XDO2: A Deductive Object-Oriented Query Language for XML. - Wei Zhang 098; Tok Wang Ling; Zhuo Chen; Gillian Dobbie (DASFAA, 2005)

The SJTU 4K video sequence dataset. - Li Song 001; Xun Tang; Wei Zhang 098; Xiaokang Yang 001; Pingjian Xia (QoMEX, 2013)

Indexing Linked Data in a Wireless Broadcast System with 3D Hilbert Space-Filling Curves. - Yongrui Qin; Quan Z. Sheng; Nickolas J. G. Falkner; Wei Emma Zhang; Hua Wang 002 (CIKM, 2014)

Graph-based large scale RDF data compression. - Wei Emma Zhang (SIGIR, 2014)

A Decremental Search Approach for Large Scale Dynamic Ridesharing. - Ali Shemshadi; Quan Z. Sheng; Wei Emma Zhang (WISE (1), 2014)

Identifying and Caching Hot Triples for Efficient RDF Query Processing. - Wei Emma Zhang; Quan Z. Sheng; Kerry Taylor; Yongrui Qin (DASFAA (2), 2015)

SIEF: Efficiently Answering Distance Queries for Failure Prone Graphs. - Yongrui Qin; Quan Z. Sheng; Wei Emma Zhang (EDBT, 2015)

Efficient Algorithms for Scheduling XML Data in a Mobile Wireless Broadcast Environment. - Yongrui Qin; Hua Wang 002; Ji Zhang 001; Xiaohui Tao 001; Wei Emma Zhang; Kerry L. Taylor; Quan Z. Sheng (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)

Ant colony algorithm based scheduling for handling software project delay. - Wei Zhang 098; Yun Yang 001; Junchao Xiao; Xiao Liu 004; Muhammad Ali Babar 001 (ICSSP, 2015)

Mining Source Code Topics Through Topic Model and Words Embedding. - Wei Emma Zhang; Quan Z. Sheng; Ermyas Abebe; Muhammad Ali Babar 001; Andi Zhou (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)

Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model. - Wenjie Ruan; Quan Z. Sheng; Peipei Xu; Nguyen Khoi Tran 001; Nickolas J. G. Falkner; Xue Li 001; Wei Emma Zhang (CIKM, 2016)

When Sensor Meets Tensor: Filling Missing Sensor Values Through a Tensor Approach. - Wenjie Ruan; Peipei Xu; Quan Z. Sheng; Nguyen Khoi Tran 001; Nickolas J. G. Falkner; Xue Li 001; Wei Emma Zhang (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)

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)

Towards Building Open Knowledge Base From Programming Question-Answering Communities. - Wei Emma Zhang; Ermyas Abebe; Quan Z. Sheng; Kerry L. Taylor (ISWC (Posters & Demos), 2016)

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

PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning. - Dongkuan Xu; Jia Wu 001; Wei Zhang 098; Yingjie Tian 001 (CoRR, 2016)

Searching the Big Data: Practices and Experiences in Efficiently Querying Knowledge Bases. - Wei Emma Zhang; Quan Z. Sheng (Handbook of Big Data Technologies, 2017)

Mining Load Profile Patterns for Australian Electricity Consumers. - Vanh Khuyen Nguyen; Wei Emma Zhang; Quan Z. Sheng; Jason Merefield (ADMA, 2017)

Feature Analysis for Duplicate Detection in Programming QA Communities. - Wei Emma Zhang; Quan Z. Sheng; Yanjun Shu; Vanh Khuyen Nguyen (ADMA, 2017)

Identifying Domains and Concepts in Short Texts via Partial Taxonomy and Unlabeled Data. - Yihong Zhang 001; Claudia Szabo; Quan Z. Sheng; Wei Emma Zhang; Yongrui Qin (CAiSE, 2017)

Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion. - Wenjie Ruan; Peipei Xu; Quan Z. Sheng; Nickolas J. G. Falkner; Xue Li 001; Wei Emma Zhang (DASFAA (1), 2017)

Let smart ants help you reduce the delay penalty of multiple software projects. - Wei Zhang 098; Xiao Liu 004; Yun Yang 001 (ICSE (Companion Volume), 2017)

A Tree-Based Reliability Analysis for Fault-Tolerant Web Services Composition. - Yanjun Shu; Decheng Zuo; Hongwei Liu 002; Quan Z. Sheng; Wei Emma Zhang; Jian Yang 001 (ICSOC, 2017)

Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules. - Wei Emma Zhang; Quan Z. Sheng; Jey Han Lau; Ermyas Abebe (WWW, 2017)

From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. - Xiu Susie Fang; Quan Z. Sheng; Xianzhi Wang 001; Wei Emma Zhang; Anne H. H. Ngu (CoRR, 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)

Practices and applications in ambient and intelligent information systems. - Quan Z. Sheng; Wei Emma Zhang; Elhadi M. Shakshuki (Pers. Ubiquitous Comput., 2017)

