A Propagation Model for Integrating Web of Things and Social Networks. - Lina Yao 001 (ICSOC Workshops, 2011)

Particle Filtering Based Availability Prediction for Web Services. - Lina Yao 001; Quan Z. Sheng (ICSOC, 2011)

Exploiting latent relevance for relational learning of ubiquitous things. - Lina Yao 001; Quan Z. Sheng (CIKM, 2012)

A tag-centric discriminative model for web objects classification. - Lina Yao 001; Quan Z. Sheng (CIKM, 2012)

PeerTrack: a platform for tracking and tracing objects in large-scale traceability networks. - Yanbo Wu; Quan Z. Sheng; Damith Chinthana Ranasinghe; Lina Yao 001 (EDBT, 2012)

Towards a User-Centric Social Approach to Web Services Composition, Execution, and Monitoring. - Zakaria Maamar; Noura Faci; Quan Z. Sheng; Lina Yao 001 (WISE, 2012)

Achieving High Availability of Web Services Based on A Particle Filtering Approach. - Lina Yao 001; Quan Z. Sheng; Zakaria Maamar (Int. J. Next Gener. Comput., 2012)

A synergy between context-aware policies and AOP to achieve highly adaptable Web services. - Hamdi Yahyaoui; Azzam Mourad; Mohammed Almulla; Lina Yao 001; Quan Z. Sheng (Serv. Oriented Comput. Appl., 2012)

The 3rd International Workshop on Internet of Ubiquitous and Pervasive Things IUPT'2013 Preface. - Lina Yao 001; Sujith Samuel Mathew; Michele Ruta (ANT/SEIT, 2013)

A Practical Simulation Method for Social Networks. - Rui Zeng; Quan Z. Sheng; Lina Yao 001; Tianwei Xu; Dong Xie 002 (AWC, 2013)

A Model for Discovering Correlations of Ubiquitous Things. - Lina Yao 001; Quan Z. Sheng; Byron J. Gao; Anne H. H. Ngu; Xue Li 001 (ICDM, 2013)

Recommending Web Services via Combining Collaborative Filtering with Content-Based Features. - Lina Yao 001; Quan Z. Sheng; Aviv Segev; Jian Yu 002 (ICWS, 2013)

Correlation discovery in web of things. - Lina Yao 001; Quan Z. Sheng (WWW (Companion Volume), 2013)

Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches. - Lina Yao 001; Wenjie Ruan; Quan Z. Sheng; Xue Li 001; Nickolas J. G. Falkner (CIKM, 2014)

Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Byron J. Gao (CIKM, 2014)

TagTrack: device-free localization and tracking using passive RFID tags. - Wenjie Ruan; Lina Yao 001; Quan Z. Sheng; Nickolas J. G. Falkner; Xue Li 001 (MobiQuitous, 2014)

ThingsNavi: finding most-related things via multi-dimensional modeling of human-thing interactions. - Lina Yao 001; Quan Z. Sheng; Nickolas J. G. Falkner; Anne H. H. Ngu (MobiQuitous, 2014)

ServiceXplorer: a similarity-based web service search engine. - Anne H. H. Ngu; Jiangang Ma; Quan Z. Sheng; Lina Yao 001; Scott Julian (SIGIR, 2014)

Exploring recommendations in internet of things. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Helen Ashman; Xue Li 001 (SIGIR, 2014)

Keyword Search over Web Documents Based on Earth Mover's Distance. - Jiangang Ma; Quan Z. Sheng; Lina Yao 001; Yong Xu 001; Ali Shemshadi (WISE (1), 2014)

Behavior modeling and automated verification of Web services. - Quan Z. Sheng; Zakaria Maamar; Lina Yao 001; Claudia Szabo; Scott Bourne (Inf. Sci., 2014)

Commitments to Regulate Social Web Services Operation. - Zakaria Maamar; Noura Faci; Khouloud Boukadi; Quan Z. Sheng; Lina Yao 001 (IEEE Trans. Serv. Comput., 2014)

Approximate Truth Discovery via Problem Scale Reduction. - Xianzhi Wang 001; Quan Z. Sheng; Xiu Susie Fang; Xue Li 001; Xiaofei Xu; Lina Yao 001 (CIKM, 2015)

An Integrated Bayesian Approach for Effective Multi-Truth Discovery. - Xianzhi Wang 001; Quan Z. Sheng; Xiu Susie Fang; Lina Yao 001; Xiaofei Xu; Xue Li 001 (CIKM, 2015)

Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data. - Lina Yao 001; Quan Z. Sheng; Xue Li 001; Sen Wang 001; Tao Gu 001; Wenjie Ruan; Wan Zou (ICDM, 2015)

Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength. - Lina Yao 001; Quan Z. Sheng; Wenjie Ruan; Xue Li 001; Sen Wang 001; Zhi Yang (ICPADS, 2015)

Service Recommendation for Mashup Composition with Implicit Correlation Regularization. - Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Wenjie Ruan; Wei Zhang 098 (ICWS, 2015)

TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags. - Wenjie Ruan; Lina Yao 001; Quan Z. Sheng; Nickolas J. G. Falkner; Xue Li 001; Tao Gu 001 (MobiQuitous, 2015)

Unsupervised Feature Analysis with Class Margin Optimization. - Sen Wang 001; Feiping Nie 001; Xiaojun Chang; Lina Yao 001; Xue Li 001; Quan Z. Sheng (ECML/PKDD (1), 2015)

Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization. - Lina Yao 001; Quan Z. Sheng; Yongrui Qin; Xianzhi Wang 001; Ali Shemshadi; Qi He (SIGIR, 2015)

ECS: A Framework for Diversified and Relevant Search in the Internet of Things. - Ali Shemshadi; Lina Yao 001; Yongrui Qin; Quan Z. Sheng; Yihong Zhang 001 (WISE (1), 2015)

RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array. - Lina Yao 001; Quan Z. Sheng; Wenjie Ruan; Tao Gu 001; Xue Li 001; Nick Falkner; Zhi Yang (EAI Endorsed Trans. Ambient Syst., 2015)

Up in the Air: When Homes Meet the Web of Things. - Lina Yao 001; Quan Z. Sheng; Boualem Benatallah; Schahram Dustdar; Ali Shemshadi; Xianzhi Wang 001; Anne H. H. Ngu (CoRR, 2015)

Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Byron J. Gao; Boualem Benatallah; Xue Li 001 (CoRR, 2015)

Web-Based Management of the Internet of Things. - Lina Yao 001; Quan Z. Sheng; Schahram Dustdar (IEEE Internet Comput., 2015)

A simulation method for social networks. - Rui Zeng; Quan Z. Sheng; Lina Yao 001 (Soc. Netw. Anal. Min., 2015)

Guest Editorial: Big Data Analytics and the Web. - Quan Z. Sheng; Athanasios V. Vasilakos; Qi Yu 001; Lina Yao 001 (IEEE Trans. Big Data, 2015)

Unified Collaborative and Content-Based Web Service Recommendation. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Jian Yu 002; Aviv Segev (IEEE Trans. Serv. Comput., 2015)

Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach. - Wenjie Ruan; Leon Chea; Quan Z. Sheng; Lina Yao 001 (ADMA, 2016)

Identification as a Service: Large-Scale Cloud Service Discovery over the World Wide Web. - Abdullah Alfazi; Quan Z. Sheng; Wei Emma Zhang; Lina Yao 001; Talal H. Noor (BigData Congress, 2016)

Truth Discovery via Exploiting Implications from Multi-Source Data. - Xianzhi Wang 001; Quan Z. Sheng; Lina Yao 001; Xue Li 001; Xiu Susie Fang; Xiaofei Xu; Boualem Benatallah (CIKM, 2016)

Empowering Truth Discovery with Multi-Truth Prediction. - Xianzhi Wang 001; Quan Z. Sheng; Lina Yao 001; Xue Li 001; Xiu Susie Fang; Xiaofei Xu; Boualem Benatallah (CIKM, 2016)

Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. - Wei Emma Zhang; Mingkui Tan; Quan Z. Sheng; Lina Yao 001; Qinfeng Shi (CIKM, 2016)

Approximate Semantic Matching over Linked Data Streams. - Yongrui Qin; Lina Yao 001; Quan Z. Sheng (DEXA (2), 2016)

Learning from less for better: semi-supervised activity recognition via shared structure discovery. - Lina Yao 001; Feiping Nie 001; Quan Z. Sheng; Tao Gu 001; Xue Li 001; Sen Wang 001 (UbiComp, 2016)

Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly. - Lina Yao 001; Boualem Benatallah; Xianzhi Wang 001; Nguyen Khoi Tran 001; Qinghua Lu 001 (ICSOC, 2016)

PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction. - Bobaker Mohamed A. Madi; Quan Z. Sheng; Lina Yao 001; Yongrui Qin; Xianzhi Wang 001 (ICWS, 2016)

PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness. - Wenjie Ruan; Quan Z. Sheng; Lina Yao 001; Nguyen Khoi Tran 001; Yu Chieh Yang (PerCom Workshops, 2016)

HOI-Loc: Towards unobstructive human localization with probabilistic multi-sensor fusion. - Wenjie Ruan; Quan Z. Sheng; Lina Yao 001; Lei Yang 025; Tao Gu 001 (PerCom Workshops, 2016)

Uncovering Locally Discriminative Structure for Feature Analysis. - Sen Wang 001; Feiping Nie 001; Xiaojun Chang; Xue Li 001; Quan Z. Sheng; Lina Yao 001 (ECML/PKDD (1), 2016)

SECF: improving SPARQL querying performance with proactive fetching and caching. - Wei Emma Zhang; Quan Z. Sheng; Yongrui Qin; Lina Yao 001; Ali Shemshadi; Kerry L. Taylor (SAC, 2016)

Learning-Based SPARQL Query Performance Prediction. - Wei Emma Zhang; Quan Z. Sheng; Kerry L. Taylor; Yongrui Qin; Lina Yao 001 (WISE (1), 2016)

Device-free indoor localization and tracking through Human-Object Interactions. - Wenjie Ruan; Quan Z. Sheng; Lina Yao 001; Tao Gu 001; Michele Ruta; Longfei Shangguan (WoWMoM, 2016)

Searching for the Internet of Things on the Web: Where It Is and What It Looks Like. - Ali Shemshadi; Quan Z. Sheng; Wei Emma Zhang; Aixin Sun; Yongrui Qin; Lina Yao 001 (CoRR, 2016)

Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding. - Sen Wang 001; Xiaojun Chang; Xue Li 001; Guodong Long; Lina Yao 001; Quan Z. Sheng (IEEE Trans. Knowl. Data Eng., 2016)

Things of Interest Recommendation by Leveraging Heterogeneous Relations in the Internet of Things. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Xue Li 001 (ACM Trans. Internet Techn., 2016)

CloudArmor: Supporting Reputation-Based Trust Management for Cloud Services. - Talal H. Noor; Quan Z. Sheng; Lina Yao 001; Schahram Dustdar; Anne H. H. Ngu (IEEE Trans. Parallel Distributed Syst., 2016)

Multi-label classification via learning a unified object-label graph with sparse representation. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Byron J. Gao; Xue Li 001; Sen Wang 001 (World Wide Web, 2016)

Preface. - Quan Z. Sheng; Yongrui Qin; Lina Yao 001; Boualem Benatallah (Managing the Web of Things, 2017)

Building Entity Graphs for the Web of Things Management. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Xue Li 001; Boualem Benatallah; Xianzhi Wang 001 (Managing the Web of Things, 2017)

Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah (ADMA, 2017)

Fault Detection and Localization in Distributed Systems Using Recurrent Convolutional Neural Networks. - Guangyang Qi; Lina Yao 001; Anton V. Uzunov (ADMA, 2017)

SourceVote: Fusing Multi-valued Data via Inter-source Agreements. - Xiu Susie Fang; Quan Z. Sheng; Xianzhi Wang 001; Mahmoud Barhamgi; Lina Yao 001; Anne H. H. Ngu (ER, 2017)

Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Quan Z. Sheng; Xianzhi Wang 001 (ICONIP (2), 2017)

Hybrid Collaborative Recommendation via Semi-AutoEncoder. - Shuai Zhang 007; Lina Yao 001; Xiwei Xu 001; Sen Wang 001; Liming Zhu 001 (ICONIP (1), 2017)

Fall Detection Using Smartwatch Sensor Data with Accessor Architecture. - Anne H. H. Ngu; Yeahuay Wu; Habil Zare; Andrew Polican; Brock Yarbrough; Lina Yao 001 (ICSH, 2017)

Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Quan Z. Sheng (ICWS, 2017)

Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring. - Usama Salama; Lina Yao 001; Xianzhi Wang 001; Hye-Young Paik; Amin Beheshti (ICWS, 2017)

Gait Optimization for Multiple Humanoid Robots Based on Parallel Multi-swarm Particle Swarm Algorithm. - Chunguang Li; Rongyi He; Lina Yao 001; Chongben Tao (MobiQuitous, 2017)

Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data: A Tensor SVD Approach. - Peipei Xu; Wenjie Ruan; Quan Z. Sheng; Tao Gu 001; Lina Yao 001 (MobiQuitous, 2017)

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. - Xiang Zhang 012; Lina Yao 001; Dalin Zhang 001; Xianzhi Wang 001; Quan Z. Sheng; Tao Gu 001 (MobiQuitous, 2017)

AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. - Shuai Zhang 007; Lina Yao 001; Xiwei Xu 001 (SIGIR, 2017)

A Kernel-Based Approach to Developing Adaptable and Reusable Sensor Retrieval Systems for the Web of Things. - Nguyen Khoi Tran 001; Quan Z. Sheng; Muhammad Ali Babar 001; Lina Yao 001 (WISE (1), 2017)

Dynamic Intention-Aware Recommendation System. - Shuai Zhang 007; Lina Yao 001 (CoRR, 2017)

DeepKey: An EEG and Gait Based Dual-Authentication System. - Xiang Zhang 012; Lina Yao 001; Kaixuan Chen 001; Xianzhi Wang 001; Quan Z. Sheng; Tao Gu 001 (CoRR, 2017)

Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Quan Z. Sheng; Xianzhi Wang 001 (CoRR, 2017)

Deep Learning based Recommender System: A Survey and New Perspectives. - Shuai Zhang 007; Lina Yao 001; Aixin Sun (CoRR, 2017)

EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks. - Dalin Zhang 001; Lina Yao 001; Xiang Zhang 012; Sen Wang 001; Weitong Chen 001; Robert Boots (CoRR, 2017)

Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Tao Gu 001; Zhiwen Yu 001; Xianzhi Wang 001; Dalin Zhang 001 (CoRR, 2017)

Searching the Web of Things: State of the Art, Challenges, and Solutions. - Nguyen Khoi Tran 001; Quan Z. Sheng; Muhammad Ali Babar 001; Lina Yao 001 (ACM Comput. Surv., 2017)

Searching for the internet of things: where it is and what it looks like. - Ali Shemshadi; Quan Z. Sheng; Yongrui Qin; Aixin Sun; Wei Emma Zhang; Lina Yao 001 (Pers. Ubiquitous Comput., 2017)

Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Xue Li 001; Boualem Benattalah (ACM Trans. Intell. Syst. Technol., 2017)

Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining. - Sen Wang 001; Xue Li 001; Xiaojun Chang; Lina Yao 001; Quan Z. Sheng; Guodong Long (ACM Trans. Knowl. Discov. Data, 2017)

Efficient computation of distance labeling for decremental updates in large dynamic graphs. - Yongrui Qin; Quan Z. Sheng; Nickolas J. G. Falkner; Lina Yao 001; Simon Parkinson (World Wide Web, 2017)

Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis. - Forough Rezaei Boroujeni; Sen Wang 001; Zhihui Li 001; Nicholas West; Bela Stantic; Lina Yao 001; Guodong Long (AAAI, 2018)

Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification. - Zhihui Li 001; Lina Yao 001; Feiping Nie 001; Dingwen Zhang; Min Xu (AAAI, 2018)

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. - Dalin Zhang 001; Lina Yao 001; Xiang Zhang 012; Sen Wang 001; Weitong Chen 001; Robert Boots; Boualem Benatallah (AAAI, 2018)

Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Sen Wang 001 (CIKM, 2018)

A Simulation Approach for Studying Behavior and Quality of Blockchain Networks. - Bozhi Wang; Shiping Chen 001; Lina Yao 001; Bin Liu; Xiwei Xu 001; Liming Zhu 001 (ICBC, 2018)

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. - Weitong Chen 001; Sen Wang 001; Guodong Long; Lina Yao 001; Quan Z. Sheng; Xue Li 001 (ICDM, 2018)

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Manqing Dong (ICSOC, 2018)

Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation. - Shuai Zhang 007; Lina Yao 001; Xiaodong Ning; Chaoran Huang 001; Xiwei Xu 001; Shiyan Ou (ICWS, 2018)

Industry 4.0, How to Integrate Legacy Devices: A Cloud IoT Approach. - Marcosiris A. O. Pessoa; Marcos A. Pisching; Lina Yao 001; Fabrício Junqueira; Paulo E. Miyagi; Boualem Benatallah (IECON, 2018)

Adversarially Regularized Graph Autoencoder for Graph Embedding. - Shirui Pan; Ruiqi Hu; Guodong Long; Jing Jiang 002; Lina Yao 001; Chengqi Zhang (IJCAI, 2018)

Multi-modality Sensor Data Classification with Selective Attention. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Sen Wang 001; Mingkui Tan; Guodong Long; Can Wang 004 (IJCAI, 2018)

NeuRec: On Nonlinear Transformation for Personalized Ranking. - Shuai Zhang 007; Lina Yao 001; Aixin Sun; Sen Wang 001; Guodong Long; Manqing Dong (IJCAI, 2018)

Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. - Kaixuan Chen 001; Lina Yao 001; Xianzhi Wang 001; Dalin Zhang 001; Tao Gu 001; Zhiwen Yu 001; Zheng Yang 002 (IJCNN, 2018)

Automatic Device Classification from Network Traffic Streams of Internet of Things. - Lei Bai 001; Lina Yao 001; Salil S. Kanhere; Xianzhi Wang 001; Zheng Yang 002 (LCN, 2018)

Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Flora D. Salim; Pari Delir Haghighi (MobiQuitous, 2018)

Mining POI Alias from Microblog Conversations. - Yihong Zhang 001; Lina Yao 001 (PAKDD (1), 2018)

Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition. - Dalin Zhang 001; Lina Yao 001; Sen Wang 001; Kaixuan Chen 001; Zheng Yang 002; Boualem Benatallah (PAKDD (1), 2018)

Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. - Xiang Zhang 012; Lina Yao 001; Quan Z. Sheng; Salil S. Kanhere; Tao Gu 001; Dalin Zhang 001 (PerCom, 2018)

EEG-based Motion Intention Recognition via Multi-task RNNs. - Weitong Chen 001; Sen Wang 001; Xiang Zhang 012; Lina Yao 001; Lin Yue; Buyue Qian; Xue Li 001 (SDM, 2018)

Passenger Demand Prediction with Cellular Footprints. - Jing Chu; Kun Qian 004; Xu Wang 018; Lina Yao 001; Fu Xiao 001; Jianbo Li; Xin Miao; Zheng Yang 002 (SECON, 2018)

DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Quan Z. Sheng; Hao Huang (WISE (1), 2018)

Data-Augmented Regression with Generative Convolutional Network. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Xiang Zhang 012 (WISE (2), 2018)

WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes. - Lina Yao 001; Quan Z. Sheng; Boualem Benatallah; Schahram Dustdar; Xianzhi Wang 001; Ali Shemshadi; Salil S. Kanhere (Computing, 2018)

Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks. - Xiang Zhang 012; Lina Yao 001; Xianzhi Wang 001; Wenjie Zhang 001; Zheng Yang 002; Yunhao Liu 001 (CoRR, 2018)

Adversarially Regularized Graph Autoencoder. - Shirui Pan; Ruiqi Hu; Guodong Long; Jing Jiang 002; Lina Yao 001; Chengqi Zhang (CoRR, 2018)

Position and Distance: Recommendation beyond Matrix Factorization. - Shuai Zhang 007; Lina Yao 001; Chaoran Huang 001; Xiwei Xu 001; Liming Zhu 001 (CoRR, 2018)

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007 (CoRR, 2018)

Next Item Recommendation with Self-Attention. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Aixin Sun (CoRR, 2018)

Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Salil S. Kanhere; Dalin Zhang 001 (CoRR, 2018)

