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Email: wl@nju.edu.cn Navigation ä Home ä Teaching & Mentoring ä Professional Activities |
Overview of Research
Work Over the years, my research has been
generally focusing on the understanding of activities which include
modeling, sensing, recognition, and measuring of activities in different
domains, and on different levels. One of my main research topics is
understanding, modeling, and measuring the complex, collective software
development activities in open source software (OSS) projects and ecosystems
that involve thousands of developers from the globe, and over the internet.
We have developed metrics to measure the evolution of social communities in
OSS projects [FSE 2022], and to measure the diversity of OSS projects’
forks [ASE
2023]. We also study incentive approaches, such as sponsoring [CompSac 2022a],
to motivate more contributors to make active contributions. I am one of the
co-founders of the OSS Compass (https://oss-compass.org/)
community that aims at measuring the health of OSS ecosystems. Please refer
to the publications marked with the green color in this series. Another field that collective
intelligence emerges is large swarms of unmanned vehicles. In this field, our
have been working on technologies that enable the intelligent collaboration
of large swarms of UAVs to achieve complex task goals autonomously, such as
path finding, search and rescue, etc, using technologies including
reinforcement learning, and machine learning, etc. Please refer to the
publications marked with the blue color. Before I start my research on collective
intelligence of human, OSS developers, and UAVs, my research has been
focusing on the sensing and recognition of a single and multiple human
subjects’ activities in smart spaces, using wearable and ambient sensors.
Publications marked with the gray color are about this topic. Behind the physical activities, it is the
mind and emotions that drive our behaviors. Some of my research focus on the
sensing, and detection of mental activities, i.e., mental workloads,
emotions, flow states, during the learning, development and use of computer
programmers. Publications related to this topic are marked as orange.
There are also a few publications marked
by the yellow
color, which are general technologies, such as time series analysis
technologies, we developed during the research in the above domains. |
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Collective Intelligence in Open Source Software |
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ASE
2023 |
Liang Wang, Zhiwen Zheng, Xiangchen Wu, Baihui Sang, Jierui Zhang, and Xianping Tao. 2023. Fork Entropy: Assessing the Diversity of Open Source Software Projects’ Forks. In 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023). CCF-A. |
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WISE
2022 |
Jierui Zhang, Liang Wang, Zhiwen Zheng and Xianping Tao. 2022. Social Community Evolution Analysis and Visualization in Open Source Software Projects. International Conference on Web Information System Engineering (WISE), 2022. |
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FSE
2022 |
Liang Wang, Ying Li, Jierui Zhang, and Xianping Tao. QuantifyingCommunity Evolution in Developer Social Networks. InProceedings of the30th ACM Joint European Software Engineering Conference and Symposiumon the Foundations of Software Engineering (ESEC/FSE ’22), November 14-18, 2022, Singapore, Singapore. CCF-A. [Talk][中文简介][supplementary] |
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CompSac
2022a |
Yaxing Wang, Liang Wang, Hao Hu, Jing Jiang, Hongyu Kuang, and Xianping Tao. The Influence of Sponsorship on Open-Source Software Developers' Activities on GitHub. CompSac, 2022. |
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Internet
ware 2022 |
Yu Jiang, Liang Wang, Hao Hu, and Xianping Tao. Represent Code as Action Sequence for Predicting Next Method Call. Internetware 2022 (13th Asia-Pacific Symposium on Internetware), June 11-12, 2022, Hohhot, China. |
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WISA
2021 |
Huiyu Jiang, Liang Wang, Xianping Tao, and Hao Hu. RHE: Relation and Heterogeneousness Enhanced Issue Participants Recommendation. International Conference on Web Information Systems and Applications (WISA), 2021. [简介] |
