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Recent Publications

Books
  • Wei Emma Zhang, Quan Z. Sheng. Managing Data From Knowledge Bases: Querying and Extraction. Springer 2018, ISBN 978-3-319-94934-5.

    • Refereed Book Chapters
  • Adnan Mahmood, Bernard Butler, Quan Z. Sheng, Wei Emma Zhang, Brendan Jennings. Need of Ambient Intelligence for Next-Generation Connected and Autonomous Vehicles. In: Zaigham Mahmood (eds) Guide to Ambient Intelligence in the IoT Environment. Computer Communications and Networks. Springer, 2019.
  • Wei Emma Zhang, Quan Z. Sheng. Searching the Big Data: Practices and Experiences in Efficiently Querying Knowledge Bases. In Springer Handbook on Big Data, 2016.

    • Other Edited Books/Proceedings/Special Issues
  • Quan Z. Sheng, Wei Emma Zhang, and Elhadi Shakshuki. Practices and Applications in Ambient and Intelligent Information Systems. Personal and Ubiquitous Computing, Springer 2017.
  • Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun. Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings. Lecture Notes in Computer Science, Springer 2017.
  • Amin Beheshti, Mustafa Hashmi, Hai Dong, Wei Emma Zhang. Service Research and Innovation 5th and 6th Australasian Symposium, ASSRI 2015 and ASSRI 2017, Sydney, NSW, Australia November 2-3, 2015, and October 19-20, 2017 Revised Selected Papers. Lecture Notes in Business Information Processing, Springer 2017.

    • Journals
  • Subhash Sagar, Adnan Mahmood, Kai Wang, Quan Z. Sheng, Jitander Kumar Pabani, and Wei Emma Zhang. Trust-SIoT: Towards Trustworthy Object Classification in Social Internet of Things. IEEE Transactions on Network and Service Management. Accepted in Feburary 2023.
  • Zhigang Yang, Junyu Kong; Binxi Zheng, Ming Li, Wei Emma Zhang, Tao Chen. Object Detection in Remote Sensing Images with Balanced Rotational and Horizontal Bounding Boxes. IEEE Geoscience and Remote Sensing Letters. Accepted in September 2022.
  • Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu and Jia Wu. Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architectures. Knowledge-Based Systems 257: 109882 (2022)
  • Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood and Yang Zhang. Conversational question answering: a survey. Knowledge and Information Systems. 64(12): 3151-3195 (2022).
  • Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, and Longxiang Gao. Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks, Transactions on Knowledge and Data Engineering (TKDE). Accepted in August 2022.
  • Yanjun Shu, Jianhang Zhang, Wei Emma Zhang, Decheng Zuo, Quan Z. Sheng. IQSrec: An Efficient and Diversified Skyline Services Recommendation on Incomplete QoS, IEEE Transactions on Services Computing (TSC). Accepted in July 2022.
  • Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Nguyen H. Tran and Nguyen Lu Dang Khoa. CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation, World Wide Web Journal (WWWJ), May (2022).
  • Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, and Quan Z. Sheng. Multi-document Summarization via Deep Learning Techniques: A Survey. ACM Computing Surveys (CSUR) 55(5): 102:1-102:37 (2023).
  • Wei Emma Zhang, Ruidong Chang and Minhao Zhu. Time Series Visualization and Forecasting from Australian Building and Construction Statistics. Applied Sciences, 2022, 12(5), 2420.
  • Yang Zhang, Rongying Zhao, Yufei Wang, Haihua Chen, Adnan Mahmood, Munazza Zaid, Wei Emma Zhang and Quan Z. Sheng. Towards Employing Native Information in Citation Function Classification. Scientometrics 127(11): 6557-6577 (2022).
  • Adnan Mahmood, Quan Z. Sheng and Wei Emma Zhang. Trust on Wheels - Towards Secure and Resource Efficient IoV Networks. Computing 104(6): 1337-1358 (2022).
  • Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang Non-Invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive Review. ACM Transactions on Computing for Healthcare, 3(2):24, pp 1-26, 2022.
  • Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Nguyen Lu Dang Khoa, and Nguyen H. Tran. Deep Conversational Recommender Systems: Challenges and Opportunities. IEEE Computer (Computer), 55(4): 30-39 (2022).
