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Tianqi Tang 0001
Person information
- affiliation: Meta, USA
- affiliation (former): University of California at Santa Barbara, Santa Barbara, CA, USA
Other persons with the same name
- Tianqi Tang 0002
— University of Technology Sydney, NSW, Australia
- Tianqi Tang 0003
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2020 – today
- 2022
- [b1]Tianqi Tang:
Hardware Modeling and Efficient Architectural Exploration for Machine Learning Accelerators. University of California, Santa Barbara, USA, 2022 - [c17]Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding:
Faith: An Efficient Framework for Transformer Verification on GPUs. USENIX ATC 2022: 167-182 - [i2]Tianqi Tang, Yuan Xie:
Cost-Aware Exploration for Chiplet-Based Architecture with Advanced Packaging Technologies. CoRR abs/2206.07308 (2022) - [i1]Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding:
Faith: An Efficient Framework for Transformer Verification on GPUs. CoRR abs/2209.12708 (2022) - 2021
- [j6]Jilan Lin
Rescuing RRAM-Based Computing From Static and Dynamic Faults. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 2049-2062 (2021) - [c16]Tianqi Tang, Sheng Li, Lifeng Nai, Norman P. Jouppi, Yuan Xie:
NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper. HPCA 2021: 841-853 - 2020
- [j5]Yi Cai
Low Bit-Width Convolutional Neural Network on RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(7): 1414-1427 (2020)
2010 – 2019
- 2018
- [j4]Lixue Xia
Stuck-at Fault Tolerance in RRAM Computing Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 102-115 (2018) - [j3]Lixue Xia
MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(5): 1009-1022 (2018) - [j2]Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Jun Yao, Yu Wang
Towards Real-Time Object Detection on Embedded Systems. IEEE Trans. Emerg. Top. Comput. 6(3): 417-431 (2018) - [c15]Yi Cai, Tianqi Tang, Lixue Xia
Training low bitwidth convolutional neural network on RRAM. ASP-DAC 2018: 117-122 - [c14]Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang:
Real-time object detection towards high power efficiency. DATE 2018: 704-708 - 2017
- [c13]Tianqi Tang, Lixue Xia
Binary convolutional neural network on RRAM. ASP-DAC 2017: 782-787 - [c12]Wenqin Huangfu, Lixue Xia
Computation-oriented fault-tolerance schemes for RRAM computing systems. ASP-DAC 2017: 794-799 - 2016
- [j1]Lixue Xia
Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication. J. Comput. Sci. Technol. 31(1): 3-19 (2016) - [c11]Yu Wang, Lixue Xia
RRAM based learning acceleration. CASES 2016: 9:1-9:2 - [c10]Lixue Xia
Switched by input: power efficient structure for RRAM-based convolutional neural network. DAC 2016: 125:1-125:6 - [c9]Lixue Xia, Boxun Li, Tianqi Tang, Peng Gu, Xiling Yin, Wenqin Huangfu, Pai-Yu Chen, Shimeng Yu, Yu Cao, Yu Wang, Yuan Xie, Huazhong Yang:
MNSIM: Simulation platform for memristor-based neuromorphic computing system. DATE 2016: 469-474 - [c8]Jiantao Qiu, Jie Wang, Song Yao, Kaiyuan Guo, Boxun Li, Erjin Zhou, Jincheng Yu, Tianqi Tang, Ningyi Xu, Sen Song, Yu Wang, Huazhong Yang:
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. FPGA 2016: 26-35 - [c7]Yu Wang, Lixue Xia
Low power Convolutional Neural Networks on a chip. ISCAS 2016: 129-132 - 2015
- [c6]Peng Gu, Boxun Li, Tianqi Tang, Shimeng Yu
Technological exploration of RRAM crossbar array for matrix-vector multiplication. ASP-DAC 2015: 106-111 - [c5]Tianqi Tang, Lixue Xia, Boxun Li, Rong Luo, Yiran Chen, Yu Wang, Huazhong Yang:
Spiking neural network with RRAM: can we use it for real-world application? DATE 2015: 860-865 - [c4]Yu Wang, Tianqi Tang, Lixue Xia
Energy Efficient RRAM Spiking Neural Network for Real Time Classification. ACM Great Lakes Symposium on VLSI 2015: 189-194 - [c3]Yung-Hsiang Lu, Alan M. Kadin, Alexander C. Berg, Thomas M. Conte
Rebooting Computing and Low-Power Image Recognition Challenge. ICCAD 2015: 927-932 - [c2]Deming Zhang, Lang Zeng, Yuanzhuo Qu, Youguang Zhang, Mengxing Wang, Weisheng Zhao, Tianqi Tang, Yu Wang:
Energy-efficient neuromorphic computation based on compound spin synapse with stochastic learning. ISCAS 2015: 1538-1541 - 2014
- [c1]Tianqi Tang, Rong Luo, Boxun Li, Hai Li, Yu Wang
Energy efficient spiking neural network design with RRAM devices. ISIC 2014: 268-271
Coauthor Index
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