcement Learning. CoRR (2024)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
Dyformer: A dynamic transformer-based architecture for multivariate time series classification. Inf. Sci. 656 (2024)
Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. CoRR (2024)
Yao Liu, Zesheng Ye, Rui Wang, Binghao Li, Quan Z. Sheng, Lina Yao
Uncertainty-aware pedestrian trajectory prediction via distributional diffusion. Knowl. Based Syst. 296 (2024)
Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. WWW (2024)
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement. SIGIR (2024)
Siyu Wang, Xiaocong Chen, Lina Yao
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. CoRR (2024)
Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. ICASSP (2024)
Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley
Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR (2024)
Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin
Self-supervised cross-modal visual retrieval from brain activities. Pattern Recognit. 145 (2024)
Yao Liu, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, Lina Yao
Multi-agent Traffic Prediction via Denoised Endpoint Distribution. CoRR (2024)
Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. CoRR (2024)
Nuo Li, Bin Guo, Yan Liu, Yasan Ding, Lina Yao, Xiaopeng Fan, Zhiwen Yu
Hierarchical Constrained Variational Autoencoder for interaction-sparse recommendations. Inf. Process. Manag. 61 (2) (2024)
Siyu Wang, Xiaocong Chen, Lina Yao
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems. CoRR (2024)
Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu
To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods. AI Ethics 4 (1) (2024)
Yuzhe Zhang, Yipeng Zhang, Yidong Gan, Lina Yao, Chen Wang
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models. CoRR (2024)
Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Salman Khan, Xinbo Gao, Lina Yao
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning. CoRR (2024)
Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Yao Liu, Gangfeng Cui, Jiahui Luo, Xiaojun Chang, Lina Yao
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20 (5) (2024)
En Xu, Kai Zhao, Zhiwen Yu, Ying Zhang, Bin Guo, Lina Yao
Limits of predictability in top-N recommendation. Inf. Process. Manag. 61 (4) (2024)
Xiaocong Chen, Siyu Wang, Lina Yao
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. KDD (2024)
Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu
Multi-view GCN for loan default risk prediction. Neural Comput. Appl. 36 (20) (2024)
Chengkai Huang, Rui Wang, Kaige Xie, Tong Yu, Lina Yao
Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. CoRR (2024)
Jiwei Huang, Bowen Ma, Ming Wang, Xiaokang Zhou, Lina Yao, Shoujin Wang, Lianyong Qi, Ying Chen
Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC. IEEE Trans. Consumer Electron. 70 (1) (2024)
Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. CoRR (2024)
Saurav Jha, Dong Gong, Lina Yao
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. CoRR (2024)
Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR (2024)
Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
Learning with Mixture of Prototypes for Out-of-Distribution Detection. CoRR (2024)
Xiaocong Chen, Siyu Wang, Lina Yao
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. CoRR (2024)
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement. CoRR (2024)
Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng
Masked Distillation Advances Self-Supervised Transformer Architecture Search. ICLR (2024)
Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
Learning with Mixture of Prototypes for Out-of-Distribution Detection. ICLR (2024)
Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El-Saddik
Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang
Guided Image-to-Image Translation by Discriminator-Generator Communication. IEEE Trans. Multim. 26 (2024)
Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. 264 (2023)
Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. CoRR (2023)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. ADMA (1) (2023)
Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. AAAI (2023)
Yun Li, Zhe Liu, Xiaojun Chang, Julian J. McAuley, Lina Yao
Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. IEEE Trans. Multim. 25 (2023)
Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. CoRR (2023)
Yang Zhang, Yufei Wang, Kai Wang, Quan Z. Sheng, Lina Yao, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao
When Large Language Models Meet Citation: A Survey. CoRR (2023)
Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang
Mask Propagation for Efficient Video Semantic Segmentation. NeurIPS (2023)
Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao
NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. CIKM (2023)
Saurav Jha, Dong Gong, He Zhao, Lina Yao
NPCL: Neural Processes for Uncertainty-Aware Continual Learning. CoRR (2023)
Yang Xiao, Zhuolin Xing, Alex X. Liu, Lei Bai, Qingqi Pei, Lina Yao
Cure-GNN: A Robust Curvature-Enhanced Graph Neural Network Against Adversarial Attacks. IEEE Trans. Dependable Secur. Comput. 20 (5) (2023)
Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. CoRR (2023)
Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang
Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. 32 (2023)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process. Lett. 55 (2) (2023)
Xiaoxin Ye, Yun Li, Lina Yao
DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender. RecSys (2023)
Zesheng Ye, Jing Du, Lina Yao
Adversarially Contrastive Estimation of Conditional Neural Processes. CoRR (2023)
Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
Adversarial dual autoencoders for trust-aware recommendation. Neural Comput. Appl. 35 (18) (2023)
Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. WWW (2023)
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
Item trend learning for sequential recommendation system using gated graph neural network. Neural Comput. Appl. 35 (18) (2023)
Yun Li, Zhe Liu, Saurav Jha, Lina Yao
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. ICCV (2023)
Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. SIGIR (2023)
Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David McAlpine
Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. ICDM (2023)
May S. Altulyan, Lina Yao, Salil S. Kanhere, Chaoran Huang
A blockchain framework data integrity enhanced recommender system. Comput. Intell. 39 (1) (2023)
Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Yao Liu, Gangfeng Cui, Jiahui Luo, Lina Yao, Xiaojun Chang
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition. CoRR (2023)
Qiuyun Zhang, Bin Guo, Lina Yao, Han Wang, Ying Zhang, Zhiwen Yu
ALDA: An Adaptive Layout Design Assistant for Diverse Posters throughout the Design Process. ACM Multimedia (2023)
Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li, Lina Yao
Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation. World Wide Web (WWW) 26 (5) (2023)
Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. WSDM (2023)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng
Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. 16 (1) (2023)
Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. CIKM (2023)
Jingcheng Li, Lina Yao, Binghao Li, Claude Sammut
Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition. CoRR (2023)
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. ICDM (2023)
Yuanjiang Cao, Quan Z. Sheng, Julian J. McAuley, Lina Yao
Reinforcement Learning for Generative AI: A Survey. CoRR (2023)
Saurav Jha, Dong Gong, He Zhao, Lina Yao
NPCL: Neural Processes for Uncertainty-Aware Continual Learning. NeurIPS (2023)
Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods. CoRR (2023)
Can Wang, Chi-Hung Chi, Lina Yao, Alan Wee-Chung Liew, Hong Shen
Interdependence analysis on heterogeneous data via behavior interior dimensions. Knowl. Based Syst. 279 (2023)
Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang
Guided Image-to-Image Translation by Discriminator-Generator Communication. CoRR (2023)
Yao Liu, Binghao Li, Claude Sammut, Lina Yao
Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios. ICONIP (9) (2023)
En Xu, Zhiwen Yu, Zhuo Sun, Bin Guo, Lina Yao
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang
Attribute-Modulated Generative Meta Learning for Zero-Shot Learning. IEEE Trans. Multim. 25 (2023)
Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. CoRR (2023)
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. WSDM (2023)
Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang
Uncertainty Estimation With Neural Processes for Meta-Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang
Mask Propagation for Efficient Video Semantic Segmentation. CoRR (2023)
Zhihui Li, Pengfei Xu, Xiaojun Chang, Luyao Yang, Yuanyuan Zhang, Lina Yao, Xiaojiang Chen
When Object Detection Meets Knowledge Distillation: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. CoRR (2023)
Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, Yu Qiao
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. ICCV (2023)
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu, Kun Zhang
On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. CoRR (2023)
Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. CoRR (2023)
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Meta-learning for Estimating Multiple Treatment Effects with Imbalance. WISE (2023)
Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. SIGIR (2023)
Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. SIGIR (2023)
Yao Liu, Zesheng Ye, Binghao Li, Lina Yao
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion. CoRR (2023)
En Xu, Zhiwen Yu, Nuo Li, Helei Cui, Lina Yao, Bin Guo
Quantifying predictability of sequential recommendation via logical constraints. Frontiers Comput. Sci. 17 (5) (2023)
Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. CoRR (2022)
May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. AI (2022)
Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. SIGIR (2022)
Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. WISE (2022)
Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut
Multi-agent Transformer Networks for Multimodal Human Activity Recognition. CIKM (2022)
Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lina Yao