| 2025 | FAST | AegonKV: A High Bandwidth, Low Tail Latency, and Low Storage Cost KV-Separated LSM Store with SmartSSD-based GC Offloading. | Zhuohui Duan, Hao Feng, Haikun Liu, Xiaofei Liao, Hai Jin, Bangyu Li |
| 2025 | FAST | Towards High-throughput and Low-latency Billion-scale Vector Search via CPU/GPU Collaborative Filtering and Re-ranking. | Bing Tian, Haikun Liu, Yuhang Tang, Shihai Xiao, Zhuohui Duan, Xiaofei Liao, Hai Jin, Xuecang Zhang, Junhua Zhu, Yu Zhang |
| 2025 | NPC | An FPGA-Based Distributed Shared Memory Architecture Supporting CXL 2.0+ Specification. | Xiuhao Huang, Jinge Ding, Haikun Liu, Zhuohui Duan, Xiaofei Liao, Hai Jin |
| 2025 | SC | StraGCN: GPU-Accelerated Strassen's Sparse-Dense Matrix Multiplication for Graph Convolutional Network Training. | Weidong He, Haikun Liu, Zhuohui Duan, Xiaofei Liao, Shuhao Zhang, Fubing Mao, Hai Jin |
| 2025 | USENIX | Towards High-Performance Transactional Stateful Serverless Workflows with Affinity-Aware Leasing. | Jianjun Zhao, Haikun Liu, Shuhao Zhang, Haodi Lu, Yancan Mao, Zhuohui Duan, Xiaofei Liao, Hai Jin |
| 2025 | USENIX | Fast Distributed Transactions for RDMA-based Disaggregated Memory. | Haodi Lu, Haikun Liu, Yujian Zhang, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2024 | DAC | TIGA: Towards Efficient Near Data Processing in SmartNICs-based Disaggregated Memory Systems. | Zhuohui Duan, Zelin Yu, Haikun Liu, Xiaofei Liao, Hai Jin, Shijie Zheng, Sihan Wu |
| 2024 | DAC | CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network. | Hui Yu, Yu Zhang, Ligang He, Donghao He, Qikun Li, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu |
| 2024 | DAC | RTGA: A Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference. | Hui Yu, Yu Zhang, Andong Tan, Chenze Lu, Jin Zhao, Xiaofei Liao, Hai Jin, Haikun Liu |
| 2024 | ICDE | Fast Parallel Recovery for Transactional Stream Processing on Multicores. | Jianjun Zhao, Haikun Liu, Shuhao Zhang, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2024 | MICRO | RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network. | Hui Yu, Yu Zhang, Ligang He, Yingqi Zhao, Xintao Li, Ruida Xin, Jin Zhao, Xiaofei Liao, Haikun Liu, Bingsheng He, Hai Jin |
| 2024 | USENIX | Scalable Billion-point Approximate Nearest Neighbor Search Using SmartSSDs. | Bing Tian, Haikun Liu, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2023 | ASPLOS | Revisiting Log-Structured Merging for KV Stores in Hybrid Memory Systems. | Zhuohui Duan, Jiabo Yao, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2023 | DAC | ACGraph: Accelerating Streaming Graph Processing via Dependence Hierarchy. | Zihan Jiang, Fubing Mao, Yapu Guo, Xu Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Wei Zhang |
| 2023 | DAC | SaGraph: A Similarity-aware Hardware Accelerator for Temporal Graph Processing. | Jin Zhao, Yu Zhang, Jian Cheng, Yiyang Wu, Chuyue Ye, Hui Yu, Zhiying Huang, Hai Jin, Xiaofei Liao, Lin Gu, Haikun Liu |
| 2022 | DAC | CLIMBER: defending phase change memory against inconsistent write attacks. | Zhuohui Duan, Haobo Wang, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao |
| 2022 | DAC | ReGNN: a ReRAM-based heterogeneous architecture for general graph neural networks. | Cong Liu, Haikun Liu, Hai Jin, Xiaofei Liao, Yu Zhang, Zhuohui Duan, Jiahong Xu, Huize Li |
| 2022 | ICA3PP | Efficient Remote Memory Paging for Disaggregated Memory Systems. | Tao Wang, Haikun Liu, Hai Jin |
| 2022 | ISCA | TDGraph: a topology-driven accelerator for high-performance streaming graph processing. | Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu |
| 2022 | ICS | Towards low-latency I/O services for mixed workloads using ultra-low latency SSDs. | Mingzhe Liu, Haikun Liu, Chencheng Ye, Xiaofei Liao, Hai Jin, Yu Zhang, Ran Zheng, Liting Hu |
