DDASTM: Ensuring Conflict Serializability Efficiently in Distributed STM. - Yu Zhang 027; Hai Jin 001; Xiaofei Liao (GPC, 2013)

Improving disk I/O performance in a virtualized system. - Dingding Li; Hai Jin 001; Xiaofei Liao; Yu Zhang 027; Bing Bing Zhou (J. Comput. Syst. Sci., 2013)

An Adaptive Task Granularity Based Scheduling for Task-centric Parallelism. - Jianmin Bi; Xiaofei Liao; Yu Zhang 027; Chencheng Ye 001; Hai Jin 001; Laurence T. Yang (HPCC/CSS/ICESS, 2014)

Accelerating the Massive VMs Booting Up. - Dayang Zheng; Hai Jin 001; Xiaofei Liao; Yu Zhang 027 (HPCC/CSS/ICESS, 2014)

esDMT: Efficient and scalable deterministic multithreading through memory isolation. - Jie Sun; Xiaofei Liao; Long Zheng 003; Hai Jin 001; Yu Zhang 027 (ICPADS, 2014)

An adaptive switching scheme for iterative computing in the cloud. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Li Lin 001; Feng Lu 003 (Frontiers Comput. Sci., 2014)

AsyIter: tolerating computational skew of synchronous iterative applications via computing decomposition. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Bing Bing Zhou (Knowl. Inf. Syst., 2014)

Is Your Graph Algorithm Eligible for Nondeterministic Execution? - Zhiyuan Shao; Lin Hou; Yan Ai; Yu Zhang 027; Hai Jin 001 (ICPP, 2015)

A novel memory allocation scheme for memory energy reduction in virtualization environment. - Xiaofei Liao; Hai Jin 001; Shizhan Yu; Yu Zhang 027 (J. Comput. Syst. Sci., 2015)

Resisting Skew-Accumulation for Time-Stepped Applications in the Cloud via Exploiting Parallelism. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Geyong Min (IEEE Trans. Cloud Comput., 2015)

Inc-Part: Incremental Partitioning for Load Balancing in Large-Scale Behavioral Simulations. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Guang Tan; Geyong Min (IEEE Trans. Parallel Distributed Syst., 2015)

Automatically Setting Parameter-Exchanging Interval for Deep Learning. - Siyuan Wang; Xiaofei Liao; Xuepeng Fan; Hai Jin 001; Qiongjie Yao; Yu Zhang 027 (Mob. Networks Appl., 2017)

FRANK: A Fast Node Ranking Approach in Large-Scale Networks. - Yu Zhang 027; Lin Gu 002; Xiaofei Liao; Hai Jin 001; Deze Zeng; Bing Bing Zhou (IEEE Netw., 2017)

HotGraph: Efficient Asynchronous Processing for Real-World Graphs. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Guang Tan; Bing Bing Zhou (IEEE Trans. Computers, 2017)

SAE: Toward Efficient Cloud Data Analysis Service for Large-Scale Social Networks. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Guang Tan (IEEE Trans. Cloud Comput., 2017)

PNPFI: An Efficient Parallel Frequent Itemsets Mining Algorithm. - Fang Zhang; Yu Zhang 027; Xiaofei Liao; Hai Jin 001 (CSCWD, 2018)

CGraph: A Correlations-aware Approach for Efficient Concurrent Iterative Graph Processing. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Ligang He; Bingsheng He; Haikun Liu (USENIX ATC, 2018)

FBSGraph: Accelerating Asynchronous Graph Processing via Forward and Backward Sweeping. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Bing Bing Zhou (IEEE Trans. Knowl. Data Eng., 2018)

Efficient Disk-Based Directed Graph Processing: A Strongly Connected Component Approach. - Yu Zhang 027; Xiaofei Liao; Xiang Shi; Hai Jin 001; Bingsheng He (IEEE Trans. Parallel Distributed Syst., 2018)

DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Bingsheng He; Haikun Liu; Lin Gu 002 (ASPLOS, 2019)

