| 2026 | EuroSys | High Throughput and Low Latency LLM Serving via Adaptive KV Caching. | Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, ChengZhong Xu |
| 2026 | HPDC | Cremes: Cost-Efficient and Reliable Microservice Execution on Spot Instances. | Liao Chen, Chenyu Lin, Junlin Chen, Shutian Luo, Huanle Xu, ChengZhong Xu |
| 2026 | INFOCOM | FedSUV: Validity and Utility-guided Client Selection for Federated Learning. | Xiaosong Chen, Wenyan Chen, Yuanhang Chen, Huanle Xu |
| 2025 | AAAI | FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks. | Da Sun Handason Tam, Huanle Xu, Yang Liu, Siyue Xie, Wing Cheong Lau |
| 2025 | ASPLOS | Embracing Imbalance: Dynamic Load Shifting among Microservice Containers in Shared Clusters. | Shutian Luo, Jianxiong Liao, Chenyu Lin, Huanle Xu, Zhi Zhou, Chengzhong Xu |
| 2025 | CLOUD | FedDance: Efficient Participant Selection for Federated Learning in Highly Dynamic Environments. | Yuanhang Chen, Xiaosong Chen, Wenyan Chen, Huanle Xu |
| 2025 | EuroSys | Multiplexing Dynamic Deep Learning Workloads with SLO-awareness in GPU Clusters. | Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, Chengzhong Xu |
| 2025 | HPCA | Grad: Intelligent Microservice Scaling by Harnessing Resource Fungibility. | Liao Chen, Chenyu Lin, Shutian Luo, Huanle Xu, Chengzhong Xu |
| 2025 | ICS | Fast and Fair Training for Deep Learning in Heterogeneous GPU Clusters. | Zizhao Mo, Huanle Xu, Wing Cheong Lau |
| 2025 | SC | Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism. | Zizhao Mo, Jianxiong Liao, Huanle Xu, Zhi Zhou, Chengzhong Xu |
| 2024 | ASPLOS | Heet: Accelerating Elastic Training in Heterogeneous Deep Learning Clusters. | Zizhao Mo, Huanle Xu, Chengzhong Xu |
| 2024 | ISCA | Derm: SLA-aware Resource Management for Highly Dynamic Microservices. | Liao Chen, Shutian Luo, Chenyu Lin, Zizhao Mo, Huanle Xu, Kejiang Ye, ChengZhong Xu |
| 2024 | Middleware | Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters. | Zizhao Mo, Huanle Xu, Wing Cheong Lau |
| 2024 | SC | SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing. | Chengzhi Lu, Huanle Xu, Yudan Li, Wenyan Chen, Kejiang Ye, Chengzhong Xu |
| 2024 | SPAA | Optimizing Dynamic Data Center Provisioning through Speed Scaling: A Primal-Dual Perspective. | Xiaosong Chen, Huanle Xu, ChengZhong Xu |
| 2023 | ASPLOS | Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees. | Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, Chengzhong Xu |
| 2023 | EuroSys | Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms. | Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu |
| 2023 | KDD | PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks. | Da Sun Handason Tam, Yang Liu, Huanle Xu, Siyue Xie, Wing Cheong Lau |
| 2023 | SC | Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach. | Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu |
| 2022 | CLOUD | The power of prediction: microservice auto scaling via workload learning. | Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu |
| 2022 | ICPP | Online Resource Optimization for Elastic Stream Processing with Regret Guarantee. | Yang Liu, Huanle Xu, Wing Cheong Lau |
| 2022 | ICPP | Multi Resource Scheduling with Task Cloning in Heterogeneous Clusters. | Huanle Xu, Yang Liu, Wing Cheong Lau |
| 2021 | CLOUD | Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis. | Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, Chengzhong Xu |
| 2020 | ICDCS | Accordia: Adaptive Cloud Configuration Optimization for Recurring Data-Intensive Applications. | Yang Liu, Huanle Xu, Wing Cheong Lau |
| 2020 | IJCAI | Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints. | Huanle Xu, Yang Liu, Wing Cheong Lau, Rui Li |
| 2019 | CLOUD | Accordia: Adaptive Cloud Configuration Optimization for Recurring Data-Intensive Applications. | Yang Liu, Huanle Xu, Wing Cheong Lau |
| 2019 | ICDE | Insecurity and Hardness of Nearest Neighbor Queries Over Encrypted Data. | Rui Li, Alex X. Liu, Ying Liu, Huanle Xu, Huaqiang Yuan |
| 2019 | INFOCOM | Online Job Scheduling with Resource Packing on a Cluster of Heterogeneous Servers. | Yang Liu, Huanle Xu, Wing Cheong Lau |
| 2019 | INFOCOM | Efficient Online Resource Allocation in Heterogeneous Clusters with Machine Variability. | Huanle Xu, Yang Liu, Wing Cheong Lau, Jun Guo, Alex X. Liu |
| 2017 | INFOCOM | Addressing job processing variability through redundant execution and opportunistic checkpointing: A competitive analysis. | Huanle Xu, Gustavo de Veciana, Wing Cheong Lau |
| 2015 | ICA3PP | Solving Large Graph Problems in MapReduce-Like Frameworks via Optimized Parameter Configuration. | Huanle Xu, Ronghai Yang, Zhibo Yang, Wing Cheong Lau |
| 2015 | ICDCS | Task-Cloning Algorithms in a MapReduce Cluster with Competitive Performance Bounds. | Huanle Xu, Wing Cheong Lau |
| 2015 | INFOCOM | DPCP: A protocol for optimal pull coordination in decentralized social networks. | Huanle Xu, Pili Hu, Wing Cheong Lau, Qiming Zhang, Yang Wu |
| 2015 | INFOCOM | Optimization for speculative execution in a MapReduce-like cluster. | Huanle Xu, Wing Cheong Lau |
| 2014 | ISIT | Regenerating codes over a binary cyclic code. | Kenneth W. Shum, Hanxu Hou, Minghua Chen, Huanle Xu, Hui Li |
| 2013 | ICNP | Resource optimization for speculative execution in a MapReduce Cluster. | Huanle Xu, Wing Cheong Lau |