Wenzhong Li

[Teaching] [Research] [Projects] [People] [Service] [Publications] [Links] [Others]

Teaching

Spring 2024: Computer Networks
Fall 2017-2023: Guidance to Distributed Computing Research (For Graduate Students)
Spring 2014-2023: Computer Networks
Fall 2009: COMP 22035 Computer Algorithms Design and Analysis

Research Interests and Topics

AI-Empowered Networking Systems and Applications
Edge Computing
Big Data Processing and Mining

Social Networks Analysis

AI-Empowered Networking Systems and Applications

Graph Computing for Large-Scale Social Network

Deep Learning for Mining Streaming Big Data

Large Model Structure Optimization and Cooperative Inference

Emotion-sensing AI: Emotion Detection with Smartphone Sensing

Learning-based Wireless Network Optimization

Dynamic Barcode for Visual Light Communication

Please refer to our AINet Group, Sino-German Institute of Social Computing, and MobileCloud homepage for more details of our research and refer to DISLAB for more information of our group.

Projects

Research Projects (as Principle Investigator)
- 2020.1-2023.12, "Research on Deep Learning-based Resource Scheduling Optimization in Heterogeneous Wireless Networks", sponsored by the National Natural Science Foundation of China (No. 61972196)
  Heterogeneous wireless networks support diverse mobile terminals using multiple network access techniques to form a rich of applications such as crowdsensing, healthcare, and environmental monitoring. One of the most important research questions in heterogeneous wireless networks is to combine artificial intelligence technology with wireless environment to achieve intelligent resource scheduling. Targeting to improve Quality of Service (QoS) and Quality of Experience (QoE), this project focuses on the key technology of deep learning-based resource scheduling optimization in heterogeneous wireless networks. First, based on graph sampling theory and deep learning prediction model, we propose an efficient network measurement mechanism. Then, based on the theories of stochastic optimization, deep reinforcement learning, multi-task deep learning, and asynchronous model training and update, we establish multi-level resource scheduling optimization framework, which makes optimized scheduling decisions from the perspectives of network configuration, data distribution, and resource coordination between mobile terminals and cloud. Finally, we combine the above techniques to form a comprehensive deep learning-based resource scheduling system for heterogeneous wireless networks and evaluate its performance based on a real-deployed testbed. The result of our research can be applied to a wide range of scenarios such as network protocol optimization, distributed data distribution, edge computing, mobile big data processing and analysis.
- 2017.1-2020.12, "Research on Cooperative Resource Offloading for Mobile Cloud Computing", sponsored by the National Natural Science Foundation of China (No. 61672278)
  Nowadays, mobile devices such as smartphones and tablets are quickly becoming the prominent computing and communication platform, which allows billions of people to interact with each other and access to diverse resources and information through wireless networks efficiently and ubiquitously. The convergence of mobile computing and cloud computing forms the Mobile Cloud Computing (MCC) paradigm, which provides a uniform platform for resource-limited mobile devices to access a pool of virtualized resources, and enables a range of new computation-intensive and content-centric applications such as healthcare, online video gaming, and crowd sensing. This project focuses on the key mechanisms of cooperative resource offloading for mobile cloud computing in order to reduce energy consumption and system overhead. First, we propose efficient dynamic context measurement and application partition methods, which forms the context information model and data flow graph model for mobile applications. Then based on the derived models, we study the key techniques of resource offloading, which includes multi-level cooperation for resource sharing and multi-objective optimization for resource offloading decision. Finally, we combine the above techniques to form a comprehensive resource offloading system for mobile cloud and evaluate its performance using smartphones. The result of our research can be applied to a wide range of scenarios such as mobile device augmentation, distributed content distribution, massive storage, mobile big data processing and analysis.
- 2018.7-2020.6, "Adaptive System Run-time Environment Sensing based on Deep Learning", sponsored by the science and technology project from State Grid Corporation of China (Contract No. SGSNXT00YJJS1800031)
- 2014.1-2017.12, "Research on Opportunistic Information Sharing in Mobile Social Networks", sponsored by the National Natural Science Foundation of China (No. 61373128)
- 2010-2012, "Data Distribution Strategies in Delay Tolerant Networks", sponsored by the JiangSu Natural Science Foundation (No. BK2009100)
- 2009-2011, "Efficient Cache Management Schemes in Mobile Ad Hoc Networks", sponsored by the National Natural Science Foundation of China (No. 60803111)
Other Research Projects (as Co-Investigator) ( List )
- 2014.1-2016.12, "MobileCloud: Linking Sino-European Research Institutions in the Mobile Cloud Era", Marie Curie Actions - International Research Staff Exchange Scheme (IRSES), FP7-PEOPLE-2013-IRSES (No. 612212)
  Mobile cloud computing combines cloud and mobile computing techniques to enable pervasive resource sharing and information access for mobile users via heterogeneous portable devices. To mitigate the needs of mobile devices in computing capacity and resources, the mobile cloud computing paradigm allows the computing, data storage and mass information processing be offloaded to the cloud platform for enhancing the reliability and availability of services while minimizing the energy and computational requirements in mobile devices.
- 2009-2013, "Research on Networked Complex Software: QoS Assurance, Development Method, and Runtime Mechanism", sponsored by the National Basic Research Program of China (973, No. 2009CB320705)
- 2009-2011, "Energy Efficient Schemes for Supporting Flexible Cache Consistency in Mobile Ad Hoc Networks", sponsored by Hong Kong CityU Strategic Research Grant (#7002494)

People

PhD Students: Xiaobin Hong, Kang Xia, Yi Yang, Gong Chen, Han Zhang, Richa Hu, Xiangkai Ma, Zhiyuan Yu, Junyao Wang

Master Students: Haoran Zong, Yinke Wang, Xu Zhong, Peijie Li, Kaijie Lin, Hang Yang, Yifan Ding, Yimiao Shao, Shijian Xiao, Junjie Wang, Shaojie Wang, Yi Zhang, Boran Chu, Lekai Xing

Undergraduates: Jifeng Gao, Tongzhou Yu, Runze Li, Minghao Chen

Visiting Students: Shuai Yu (PhD Student, Piere and Marie Curie University, Paris, May 1 - Aug 31, 2015), IDRI MOUAD (Master Student, Piere and Marie Curie University, Paris, Apr 26 - Sep 30, 2015), LAMARA Aymen (Master Student, Piere and Marie Curie University, Paris, Mar 30 - Sep 30, 2015), Senyuan Tan (Master Student, Politecnico di Milano, Apr 1 - Sep 30, 2015), Hong Huang (PhD Student, University of Goettingen, Jan 9 - Apr 9, 2015), Ahlam BEN CHEIKH (PhD Student, Piere and Marie Curie University, Paris, Apr 25 - May 25, 2014)