Internet of Things Search Engine: Concepts, Classification, and Open Issues. - Nguyen Khoi Tran 001; Quan Z. Sheng; Muhammad Ali Babar 001; Lina Yao 001; Wei Emma Zhang; Schahram Dustdar (CoRR, 2018)

MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. - Xiang Zhang 012; Lina Yao 001; Salil S. Kanhere; Yunhao Liu 001; Tao Gu 001; Kaixuan Chen 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

An Internet of Things Based Multi-Level Privacy-Preserving Access Control for Smart Living. - Usama Salama; Lina Yao 001; Hye-young Paik (Informatics, 2018)

A sensor-based wrist pulse signal processing and lung cancer recognition. - Zhichao Zhang; Yuan Zhang 007; Lina Yao 001; Houbing Song; Anton Kos (J. Biomed. Informatics, 2018)

A Survey on Expert Recommendation in Community Question Answering. - Xianzhi Wang 001; Chaoran Huang 001; Lina Yao 001; Boualem Benatallah; Manqing Dong (J. Comput. Sci. Technol., 2018)

Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach. - Wenjie Ruan; Quan Z. Sheng; Lina Yao 001; Xue Li 001; Nickolas J. G. Falkner; Lei Yang 025 (J. Netw. Comput. Appl., 2018)

Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength. - Lina Yao 001; Quan Z. Sheng; Xue Li 001; Tao Gu 001; Mingkui Tan; Xianzhi Wang 001; Sen Wang 001; Wenjie Ruan (IEEE Trans. Mob. Comput., 2018)

Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information. - Lina Yao 001; Quan Z. Sheng; Xianzhi Wang 001; Wei Emma Zhang; Yongrui Qin (ACM Trans. Internet Techn., 2018)

A Learning-Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases. - Wei Emma Zhang; Quan Z. Sheng; Lina Yao 001; Kerry Taylor; Ali Shemshadi; Yongrui Qin (ACM Trans. Internet Techn., 2018)

Collaborative text categorization via exploiting sparse coefficients. - Lina Yao 001; Quan Z. Sheng; Xianzhi Wang 001; Shengrui Wang; Xue Li 001; Sen Wang 001 (World Wide Web, 2018)

Learning-based SPARQL query performance modeling and prediction. - Wei Emma Zhang; Quan Z. Sheng; Yongrui Qin; Kerry Taylor; Lina Yao 001 (World Wide Web, 2018)

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Xiaojun Chang; Guodong Long; Sen Wang 001 (AAAI, 2019)

Zero-Shot Object Detection with Textual Descriptions. - Zhihui Li 001; Lina Yao 001; Xiaoqin Zhang 002; Xianzhi Wang 001; Salil S. Kanhere; Huaxiang Zhang 001 (AAAI, 2019)

Holographic Factorization Machines for Recommendation. - Yi Tay; Shuai Zhang 007; Anh Tuan Luu; Siu Cheung Hui; Lina Yao 001; Tran Dang Quang Vinh (AAAI, 2019)

Reminder Care System: An Activity-Aware Cross-Device Recommendation System. - May S. Altulyan; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere; Yuanjiang Cao (ADMA, 2019)

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. - Xiaocong Chen; Chaoran Huang 001; Xiang Zhang 012; Xianzhi Wang 001; Wei Liu 101; Lina Yao 001 (ADMA, 2019)

Domain-Aware Unsupervised Cross-dataset Person Re-identification. - Zhihui Li 001; Wenhe Liu; Xiaojun Chang; Lina Yao 001; Mahesh Prakash; Huaxiang Zhang 001 (ADMA, 2019)

Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. - Lei Bai 001; Lina Yao 001; Salil S. Kanhere; Xianzhi Wang 001; Wei Liu 101; Zheng Yang 002 (CIKM, 2019)

Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs. - Meng Wang 009; Haomin Shen; Sen Wang 001; Lina Yao 001; Yinlin Jiang; Guilin Qi; Yang Chen 008 (ICDM, 2019)

Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. - Dalin Zhang 001; Kaixuan Chen 001; Debao Jian; Lina Yao 001; Sen Wang 001; Po Li (ICDM, 2019)

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. - Xiang Zhang 012; Lina Yao 001; Xianzhi Wang 001; Wenjie Zhang 001; Shuai Zhang 007; Yunhao Liu 001 (ICDM, 2019)

Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Guodong Long; Sen Wang 001 (ICDM, 2019)

Passenger Demographic Attributes Prediction for Human-Centered Public Transport. - Can Li; Lei Bai 001; Wei Liu 101; Lina Yao 001; S. Travis Waller (ICONIP (4), 2019)

Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. - Xiang Zhang 012; Xiaocong Chen; Lina Yao 001; Chang Ge 004; Manqing Dong (ICONIP (4), 2019)

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Bin Wu 019; Aixin Sun (IJCAI, 2019)

Quaternion Collaborative Filtering for Recommendation. - Shuai Zhang 007; Lina Yao 001; Lucas Vinh Tran; Aston Zhang; Yi Tay (IJCAI, 2019)

STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. - Lei Bai 001; Lina Yao 001; Salil S. Kanhere; Xianzhi Wang 001; Quan Z. Sheng (IJCAI, 2019)

Multi-agent Attentional Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Bin Guo 001; Zhiwen Yu 001 (IJCAI, 2019)

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Lina Yao 001; Chengqi Zhang (IJCAI, 2019)

DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. - Feng Yuan; Lina Yao 001; Boualem Benatallah (IJCAI, 2019)

Dual-stream Self-Attentive Random Forest for False Information Detection. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Xiang Zhang 012; Quan Z. Sheng (IJCNN, 2019)

Adversarial Collaborative Auto-encoder for Top-N Recommendation. - Feng Yuan; Lina Yao 001; Boualem Benatallah (IJCNN, 2019)

Adversarial Variational Embedding for Robust Semi-supervised Learning. - Xiang Zhang 012; Lina Yao 001; Feng Yuan (KDD, 2019)

Quaternion Knowledge Graph Embeddings. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Qi Liu 049 (NeurIPS, 2019)

Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks. - Lei Bai 001; Lina Yao 001; Salil S. Kanhere; Zheng Yang 002; Jing Chu; Xianzhi Wang 001 (PAKDD (2), 2019)

Similarity-Aware Deep Attentive Model for Clickbait Detection. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Chaoran Huang 001 (PAKDD (2), 2019)

Mobile golf swing tracking using deep learning with data fusion: poster abstract. - Hong Jia; Yuezhong Wu; Jun Liu 074; Lina Yao 001; Wen Hu 001 (SenSys, 2019)

Adversarial Collaborative Neural Network for Robust Recommendation. - Feng Yuan; Lina Yao 001; Boualem Benatallah (SIGIR, 2019)

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. - Xiang Zhang 012; Xiaocong Chen; Manqing Dong; Huan Liu 012; Chang Ge 004; Lina Yao 001 (Aust. J. Intell. Inf. Process. Syst., 2019)

Internet of things search engine. - Nguyen Khoi Tran 001; Quan Z. Sheng; Muhammad Ali Babar 001; Lina Yao 001; Wei Emma Zhang; Schahram Dustdar (Commun. ACM, 2019)

Special issue on recommender system. - Bin Guo 001; Xing Xie 001; Lina Yao 001; Yong Li 008; Cecilia Mascolo; Xia Hu 001 (CCF Trans. Pervasive Comput. Interact., 2019)

Quaternion Knowledge Graph Embedding. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Qi Liu 049 (CoRR, 2019)

A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. - Xiang Zhang 012; Lina Yao 001; Xianzhi Wang 001; Jessica Monaghan; David McAlpine (CoRR, 2019)

The Future of Misinformation Detection: New Perspectives and Trends. - Bin Guo 001; Yasan Ding; Lina Yao 001; Yunji Liang; Zhiwen Yu 001 (CoRR, 2019)

Deep Learning Based Recommender System: A Survey and New Perspectives. - Shuai Zhang 007; Lina Yao 001; Aixin Sun; Yi Tay (ACM Comput. Surv., 2019)

Recommendations on the Internet of Things: Requirements, Challenges, and Directions. - Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Schahram Dustdar; Shuai Zhang 007 (IEEE Internet Comput., 2019)

DeepStore: An Interaction-Aware Wide&Deep Model for Store Site Recommendation With Attentional Spatial Embeddings. - Yan Liu 045; Bin Guo 001; Nuo Li; Jing Zhang 049; Jingmin Chen; Daqing Zhang 001; Yinxiao Liu; Zhiwen Yu 001; Sizhe Zhang; Lina Yao 001 (IEEE Internet Things J., 2019)

Inferring User Profile Attributes From Multidimensional Mobile Phone Sensory Data. - Zhiwen Yu 001; En Xu; He Du; Bin Guo 001; Lina Yao 001 (IEEE Internet Things J., 2019)

Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. - Xiang Zhang 012; Lina Yao 001; Shuai Zhang 007; Salil S. Kanhere; Michael Sheng 001; Yunhao Liu 001 (IEEE Internet Things J., 2019)

A reliable reputation computation framework for online items in E-commerce. - Lichuan Ma; Qingqi Pei; Yong Xiang 001; Lina Yao 001; Shui Yu 001 (J. Netw. Comput. Appl., 2019)

Zero-shot event detection via event-adaptive concept relevance mining. - Zhihui Li 001; Lina Yao 001; Xiaojun Chang; Kun Zhan; Jiande Sun 001; Huaxiang Zhang 001 (Pattern Recognit., 2019)

A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Jessica Monaghan (IEEE Signal Process. Lett., 2019)

Source-Aware Crisis-Relevant Tweet Identification and Key Information Summarization. - Xiaodong Ning; Lina Yao 001; Boualem Benatallah; Yihong Zhang 001; Quan Z. Sheng; Salil S. Kanhere (ACM Trans. Internet Techn., 2019)

Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection. - Xianzhi Wang 001; Xiaofei Xu; Quan Z. Sheng; Zhongjie Wang 003; Lina Yao 001 (IEEE Trans. Serv. Comput., 2019)

Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. - Yang Li 154; Guodong Long; Tao Shen 001; Tianyi Zhou 001; Lina Yao 001; Huan Huo; Jing Jiang 002 (AAAI, 2020)

