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Baoliu Ye
Ph.D.,
Professor
National Key
Laboratory for Novel Software Technology
School of Computer Science
Nanjing
University, P. R. China
Tel/Fax:
+86-25-89686448
Email: yebl@nju.edu.cn
Office: Room
616, Building of Computer Science Technology, Xianlin
Campus
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Research
Interests
My
current research interests mainly include Cloud
Computing and Edge Computing, Edge
Intelligence and Distributed Machine Learning, Novel Storage Architecture. I am interested in both theoretical
algorithms and system technologies for novel distributed computing and
systems. My recent work mainly focus on the following research issues.
l Resource
Optimization for the Fusion of Could-Edge Computing
l Distributed
Machine Learning in Could-Edge Environment
l Federated
Learning and Edge Intelligence
l Large
Model Structure Optimization and Cooperative Inference
l Distributed
Storage Systems
I am recruiting well-motivated and dedicated
Ph.D. / master students to do research in the above-mentioned areas.
Undergraduate students are also welcome to join our team and work on related
topics. Please feel free to
contact me(yebl at nju.edu.cn).
For more details regarding our lab, please
refer to DISLAB.
Funded Projects
l “Theories
and Key Technologies of High Efficiency Computing Systems for Numerical
Fusion”, Special Program of National Natural
Science Foundation of China (No. 62441225), 1.9 mil. RMB, 2025.01-2027.12（在研），PI
The deep
integration and efficient collaboration of data and computing resources are the
key driving forces behind technological innovation and the advancement of the
digital economy. However, the existing computing resource-centric computing methodology
lacks supporting mechanism for data circulation, resulting in data silos that
hinder the realization of data value and restrict the transformation and
development of the digital economy. This project focuses on complex scenarios
of data circulation, with the objective of constructing theories and technologies
for high-performance computing system that support the integration of both data
and computing. It addresses two fundamental scientific issues: spatial-temporal
dislocation of data and computing resources, and diverse mismatch of
intelligent data elements. The research will systematically explore four
aspects: computing system architecture, resource scheduling technology, data processing
methods, and intelligent computing training models. Innovations will be achieved
in areas such as the computing architecture for pooling and integrating data
and computing resources of Cloud-Edge-End; scheduling technology for
bidirectional collaborative migration of both data and computing; multimodal
data processing methods that perceive circulation characteristics; and intelligent
computing training models that collaborate across Cloud-Edge-End
environments. The goal is to achieve breakthroughs in the data circulation-driven
integration processing model of data and computing. Based on these innovative
results, application validation will be conducted in the context of data and
computing integration in power grids. The anticipated outcomes will provide
strong technical support and innovative scientific methods for promoting the
release of data factor value, optimizing resource allocation and management, and
developing a data market economy in the digital economy era.
l “Research
on Theory and Key Techniques for The Fusion of Cloud and Edge Computing”, Key Program of Natural
Science Foundation of China
(No. 61832005), 2.86 mil. RMB, 2019.01-2023.12，PI
l “Research
on Practical Network Coding Techniques for Wireless Networks”, General Program of Natural
Science Foundation of China
(No. 61373014), 0.77 mil. RMB, 2014.01-2017.12，PI
l “Peer-to-Peer
Based Cooperative Streaming Service Technology for Mobile Wireless Network”, General Program of Natural
Science Foundation of China
(No. 61170069), 0.56 mil. RMB, 2012.01-2015.12，PI
l “Network
Coding Based Performance Optimization Technology for Wireless Mesh Networks”,
Youth Program of
Natural Science Foundation of China (No. 60903025), 0.19 mil. RMB, 2010.01-2012.12，PI
l “Complex
Adaptive Systems Model Inspired Resource Management Mechanism for Distributed
Systems”, General
