Conference Proceedings

  • Abeda Sultana, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng. “Hadar: Heterogeneity-Aware Optimization-Based Online Scheduling for Deep Learning Clusters,” in the Proceedings of the 38th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2024), San Francisco, California, May 27-31, 2024.

  • Md Sirajul Islam, Simin Javaherian, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng. “FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering,” in the Proceedings of the 38th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2024) (Poster Presentation), San Francisco, California, May 27-31, 2024.

  • Simin Javaherian, Sanjeev Panta, Shelby Williams, Md Sirajul Islam, Li Chen. “FedFair^3: Unlocking Threefold Fairness in Federated Learning,” in the Proceedings of the IEEE International Conference on Communications (ICC), Denver, Colorado, June 9-13, 2024.

  • Shuhao Liu, Li Chen, Yuanzhong Fu. “Periscoping: Private Key Distribution for Large-Scale Mixnets,” in the Proceedings of IEEE INFOCOM 2024, Vancouver, Canada, May 20-23, 2024.

  • Fudong Lin, Summer Crawford, Kaleb Guillot, Yihe Zhang, Yan Chen, Xu Yuan, Li Chen, Shelby Williams, Robert Minvielle, Xiangming Xiao, Drew Gholson, Nicolas Ashwell, Tri Setiyono, Brenda Tubana, Lu Peng, Magdy Bayoumi, Nian-Feng Tzeng. “MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer,” in International Conference on Computer Vision (ICCV), October 4-6, 2023.

  • Fudong Lin, Xu Yuan, Yihe Zhang, Purushottam Sigdel, Li Chen, Lu Peng, Nian-Feng Tzeng. “Comprehensive Transformer-based Model Architecture for Real-World Storm Prediction,” in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), September 18-22, 2023.

  • Jananie Jarachanthan, Li Chen, Fei Xu. “ACTS: Autonomous Cost-Efficient Task Orchestration for Serverless Analytics,” in the Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service (IWQoS 2023), Orlando, FL, June 19–21, 2023.

  • Ruitao Shang, Fei Xu, Zhuoyan Bai, Li Chen, Zhi Zhou, Fangming Liu. “spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud,” in the Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service (IWQoS 2023), Orlando, FL, June 19–21, 2023.

  • Yihe Zhang, Xu Yuan, Jin Li, Jiadong Lou, Li Chen, Nian-Feng Tzeng. “Reverse Attack: Black-box Attacks on Collaborative Recommendation,” in the Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (ACM CCS 2021), November 15-19, 2021.

  • Jie Lian, Jiadong Lou, Li Chen, Xu Yuan. “EchoSpot: Spotting Your Locations via Acoustic Sensing,” in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), vol. 5, issue 3, September 2021.

  • Yihe Zhang, Xu Yuan, Sytske K. Kimball, Eric Rappin, Li Chen, Paul Darby, Tom Johnsten, Lu Peng, Boisy Pitre, David Bourrie, and Nian-Feng Tzeng, “Precise Weather Parameter Predictions for Target Regions via Neural Networks,” in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), September 13-17, 2021.

  • Jananie Jarachanthan, Li Chen, Fei Xu, Bo Li. “AMPS-Inf: Automatic Model Partitioning for Serverless Inference with Cost Efficiency,” in the Proceedings of the 50th International Conference on Parallel Processing (ICPP 2021), Argonne National Laboratory, Illinois, August 9-12, 2021.

  • Hao Lan, Li Chen, Baochun Li. “Accelerated Device Placement Optimization with Contrastive Learning,” in the Proceedings of the 50th International Conference on Parallel Processing (ICPP 2021), Argonne National Laboratory, Illinois, August 9-12, 2021.

  • Zhenwei Zhang, Qiang Qi, Ruitao Shang, Li Chen, Fei Xu. “Prophet: Speeding up Distributed DNN Training with Predictable Communication Scheduling,” in the Proceedings of the 50th International Conference on Parallel Processing (ICPP 2021), Argonne National Laboratory, Illinois, August 9-12, 2021.

  • Jananie Jarachanthan, Li Chen, Fei Xu, Bo Li. “Astra: Autonomous Serverless Analytics with Cost-Efficiency and QoS-Awareness,” in the Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2021), May 17-21, 2021.

  • Hao Lan, Li Chen, Baochun Li. “EAGLE: Expedited Device Placement with Automatic Grouping for Large Models,” in the Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2021), May 17-21, 2021.