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Internet
ware 2018 |
Zhiwen Zheng, Liang Wang, Jingwei Xu, Tianheng Wu, Simeng Wu, Xianping Tao. Measuring and Predicting the Relevance Ratings between FLOSS Projects using Topic Features. Internetware 2018: 12:1-12:10. |
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开源蓝皮书2023 |
开源蓝皮书
2023 |
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Collective Intelligence in UAV Swarms |
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计算机学报
2023 |
吴俊锋, 王文, 汪亮, 陶先平, 胡昊, 吴海军. 基于两阶段意图共享的多智能体强化学习方法. 计算机学报, 2023. CCF-A. |
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TVT 2022 |
Wen Wang, Liang Wang, Junfeng Wu, Xianping Tao, and Haijun Wu. Oracle-Guided Deep Reinforcement Learning for Large-Scale Multi-UAVs Flocking and Navigation. IEEE Transactions on Vehcular Technology (TVT). 2022. [简介] |
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中国科学2022 |
王文, 汪亮, 吴俊锋, 陶先平, 胡昊. 基于策略多样性熵指标的无人机群智系统激发-汇聚程度度量方法研究. 中国科学: 技术科学, 2022. [简介] |
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中国科学2020 |
Liang Wang, Wen Wang, Yuyou Wang, Songlin Hou, Yuzhe Qiao, Tianheng Wu, and Xianping Tao. Feasibility of reinforcement learning for UAV-based target searching in a simulated communication denied environment (in Chinese). SCIENTIA SINICA Informationis, 2020, 50(3): 375-395. CCF-A. |
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Mental Activities and Emotions of Programmers |
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CompSac
2023 |
Yuqian Zhuang, Liang Wang, Mingya Zhang, Shan Lin, Hao Hu, and Xianping Tao. OPTES: A Tool for Behavior-based Student Programming Progress Estimation. CompSac 2023.` |
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CompSac
2022b |
Yuqian Zhuang, Liang Wang, Zhiwen Zheng, Hao Hu, Haijun Wu, and Xianping Tao. Towards Emotion-awareness in Programming Education with Behavior-based Emotion Estimation. CompSac, 2022. [简介] |
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CompSac
2020 |
Yue Cao, Liang Wang, Zhiwen Zheng, and Xianping Tao. A Tool for Non-Intrusive and Privacy-Preserving Developers' Programming Activity Data Collection. 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2020: 953-962. |
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IEEE
Pervasive Computing 2019 |
Liang Wang, Tao Gu, Alex X. Liu, Hengzhi Yao, Xianping Tao, and Jian Lu. Assessing User Mental Workload for Smartphone Applications with Built-in Sensors. IEEE Pervasive Computing, 2019, 18(1): 59-70. |
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APSEC
2019 |
Zhiwen Zheng, Liang Wang, Yue Cao, Yuqian Zhuang, Xianping Tao. Towards Non-Invasive Recognition of Developers' Flow States with Computer Interaction Traces. APSEC 2019: 300-307. |
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MindCare
2015 |
Liang Wang, Tao Gu, Xiangyang Liu, Hengzhi Yao, Xianping Tao and Jian Lu. Automatic Assessment of User Mental Workload for Smartphone Applications. In Proc. of the 5th EAI International Symposium on Pervasive Computing Paradigms for Mental Health (MindCare 2015), Milan, Italy, September 24-25, 2015. |
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Human Activity Recognition |
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UbiComp
2018 |
Liang Wang, Wen Cheng, Lijia Pan, Tao Gu, Tianheng Wu, Xianping Tao, and Jian Lu. SpiderWalk: Circumstance-aware Transportation Activity Detection Using a Novel Contact Vibration Sensor. Ubicomp 2018, Singapore, October 9-11, 2018. CCF-A. |
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CompSac
2018 |
Tianheng Wu, Liang Wang, Zhiwen Zheng, Simeng Wu, Jun Ma, Xianping Tao, and Jian Lu. CARMUS: Towards a General Framework for Continuous Activity Recognition with Missing Values on Smartphones. The 42nd IEEE International Conference on Computers, Software & Applications (CompSac 2018), Tokyo, Janpan, June 23-27, 2018. |
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TMC
2017 |
Liang Wang, Tao Gu, Xianping Tao, and Jian Lu. Toward a Wearable RFID System for Real-time Activity Recognition Using Radio Patterns. IEEE Transactions on Mobile Computing (TMC), 2017, 16(1): 228-242. CCF-A. |
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PMC
2012 |
