By Professor Lina Yao

Preprints

Zhang Y; Wang Y; Wang K; Sheng QZ; Yao L; Mahmood A; Zhang WE; Zhao R, 2023, When Large Language Models Meet Citation: A Survey, http://dx.doi.org/10.48550/arxiv.2309.09727

Wang S; Chen X; Jannach D; Yao L, 2023, Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2304.07920

Chen X; Wang S; McAuley J; Jannach D; Yao L, 2023, On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems, http://dx.doi.org/10.48550/arxiv.2308.11336

Zhou G; Huang C; Chen X; Xu X; Wang C; Zhu L; Yao L, 2023, Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems, http://dx.doi.org/10.48550/arxiv.2208.06746

Wang S; Chen X; Sheng QZ; Zhang Y; Yao L, 2023, Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation, http://dx.doi.org/10.48550/arxiv.2304.07922

Cao Y; Yao L; Pan L; Sheng QZ; Chang X, 2023, Guided Image-to-Image Translation by Discriminator-Generator Communication, http://dx.doi.org/10.48550/arxiv.2303.03598

Li Y; Liu Z; Yao L; Monaghan JJM; McAlpine D, 2022, Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis, http://dx.doi.org/10.48550/arxiv.2205.03230

Li C; Bai L; Yao L; Waller ST; Liu W, 2022, A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications, http://dx.doi.org/10.48550/arxiv.2210.14524

Chen X; Wang S; Yao L; Qi L; Li Y, 2022, Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation, http://dx.doi.org/10.48550/arxiv.2209.08228

Zhang D; Chen K; Zhao Y; Yang B; Yao L; Jensen CS, 2022, Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey, http://dx.doi.org/10.48550/arxiv.2208.10498

Ye Z; Yao L; Zhang Y; Gustin S, 2022, See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity, http://dx.doi.org/10.48550/arxiv.2208.03666

Wang X; Yao L; Rekik I; Zhang Y, 2022, Contrastive Graph Learning for Population-based fMRI Classification, http://dx.doi.org/10.48550/arxiv.2203.14044

Soltani B; Haghighi V; Mahmood A; Sheng QZ; Yao L, 2022, A Survey on Participant Selection for Federated Learning in Mobile Networks, http://dx.doi.org/10.48550/arxiv.2207.03681

Li C; Bai L; Liu W; Yao L; Waller ST, 2022, Unsupervised Knowledge Adaptation for Passenger Demand Forecasting, http://dx.doi.org/10.48550/arxiv.2206.04053

Li Y; Liu Z; Yao L; Lucas M; Monaghan JJM; Zhang Y, 2022, Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus, http://dx.doi.org/10.48550/arxiv.2205.03231

Han M; Zhang DJ; Wang Y; Yan R; Yao L; Chang X; Qiao Y, 2022, Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition, http://dx.doi.org/10.48550/arxiv.2204.02148

Wang S; Chen X; Yao L, 2022, Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation, http://dx.doi.org/10.48550/arxiv.2204.00308

Li C; Bai L; Liu W; Yao L; Waller T, 2022, Unsupervised Knowledge Adaptation for Passenger Demand Forecasting, http://dx.doi.org/10.2139/ssrn.4053578

Wang S; Cao Y; Chen X; Yao L; Wang X; Sheng QZ, 2021, Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems, http://dx.doi.org/10.48550/arxiv.2112.00973

Liu Z; Li Y; Yao L; McAuley J; Dixon S, 2021, Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning, https://arxiv.org/abs/2112.00410v1

Chen X; Yao L; Wang X; McAuley J, 2021, Locality-Sensitive Experience Replay for Online Recommendation, http://dx.doi.org/10.48550/arxiv.2110.10850

Zhang X; Yao L; Kanhere SS; Liu Y; Gu T; Chen K, 2021, MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network, http://dx.doi.org/10.48550/arxiv.1711.06149

Lin X; Ren P; Yeh C-H; Yao L; Song A; Chang X, 2021, Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions, http://dx.doi.org/10.48550/arxiv.2109.06057

Chen X; Yao L; McAuley J; Zhou G; Wang X, 2021, A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions, http://dx.doi.org/10.48550/arxiv.2109.03540

Chen X; Yao L; Wang X; Sun A; Zhang W; Sheng QZ, 2021, Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference, http://dx.doi.org/10.48550/arxiv.2105.00822

