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Education

• Ph.D. in Computer Science, University of Massachusetts Amherst, 2015 (Advisor: Prof. Don Towsley).
• M.S. in Applied Mathematics, University of Massachusetts Amherst, 2012.
• M.S. in Electrical and Computer Engineering, University of Massachusetts Amherst, 2008.
• B.Eng. in Electronic Engineering, Tsinghua University, 2006.

Research Interests

I am broadly interested in all aspects of the intersection of AI, networks and systems, including theoretical modeling and analysis, performance evaluation and optimization, algorithm design, and system implementation. My current research interests include distributed learning system, serverless computing, deep learning theory, online learning, etc.

Prospective Students: I am constantly looking for highly motivated students to work together on problems in but not limited to the aforementioned areas. Please email me with your CV and transcripts if you are interested. Students at both undergraduate and graduate levels are welcome!

Teaching

• SJTU ICE2605: Signals and Systems, Spring 2023, 2022
• SJTU CS2601: Linear and Convex Optimization, Fall 2022, 2021
• SJTU CS257: Linear and Convex Optimization, Fall 2020, 2019 [course website]
• SJTU EI331: Signals and Systems, Spring 2021, 2020, 2019 [course website for 2019]
• UMass CS691Q: Topics in Quantum Computing, Fall 2017, [course website]
• UMass CS690PE: Performance Evaluation, guest lecturer, Fall 2016
• UMass ECE242: Data Structures and Algorithms, teaching assistant, Fall 2006

Students

Current Students

• PhD: Yunzhuo Liu, Bowen Jiang, Xiao Wei, Yichen Zhu, Baoxiang He, Jian Yuan
• MS: Mengtian Zhang, Zimeng Huang
• Undergraduate: Yubo Yang, Qiaoan Liu, Yujie Xu

Alumni

• MS: Wenhao Ma (Ctrip), Zhi Shen (China UnionPay)
• Undergraduate: Yunzhuo Liu (PhD in CS@SJTU), Yichen Zhu (PhD in CS@SJTU), Mengtian Zhang (MS in EE@SJTU), Zimeng Huang (MS in EE@SJTU), Yifan Wang (Intel)

Publications

• Prediction with Incomplete Data under Agnostic Mask Distribution Shift [pdf]
  Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou
  IJCAI 2023, Macao, China.


• Online Restless Bandits with Unobserved States [pdf]
  Bowen Jiang, Bo Jiang, Jian Li, Tao Lin, Xinbing Wang, Chenghu Zhou
  ICML 2023, Honolulu, HI, USA.


• Libra: Contention-Aware GPU Thread Allocation for Data Parallel Training in High Speed Networks [pdf]
  Yunzhuo Liu, Bo Jiang, Shizhen Zhao, Tao Lin, Xinbing Wang, Chenghu Zhou
  INFOCOM 2023, New York area, USA.


• Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training [pdf]
  Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu
  CCGrid 2023, Bangalore, India.


• Peripapillary Atrophy Segmentation in Fundus Images via Multi-task Learning [pdf]
  Xiao Wei, Bo Jiang, Yuye Ling, Peiyao Jin, Yifan Wang, Xinbing Wang, Chenghu Zhou
  SPIE Medical Imaging 2023, San Diego, CA, USA.


• Understanding Representation Learnability of Nonlinear Self-Supervised Learning [pdf]
  Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li
  AAAI 2023, Washington, DC, USA.


• Collective Influence Maximization in Social Networks [pdf]
  Xudong Wu, Luoyi Fu, Shuaiqi Wang, Bo Jiang, Xinbing Wang, Guihai Chen
  IEEE Transactions on Mobile Computing, Volume 22, Issue 2, Pages 797-812, February 2023.


• FuncPipe: A Pipelined Serverless Framework for Fast and Low-Cost Training of Deep Learning Models [pdf]
  Yunzhuo Liu, Bo Jiang, Tian Guo, Zimeng Huang, Wenhao Ma, Xinbing Wang, Chenghu Zhou
  PACM on Measurement and Analysis of Computing Systems (SIGMETRICS 2023), Volume 6, Number 3, Article 47, December 2022.