Alumni: Yuchu Fang (PhD2024, Huawei), Mingkai Lin(PhD2024, Nanjing University), Ruichen Li (MS2024, Alibaba), Guohao Li (MS2024, Huawei), Chuanze Zhu (MS2024, civil servant), Ding Li (PhD2023, Hubei University) Qingning Lu(MS2023, Jiangsu Electricity), Yizhou Chen(MS2023, Research Institute), Yeting Xu(MS2023, Microsoft), Derun Zou(MS2023, Alibaba), Jianhui Duan (MS2022, Alibaba), Yao Zeng (MS2022, Alibaba), Zhijie Zhang (MS2022, PonyAI@Guangzhou), Xiang Li (MS2022, Shopee), Zepeng Yu (MS2021, Alibaba), Xintao Zheng (MS2021, PhD@SJTU), Pinhao Wang (MS2021, Baidu), Linming Zhang (MS2021, Huawei), Shaohua Gao (MS2020, Alibaba), Haojie Ma (MS2020, Excellent Master Thesis Nomination of NJUCS 2019, Microsoft), Wangxiang Ding (MS2020, Microsoft), Chen Wan (MS2020, Huawei), Siyi Tang (BS2020,MS@University of Southern California), Kaisheng Deng (BS2020,MS@CMU), Ming Chen (PhD2019, Assistant Professor, Nanjing University), Xiao Zhang (PhD2019, Assistant Professor, Shandong University), Han Zhang (MS2019, Excellent Master Thesis Nomination of NJUCS 2019, Microsoft), Xu Chen (MS2019, Alibaba), Songcheng Gao (MS2019, Nari), Jieming Zeng(BS2019,PhD@STONY BROOK), Yunpeng Ding (BS 2019, MS@UCLA), Shenxiao Yu (BS2019, @Hangzhou), Tong Zhan (MS2018, Excellent Master Thesis Award of NJUCS 2018, Microsoft), Jinggong Zhang (MS2018, Excellent Master Thesis Nomination of NJUCS 2018, Meituan Shanghai), Shijian Xu (BS2018, PhD@CityU HK), Ruiqi Zhang (BS2018, MS@UCSD), Henghui Li (BS2018, MS@Johns Hopkins University), Chun Hao (BS2018, MS@NYU), Chaojing Xue(MS2017, Huawei Hangzhou), Shuailong Wang (MS2017, Meituan Shanghai), Junfan Li (BS2017, Tencent, Shenzhen), Yuanxun Wang (BS2017, MS student, Peiking University), Jiyuan Liu (BS2017, MS@UCSD, USA), Jin Gang (BS2017, SkyData, Nanjing), Lingfan Yu (BS2016, PhD student, NYU, USA), Kai Zhang (BS2016, Baidu, Beijing), Qisen Wang (MS2016, Baidu, Shanghai), Yaoyu Wang (MS2016, Shanghai), Yanchao Zhao (PhD2015, Assistant Professor, Nanjing University of Aeronautics and Astronautics), Jiacheng Shang (BS2015, PhD student, Temple University, USA), Xingshen Wei (MS2013, 841 Institute), Xin Liu (MS 2013, WORKSAPPLICATIONS), Hongji Zhang (MS2013, Shandong Electric Power Company), Yu Tian (MS2012, NariTech, Nanjing), Yuefei Hu (MS2012, Zhengzhou Commodity Exchange), Zhuo Li (PhD2012, Assistant Professor@Beijing Information Science & Technology University), Xin Chen (BS2011, PhD@Penn State University, USA), Lisha Ye (Master Student, Hong Kong University of Science and Technology, Hong Kong), Tianyin Xu (MS2010, PhD@UCSD, USA), Jue Hong (PhD2010, Tencent, Shenzhen, now in Oracle), Hao Han (BS2005, PhD@College of William and Mary, USA), Jie Sun (MS2009, government employee, Beijing)

Student recruitment: We are looking for well motivated Ph.D, Master and undergraduated students who are interested in the research of wireless networking, mobile computing, big data mining, and social network analysis. Please contact us by email: lwz#nju.edu.cn.

Professional Services

2025

TPC member

2024

TPC member

2023

TPC Chair

TPC member

2022

TPC Chair

TPC member

2021

TPC member

2020

TPC member

2019

TPC member

2018

TPC member

2017

TPC member

2016

TPC member

2015

TPC member

2014

TPC member

2013

TPC member

Program Co-Chair

Registration Chair

Reviewer

2010-2012

TPC member

Guest Editor

Reviewer

Publications

Book Chapter

Wenzhong Li, Sanglu Lu, Konglin Zhu, Xiao Chen, Jan Nagler and Xiaoming Fu, Information Dissemination in Social-Featured Opportunistic Networks, Social Network Analysis: Interdisciplinary Approaches and Case Studies (editors: Xiaoming Fu, Jar-Der Luo and Margarete Boos), Chapter 13, CRC Press, Taylor & Francis Group, February 17, 2017, ISBN 9781498736640.
Konglin Zhu, Xiaoming Fu, Wenzhong Li, Sanglu Lu, and Jan Nagler, Population Growth in Online Social Networks, Social Network Analysis: Interdisciplinary Approaches and Case Studies (editors: Xiaoming Fu, Jar-Der Luo and Margarete Boos), Chapter 12, CRC Press, Taylor & Francis Group, February 17, 2017, ISBN 9781498736640.
Margarete Boos, Wenzhong Li, and Johannes Pritz, Patterns of Group Movement on a Virtual Playfield: Empirical and Simulation Approaches, Social Network Analysis: Interdisciplinary Approaches and Case Studies (editors: Xiaoming Fu, Jar-Der Luo and Margarete Boos), Chapter 8, CRC Press, Taylor & Francis Group, February 17, 2017, ISBN 9781498736640.
Wenzhong Li, Xiaoming Fu, Edward Chan, Sanglu Lu, Daoxu Chen, Golden Age: On Multi-source Software Update Propagation in Pervasive Networking Environments, Internetware: A New Software Paradigm for Internet Computing (editors: Hong Mei and Jian Lü), Chapter 17, Springer Singapore, DOI 10.1007/978-981-10-2546-4, eBook ISBN 978-98-10-2546-4, Hardcover ISBN 978-981-10-2545-7.