  • Zawar Hussain, David Waterworth, Adnan Mahmood, Quen Z. Sheng, and Wei Emma Zhang. Dataset for toothbrushing activity using brush-attached and wearable sensors, Data in Brief, vol. 37, pp 1--7, 2021.
  • Minh H. Phan, Queen Nguyen, Son L. Phung, Wei Emma Zhang, Trung D. Vo and Quan Z. Sheng. CompactNet: A Light-Weight Deep Learning Framework for Smart Intrusive Load Monitoring. IEEE Sensors Journal (Sensors), 2021 (to appear).
  • Kai Xing, Pan Zhou, Jiaojiao Li, Miao Liu and Wei Emma Zhang. Inhibitory Effect of PD-1/PD-L1 and Blockade Immunotherapy in Leukemia. Combinatorial Chemistry & High Throughput Screening, 2021 (to appear).
  • Vanh Khuyen Nguyen, Wei Emma Zhang, Adnan Mahmood. Semi-supervised Intrusive Appliance Load Monitoring in Smart Energy Monitoring System. ACM Transactions on Sensor Networks (TOSN), Vol 17, No. 3, pp 32:1--32:20, 2021.
  • Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Abdulwahab Aljubairy, Munazza Zaib, Salma Abdalla Hamad, Nguyen H. Tran, and Nguyen Lu Dang Khoa. HeteGraph: Graph Learning in Recommender Systems via Graph Convolutional Networks. Neural Computing and Applications (NCAA), Jan 2021.
  • Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu, and Jian Yang. From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. ACM Transactions on Intelligent Systems and Technology (TIST), Vol 11, No 6, p74, 2020.
  • Zawar Hussain, Quan Z. Sheng, and Wei Emma Zhang. A Review and Categorization of Techniques on Device-Free Human Activity Recognition. Journal of Networking and Computer Applications, Elsevier, Vol 167, Article 102738, 2020.
  • Salma Abdalla Hamad, Quan Z. Sheng, Wei Emma Zhang, and Surya Nepal. Realizing an Internet of Secure Things: A Survey on Issues and Enabling Technologies. IEEE Communications Surveys and Tutorials, Vol 22, No 2, pp 1372-1391, 2020.
  • Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, and Chenliang Li. Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey. ACM Transactions on Intelligent Systems and Technology (TIST), Vol 11, No. 3, 2020. EiC's Pick as Five Outstanding TIST Articles in Jan 2022.
  • Abdulwahab Aljubairy, Wei Emma Zhang, Ali Shemshadi, Adnan Mahmood, and Quan Z. Sheng. A System for Effectively Predicting Flight Delays based on IoT Data. Computing, Computing, 102(9), pp.2025-2048, Springer, 2020.
  • Yanjun Shu, Wei Emma Zhang, Yanxin Liu, Chunpei Wang, Jian Dong, Zhan Zhang, Dongxi Wen, Decheng Zuo Bottom-Up Teaching Reformation for the Undergraduate Course of Computer Organization and Architecture. Communications in Computer and Information Science. Vol. 1059, p. 303-312, 2019.
  • Zhizhong Liu, Quan Z. Sheng, Xiaofei Xu, Dianhui Chu, and Wei Emma Zhang. Context-Aware and Adaptive QoS Prediction for Mobile Edge Computing Services. IEEE Transactions on Services Computing (TSC), 2019.
  • Adnan Mahmood, Wei Emma Zhang, and Quan Z. Sheng. Software-defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges. Future Internet, MDPI, Vol 11, No 3, p70, 2019 (Invited paper, 10th Anniversary Feature Papers).
  • Wei Emma Zhang, Ali Shemshadi, Quan Z. Sheng, Yongrui Qin. A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data. IEEE Transactions on Big Data (TBD). In Press.
  • Tran Khoi Nguyen, Quan Z. Sheng, M. Ali Babar, Lina Yao, Wei Emma Zhang, Schahram Dustdar. Internet of Things Search Engine: Concepts, classification, and open issues. Communications of the ACM (CACM), Vol. 62, No. 7, pp 66-73, 2019.