Program of Natural Science Foundation of China (No. 60573106), 0.19 mil. RMB, 2006.01-2008.12，Co-PI
l “Research on The Credibility
Traceability and Privacy Protection Technology for Scientific Research
Behavior Data”，National
Key R&D Program of China (No. 2018YFB1004704), 3.84 mil. RMB, 2018.05-2021.05，PI
l “Edge
Intelligence Service”, ****, 3.84
mil. RMB, 2022.06-2024.07，PI
l “Distributed
Resource Collaboration”, ****, 1.63
mil. RMB, 2019.04-2020.12，PI
l “Cloud-Edge
Integrated Distributed Multi-Source Collaborative Learning: Theory and Key
Technologies”, Provincial Key Project of Jiangsu Basic
Research Program (No. BK20253011), 5 mil. RMB, 2025.09-2028.08（在研）, PI
The Cloud-Edge integrated distributed multi-source collaborative learning is an important way to break down the barriers
between both Cloud and Edge computing resources and better leverage the
collaborative effects of computing, data, and AI models. However, the Cloud-Edge
environment presents complex interwoven characteristics such as open
operating environments, distributed terminal devices, multi-dimensional heterogeneous
resources, and diversified data types. Coupled with the real-time and
security requirements brought by the ubiquitous intelligent applications,
existing distributed machine learning (such as federated learning) still
faces many challenges in the multi-source collaborative learning environment
for Cloud-Edge fusion. Motivated by constructing the Cloud-Edge resource
dynamic adapted collaborative learning paradigm and sustainable learning
guarantee mechanism, this project focuses on the two fundamental scientific
problems (i.e., the mismatch of resource
time-varying model, and the failure of scene-dynamic learning), and tries to
address the key challenges including the controllability of resource
environment, the decoupling-ability of model collaboration, the sustainability
of dynamic evolution, and the balancing-ability of privacy efficiency. The research
will be carried out from the aspects of resource system architecture, model
decoupling methods, evolutional learning mechanism, and privacy enhancement
technology, etc. that support distributed multi-source collaborative learning
in the Cloud-Edge fusion environment. The objective of this project is to
achieve a breakthrough in the distributed machine learning mode from "Cloud
training and Edge inference" to "Cloud-Edge collaborative training
and inference". The project will also develop a multi-source
collaborative learning support platform for Cloud-Edge fusion based on
domestic software and hardware environments, and carry out application
verification in vertical fields such as water conservancy and power grid.
l “Cloud Computing Platform and
Application over Next Generation ICT Infrastructure”, Provincial Key Research and
Development Program of Jiangsu
(No. BE 2017179), 2.4 mil. RMB, 2017.07-2020.06，PI
l “Virtualized Service Platform and Software
Integration Tool for Cloud Computing”, Provincial
High-Tech
Research Program of Jiangsu (No. BE 2012179), 1.2 mil. RMB, 2010.05-2012.12，Co-PI
l “Ubiquitous
Service Integration Techniques over Self-organized Dynamic Network
Environment”, Provincial Natural Science Foundation of Jiangsu (No. BK2009231), 0.2 mil. RMB, 2009.06-2011.12，PI
l “Research
on Key Techniques for Distributed Confusion Based IT Infrastructure and
Platform”, Science
and Technology Program of State Grid Corporation of China, 1.02 mil.
RMB, 2017.01-2018.12，PI
l “Research
on Key techniques for Distributed File System over Domestic Servers”, Science and Technology Program
of State Grid Corporation of China, 0.8 mil. RMB, 2015.01-2016.12，PI
l “Research
on Key techniques for Distributed Resource and File Management over Cloud
Computing Environment and Its Application”, Science and Technology Program of State Grid
Corporation of China, 1.5 mil. RMB, 2013.01-2014.12，PI
Selected Publications
[IEEE INFOCOM’25] Hengrui Cui, Zhihao Qu, Xinyu Wang, Bin Tang, and Baoliu Ye, “LCO-AGQ:
A Lightweight Client-Oriented Adaptive Gradient Quantization Algorithm for
Federated Learning”, Proceedings of International Conference on
Computer Communications, 2025, pp. 1~10.
[IEEE ICPP’25] Junru
Shen, Miao Cai, Kangyue Gao, Baoliu Ye, and Guo Cheng, “HeatList: The Case for Retrofitting
In-memory Range Index with Hotspot Awareness”, Proceedings of the 54th International
Conference on Parallel Processing, 2025, Accepted.