Managing Data From Knowledge Bases: Querying and Extraction - Wei Emma Zhang; Quan Z. Sheng (Springer, 2018)

Deep Autoencoder for Recommender Systems: Parameter Influence Analysis. - Dai Hoang Tran; Zawar Hussain; Wei Zhang 098; Khoa L. D. Nguyen; Nguyen Hoang Tran; Quan Z. Sheng (ACIS, 2018)

Related or Duplicate: Distinguishing Similar CQA Questions via Convolutional Neural Networks. - Wei Emma Zhang; Quan Z. Sheng; Zhejun Tang; Wenjie Ruan (SIGIR, 2018)

Identifying Price Index Classes for Electricity Consumers via Dynamic Gradient Boosting. - Vanh Khuyen Nguyen; Wei Emma Zhang; Quan Z. Sheng (WISE (2), 2018)

A Cache-based Optimizer for Querying Enhanced Knowledge Bases. - Wei Emma Zhang; Quan Z. Sheng; Schahram Dustdar (CoRR, 2018)

ContextServ: Towards Model-Driven Development of Context-AwareWeb Services. - Quan Z. Sheng; Jian Yu 002; Hanchuan Xu; Wei Emma Zhang; Anne H. H. Ngu; Jun Han 004; Ruilin Liu (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)

Decision Support for Project Rescheduling to Reduce Software Development Delays based on Ant Colony Optimization. - Wei Zhang 098; Yun Yang 001; Xiao Liu 004; Cheng Zhang 010; Xuejun Li 001; Rongbin Xu; Futian Wang; Muhammad Ali Babar 001 (Int. J. Comput. Intell. Syst., 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)

Duplicate Detection in Programming Question Answering Communities. - Wei Emma Zhang; Quan Z. Sheng; Jey Han Lau; Ermyas Abebe; Wenjie Ruan (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)

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)

Trust ManagementTrust Management for Software-Defined Heterogeneous Vehicular Ad Hoc NetworksVehicular Ad hoc Networks. - Adnan Mahmood; Wei Emma Zhang; Quan Z. Sheng; Sarah Ali Siddiqui; Abdulwahab Aljubairy (Security, Privacy and Trust in the IoT Environment, 2019)

Context-Aware Multi-QoS Prediction for Services in Mobile Edge Computing. - Zhizhong Liu; Quan Z. Sheng; Wei Emma Zhang; Dianhui Chu; Xiaofei Xu (SCC, 2019)

Overcoming the Bottlenecks in Next-Generation Heterogeneous Vehicular Networks: Is SDN the Optimal Solution? - Adnan Mahmood; Wei Emma Zhang; Quan Z. Sheng (ACSW, 2019)

A Novel Throughput Based Temporal Violation Handling Strategy for Instance-Intensive Cloud Business Workflows. - Futian Wang; Xiao Liu 004; Wei Zhang 098; Cheng Zhang 010 (ICDS, 2019)

Machine Learning Based Trust Model for Misbehaviour Detection in Internet-of-Vehicles. - Sarah Ali Siddiqui; Adnan Mahmood; Wei Emma Zhang; Quan Z. Sheng (ICONIP (4), 2019)

Bottom-Up Teaching Reformation for the Undergraduate Course of Computer Organization and Architecture. - Yanjun Shu; Wei Emma Zhang; Yanxin Liu; Chunpei Wang; Jian Dong; Zhan Zhang; Dongxi Wen; Decheng Zuo (ICPCSEE (2), 2019)

Demo Abstract: An End-to-End Real-Time Efficient System for Smart Energy Monitoring. - Vanh Khuyen Nguyen; Wei Emma Zhang; Khoa Le; Adnan Mahmood; Quan Z. Sheng (INFOCOM Workshops, 2019)

Poster: A Machine Learning based Hybrid Trust Management Heuristic for Vehicular Ad hoc Networks. - Sarah Ali Siddiqui; Adnan Mahmood; Wei Emma Zhang; Quan Z. Sheng (MobiCom, 2019)

A cost-effective and non-invasive system for sleep and vital signs monitoring using passive RFID tags. - Zawar Hussain; Subhash Sagar; Wei Emma Zhang; Quan Z. Sheng (MobiQuitous, 2019)

A Hybrid Trust Management Model for Secure and Resource Efficient Vehicular Ad hoc Networks. - Adnan Mahmood; Sarah Ali Siddiqui; Wei Emma Zhang; Quan Z. Sheng (PDCAT, 2019)

A Hybrid Trust Management Heuristic for VANETs. - Adnan Mahmood; Bernard Butler; Wei Emma Zhang; Quan Z. Sheng; Sarah Ali Siddiqui (PerCom Workshops, 2019)