    • Conferences
  • Chen Chen, Wei Emma Zhang, Alireza Seyed Shakeri and Makhmoor Fiza. The Exploration of Knowledge-Preserving Prompts for Document Summarisation, International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Queensland, June 18-23, 2023.
  • Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang and Adnan Mahmood. Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering, International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Queensland, June 18-23, 2023.
  • Yang Zhang, Yufei Wang,Quan Z. Sheng, Adnan Mahmood,Wei Emma Zhang, and Rongying Zhao. Hybrid Data Augmentation for Citation Function Classification, International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Queensland, June 18-23, 2023.
  • Wei Emma Zhang, Adnan Mahmood, Lixin Deng and Minhao Zhu. SimSumIoT: A Platform for Simulating the Summarization from Internet of Things, The 16th ACM International Conference on Web Search and Data Mining (WSDM 2023), Demostration track. Singapore, Feburary 27-March 3, 2023.
  • Haojie Zhuang, Wei Emma Zhang, Jian Yang, Congbo Ma, Yutong Qu and Quan Z. Sheng. Learning From the Source Document: Unsupervised Abstractive Summarization, In Proc. of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Findings. Hybrid, Abu Dhabi, December 7-11, 2022.
  • Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta and Mingyu Guo. Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization, In Proc. Of the 36th annual Meeting of Pacific Asia Conference on Language, Information and Computation (PACLIC 36), Virtual, October 20-22, 2022.
  • Congbo Ma, Wei Emma Zhang, Pitawelayalage Dasun Pitawela, Yutong Qu, Haojie Zhuang, Hu Wang. Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization, In Proc. of the 2022 International Joint Conference on Neural Networks (IJCNN 2022), Padua, Italy, July 18-23, 2022.
  • Adnan Mahmood, Quan Z. Sheng, Sarah Ali Siddiqui, Subhash Sagar, Wei Emma Zhang, Hajime Suzuki and Wei Ni. When Trust Meets the Internet of Vehicles: Opportunities, Challenges, and Future Prospects, In Proc. of the 7th International Conference on Collaboration and Internet Computing (IEEE CIC 2021), Virtual Conference, December 13-15, 2021 (Invited paper).
  • Abdulwahab Aljubairy, Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng. A Fast and Accurate Approach for Inferencing Social Relationships among IoT Objects. In Proc. of the 17th anniversary of the International Conference on Advanced Data Mining and Applications (ADMA 2021), Sydney, Australia, December 1-3, 2021.
  • Dai Hoang Tran, Michael Sheng, Wei Emma Zhang, Lu Dang Khoa Nguyen and Nguyen H. Tran. Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation . In Proc. of the 22nd International Conference on Web Information Systems Engineering (WISE 2021), Melbourne, Australia, October 26-29, 2021.
  • Abdulwahab Aljubairy, Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng and Dai Hoang Tran. Towards a Deep Learning-driven Service Discovery Framework for the Social Internet of Things: A Context-aware Approach. In Proc. of the 22nd International Conference on Web Information Systems Engineering (WISE 2021), Melbourne, Australia, October 26-29, 2021.
  • Yang Zhang, Yufei Wang, Michael Sheng, Adnan Mahmood, Wei Emma Zhang and Rongying Zhao. TDM-CFC: Towards Document-level Multi-label Citation Function Classification . In Proc. of the 22nd International Conference on Web Information Systems Engineering (WISE 2021), Melbourne, Australia, October 26-29, 2021.
  • Wei Emma Zhang and Queen Nguyen. Constructing COVID-19 Knowledge Graph from A Large Corpus of Scientific Articles . In Proc. of the 12th IEEE International Conference on Big Knowledge (ICBK 2021), Auckland, New Zealand, December 7-8, 2021.
  • Zawar Hussain, David Waterworth, Murtadha Aldeer, Wei Emma Zhang, Quan Z Sheng and Jorge Ortiz. Do You Brush Your Teeth Properly? An Off-body Sensor-based Approach for Toothbrushing Monitoring . In Proc. of the 2021 IEEE International Conference on Digital Health (ICDH 2021). Virtual Conference, September 5-10, 2021.