Journal Paper
Xiaobin Hong, Jiangyi Hu, Taishan Xu, Xiancheng Ren, Feng Wu, Xiangkai Ma, Wenzhong Li, MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification, ACM Transactions on Knowledge Discovery from Data (TKDD), (Accepted)
Yuchu Fang, Wenzhong Li, Yao Zeng, Qingning Lu, Sang-Lu Lu, Pushing to the Limit: An Attention based Dual-Prune Approach for Highly-Compacted CNN Filter Pruning, Journal of Computer Science and Technology (JCST), (Accepted)
Wenzhong Li, Xiang Li, Yeting Xu, Yi Yang, Sanglu Lu, MetaABR: A Meta-Learning Approach on Adaptative Bitrate Selection for Video Streaming, IEEE Transactions on Mobile Computing (TMC), vol. 23, no. 3, pp. 2422-2437, March 2024, doi: 10.1109/TMC.2023.3260086.
Kang Xia, Wenzhong Li, Shiwei Gan, Sanglu Lu， TS2ACT: Few-Shot Human Activity Sensing with Cross-Modal Co-Learning， Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT/Ubicomp'24), Volume 7 Issue 4, 1-22 pages.
Mingkai Lin, Lintan Sun, Rui Yang, Xusheng Liu, Yajuan Wang, Ding Li, Wenzhong Li, Sanglu Lu, Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling, Journal of Artificial Intelligence Research (JAIR), vol. 76, May 2023.
Wangxiang Ding, Wenzhong Li, Zhijie Zhang, Chen Wan, Jianhui Duan, Sanglu Lu, Time-varying Gaussian Markov Random Fields Learning for Multivariate Time Series Clustering, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 35, no. 11, Nov 2023.
Zhijie Zhang, Wenzhong Li, Wangxiang Ding, Linming Zhang, Qingning Lu, Peng Hu, Tong Gui, Sanglu Lu, STAD-GAN: Unsupervised Anomaly Detection on Multivariate Time Series with Self-Training Generative Adversarial Networks, ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 17, no. 71, pp 1�18, Feb 2023.
Jian-Hui Duan, Wenzhong Li, Xiao Zhang, Sanglu Lu, Forecasting fine-grained city-scale cellular traffic with sparse crowdsourced measurements, Computer Networks, 39(2461-2475), Volume 214, pp 1-14, Sep 4 2022.
Wenzhong Li, Shaohua Gao, Xiang Li, Yeting Xu, Sanglu Lu, TCP-NeuRoc: Neural Adaptive TCP Congestion Control with Online Changepoint Detection, IEEE Journal on Selected Areas in Communications (JSAC), 39(2461-2475), Aug 2021.
Haojie Ma, Zhijie Zhang, Wenzhong Li, Sanglu Lu, Unsupervised Human Activity Representation Learning with Multi-task Deep Clustering, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 1 (IMWUT/Ubicomp'21), Mar 2021.
Mingkai Lin, Wenzhong Li, Lynda J. Song, Cam-tu Nguyen, Xiaoliang Wang, Sanglu Lu, SAKE: Estimating Katz Centrality Based on Sampling for Large-Scale Social Networks, ACM Transactions on Knowledge Discovery from Data (TKDD), 15(4):1-21, April 2021.
Chen Wan, Wenzhong Li, Wangxiang Ding, Zhijie Zhang, Qingning Lu, Lin Qian, Ji Xu, Jixiang Lu, Rongrong Cao, Baoliu Ye, Sanglu Lu, Multi-Task Sequence Learning for Performance Prediction and KPI Mining in Database Management System, Information Sciences, 568(1-12), Aug 2021.
Wenzhong Li, Lingfan Yu, Chaojing Xue, Han Zhang, Jixiang Lu, Rongrong Cao, Sanglu Lu, Adaptive Subflow Allocation for Multipath Data Transmission in Mobile Edge Networks, Journal of Systems Architecture (JSA), Vol 116, June 2021.
Ning Chen, Siyi Quan, Sheng Zhang, Zhuzhong Qian, Yibo Jin, Jie Wu, Wenzhong Li, Sanglu Lu, Cuttlefish: Neural Configuration Adaptation for Video Analysis in Live Augmented Reality, IEEE Transactions on Parallel and Distributed Systems (TPDS), (accepted).
Ding Li, Wenzhong Li, Xiaoliang Wang, Cam-Tu Nguyen, Sanglu Lu, App trajectory recognition over encrypted internet traffic based on deep neural network, Computer Networks, 179(9), pp107372, October 2020.
Shijian Xu, Wenzhong Li, Xiao Zhang, Songcheng Gao, Tong Zhan, Sanglu Lu, Predicting and Recommending the next Smartphone Apps based on Recurrent Neural Network, CCF Transactions on Pervasive Computing and Interaction, vol 2 num 4, pp314-328, 26 October 2020. ISSN: 2524-521X, DOI: 10.1007/s42486-020-00045-z.
Xiao Zhang, Wenzhong Li, Haochao Ying, Feng Li, Siyi Tang, and Sanglu Lu, Emotion Detection in Online Social Networks: a Multi-label Learning Approach, IEEE Internet of Things Journal , 7(9), 8133-8143, Sep 2020, doi: 10.1109/JIOT.2020.3004376. (Full Text)
Wenzhong Li, Shuailong Wang, Yuedong Xu, and Sanglu Lu, Charging on the Route: An Online Pricing Gateway Congestion Control for ICNs, IEEE Transactions on Network and Service Management (TNSM) , 17(1): 239-250, Mar, 2020. (Full Text)
Ming Chen, Wenzhong Li, Lin Qian, Sanglu Lu, Daoxu Chen, Next POI Recommendation based on Location Interest Mining with Recurrent Neural Networks, Journal of Computer Science and Technology (JCST) , 35(3), pp603-616, 29 May 2020. (Full Text)
Wenzhong Li, Han Zhang, Shaohua Gao, Chaojing Xue, Xiaoliang Wang, and Sanglu Lu, SmartCC: A Reinforcement Learning Approach for Multipath TCP Congestion Control in Heterogeneous Networks, IEEE Journal on Selected Areas in Communications (JSAC), Nov 10, 2019, 37(11), 2621-2633. (Full Text)
Tong Zhan, Wenzhong Li, Xu Chen, and Sanglu Lu, MegaLight: Learning-based Color Adaptation for Barcode Stream Recognition over Screen-Camera Links, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 2 (IMWUT/Ubicomp'19), London, UK, 2019. (Full Text)
Chaojing Xue, Wenzhong Li, Lingfan Yu, Jiacheng Shang, Xu Chen, and Sanglu Lu, SERO: A Model-driven Seamless Roaming Framework for Wireless Mesh Network with Multipath TCP, IEEE Transactions on Communications, vol. 67, no. 2, pp. 1284-1296, Feb. 2019, doi: 10.1109/TCOMM.2018.2880785, (Full Text)
Hongji Zhang, Wenzhong Li, Sanglu Lu, Asynchronous side information attack from the edge: an approach to identify participants from anonymous mobility traces, CCF Transactions on Networking (CTON), Volume 2, Issue 1, pp 69-82, June 2019 (Full Text).
Tong Zhan, Wenzhong Li, Xu Chen, and Sanglu Lu. Capturing the Shifting Shapes: Enabling Efficient Screen-Camera Communication with a Pattern-based Dynamic Barcode, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 1 (IMWUT/Ubicomp'18), 25 pages. Singapore, Oct 8, 2018. (Full Text)
Yanchao Zhao, Jie Wu, Wenzhong Li, Sanglu Lu, Efficient Interference Estimation with Accuracy Control for Data-Driven Resource Allocation in Cloud-RAN. Sensors 18(9): 3000 (2018).
Xu Chen, Wenzhong Li, Sanglu Lu, Zhi Zhou, Xiaoming Fu, Efficient Resource Allocation for On-Demand Mobile-Edge Cloud Computing, IEEE Transactions on Vehicular Technology, 67(9): 8769-8780 (2018), doi: 10.1109/TVT.2018.2846232.
Xiao Zhang, Wenzhong Li, Xu Chen, and Sanglu Lu. MoodExplorer: Towards Compound Emotion Detection via Smartphone Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 4 (IMWUT/Ubicomp'18), 30 pages. https://doi.org/10.1145/3161414, Singapore, Oct 8, 2018. (Full Text)
Wenzhong Li, Xiao Chen, Sanglu Lu, Content Synchronization using Device-to-Device Communication in Smart Cities, Computer Networks, 120 (2017): 170-185, June 2017, ISSN 1389-1286, http://dx.doi.org/10.1016/j.comnet.2017.04.034. (Full Text)
Yanchao Zhao, Wenzhong Li, Jie Wu, Sanglu Lu, and Bing Chen, “Compressed RSS Measurement for Communication and Sensing in the Internet of Things,” Wireless Communications and Mobile Computing, vol. 2017, Article ID 6345316, 11 pages, 2017. doi:10.1155/2017/6345316. (Full Text)
Xu Chen, Lei Jiao, Wenzhong Li, Xiaoming Fu, Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing, IEEE/ACM Transactions on Networking (ToN), Vol 24, issue 5, Oct 26, 2016, Pages 2795 - 2808. (Full Text)
Yanchao Zhao, Wenzhong Li, Sanglu Lu, Navigation-driven handoff minimization in wireless networks, Journal of Network and Computer Applications, Volume 74, October 2016, Pages 11-20, ISSN 1084-8045, http://dx.doi.org/10.1016/j.jnca.2016.08.005. (Full Text)
Bo-Lei Zhang, Zhu-Zhong Qian, Wen-Zhong Li, Bin Tang, Sang-Lu Lu, Xiaoming Fu, Budget Allocation for Maximizing Viral Advertising in Social Networks, Journal of Computer Science and Technology, July 2016, Volume 31, Issue 4, pp 759-775. (Full Text)
Xiao Chen, Charles Shang, Britney Wong, Wenzhong Li, Suho Oh, Efficient Multicast Algorithms in Opportunistic Mobile Social Networks using Community and Social Features, Computer Networks, Vol 111, Dec 2016, P71-81, ISSN 1389-1286, http://dx.doi.org/10.1016/j.comnet.2016.07.007. (Full Text)
Ming Chen, Wenzhong Li, Xu Chen, Zhuo Li, Sanglu Lu, and Daoxu Chen, LPPS: A Distributed Cache Pushing Based K-Anonymity Location Privacy Preserving Scheme, Mobile Information Systems, vol. 2016, Article ID 7164126, 16 pages, 2016. doi:10.1155/2016/7164126. (Full Text)
Konglin Zhu, Wenzhong Li, Xiaoming Fu, Lin Zhang, Data routing strategies in opportunistic mobile social networks: taxonomy and open challenges, Computer Networks, Vol 93, issue 1, pp 183-198, Dec 24, 2015. (Full Text)
Yanchao Zhao, Jie Wu, Wenzhong Li, Sanglu Lu, Throughput Optimization in Cognitive Radio Networks Ensembling Physical Layer Measurement, Journal of Computer Science and Technology (JCST), Vol 30, Issue 6, pp 1290-1305. Nov 2015. (Full Text)
Wenzhong Li, Yanchao Zhao, Sanglu Lu, Daoxu Chen, Mechanisms and Challenges on Mobility-augmented Service Provisioning for Mobile Cloud Computing, IEEE Communications Magazine, vol 53, issue 3, pp 89-97, Mar 2015. (Full Text)
Wenzhong Li, Yuefei Hu, Xiaoming Fu, Sanglu Lu, Daoxu Chen, Cooperative Positioning and Tracking in Disruption Tolerant Networks, IEEE Transactions on Parallel and Distributed Systems, vol 26, issue 2, pp 382-391, Feb 2015. (Full Text)
Zhuo Li, Wen-zhong Li, Sang-lu Lu, Dao-xu Chen, On human mobility assisted data collection in wireless sensor networks, International Journal of Sensor Networks, 19(3/4), 141-149, Nov 2015. (Full Text)
Konglin Zhu, Wenzhong Li, Xiaoming Fu, SMART: A Social and Mobile Aware Routing Strategy for Disruption Tolerant Networks, IEEE Transactions on Vehicular Technology, 63(7): 3423-3434, Sept. 2014. (Full Text)
Konglin Zhu, Wenzhong Li, Xiaoming Fu, Rethinking Routing Information in Mobile Social Networks: Location-based or Social-based? Computer Communications, 42(1): 24-37, April 2014. (Full Text)
Zhuo Li, Wenzhong Li, Song Guo, Xin Liu, Sanglu Lu, Daoxu Chen, On Gateway Selection in Disruption Tolerant Networks, Ad hoc & Sensor Wireless Networks, 20(3-4): 223-243, 2014. (Full Text)
Konglin Zhu, Wenzhong Li, Xiaoming Fu, Jan Nagler, How Do Online Social Networks Grow? PLoS ONE 9(6): e100023. doi:10.1371/journal.pone.0100023. June 2014. (Full Text)
G. G. Md. Nawaz Ali, Edward Chan, Wenzhong Li, On scheduling data access with cooperative load balancing in vehicular ad hoc networks (VANETs), Journal of Supercomputing, 67(2): 438-468, 2014. (Full Text)
Wenzhong Li, Xiaoming Fu, Edward Chan, Sanglu Lu, Daoxu Chen, Golden age: on multi-source software update propagation in pervasive networking environments, SCIENCE CHINA Information Sciences, 56(8): 1-15, August 2013. (Full Text)
Xiao Chen, Zanxun Dai, Wenzhong Li, Hongchi Shi, Performance Guaranteed Routing Protocols for Asymmetric Sensor Networks, IEEE Transactions on Emerging Topics in Computing, vol.1, no.1, pp.111-120, June 2013. (Full Text)
G. G. Md. Nawaz Ali, Edward Chan, Wenzhong Li, Supporting Real-time Multiple Data Items Query in Multi-RSU Vehicular Ad Hoc Networks (VANETs), Journal of Systems and Software, 86(8):2127-2142, August, 2013. (Full Text)
Xiao Chen, Zanxun Dai, Wenzhong Li, Yuefei Hu, Jie Wu, Hongchi Shi, Sanglu Lu, ProHet: A Probabilistic Routing Protocol with Assured Delivery Rate in Wireless Heterogeneous Sensor Networks, IEEE Transactions on Wireless Communications, 12(4):1524-1531, April 2013. (Full Text)
Konglin Zhu, Wenzhong Li, Xiaoming Fu, Modeling population growth in online social networks, Complex Adaptive Systems Modeling (CASM), June 2013. pp 1-14. (Full Text)
Wenzhong Li, Edward Chan, Daoxu Chen, Sanglu Lu, Performance Analysis of Cache Consistency Strategies for Multi-hop Wireless Networks, Journal of Supercomputing 62(2):1065-1090, November 2012. (Full Text)
Zhuo Li, Wenzhong Li, Song Guo, Sanglu Lu, Daoxu Chen, Delay and Capacity Trade-offs in Mobile Wireless Networks with Infrastructure Support, Journal of Computer Science and Technology (JCST) 27(2):328-340, 2012. (Full Text)
Guofu Feng, Wenzhong Li, Sanglu Lu, Daoxu Chen, and Rajkumar Buyya, The optimization of replica distribution in the unstructured overlays, SCIENCE CHINA Information Sciences (CHINAF) 55(3):714-722, 2012. (pdf)
Edward Chan, Yilin Wang, Wenzhong Li, and Sanglu lu, Movement Prediction Based Cooperative Caching for Location Dependent Information Service in Mobile Ad Hoc Networks, Journal of Supercomputing 59(1):297-322, Jan 2012. (pdf)
Wenzhong Li, Edward Chan, Mounir Hamdi, Sanglu Lu, Daoxu Chen, Communication Cost Minimization in Wireless Sensor and Actor Networks for Road Surveillance, IEEE Transactions on Vehicular Technology 60(2):618-631, Feb 2011. (pdf)
Wenzhong Li, Edward Chan, Guofu Feng, Daoxu Chen, Sanglu Lu, Analysis and Performance Study for Coordinated Hierarchical Cache Placement Strategies, Computer Communications 33(15):1834-1842, Sep 2010. (pdf)
Jue Hong, Jiannong Cao, Wenzhong Li, Sanglu Lu, and Daoxu Chen, Minimum-Transmission Broadcast in Uncoordinated Duty-Cycled Wireless Ad Hoc Networks, IEEE Transactions on Vehicular Technology 59(1):307-318, Jan 2010. (pdf) (bib)
Edward Chan, Wenzhong Li, and Daoxu Chen, Energy Saving Strategies for Cooperative Cache Replacement in Mobile Ad Hoc Networks. Pervasive and Mobile Computing 5(1):77-92, 2009. (pdf) (bib)