IoT Device Identification via Network-Flow Based Fingerprinting and Learning. - Salma Abdalla Hamad; Wei Emma Zhang; Quan Z. Sheng; Surya Nepal (TrustCom/BigDataSE, 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)

Generating Textual Adversarial Examples for Deep Learning Models: A Survey. - Wei Emma Zhang; Quan Z. Sheng; Ahoud Alhazmi (CoRR, 2019)

Different Approaches for Human Activity Recognition: A Survey. - Zawar Hussain; Michael Sheng 001; Wei Emma Zhang (CoRR, 2019)

Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges. - Adnan Mahmood; Wei Emma Zhang; Quan Z. Sheng (Future Internet, 2019)

Salient object detection for RGB-D image by single stream recurrent convolution neural network. - Zhengyi Liu; Song Shi; Quntao Duan; Wei Zhang 098; Peng Zhao 010 (Neurocomputing, 2019)

Need of Ambient Intelligence for Next-Generation Connected and Autonomous Vehicles. - Adnan Mahmood; Bernard Butler; Quan Z. Sheng; Wei Emma Zhang; Brendan Jennings (Guide to Ambient Intelligence in the IoT Environment, 2019)

ABSA-Bench: Towards the Unified Evaluation of Aspect-based Sentiment Analysis Research. - Abhishek Das; Wei Emma Zhang (ALTA, 2020)

A Short Survey of Pre-trained Language Models for Conversational AI-A New Age in NLP. - Munazza Zaib; Quan Z. Sheng; Wei Emma Zhang (ACSW, 2020)

SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things. - Abdulwahab Aljubairy; Wei Emma Zhang; Quan Z. Sheng; Ahoud Alhazmi (CAiSE, 2020)

Helibot - A Smart Distributed Energy Resources Platform for Futuristic Smart Grids. - Vanh Khuyen Nguyen; Quan Z. Sheng; Adnan Mahmood; Wei Emma Zhang; Trung Duc Vo (CCGRID, 2020)

Linear Elements Separation via Vision System Feature and Seed Spreading from Topographic Maps. - Fei Xie 007; Yanning Zhang 001; Xinming Guo; Wei Zhang 098; Zhaoyong Zhou; Pengfei Xu 003 (CIS, 2020)

The 10 Research Topics in the Internet of Things. - Wei Emma Zhang; Quan Z. Sheng; Adnan Mahmood; Dai Hoang Tran; Munazza Zaib; Salma Abdalla Hamad; Abdulwahab Aljubairy; Ahoud Abdulrahmn F. Alhazmi; Subhash Sagar; Congbo Ma (CIC, 2020)

Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering. - Ruixue Tang; Chao Ma 004; Wei Emma Zhang; Qi Wu 001; Xiaokang Yang 001 (ECCV (19), 2020)

Trust Computational Heuristic for Social Internet of Things: A Machine Learning-based Approach. - Subhash Sagar; Adnan Mahmood; Quan Z. Sheng; Wei Emma Zhang (ICC, 2020)

Aspect Extraction Using Coreference Resolution and Unsupervised Filtering. - Deon Mai; Wei Emma Zhang (AACL/IJCNLP (Student Research Workshop), 2020)

Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach. - Ahoud Alhazmi; Wei Emma Zhang; Quan Z. Sheng; Abdulwahab Aljubairy (IJCNN, 2020)

Are Modern Deep Learning Models for Sentiment Analysis Brittleƒ An Examination on Part-of-Speech. - Ahoud Alhazmi; Wei Emma Zhang; Quan Z. Sheng; Abdulwahab Aljubairy (IJCNN, 2020)

HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems. - Dai Hoang Tran; Abdulwahab Aljubairy; Munazza Zaib; Quan Z. Sheng; Wei Emma Zhang; Nguyen Hoang Tran; Khoa L. D. Nguyen (IJCNN, 2020)

Demo Abstract: An Internet of Plants System for Micro Gardens. - Vanh Khuyen Nguyen; Quan Z. Sheng; Adnan Mahmood; Wei Emma Zhang; Minh-Hieu Phan; Trung Duc Vo (IPSN, 2020)

Reducing delay penalty of multiple concurrent software projects based on overtime planning. - Wei Zhang 098; Yun Yang 001; Xiao Liu 004 (ASE Workshops, 2020)

Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach. - Subhash Sagar; Adnan Mahmood; Michael Sheng 001; Munazza Zaib; Wei Zhang 098 (MobiQuitous, 2020)

A Behavioural Network Traffic Novelty Detection for the Internet of Things Infrastructures. - Salma Abdalla Hamad; Quan Z. Sheng; Dai Hoang Tran; Wei Emma Zhang; Surya Nepal (PAAP, 2020)

BERT-CoQAC: BERT-Based Conversational Question Answering in Context. - Munazza Zaib; Dai Hoang Tran; Subhash Sagar; Adnan Mahmood; Wei Emma Zhang; Quan Z. Sheng (PAAP, 2020)