  • Salma Abdalla Hamad,, Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang. BERTDeep-Ware: A Cross-architecture Malware Detection Solution for IoT Systems . In Proc. of the 20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrusCom 2021). Shenyang, China. August 18-20, 2021.
  • Qiaoyang Luo, Lingqiao Liu, Yuhao Lin and Wei Zhang. Don't Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification . In Proc. of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). Bangkok, Thailand. August 1-6, 2021.
  • Wei Emma Zhang, Miao Liu, Alan Pallath and Gokul Tamilventhan. A Web-based Knowledge Hub for Exploration of Multiple Research Article Collections. In Proc. of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021). Demonstration track. Virtual Conference, July 11-15, 2021.
  • Ahoud Alhazmi, Abdulwahab Aljubairy, Wei Emma Zhang, Quan Z. Sheng and Elaf Alhazmi. A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis. In Proc. of the 2021 International Joint Conference on Neural Networks (IJCNN 2021), Virtual Conference, July 18-22 2020.
  • Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Dai Hoang Tran, Munazza Zaib, Salma Abdalla Hamad, Abdulwahab Aljubairy, Ahoud Alhazmi, and Congbo Ma. The 10 Research Topics in the Internet of Things. In Proc. of The 6th International Conference on Collaboration and Internet Computing (IEEE CIC 2020). Virtual Conference, December 1-3, 2020. (Invited Paper)
  • Abhishek Das and Wei Emma Zhang. ABSA-Bench: Towards the Unified Evaluation of Aspect-basedSentiment Analysis Research. In Proc. of the The 18th Annual Workshop of the Australasian Language Technology Association(ALTA 2020), January 13-15, 2021.
  • Deon Mai and Wei Emma Zhang. Aspect Extraction Using Coreference Resolution and Unsupervised Filtering. In Proc. of the first AACL-IJCNLP 2020 Student Research Workshop(AACL-SRW 2020), December 7, 2020.
  • Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Munazza Zaib and Wei Emma Zhang. Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach. In Proc. of the 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (MobiQuitous 2020), December 7-9, 2020.
  • Zawar Hussain, David Waterworth, Murtadha Aldeer, Wei Emma Zhang and Quan Z. Sheng. Dataset: Toothbrushing Data and Analysis of its Potential Use in Human Activity Recognition Applications. In Proc. of the 3rd Workshop on Data Acquisition to Analysis (DATA 2020), November 16, Yokohama, Japan, 2020.
  • Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang. A Short Survey of Pre-trained Language Models for Conversational AI-A New Age in NLP . In Proc. 2020 Australasian Computer Science Week (ACSW 2020), Melbourne, Australia, February 3-7, 2020.
  • Ruixue Tang, Chao Ma, Wei Emma Zhang, Qi Wu, Xiaokang Yang. Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering . In Proc. of the 16th European Conference on Computer Vision (ECCV 2020), August 23-28, 2020.
  • Yuan Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang. Adversarial Attack and Detection on Reinforcement Learning based Recommendation System. In Proc. Of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Short paper, Xi'an, China, July 25-30, 2020.
  • Vanh Khuyen Nguyen, Minh-Hieu Phan, Wei Emma Zhang, Quan Z. Sheng and Trung Duc Vo. A Hybrid Approach for Intrusive Appliance Load Monitoring in Smart Home. In Proc. of 2020 IEEE International Conference on Smart Internet of Things (IEEE SmartIoT 2020), Beijing, China, August 14-16, 2020.
  • Abdulwahab Aljubairy, Wei Emma Zhang, Quan Z. Sheng and Ahoud Alhazmi. SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things. In Proc. of the 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020), Grenoble, France, June 8-12, 2020.
  • Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng and Abdulwahab Aljubairy. Are Modern Deep Learning Models for Sentiment Analysis Brittle? An Examination on Part-of-Speech. In Proc. of the 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, July 19-24 2020.
  • Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng and Abdulwahab Aljubairy. Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach. In Proc. of the 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, July 19-24 2020.
  • Dai Hoang Tran, Abdulwahab Aljubairy, Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Nguyen H. Tran and Khoa L.D. Nguyen. HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems. In Proc. of the 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, July 19-24 2020.
  • Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Wei Emma Zhang. Trust Computational Heuristic for Social Internet of Things: A Machine Learning-based Approach. In Proc. of the 54th IEEE International Conference on Communications (ICC 2020), Dublin, Ireland, June 7-11 2020.
  • Sarah Ali Siddiqui, Adnan Mahmood, Wei Emma Zhang, Quan Z. Sheng. Machine Learning based Trust Model for Misbehaviour Detection in Internet-of-Vehicles. In Proc. of the 26th International Conference on Neural Information Processing (ICONIP 2019), Sydney, Australia, December 12-15 2019.
  • Zawar Hussain, Quan Z. Sheng, Subhash Sagar, Wei Emma Zhang. A cost-effective and non-invasive system for sleep and vital signs monitoring using passive RFID tags. In Proc. of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2019), Houston, USA, November 12-14 2019.
  • Sarah Ali Siddiqui, Adnan Mahmood, Wei Emma Zhang, Quan Z. Sheng. A Machine Learning based Hybrid Trust Management Heuristic for Vehicular Ad hoc Networks. In Proc. of the 25th Annual International Conference on Mobile Computing and Networking (MobiCom 2019), Los Cabos, Mexico, October 21-25.
  • Yanjun Shu, Wei Emma Zhang, Yanxin Liu, Chunpei Wang, Jian Dong, Zhan Zhang, Dongxi Wen, Decheng Zuo. Bottom-Up Teaching Reformation for the Undergraduate Course of Computer Organization and Architecture. The 5th International Conference of Pioneering Computer Scientists, Engineers and Educators (ICPCSEE 2019). Guilin, China, September 20-23 2019.
  • Salma Abdalla Hamad, Wei Emma Zhang, Quan Z. Sheng and Surya Nepal. IoT Device Identification via Network-Flow Based Fingerprinting and Learning. In Proc. of the 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2019), Rotorua, New Zealand, August 5-8 2019.
  • Zhizhong Liu, Quan Z. Sheng, Wei Emma Zhang, Dianhui Chu and Xiaofei Xu. Context-aware Multi-QoS Prediction for Services in Mobile Edge Computing. In Proc. of the 2018 IEEE International Conference on Services Computing (SCC 2019), Milan, Italy, July 8-13 2019.
  • Vanh Khuyen Nguyen, Wei Emma Zhang, Khoa Le, Adnan Mahmood, and Quan Z. Sheng. An End-to-End Real-Time Efficient System for Smart Energy Monitoring. In Proc. of the 2019 IEEE International Conference on Computer Communications (INFOCOM 2019), Paris, France, April 29-May 2 2019 (Demo).
  • Adnan Mahmood, Bernard Butler, Wei Emma Zhang, Quan Z. Sheng and Sarah Ali Siddiqui. A Hybrid Trust Management Heuristic for VANETs. In Proc. of 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom 2019 Workshops), Kyoto, Japan, March 11-15 2019.
  • Adnan Mahmood, Wei Emma Zhang, and Quan Z. Sheng. Overcoming the Bottlenecks in Next-Generation Heterogeneous Vehicular Networks - Is SDN the Optimal Solution?. In Proc. of the 17th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2019). Sydney, Australia, January 29-31 2019.
  • Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang, Khoa L.D. Nguyen, Nguyen H. Tran, Quan Z. Sheng. Deep Autoencoder for Recommender Systems: Parameter Influence Analysis. In Proc. of the 29th Australasian Conference on Information Systems (ACIS 2018). Sydney, Australia, December 3-5 2018.
  • Vanh Khuyen Nguyen, Wei Emma Zhang, Quan Z. Sheng. Identifying Price Index Classes for Electricity Consumers via Dynamic Gradient Boosting. In Proc. of the 19th International Conference on Web Information Systems Engineering (WISE 2018). Dubai, United Arab Emirates., November 12-15 2018.
  • Wei Emma Zhang, Michael Sheng, Zhejun Tang and Wenjie Ruan. Related or Duplicate: Distinguishing Similar CQA Questions via Convolutional Neural Networks. In Proc. of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018). Short paper. Ann Arbor Michigan, U.S.A, July 8-12 2018.


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