Adaptive Two-Dimensional Embedded Image Clustering. - Zhihui Li 001; Lina Yao 001; Sen Wang 001; Salil S. Kanhere; Xue Li 001; Huaxiang Zhang 001 (AAAI, 2020)

One-Shot Learning for Long-Tail Visual Relation Detection. - Weitao Wang; Meng Wang 009; Sen Wang 001; Guodong Long; Lina Yao 001; Guilin Qi; Yang Chen 008 (AAAI, 2020)

Shape-Oriented Convolution Neural Network for Point Cloud Analysis. - Chaoyi Zhang; Yang Song 001; Lina Yao 001; Weidong Cai 001 (AAAI, 2020)

Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. - Can Li; Lei Bai 001; Wei Liu 101; Lina Yao 001; S. Travis Waller (CIKM, 2020)

Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. - Yun Li; Zhe Liu 023; Lina Yao 001; Zihuai He (CIKM, 2020)

Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering. - Feng Yuan; Lina Yao 001; Boualem Benatallah (CIKM, 2020)

Active Object Estimation for Human-Robot Collaborative Tasks. - Chaoran Huang 001; Lina Yao 001 (ICONIP (2), 2020)

Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space. - Licheng Zhang; Xianzhi Wang 001; Lina Yao 001; Lin Wu; Feng Zheng (IJCAI, 2020)

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. - Xiaocong Chen; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Wei Liu 101; Wenjie Zhang 001 (IJCNN, 2020)

Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. - Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Lei Bai 001; Jake An (IJCNN, 2020)

TRec: Sequential Recommender Based On Latent Item Trend Information. - Ye Tao 004; Can Wang 004; Lina Yao 001; Weimin Li 001; Yonghong Yu (IJCNN, 2020)

Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. - Licheng Zhang; Xianzhi Wang 001; Lina Yao 001; Feng Zheng (IJCNN, 2020)

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. - Manqing Dong; Feng Yuan; Lina Yao 001; Xiwei Xu 001; Liming Zhu 001 (KDD, 2020)

Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. - Zhihui Li 001; Xiaojun Chang; Lina Yao 001; Shirui Pan; Zongyuan Ge; Huaxiang Zhang 001 (KDD, 2020)

Spectrum-Guided Adversarial Disparity Learning. - Zhe Liu 023; Lina Yao 001; Lei Bai 001; Xianzhi Wang 001; Can Wang 004 (KDD, 2020)

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. - Lei Bai 001; Lina Yao 001; Can Li; Xianzhi Wang 001; Can Wang 004 (NeurIPS, 2020)

Prototype Similarity Learning for Activity Recognition. - Lei Bai 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere; Yang Xiao 014 (PAKDD (1), 2020)

Mobility Irregularity Detection with Smart Transit Card Data. - Xuesong Wang 002; Lina Yao 001; Wei Liu 101; Can Li; Lei Bai 001; S. Travis Waller (PAKDD (1), 2020)

Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. - Yuanjiang Cao; Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Wei Emma Zhang (SIGIR, 2020)

A multi-view CNN-based acoustic classification system for automatic animal species identification. - Weitao Xu; Xiang Zhang 012; Lina Yao 001; Wanli Xue; Bo Wei 003 (Ad Hoc Networks, 2020)

Correction to: Special issue on recommender system. - Bin Guo 001; Xing Xie 001; Lina Yao 001; Yong Li 008; Xia Hu 001 (CCF Trans. Pervasive Comput. Interact., 2020)

Reliability analysis for blockchain oracles. - Sin Kuang Lo; Xiwei Xu 001; Mark Staples; Lina Yao 001 (Comput. Electr. Eng., 2020)

Trust in Recommender Systems: A Deep Learning Perspective. - Manqing Dong; Feng Yuan; Lina Yao 001; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (CoRR, 2020)

Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images. - Xiaocong Chen; Lina Yao 001; Yu Zhang (CoRR, 2020)

Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems. - Dai Hoang Tran; Quan Z. Sheng; Wei Emma Zhang; Salma Abdalla Hamad; Munazza Zaib; Nguyen Hoang Tran; Lina Yao 001; Nguyen Lu Dang Khoa (CoRR, 2020)

Agglomerative Neural Networks for Multi-view Clustering. - Zhe Liu 023; Yun Li; Lina Yao 001; Xianzhi Wang 001; Feiping Nie 001 (CoRR, 2020)

NP-PROV: Neural Processes with Position-Relevant-Only Variances. - Xuesong Wang 002; Lina Yao 001; Xianzhi Wang 001; Feiping Nie 001 (CoRR, 2020)

Recommender Systems for the Internet of Things: A Survey. - May S. Altulyan; Lina Yao 001; Xianzhi Wang 001; Chaoran Huang 001; Salil S. Kanhere; Quan Z. Sheng (CoRR, 2020)

Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. - Zhe Liu 023; Xianzhi Wang 001; Lina Yao 001; Jake An; Lei Bai 001; Ee-Peng Lim (CoRR, 2020)

RecRisk: An enhanced recommendation model with multi-facet risk control. - Yang Xiao 014; Qingqi Pei; Lina Yao 001; Xianzhi Wang 001 (Expert Syst. Appl., 2020)

MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. - Yang Xiao 014; Lina Yao 001; Qingqi Pei; Xianzhi Wang 001; Jian Yang 001; Quan Z. Sheng (IEEE Intell. Syst., 2020)

Adversarial Multi-view Networks for Activity Recognition. - Lei Bai 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere; Bin Guo 001; Zhiwen Yu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Dual-stream generative adversarial networks for distributionally robust zero-shot learning. - Huan Liu 012; Lina Yao 001; Qinghua Zheng; Minnan Luo; Hongke Zhao; Yanzhang Lyu (Inf. Sci., 2020)

An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness. - Yang Xiao 014; Qingqi Pei; Lina Yao 001; Shui Yu 001; Lei Bai 001; Xianzhi Wang 001 (J. Netw. Comput. Appl., 2020)

Memory transformation networks for weakly supervised visual classification. - Huan Liu 012; Qinghua Zheng; Minnan Luo; Xiaojun Chang; Caixia Yan; Lina Yao 001 (Knowl. Based Syst., 2020)

A unified framework for data integrity protection in people-centric smart cities. - May S. Altulyan; Lina Yao 001; Salil S. Kanhere; Xianzhi Wang 001; Chaoran Huang 001 (Multim. Tools Appl., 2020)

Opinion fraud detection via neural autoencoder decision forest. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Chaoran Huang 001; Xiaodong Ning (Pattern Recognit. Lett., 2020)

Software expert discovery via knowledge domain embeddings in a collaborative network. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Xiang Zhang 012 (Pattern Recognit. Lett., 2020)

Rating prediction via generative convolutional neural networks based regression. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Manqing Dong; Shuai Zhang 007 (Pattern Recognit. Lett., 2020)

Electronic Skin Wearable Sensors for Detecting Lumbar-Pelvic Movements. - Yuxin Zhang 001; Pari Delir Haghighi; Frada Burstein; Lim Wei Yap; Wenlong Cheng; Lina Yao 001; Flavia M. Cicuttini (Sensors, 2020)

Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Sen Wang 001; Xiaojun Chang; Yunhao Liu 001 (IEEE Trans. Cybern., 2020)

Unraveling Metric Vector Spaces With Factorization for Recommendation. - Shuai Zhang 007; Lina Yao 001; Bin Wu 019; Xiwei Xu 001; Xiang Zhang 012; Liming Zhu 001 (IEEE Trans. Ind. Informatics, 2020)

DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Tao Gu 001; Zheng Yang 002; Yunhao Liu 001 (ACM Trans. Intell. Syst. Technol., 2020)

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. - Xiang Zhang 012; Lina Yao 001; Manqing Dong; Zhe Liu 023; Yu Zhang 083; Yong Li 008 (IEEE J. Biomed. Health Informatics, 2020)

Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals. - Dalin Zhang 001; Kaixuan Chen 001; Debao Jian; Lina Yao 001 (IEEE J. Biomed. Health Informatics, 2020)

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Xianzhi Wang 001; Xiaojun Chang; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. - Weitong Chen 001; Guodong Long; Lina Yao 001; Quan Z. Sheng (World Wide Web, 2020)

Deep Learning for EEG-Based Brain-Computer Interfaces - Representations, Algorithms and Applications - Xiang Zhang 012; Lina Yao 001 (Deep Learning for EEG-Based Brain-Computer Interfaces, 2021)

Task Aligned Generative Meta-learning for Zero-shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xianzhi Wang 001; Guodong Long (AAAI, 2021)

Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. - May S. Altulyan; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere (ADC, 2021)

Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. - Usama Salama; Xiaocong Chen; Lina Yao 001; Hye-Young Paik; Xianzhi Wang 001 (ADC, 2021)

Intention Recognition from Spatio-Temporal Representation of EEG Signals. - Lin Yue; Dongyuan Tian; Jing Jiang 002; Lina Yao 001; Weitong Chen 001; Xiaowei Zhao 004 (ADC, 2021)

HFM++: An Enhanced Holographic Factorization Machine for Recommendation. - Zhengxin Fang; Mingcheng Qu; Shuai Zhang 007; Jingyu Zhang; Yi Yuan; Lina Yao 001; Shiping Chen 001 (AusDM, 2021)

Cognitive Augmentation in Processes. - Moshe Chai Barukh; Shayan Zamanirad; Marcos Báez; Amin Beheshti; Boualem Benatallah; Fabio Casati; Lina Yao 001; Quan Z. Sheng; Francesco Schiliro (Next-Gen Digital Services, 2021)

Generative Inverse Deep Reinforcement Learning for Online Recommendation. - Xiaocong Chen; Lina Yao 001; Aixin Sun; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (CIKM, 2021)

Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations. - Zhihui Li 001; Lina Yao 001 (CVPR, 2021)

Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Networks. - Hong Jia; Jun Liu 074; Yuezhong Wu; Tomasz Bednarz; Lina Yao 001; Wen Hu 001 (EWSN, 2021)

Global Convolutional Neural Processes. - Xuesong Wang 002; Lina Yao 001; Xianzhi Wang 001; Hye-Young Paik; Sen Wang 001 (ICDM, 2021)

MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (ICDM, 2021)

RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net. - Xiaocong Chen; Lina Yao 001; Yu Zhang (WISE (2), 2021)