Conference Paper
Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu, Unified Graph Neural Networks Pre-training for Multi-domain Graphs, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, USA, 25 Feb - 4 Mar 2025.
Zhiyuan Yu, Wenzhong Li, Zhangyue Yin, Xiaobin Hong, Shijian Xiao, Sanglu Lu, Unified Graph Neural Networks Pre-training for Multi-domain Graphs, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, USA, 25 Feb - 4 Mar 2025.
Mingkai Lin, Wenzhong Li, Xiaobin Hong, Sanglu Lu, Scalable Multi-Source Pre-training for Graph Neural Networks, the 32th ACM International Conference on Multimedia Proceedings (ACM MM 2024), Melbourne, Australia, 28 Oct-1 Nov 2024.
Kang Xia, Wenzhong Li, Yimiao Shao, Sanglu Lu, Vi2ACT:Video-enhanced Cross-modal Co-learning with Representation Conditional Discriminator for Few-shot Human Activity Recognition, the 32th ACM International Conference on Multimedia Proceedings (ACM MM 2024), Melbourne, Australia, 28 Oct - 1 Nov 2024.
Xiangkai Ma, Xiaobin Hong, Sanglu Lu, Wenzhong Li, TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis, IEEE International Conference on Data Engineering (ICDE 2024), Utrecht, Netherlands, May 13-17, 2024.
Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu, Label Attentive Distillation for GNN-based Graph Classification, Thirty-Eight AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, Feb 20-27, 2024.
Jian-hui Duan, Wenzhong Li, Derun Zou, Ruichen Li, Sanglu Lu, Federated Learning with Data-Agnostic Distribution Fusion, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, Jun 18-22, 2023.
Yi Yang, Xiang Li, Yeting Xu, Wenzhong Li, Jiangyi Hu, Taishan Xu, Xiancheng Ren and Sanglu Lu, MetaLive: Meta-Reinforcement Learning Based Collective Bitrate Adaptation for Multi-Party Live Streaming, 29th International European Conference on Parallel and Distributed Computing (EURO-PAR 2023), LIMASSOL, CYPRUS, Aug 28� Sep 1, 2023.
Shaojie Wang, Yinke Wang, Wenzhong Li, Time Series Anomaly Detection with a Transformer Residual Autoencoder-Decoder, International Conference on Neural Information Processing (ICONIP2023), Changsha, China, November 20-23, 2023.
Junyao Wang, Jiangyi Hu, Taishan Xu, Xiancheng Ren, Wenzhong Li, Time Series Classification based on Data-Augmented Contrastive Learning， Annual Conference on Distributed and Parallel Computing Systems (DPCS-CCF SYS 2023), Nanchang, China, Aug 3-5, 2023.
Yinke Wang, Xu Zhong, Yimiao Shao, Jiangyi Hu, Taishan Xu, Yanhong Bao, Wenzhong Li, Multi-Scale Time Series Ensemble Learning for Information System Anomaly Detection, IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2023), Portsmouth, UK, Aug. 28-31, 2023.
Ding Li, Wenzhong Li, Yizhou Chen, Xu Zhong, Mingkai Lin, and Sanglu Lu, Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy, The 16th International Conference on Knowledge Science, Engineering and Management (KSEM 2023), Guangzhou, China, Aug 16-18, 2023. (Best Paper Runner Up)
Yeting Xu, Xiang Li, Yi Yang, Zhenjie Lin, Liming Wang, Wenzhong Li, FedABR: A Personalized Federated Reinforcement Learning Approach for Adaptive Video Streaming, International Federation for Information Processing Networking Conference (IFIP Networking 2023), Barcelona, Spain, Jun 12-15, 2023.
Yuchu Fang, Wenzhong Li, Yao Zeng, Yang Zheng, Zheng Hu, Sanglu Lu, PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), Washington, US, Feb 7-14, 2023.
Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu, Multi-Domain Generalized Graph Meta Learning, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), Washington, US, Feb 7-14, 2023.
Qingning Lu, Wenzhong Li, Chuanze Zhu, Yizhou Chen, Yinke Wang, Zhijie Zhang, Linshan Shen, Sanglu Lu, Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders, in 14th Asian Conference on Machine Learning (ACML 2022), Hyderabad, India, December 12-14, 2022.
Derun Zou, Xusheng Liu, Lintan Sun, Jianhui Duan, Ruichen Li, Yeting Xu, Wenzhong Li, Sanglu Lu, FedMC: Federated Reinforcement Learning on the Edge with Meta-Critic Networks, IEEE International Performance, Computing, and Communications Conference (IPCCC'22), Austin, Texas, USA, November 11�13, 2022.
Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Sanglu Lu, Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling, The ACM Web Conference Proceedings (WWW 2022), Online, hosted by Lyon, France 25-29 April 2022.
Yao Zeng, Xusheng Liu, Lintan Sun, Wenzhong Li, Yuchu Fang, Qingning Lu, Sanglu Lu, Iterative Deep Model Compression and Acceleration in the Frequency Domain, in 13th Asian Conference on Machine Learning (ACML 2021), virtual conference, November 17-19, 2021.
Jian-Hui Duan, Wenzhong Li, Sanglu Lu, FedDNA: Federated Learning with Decoupled Normalization-Layer Aggregation for Non-IID Data, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021), Bilbao, Spain, Sep 13-17, 2021.
Linming Zhang, Wenzhong Li, Zhijie Zhang, Qingning Lu, Ce Hou, Peng Hu, Tong Gui, Sanglu Lu, LogAttn: Unsupervised Log Anomaly Detection with an AutoEncoder based Attention Mechanism, in 14th International Conference of Knowledge Science, Engineering and Management (KSEM 2021), Tokyo, Japan, August 14-16, 2021.
Ding Li, Wenzhong Li, Yizhou Chen, Mingkai Lin, Sanglu Lu, Learning-based Dynamic Graph Stream Sketch, the 25 th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021), Delhi, India, May 11-14, 2021.
Songcheng Gao, Wenzhong Li, Lynda J. Song, Xiao Zhang, Mingkai Lin, Sanglu Lu, PersonalitySensing: A Multi-View Multi-Task Learning Approach for Personality Detection based on Smartphone Usage, the 28th ACM International Conference on Multimedia Proceedings (ACM MM 2020), Seattle, United States, 12-16 October 2020.
Yuchu Fang, Wenzhong Li, Yao Zeng, Sanglu Lu, FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression, in 12th Asian Conference on Machine Learning (ACML 2020), Bangkok, Thailand, November 18-20 2020.
Pinhao Wang, Wenzhong Li, Zepeng Yu, Baoguo Lu, Sanglu Lu, Website Recommendation with Side Information Aided Variational Autoencoder, in 39th IEEE International Performance Computing and Communications Conference (IPCCC 2020), Austin, Texas, USA, November 6-8, 2020.
Zepeng Yu, Wenzhong Li, Pinhao Wang, Sanglu Lu, SEM: APP Usage Prediction with Session-based Embedding, in the 15th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2020), Qingdao, China, Sep 13-15, 2020.
Mingkai Lin, Wenzhong Li, Sanglu Lu, Balanced Influence Maximization in Attributed Social Network Based on Sampling, The 13th ACM International Conference on Web Search and Data Mining (WSDM 2020), 375-383, Houston, Texas, USA, February 3-7, 2020.
Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu, Inferring Mood Instability via Smartphone Sensing: a Multi-View Learning Approach, in 27th ACM International Conference on Multimedia (ACM MM 2019), 1401-1409, Nice, France, 21 - 25 October 2019.
Mingkai Lin, Wenzhong Li, Cam-tu Nguyen, Xiaoliang Wang, Sanglu Lu, Sampling based Katz Centrality Estimation for Large-Scale Social Networks, 19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2019), Melbourne, Australia, Dec 9-11, 2019.
Haojie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu, AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition, in the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 10-16, 2019.
