Publications
2023
- AAAIDeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods AwarenessIn Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI) 2023
- AAAIFedALA: Adaptive Local Aggregation for Personalized Federated LearningIn Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI) 2023
- AsiaCCSData Privacy Examination against Semi-Supervised LearningIn the 18th ACM ASIA Conference on Computer and Communications Security 2023
- IISEAnalysis of Decoding Strategies for Transformer-Based Solution of Multi-Depot Vehicle Routing ProblemsIn the Institute of Industrial and Systems Engineers Annual Conference & Expo 2023
- HPDCLibra: Harvesting Idle Resources Safely and Timely in Serverless ClustersIn Proceedings of the International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2023
- TALLIPWH2D2N2: Distributed AI-Enabled OK-ASN Service for Web of ThingsThe ACM Transactions on Asian and Low-Resource Language Information Processing 2023
- KDDCriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated LearningIn Proceedings of the ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2023
- KDDFedCP: Separating Feature Information for Personalized Federated Learning via Conditional PolicyIn Proceedings of the ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2023
2022
- AAAIImproving Bayesian Neural Networks by Adversarial SamplingIn Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022
- AAAISeizing Critical Learning Periods in Federated LearningIn Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022
- TOMMRobust Searching-based Gradient Collaborative Management in Intelligent Transportation SystemACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 2022
2021
- IJCAIThemis: A Fair Evaluation Platform for Computer Vision CompetitionsIn the 30th International Joint Conference on Artificial Intelligence 2021
- Network
- ACSOSFaaSRank: Learning to Schedule Functions in Serverless PlatformsIn IEEE International Conference on Autonomic Computing and Self-Organizing Systems 2021
- ICCVSelf-Supervised Vessel Segmentation via Adversarial LearningIn International Conference on Computer Vision 2021
2020
- TPDSTurbo: Dynamic and Decentralized Global Analytics via Machine LearningIEEE Transactions on Parallel and Distributed Systems 2020
- Thesis
2019
2018
- TNSEMitigating Bottlenecks in Wide Area Data Analytics via Machine LearningIEEE Transactions on Network Science and Engineering 2018
2017
- ToNPias: Practical information-agnostic flow scheduling for commodity data centersIEEE/ACM Transactions on Networking 2017
- ICDCSOptimizing Shuffle in Wide-area Data AnalyticsIn IEEE 37th International Conference on Distributed Computing Systems (ICDCS) 2017
2016
- ToNGuaranteeing deadlines for inter-data center transfersIEEE/ACM Transactions on Networking 2016
2015
- NSDIExplicit path control in commodity data centers: Design and applicationsIn 12th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 15) 2015
- NSDIInformation-agnostic flow scheduling for commodity data centersIn 12th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 15) 2015
- ToNTowards comprehensive traffic forecasting in cloud computing: Design and applicationIEEE/ACM Transactions on Networking 2015