An Efficient Hardware Prefetcher Exploiting the Prefetch Potential of Long-Stride Access Pattern on Virtual Address. - Teng Tian; Tianqi Wang; Xi Jin 002 (ISPA/IUCC, 2017)

An efficient resource-optimized learning prefetcher for solid state drives. - Rui Xu; Xi Jin 002; Linfeng Tao; Shuaizhi Guo; Zikun Xiang; Teng Tian (DATE, 2018)

Modified Method for Orbit Relative Reachable Domain with State Uncertainties. - Hao Shi; Teng Tian; Xiaoxiao Zhao; Yujie Xiao (ICCSIP (1), 2018)

RP-Ring: A Heterogeneous Multi-FPGA Accelerator. - Shuaizhi Guo; Tianqi Wang; Linfeng Tao; Teng Tian; Zikun Xiang; Xi Jin 002 (Int. J. Reconfigurable Comput., 2018)

CINT - An Energy-efficient Mixed-signal In-Memory CNN Accelerator Based on NOR Flash Memory. - Linfeng Tao; Rui Xu; Teng Tian; Zikun Xiang; Yifei Li; Xi Jin 002; Jun Ren; Zhengda Li; Chenxia Li (MobiSys, 2019)

Exploration of Memory Access Optimization for FPGA-based 3D CNN Accelerator. - Teng Tian; Xi Jin 002; Letian Zhao; Xiaotian Wang; Jie Wang; Wei Wu (DATE, 2020)

BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training. - Letian Zhao; Rui Xu; Tianqi Wang; Teng Tian; Xiaotian Wang; Wei Wu; Chio-in Ieong; Xi Jin 002 (CoRR, 2020)

Software-Hardware Co-Optimization on Partial-Sum Problem for PIM-based Neural Network Accelerator. - Qizhe Wu; Linfeng Tao; Huawen Liang; Wei Yuan 006; Teng Tian; Shuang Xue; Xi Jin 002 (HPEC, 2021)

Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning. - Fangfang Yuan; Teng Tian; Yanmin Shang; Yuhai Lu; Yanbing Liu; Jianlong Tan (ICONIP (4), 2021)

A Gather Accelerator for GNNs on FPGA Platform. - Wei Yuan 006; Teng Tian; Huawen Liang; Xi Jin 002 (ICPADS, 2021)

An SSD-Based Accelerator for Singular Value Decomposition Recommendation Algorithm on Edge. - Wei Wu; Letian Zhao; Qizhe Wu; Xiaotian Wang; Teng Tian; Xi Jin 002 (HPEC, 2022)

HuGraph: Acceleration of GCN Training on Heterogeneous FPGA Clusters with Quantization. - Letian Zhao; Qizhe Wu; Xiaotian Wang; Teng Tian; Wei Wu; Xi Jin 002 (HPEC, 2022)

FP-GNN: Adaptive FPGA accelerator for Graph Neural Networks. - Teng Tian; Letian Zhao; Xiaotian Wang; Qizhe Wu; Wei Yuan 006; Xi Jin 002 (Future Gener. Comput. Syst., 2022)

G-NMP: Accelerating Graph Neural Networks with DIMM-based Near-Memory Processing. - Teng Tian; Xiaotian Wang; Letian Zhao; Wei Wu; Xuecang Zhang; Fangmin Lu; Tianqi Wang; Xi Jin 002 (J. Syst. Archit., 2022)

QEGCN: An FPGA-based accelerator for quantized GCNs with edge-level parallelism. - Wei Yuan 006; Teng Tian; Qizhe Wu; Xi Jin 002 (J. Syst. Archit., 2022)

BaPipe: Balanced Pipeline Parallelism for DNN Training. - Letian Zhao; Rui Xu; Tianqi Wang; Teng Tian; Xiaotian Wang; Wei Wu; Chio-in Ieong; Xi Jin 002 (Parallel Process. Lett., 2022)

Exploration of Balanced Design in Resource-Constrained Edge Device for Efficient CNNs. - Xiaotian Wang; Teng Tian; Letian Zhao; Wei Wu; Xi Jin 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

FTW-GAT: An FPGA-Based Accelerator for Graph Attention Networks With Ternary Weights. - Zerong He; Teng Tian; Qizhe Wu; Xi Jin 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

RingTK: A Ring, Parallel and High Performance Top-K Sorter on FPGA. - Huawen Liang; Qizhe Wu; Wei Yuan 006; Teng Tian; Xi Jin 002 (FCCM, 2024)

Artificial Intelligence-Guided Fully-Automatic Renal Segmentation. - Haijun Huang; Teng Tian; Jing Zhao; Yidong Gu; Ruwang Jiao; Tao Peng 013 (PRICAI (3), 2024)

Primary-Ambient Extraction Using Ambient Phase Estimate Under Joint Sparsity and Independence Constraints for Stereo Signals. - Xiyu Song 001; Teng Tian; Shiqi Wang 035; Fangzhi Yao; Hongbing Qiu; Mei Wang; Hongyan Jiang (IEEE Trans. Consumer Electron., 2025)