• iSwift: Fast and Accurate Impact Identification for Large-scale CDNs [pdf]
  Jiyan Sun, Tao Lin, Yinlong Liu, Xin Wang, Bo Jiang, Liru Geng, Pengkun Jing and Liang Dai
  IWQoS 2022, Virtual Conference.


• Neighborhood Matters: Influence Maximization in Social Networks with Limited Access [pdf]
  Chen Feng, Luoyi Fu, Bo Jiang, Haisong Zhang, Xinbing Wang, Feilong Tang, Guihai Chen
  IEEE Transactions on Knowledge and Data Engineering, Volume 34, Issue 6, Pages 2844-2859, June 2022


• Covert Cycle Stealing in a Single FIFO Server [pdf]
  Bo Jiang, Philippe Nain, Don Towsley
  ACM Transactions on Modeling and Performance Evaluation of Computing Systems, Volume 6, Issue 2, Article 5, June 2021.


• SDFVAE: Static and Dynamic Factorized VAE for Anomaly Detection of Multivariate CDN KPIs [pdf]
  Liang Dai, Tao Lin, Chang Liu, Bo Jiang, Yanwei Liu, Zhen Xu and Zhi-Li Zhang
  WWW 2021, Ljubljana, Slovenia.


• Grad: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Coding [pdf] [tech report]
  Yunzhuo Liu, Bo Jiang, Tian Guo, Ramesh K. Sitaraman, Don Towsley, Xinbing Wang
  ACM Multimedia 2020, Seattle, WA, USA.


• GENPass: A Multisource Deep Learning Model for Password Guessing [pdf]
  Zhiyang Xia, Ping Yi, Yunyu Liu, Bo Jiang, Wei Wang, Ting Zhu
  IEEE Transactions on Multimedia, Volume 22, Issue 5, Pages 1323-1332, May 2020.


• MisGAN: Learning from Incomplete Data with Generative Adversarial Networks [pdf]
  Steven Cheng-Xian Li, Bo Jiang, Benjamin Marlin
  ICLR 2019, New Orleans, LA, USA.


• On the Convergence of the TTL Approximation for an LRU Cache under Independent Stationary Request Processes [pdf]
  Bo Jiang, Philippe Nain, Don Towsley
  ACM Transactions on Modeling and Performance Evaluation of Computing Systems, Volume 3, Issue 4, Article 20, September 2018.


• On a Class of Stochastic Multilayer Networks [pdf]
  Bo Jiang, Philippe Nain, Don Towsley, Saikat Guha
  PACM on Measurement and Analysis of Computing Systems (SIGMETRICS 2018), Volume 2, Number 1, Article 18, March 2018.


• On the Complexity of Optimal Request Routing and Content Caching in Heterogeneous Cache Networks [pdf]
  Mostafa Dehghan, Bo Jiang, Anand Seetharam, Ting He, Theodoros Salonidis, Jim Kurose, Don Towsley, Ramesh K. Sitaraman
  IEEE/ACM Transactions on Networking, Volume 25, Number 3, Pages 1635-1648, June 2017.


• On the Duration and Intensity of Competitions in Nonlinear Pólya Urn Processes with Fitness [pdf] [tech report]
  Bo Jiang, Daniel Figueiredo, Bruno Ribeiro, Don Towsley
  SIGMETRICS/Performance 2016, Antibes Juan-les-Pins, France. (Best Paper Award)
  


• Poisson Process Driven Stochastic Differential Equations for Bivariate Heavy Tailed Distributions [pdf]
  Shan Lu, Gennady Samorodnitsky, Weibo Gong, Bo Jiang, Jieqi Kang, Don Towsley
  ACC 2016, Boston, MA, USA.
  


• Deploying Energy Routers in an Energy Internet Based on Electric Vehicles [pdf]
  Ping Yi, Ting Zhu, Bo Jiang, Ruofan Jin, Bing Wang
  IEEE Transactions on Vehicular Technology, Volume 65, Issue 6, Pages 4714-4725, June 2016.
  


• On the Duration and Intensity of Cumulative Advantage Competitions [pdf]
  Bo Jiang, Liyuan Sun, Daniel Figueiredo, Bruno Ribeiro, Don Towsley
  Journal of Statistical Mechanics: Theory and Experiment, 2015(11):P11022.
  