Han Zhang, Wenzhong Li, Shaohua Gao, Xiaoliang Wang, Baoliu Ye, ReLeS: A Neural Adaptive Multipath Scheduler based on Deep Reinforcement Learning, in IEEE Conference on Computer Communications (INFOCOM 2019), Paris, France, April 29-May 2, 2019.
Ming Chen, Wenzhong Li, Sanglu Lu, Daoxu Chen, Location-Interest-Aware Community Detection for Mobile Social Networks Based on Auto Encoder, in 12th International Conference of Knowledge Science, Engineering and Management (KSEM 2019), Athens, Greece, August 28-30, 2019, 176-184.
Ding Li, Wenzhong Li, Xiaoliang Wang, Cam-Tu Nguyen, Sanglu Lu, ActiveTracker: Uncovering the Trajectory of App Activities over Encrypted Internet Traffic Streams, in IEEE International Conference on Sensing, Communication and Networking (SECON 2019), Boston, Massachusetts, USA, 10-13 June 2019.
Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu, Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning, in the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, July 13-19, 2018.
Haonan Qiu, Xiaoliang Wang, Tianchen Jing, Zhuzhong Qian, Baoliu Ye, Bin Tang, Wenzhong Li, Sanglu Lu, Toward Effective and Fair RDMA Resource Sharing, The Second Asia-Pacific Workshop on Networking (APNet 2018), Beijing, China, Aug 2-3, 2018. (Best paper award)
Xu Chen, Wenzhong Li, Tong Zhan, Sanglu Lu, MMCode: Enhancing Color Channels for Screen-Camera Communication with Semi-Supervised Clustering, in the 27th International Conference on Computer Communications and Networks (ICCCN 2018), Hangzhou, China, July 30 -August 2, 2018.
Ming Chen, Wenzhong Li, Lin Qian, Sanglu Lu, Daoxu Chen, Interest-aware next POI Recommendation for Mobile Social Networks, in the 13th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2018), Tianjin, China, June 20-22, 2018.
Shijian Xu, Wenzhong Li, Xiao Zhang, Songcheng Gao, Tong Zhan, Yongzhu Zhao, Wei-wei Zhu, Tianzi Sun, Predicting Smartphone App Usage with Recurrent Neural Networks, in the 13th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2018), Tianjin, China, June 20-22, 2018.
Fan Yan, Yunpeng Ding, Wenzhong Li, Mining Mobile Users’ Interests through Cellular Network Browsing Profiles (short paper), in the 13th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2018), Tianjin, China, June 20-22, 2018.
Xiaoliang Wang, Cam-Tu Nguyen, Baoliu Ye, Zhuzhong Qian, Wenzhong Li, Sanglu Lu,Toward Fine-grained Load Balancing through RNIC EC Offloading, IEEE International Conference on High Performance Switching and Routing (HPSR 2018), Bucharest, Romania, June 17-20, 2018.
Songcheng Gao, Wenzhong Li, Xiao Zhang, Tong Zhan, Sanglu Lu, Predicting Students’ Academic Performance based on Their Smartphone APP Usage: A Machine Learning Approach (Extended Abstract), in the 5th Frontiers of Business Research in China Annual Conference (FBR 2018), Beijing, China, June 10-12, 2018.
Wenzhong Li, Jinggong Zhang, Yanchao Zhao, Conflict Graph Embedding for Wireless Network Optimization, in IEEE Conference on Computer Communications (INFOCOM 2017), Atlanta, GA, USA, 1-4 May 2017.
Xiao Zhang, Wenzhong Li, Hong Huang, Cam-Tu Nguyen, Xu Chen, Xiaoliang Wang, Sanglu Lu, Predicing Happiness State Based on Emotion Representative Mining in Online Social Networks, in The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), Jeju, South Korea, May 23-26, 2017.
Xiao Zhang, Wenzhong Li, Sanglu Lu, Emotion detection in online social network based on multi-label learning, in the 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017), Suzhou, China, March 27-30, 2017.
Xiao Chen, Wenzhong Li, Content Synchronization with Feedback in Smart City Device-to-Device Communication, in the IEEE Wireless Communications and Networking Conference (WCNC 2017), San Francisco, CA, USA, 19-22 March 2017.
Yaoyu Wang, Wenzhong Li, Sanglu Lu, The Capability of Error Correction for Burst-noise Channels Using Error Estimating Code, in IEEE International Conference on Sensing, Communication and Networking (SECON 2016), London, UK, 27-30 Jun, 2016.
Qisen Wang, Wenzhong Li, Xiao Zhang, Sanglu Lu, Academic Paper Recommendation Based on Community Detection in Citation-Collaboration Networks, The 18th Asia Pacific Web Conference (APWeb 2016), Sep 23-23, Suzhou, China, 2016.
Senyuan Tan, Xiaoliang Wang, Guido Maier, Wenzhong Li, Riding Quality Evaluation Through Mobile CrowdSensing, in IEEE International Conference on Pervasive Computing and Communications (PerCom 2016), Sydney, Australia, Mar 14-18, 2016.
Shuai Yu, Rami Langar, Wenzhong Li, Xu Chen, Coalition-based Energy Efficient Offloading Strategy for Immersive Collaborative Applications in Femto-Cloud, IEEE International Conference on Communications (ICC 2016), Kuala Lumpur, Malaysia, 23-27 May 2016.
Yanchao Zhao, Wenzhong Li, Jie Wu, Sanglu Lu, Efficient RSS Measurement in Wireless Networks based on Compressive Sensing, in 34rd IEEE International Performance Computing and Communications Conference (IPCCC 2015), Nanjing, China, Dec 14-16, 2015.
Yanchao Zhao, Wenzhong Li, Jie Wu, Sanglu Lu, Quantized Conflict Graphs for Wireless Network Optimization, in IEEE Conference on Computer Communications (INFOCOM 2015), Hong Kong, Apr 26-30, 2015.
Charles Shang, Britney Wong, Xiao Chen, Wenzhong Li, Suho Oh, Community and Social Feature-Based Multicast in Opportunistic Mobile Social Networks, 24th International Conference on Computer Communication and Networks (ICCCN 2015), Las Vegas, NV, USA, August 3-6, 2015.
Jiacheng Shang, Lingfan Yu, Chaojing Xue, Wenzhong Li, Optimizing AP Association in Wireless Mesh Network with Multipath TCP, in 21st IEEE International Workshop on Local and Metropolitan Area Networks (LANMAN 2015), Beijing, China, Apr 22-24, 2015.
Bolei Zhang, Zhuzhong Qian, Wenzhong Li, Sanglu Lu，Pricing Strategies for Maximizing Viral Advertising in Social Networks, The 20th International Conference on Database Systems for Advanced Applications (DASFAA'15), Hanoi, Vietnam, April 20-23, 2015.
Konglin Zhu, Wenzhong Li, Xiaoming Fu, Lin Zhang, VIRO: A Virtual Routing Method for Eliminating Dead End in Opportunistic Mobile Social Network, in IEEE International Conference on Communications (ICC 2015), London, UK, Jun 8-12, 2015.
Hong Huang, Xu Chen, Wenzhong Li, Xiaoming Fu, Measuring and Analysing Happiness in Online Social Networks, ACM Conference on Online Social Networks (COSN 2014), Poster Session, Dublin, Ireland, Oct. 1-2, 2014.
Ming Chen, Wenzhong Li, Zhuo Li, Sanglu Lu, Daoxu Chen, Preserving Location Privacy based on Distributed Cache Pushing, the IEEE Wireless Communications and Networking Conference (WCNC 2014), Istanbul, Turkey, Apr 6-9, 2014.
Xingshen Wei, Wenzhong Li, Xiaoliang Wang, Sanglu Lu, Xiaoming Fu, Recovering Erroneous Data Bits Using Error Estimating Code, The Eighteenth IEEE Symposium on Computers and Communications (ISCC 2013), Split, Croatia, July 7-10, 2013.
G. G. Md. Nawaz Ali, Edward Chan, Wenzhong Li, On Scheduling Real-time Multi-item Queries in Multi-RSU Vehicular Ad Hoc Networks (VANETs), The 27th IEEE International Conference on Advanced Information Networking and Applications - Workshop: The Sixth International Workshop on Data Management for Wireless and Pervasive Communications (DMWPC-2013), Barcelona, Spain, March 25-28, 2013.
Guofu Feng, Saurabh Garg, Rajkumar Buyya and Wenzhong Li, Revenue Maximization Using Adaptive Resource Provisioning in Cloud Computing Environments, ACM/IEEE 13th International Conference on Grid Computing (Grid 2012), Beijing, pp. 192-200, 2012.