[IEEE TMC’25]
Yanyan Wang, Jia Liu, Zhihao Qu, Shenhuan Lyu, Bing
Tang, Baoliu Ye,
"Time-Efficient
Identifying Key Tag Distribution in Large-Scale RFID Systems", IEEE Transactions on Mobile Computing, accepted.
[IEEE TSC’25] Shihong
Hu, Kaixin Zhang, Zhihao Qu, Baoliu Ye,
"SPAVM: A SFC Placement
and VNF Migration Framework for VNF Instance Reuse in Vehicle-Infrastructure
Collaboration",
IEEE Transactions on Services Computing, accepted.
[IEEE TOS’25] Miao Cai, Junru Shen, and Baoliu
Ye, "Achieving Both Performance and Reliability in
An Asymmetric File System on Disaggregated Persistent Memory", ACM Transactions on Storage, accepted.
[IEEE/ACM TON’25] Andong Zhu, Ji
Qi, Sheng Zhang, Gangyi Luo, Ke Cheng, Xiaohang Shi, Zhuzhong Qian, Baoliu Ye, and Sanglu
Lu, “Machine-Centric High-Accuracy Multi-Video
Analytics with Adaptive Neural Codecs”,
IEEE/ACM Transactions on Networking, accepted.
[IEEE TMC’25] Mingtao Ji, Hehan Zhao, Lei Jiao, Sheng Zhang, Xin Li, Zhuzhong Qian, and Baoliu
Ye, “Edge AI Inference as a Service via Dynamic
Resources from Repeated Auctions”, IEEE
Transactions on Mobile Computing, Vol. 24(9), pp. 7947~7964,
2025.
[IEEE TMC’25] Shiyuan Ma, Lei Xie, Chuyu Wang,Yanling Bu, Long Fan, Jingyi Ning, Qing Guo, Baoliu Ye, and Sanglu
Lu, “Multi-Modal based 3D Localization via the
Channel Adjustment LED-tag”,
IEEE Transactions on Mobile Computing, accepted.
[IEEE COMST’25] Ninghui Jia, Zhihao Qu, Baoliu
Ye, Yanyan Wang, Shihong Hu, and Song Guo, “A
Comprehensive Survey on Communication-Efficient Federated Learning in Mobile
Edge Environments”, IEEE Communications Surveys & Tutorials,
Early Access, 2025.（Impact Factor：34.4）
[IEEE/ACM TON’25] Tingting Xu, Xiaoliang Wang, Chen Tian, Yun Xiong, Baoliu Ye,
Sanglu Lu and Cam-Tu Nguyen, “Accelerating Network Features Deployment With Heterogeneous
Platforms”, IEEE/ACM Transactions on Networking,
Vol. 33(1), pp. 430~445, 2025.
[IEEE TC’25] Zhihao Qu, Ninghui Jia, Baoliu
Ye, Shihong Hu, and Song Guo, “FedQClip: Accelerating
Federated Learning via Quantized Clipped SGD”, IEEE Transactions on Computers, vol. 74(2), pp. 717~730, 2025.
[IEEE TC’25] Miao Cai, Junru Shen, Yifan Yuan, Zhihao Qu, and Baoliu
Ye, “Scaling Persistent In-memory Key-Value
Stores over Modern Tiered, Heterogeneous Memory Hierarchies”, IEEE Transactions on Computers, vol.
74(2), pp. 495~509, 2025.
[IEEE TMC’25] Yue Zeng, Junlong Zhou, Baoliu
Ye, Zhihao Qu, Song Guo, Tianjian Gong, and Pan
Li, “ExpertDRL: Request Dispatching and Instance Configuration for
Serverless Edge Inference with Foundation Models”, IEEE
Transactions on Mobile Computing, Early Access, 2025.
[IEEE TMC’25] Xiaoyu Li, Jia Liu, Zihao Lin, Xuan Liu, Yanyan Wang, Shigeng Zhang, and Baoliu
Ye, “Advancing RFID Technology for Virtual
Boundary Detection”, IEEE Transactions on Mobile Computing,
vol. 24(4), pp. 3407~3422, 2025.