HiNUMA: NUMA-Aware Data Placement and Migration in Hybrid Memory Systems. - Zhuohui Duan; Haikun Liu; Xiaofei Liao; Hai Jin 001; Wenbin Jiang 001; Yu Zhang 027 (ICCD, 2019)

GraphM: an efficient storage system for high throughput of concurrent graph processing. - Jin Zhao 003; Yu Zhang 027; Xiaofei Liao; Ligang He; Bingsheng He; Hai Jin 001; Haikun Liu; Yicheng Chen (SC, 2019)

Modeling of Mixing Uniformity for Food With Special Medicinal Purposes Based on Chinese Herbal Medicine. - Ke Han; Lei Zhang 008; Ying Wang 001; Miao Wang; Mian Guo; Huan Li; Yu Zhang 027; Ming Zhao; Qian Zhao; Chunyu Wang; Rui Zhang 040 (IEEE Access, 2019)

Echo: An Edge-Centric Code Offloading System With Quality of Service Guarantee. - Li Lin 001; Peng Li 017; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (IEEE Access, 2019)

NGraph: Parallel Graph Processing in Hybrid Memory Systems. - Wei Liu 004; Haikun Liu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (IEEE Access, 2019)

An effective framework for asynchronous incremental graph processing. - Xinqiao Lv; Wei Xiao; Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Qiang-Sheng Hua (Frontiers Comput. Sci., 2019)

Energy efficient task allocation and energy scheduling in green energy powered edge computing. - Lin Gu 002; Jingjing Cai; Deze Zeng; Yu Zhang 027; Hai Jin 001; Weiqi Dai (Future Gener. Comput. Syst., 2019)

Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems. - Xiaoyuan Wang; Haikun Liu; Xiaofei Liao; Ji Chen; Hai Jin 001; Yu Zhang 027; Long Zheng 003; Bingsheng He; Song Jiang 001 (ACM Trans. Archit. Code Optim., 2019)

CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs. - Yu Zhang 027; Jin Zhao 003; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu; Bingsheng He; Ligang He (ACM Trans. Storage, 2019)

Towards Lightweight Serverless Computing via Unikernel as a Function. - Bo Tan; Haikun Liu; Jia Rao; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (IWQoS, 2020)

TLB Coalescing for Multi-Grained Page Migration in Hybrid Memory Systems. - Xiaoyuan Wang; Haikun Liu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (IEEE Access, 2020)

Dynamic cluster strategy for hierarchical rollback-recovery protocols in MPI HPC applications. - Xiaofei Liao; Long Zheng 003; Binsheng Zhang; Yu Zhang 027; Hai Jin 001; Xuanhua Shi; Yi Lin (Concurr. Comput. Pract. Exp., 2020)

A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions. - Haikun Liu; Di Chen; Hai Jin 001; Xiaofei Liao; Bingsheng He; Kan Hu; Yu Zhang 027 (CoRR, 2020)

AsynGraph: Maximizing Data Parallelism for Efficient Iterative Graph Processing on GPUs. - Yu Zhang 027; Xiaofei Liao; Lin Gu 002; Hai Jin 001; Kan Hu; Haikun Liu; Bingsheng He (ACM Trans. Archit. Code Optim., 2020)

Object-Level Memory Allocation and Migration in Hybrid Memory Systems. - Haikun Liu; Renshan Liu; Xiaofei Liao; Hai Jin 001; Bingsheng He; Yu Zhang 027 (IEEE Trans. Computers, 2020)

Miss Penalty Aware Cache Replacement for Hybrid Memory Systems. - Hai Jin 001; Di Chen; Haikun Liu; Xiaofei Liao; Rentong Guo; Yu Zhang 027 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Hotspot-Aware Hybrid Memory Management for In-Memory Key-Value Stores. - Hai Jin 001; Zhiwei Li; Haikun Liu; Xiaofei Liao; Yu Zhang 027 (IEEE Trans. Parallel Distributed Syst., 2020)

Straggler-Aware Parallel Graph Processing in Hybrid Memory Systems. - Wei Liu 004; Haikun Liu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (CCGRID, 2021)