Xin Liu, Wenzhong Li, Xiaoliang Wang, Zhuo Li, Sanglu Lu and Daoxu Chen, Exploring Social Properties in Vehicular Ad Hoc Networks, the fourth Asia-Pacific symposium on Internetware (Internetware 2012), Qingdao, China, October 30-31, 2012.
Xiao Chen, Zanxun Dai, Wenzhong Li, Hongchi Shi, A Layer-Based Routing Protocol for Heterogeneous Wireless Sensor Networks, IEEE International Conference on Communications (ICC 2012), Ottawa, Canada, June 10-15, 2012.
Zhuo Li, Song Guo, Wenzhong Li, Sanglu Lu, Daoxu Chen, Victor C.M. Leung, A particle swarm optimization algorithm for resource allocation in femtocell networks, In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC 2012), Paris, France, April 1-4, 2012.
Zhuo Li, Wenzhong Li, Song Guo, Sanglu Lu, and Daoxu Chen, Gateway Selection in Disruption Tolerant Networks using Heuristic Methods, The Third Asia-Pacific Symposium on Internetware (Internetware 2011), Nanning, Guangxi, China, December 1-2, 2011.
Yu Tian, Wenzhong Li, Zhuo Li, Sanglu Lu, Xiaoming Fu, Low Overhead Dynamic Spectrum Reallocation in Opportunistic Spectrum Access Networks, the 20th International Conference on Computer Communications and Networks (ICCCN 2011), Maui, Hawaii, USA, July 31 - August 4, 2011.
Konglin Zhu, Pan Hui, Yang Chen, Xiaoming Fu, and Wenzhong Li, Exploring User Social Behaviors in Mobile Social Applications, the fourth workshop on Social Network Systems (SNS 2011), Salzburg, Austria, April 10-13, 2011.
G. G. Md. Nawaz Ali, Edward Chan, Wenzhong Li, Two-Step Joint Scheduling Scheme for Road Side Units (RSUs)-Based Vehicular Ad Hoc Networks (VANETs). DASFAA Workshops 2011, Hong Kong, pp 453-464, April 22-25, 2011.
Guofu Feng, Wenzhong Li, Sanglu Lu, Daoxu Chen, The Optimal Replica Distribution to Minimize the Search Size in the Unstructured Overlay, IEEE 12th International Conference on High Performance Computing and Communications (HPCC2010), Melbourne, Australia, pp.591-596, Sep 1-3, 2010.
Yuefei Hu, Wenzhong Li, Xiao Chen, Xin Chen, Sanglu Lu, Jie Wu, A Probabilistic Routing Protocol for Heterogeneous Sensor Networks, The 5th IEEE International Conference on Networking, Architecture, and Storage (NAS 2010), Macau SAR, China, July 15-17, 2010, 19-27.
Tianyin Xu, Baoliu Ye, Qinhui Wang, Wenzhong Li, Sanglu Lu, Xiaoming Fu, APEX: A Personalization Framework to Improve Quality of Experience for DVD-like Functions in P2P VoD Applications, the 18th International Workshop on Quality of Service (IWQoS 2010), Beijing, China, Jun 16-18, 2010. Acceptance Rate: 24.8% (33 out of 133).
Yanchao Zhao, Wenzhong Li, Jue Hong, Zhuo Li, Sanglu Lu, Daoxu Chen, On Handoff Minimization in Wireless Networks: From a Navigation Perspective, In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC2010), Sydney, Australia, April 18-21, 2010.
Tianyin Xu, Weiwei Wang, Baoliu Ye, Wenzhong Li, Sanglu Lu, Yang Gao, Prediction-based Prefetching to Support VCR-like Operations in Gossip-based P2P VoD Systems, In Proceedings of the 15th International Conference on Parallel and Distributed Systems (ICPADS 2009), Shenzhen, China, Dec. 8-11, 2009.
Yuefei Hu, Wenzhong Li, Sanglu Lu, and Daoxu Chen, On Media Streaming Application Migration in Pervasive Environment, The First Asia-Pacific Symposium on Internetware (InternetWare 2009 demo), Beijing, China, Oct. 17-18, 2009.
Wenzhong Li, Edward Chan, Daoxu Chen, and Sanglu Lu, Maintaining Probabilistic Consistency for Frequently Offline Devices in Mobile Ad Hoc Networks, the 29th International Conference on Distributed Computing Systems (ICDCS 2009), Montreal, Quebec, Canada, June 22-26, 2009, 215-222. Acceptance Rate: 16% (74 out of 455). (pdf) (bib)
Tianyin Xu, Jianzhong Chen, Wenzhong Li, Sanglu Lu, Yang Guo, and Mounir Hamdi, Supporting VCR-like Operations in Derivative Tree-Based P2P Streaming Systems, IEEE International Conference on Communications (ICC2009), Dresden, Germany, June 14-18, 2009. (Best paper award) (pdf) (bib)
Jue Hong, Jiannong Cao, Wenzhong Li, Sanglu Lu, and Daoxu Chen, Sleeping Schedule-Aware Minimum Latency Broadcast in Wireless Ad hoc Networks, IEEE International Conference on Communications (ICC2009), Dresden, Germany, June 14-18, 2009.
Chunfeng Si, Wenzhong Li, Qi Lv, Tao Yan, Sanglu Lu, and Daoxu Chen, ADOM: An Adaptive Objective Migration Strategy for Grid Platform, In Proceedings of the Seventh International Conference on Grid and Cooperative Computing (GCC2008), Shenzhen, Guangdong, China, 24-26 Oct. 2008, 429-434.
Jue Hong, Wenzhong Li, Sanglu Lu, Jiannong Cao, and Daoxu Chen, Sleeping Schedule Aware Minimum Transmission Broadcast in Wireless Ad Hoc Networks, In Proceedings of the 14th International Conference on Parallel and Distributed Systems (ICPADS2008), Melbourne, Victoria, AUSTRALIA, 2008, 399-406.
Yilin Wang, Edward Chan, Wenzhong Li and Sanglu Lu, Location Dependent Cooperative Caching in MANET, In Proceedings of International Conference on Parallel Processing (ICPP2008), Portland, Oregon, USA, 2008: 470-477.
Wenzhong Li, Edward Chan, Yilin Wang, Daoxu Chen, and Sanglu Lu, Cache Placement Optimization in Hierarchical Networks: Analysis and Performance Evaluation, In Proceedings of the 7th International Conference on Networking (IFIP Networking2008), Singapore, 2008: 385-396. Acceptance Rate: 26.9% (67 out of 249).
Yilin Wang, Edward Chan, Wenzhong Li and Sanglu Lu, Caching Invalidation Strategies for Supporting Weak Location Dependent Queries, In Workshop of the 28th International Conference on Distributed Computing Systems (ICDCSW2008), Beijing, China, 2008: 459-464.
Wenzhong Li, Yilin Wang, Chunhong Li, Sanglu Lu and Daoxu Chen. A QoS-Aware Service Selection Algorithm for Multimedia Service Overlay Networks. In Proceedings of the 13th International Conference on Parallel and Distributed Systems (ICPADS 2007), TaiWan, China, 2007.
Wenzhong Li, Edward Chan, Yilin Wang and Daoxu Chen, Cache Invalidation Strategies for Mobile Ad Hoc Networks, In Proceedings of International Conference on Parallel Processing (ICPP2007), XiAn, China, 2007, 57-65. Acceptance Rate: 26.7% (77 out of 288).
Yilin Wang, Wenzhong Li, Jianzhong Chen, Sanglu Lu, Fang Wang and Daoxu Chen. RSB-Topo: A Topology Adaptation Algorithm for Unstructured P2P Networks. In Workshop of International Conference on Parallel Processing (ICPPW2007), XiAn, China, 2007, 73-79.
Wenzhong Li, Edward Chan, and Daoxu Chen. Energy-efficient Cache Replacement Policies for Cooperative Caching in Mobile Ad Hoc Network. In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC2007), pp.3347 - 3352. March 2007. Hong Kong, China. (EI: Accession number: 074810946044)
Chunhong Li, Guofu Feng, Wenzhong Li, Tiecheng Gu, Sanglu Lu, and Daoxu Chen, A Resource-Adaptive Transcoding Proxy Caching Strategy, In Proceedings of the 8th Asia Pacific Web Conference(APWeb2006), 2006, 556-567 (EI: Accession number: 06279982133; SCI-E IDS Number: BDV60)
Wenzhong Li, Kun Wu, Xu Ping, Ye Tao, Sanglu Lu, and Daoxu Chen, Coordinated Placement and Replacement for Grid-based Hierarchical Web Caches, In Proceedings of the 4th International Conference on Grid and Cooperative Computing (GCC2005), Beijing, China, 2005, 430-435 (EI: Accession number: 06229908907; SCI-E: IDS Number: BDQ17)