  
• On the Analysis of Caches with Pending Interest Tables [pdf]
  Mostafa Dehghan, Bo Jiang, Ali Dabirmoghaddam, Don Towsley
  ICN 2015, San Francisco, CA, USA.
  


• Reciprocity in Social Networks with Capacity Constraints [pdf] [tech report]
  Bo Jiang, Zhi-Li Zhang, Don Towsley
  KDD 2015, Sydney, Australia.
  


• On the Complexity of Optimal Routing and Content Caching in Heterogeneous Networks [pdf] [tech report]
  Mostafa Dehghan, Anand Seetharam, Bo Jiang, Ting He, Theodoros Salonidis, Jim Kurose, Don Towsley, Ramesh K. Sitaraman
  INFOCOM 2015, Hong Kong, China.


• Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links [pdf]
  Shuo Guo, Liang He, Yu Gu, Bo Jiang, Tian He
  IEEE Transactions on Computers, Volume 63, Issue 11, Pages 2787-2802, November 2014.


• Optimizing Control Overhead for Power-aware Routing in Wireless Networks [pdf]
  Anand Seetharam, Bo Jiang, Dennis Goeckel, Jim Kurose, Robert Hancock
  MILCOM 2013, San Diego, CA, USA.


• How to Optimally Allocate your Budget of Attention in Social Networks [pdf]
  Bo Jiang, Nidhi Hegde, Laurent Massoulié, Don Towsley
  INFOCOM 2013, Turin, Italy.


• Impact of In-network Aggregation on Target Tracking Quality Under Network Delays [pdf]
  Wei Wei, Ting He, Chatschik Bisdikian, Dennis Goeckel, Bo Jiang, Lance Kaplan, Don Towsley
  IEEE Journal on Selected Areas in Communications, Volume 31, Number 4, Pages 808-818, April 2013.


• Heavy Tails in Queuing Systems: Impact of Parallelism on Tail Performance [pdf]
  Bo Jiang, Jian Tan, Wei Wei, Ness Shroff, Don Towsley
  Journal of Applied Probability, Volume 50, Number 1, Pages 127-150, March 2013.


• Stochastic Differential Equations for Power Law Behaviors [pdf]
  Bo Jiang, Roger Brockett, Weibo Gong, Don Towsley
  CDC 2012, Maui, HI, USA.


• An Energy Transmission and Distribution Network Using Electric Vehicles [pdf]
  Ping Yi, Ting Zhu, Bo Jiang, Bing Wang, Don Towsley
  ICC 2012, Ottawa, Canada.


• On the Resource Utilization and Traffic Distribution of Multipath Transmission Control [pdf] [tech report]
  Bo Jiang, Yan Cai, Don Towsley
  Performance Evaluation, Volume 68, Issue 11, Pages 1175- 1192, November 2011.


• Can Multipath Mitigate Power Law Delays? - Effects of Parallelism on Tail Performance [pdf]
  Jian Tan, Wei Wei, Bo Jiang, Ness Shroff, Don Towsley
  ITC22, 2010, Amsterdam, the Netherlands.
  
  
• A Practical On-line Pacing Scheme at Edges of Small Buffer Networks [pdf]
  Yan Cai, Bo Jiang, Tilman Wolf, Weibo Gong
  INFOCOM 2010, San Diego, CA, USA.


• Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links [pdf]
  Shuo Guo, Yu Gu, Bo Jiang, Tian He
  MobiCom 2009, Beijing, China.

Services

• IEEE ICCCN 2022, track co-chair
• IEEE ICNP 2019, Organizational Committee (Travel Grant Co-chair)
• TPC: SIGMETRICS (2021, 2020); ICDCS (2021); MASCOTS (2023); ITC (2023, 2022, 2021, 2017); Performance (2021, 2020, 2018, 2017); IEEE JSAC Special issue on Caching for Communication Systems and Networks 2018
• Reviewer: IEEE/ACM Transactions on Networking, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, IEEE Transactions on Mobile Computing, IEEE Transactions on Automatic Control, IEEE Transactions on Multimedia, IEEE Transactions on Knowledge and Data Engineering, IEEE Internet of Things Journal, Performance Evaluation (Elsevier)