[USENIX ATC’24] Miao Cai, Junru Shen, and Baoliu
Ye, “Ethane: An Asymmetric File System for
Disaggregated Persistent Memory”, Proceedings of the 2024 USENIX Annual Technical Conference,
pp. 191~207.
[USENIX ATC’24] Tingting Xu, Bengbeng Xue, Yang Song,
Xiaomin Wu, Xiaoxin Peng, Yilong Lyu, Xiaoliang
Wang, Chen Tian, Baoliu Ye, Cam-Tu Nguyen,
Biao Lyu, Rong Wen, Zhigang Zong, and Shunmin Zhu,
“CyberStar: Simple, Elastic and Cost-Effective Network Functions
Management in Cloud Network at Scale”, Proceedings of the 2024 USENIX Annual Technical Conference,
pp. 227~246.
[VLDB’24] Miao Cai, Junru Shen, Yifan Yuan, Zhihao Qu, and Baoliu
Ye, “BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value
Stores with Tiered”, Heterogeneous Memory System”, Proceedings of the 50th
International Conference on Very Large Data Bases, pp. 726~739.
[IEEE INFOCOM’24] Xiaoyu Li, Jia Liu, Xuan Liu, Yanyan Wang, Shigeng
Zhang, Baoliu Ye, and Lijun Chen, “RF-Boundary: RFID-Based Virtual Boundary”, Proceedings
of 2024 IEEE Conference on Computer Communications, pp. 2039~2048.
[ACM MobiCom’24] Jingyi Ning, Zhihao Yan, Zhaowei Wu, Lei
Xie, Chuyu Wang, Yingying Chen, Baoliu
Ye, and Sanglu Lu, “MoiréVib:
Micron-level Vibration Detection based on Moiré Pattern”, Proceedings
of the 30th Annual International Conference on Mobile Computing and
Networking, pp. 1393~1407.
[IEEE ICDCS’24] Shiyuan Ma, Lei Xie, Chuyu Wang, Long Fan, Jingyi Ning,
Qing Guo, Baoliu Ye, and
Sanglu Lu, “LED Can Backscatter: Multi-Modal based 3D
Localization via LED-tag”, Proceeding
of the 44th IEEE International Conference on Distributed Computing
Systems, pp. 1097-1107.
[IEEE TC’24] Yue Zeng, Zhihao Qu, Song Guo, Baoliu
Ye, Jie Zhang, Jing Li, and Bin Tang, “SafeDRL: Dynamic
Microservice Provisioning with Reliability and Latency Guarantees”, IEEE
Transactions on Computers, vol. 73(1), pp. 235~248, 2024.
[IEEE TMC’24] Jing Li, Song Guo, Weifa Liang, Jianping
Wang, Quan Chen, Yue Zeng, Baoliu Ye,
and Xiaohua Jia, “Digital Twin-Enabled Service
Provisioning in Edge Computing via Continual Learning”, IEEE
Transactions on Mobile Computing, vol. 23(6), pp. 7335~7350, 2024.
[IEEE TMC’24] Shihong Hu, Zhihao Qu, Bin Tang, Baoliu
Ye, Guanghui Li, and Weisong Shi, “Joint Service Request Scheduling and Container
Retention in Serverless Edge Computing for Vehicle Infrastructure
Collaboration”, IEEE
Transactions on Mobile Computing, vol. 23(6), pp. 6508~6521, 2024.
[IEEE TC’24] Miao Cai, Xuzhen Jiang, Junru Shen, and Baoliu Ye, “SplitDB:
Closing the Performance Gap for LSM-tree-based Key-Value Stores”, IEEE Transactions on Computers (IEEE TC),
vol. 73(1), pp. 206~220, 2024.
[ACM TOS’24] Miao Cai, Junru Shen, Bin Tang, Hao Huang, and Baoliu
Ye, “Exploiting Flat Namespace to Improve
File System Metadata Performance on Ultra-fast, Byte-addressable NVMs”,
ACM Transactions on Storage, vol.
20 (1), pp. 1~47, 2024.