Toothbrushing data and analysis of its potential use in human activity recognition applications: dataset. - Zawar Hussain; David Waterworth; Murtadha Aldeer; Wei Emma Zhang; Quan Z. Sheng (DATA@SenSys, 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 Hybrid Approach for Intrusive Appliance Load Monitoring in Smart Home. - Vanh Khuyen Nguyen; Minh-Hieu Phan; Wei Emma Zhang; Quan Z. Sheng; Trung Duc Vo (SmartIoT, 2020)

A system for effectively predicting flight delays based on IoT data. - Abdulwahab Aljubairy; Wei Emma Zhang; Ali Shemshadi; Adnan Mahmood; Quan Z. Sheng (Computing, 2020)

Realizing an Internet of Secure Things: A Survey on Issues and Enabling Technologies. - Salma Abdalla Hamad; Quan Z. Sheng; Wei Emma Zhang; Surya Nepal (IEEE Commun. Surv. Tutorials, 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)

A cross-modal adaptive gated fusion generative adversarial network for RGB-D salient object detection. - Zhengyi Liu; Wei Zhang 098; Peng Zhao 010 (Neurocomputing, 2020)

A review and categorization of techniques on device-free human activity recognition. - Zawar Hussain; Quan Z. Sheng; Wei Emma Zhang (J. Netw. Comput. Appl., 2020)

From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. - Xiu Susie Fang; Quan Z. Sheng; Xianzhi Wang 001; Wei Emma Zhang; Anne H. H. Ngu; Jian Yang 001 (ACM Trans. Intell. Syst. Technol., 2020)

Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey. - Wei Emma Zhang; Quan Z. Sheng; Ahoud Alhazmi; Chenliang Li (ACM Trans. Intell. Syst. Technol., 2020)

Dataset: Toothbrushing Data and Analysis of its Potential Use in Human Activity Recognition Applications. - Zawar Hussain; David Waterworth; Murtadha Aldeer; Wei Emma Zhang; Quan Z. Sheng (Zenodo, 2020)

A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects. - Abdulwahab Aljubairy; Ahoud Alhazmi; Wei Emma Zhang; Quan Z. Sheng; Dai Hoang Tran (ADMA, 2021)

Designing and Building Context-Aware Services: The ContextServ Project. - Quan Z. Sheng; Jian Yu 002; Wei Emma Zhang; Shuang Wang 012; Xiaoping Li 001; Boualem Benatallah (Next-Gen Digital Services, 2021)

Interpretable Analysis of NARX Neural Network Prediction MPA-AUC. - Dehua Chen; Wei Zhang 098; Kun Shao; Weiliang Zhao (CAIBDA, 2021)

When Trust Meets the Internet of Vehicles: Opportunities, Challenges, and Future Prospects. - Adnan Mahmood; Quan Z. Sheng; Sarah Ali Siddiqui; Subhash Sagar; Wei Emma Zhang; Hajime Suzuki; Wei Ni 001 (CIC, 2021)

Constructing COVID-19 Knowledge Graph from A Large Corpus of Scientific Articles. - Wei Emma Zhang; Queen Nguyen (ICBK, 2021)

Do You Brush Your Teeth Properly? An Off-body Sensor-based Approach for Toothbrushing Monitoring. - Zawar Hussain; David Waterworth; Murtadha Aldeer; Wei Emma Zhang; Quan Z. Sheng; Jorge Ortiz 001 (ICDH, 2021)

A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis. - Ahoud Alhazmi; Abdulwahab Aljubairy; Wei Emma Zhang; Quan Z. Sheng; Elaf Alhazmi (IJCNN, 2021)

A Web-based Knowledge Hub for Exploration of Multiple Research Article Collections. - Wei Emma Zhang; Miao Liu; Alan Pallath; Gokul Tamilventhan (SIGIR, 2021)

BERTDeep-Ware: A Cross-architecture Malware Detection Solution for IoT Systems. - Salma Abdalla Hamad; Dai Hoang Tran; Quan Z. Sheng; Wei Emma Zhang (TrustCom, 2021)

Towards a Deep Learning-Driven Service Discovery Framework for the Social Internet of Things: A Context-Aware Approach. - Abdulwahab Aljubairy; Ahoud Alhazmi; Wei Emma Zhang; Quan Z. Sheng; Dai Hoang Tran (WISE (2), 2021)

Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation. - Dai Hoang Tran; Salma Abdalla Hamad; Munazza Zaib; Abdulwahab Aljubairy; Quan Z. Sheng; Wei Emma Zhang; Nguyen Hoang Tran; Nguyen Lu Dang Khoa (WISE (2), 2021)

TDM-CFC: Towards Document-Level Multi-label Citation Function Classification. - Yang Zhang 095; Yufei Wang 003; Quan Z. Sheng; Adnan Mahmood; Wei Emma Zhang; Rongying Zhao (WISE (2), 2021)

