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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 systems, efficient training and inference of LLMs, deep learning theory, 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 CS2601: Linear and Convex Optimization, Fall 2024, 2023, 2022, 2021
• SJTU MATH3806: Optimization Methods (co-taught with Kuan Yang), Fall 2024, 2023
• SJTU ICE2605: Signals and Systems, Spring 2023, 2022
• 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, Zihao Fan, Haohui Zhang
• MS: Zimeng Huang, Yubo Yang, Ziyi Shang, Changlin Yang
• Undergraduate: Zhiye Wang, Zhi Han

Alumni

• MS: Wenhao Ma (2023, Ctrip), Zhi Shen (2023, China UnionPay), Mengtian Zhang (2024, Ant Group)
• Undergraduate: Yunzhuo Liu (2019, PhD@SJTU), Yichen Zhu (2019, PhD@SJTU), Mengtian Zhang (2021, MS@SJTU), Zimeng Huang (2022, MS@SJTU), Yifan Wang (2022, MS@UCSD), Yubo Yang (2023, MS@SJTU), Yujie Xu (2024, MS@UPenn), Ziyi Shang (2024, MS@SJTU)

Publications

• Zimeng Huang, Hao Nie, Haonan Jia, Bo Jiang, Junchen Guo, Jianyuan Lu, Rong Wen, Biao Lyu, Rong Wen, Shunmin Zhu, Xinbing Wang, "FlowCheck: Decoupling Checkpointing and Training of Large-Scale Models", EuroSys 2025, Rotterdam, the Netherlands. [code]


• Yunzhuo Liu, Junchen Guo, Bo Jiang, Yang Song, Pengyu Zhang, Rong Wen, Biao Lyu, Rong Wen, Shunmin Zhu, Xinbing Wang, "FastIOV: Fast Startup of Passthrough Network I/O Virtualization for Secure Containers", EuroSys 2025, Rotterdam, the Netherlands. [code]


• Ruofeng Yang, Zhijie Wang, Bo Jiang, Shuai Li, "Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models", NeurIPS 2024, Vancouver, Canada.


• Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li, "Few-Shot Diffusion Models Escape the Curse of Dimensionality", NeurIPS 2024, Vancouver, Canada.


• Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian Guo, "CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework", NeurIPS 2024, Vancouver, Canada.


• Yunzhuo Liu, Junchen Guo, Bo Jiang, Pengyu Zhang, Xiaoqing Sun, Yang Song, Wei Ren, Zhiyuan Hou, Biao Lyu, Rong Wen, Shunmin Zhu, Xinbing Wang, "Understanding Network Startup for Secure Containers in Multi-Tenant Clouds: Performance, Bottleneck and Optimization", IMC 2024, Madrid, Spain. [code]


• Zhijie Wang, Bo Jiang, Shuai Li, "In-Context Learning on Function Classes Unveiled for Transformers", ICML 2024, Vienna, Austria.


• Yaoqi Tang, Qilin Sun, Siqi Wang, Bo Jiang, Yuye Ling, "Classifying Melanocytic Nevus by Using Extracted Depth-Encoded Channel Information", ISBI 2024, Athens, Greece.


• Yichen Zhu, Bo Jiang, Haiming Jin, Mengtian Zhang, Feng Gao, Jianqiang Huang, Tao Lin, Xinbing Wang, "Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network", ACM Transactions on Knowledge Discovery from Data, Volume 18, Issue 5, Article 115, February 2024. [arxiv]


• Mengtian Zhang, Bo Jiang, Yuye Ling, Xinbing Wang, "Learning with Non-Uniform Label Noise: A Cluster-Dependent Weakly Supervised Approach", ICASSP 2024, Seoul, Korea. [code]


• Yichen Zhu, Bo Jiang, "StableMiss+: Prediction with Incomplete Data under Agnostic Mask Distribution Shift", ICASSP 2024, Seoul, Korea.


• Ziwei He, Jian Yuan, Le Zhou, Jingwen Leng, Bo Jiang, "Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse Attention", ICASSP 2024, Seoul, Korea. [code]


• Yunzhuo Liu, Hao Nie, Hui Cai, Bo Jiang, Pengyu Zhang, Yirui Liu, Yidong Yao, Xionglie Wei, Biao Lyu, Chenren Xu, Shunmin Zhu, Xinbing Wang, "X-Plane: A High-Throughput Large-Capacity 5G UPF", MobiCom 2023, Madrid, Spain. [code]


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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

Professional Activities

• ACM SIGMETRICS 2024 Doctoral Dissertation Award committee
• PEVA Special Issue on Performance Analysis and Evaluation of Systems for Artificial Intelligence 2024, guest co-editor
• IEEE ICCCN 2022, track co-chair
• IEEE ICNP 2019, travel grant co-chair
• TPC/Reviewer: SIGMETRICS (2025, 2024, 2021, 2020); NeurIPS (2024); ICLR (2025); AISTATS (2025); WiOpt (2024); ICDCS (2021); MASCOTS (2024, 2023); CCGrid (2024); ITC (2024, 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)