By Professor Lina Yao

Preprints

Wang S; Chen X; Yao L, 2025, Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation, http://dx.doi.org/10.48550/arxiv.2502.02327

Lou H; Paik H; Haghighi PD; Hu W; Yao L, 2024, LatentSpeech: Latent Diffusion for Text-To-Speech Generation, http://dx.doi.org/10.48550/arxiv.2412.08117

Du J; Ye Z; Guo B; Yu Z; Wu J; Yang J; Sheng M; Yao L, 2024, Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference, http://dx.doi.org/10.48550/arxiv.2411.17361

Hu J; Jia H; Hassan M; Yao L; Kusy B; Hu W, 2024, LightLLM: A Versatile Large Language Model for Predictive Light Sensing, http://dx.doi.org/10.48550/arxiv.2411.15211

Wu J; Li X; Wang R; Xia Y; Xiong Y; Wang J; Yu T; Chen X; Kveton B; Yao L; Shang J; McAuley J, 2024, OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models, http://dx.doi.org/10.48550/arxiv.2410.23703

Huang C; Wang S; Wang X; Yao L, 2024, Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation, http://dx.doi.org/10.48550/arxiv.2410.22790

Huang C; Wang S; Wang X; Yao L, 2024, Modeling Temporal Positive and Negative Excitation for Sequential Recommendation, http://dx.doi.org/10.48550/arxiv.2410.22013

Wu J; Zhang Z; Xia Y; Li X; Xia Z; Chang A; Yu T; Kim S; Rossi RA; Zhang R; Mitra S; Metaxas DN; Yao L; Shang J; McAuley J, 2024, Visual Prompting in Multimodal Large Language Models: A Survey, http://dx.doi.org/10.48550/arxiv.2409.15310

Lou H; Paik H; Hu W; Yao L, 2024, StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech, http://dx.doi.org/10.48550/arxiv.2408.14713

Wang H; Gao C; Wu Y; Jin D; Yao L; Li Y, 2024, PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning, http://dx.doi.org/10.48550/arxiv.2407.16729

Wang S; Chen X; Yao L, 2024, On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems, http://dx.doi.org/10.48550/arxiv.2407.13091

Chua J; Li Y; Yang S; Wang C; Yao L, 2024, AI Safety in Generative AI Large Language Models: A Survey, http://dx.doi.org/10.48550/arxiv.2407.18369

Chen X; Wang S; Yao L, 2024, Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation, http://dx.doi.org/10.48550/arxiv.2406.00725

Liu Y; Cui G; Luo J; Chang X; Yao L, 2024, Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition, http://dx.doi.org/10.48550/arxiv.2307.11973

Liu Y; Sheng QZ; Yao L, 2024, Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising, http://dx.doi.org/10.48550/arxiv.2405.07164

Liu Y; Wang R; Cao Y; Sheng QZ; Yao L, 2024, Multi-agent Traffic Prediction via Denoised Endpoint Distribution, http://dx.doi.org/10.48550/arxiv.2405.07041

Liu Y; Ye Z; Wang R; Li B; Sheng QZ; Yao L, 2024, Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion, http://dx.doi.org/10.48550/arxiv.2303.08367

Wang S; Chen X; Yao L, 2024, Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems, http://dx.doi.org/10.48550/arxiv.2403.17634

Huang H; Chang X; Hu W; Yao L, 2024, MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment, http://dx.doi.org/10.48550/arxiv.2402.13525

Lu H; Gong D; Wang S; Xue J; Yao L; Moore K, 2024, Learning with Mixture of Prototypes for Out-of-Distribution Detection, http://dx.doi.org/10.48550/arxiv.2402.02653

Zhang D; Pan S; Hoang T; Xing Z; Staples M; Xu X; Yao L; Lu Q; Zhu L, 2024, To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods, http://dx.doi.org/10.48550/arxiv.2302.03350

He E; Hao Y; Zhang Y; Yin G; Yao L, 2024, SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks, http://dx.doi.org/10.48550/arxiv.2401.01625

Wang S; Chen X; Yao L; Cripps S; McAuley J, 2023, Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation, http://dx.doi.org/10.48550/arxiv.2208.05142

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

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