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ORCIDTian Xia 0008
Person information
- affiliation: Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China
- affiliation (PhD 2016): National Institute of Applied Sciences, Bellignat, France
Other persons with the same name
- Tian Xia — disambiguation page
- Tian Xia 0001 — Teradata Corporation, El Segundo, CA, USA (and 2 more)
- Tian Xia 0002 — Chinese Academy of Sciences, Institute of Computing Technology, Center for Advanced Computing Technology Research, Beijing, China
- Tian Xia 0003 — Louisiana State University, Baton Rouge, LA, USA
- Tian Xia 0004 — Ping An Technology, Shenzhen, China (and 1 more)
- Tian Xia 0005
![[0000-0002-4395-7350]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4395-7350")
— University of Vermont, Burlington, VT, USA (and 1 more) - Tian Xia 0006 — Auburn University, AL, USA
- Tian Xia 0007 — INSA Rennes, France
- Tian Xia 0009 — Shanghai Polytechnic University, School of Computer and Information Engineering, China (and 1 more)
- Tian Xia 0010 — Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, China
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2020 – today
- 2024
[c9]Gelin Fu, Tian Xia, Zhongpei Luo, Ruiyang Chen, Wenzhe Zhao, Pengju Ren:
Differential-Matching Prefetcher for Indirect Memory Access. HPCA 2024: 439-453- 2023
- [j6]Boran Zhao, Tian Xia, Haiming Zhai, Fulun Ma, Yan Du, Hanzhi Chang, Wenzhe Zhao, Pengju Ren:
REMAP: A Spatiotemporal CNN Accelerator Optimization Methodology and Toolkit Thereof. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1691-1704 (2023) - [j5]Tian Xia, Boran Zhao, Jian Ma, Gelin Fu, Wenzhe Zhao, Nanning Zheng, Pengju Ren:
An Energy-and-Area-Efficient CNN Accelerator for Universal Powers-of-Two Quantization. IEEE Trans. Circuits Syst. I Regul. Pap. 70(3): 1242-1255 (2023) - [j4]Wenzhe Zhao, Qiwei Dang, Tian Xia, Jingming Zhang, Nanning Zheng, Pengju Ren:
Optimizing FPGA-Based DNN Accelerator With Shared Exponential Floating-Point Format. IEEE Trans. Circuits Syst. I Regul. Pap. 70(11): 4478-4491 (2023) - [j3]Tian Xia, Gelin Fu, Chenyang Li, Zhongpei Luo, Lucheng Zhang, Ruiyang Chen, Wenzhe Zhao, Nanning Zheng, Pengju Ren:
A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization. IEEE Trans. Parallel Distributed Syst. 34(2): 519-534 (2023) - [j2]Wenzhe Zhao, Guoming Yang, Tian Xia, Fei Chen, Nanning Zheng, Pengju Ren:
HIPU: A Hybrid Intelligent Processing Unit With Fine-Grained ISA for Real-Time Deep Neural Network Inference Applications. IEEE Trans. Very Large Scale Integr. Syst. 31(12): 1980-1993 (2023) - [c8]Gelin Fu, Tian Xia, Shaoru Qu, Zhongpei Luo, Shuyu Li, Pengyu Cheng, Runfan Guo, Yitong Ding, Pengju Ren:
PrSpMV: An Efficient Predictable Kernel for SpMV. ICCD 2023: 448-456 - [c7]Lili Shi, Haiduo Huang, Bowei Song, Meng Tan, Wenzhe Zhao, Tian Xia, Pengju Ren:
TAQ: Top-K Attention-Aware Quantization for Vision Transformers. ICIP 2023: 1750-1754 - 2022
- [c6]Lingfeng Chen, Tian Xia, Wenzhe Zhao, Pengju Ren:
MI2D: Accelerating Matrix Inversion with 2-Dimensional Tile Manipulations. ACM Great Lakes Symposium on VLSI 2022: 423-429 - 2021
- [j1]Pengchen Zong, Tian Xia, Haoran Zhao, Jianming Tong, Zehua Li, Wenzhe Zhao, Nanning Zheng, Pengju Ren:
PIT: Processing-In-Transmission With Fine-Grained Data Manipulation Networks. IEEE Trans. Computers 70(6): 877-891 (2021) - [c5]Chenyang Li, Tian Xia, Wenzhe Zhao, Nanning Zheng, Pengju Ren:
SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV. DAC 2021: 661-666 - [c4]Zhijun Tu, Jian Ma, Tian Xia, Wenzhe Zhao, Pengju Ren, Nanning Zheng:
CAQ: Context-Aware Quantization via Reinforcement Learning. IJCNN 2021: 1-8 - [c3]Youzhuo Wang, Wenzhe Zhao, Tian Xia, Nanning Zheng, Pengju Ren:
Joint Critics Mechanism: A Universal Framework for Multi-targets Visual Navigation. IJCNN 2021: 1-6 - 2020
- [c2]Tian Xia, Pengchen Zong, Haoran Zhao, Jianming Tong, Wenzhe Zhao, Nanning Zheng, Pengju Ren:
COCOA: Content-Oriented Configurable Architecture Based on Highly-Adaptive Data Transmission Networks. ACM Great Lakes Symposium on VLSI 2020: 253-258 - [c1]Haoran Zhao, Tian Xia, Chenyang Li, Wenzhe Zhao, Nanning Zheng, Pengju Ren:
Exploring Better Speculation and Data Locality in Sparse Matrix-Vector Multiplication on Intel Xeon. ICCD 2020: 601-609
Coauthor Index
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