HNGraph: Parallel Graph Processing in Hybrid Memory Based NUMA Systems. - Wei Liu 004; Haikun Liu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (CLUSTER, 2021)

DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Ligang He; Bingsheng He; Haikun Liu; Lin Gu 002 (HPCA, 2021)

Gengar: An RDMA-based Distributed Hybrid Memory Pool. - Zhuohui Duan; Haikun Liu; Haodi Lu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027; Bingsheng He (ICDCS, 2021)

Research on RNA Secondary Structure Prediction Based on MLP. - Weizhong Lu; Xiaoyi Chen; Yu Zhang 027; Hongjie Wu; Jiawei Shen; Nan Zhou; Yijie Ding (ICIC (3), 2021)

LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing. - Jin Zhao 003; Yu Zhang 027; Xiaofei Liao; Ligang He; Bingsheng He; Hai Jin 001; Haikun Liu (SC, 2021)

Hardware-supported remote persistence for distributed persistent memory. - Zhuohui Duan; Haodi Lu; Haikun Liu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027; Song Wu 001 (SC, 2021)

Research on RNA secondary structure predicting via bidirectional recurrent neural network. - Weizhong Lu; Yan Cao; Hongjie Wu; Yijie Ding; Zhengwei Song; Yu Zhang 027; Qiming Fu 001; Haiou Li (BMC Bioinform., 2021)

HMvisor: dynamic hybrid memory management for virtual machines. - Dang Yang; Haikun Liu; Hai Jin 001; Yu Zhang 027 (Sci. China Inf. Sci., 2021)

A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions. - Haikun Liu; Di Chen; Hai Jin 001; Xiaofei Liao; Binsheng He; Kan Hu; Yu Zhang 027 (J. Comput. Sci. Technol., 2021)

Editorial: Collaborative Next Generation Networking. - Zhangbing Zhou; Takahiro Hara; Deze Zeng; Yu Zhang 027; Chunsheng Zhu (Mob. Networks Appl., 2021)

LargeGraph: An Efficient Dependency-Aware GPU-Accelerated Large-Scale Graph Processing. - Yu Zhang 027; Da Peng; Xiaofei Liao; Hai Jin 001; Haikun Liu; Lin Gu 002; Bingsheng He (ACM Trans. Archit. Code Optim., 2021)

CLIMBER: defending phase change memory against inconsistent write attacks. - Zhuohui Duan; Haobo Wang; Haikun Liu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027; Fubing Mao (DAC, 2022)

ReGNN: a ReRAM-based heterogeneous architecture for general graph neural networks. - Cong Liu 028; Haikun Liu; Hai Jin 001; Xiaofei Liao; Yu Zhang 027; Zhuohui Duan; Jiahong Xu; Huize Li (DAC, 2022)

DOE: Database Offloading Engine for Accelerating SQL Processing. - Wenyan Lu; Yan Chen; Jingya Wu; Yu Zhang 027; Xiaowei Li 001; Guihai Yan (ICDE Workshops, 2022)

Towards low-latency I/O services for mixed workloads using ultra-low latency SSDs. - Mingzhe Liu; Haikun Liu; Chencheng Ye 001; Xiaofei Liao; Hai Jin 001; Yu Zhang 027; Ran Zheng; Liting Hu (ICS, 2022)

TDGraph: a topology-driven accelerator for high-performance streaming graph processing. - Jin Zhao 003; Yun Yang 001; Yu Zhang 027; Xiaofei Liao; Lin Gu 002; Ligang He; Bingsheng He; Hai Jin 001; Haikun Liu; Xinyu Jiang; Hui Yu (ISCA, 2022)

GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction. - Zixiao Wang 005; Yuluo Guo; Jin Zhao 003; Yu Zhang 027; Hui Yu; Xiaofei Liao; Hai Jin 001; Biao Wang; Ting Yu (CoRR, 2022)