Liang Wang, Tao Gu, Xianping Tao, and Jian Lu. A Hierarchical Approach to Real-time Activity Recognition in Body Sensor Networks. Elsevier Journal of Pervasive and Mobile Computing (PMC), 2012, 8(1): 115-130. |
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TMC
2011 |
Tao Gu, Liang Wang, Hanhua Chen, Xianping Tao, and Jian Lu. Recognizing Multiuser Activities Using Wireless Body Sensor Networks. IEEE Transactions on Mobile Computing (TMC), 2011, 10(11): 1618-1631. (Spotlight Paper). CCF-A. |
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PMC
2011 |
Liang Wang, Tao Gu, Xianping Tao, Hanhua Chen, and Jian Lu. Recognizing Multi-user Activities using Wearable Sensors in a Smart Home. Elsevier Journal of Pervasive and Mobile Computing (PMC), Special Issue in Knowledge-Driven Activity Recognition, 2011, 7(3): 287-298. |
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TKDE
2011 |
Tao Gu, Liang Wang, Zhanqing Wu, Xianping Tao, and Jian Lu. A Pattern Mining Approach to Sensor-based Human Activity Recognition. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2011, 23(9): 1359-1372. CCF-A. |
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Mobiquit
ous 2017 |
Liang Wang, Tao Gu, Xianping Tao, Jian Lu. Direction-Aware, Audio-Based Pedestrian Relative Positioning by Swing Induced Doppler Shift. In Proc.of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2017), Melbourne, Australia, November 7-10, 2017. |
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Mobiquit ous 2016 |
Jinqi Cui, Liang Wang, Tao Gu, Xianping Tao, Jian Lu. An Audio-based Hierarchical Smoking Behavior Detection System Based on A Smart Neckband Platform. In Proc.of the 13th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2016), Hiroshima, Japan, November 28-December 1, 2016. |
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Mobiquit ous 2013 |
Liang Wang, Tao Gu, Hongwei Xie, Xianping Tao, Jian Lu, Yu Huang. A Wearable RFID System for Real-time Activity Recognition using Radio Patterns. In Proc.of the 10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2013), Tokyo, Japan, December 2-4, 2013. |
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Book
2011 |
Liang Wang, Tao Gu, Xianping Tao, Hanhua Chen, and Jian Lu. Multi-user Activity Recognition in a Smart Home. Activity Recognition in Pervasive Intelligent Environments, 59-81, 2011. |
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Mobiquit ous 2010 |
Tao Gu, Liang Wang, Hanhua Chen, Guimei Liu, Xianping Tao, and Jian Lu. Mining Emerging Sequential Patterns for Activity Recognition in Body Sensor Networks. In Proc. of the 7th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2010), Sydney, Asustralia, December 6-9, 2010. |
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RTCSA
2010 |
Liang Wang, Tao Gu, Hanhua Chen, Xianping Tao, and Jian Lu. Real-time Human Activity Recognition using a Body Sensor Network. In Proc. of the 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2010), Macau SAR, China, August 23-25, 2010. |
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AmI
2009 |
Liang Wang, Tao Gu, Xianping Tao, and Jian Lu. Sensor-based Human Activity Recognition in a Multi-user Scenario. In Proc. of the European Conference on Ambient Intelligence (AmI '09), Salzburg, Austria, Nov 18 - 21, 2009. |
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Mobiquit
ous 2009 |
Tao Gu, Zhanqing Wu, Liang Wang, Xianping Tao, and Jian Lu. Mining Emerging Patterns for Recognizing Activities of Multiple Users in Pervasive Computing. In Proc. of the 6th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous '09), Toronto, Canada, July 13 - 16, 2009. Acceptance Rate: 22.1% (19 out of 86). |
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General Technologies for Data Analysis & Mining |
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TKDE
2021 |
Liang Wang, Simeng Wu, Tianheng Wu, Xianping Tao, and Jian Lu. HKMF-T: Recover from Blackouts in Tagged Time Series with Hankel Matrix Factorization. IEEE Transactions on Knowledge and Data Engineering, 2021, 33(11): 3582-3593. CCF-A. [Code] |
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ICDE
2019 |
Simeng Wu, Liang Wang, Tianheng Wu, Xianping Tao, Jian Lu. Hankel Matrix Factorization for Tagged Time Series to Recover Missing Values During Blackouts. ICDE 2019: 1654-1657. CCF-A (short paper). |
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