NP-PROV: Neural Processes with Position-Relevant-Only Variances. - Xuesong Wang 002; Lina Yao 001; Xianzhi Wang 001; Feiping Nie 001; Boualem Benatallah (WISE (1), 2021)

On-Device Lumbar-Pelvic Movement Detection Using Dual-IMU: A DNN-Based Approach. - Yuxin Zhang 001; Pari Delir Haghighi; Frada Burstein; Lina Yao 001; Flavia M. Cicuttini (IEEE Access, 2021)

An internet of things service roadmap. - Athman Bouguettaya; Quan Z. Sheng; Boualem Benatallah; Azadeh Ghari Neiat; Sajib Mistry; Aditya Ghose; Surya Nepal; Lina Yao 001 (Commun. ACM, 2021)

Generative Adversarial U-Net for Domain-free Medical Image Augmentation. - Xiaocong Chen; Yun Li; Lina Yao 001; Ehsan Adeli 001; Yu Zhang 009 (CoRR, 2021)

RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree. - Qingyang Li 002; Zhiwen Yu 001; Lina Yao 001; Bin Guo 001 (CoRR, 2021)

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. - Yun Li; Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Can Wang 004 (CoRR, 2021)

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. - Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Aixin Sun; Wenjie Zhang 001; Quan Z. Sheng (CoRR, 2021)

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Guanglin Zhou; Xianzhi Wang 001 (CoRR, 2021)

Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions. - Xiangtan Lin; Pengzhen Ren; Chung-Hsing Yeh; Lina Yao 001; Andy Song; Xiaojun Chang (CoRR, 2021)

Locality-Sensitive Experience Replay for Online Recommendation. - Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Julian J. McAuley (CoRR, 2021)

The Future of False Information Detection on Social Media: New Perspectives and Trends. - Bin Guo 001; Yasan Ding; Lina Yao 001; Yunji Liang; Zhiwen Yu 001 (ACM Comput. Surv., 2021)

Deep spatial-temporal sequence modeling for multi-step passenger demand prediction. - Lei Bai 001; Lina Yao 001; Xianzhi Wang 001; Can Li; Xiang Zhang 012 (Future Gener. Comput. Syst., 2021)

Efficient search over incomplete knowledge graphs in binarized embedding space. - Meng Wang 009; Weitong Chen 001; Sen Wang 001; Yinlin Jiang; Lina Yao 001; Guilin Qi (Future Gener. Comput. Syst., 2021)

Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment. - May S. Altulyan; Lina Yao 001; Chaoran Huang 001; Xianzhi Wang 001; Salil S. Kanhere (Future Internet, 2021)

VID: Human identification through vein patterns captured from commodity depth cameras. - Syed W. Shah; Salil S. Kanhere; Jin Zhang 013; Lina Yao 001 (IET Biom., 2021)

MutualRec: Joint friend and item recommendations with mutualistic attentional graph neural networks. - Yang Xiao 014; Qingqi Pei; Tingting Xiao; Lina Yao 001; Huan Liu 012 (J. Netw. Comput. Appl., 2021)

Unsupervised Cross-View Feature Selection on incomplete data. - Yuanyuan Xu 002; Yu Yin; Jun Wang 023; Jinmao Wei 001; Jian Liu; Lina Yao 001; Wenjie Zhang 001 (Knowl. Based Syst., 2021)

Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. - Xiaocong Chen; Lina Yao 001; Tao Zhou 002; Jinming Dong; Yu Zhang 009 (Pattern Recognit., 2021)

DeepDepict: Enabling Information Rich, Personalized Product Description Generation With the Deep Multiple Pointer Generator Network. - Shaoyang Hao; Bin Guo 001; Hao Wang 182; Yunji Liang; Lina Yao 001; Qianru Wang; Zhiwen Yu 001 (ACM Trans. Knowl. Discov. Data, 2021)

Learning to Recommend With Multiple Cascading Behaviors. - Chen Gao 001; Xiangnan He 001; Dahua Gan; Xiangning Chen; Fuli Feng; Yong Li 008; Tat-Seng Chua; Lina Yao 001; Yang Song 001; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2021)

Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. - Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Boualem Benatallah; Chaoran Huang 001 (IEEE Trans. Serv. Comput., 2021)

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. - Hadeel Alhosaini; Xianzhi Wang 001; Lina Yao 001; Yakun Chen; Guandong Xu (SCC, 2022)

Harnessing Confidence for Report Aggregation in Crowdsourcing Environments. - Hadeel Alhosaini; Xianzhi Wang 001; Lina Yao 001; Zhong Yang; Farookh Khadeer Hussain; Ee-Peng Lim (SCC, 2022)

Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. - May S. Altulyan; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere (AI, 2022)

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Jing Jiang 002; Guandong Xu (AI, 2022)

Multi-agent Transformer Networks for Multimodal Human Activity Recognition. - Jingcheng Li; Lina Yao 001; Binghao Li; Xianzhi Wang 001; Claude Sammut (CIKM, 2022)

Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. - Yao Liu 017; Lina Yao 001; Binghao Li; Xianzhi Wang 001; Claude Sammut (CIKM, 2022)

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. - Mingfei Han 002; David Junhao Zhang; Yali Wang 001; Rui Yan; Lina Yao 001; Xiaojun Chang; Yu Qiao 001 (CVPR, 2022)

Contrastive Conditional Neural Processes. - Zesheng Ye; Lina Yao 001 (CVPR, 2022)

Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. - Xiaocong Chen; Lina Yao 001; Xiaojun Chang; Siyu Wang 001 (ICDM, 2022)

Contrastive Individual Treatment Effects Estimation. - Xinshu Li; Lina Yao 001 (ICDM, 2022)

Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification. - Xuesong Wang 002; Lina Yao 001; Islem Rekik; Yu Zhang 009 (MICCAI (1), 2022)

A survey on participant selection for federated learning in mobile networks. - Behnaz Soltani; Venus Haghighi; Adnan Mahmood; Quan Z. Sheng; Lina Yao 001 (MobiArch, 2022)

Cycle-Balanced Representation Learning For Counterfactual Inference. - Guanglin Zhou; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001 (SDM, 2022)

Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Weili Guan; Xiaojun Chang; Xianzhi Wang 001 (SIGIR, 2022)

Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. - Jing Du 003; Zesheng Ye; Lina Yao 001; Bin Guo 001; Zhiwen Yu 001 (SIGIR, 2022)

Hierarchical Task-aware Multi-Head Attention Network. - Jing Du 003; Lina Yao 001; Xianzhi Wang 001; Bin Guo 001; Zhiwen Yu 001 (SIGIR, 2022)

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. - Zihao Li 005; Xianzhi Wang 001; Lina Yao 001; Yakun Chen; Guandong Xu; Ee-Peng Lim (WISE, 2022)

Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning. - Le Pan; Lina Yao 001; Wenjie Zhang 001; Xianzhi Wang 001 (WISE, 2022)

A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions. - May S. Altulyan; Lina Yao 001; Xianzhi Wang 001; Chaoran Huang 001; Salil S. Kanhere; Quan Z. Sheng (Comput. J., 2022)

A Multilevel Collective Framework for Internet of Things Digital Forensic Investigation. - Usama Salama; Lina Yao 001; Hye-Young Paik (Computer, 2022)

Balancing Generalization and Specialization in Zero-shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xiaojun Chang (CoRR, 2022)

Contrastive Graph Learning for Population-based fMRI Classification. - Xuesong Wang 002; Lina Yao 001; Islem Rekik; Yu Zhang 009 (CoRR, 2022)

Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation. - Siyu Wang 001; Xiaocong Chen; Lina Yao 001 (CoRR, 2022)

Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus. - Yun Li; Zhe Liu 023; Lina Yao 001; Molly Lucas; Jessica J. M. Monaghan; Yu Zhang 083 (CoRR, 2022)

Towards Explanation for Unsupervised Graph-Level Representation Learning. - Qinghua Zheng; Jihong Wang 003; Minnan Luo; Yaoliang Yu; Jundong Li; Lina Yao 001; Xiaojun Chang (CoRR, 2022)

Unsupervised Knowledge Adaptation for Passenger Demand Forecasting. - Can Li; Lei Bai 001; Wei Liu 101; Lina Yao 001; S. Travis Waller (CoRR, 2022)

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review. - Hao Wang 182; Bin Guo 001; Yating Zeng; Yasan Ding; Chen Qiu 005; Ying Zhang 047; Lina Yao 001; Zhiwen Yu 001 (CoRR, 2022)

See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity. - Zesheng Ye; Lina Yao 001; Yu Zhang; Sylvia Gustin (CoRR, 2022)

Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. - Siyu Wang 001; Xiaocong Chen; Lina Yao 001; Julian J. McAuley (CoRR, 2022)

Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. - Guanglin Zhou; Chengkai Huang; Xiaocong Chen; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001 (CoRR, 2022)

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects. - Guanglin Zhou; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001 (CoRR, 2022)

Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. - Dalin Zhang 001; Kaixuan Chen 001; Yan Zhao 008; Bin Yang 002; Lina Yao 001; Christian S. Jensen (CoRR, 2022)

The Neural Process Family: Survey, Applications and Perspectives. - Saurav Jha; Dong Gong; Xuesong Wang 002; Richard E. Turner; Lina Yao 001 (CoRR, 2022)

A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications. - Can Li; Lei Bai 001; Lina Yao 001; S. Travis Waller; Wei Liu 101 (CoRR, 2022)

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xiaojun Chang; Wei Fang 001; Xiaojun Wu 001; Yi Yang 001 (CoRR, 2022)

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities. - Kaixuan Chen 001; Dalin Zhang 001; Lina Yao 001; Bin Guo 001; Zhiwen Yu 001; Yunhao Liu 001 (ACM Comput. Surv., 2022)

Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network. - Nuo Li; Bin Guo 001; Yan Liu 045; Yasan Ding; En Xu; Lina Yao 001; Zhiwen Yu 001 (Data Min. Knowl. Discov., 2022)

Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. - Siyu Wang 001; Yuanjiang Cao; Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng (Frontiers Big Data, 2022)

Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Schahram Dustdar; Zhongjie Wang 003; Xiaofei Xu (IEEE Internet Comput., 2022)

RLTIR: Activity-Based Interactive Person Identification via Reinforcement Learning Tree. - Qingyang Li 002; Zhiwen Yu 001; Lina Yao 001; Bin Guo 001 (IEEE Internet Things J., 2022)

EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things. - Bin Wu 019; Lihong Zhong; Lina Yao 001; Yangdong Ye (IEEE Internet Things J., 2022)

A survey for trust-aware recommender systems: A deep learning perspective. - Manqing Dong; Feng Yuan; Lina Yao 001; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (Knowl. Based Syst., 2022)

Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. - Zhe Liu 023; Xianzhi Wang 001; Yun Li; Lina Yao 001; Jake An; Lei Bai 001; Ee-Peng Lim (Knowl. Based Syst., 2022)

Generative adversarial U-Net for domain-free few-shot medical diagnosis. - Xiaocong Chen; Yun Li; Lina Yao 001; Ehsan Adeli 001; Yu Zhang 009; Xianzhi Wang 001 (Pattern Recognit. Lett., 2022)

An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Julian J. McAuley; Xiaojun Chang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Graph Neural Network for Robust Public Transit Demand Prediction. - Can Li; Lei Bai 001; Wei Liu 101; Lina Yao 001; S. Travis Waller (IEEE Trans. Intell. Transp. Syst., 2022)

Passenger Demand Prediction With Cellular Footprints. - Jing Chu; Xu Wang 018; Kun Qian 004; Lina Yao 001; Fu Xiao 001; Jianbo Li; Zheng Yang 002 (IEEE Trans. Mob. Comput., 2022)

Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Zheng Yang 002; Xin Gao 001; Yunhao Liu 001 (IEEE Trans. Mob. Comput., 2022)

Agglomerative Neural Networks for Multiview Clustering. - Zhe Liu 023; Yun Li; Lina Yao 001; Xianzhi Wang 001; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

AskMe: joint individual-level and community-level behavior interaction for question recommendation. - Nuo Li; Bin Guo 001; Yan Liu 045; Lina Yao 001; Jiaqi Liu 002; Zhiwen Yu 001 (World Wide Web, 2022)

Deep Learning for Recommender Systems. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Aixin Sun; Ce Zhang 001 (Recommender Systems Handbook, 2022)

Interpolation graph convolutional network for 3D point cloud analysis. - Yao Liu 017; Lina Yao 001; Binghao Li; Claude Sammut; Xiaojun Chang (Int. J. Intell. Syst., 2022)

PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. - Huandong Wang; Changzheng Gao; Yuchen Wu; Depeng Jin; Lina Yao 001; Yong Li 008 (AAAI, 2023)

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Guandong Xu (ADMA (1), 2023)

NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. - Zesheng Ye; Jing Du 003; Yao Liu 017; Yihong Zhang 001; Lina Yao 001 (CIKM, 2023)

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. - Guanglin Zhou; Chengkai Huang; Xiaocong Chen; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001; Lina Yao 001 (CIKM, 2023)

HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. - Mingfei Han 002; Yali Wang 001; Zhihui Li 001; Lina Yao 001; Xiaojun Chang; Yu Qiao 001 (ICCV, 2023)

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. - Yun Li; Zhe Liu 023; Saurav Jha; Lina Yao 001 (ICCV, 2023)

Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. - Jing Du 003; Zesheng Ye; Bin Guo 001; Zhiwen Yu 001; Lina Yao 001 (ICDM, 2023)

Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. - Shiyi Yang 001; Lina Yao 001; Chen Wang 008; Xiwei Xu 001; Liming Zhu 001 (ICDM, 2023)

Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios. - Yao Liu 017; Binghao Li; Claude Sammut; Lina Yao 001 (ICONIP (9), 2023)

Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph. - Yihong Zhang 001; Takahiro Hara; Lina Yao 001 (IJCNN, 2023)

ALDA: An Adaptive Layout Design Assistant for Diverse Posters throughout the Design Process. - Qiuyun Zhang; Bin Guo 001; Lina Yao 001; Han Wang; Ying Zhang 047; Zhiwen Yu 001 (ACM Multimedia, 2023)

Integrating Social Environment in Machine Learning Model for Debiased Recommendation. - Yihong Zhang 001; Lina Yao 001; Takahiro Hara (MobiQuitous (2), 2023)

NPCL: Neural Processes for Uncertainty-Aware Continual Learning. - Saurav Jha; Dong Gong; He Zhao 001; Lina Yao 001 (NeurIPS, 2023)

Mask Propagation for Efficient Video Semantic Segmentation. - Yuetian Weng; Mingfei Han 002; Haoyu He 001; Mingjie Li 006; Lina Yao 001; Xiaojun Chang; Bohan Zhuang (NeurIPS, 2023)

DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender. - Xiaoxin Ye; Yun Li; Lina Yao 001 (RecSys, 2023)

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. - Chengkai Huang; Shoujin Wang; Xianzhi Wang 001; Lina Yao 001 (SIGIR, 2023)

Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. - Siyu Wang 001; Xiaocong Chen; Dietmar Jannach; Lina Yao 001 (SIGIR, 2023)

Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. - Siyu Wang 001; Xiaocong Chen; Quan Z. Sheng; Yihong Zhang 001; Lina Yao 001 (SIGIR, 2023)

Meta-learning for Estimating Multiple Treatment Effects with Imbalance. - Guanglin Zhou; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001 (WISE, 2023)

IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. - Jing Du 003; Zesheng Ye; Bin Guo 001; Zhiwen Yu 001; Lina Yao 001 (WSDM, 2023)

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. - Zihao Li 005; Xianzhi Wang 001; Chao Yang 024; Lina Yao 001; Julian J. McAuley; Guandong Xu (WSDM, 2023)

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. - Chengkai Huang; Shoujin Wang; Xianzhi Wang 001; Lina Yao 001 (WWW, 2023)

On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. - Guanglin Zhou; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001; Kun Zhang 001 (CoRR, 2023)

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. - Yun Li; Zhe Liu 023; Saurav Jha; Sally Cripps; Lina Yao 001 (CoRR, 2023)

Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion. - Yao Liu 017; Zesheng Ye; Binghao Li; Lina Yao 001 (CoRR, 2023)

Adversarially Contrastive Estimation of Conditional Neural Processes. - Zesheng Ye; Jing Du 003; Lina Yao 001 (CoRR, 2023)

Limits of Predictability in Top-N Recommendation. - En Xu; Zhiwen Yu 001; Ying Zhang 047; Bin Guo 001; Lina Yao 001 (CoRR, 2023)

Reinforcement Learning for Generative AI: A Survey. - Yuanjiang Cao; Quan Z. Sheng; Julian J. McAuley; Lina Yao 001 (CoRR, 2023)

When Large Language Models Meet Citation: A Survey. - Yang Zhang 095; Yufei Wang 003; Kai Wang 057; Quan Z. Sheng; Lina Yao 001; Adnan Mahmood; Wei Emma Zhang; Rongying Zhao (CoRR, 2023)

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. - Zhongyi Han; Guanglin Zhou; Rundong He; Jindong Wang 001; Tailin Wu; Yilong Yin; Salman H. Khan 001; Lina Yao 001; Tongliang Liu; Kun Zhang 001 (CoRR, 2023)

Cure-GNN: A Robust Curvature-Enhanced Graph Neural Network Against Adversarial Attacks. - Yang Xiao 014; Zhuolin Xing; Alex X. Liu; Lei Bai 001; Qingqi Pei; Lina Yao 001 (IEEE Trans. Dependable Secur. Comput., 2023)

Zero-Shot Camouflaged Object Detection. - Haoran Li; Chun-Mei Feng 001; Yong Xu 001; Tao Zhou 002; Lina Yao 001; Xiaojun Chang (IEEE Trans. Image Process., 2023)

Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity. - En Xu; Zhiwen Yu 001; Zhuo Sun 002; Bin Guo 001; Lina Yao 001 (ACM Trans. Intell. Syst. Technol., 2023)

Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. - Yun Li; Zhe Liu 023; Lina Yao 001; Jessica J. M. Monaghan; David McAlpine (IEEE J. Biomed. Health Informatics, 2023)

Attribute-Modulated Generative Meta Learning for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xiaojun Chang (IEEE Trans. Multim., 2023)

Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Xiaojun Chang; Julian J. McAuley; Lina Yao 001 (IEEE Trans. Multim., 2023)

Gradient Boosted Neural Decision Forest. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Quan Z. Sheng (IEEE Trans. Serv. Comput., 2023)

A blockchain framework data integrity enhanced recommender system. - May S. Altulyan; Lina Yao 001; Salil S. Kanhere; Chaoran Huang 001 (Comput. Intell., 2023)

Deep reinforcement learning in recommender systems: A survey and new perspectives. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Guanglin Zhou; Xianzhi Wang 001 (Knowl. Based Syst., 2023)

TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Zhihui Li 001; Lina Yao 001; Alex Hauptmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Attentional Gated Res2Net for Multivariate Time Series Classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Jing Jiang 002; Guandong Xu (Neural Process. Lett., 2023)

Adversarial dual autoencoders for trust-aware recommendation. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (Neural Comput. Appl., 2023)

Item trend learning for sequential recommendation system using gated graph neural network. - Ye Tao 004; Can Wang 004; Lina Yao 001; Weimin Li 001; Yonghong Yu (Neural Comput. Appl., 2023)

When Object Detection Meets Knowledge Distillation: A Survey. - Zhihui Li 001; Pengfei Xu 003; Xiaojun Chang; Luyao Yang; Yuanyuan Zhang; Lina Yao 001; Xiaojiang Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation. - Xiaocong Chen; Siyu Wang 001; Lianyong Qi; Yong Li 008; Lina Yao 001 (World Wide Web (WWW), 2023)

Quantifying predictability of sequential recommendation via logical constraints. - En Xu; Zhiwen Yu 001; Nuo Li; Helei Cui; Lina Yao 001; Bin Guo 001 (Frontiers Comput. Sci., 2023)

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. - Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Aixin Sun; Quan Z. Sheng (IEEE Trans. Knowl. Data Eng., 2023)

Uncertainty Estimation With Neural Processes for Meta-Continual Learning. - Xuesong Wang 002; Lina Yao 001; Xianzhi Wang 001; Hye-Young Paik; Sen Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Interdependence analysis on heterogeneous data via behavior interior dimensions. - Can Wang 004; Chi-Hung Chi; Lina Yao 001; Alan Wee-Chung Liew; Hong Shen 001 (Knowl. Based Syst., 2023)

Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation. - Xinshu Li; Lina Yao 001 (AAAI, 2024)

DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection. - Behnaz Soltani; Venus Haghighi; Yipeng Zhou; Quan Z. Sheng; Lina Yao 001 (CIKM, 2024)

On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. - Siyu Wang 001; Xiaocong Chen; Lina Yao 001 (CIKM, 2024)

Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles. - Shiyi Yang 001; Chen Wang 008; Xiwei Xu 001; Liming Zhu 001; Lina Yao 001 (CIKM, 2024)

Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning. - Yun Li; Zhe Liu 023; Hang Chen; Lina Yao 001 (CVPR, 2024)

Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. - Zhehao Zhang 001; Tong Yu 001; Handong Zhao; Kaige Xie; Lina Yao 001; Shuai Li 010 (ICASSP, 2024)

TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection. - Venus Haghighi; Behnaz Soltani; Nasrin Shabani; Jia Wu 001; Yang Zhang 095; Lina Yao 001; Quan Z. Sheng; Jian Yang 001 (ICDM, 2024)

Learning with Mixture of Prototypes for Out-of-Distribution Detection. - Haodong Lu 002; Dong Gong; Shuo Wang 012; Jason Xue 002; Lina Yao 001; Kristen Moore (ICLR, 2024)

Masked Distillation Advances Self-Supervised Transformer Architecture Search. - Caixia Yan; Xiaojun Chang; Zhihui Li 001; Lina Yao 001; Minnan Luo; Qinghua Zheng (ICLR, 2024)

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. - Yuhao Wu; Jiangchao Yao; Bo Han 003; Lina Yao 001; Tongliang Liu (ICML, 2024)

Independence Constrained Disentangled Representation Learning from Epistemological Perspective. - Ruoyu Wang 038; Lina Yao 001 (ICONIP (1), 2024)

LLM Enhanced Representation for Cold Start Service Recommendation. - Dunlei Rong; Lina Yao 001; Yinting Zheng; Shuang Yu; Xiaofei Xu; Mingyi Liu; Zhongjie Wang 003 (ICSOC (1), 2024)

Multi-agent Traffic Prediction via Denoised Endpoint Distribution. - Yao Liu 017; Ruoyu Wang 038; Yuanjiang Cao; Quan Z. Sheng; Lina Yao 001 (IROS, 2024)

Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. - Xiaocong Chen; Siyu Wang 001; Lina Yao 001 (KDD, 2024)

Self-Distilled Disentangled Learning for Counterfactual Prediction. - Xinshu Li; Mingming Gong; Lina Yao 001 (KDD, 2024)

In-Context Learning for Zero-shot Medical Report Generation. - Rui Liu; Mingjie Li 006; Shen Zhao; Ling Chen 006; Xiaojun Chang; Lina Yao 001 (ACM Multimedia, 2024)

StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech. - Haowei Lou; Hye-Young Paik; Wen Hu 001; Lina Yao 001 (MMAsia, 2024)

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. - Rui Wang 088; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Handong Zhao; Junda Wu; Subrata Mitra; Lina Yao 001; Ricardo Henao (NAACL-HLT (Findings), 2024)

CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. - Saurav Jha; Dong Gong; Lina Yao 001 (NeurIPS, 2024)

Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement. - Jing Du 003; Zesheng Ye; Bin Guo 001; Zhiwen Yu 001; Lina Yao 001 (SIGIR, 2024)

Robust Graph Learning Against Camouflaged Malicious Actors. - Venus Haghighi; Nasrin Shabani; Behnaz Soltani; Lina Yao 001; Quan Z. Sheng; Jian Yang 001; Amin Beheshti (WISE (2), 2024)

Regularized Multi-LLMs Collaboration for Enhanced Score-Based Causal Discovery. - Xiaoxuan Li 003; Yao Liu 017; Ruoyu Wang 038; Lina Yao 001 (WISE (4), 2024)

Deconfounded Causality-Aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs. - Ruoyu Wang 038; Xiaoxuan Li 003; Lina Yao 001 (WISE (4), 2024)

MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. - Hongtao Huang; Xiaojun Chang; Wen Hu 001; Lina Yao 001 (WWW, 2024)

Foundation Models for Recommender Systems: A Survey and New Perspectives. - Chengkai Huang; Tong Yu 001; Kaige Xie; Shuai Zhang 007; Lina Yao 001; Julian J. McAuley (CoRR, 2024)

Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models. - Yuzhe Zhang 001; Yipeng Zhang; Yidong Gan; Lina Yao 001; Chen Wang 008 (CoRR, 2024)

Uncertainty-aware Distributional Offline Reinforcement Learning. - Xiaocong Chen; Siyu Wang 001; Tong Yu 001; Lina Yao 001 (CoRR, 2024)

Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. - Chengkai Huang; Rui Wang 088; Kaige Xie; Tong Yu 001; Lina Yao 001 (CoRR, 2024)

Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement. - Jing Du 003; Zesheng Ye; Bin Guo 001; Zhiwen Yu 001; Lina Yao 001 (CoRR, 2024)

Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising. - Yao Liu 017; Quan Z. Sheng; Lina Yao 001 (CoRR, 2024)

Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning. - Guanglin Zhou; Zhongyi Han; Shiming Chen 002; Biwei Huang; Liming Zhu 001; Salman Khan 001; Xinbo Gao 001; Lina Yao 001 (CoRR, 2024)

AI Safety in Generative AI Large Language Models: A Survey. - Jaymari Chua; Yun Li; Shiyi Yang 001; Chen Wang 008; Lina Yao 001 (CoRR, 2024)

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. - Junda Wu; Xintong Li 001; Tong Yu 001; Yu Wang 170; Xiang Chen; Jiuxiang Gu; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2024)

Causality-Aware Transformer Networks for Robotic Navigation. - Ruoyu Wang 038; Yao Liu 017; Yuanjiang Cao; Lina Yao 001 (CoRR, 2024)

Visual Prompting in Multimodal Large Language Models: A Survey. - Junda Wu; Zhehao Zhang 001; Yu Xia 007; Xintong Li 001; Zhaoyang Xia; Aaron Chang; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ruiyi Zhang 002; Subrata Mitra; Dimitris N. Metaxas; et al. (CoRR, 2024)

Federated Large Language Models: Current Progress and Future Directions. - Yuhang Yao; Jianyi Zhang; Junda Wu; Chengkai Huang; Yu Xia 007; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Ang Li 005; Lina Yao 001; Julian J. McAuley; et al. (CoRR, 2024)

Flexiffusion: Segment-wise Neural Architecture Search for Flexible Denoising Schedule. - Hongtao Huang; Xiaojun Chang; Lina Yao 001 (CoRR, 2024)

Brain Network Diffusion-Driven fMRI Connectivity Augmentation for Enhanced Autism Spectrum Disorder Diagnosis. - Haokai Zhao; Haowei Lou; Lina Yao 001; Yu Zhang (CoRR, 2024)

Dual Conditional Diffusion Models for Sequential Recommendation. - Hongtao Huang; Chengkai Huang; Xiaojun Chang; Wen Hu 001; Lina Yao 001 (CoRR, 2024)

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference. - Jing Du 003; Zesheng Ye; Bin Guo 001; Zhiwen Yu 001; Jia Wu 001; Jian Yang 001; Michael Sheng 001; Lina Yao 001 (CoRR, 2024)

Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA. - Haodong Lu 002; Chongyang Zhao 003; Minhui Xue 001; Lina Yao 001; Kristen Moore; Dong Gong (CoRR, 2024)

Aligner-Guided Training Paradigm: Advancing Text-to-Speech Models with Aligner Guided Duration. - Haowei Lou; Helen Paik; Wen Hu 001; Lina Yao 001 (CoRR, 2024)

LatentSpeech: Latent Diffusion for Text-To-Speech Generation. - Haowei Lou; Helen Paik; Pari Delir Haghighi; Wen Hu 001; Lina Yao 001 (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (CoRR, 2024)

Limits of predictability in top-N recommendation. - En Xu; Kai Zhao; Zhiwen Yu 001; Ying Zhang 047; Bin Guo 001; Lina Yao 001 (Inf. Process. Manag., 2024)

Accelerating one-shot neural architecture search via constructing a sparse search space. - Hongtao Huang; Xiaojun Chang; Lina Yao 001 (Knowl. Based Syst., 2024)

Uncertainty-aware pedestrian trajectory prediction via distributional diffusion. - Yao Liu 017; Zesheng Ye; Rui Wang 088; Binghao Li; Quan Z. Sheng; Lina Yao 001 (Knowl. Based Syst., 2024)

Guided Image-to-Image Translation by Discriminator-Generator Communication. - Yuanjiang Cao; Lina Yao 001; Le Pan; Quan Z. Sheng; Xiaojun Chang (IEEE Trans. Multim., 2024)

Dyformer: A dynamic transformer-based architecture for multivariate time series classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Guandong Xu (Inf. Sci., 2024)

Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xiaojun Chang; Wei Fang 001; Xiaojun Wu 001; Abdulmotaleb El-Saddik (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Self-supervised cross-modal visual retrieval from brain activities. - Zesheng Ye; Lina Yao 001; Yu Zhang; Sylvia Gustin (Pattern Recognit., 2024)

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Julian J. McAuley; Sam Dixon (IEEE Trans. Neural Networks Learn. Syst., 2024)

To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods. - Dawen Zhang; Shidong Pan; Thong Hoang; Zhenchang Xing; Mark Staples; Xiwei Xu 001; Lina Yao 001; Qinghua Lu 001; Liming Zhu 001 (AI Ethics, 2024)

Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC. - Jiwei Huang; Bowen Ma; Ming Wang; Xiaokang Zhou; Lina Yao 001; Shoujin Wang; Lianyong Qi; Ying Chen 010 (IEEE Trans. Consumer Electron., 2024)

Hierarchical Constrained Variational Autoencoder for interaction-sparse recommendations. - Nuo Li; Bin Guo 001; Yan Liu 045; Yasan Ding; Lina Yao 001; Xiaopeng Fan; Zhiwen Yu 001 (Inf. Process. Manag., 2024)

Generalizing truth discovery by incorporating multi-truth features. - Xiu Susie Fang; Xianzhi Wang 001; Quan Z. Sheng; Lina Yao 001 (Computing, 2024)

Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition. - Yao Liu 017; Gangfeng Cui; Jiahui Luo; Xiaojun Chang; Lina Yao 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Modality aware contrastive learning for multimodal human activity recognition. - Sam Dixon; Lina Yao 001; Robert Davidson (Concurr. Comput. Pract. Exp., 2024)

Multi-view GCN for loan default risk prediction. - Zihao Li 005; Yakun Chen; Xianzhi Wang 001; Lina Yao 001; Guandong Xu (Neural Comput. Appl., 2024)

Special Issue on Responsible Recommender Systems Part 1. - Lina Yao 001; Julian J. McAuley; Xianzhi Wang 001; Dietmar Jannach (ACM Trans. Intell. Syst. Technol., 2024)

Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. - Yao Liu 017; Binghao Li; Xianzhi Wang 001; Claude Sammut; Lina Yao 001 (IEEE Trans. Knowl. Data Eng., 2024)

On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. - Xiaocong Chen; Siyu Wang 001; Julian J. McAuley; Dietmar Jannach; Lina Yao 001 (ACM Trans. Inf. Syst., 2024)

CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking. - Qiuyun Zhang; Bin Guo 001; Lina Yao 001; Xiaotian Qiao; Ying Zhang 047; Zhiwen Yu 001 (AAAI, 2025)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (ACL (Findings), 2025)

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. - Chengkai Huang; Yu Xia 007; Rui Wang 088; Kaige Xie; Tong Yu 001; Julian J. McAuley; Lina Yao 001 (COLING, 2025)

Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. - Huiyi Wang 001; Haodong Lu 002; Lina Yao 001; Dong Gong (CVPR, 2025)

Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration. - Chao Wang 102; Hehe Fan; Huichen Yang; Sarvnaz Karimi; Lina Yao 001; Yi Yang 001 (CVPR, 2025)

Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising. - Yongli Xiang; Ziming Hong; Lina Yao 001; Dadong Wang; Tongliang Liu (CVPR, 2025)

Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos. - Mingfei Han 002; Linjie Yang; Xiaojun Chang; Lina Yao 001; Heng Wang (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 001; Shusuke Takahashi; Yuki Mitsufuji (ICLR, 2025)

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. - Junda Wu; Xintong Li 001; Ruoyu Wang 038; Yu Xia 007; Yuxin Xiong; Jianing Wang 002; Tong Yu 001; Xiang Chen; Branislav Kveton; Lina Yao 001; Jingbo Shang; Julian J. McAuley (ICLR, 2025)

LightLLM: A Versatile Large Language Model for Predictive Light Sensing. - Jiawei Hu; Hong Jia; Mahbub Hassan; Lina Yao 001; Brano Kusy; Wen Hu 001 (SenSys, 2025)

ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language Models. - Chao Wang 102; Hehe Fan; Ruijie Quan; Lina Yao 001; Yi Yang 001 (SIGIR, 2025)

Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation. - Siyu Wang 001; Xiaocong Chen; Lina Yao 001 (WWW, 2025)

The 3rd Workshop on Personal Intelligence with Generative AI. - Yang Zhang 072; Wenjie Wang 007; Xinyu Lin 001; Fuli Feng; Hongzhi Yin; Wayne Xin Zhao; Lina Yao 001; Yang Song 008; Xiangnan He 001 (WWW (Companion Volume), 2025)

Deep learning meets bibliometrics: A survey of citation function classification. - Yang Zhang 095; Yufei Wang 003; Quan Z. Sheng; Lina Yao 001; Haihua Chen 002; Kai Wang 057; Adnan Mahmood; Wei Emma Zhang; Munazza Zaib; Subhash Sagar; Rongying Zhao (J. Informetrics, 2025)

Distilled mid-fusion transformer networks for multi-modal human activity recognition. - Jingcheng Li; Lina Yao 001; Binghao Li; Claude Sammut (Knowl. Based Syst., 2025)

HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization. - Guanglin Zhou; Zhongyi Han; Shiming Chen 002; Biwei Huang; Liming Zhu 001; Tongliang Liu; Lina Yao 001; Kun Zhang 001 (IEEE Trans. Multim., 2025)

Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation. - Siyu Wang 001; Xiaocong Chen; Julian J. McAuley; Sally Cripps; Lina Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance. - Qian Fu; Yuzhe Zhang 001; Yanfeng Shu; Ming Ding; Lina Yao 001; Chen Wang 008 (CoRR, 2025)

Diffusion Models for Computational Neuroimaging: A Survey. - Haokai Zhao; Haowei Lou; Lina Yao 001; Wei Peng 009; Ehsan Adeli 001; Kilian M. Pohl; Yu Zhang 009 (CoRR, 2025)

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. - Junda Wu; Yuxin Xiong; Xintong Li 001; Yu Xia 007; Ruoyu Wang 038; Yu Wang 160; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2025)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. - Zihao Li 005; Chao Yang 024; Yakun Chen; Xianzhi Wang 001; Hongxu Chen 002; Guandong Xu; Lina Yao 001; Michael Sheng 001 (ACM Comput. Surv., 2025)

Special Issue on Responsible Recommender Systems Part 2. - Lina Yao 001; Julian J. McAuley; Xianzhi Wang 001; Dietmar Jannach (ACM Trans. Intell. Syst. Technol., 2025)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models. - Chengkai Huang; Junda Wu; Yu Xia 007; Zixu Yu; Ruhan Wang; Tong Yu 001; Ruiyi Zhang 002; Ryan A. Rossi; Branislav Kveton; Dongruo Zhou; Julian J. McAuley; Lina Yao 001 (CoRR, 2025)

Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems. - Shiyi Yang 001; Zhibo Hu; Chen Wang 008; Tong Yu 001; Xiwei Xu 001; Liming Zhu 001; Lina Yao 001 (CoRR, 2025)

HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network. - Qian Li 003; Zhichao Wang 001; Haiyang Xia; Gang Li 009; Yanan Cao 001; Lina Yao 001; Guandong Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Generalized Multilingual Text-to-Speech Generation with Language-Aware Style Adaptation. - Haowei Lou; Hye-young Paik; Sheng Li 010; Wen Hu 001; Lina Yao 001 (CoRR, 2025)

Direct Advantage Regression: Aligning LLMs with Online AI Reward. - Li He; He Zhao 001; Stephen Wan 001; Dadong Wang; Lina Yao 001; Tongliang Liu (CoRR, 2025)

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms. - Chengkai Huang; Hongtao Huang; Tong Yu 001; Kaige Xie; Junda Wu; Shuai Zhang 007; Julian J. McAuley; Dietmar Jannach; Lina Yao 001 (CoRR, 2025)

CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks. - Rui Wang 088; Junda Wu; Yu Xia 007; Tong Yu 001; Ruiyi Zhang 002; Ryan A. Rossi; Lina Yao 001; Julian J. McAuley (CoRR, 2025)

MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. - Lishan Yang; Wei Zhang 098; Quan Z. Sheng; Weitong Chen 001; Lina Yao 001; Weitong Chen 001; Ali Shakeri 003 (CoRR, 2025)

Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors. - Haodong Lu 002; Xinyu Zhang 017; Kristen Moore; Minhui Xue 001; Lina Yao 001; Anton van den Hengel; Dong Gong (CoRR, 2025)

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review. - Hao Wang 182; Bin Guo 001; Yating Zeng; Mengqi Chen; Yasan Ding; Ying Zhang 047; Lina Yao 001; Zhiwen Yu 001 (ACM Trans. Inf. Syst., 2025)

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality. - Ruhan Wang; Zhiyong Wang; Chengkai Huang; Rui Wang; Tong Yu 001; Lina Yao 001; John C. S. Lui; Dongruo Zhou (CoRR, 2025)

Efficient and Generalizable Environmental Understanding for Visual Navigation. - Ruoyu Wang 038; Xinshu Li; Chen Wang 008; Lina Yao 001 (CoRR, 2025)

Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation. - Ruoyu Wang 038; Tong Yu 001; Junda Wu; Yao Liu 017; Julian J. McAuley; Lina Yao 001 (CoRR, 2025)

Little By Little: Continual Learning via Self-Activated Sparse Mixture-of-Rank Adaptive Learning. - Haodong Lu 002; Chongyang Zhao 003; Minhui Xue 001; Lina Yao 001; Kristen Moore; Dong Gong (CoRR, 2025)

Deep multimodal learning for time series analysis in social computing: a survey. - Chao Yang 024; Yakun Chen; Zihao Li 005; Xianzhi Wang 001; Kaize Shi; Lina Yao 001; Guandong Xu; Zhongwen Guo (Int. J. Multim. Inf. Retr., 2025)

Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning-Based Recommendation Systems. - Siyu Wang 001; Xiaocong Chen; Lina Yao 001 (ACM Trans. Intell. Syst. Technol., 2025)

SAND: Boosting LLM Agents with Self-Taught Action Deliberation. - Yu Xia 007; Yiran Shen 004; Junda Wu; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Lina Yao 001; Julian J. McAuley (CoRR, 2025)

Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation. - Xinshu Li; Ruoyu Wang 038; Erdun Gao; Mingming Gong; Lina Yao 001 (CoRR, 2025)

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer. - Ruoyu Wang 038; Junda Wu; Yu Xia 007; Tong Yu 001; Ryan A. Rossi; Julian J. McAuley; Lina Yao 001 (CoRR, 2025)

Retrieval-Augmented Review Generation for Poisoning Recommender Systems. - Shiyi Yang 001; Xinshu Li; Guanglin Zhou; Chen Wang 008; Xiwei Xu 001; Limin Zhu 001; Lina Yao 001 (CoRR, 2025)

FedHMIR: Unified Framework for Federated Human-Machine Synergy in Personalization-Generalization Balancing Identity Recognition. - Qingyang Li 002; Yuanjiang Cao; Qianru Wang; Lina Yao 001; Zhiwen Yu 001; Jiangtao Cui (IEEE Trans. Mob. Comput., 2025)

Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection. - Venus Haghighi; Behnaz Soltani; Nasrin Shabani; Jia Wu 001; Yang Zhang 095; Lina Yao 001; Jian Yang 001; Quan Z. Sheng (Knowl. Inf. Syst., 2025)

Self-supervised transformer architecture search via multi-level masked information fusion. - Caixia Yan; Xiaojun Chang; Weizhan Zhang; Zhihui Li 001; Lina Yao 001; Minnan Luo; Feng Tian 002 (Inf. Fusion, 2026)