| 2022 | MASCOTS | Design and Simulation of Multi-tiered Heterogeneous Memory Architecture. | Jinyuan Hu, Haikun Liu, Hai Jin, Xiaofei Liao |
| 2021 | CCGRID | Straggler-Aware Parallel Graph Processing in Hybrid Memory Systems. | Wei Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2021 | CLUSTER | HNGraph: Parallel Graph Processing in Hybrid Memory Based NUMA Systems. | Wei Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2021 | HPCA | DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing. | Yu Zhang, Xiaofei Liao, Hai Jin, Ligang He, Bingsheng He, Haikun Liu, Lin Gu |
| 2021 | ICDCS | Gengar: An RDMA-based Distributed Hybrid Memory Pool. | Zhuohui Duan, Haikun Liu, Haodi Lu, Xiaofei Liao, Hai Jin, Yu Zhang, Bingsheng He |
| 2021 | IWQoS | Eunomia: Efficiently Eliminating Abnormal Results in Distributed Stream Join Systems. | Jie Yuan, Yonghui Wang, Hanhua Chen, Hai Jin, Haikun Liu |
| 2021 | SC | LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing. | Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu |
| 2021 | SC | Hardware-supported remote persistence for distributed persistent memory. | Zhuohui Duan, Haodi Lu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Song Wu |
| 2020 | IWQoS | Towards Lightweight Serverless Computing via Unikernel as a Function. | Bo Tan, Haikun Liu, Jia Rao, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2019 | ASPLOS | DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs. | Yu Zhang, Xiaofei Liao, Hai Jin, Bingsheng He, Haikun Liu, Lin Gu |
| 2019 | ICCD | HiNUMA: NUMA-Aware Data Placement and Migration in Hybrid Memory Systems. | Zhuohui Duan, Haikun Liu, Xiaofei Liao, Hai Jin, Wenbin Jiang, Yu Zhang |
| 2019 | ICDCS | When FPGA-Accelerator Meets Stream Data Processing in the Edge. | Song Wu, Die Hu, Shadi Ibrahim, Hai Jin, Jiang Xiao, Fei Chen, Haikun Liu |
| 2019 | SC | GraphM: an efficient storage system for high throughput of concurrent graph processing. | Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen |
| 2018 | DATE | HME: A lightweight emulator for hybrid memory. | Zhuohui Duan, Haikun Liu, Xiaofei Liao, Hai Jin |
| 2018 | USENIX | CGraph: A Correlations-aware Approach for Efficient Concurrent Iterative Graph Processing. | Yu Zhang, Xiaofei Liao, Hai Jin, Lin Gu, Ligang He, Bingsheng He, Haikun Liu |
| 2017 | DATE | MALRU: Miss-penalty aware LRU-based cache replacement for hybrid memory systems. | Di Chen, Hai Jin, Xiaofei Liao, Haikun Liu, Rentong Guo, Dong Liu |
| 2017 | ICS | Hardware/software cooperative caching for hybrid DRAM/NVM memory architectures. | Haikun Liu, Yujie Chen, Xiaofei Liao, Hai Jin, Bingsheng He, Long Zheng, Rentong Guo |
| 2014 | ICS | Long-term resource fairness: towards economic fairness on pay-as-you-use computing systems. | Shanjiang Tang, Bu-Sung Lee, Bingsheng He, Haikun Liu |
| 2014 | SC | Reciprocal Resource Fairness: Towards Cooperative Multiple-Resource Fair Sharing in IaaS Clouds. | Haikun Liu, Bingsheng He |
| 2012 | CloudCom | Lifetime or energy: Consolidating servers with reliability control in virtualized cloud datacenters. | Wei Deng, Fangming Liu, Hai Jin, Xiaofei Liao, Haikun Liu, Li Chen |
| 2011 | HPDC | Performance and energy modeling for live migration of virtual machines. | Haikun Liu, Cheng-Zhong Xu, Hai Jin, Jiayu Gong, Xiaofei Liao |
| 2009 | HPDC | Live migration of virtual machine based on full system trace and replay. | Haikun Liu, Hai Jin, Xiaofei Liao, Liting Hu, Chen Yu |
| 2009 | NPC | A Virtual Machine Replay System Based on Para-virtualized Xen. | Tao Cui, Hai Jin, Xiaofei Liao, Haikun Liu |
| 2008 | CLUSTER | Magnet: A novel scheduling policy for power reduction in cluster with virtual machines. | Liting Hu, Hai Jin, Xiaofei Liao, Xianjie Xiong, Haikun Liu |