Te Hu

According to our database, Te Hu authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Familiar Feelings: Emotion Look Development on Pixar's Inside Out 2.

Ana G. Lacaze, Ben Porter, Jacob Kuenzel, Te Hu, Masha Ellsworth, Athena Xenakis, Markus Kranzler, Alexis Angelidis

Proceedings of the ACM SIGGRAPH 2024 Talks, 2024

2023

TT@CIM: A Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity Optimization and Variable Precision Quantization.

Ruiqi Guo, Zhiheng Yue, Xin Si, Hao Li, Te Hu, Limei Tang, Yabing Wang, Hao Sun, Leibo Liu, Meng-Fan Chang, Qiang Li, Shaojun Wei, Shouyi Yin

IEEE J. Solid State Circuits, March, 2023

Creating Elemental Characters: From Sparks to Fire.

Jonathan Hoffman, Te Hu, Paul Kanyuk, Stephen Marshall, George Nguyen, Hope Schroers, Patrick Witting

Proceedings of the ACM SIGGRAPH 2023 Talks, 2023

2021

TIMAQ: A Time-Domain Computing-in-Memory-Based Processor Using Predictable Decomposed Convolution for Arbitrary Quantized DNNs.

Jianxun Yang, Yuyao Kong, Zhao Zhang, Zhuangzhi Liu, Jing Zhou, Yiqi Wang, Yonggang Liu, Chenfu Guo, Te Hu, Congcong Li, Leibo Liu, Jin Zhang, Shaojun Wei, Jun Yang, Shouyi Yin

IEEE J. Solid State Circuits, 2021

15.4 A 5.99-to-691.1TOPS/W Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity-Based Optimization and Variable-Precision Quantization.

Ruiqi Guo, Zhiheng Yue, Xin Si, Te Hu, Hao Li, Limei Tang, Yabing Wang, Leibo Liu, Meng-Fan Chang, Qiang Li, Shaojun Wei, Shouyi Yin

Proceedings of the IEEE International Solid-State Circuits Conference, 2021

2020

A Time-Domain Computing-in-Memory based Processor using Predictable Decomposed Convolution for Arbitrary Quantized DNNs.

Jianxun Yang, Yuyao Kong, Zhao Zhang, Zhuangzhi Liu, Jing Zhou, Yiqi Wang, Yonggang Liu, Chenfu Guo, Te Hu, Congcong Li, Leibo Liu, Jin Zhang, Shaojun Wei, Jun Yang, Shouyi Yin

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2020

2019

Identify of Spatial Similarity of Electroencephalography (EEG) during Working-Memory Maintenance.

Yufan Song, Zhihong Zhang, Te Hu, Xiaoliang Gong, Asoke K. Nandi

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Exploring the Neural Pattern in EEG Records of Material-specific Memory Maintenance by Deep Learning.

Zige Wang, Hao Zhang, Te Hu, Zifan Chen, Steffen Gais, Xiaoliang Gong

Proceedings of the 14th International Conference on Natural Computation, 2018

2014

Influential Factors of Spatial Distribution of Wheat Yield in China During 1978-2007: A Spatial Econometric Analysis.

Min Min, Wei Zhao, Te Hu, Jiaying Chen, Xin Nie

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014