A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP. - Munazza Zaib; Quan Z. Sheng; Wei Emma Zhang (CoRR, 2021)

A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep. - Zawar Hussain; Quan Z. Sheng; Wei Emma Zhang; Jorge Ortiz 001; Seyedamin Pouriyeh (CoRR, 2021)

A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data. - Wei Emma Zhang; Ali Shemshadi; Quan Z. Sheng; Yongrui Qin; Xiujuan Xu; Jian Yang 001 (IEEE Trans. Big Data, 2021)

Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation. - Qingsen Yan; Bo Wang 011; Wei Zhang 098; Chuan Luo 003; Wei Xu 005; Zhengqing Xu; Yanning Zhang 001; Qinfeng Shi; Liang Zhang 010; Zheng You (IEEE J. Biomed. Health Informatics, 2021)

Semi-supervised Intrusive Appliance Load Monitoring in Smart Energy Monitoring System. - Vanh Khuyen Nguyen; Wei Emma Zhang; Adnan Mahmood (ACM Trans. Sens. Networks, 2021)

Learning From the Source Document: Unsupervised Abstractive Summarization. - Haojie Zhuang; Wei Emma Zhang; Jian Yang 001; Congbo Ma; Yutong Qu; Quan Z. Sheng (EMNLP (Findings), 2022)

An Empirical Study on Topic Preservation in Multi-Document Summarization. - Mong Yuan Sim; Wei Emma Zhang; Congbo Ma (AACL/IJCNLP 2022 (Student Research Workshop), 2022)

Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. - Congbo Ma; Wei Emma Zhang; Hu Wang 005; Shubham Gupta; Mingyu Guo (PACLIC, 2022)

Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations. - Na Liu; Mark Dras; Wei Emma Zhang (RepL4NLP@ACL, 2022)

Deep Conversational Recommender Systems: Challenges and Opportunities. - Dai Hoang Tran; Quan Z. Sheng; Wei Emma Zhang; Salma Abdalla Hamad; Nguyen Lu Dang Khoa; Nguyen Hoang Tran (Computer, 2022)

Trust on wheels: Towards secure and resource efficient IoV networks. - Adnan Mahmood; Sarah Ali Siddiqui; Quan Z. Sheng; Wei Emma Zhang; Hajime Suzuki; Wei Ni 001 (Computing, 2022)

Understanding the Trustworthiness Management in the Social Internet of Things: A Survey. - Subhash Sagar; Adnan Mahmood; Quan Z. Sheng; Jitander Kumar Pabani; Wei Emma Zhang (CoRR, 2022)

Embedding Knowledge for Document Summarization: A Survey. - Yutong Qu; Wei Emma Zhang; Jian Yang 001; Lingfei Wu 001; Jia Wu 001; Xindong Wu 001 (CoRR, 2022)

Trust-SIoT: Towards Trustworthy Object Classification in the Social Internet of Things. - Subhash Sagar; Adnan Mahmood; Kai Wang 057; Quan Z. Sheng; Wei Emma Zhang (CoRR, 2022)

Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. - Taotao Cai; Qi Lei; Quan Z. Sheng; Shuiqiao Yang; Jian Yang 001; Wei Emma Zhang (CoRR, 2022)

Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization. - Congbo Ma; Wei Emma Zhang; Pitawelayalage Dasun Dileepa Pitawela; Yutong Qu; Haojie Zhuang; Hu Wang 005 (CoRR, 2022)

Non-invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive Review. - Zawar Hussain; Quan Z. Sheng; Wei Emma Zhang; Jorge Ortiz 001; Seyedamin Pouriyeh (ACM Trans. Comput. Heal., 2022)

Conversational question answering: a survey. - Munazza Zaib; Wei Emma Zhang; Quan Z. Sheng; Adnan Mahmood; Yang Zhang 095 (Knowl. Inf. Syst., 2022)

Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures. - Yutong Qu; Wei Emma Zhang; Jian Yang 001; Lingfei Wu 001; Jia Wu 001 (Knowl. Based Syst., 2022)

Object Detection in Remote Sensing Images With Balanced Rotational and Horizontal Bounding Boxes. - Zhigang Yang 003; Junyu Kong; Binxi Zheng; Ming Li; Wei Emma Zhang; Tao Chen 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Towards employing native information in citation function classification. - Yang Zhang 095; Rongying Zhao; Yufei Wang 003; Haihua Chen 002; Adnan Mahmood; Munazza Zaib; Wei Emma Zhang; Quan Z. Sheng (Scientometrics, 2022)

Correction to: Towards employing native information in citation function classification. - Yang Zhang 095; Rongying Zhao; Yufei Wang 003; Haihua Chen 002; Adnan Mahmood; Munazza Zaib; Wei Emma Zhang; Quan Z. Sheng (Scientometrics, 2022)