  • Yihe Zhang, Jiadong Lou, Li Chen, Xu Yuan, Jin Li, Tom Johnsten, Nian-Feng Tzeng. “Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems,” in the Proceedings of the 25th European Symposium on Research in Computer Security (ESORICS 2020), September 14-18, 2020.

  • Abeda Sultana, Li Chen, Fei Xu, Xu Yuan. “E-LAS: Design and Analysis of Completion-Time Agnostic Scheduling for Distributed Deep Learning Cluster,” in the Proceedings of the 49th International Conference on Parallel Processing (ICPP 2020), August 17-20, 2020.

  • Yeting Guo, Fang Liu, Zhiping Cai, Li Chen, Nong Xiao. “FEEL: A Federated Edge Learning System for Efficient and Privacy-Preserving Mobile Healthcare,” in the Proceedings of the 49th International Conference on Parallel Processing (ICPP 2020), August 17-20, 2020.

  • Jiao Li, Li Chen. “A Concurrent Weighted Communication Scheme for Blockchain Transaction,” in the Proceedings of the IEEE INFOCOM 2020 Workshop on Edge Computing Security and Blockchain, July 6-9, 2020.

  • Wujie Shao, Fei Xu, Li Chen, Haoyue Zheng, Fangming Liu. “Stage Delay Scheduling: Speeding up DAG-style Data Analytics Jobs with Resource Interleaving,” in the Proceedings of the 48th International Conference on Parallel Processing (ICPP 2019), Kyoto, Japan, August 5-8, 2019.

  • Haoyue Zheng, Fei Xu, Li Chen, Zhi Zhou, Fangming Liu. “Cynthia: Cost-Efficient Cloud Resource Provisioning for Predictable Distributed Deep Neural Network Training,” in the Proceedings of the 48th International Conference on Parallel Processing (ICPP 2019), Kyoto, Japan, August 5-8, 2019.

  • Yuanxiang Gao, Li Chen, Baochun Li. “Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization,” in the Proceedings of the 32rd Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, Canada, December 3-8, 2018.

  • Yuanxiang Gao, Li Chen, Baochun Li. “Spotlight: Optimizing Device Placement for Training Deep Neural Networks,” in the Proceedings of the 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden, July 10-15, 2018.

  • Shuhao Liu, Li Chen, Baochun Li. “Siphon: Expediting Inter-Datacenter Coflows in Wide-Area Data Analytics,” in the Proceedings of the 2018 USENIX Annual Technical Conference (USENIX ATC 2018), Boston, Massachusetts, July 11-13, 2018 (acceptance ratio: 20%).

  • Shuhao Liu, Li Chen, Baochun Li, Aiden Carnegie. “A Hierarchical Synchronous Parallel Model for Wide-Area Graph Analytics,” in the Proceedings of IEEE INFOCOM 2018, Honolulu, HI, April 15-19, 2018 (acceptance ratio: 19%).

  • Shuhao Liu, Li Chen, Baochun Li. “Siphon: a High-Performance Substrate for Inter-Datacenter Transfers in Wide-Area Data Analytics,” in the Proceedings of Symposium on Cloud Computing (SoCC) 2017 (Poster Session), Santa Clara, California, September 24-27, 2017.

  • Li Chen, Shuhao Liu, Baochun Li, Bo Li. “Scheduling Jobs across Geo-Distributed Datacenters with Max-Min Fairness,” in the Proceedings of IEEE INFOCOM 2017, Atlanta, Georgia, May 1-4, 2017 (acceptance ratio: 20%).

  • Li Chen, Wei Cui, Baochun Li, Bo Li. “Optimizing Coflow Completion Times with Utility Max-Min Fairness,” in the Proceedings of IEEE INFOCOM 2016, San Francisco, California, April 10-15, 2016 (acceptance ratio: 18%) (Best-in-Session Presentation).

  • Li Chen, Baochun Li, Bo Li. “Barrier-Aware Max-Min Fair Bandwidth Sharing and Path Selection in Datacenter Networks,” in the Proceedings of the 4th IEEE International Conference on Cloud Engineering (IC2E) 2016, Berlin, Germany, April 4-8, 2016 (acceptance ratio: 23%) (Best Paper Candidate).