Journal Paper in Chinese
方毓楚, 李文中, 曾曜, 郑阳, 胡�, 陆桑璐, 面向边缘部署场景的轻量神经网络修复算法, 计算机学报, 2024, 47(6):1413-1430. DOI:10.11897/SP.J.1016.2024.01413.
WANG Qin-hui, YE Bao-liu, TIAN Yu, LI Wen-zhong, LU Sang-lu, CHEN Dao-xu, Survey on Spectrum Allocation Algorithms for Cognitive Radio Networks, Acta Electronica Sinica, Vol. 40, No 1, pp 147-154, Jan 2012.
FENG Guo-Fu, LI Wen-Zhong, ZHANG Jin-Cheng, LU Sang-Lu, CHEN Dao-Xu, Replica Distribution for Search Size Minimization in Unstructured Overlay, Chinese Journal of Computers, Vol. 34, No 4, pp 628-635, April 2011.
LI Wen-Zhong, CHEN Dao-Xu， LU Sang-Lu, Graph-based Optimal Cache Deployment Algorithm for Distributed Caching Systems (in Chinese), Journal of Software, 2010, 21(7):1524-1535.
CHEN Jian-Zhong, XU Tian-Yin, LI Wen-Zhong, LU Sang-Lu, CHEN Dao-Xu, Edward CHAN, P2P Interactive Streaming System Based on Derivative Tree (in Chinese), Journal of Software, 2010, 21(5):1138-1152.
Li Wen-Zhong, Guo Sheng, Xu Ping, Lu Sang-Lu, Chen Dao-Xu, An Adaptive Load Balancing Algorithm for Service Composition, (in Chinese) Journal of Software, 2006,17(5):1068-1077
LI Chun-hong, FENG Guo-fu, LI Wen-zhong, GU Tie-cheng, LU Sang-lu, CHEN Dao-xu, A Resource-Adaptive Transcoding Proxy Caching Mechanism (in Chinese), Acta Electronica Sinica, 2006, 34(8), 1526-1529
Li Wen-Zhong, Zhou Jun, Gu Tie-Cheng, Lu Sang-Lu, Chen Dao-Xu, Information Service System for Globus-Based Streaming media Grids, (in Chinese) Journal of Mini-Micro Systems, 2005,26(12): 2074-2077
Li Wen-Zhong, Gu Tie-Cheng, Zhou Jun, Lu Sang-Lu, Chen Dao-Xu, Research on Adaptive Web Caching, (in Chinese) Journal of Computer Science, 2005, 32(4):11-15
Li Wen-Zhong, Gu Tie-Cheng, Li Chun-Hong, Lu Sang-Lu and Chen Dao-Xu, GCaching--A Grid-Based Cooperative Caching System, (in Chinese) Journal of Computer Research and Development, 2004,41(12), 2211-2217