Toward High-Performance Delta-Based Iterative Processing with a Group-Based Approach. - Hui Yu; Xinyu Jiang; Jin Zhao 003; Hao Qi 004; Yu Zhang 027; Xiaofei Liao; Haikun Liu; Fubing Mao; Hai Jin 001 (J. Comput. Sci. Technol., 2022)

GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing. - Beibei Si; Yuxuan Liang; Jin Zhao 003; Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Haikun Liu; Lin Gu 002 (IEEE Trans. Big Data, 2022)

A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing. - Xiaofei Liao; Jin Zhao 003; Yu Zhang 027; Bingsheng He; Ligang He; Hai Jin 001; Lin Gu 002 (IEEE Trans. Computers, 2022)

A Simulation Framework for Memristor-Based Heterogeneous Computing Architectures. - Haikun Liu; Jiahong Xu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027; Fubing Mao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Revisiting Log-Structured Merging for KV Stores in Hybrid Memory Systems. - Zhuohui Duan; Jiabo Yao; Haikun Liu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (ASPLOS (2), 2023)

PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining. - Hao Qi 004; Yu Zhang 027; Ligang He; Kang Luo; Jun Huang; Haoyu Lu; Jin Zhao 003; Hai Jin 001 (DAC, 2023)

SaGraph: A Similarity-aware Hardware Accelerator for Temporal Graph Processing. - Jin Zhao 003; Yu Zhang 027; Jian Cheng; Yiyang Wu; Chuyue Ye; Hui Yu; Zhiying Huang; Hai Jin 001; Xiaofei Liao; Lin Gu 002; Haikun Liu (DAC, 2023)

CompressStreamDB: Fine-Grained Adaptive Stream Processing without Decompression. - Yu Zhang 027; Feng Zhang 007; Hourun Li; Shuhao Zhang 001; Xiaoyong Du 001 (ICDE, 2023)

Software-Defined, Fast and Strongly-Consistent Data Replication for RDMA-Based PM Datastores. - Haodi Lu; Haikun Liu; Chencheng Ye 001; Xiaofei Liao; Fubing Mao; Yu Zhang 027; Hai Jin 001 (IPDPS, 2023)

A Spatial-Constraint Model for Manipulating Static Visualizations. - Can Liu 004; Yu Zhang 027; Cong Wu 004; Chen Li; Xiaoru Yuan (CoRR, 2023)

FlatProxy: A DPU-centric Service Mesh Architecture for Hyperscale Cloud-native Application. - Ming Li; Wenyan Lu; Hanyue Lin; Jingya Wu; Yu Zhang 027; Guihai Yan (CoRR, 2023)

Graph for Science: From API based Programming to Graph Engine based Programming for HPC. - Yu Zhang 027; Zixiao Wang 005; Jin Zhao 003; Yuluo Guo; Hai Jin 001; Hui Yu; Zhiying Huang; Xuanhua Shi; Xiaofei Liao (CoRR, 2023)

Prediction of drug-target interactions via neural tangent kernel extraction feature matrix factorization model. - Yu Wang; Yu Zhang 027; Jianchun Wang; Fang Xie; Dequan Zheng; Xiang Zou; Mian Guo; Yijie Ding; Jie Wan; Ke Han (Comput. Biol. Medicine, 2023)

EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing. - Yu Zhang 027; Yuxuan Liang; Jin Zhao 003; Fubing Mao; Lin Gu 002; Xiaofei Liao; Hai Jin 001; Haikun Liu; Song Guo 001; Yangqing Zeng; Hang Hu 018; Chen Li; et al. (IEEE Trans. Knowl. Data Eng., 2023)

DOE: database offloading engine for accelerating SQL processing. - Hao Kong; Wenyan Lu; Yan Chen; Jingya Wu; Yu Zhang 027; Guihai Yan; Xiaowei Li 001 (Distributed Parallel Databases, 2023)

GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. - Jin Zhao 003; Yu Zhang 027; Ligang He; Qikun Li; Xiang Zhang; Xinyu Jiang; Hui Yu; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu; Bingsheng He; et al. (ACM Trans. Archit. Code Optim., 2023)

Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump. - Xiaozhong Jin; Haikun Liu; Chencheng Ye 001; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (IEEE Trans. Parallel Distributed Syst., 2023)

A Compilation Tool for Computation Offloading in ReRAM-based CIM Architectures. - Hai Jin 001; Bo Lei; Haikun Liu; Xiaofei Liao; Zhuohui Duan; Chencheng Ye 001; Yu Zhang 027 (ACM Trans. Archit. Code Optim., 2023)

RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network. - Hui Yu; Yu Zhang 027; Jin Zhao 003; Yujian Liao; Zhiying Huang; Donghao He; Lin Gu 002; Hai Jin 001; Xiaofei Liao; Haikun Liu; Bingsheng He; Jianhui Yue (ACM Trans. Archit. Code Optim., 2023)

CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network. - Hui Yu; Yu Zhang 027; Ligang He; Donghao He; Qikun Li; Jin Zhao 003; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu (DAC, 2024)

RTGA: A Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference. - Hui Yu; Yu Zhang 027; Andong Tan; Chenze Lu; Jin Zhao 003; Xiaofei Liao; Hai Jin 001; Haikun Liu (DAC, 2024)

LSGraph: A Locality-centric High-performance Streaming Graph Engine. - Hao Qi 004; Yiyang Wu; Ligang He; Yu Zhang 027; Kang Luo; Minzhi Cai; Hai Jin 001; Zhan Zhang 003; Jin Zhao 003 (EuroSys, 2024)

Fast Parallel Recovery for Transactional Stream Processing on Multicores. - Jianjun Zhao 003; Haikun Liu; Shuhao Zhang 001; Zhuohui Duan; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (ICDE, 2024)

RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network. - Hui Yu; Yu Zhang 027; Ligang He; Yingqi Zhao; Xintao Li; Ruida Xin; Jin Zhao 003; Xiaofei Liao; Haikun Liu; Bingsheng He; Hai Jin 001 (MICRO, 2024)

Scalable Billion-point Approximate Nearest Neighbor Search Using SmartSSDs. - Bing Tian; Haikun Liu; Zhuohui Duan; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (USENIX ATC, 2024)

High-Order Fusion Graph Contrastive Learning for Recommendation. - Yu Zhang 027; Lei Sang 001; Yi Zhang 103; Yiwen Zhang 001 (CoRR, 2024)

FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search. - Bing Tian; Haikun Liu; Yuhang Tang; Shihai Xiao; Zhuohui Duan; Xiaofei Liao; Xuecang Zhang; Junhua Zhu; Yu Zhang 027 (CoRR, 2024)

MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug-target interaction. - Yu Zhang 027; Qian Liao; Prayag Tiwari; Ying Chu; Yu Wang; Yi Ding; Xianyi Zhao; Jie Wan; Yijie Ding; Ke Han (Future Gener. Comput. Syst., 2024)

Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective. - Xiaofei Liao; Wenju Zhao; Hai Jin 001; Pengcheng Yao; Yu Huang 013; Qinggang Wang; Jin Zhao 003; Long Zheng 003; Yu Zhang 027; Zhiyuan Shao (J. Comput. Sci. Technol., 2024)

FPGA-based acceleration architecture for Apache Spark operators. - Yuanwei Sun; Haikun Liu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (CCF Trans. High Perform. Comput., 2024)

Improving Graph Compression for Efficient Resource-Constrained Graph Analytics. - Qian Xu; Juan Yang 018; Feng Zhang 007; Zheng Chen 001; Jiawei Guan; Kang Chen; Ju Fan; Youren Shen; Ke Yang; Yu Zhang 027; Xiaoyong Du 001 (Proc. VLDB Endow., 2024)

I/O Causality Based In-Line Data Deduplication for Non-Volatile Memory Enabled Storage Systems. - Haikun Liu; Xiaozhong Jin; Chencheng Ye 001; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (IEEE Trans. Computers, 2024)