  • Li Chen, Baochun Li, Bo Li. “Surviving Failures with Performance-Centric Bandwidth Allocation in Private Datacenters,” in the Proceedings of the 4th IEEE International Conference on Cloud Engineering (IC2E) 2016, Berlin, Germany, April 4-8, 2016 (acceptance ratio: 23%).

  • Li Chen, Yuan Feng, Baochun Li, Bo Li. “Towards Performance-Centric Fairness in Datacenter Networks,” in the Proceedings of IEEE INFOCOM 2014, pp. 1599-1607, Toronto, Canada, April 27 — May 2, 2014 (acceptance ratio: 19%).

Journal Articles

  • Jie Lian, Xu Yuan, Jiadong Lou, Li Chen, Hao Wang, Nian-Feng Tzeng. “Room-Scale Location Trace Tracking via Continuous Acoustic Waves,” in ACM Transactions on Sensor Networks, accepted in February 2024.

  • Jie Lian, Changlai Du, Jiadong Lou, Li Chen, Xu Yuan. “EchoSensor: Fine-Grained Ultrasonic Sensing for Smart Home Intrusion Detection,” in ACM Transactions on Sensor Networks, vol. 20, issue 1, no. 10, pp. 1-24, October 2023.

  • Fei Xu, Jianian Xu, Jiabin Chen, Li Chen, Ruitao Shang, Zhi Zhou, Fangming Liu. “iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud,” in IEEE Transactions on Parallel and Distributed Systems, vol. 34, issue 3, pp. 812-827, March 2023.

  • Abeda Sultana, Md. Mainul Haque, Li Chen, Fei Xu, Xu Yuan. “Eiffel: Efficient and Fair Scheduling in Adaptive Federated Learning,” in IEEE Transactions on Parallel and Distributed Systems, vol. 33, issue 12, pp. 4282-4294, December 2022.

  • Jananie Jarachanthan, Li Chen, Fei Xu, Bo Li. “Astrea: Auto-Serverless Analytics towards Cost-Efficiency and QoS-Awareness,” in IEEE Transactions on Parallel and Distributed Systems, vol. 33, issue 12, pp. 3833-3849, December 2022.

  • Li Chen, Shuhao Liu, Baochun Li. “Optimizing Network Transfers for Data Analytic Jobs across Geo-Distributed Datacenters,” in IEEE Transactions on Parallel and Distributed Systems, vol. 33, issue 2, pp. 403-414, February 2022.

  • Fei Xu, Yiling Qin, Li Chen, Zhi Zhou, Fangming Liu. “λDNN: Achieving Predictable Distributed DNN Training with Serverless Architectures,” in IEEE Transactions on Computers, vol. 71, issue 2, pp. 450-463, February 2022.

  • Yeting Guo, Fang Liu, Zhiping Cai, Hui Zeng, Li Chen, Nong Xiao. “PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning,” in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), vol. 5, issue 1, March 2021.

  • Li Chen, Yuan Feng, Baochun Li, Bo Li. “A Case for Pricing Bandwidth: Sharing Datacenter Networks with Cost Dominant Fairness,” in IEEE Transactions on Parallel and Distributed Systems, vol. 32, issue 5, pp. 1256-1269, May 2021.

  • Li Chen, Yuan Feng, Baochun Li, Bo Li. “Promenade: Proportionally Fair Multipath Rate Control in Datacenter Networks with Random Network Coding,” in IEEE Transactions on Parallel and Distributed Systems, vol. 30, issue 11, pp. 2536-2546, November 2019.

  • Li Chen, Shuhao Liu, Baochun Li, Bo Li. “Scheduling Jobs across Geo-Distributed Datacenters with Max-Min Fairness,” in IEEE Transactions on Network Science and Engineering, vol. 6, issue 3, pp. 488-500, July-Sept. 2019.

  • Li Chen, Yuan Feng, Baochun Li, Bo Li. “Efficient Performance-Centric Bandwidth Allocation with Fairness Tradeoff,” in IEEE Transactions on Parallel and Distributed Systems, vol. 29, issue 8, pp. 1693-1706, August 2018.

  • Li Chen, Baochun Li, Bo Li. “Allocating Bandwidth in Datacenter Networks: A Survey,” in Journal of Computer Science and Technology, Springer, vol. 29, no. 5, pp. 910-917, September 2014.

  • Li Chen, Baochun Li, Bo Li. “On Meeting Deadlines in Datacenter Networks,” in Tsinghua Science and Technology, vol. 18, no. 3, pp. 273-285, June 2013.