Context-Aware and Adaptive QoS Prediction for Mobile Edge Computing Services. - Zhizhong Liu; Quan Z. Sheng; Xiaofei Xu; Dianhui Chu; Wei Emma Zhang (IEEE Trans. Serv. Comput., 2022)

Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies. - Lipin Guo; Wei Emma Zhang; Weitong Chen 001; Ni Yang; Queen Nguyen; Trung Duc Vo (AI (1), 2023)

A Capability Description Language Design for Data Products. - Wei Zhang 098; Perry Chen; Jian Yang 001; Yongping Tang; Jianwen Su (DEC@SIGMOD, 2023)

SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. - Chang George Dong; Liangwei Nathan Zheng; Weitong Chen 001; Wei Emma Zhang; Lin Yue (ICKG, 2023)

Data Product-Oriented Services for Data Ecosystem. - Wei Emma Zhang; Perry Chen; Jian Yang 001; Jianwen Su; Quan Z. Sheng (ICWS, 2023)

The Exploration of Knowledge-Preserving Prompts for Document Summarisation. - Chen Chen; Wei Emma Zhang; Alireza Seyed Shakeri; Makhmoor Fiza (IJCNN, 2023)

Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering. - Munazza Zaib; Quan Z. Sheng; Wei Emma Zhang; Adnan Mahmood (IJCNN, 2023)

Hybrid Data Augmentation for Citation Function Classification. - Yang Zhang 095; Yufei Wang 003; Quan Z. Sheng; Adnan Mahmood; Wei Emma Zhang; Rongying Zhao (IJCNN, 2023)

A Client-Side Watermarking with Private-Class in Federated Learning. - Weitong Chen 002; Wei Zhang 098; Jiale Zhang 001; Xiaobing Sun 001; Xiang Cheng 004; Chengcheng Zhu (ML4CS, 2023)

Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution. - Zicong Wen; Wei Emma Zhang; Lipin Guo; Weitong Chen 001 (SenSys, 2023)

Learning to Select the Relevant History Turns in Conversational Question Answering. - Munazza Zaib; Wei Emma Zhang; Quan Z. Sheng; Subhash Sagar; Adnan Mahmood; Yang Zhang 095 (WISE, 2023)

SimSumIoT: A Platform for Simulating the Summarisation from Internet of Things. - Wei Emma Zhang; Adnan Mahmood; Lixin Deng; Minhao Zhu (WSDM, 2023)

Incorporating Knowledge into Document Summarization: an Application of Prefix-Tuning on GPT-2. - Chen Chen; Wei Emma Zhang; Alireza Seyed Shakeri (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)

Multi-document Summarization via Deep Learning Techniques: A Survey. - Congbo Ma; Wei Emma Zhang; Mingyu Guo; Hu Wang 005; Quan Z. Sheng (ACM Comput. Surv., 2023)

IQSrec: An Efficient and Diversified Skyline Services Recommendation on Incomplete QoS. - Yanjun Shu; Jianhang Zhang; Wei Emma Zhang; Decheng Zuo; Quan Z. Sheng (IEEE Trans. Serv. Comput., 2023)

CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation. - Dai Hoang Tran; Quan Z. Sheng; Wei Emma Zhang; Nguyen Hoang Tran; Nguyen Lu Dang Khoa (World Wide Web (WWW), 2023)

HeteGraph: graph learning in recommender systems via graph convolutional networks. - Dai Hoang Tran; Quan Z. Sheng; Wei Emma Zhang; Abdulwahab Aljubairy; Munazza Zaib; Salma Abdalla Hamad; Nguyen Hoang Tran; Nguyen Lu Dang Khoa (Neural Comput. Appl., 2023)

Trust-SIoT: Toward Trustworthy Object Classification in the Social Internet of Things. - Subhash Sagar; Adnan Mahmood; Kai Wang 057; Quan Z. Sheng; Jitander Kumar Pabani; Wei Emma Zhang (IEEE Trans. Netw. Serv. Manag., 2023)

Toward a Distributed Trust Management System for Misbehavior Detection in the Internet of Vehicles. - Adnan Mahmood; Quan Z. Sheng; Wei Emma Zhang; Yan Wang 002; Subhash Sagar (ACM Trans. Cyber Phys. Syst., 2023)

Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks. - Taotao Cai; Shuiqiao Yang; Jianxin Li 001; Quan Z. Sheng; Jian Yang 001; Xin Wang 030; Wei Emma Zhang; Longxiang Gao (IEEE Trans. Knowl. Data Eng., 2023)

Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs. - Weitong Chen 001; Wei Emma Zhang; Lin Yue (World Wide Web (WWW), 2023)

AMGAN: An Attribute-Matched Generative Adversarial Network for UAV Virtual Sample Generation. - Zhigang Yang 003; Xinbo Jia; Yahui Shen; Yuanlan Yang; Huiyang Li; Wei Emma Zhang (Neural Process. Lett., 2023)

