COCOA: Content-Oriented Configurable Architecture Based on Highly-Adaptive Data Transmission Networks. - Tian Xia 008; Pengchen Zong; Haoran Zhao; Jianming Tong; Wenzhe Zhao; Nanning Zheng 001; Pengju Ren (ACM Great Lakes Symposium on VLSI, 2020)

Exploring Better Speculation and Data Locality in Sparse Matrix-Vector Multiplication on Intel Xeon. - Haoran Zhao; Tian Xia 008; Chenyang Li; Wenzhe Zhao; Nanning Zheng 001; Pengju Ren (ICCD, 2020)

SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV. - Chenyang Li; Tian Xia 008; Wenzhe Zhao; Nanning Zheng 001; Pengju Ren (DAC, 2021)

CAQ: Context-Aware Quantization via Reinforcement Learning. - Zhijun Tu; Jian Ma; Tian Xia 008; Wenzhe Zhao; Pengju Ren; Nanning Zheng 001 (IJCNN, 2021)

Joint Critics Mechanism: A Universal Framework for Multi-targets Visual Navigation. - Youzhuo Wang; Wenzhe Zhao; Tian Xia 008; Nanning Zheng 001; Pengju Ren (IJCNN, 2021)

PIT: Processing-In-Transmission With Fine-Grained Data Manipulation Networks. - Pengchen Zong; Tian Xia 008; Haoran Zhao; Jianming Tong; Zehua Li; Wenzhe Zhao; Nanning Zheng 001; Pengju Ren (IEEE Trans. Computers, 2021)

MI2D: Accelerating Matrix Inversion with 2-Dimensional Tile Manipulations. - Lingfeng Chen; Tian Xia 008; Wenzhe Zhao; Pengju Ren (ACM Great Lakes Symposium on VLSI, 2022)

PrSpMV: An Efficient Predictable Kernel for SpMV. - Gelin Fu; Tian Xia 008; Shaoru Qu; Zhongpei Luo; Shuyu Li; Pengyu Cheng; Runfan Guo; Yitong Ding; Pengju Ren (ICCD, 2023)

TAQ: Top-K Attention-Aware Quantization for Vision Transformers. - Lili Shi; Haiduo Huang; Bowei Song; Meng Tan; Wenzhe Zhao; Tian Xia 008; Pengju Ren (ICIP, 2023)

A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization. - Tian Xia 008; Gelin Fu; Chenyang Li; Zhongpei Luo; Lucheng Zhang; Ruiyang Chen; Wenzhe Zhao; Nanning Zheng 001; Pengju Ren (IEEE Trans. Parallel Distributed Syst., 2023)

An Energy-and-Area-Efficient CNN Accelerator for Universal Powers-of-Two Quantization. - Tian Xia 008; Boran Zhao; Jian Ma; Gelin Fu; Wenzhe Zhao; Nanning Zheng 001; Pengju Ren (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

REMAP: A Spatiotemporal CNN Accelerator Optimization Methodology and Toolkit Thereof. - Boran Zhao; Tian Xia 008; Haiming Zhai; Fulun Ma; Yan Du; Hanzhi Chang; Wenzhe Zhao; Pengju Ren (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Optimizing FPGA-Based DNN Accelerator With Shared Exponential Floating-Point Format. - Wenzhe Zhao; Qiwei Dang; Tian Xia 008; Jingming Zhang; Nanning Zheng 001; Pengju Ren (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

HIPU: A Hybrid Intelligent Processing Unit With Fine-Grained ISA for Real-Time Deep Neural Network Inference Applications. - Wenzhe Zhao; Guoming Yang; Tian Xia 008; Fei Chen; Nanning Zheng 001; Pengju Ren (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Differential-Matching Prefetcher for Indirect Memory Access. - Gelin Fu; Tian Xia 008; Zhongpei Luo; Ruiyang Chen; Wenzhe Zhao; Pengju Ren (HPCA, 2024)

Magellan: A High-Performance Loop-Guided Prefetcher for Indirect Memory Access. - Gelin Fu; Tian Xia 008; Mingzhuo Yin; Prashant J. Nair; Mieszko Lis; Pengju Ren (ISCA, 2025)

Nearly Lossless Adaptive Bit Switching. - Haiduo Huang; Zhenhua Liu; Tian Xia 008; Wenzhe Zhao; Pengju Ren (CoRR, 2025)

Partial Channel Network: Compute Fewer, Perform Better. - Haiduo Huang; Tian Xia 008; Wenzhe Zhao; Pengju Ren (CoRR, 2025)

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds. - Boran Zhao; Haiduo Huang; Qiwei Dang; Wenzhe Zhao; Tian Xia 008; Pengju Ren (CoRR, 2025)

SparseMap: A Sparse Tensor Accelerator Framework Based on Evolution Strategy. - Boran Zhao; Haiming Zhai; Zihang Yuan; Hetian Liu; Tian Xia 008; Wenzhe Zhao; Pengju Ren (CoRR, 2025)