Tianqi Tang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
12
Active years
2015–2022
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | AAAI | Monocular Camera-Based Point-Goal Navigation by Learning Depth Channel and Cross-Modality Pyramid Fusion. | Tianqi Tang, Heming Du, Xin Yu, Yi Yang |
| 2022 | USENIX | Faith: An Efficient Framework for Transformer Verification on GPUs. | Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding |
| 2021 | HPCA | NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper. | Tianqi Tang, Sheng Li, Lifeng Nai, Norman P. Jouppi, Yuan Xie |
| 2021 | IGARSS | New Insights into a Rock-Related TIR Anomaly on the Moon from CE-2 Celms Satellite Data. | Zhiguo Meng, Hengxi Liu, Wenqing Chang, Zhanchuan Cai, Tianqi Tang, Yanxiang Shi, Yongchun Zheng |
| 2021 | WACV | Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation. | Tianqi Tang, Xin Yu, Xuanyi Dong, Yi Yang |
| 2018 | ASPDAC | Training low bitwidth convolutional neural network on RRAM. | Yi Cai, Tianqi Tang, Lixue Xia, Ming Cheng, Zhenhua Zhu, Yu Wang, Huazhong Yang |
| 2018 | DATE | Real-time object detection towards high power efficiency. | Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang |
| 2017 | ASPDAC | Computation-oriented fault-tolerance schemes for RRAM computing systems. | Wenqin Huangfu, Lixue Xia, Ming Cheng, Xiling Yin, Tianqi Tang, Boxun Li, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang |
| 2017 | ASPDAC | Binary convolutional neural network on RRAM. | Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang |
| 2016 | CASES | RRAM based learning acceleration. | Yu Wang, Lixue Xia, Ming Cheng, Tianqi Tang, Boxun Li, Huazhong Yang |
| 2016 | DAC | Switched by input: power efficient structure for RRAM-based convolutional neural network. | Lixue Xia, Tianqi Tang, Wenqin Huangfu, Ming Cheng, Xiling Yin, Boxun Li, Yu Wang, Huazhong Yang |
| 2016 | DATE | MNSIM: Simulation platform for memristor-based neuromorphic computing system. | 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 |
| 2016 | FPGA | Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. | Jiantao Qiu, Jie Wang, Song Yao, Kaiyuan Guo, Boxun Li, Erjin Zhou, Jincheng Yu, Tianqi Tang, Ningyi Xu, Sen Song, Yu Wang, Huazhong Yang |
| 2016 | ISCAS | Low power Convolutional Neural Networks on a chip. | Yu Wang, Lixue Xia, Tianqi Tang, Boxun Li, Song Yao, Ming Cheng, Huazhong Yang |
| 2015 | ASPDAC | Technological exploration of RRAM crossbar array for matrix-vector multiplication. | Peng Gu, Boxun Li, Tianqi Tang, Shimeng Yu, Yu Cao, Yu Wang, Huazhong Yang |
| 2015 | DATE | Spiking neural network with RRAM: can we use it for real-world application? | Tianqi Tang, Lixue Xia, Boxun Li, Rong Luo, Yiran Chen, Yu Wang, Huazhong Yang |
| 2015 | ICCAD | Rebooting Computing and Low-Power Image Recognition Challenge. | Yung-Hsiang Lu, Alan M. Kadin, Alexander C. Berg, Thomas M. Conte, Erik P. DeBenedictis, Rachit Garg, Ganesh Gingade, Bichlien Hoang, Yongzhen Huang, Boxun Li, Jingyu Liu, Wei Liu, Huizi Mao, Junran Peng, Tianqi Tang, Elie K. Track, Jingqiu Wang, Tao Wang, Yu Wang, Jun Yao |
| 2015 | ISCAS | Energy-efficient neuromorphic computation based on compound spin synapse with stochastic learning. | Deming Zhang, Lang Zeng, Yuanzhuo Qu, Youguang Zhang, Mengxing Wang, Weisheng Zhao, Tianqi Tang, Yu Wang |