[IEEE JSAC’24] Ningyi Ning, Lei Xie, Yi Li, Yingying Chen, Yanling Bu, Chuyu wang, Sanglu Lu, and Baoliu Ye, “MoiréTracker:
Continuous Camera-to-Screen 6-DoF Pose Tracking based on Moiré Pattern”,
IEEE Journal on Selected Areas in Communications, vol.42(10), pp.
2642~2658, 2024.
[IEEE INFOCOM’23] Tingting Xu, Xiaoliang Wang, Chen Tian, Yun Xiong, Yun Lin, Baoliu Ye, “CLIP:
Accelerating Features Deployment for Programmable Switch”, Proceedings of IEEE International
Conference on Computer Communications, pp. 1~10.
[IEEE TSC’23] Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu
Ye, Jing Li, and Jie Zhang, “RuleDRL: Reliability-Aware SFC Provisioning with Bounded
Approximations in Dynamic Environments”, IEEE Transactions on
Services Computing, vol.16(5), pp. 3651~3664, 2023.
[IEEE TMC’23] Tao Huang, Baoliu Ye, Bin
Tang, Lei Xie, Sanglu Lu, and Song Guo, “Boost Sum-Product Performance for Multiuser Detection
in mMTC at Millimeter Wave”, IEEE Transactions on Mobile Computing,
vol. 2(2), pp. 765~780, 2023.
[IEEE TMC’23] Jingyi Ning, Lei Xie, Chuyu Wang, Yanling
Bu, Fengyuan Xu, Da-wei
Zhou, Sanglu Lu, and Baoliu
Ye, “RF-Badge: Vital Sign-based
Authentication via RFID TagArray on Badges”,
IEEE Transactions on Mobile Computing, vol.22(2), pp. 1170~1184, 2023.
[USENIX ATC’22] Miao Cai, Junru Shen, Bin Tang, Hao Huang, and Baoliu
Ye, “FlatFS: Flatten Hierarchical File System Namespace for
Non-volatile Memories”, Proceedings of the 2022 USENIX Annual Technical Conference, pp. 899~914.
[ACM MobiCom’22] Jingyi Ning, Lei Xie, Yi Li, Yingying Chen, Yanling Bu, Baoliu Ye, and SangluLu,
“MoiréPose: Ultra High Precision Camera-to-Screen Pose Estimation
based onMoiré Pattern”, Proceedings of
the 28th Annual International Conference on Mobile Computing and Networking,
pp. 106~119.
[IEEE TMC’22] Zhihao Qu, Song Guo, Haozhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, and
Bin Tang, “Partial Synchronization to Accelerate
Federated Learning Over Relay-Assisted Edge Networks”, IEEE
Transactions on Mobile Computing, vol.21(12), pp. 4502~4516, 2022.
[SCIS’22] Lin Qian, Bin Tang, Baoliu Ye,
Jianyu Wu, Xiaoliang Wang, and Sanglu Lu, “Stabilizing and Boosting I/O Performance for File
Systems with Journaling on NVMe SSD”, Science China Information Science,
vol. 65(3), 2022.
[ACM TOSN’22] Jingyi
Ning, Lei Xie, Chuyu Wang, Yanling Bu, Fu Xiao, Baoliu
Ye and Sanglu Lu, “Revolving Scanning on Tagged Objects: 3D
Structure Detection of Logistics Packages via RFID systems”, ACM Transactions on Sensor Network, vol.
18(2), pp. 1~ 29, 2022.
[IEEE TMC’21] Yanling Bu, Lei Xie, Yinyin Gong, Jia Liu,
Bingbing He, Jiannong Cao, Baoliu
Ye, and Sanglu Lu, “RF-3DScan:
RFID-based 3D Reconstruction on Tagged Packages”, IEEE Transactions
on Mobile Computing, vol.20(2), pp. 772~738, 2021.
[IEEE INFOCOM’20] Tao Huang, Baoliu Ye, Zhihao
Qu, Bin Tang, Lei Xie, and Sanglu Lu, “Physical-Layer Arithmetic for Federated Learning in
Uplink MU-MIMO Enabled Wireless Networks”, Proceedings of IEEE International Conference on Computer
Communications, pp. 1221~1230.