Dual-Side Adversarial Learning Based Fair Recommendation for Sensitive Attribute Filtering. - Shenghao Liu; Yu Zhang 027; Lingzhi Yi; Xianjun Deng; Laurence T. Yang; Bang Wang 001 (ACM Trans. Knowl. Discov. Data, 2024)

ReHarvest: An ADC Resource-Harvesting Crossbar Architecture for ReRAM-Based DNN Accelerators. - Jiahong Xu; Haikun Liu; Zhuohui Duan; Xiaofei Liao; Hai Jin 001; Xiaokang Yang 004; Huize Li; Cong Liu 028; Fubing Mao; Yu Zhang 027 (ACM Trans. Archit. Code Optim., 2024)

Data-Aware Adaptive Compression for Stream Processing. - Yu Zhang 027; Feng Zhang 007; Hourun Li; Shuhao Zhang 001; Xiaoguang Guo; Yuxing Chen; Anqun Pan; Xiaoyong Du 001 (IEEE Trans. Knowl. Data Eng., 2024)

PMGraph: Accelerating Concurrent Graph Queries over Streaming Graphs. - Fubing Mao; Xu Liu; Yu Zhang 027; Haikun Liu; Xiaofei Liao; Hai Jin 001; Wei Zhang 012; Jian Zhou; Yufei Wu 024; Longyu Nie; Yapu Guo; Zihan Jiang; et al. (ACM Trans. Archit. Code Optim., 2024)

NaFV-Net: An Adversarial Four-view Network for Mammogram Classification. - Feng Lu 003; Yuxiang Hou; Wei Li 058; Xiangying Yang; Haibo Zheng; Wenxi Luo; Leqing Chen; Yuyang Cao; Xiaofei Liao; Yu Zhang 027; Fan Yang 024; Albert Y. Zomaya; et al. (AAAI, 2025)

OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining. - Hao Qi 004; Kang Luo; Ligang He; Yu Zhang 027; Minzhi Cai; Jingxin Dai; Bingsheng He; Hai Jin 001; Zhan Zhang 003; Jin Zhao 003; Hengshan Yue; Hui Yu; et al. (EuroSys, 2025)

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 001; Xuecang Zhang; Junhua Zhu; Yu Zhang 027 (FAST, 2025)

FrontOrder: Frontier-Guided Graph Reordering. - Xinmiao Zhang 004; Cheng Liu 008; Shengwen Liang; Chenwei Xiong; Yu Zhang 027; Lei Zhang 008; Huawei Li 001; Xiaowei Li 001 (ICDE, 2025)

Frontier-guided Graph Reordering. - Xinmiao Zhang 004; Cheng Liu 008; Shengwen Liang; Chenwei Xiong; Yu Zhang 027; Lei Zhang 008; Huawei Li 001; Xiaowei Li 001 (PPoPP, 2025)

Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering. - Yu Zhang 027; Yiwen Zhang 001; Yi Zhang 103; Lei Sang 001; Yun Yang 001 (SIGIR, 2025)

Fast Distributed Transactions for RDMA-based Disaggregated Memory. - Haodi Lu; Haikun Liu; Yujian Zhang; Zhuohui Duan; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (USENIX ATC, 2025)

Towards similar alignment and unique uniformity in collaborative filtering. - Lei Sang 001; Yu Zhang 027; Yi Zhang 103; Honghao Li; Yiwen Zhang 001 (Expert Syst. Appl., 2025)

A ReRAM-Based Processing-In-Memory Architecture for Hyperdimensional Computing. - Cong Liu 028; Kaibo Wu; Haikun Liu; Hai Jin 001; Xiaofei Liao; Zhuohui Duan; Jiahong Xu; Huize Li; Yu Zhang 027; Jing Yang 051 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

An Efficient ReRAM-based Accelerator for Asynchronous Iterative Graph Processing. - Jin Zhao 003; Yu Zhang 027; Donghao He; Qikun Li; Weihang Yin; Hui Yu; Hao Qi 004; Xiaofei Liao; Hai Jin 001; Haikun Liu; Linchen Yu; Zhan Zhang 003 (ACM Trans. Archit. Code Optim., 2025)