Countering Relearning with Perception Revising Unlearning. - Chenhao Zhang 004; Weitong Chen 001; Wei Emma Zhang; Miao Xu 001 (ACML, 2024)

Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble. - Chang George Dong; Zhengyang David Li; Liangwei Nathan Zheng; Weitong Chen 001; Wei Emma Zhang (CIKM, 2024)

Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. - Liangwei Nathan Zheng; Chang George Dong; Wei Emma Zhang; Xin Chen 003; Lin Yue; Weitong Chen 001 (CIKM, 2024)

Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. - Liangwei Nathan Zheng; Zhengyang Li; Chang George Dong; Wei Emma Zhang; Lin Yue; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CIKM, 2024)

Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations. - Haojie Zhuang; Wei Emma Zhang; Jian Yang 001; Weitong Chen 001; Quan Z. Sheng (CIKM, 2024)

Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization. - Haojie Zhuang; Wei Emma Zhang; Chang Dong; Jian Yang 001; Quan Sheng (EACL (Findings), 2024)

Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation. - Elaf Alhazmi; Quan Sheng; Wei Emma Zhang; Munazza Zaib; Ahoud Alhazmi (EMNLP, 2024)

Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks (Extended Abstract). - Taotao Cai; Shuiqiao Yang; Jianxin Li 001; Quan Z. Sheng; Jian Yang 001; Xin Wang 030; Wei Emma Zhang; Longxiang Gao (ICDE, 2024)

Attention Enhancement With Parallel Groups for Remote Sensing Object Detection. - Zhigang Yang 003; Yiming Liu; Zehao Gao; Jiayue He; Tao Chen 002; Wei Emma Zhang (ICIP, 2024)

CDL+: An Extended Capability Description Language Design For Medical Data-Driven Process. - Yongping Tang; Wei Emma Zhang (ICSOC Workshops (1), 2024)

Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing. - Yutong Qu; Jian Yang 001; Wei Emma Zhang; Weitong Chen 001; Hong Qing Yu (ICWS, 2024)

Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems. - Ali Shakeri 003; Perry Chen; Yanjun Shu; Lishan Yang; Wei Emma Zhang; Weitong Chen 001 (ICWS, 2024)

Disentangling Specificity for Abstractive Multi-document Summarization. - Congbo Ma; Wei Emma Zhang; Hu Wang 005; Haojie Zhuang; Mingyu Guo (IJCNN, 2024)

Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output. - Haojie Zhuang; Wei Emma Zhang; Leon Xie; Weitong Chen 001; Jian Yang 001; Quan Sheng (NAACL-HLT, 2024)

Learning Contrastive Representations for Dense Passage Retrieval in Open-Domain Conversational Question Answering. - Munazza Zaib; Quan Z. Sheng; Wei Emma Zhang; Elaf Alhazmi; Adnan Mahmood (WISE (1), 2024)

Understanding the trustworthiness management in the social Internet of Things: A survey. - Subhash Sagar; Adnan Mahmood; Quan Z. Sheng; Wei Emma Zhang; Yang Zhang 095; Jitander Kumar Pabani (Comput. Networks, 2024)

Distractor Generation for Multiple-Choice Questions: A Survey of Methods, Datasets, and Evaluation. - Elaf Alhazmi; Quan Z. Sheng; Wei Emma Zhang; Munazza Zaib; Ahoud Alhazmi (CoRR, 2024)

A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data. - Xinyi Wang; Grazziela P. Figueredo; Ruizhe Li 005; Wei Emma Zhang; Weitong Chen 001; Xin Chen 003 (CoRR, 2024)

Rethinking Transformer-based Multi-document Summarization: An Empirical Investigation. - Congbo Ma; Wei Emma Zhang; Dileepa Pitawela; Haojie Zhuang; Yanfeng Shu (CoRR, 2024)

Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis. - Chang Dong; Liangwei Zheng; Weitong Chen 001; Wei Emma Zhang (CoRR, 2024)

Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble. - Chang Dong; Zhengyang Li; Liangwei Zheng; Weitong Chen 001; Wei Emma Zhang (CoRR, 2024)

Revisited Large Language Model for Time Series Analysis through Modality Alignment. - Liangwei Nathan Zheng; Chang George Dong; Wei Emma Zhang; Lin Yue; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2024)

Deep Convolutional Feature Enhancement for Remote Sensing Object Detection. - Zhigang Yang 003; Yiming Liu; Zehao Gao; Guiwei Wen; Wei Emma Zhang; Yihan Xiao (IEEE Geosci. Remote. Sens. Lett., 2024)

Object Detection in Remote Sensing Images With Parallel Feature Fusion and Cascade Global Attention Head. - Zhigang Yang 003; Yiming Liu; Guiwei Wen; Xiangyu Xia; Wei Emma Zhang; Tao Chen 002 (IEEE Geosci. Remote. Sens. Lett., 2024)