[IEEE/ACM TON’20] Bin Tang, Xiaoliang Wang, Cam-Tu Nguyen, Baoliu
Ye, and Sanglu Lu, “Construction
of Subexponential-Size Optical Priority Queues With
Switches and Fiber Delay Lines”, IEEE/ACM Transactions on
Networking, vol.28(1), pp. 336~346, 2020.
[IEEE/ACM TON’20] Can Wang, Sheng Zhang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, Baoliu
Ye, and Sanglu Lu, “Joint
Server Assignment and Resource Management for Edge-Based MAR System”, IEEE/ACM
Transactions on Networking, vol.28(5), 2020, pp. 2378~2391.
[IEEE TMC’20] Zhihao Qu, Baoliu Ye, Bin
Tang, Song Guo, Sanglu Lu, and Weihua Zhuang, “Cooperative Caching for Multiple Bitrate Videos in
Small Cell Edges”, IEEE Transactions on Mobile Computing, vol.19(2),
pp. 288~299, 2020.
[IEEE INFOCOM’19] Han
Zhang, Wenzhong Li, Shaohua Gao, Xiaoliang Wang, Baoliu Ye, “ReLeS: A
Neural Adaptive Multipath Scheduler Based on Deep Reinforcement Learning”,
2019 IEEE International Conference on
Computer Communications, Paris, France, April 29~May 2, 2019.
[IEEE TC’19] Qihua Zhou, Kun Wang, Peng Li, Deze
Zeng, Song Guo, Baoliu
Ye and Minyi Guo, “Fast
Coflow Scheduling via Traffic Compression and Stage
Pipelining in Datacenter Networks”, IEEE Transactions on Computers Vol. 68, No. 12, pp. 1755~1771, 2019.
[IEEE TPDS’20] Chenhan Xu, Kun Wang, Peng Li, Song Guo, Jiangtao
Luo, Baoliu Ye and Minyi Guo, “Making
Big Data Open in Edges: A Resource-Efficient Blockchain-Based Approach”,
IEEE Transactions on Parallel
Distributed Systems, Vol. 30, No. 4, pp. 870~882, 2019.
[IEEE TMC’19] Yanling
Bu, Lei Xie, Yinyin Gong, Jia Liu, Bingbing He, Jiannong Cao, Baoliu
Ye and Sanglu Lu, “RF-3DScan: RFID-based 3D Reconstruction on
Tagged Packages”, IEEE Transactions on Mobile Computing,
vol. 20, no. 2, pp. 722~738, 2019.
[APNet’18] Haonan Qiu,
Xiaoliang Wang, Tianchen Jin, Zhuzhong Qian, Baoliu Ye, Bin Tang, Wenzhong Li and
Sanglu Lu, “Toward Effective
and Fair RDMA Resource Sharing”, 2nd
Asia-Pacific Workshop on Networking, Beijing, China, August 2 ~3, 2019.(Best Paper Award)
[IEEE TMC’17] Qinhui Wang, Baoliu
Ye, Bin Tang, Tianyin Xu, Song Guo, Sanglu Lu and Weihua Zhuang, “Robust Large-Scale Spectrum
Auctions against False-Name Bids”, IEEE Transactions on Mobile Computing,
Vol. 16, No. 6, pp. 1730~1743, 2017.
[JOS’17] Shang Ding, Xin
Tong, Yan Chen and Baoliu Ye, “Bandwidth-Aware
Node Repair Optimization for Distributed Storage System Based on Simple
Regenerating Code”, Journal of Software, Vol. 28, No. 8, 2017. (in Chinese)
[IEEE JSAC’16] Huawei Huang,
Song Guo, Weihua Liang, Keqiu Li, Baoliu Ye and Weihua Zhuang, “Near-Optimal Routing
Protection for In-Band Software-Defined Heterogeneous Networks”, IEEE Journal on Selected Area in Communications,
Vol. 34, No. 11, pp. 2918~2934, 2016.
