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2020 – today
- 2023
[c25]Yuhang Zhou, Suraj Maharjan, Beiye Liu:
Scalable Prompt Generation for Semi-supervised Learning with Language Models. EACL (Findings) 2023: 758-769- [i4]Yuhang Zhou, Suraj Maharjan, Beiye Liu:
Scalable Prompt Generation for Semi-supervised Learning with Language Models. CoRR abs/2302.09236 (2023) - 2022
- [c24]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi
, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. KDD 2022: 2893-2902 - [i3]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. CoRR abs/2206.07808 (2022) - 2021
- [c23]Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza:
Exploring Transfer Learning For End-to-End Spoken Language Understanding. AAAI 2021: 13754-13761 - 2020
- [j3]Chaofei Yang, Beiye Liu, Hai Li, Yiran Chen, Mark Barnell, Qing Wu, Wujie Wen, Jeyavijayan Rajendran:
Thwarting Replication Attack Against Memristor-Based Neuromorphic Computing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2192-2205 (2020) - [i2]Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza:
Exploring Transfer Learning For End-to-End Spoken Language Understanding. CoRR abs/2012.08549 (2020)
2010 – 2019
- 2017
- [c22]Yandan Wang, Wei Wen, Beiye Liu, Donald M. Chiarulli, Hai (Helen) Li:
Group Scissor: Scaling Neuromorphic Computing Design to Large Neural Networks. DAC 2017: 85:1-85:6 - [c21]Chang Song, Beiye Liu, Wei Wen, Hai Li, Yiran Chen:
A quantization-aware regularized learning method in multilevel memristor-based neuromorphic computing system. NVMSA 2017: 1-6 - [i1]Yandan Wang, Wei Wen, Beiye Liu, Donald M. Chiarulli, Hai Helen Li:
Group Scissor: Scaling Neuromorphic Computing Design to Big Neural Networks. CoRR abs/1702.03443 (2017) - 2016
- [j2]Xiaoxiao Liu, Mengjie Mao, Beiye Liu, Boxun Li, Yu Wang, Hao Jiang, Mark Barnell, Qing Wu, Jianhua Joshua Yang, Hai Li, Yiran Chen:
Harmonica: A Framework of Heterogeneous Computing Systems With Memristor-Based Neuromorphic Computing Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(5): 617-628 (2016) - [c20]Chaofei Yang, Beiye Liu, Yandan Wang, Yiran Chen, Hai Li, Xian Zhang, Guangyu Sun:
The Applications of NVM Technology in Hardware Security. ACM Great Lakes Symposium on VLSI 2016: 311-316 - [c19]Chaofei Yang, Beiye Liu, Hai Li, Yiran Chen, Wujie Wen, Mark Barnell, Qing Wu, Jeyavijayan Rajendran:
Security of neuromorphic computing: thwarting learning attacks using memristor's obsolescence effect. ICCAD 2016: 97 - [c18]Chang Song, Beiye Liu, Chenchen Liu, Hai Li, Yiran Chen:
Design techniques of eNVM-enabled neuromorphic computing systems. ICCD 2016: 674-677 - [c17]Beiye Liu, Chaofei Yang, Hai Li, Yiran Chen, Qing Wu, Mark Barnell:
Security of neuromorphic systems: Challenges and solutions. ISCAS 2016: 1326-1329 - [c16]Hsin-Pai Cheng, Wei Wen, Chang Song, Beiye Liu, Hai Li, Yiran Chen:
Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss. NANOARCH 2016: 185-190 - 2015
- [j1]Beiye Liu, Yiran Chen, Bryant Wysocki, Tingwen Huang:
Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design. Neural Process. Lett. 41(2): 159-167 (2015) - [c15]Wei Wen, Chi-Ruo Wu, Xiaofang Hu, Beiye Liu, Tsung-Yi Ho, Xin Li, Yiran Chen:
An EDA framework for large scale hybrid neuromorphic computing systems. DAC 2015: 12:1-12:6 - [c14]Chenchen Liu, Bonan Yan, Chaofei Yang, Linghao Song, Zheng Li, Beiye Liu, Yiran Chen, Hai Li, Qing Wu, Hao Jiang:
A spiking neuromorphic design with resistive crossbar. DAC 2015: 14:1-14:6 - [c13]Beiye Liu, Hai Li, Yiran Chen, Xin Li, Qing Wu, Tingwen Huang:
Vortex: variation-aware training for memristor X-bar. DAC 2015: 15:1-15:6 - [c12]Xiaoxiao Liu, Mengjie Mao, Beiye Liu, Hai Li, Yiran Chen, Boxun Li, Yu Wang, Hao Jiang, Mark Barnell, Qing Wu, Jianhua Joshua Yang:
RENO: a high-efficient reconfigurable neuromorphic computing accelerator design. DAC 2015: 66:1-66:6 - [c11]Beiye Liu, Chunpeng Wu, Hai Li, Yiran Chen, Qing Wu, Mark Barnell, Qinru Qiu:
Cloning your mind: security challenges in cognitive system designs and their solutions. DAC 2015: 95:1-95:5 - [c10]Beiye Liu, Wei Wen, Yiran Chen, Xin Li, Chi-Ruo Wu, Tsung-Yi Ho:
EDA Challenges for Memristor-Crossbar based Neuromorphic Computing. ACM Great Lakes Symposium on VLSI 2015: 185-188 - [c9]Hai Li, Beiye Liu, Xiaoxiao Liu, Mengjie Mao, Yiran Chen, Qing Wu, Qinru Qiu:
The applications of memristor devices in next-generation cortical processor designs. ISCAS 2015: 17-20 - [c8]Beiye Liu, Xiaoxiao Liu, Chenchen Liu, Wei Wen, M. Meng, Hai Li, Yiran Chen:
Hardware acceleration for neuromorphic computing: An evolving view. NVMTS 2015: 1-4 - 2014
- [c7]Beiye Liu, Hai Li, Yiran Chen, Xin Li, Tingwen Huang, Qing Wu, Mark Barnell:
Reduction and IR-drop compensations techniques for reliable neuromorphic computing systems. ICCAD 2014: 63-70 - [c6]Qing Wu, Beiye Liu, Yiran Chen, Hai Li, Qiuwen Chen, Qinru Qiu:
Bio-inspired computing with resistive memories - models, architectures and applications. ISCAS 2014: 834-837 - 2013
- [c5]Beiye Liu, Miao Hu, Hai Li, Yiran Chen, Chun Xue:
Bio-inspired ultra lower-power neuromorphic computing engine for embedded systems. CODES+ISSS 2013: 23:1 - [c4]Beiye Liu, Miao Hu, Hai Li, Zhi-Hong Mao, Yiran Chen, Tingwen Huang, Wei Zhang:
Digital-assisted noise-eliminating training for memristor crossbar-based analog neuromorphic computing engine. DAC 2013: 7:1-7:6 - 2012
- [c3]Robinson E. Pino, Hai (Helen) Li, Yiran Chen, Miao Hu, Beiye Liu:
Statistical memristor modeling and case study in neuromorphic computing. DAC 2012: 585-590 - [c2]Xiang Chen, Beiye Liu, Yiran Chen, Mengying Zhao, Chun Jason Xue, Xiaojun Guo:
Active compensation technique for the thin-film transistor variations and OLED aging of mobile device displays. ICCAD 2012: 516-522 - [c1]Beiye Liu, Yiran Chen, Bryant Wysocki, Tingwen Huang:
The Circuit Realization of a Neuromorphic Computing System with Memristor-Based Synapse Design. ICONIP (1) 2012: 357-365
Coauthor Index
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