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Changsheng Zhao 0002
Person information
- affiliation: Meta, CA, USA
- affiliation (former): Samsung Research America, USA
- affiliation (former): Peking University, Beijing, China
- affiliation (former): Columbia University, New York, NY, USA
Other persons with the same name
- Changsheng Zhao 0001 — EDS/Unigraphics, Cypress, CA, USA (and 2 more)
- Changsheng Zhao 0003 — Jiangsu Normal University, School of Geography, Geomatics and Planning, Xuzhou, China (and 2 more)
- Changsheng Zhao 0004 — Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China
- Changsheng Zhao 0005 — Wuhan University, School of Computer Science, China
- Changsheng Zhao 0006 — Shandong University of Science and Technology, Electrical Engineering and Automation, Qingdao, China
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2020 – today
- 2024
- [c8]Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra:
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. ACL (Findings) 2024: 467-484 - [c7]Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra:
On the Open Prompt Challenge in Conditional Audio Generation. ICASSP 2024: 5315-5319 - [c6]Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra:
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. ICML 2024 - [i10]Yang Li, Yuan Shangguan, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, Vikas Chandra:
Not All Weights Are Created Equal: Enhancing Energy Efficiency in On-Device Streaming Speech Recognition. CoRR abs/2402.13076 (2024) - [i9]Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra:
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. CoRR abs/2402.14905 (2024) - [i8]Yang Li, Changsheng Zhao, Hyungtak Lee, Ernie Chang, Yangyang Shi, Vikas Chandra:
Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications. CoRR abs/2405.15877 (2024) - [i7]Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort:
SpinQuant: LLM quantization with learned rotations. CoRR abs/2405.16406 (2024) - [i6]Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra:
Target-Aware Language Modeling via Granular Data Sampling. CoRR abs/2409.14705 (2024) - 2023
- [c5]Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra:
Revisiting Sample Size Determination in Natural Language Understanding. ACL (Findings) 2023: 6716-6724 - [c4]Ting-Wei Wu, Changsheng Zhao, Ernie Chang, Yangyang Shi, Pierce Chuang, Vikas Chandra, Biing-Hwang Juang:
Towards Zero-Shot Multilingual Transfer for Code-Switched Responses. ACL (1) 2023: 7551-7563 - [i5]Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra:
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. CoRR abs/2305.17888 (2023) - [i4]Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra:
Revisiting Sample Size Determination in Natural Language Understanding. CoRR abs/2307.00374 (2023) - [i3]Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra:
On The Open Prompt Challenge In Conditional Audio Generation. CoRR abs/2311.00897 (2023) - 2022
- [i2]Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin:
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. CoRR abs/2201.01420 (2022) - 2021
- [c3]Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin:
Automatic Mixed-Precision Quantization Search of BERT. IJCAI 2021: 3427-3433 - [c2]Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin:
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. NAACL-HLT 2021: 2669-2678 - [i1]Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin:
Automatic Mixed-Precision Quantization Search of BERT. CoRR abs/2112.14938 (2021)
2010 – 2019
- 2019
- [c1]Jun Wang, Changsheng Zhao, Junfu Xiang, Kanji Uchino:
Interactive Topic Model with Enhanced Interpretability. IUI Workshops 2019
Coauthor Index
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