[IEEE TC’16] Bin Tang, Shenghao Yang, Baoliu
Ye, Song Guo and Sanglu Lu, “Near-optimal One-sided Scheduling for Coded Segmented Network
Coding”, IEEE Transactions on Computers, Vol. 65, No. 3, pp. 929~939, 2016.
[IEEE ICDCS’15] Qinhui Wang, Baoliu Ye, Bin Tang, Sanglu
Lu and Song Guo, ”eBay in the Clouds: False-name-proof
Auctions for Cloud Resource Allocation”, The 35th IEEE International Conference on Distributed
Computing Systems, Columbus, USA June 29 ~ July 2, 2015.
[ACM MobiHoc’15] Qinhui Wang, Baoliu Ye, Bin Tang, Tianyin Xu, Song Guo
and Sanglu Lu, “ALETHEIA:
Robust Large-Scale Spectrum Auctions against False-name Bids”, The
16th ACM International Symposium on Mobile Ad Hoc Networking and
Computing, Hangzhou, China, June 22~25, 2015.
[IEEE ICPP’15] Zhihao
Qu, Baoliu Ye, Bin Tang, Sanglu Lu and Song Guo, “Energy-aware
Cost-effective Cooperative Mobile Streaming on Smartphones over Hybrid
Wireless Networks”, The 44th
International Conference on Parallel Processing, Beijing, China,
September 1~4, 2015.
[IEEE TVT’15] Qinhui Wang, Baoliu Ye, Tianyin Xu, Sanglu Lu and Song Guo, “Approximately Truthful Mechanisms for Radio Spectrum
Allocation”, IEEE Transactions on Vehicular
Technology, Vol. 64, No. 6, pp. 2615~2626, 2015.
[IEEE TC’15] Huawei Huang,
Song Guo, Peng Li, Baoliu
Ye and Ivan Stojmenovic, “Joint Optimization of Rule Placement and Traffic Engineering
for QoS Provisioning in Software Defined Network”, IEEE
Transactions on Computers, Vol. 64, No. 12, pp. 3488~3499, 2015.
[ACM MobiHoc’14] Bin Tang, Baoliu Ye, Sanglu
Lu, Song Guo and Ivan Stojmenovic, “Latency-optimized Broadcast in Mobile Ad Hoc Networks
without Node Coordination”, The
15th ACM International Symposium on Mobile Ad Hoc Networking and
Computing, PA, USA, August 11~14, 2014.
[IEEE TPDS’14] Chen Wang, Baoliu Ye, Xiaoliang Wang, Song
Guo and Sanglu Lu, “Delay
and Capacity Analysis in Mobile Ad-hoc Networks with Correlated Mobility
and f-cast Relay”, IEEE
Transactions on Parallel and Distributed Systems, Vol. 25, No. 11,
pp. 2829–2839, 2014.
[IEEE TPDS’14] Bin Tang, Baoliu Ye, Song Guo, Sanglu Lu and Dapeng
Oliver Wu, “Order-Optimal Information Dissemination in
MANETs via Network Coding”, IEEE
Transactions on Parallel and Distributed Systems (IEEE TPDS), Vol.
25, No. 7, pp. 1841–1851, 2014.
[IEEE TPDS’14] Qinhui Wang, Baoliu Ye, Sanglu Lu and Song Guo, “A Truthful QoS-Aware Spectrum Auction Framework with
Spatial Reuse for large-Scale Networks”, IEEE
Transactions on Parallel and Distributed Systems, Vol. 25, No. 10,
pp. 2499–2508, 2014.
[IEEE JSAC’14] Peng Li,
Song Guo, Weihua Zhuang and Baoliu
Ye, “On Efficient Resource Allocation for
Cognitive and Cooperative Communications”,
IEEE Journal on Selected Areas in Communications, Vol. 32, No. 2, pp.
264~273, 2014.
[IEEE TPDS’13] Bin Tang, Baoliu Ye, Song Guo and Sanglu Lu, “Coding-Aware
Proportional-Fair Scheduling in OFDMA Relay Networks”, IEEE
Transactions on Parallel and Distributed Systems. Vol.24, No. 9, pp.