S$^{{ text{3}}}$Seg: A Three-Stage Unsupervised Foreground and Background Segmentation Network. - Zhigang Yang 003; Yahui Shen; Lin Hou; Wei Emma Zhang; Tao Chen 002 (IEEE Signal Process. Lett., 2024)

LPST-Det: Local-Perception-Enhanced Swin Transformer for SAR Ship Detection. - Zhigang Yang 003; Xiangyu Xia; Yiming Liu; Guiwei Wen; Wei Emma Zhang; Limin Guo (Remote. Sens., 2024)

Disentangle interest trend and diversity for sequential recommendation. - Zihao Li 005; Yunfan Xie; Wei Emma Zhang; Pengfei Wang 009; Lixin Zou; Fei Li; Xiangyang Luo; Chenliang Li (Inf. Process. Manag., 2024)

Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. - Taotao Cai; Qi Lei; Quan Z. Sheng; Ningning Cui; Shuiqiao Yang; Jian Yang 001; Wei Emma Zhang; Adnan Mahmood (IEEE Trans. Knowl. Data Eng., 2024)

Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models. - Mong Yuan Sim; Wei Emma Zhang; Xiang Dai; Biaoyan Fang (ACL (Findings), 2025)

Proceedings of the First Workshop of Evaluation of Multi-Modal Generation. - Wei Emma Zhang; Xiang Dai; Desmond Elliott; Byron Fang; Mong Yuan Sim; Haojie Zhuang; Weitong Chen (COLING Workshops, 2025)

TrojanTime: Backdoor Attacks on Time Series Classification. - Chang Dong; Zechao Sun; Guangdong Bai; Shuying Piao; Weitong Chen 001; Wei Emma Zhang (PAKDD (4), 2025)

FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings. - Ali Shakeri 003; Wei Emma Zhang; Amin Beheshti; Weitong Chen 001; Jian Yang 001; Lishan Yang (PAKDD (5), 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)

A survey of deep-learning-based radiology report generation using multimodal inputs. - Xinyi Wang; Grazziela P. Figueredo; Ruizhe Li 005; Wei Emma Zhang; Weitong Chen 001; Xin Chen 003 (Medical Image Anal., 2025)

Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers. - Shuang Wang 012; He Zhang; Tianxing Wu 001; Yueyou Zhang; Wei Emma Zhang; Quan Z. Sheng (IEEE Trans. Serv. Comput., 2025)

Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability. - Liangwewi Nathan Zheng; Wei Emma Zhang; Lin Yue; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2025)

Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items. - Chenhao Zhang 004; Weitong Chen 001; Wei Zhang 098; Miao Xu 001 (ACM Trans. Intell. Syst. Technol., 2025)

Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation. - Haojie Zhuang; Wei Zhang 098; Weitong Chen 001; Jian Yang 001; Quan Z. Sheng (ACM Trans. Intell. Syst. Technol., 2025)

PostHoc FREE Calibrating on Kolmogorov Arnold Networks. - Wenhao Liang; Wei Emma Zhang; Lin Yue; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2025)

We Care Each Pixel: Calibrating on Medical Segmentation Model. - Wenhao Liang; Wei Zhang 098; Yue Lin; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2025)

Dynamic Compressing Prompts for Efficient Inference of Large Language Models. - Jinwu Hu; Wei Zhang 098; Yufeng Wang 004; Yu Hu 004; Bin Xiao 004; Mingkui Tan; Qing Du (CoRR, 2025)

A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities. - Shuang Wang 012; He Zhang; Quan Z. Sheng; Xiaoping Li 001; Zhu Sun 001; Taotao Cai; Wei Emma Zhang; Jian Yang 001; Qing Gao 001 (IEEE Trans. Big Data, 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)

Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate. - Liangwei Nathan Zheng; Wei Emma Zhang; Mingyu Guo; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2025)

FedMLC: White-Box Model Watermarking for Copyright Protection in Federated Learning for IoT Environment. - Weitong Chen 002; Wei Zhang 098; Di Wu 050; Anja Keskinarkaus; Tapio Seppänen; Jiale Zhang 001; Longxiang Gao; Tom H. Luan (IEEE Internet Things J., 2025)

Calibration Attention: Instance-wise Temperature Scaling for Vision Transformers. - Wenhao Liang; Wei Emma Zhang; Lin Yue; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2025)

Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution? - Ahoud Alhazmi; Abdulwahab Aljubairy; Wei Emma Zhang; Quan Z. Sheng; Elaf Alhazmi (ACM Trans. Intell. Syst. Technol., 2025)

Causal Meta-learning with Multi-view Graphs for Cold-start Recommendation. - Huiting Liu 001; Wei Zhang 098; Pei-Pei Li 001; Peng Zhao 010; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2025)