Bouguettaya A; Sheng QZ; Benatallah B; Neiat AG; Mistry S; Ghose A; Nepal S; Yao L, 2021, An Internet of Things Service Roadmap, http://dx.doi.org/10.48550/arxiv.2103.03043

Chen X; Li Y; Yao L; Adeli E; Zhang Y, 2021, Generative Adversarial U-Net for Domain-free Medical Image Augmentation, http://dx.doi.org/10.48550/arxiv.2101.04793

Chen X; Yao L; Sun A; Wang X; Xu X; Zhu L, 2020, Generative Inverse Deep Reinforcement Learning for Online Recommendation, http://dx.doi.org/10.48550/arxiv.2011.02248

Bai L; Yao L; Li C; Wang X; Wang C, 2020, Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting, http://dx.doi.org/10.48550/arxiv.2007.02842

Zhang X; Yao L; Wang X; Monaghan J; Mcalpine D; Zhang Y, 2020, A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers, http://dx.doi.org/10.48550/arxiv.1905.04149

Li C; Bai L; Liu W; Yao L; Waller ST, 2020, Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network, http://dx.doi.org/10.48550/arxiv.2009.05777

Liu Z; Wang X; Yao L; An J; Bai L; Lim E-P, 2020, Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding, http://dx.doi.org/10.48550/arxiv.2007.06842

Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2020, Recommender Systems for the Internet of Things: A Survey, http://dx.doi.org/10.48550/arxiv.2007.06758

Liu Z; Yao L; Bai L; Wang X; Wang C, 2020, Spectrum-Guided Adversarial Disparity Learning, http://dx.doi.org/10.48550/arxiv.2007.06831

Zhang X; Yao L; Huang C; Kanhere SS; Zhang D; Zhang Y, 2020, Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding, http://dx.doi.org/10.48550/arxiv.1810.02223

Chen X; Yao L; Zhou T; Dong J; Zhang Y, 2020, Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images, http://dx.doi.org/10.48550/arxiv.2006.13276

Wang X; Yao L; Wang X; Nie F, 2020, NP-PROV: Neural Processes with Position-Relevant-Only Variances, http://dx.doi.org/10.48550/arxiv.2007.00767

Cao Y; Chen X; Yao L; Wang X; Zhang WE, 2020, Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems, http://dx.doi.org/10.48550/arxiv.2006.07934

Liu Z; Li Y; Yao L; Wang X; Nie F, 2020, Agglomerative Neural Networks for Multi-view Clustering, http://dx.doi.org/10.48550/arxiv.2005.05556

Tran DH; Sheng QZ; Zhang WE; Hamad SA; Zaib M; Tran NH; Yao L; Khoa NLD, 2020, Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems, http://dx.doi.org/10.48550/arxiv.2004.13245

Zhang C; Song Y; Yao L; Cai W, 2020, Shape-Oriented Convolution Neural Network for Point Cloud Analysis, http://dx.doi.org/10.48550/arxiv.2004.09411

Liu Z; Yao L; Wang X; Bai L; An J, 2020, Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction, http://dx.doi.org/10.48550/arxiv.2004.08581

Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation, http://dx.doi.org/10.48550/arxiv.2004.08068

Chen X; Yao L; Zhang Y, 2020, Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images, http://dx.doi.org/10.48550/arxiv.2004.05645

Zhang X; Chen X; Yao L; Ge C; Dong M, 2020, Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning, http://dx.doi.org/10.48550/arxiv.1907.13359

Zhang X; Chen X; Dong M; Liu H; Ge C; Yao L, 2020, Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, http://dx.doi.org/10.48550/arxiv.1907.13351

Xu W; Zhang X; Yao L; Xue W; Wei B, 2020, A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification, http://dx.doi.org/10.48550/arxiv.2002.09821

Gao C; He X; Gan D; Chen X; Feng F; Li Y; Chua T-S; Yao L; Song Y; Jin D, 2020, Learning to Recommend with Multiple Cascading Behaviors, http://dx.doi.org/10.48550/arxiv.1809.08161

Zhang X; Yao L; Dong M; Liu Z; Zhang Y; Li Y, 2020, Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection, http://dx.doi.org/10.48550/arxiv.1909.10868

Li Y; Long G; Shen T; Zhou T; Yao L; Huo H; Jiang J, 2019, Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction, http://dx.doi.org/10.48550/arxiv.1911.11899

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