1727~1740, 2013. (Spotlight Paper)
[IEEE ISIT’12] Bin Tang, Shenghao Yang, Yitong Yin, Baoliu Ye and Sanglu
Lu, “Expander Graph Based Overlapped Chunked
Codes”, 2012 IEEE International
Symposium on Information Theory, Cambridge, MA, July 1~6, 2012.
[IEEE IWQoS’10] Tianyin Xu, Baoliu Ye, Qinhui
Wang, Wenzhong Li, Sanglu
Lu, and Xiaoming Fu, “APEX: A Personalization
Framework to Improve Quality of Experience for DVD-like Functions in P2P VoD
Applications”, The 18th
IEEE International Workshop on Quality of Service, Beijing, China, June
2010.
[IEEE ICPP’09] Qifeng Yu, Tianyin Xu, Baoliu Ye, Sanglu
Lu, and Daoxu Chen, “SkipStream: A
Clustered Skip Graph Based On-demand Streaming Scheme over Ubiquitous
Environments”, The 38th
IEEE International Conference on Parallel Processing, Vienna, Austria,
September 2009.
[IEEE ICPP’06] Baoliu Ye, Minyi Guo, and Jingling Xue, “CoopStream: A
Cooperative Cache Based Streaming Schedule Scheme for On-demand Media
Services on Overlay Networks”, The
35th International Conference on Parallel Processing,
Columbus, USA, August 2006.
DBLP: Baoliu Ye
Awards
l Key
Distributed Collaborative Computing Technologies for Ubiquitous Services and
Its Applications, Jiangsu Provincial Science and
Technology Award in 2016, First Prize (Personal
Ranking: 3/11)
l Cloud-Edge
Fusion Based Large-scale Distributed Data Processing Support Platform and Its
Industrial Applications, Jiangsu Provincial
Science and Technology Award in 2019, First
Prize (Personal Ranking: 1/11)
l Fundamental
Theories and Methods of Computing Systems for End-Edge Intelligent Services, Shanghai Natural Science Award in 2024, First
Prize (Personal Ranking: 5/5)
l Scenario-adaptive
Intelligent Collaborative Processing Platform Integrating Sensing,
Transmission and Computing With Industrial Applications, Jiangsu Provincial Science and Technology Award in 2023,
Second Prize (Personal Ranking: 3/11)
l High
Reliability Data and High Performance Computing Based RETURN Support Platform,
State Grid Science and Technology progress Award
in 2018,
First Prize (Personal Ranking: 3/13)
    
Professional Services
l Organization Services
o Regent,
China Computer Federation (CCF)
o Vice-Director,
CCF Technical Committee of Distributed Computing and Systems
l Conference Services
o General Co-Chair:
NPC 2025, EAI The 2nd International Conference on 5G for Ubiquitous
Connectivity
o TPC Co-Chair: HotPOST 2012, HotPOST 2011,
P2PNet 2010
o Workshop Co-Chairs: Moubiquitous 2013
l Journal Services
o Editorial Board
ü
Associate Editor, IEEE Open Journal of
the Communications Society
o Guest Editor
ü
IEICE Transaction on Information and
System, Special Issue on “Trust, Security and Privacy for Pervasive
Applications”
ü
IET Communications, Special Issue on “Peer-to-Peer
Systems and Online Social Networking”
ü
International Journal of Distributed
Sensor Networks, Special Issue on “Context Awareness
Services in Wireless Sensor Networks”
ü
International Journal of Mobile
Networks and Applications, Special Issue for Mobiquitous 2013
o Journal Reviewer
ü
IEEE/ACM Transactions on Networking
ü
IEEE Transactions on Parallel and
Distributed Systems
ü
IEEE Transactions on Information
Theory
ü
IEEE Transactions on Mobile Computing
ü
IEEE Transactions on Computers
ü
IEEE Transactions on Emerging Topics
in Computing
ü
IEEE Transactions on Vehicular
Technology
Courses
l Operating
Systems (For Undergraduate Students)
l Kernel
Analysis of Linux Operating Systems (For Undergraduate Students)
l Distributed
Data Processing (For Graduate Students)
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