DBLP: Wenzhong Li

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Wenzhong Li

Please refer to our AINet Group, Sino-German Institute of Social Computing, and MobileCloud homepage for more details of our research and refer to DISLAB for more information of our group.

Research Projects (as Principle Investigator)

2020.1-2023.12, "Research on Deep Learning-based Resource Scheduling Optimization in Heterogeneous Wireless Networks", sponsored by the National Natural Science Foundation of China (No. 61972196)

2017.1-2020.12, "Research on Cooperative Resource Offloading for Mobile Cloud Computing", sponsored by the National Natural Science Foundation of China (No. 61672278)

2018.7-2020.6, "Adaptive System Run-time Environment Sensing based on Deep Learning", sponsored by the science and technology project from State Grid Corporation of China (Contract No. SGSNXT00YJJS1800031)

2014.1-2017.12, "Research on Opportunistic Information Sharing in Mobile Social Networks", sponsored by the National Natural Science Foundation of China (No. 61373128)

2010-2012, "Data Distribution Strategies in Delay Tolerant Networks", sponsored by the JiangSu Natural Science Foundation (No. BK2009100)

2009-2011, "Efficient Cache Management Schemes in Mobile Ad Hoc Networks", sponsored by the National Natural Science Foundation of China (No. 60803111)

Other Research Projects (as Co-Investigator) ( List )

2014.1-2016.12, "MobileCloud: Linking Sino-European Research Institutions in the Mobile Cloud Era", Marie Curie Actions - International Research Staff Exchange Scheme (IRSES), FP7-PEOPLE-2013-IRSES (No. 612212)

2009-2013, "Research on Networked Complex Software: QoS Assurance, Development Method, and Runtime Mechanism", sponsored by the National Basic Research Program of China (973, No. 2009CB320705)

2009-2011, "Energy Efficient Schemes for Supporting Flexible Cache Consistency in Mobile Ad Hoc Networks", sponsored by Hong Kong CityU Strategic Research Grant (#7002494)

2025

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2024

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2023

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2022

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2021

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2020

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2019

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2018

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2017

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2016

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2015

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2014

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2013

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2010-2012

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