A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures. - Dan Chen 006; Hai Jin 001; Long Zheng 003; Yu Huang 013; Pengcheng Yao; Chuangyi Gui; Qinggang Wang; Haifeng Liu 003; Haiheng He; Xiaofei Liao; Ran Zheng (IPDPS, 2022)

ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks. - Yu Huang 013; Long Zheng 003; Pengcheng Yao; Qinggang Wang; Haifeng Liu 003; Xiaofei Liao; Hai Jin 001; Jingling Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures. - Long Zheng 003; Haifeng Liu 003; Yu Huang 013; Dan Chen 006; Chaoqiang Liu; Haiheng He; Xiaofei Liao; Hai Jin 001; Jingling Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

MeG2: In-Memory Acceleration for Genome Graphs Analysis. - Yu Huang 013; Long Zheng 003; Haifeng Liu 003; Zhuoran Zhou; Dan Chen 006; Pengcheng Yao; Qinggang Wang; Xiaofei Liao; Hai Jin 001 (DAC, 2023)

FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction. - Chaoqiang Liu; Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Xiangyu Ye; Xiaofei Liao; Hai Jin 001 (FPGA, 2023)

AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. - Long Zheng 003; Xiangyu Ye; Haifeng Liu 003; Qinggang Wang; Yu Huang 013; Chuangyi Gui; Pengcheng Yao; Xiaofei Liao; Hai Jin 001; Jingling Xue (ICDE, 2023)

GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models. - Haiheng He; Dan Chen 006; Long Zheng 003; Yu Huang 013; Haifeng Liu 003; Chaoqiang Liu; Xiaofei Liao; Hai Jin 001 (IPDPS, 2023)

Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Chaoqiang Liu; Xiangyu Ye; Jingrui Yuan; Xiaofei Liao; Hai Jin 001; Jingling Xue (ISCA, 2023)

Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Haoyan Huang; Xiaofei Liao; Hai Jin 001 (DAC, 2024)

Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Jingyi Zhou; Chaoqiang Liu; Runze Wang; Xiaofei Liao; Hai Jin 001; Jingling Xue (ISCA, 2024)

Minimal Context-Switching Data Race Detection with Dataflow Tracking. - Long Zheng 003; Yang Li; Jie Xin; Haifeng Liu 003; Ran Zheng; Xiaofei Liao; Hai Jin 001 (J. Comput. Sci. Technol., 2024)

An Efficient GCNs Accelerator Using 3D-Stacked Processing-in-Memory Architectures. - Runze Wang; Ao Hu; Long Zheng 003; Qinggang Wang; Jingrui Yuan; Haifeng Liu 003; Linchen Yu; Xiaofei Liao; Hai Jin 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

L-FNNG: Accelerating Large-Scale KNN Graph Construction on CPU-FPGA Heterogeneous Platform. - Chaoqiang Liu; Xiaofei Liao; Long Zheng 003; Yu Huang 013; Haifeng Liu 003; Yi Zhang 004; Haiheng He; Haoyan Huang; Jingyi Zhou; Hai Jin 001 (ACM Trans. Reconfigurable Technol. Syst., 2024)

MetaHG: Enhancing HGNN Systems Leveraging Advanced Metapath Graph Abstraction. - Haiheng He; Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Xinyang Shen; Wenkan Huang; Shuaihu Cao; Xiaofei Liao; Hai Jin 001; Jingling Xue (EuroSys, 2025)

MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows. - Wenju Zhao; Pengcheng Yao; Dan Chen 006; Long Zheng 003; Xiaofei Liao; Qinggang Wang; Shaobo Ma; Yu Li; Haifeng Liu 003; Wenjing Xiao; Yufei Sun; Bing Zhu; et al. (HPCA, 2025)

HeterRAG: Heterogeneous Processing-in-Memory Acceleration for Retrieval-augmented Generation. - Chaoqiang Liu; Haifeng Liu 003; Dan Chen 006; Yu Huang 013; Yi Zhang 004; Wenjing Xiao; Xiaofei Liao; Hai Jin 001 (ISCA, 2025)