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ORCIDChangsheng 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
- Changsheng Zhao 0007 — South China University of Technology, Future Technology College, Guangzhou, China (and 1 more)
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2020 – today
- 2025
[j1]Yang Li, Daniel Agyei Asante, Changsheng Zhao, Ernie Chang, Yangyang Shi, Vikas Chandra:
Streamlining Language Models via Semantic Basis Analysis. Trans. Mach. Learn. Res. 2025 (2025)- [c14]Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort:
SpinQuant: LLM Quantization with Learned Rotations. ICLR 2025 - [c13]Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra:
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. ICML 2025 - [c12]Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jürgen Schmidhuber:
Agent-as-a-Judge: Evaluate Agents with Agents. ICML 2025 - [c11]Yang Li, Yuan Shangguan, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, Vikas Chandra:
Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions. NAACL (Industry Track) 2025: 616-626 - [i17]Zechun Liu, Changsheng Zhao, Hanxian Huang, Sijia Chen, Jing Zhang, Jiawei Zhao, Scott Roy, Lisa Jin, Yunyang Xiong, Yangyang Shi, Lin Xiao, Yuandong Tian, Bilge Soran, Raghuraman Krishnamoorthi, Tijmen Blankevoort, Vikas Chandra:
ParetoQ: Scaling Laws in Extremely Low-bit LLM Quantization. CoRR abs/2502.02631 (2025) - [i16]Changsheng Zhao, Ernie Chang, Zechun Liu, Chia-Jung Chang, Wei Wen, Chen Lai, Sheng Cao, Yuandong Tian, Raghuraman Krishnamoorthi, Yangyang Shi, Vikas Chandra:
MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes. CoRR abs/2509.24945 (2025) - [i15]Zhipeng Cai, Ching-Feng Yeh, Hu Xu, Zhuang Liu, Gregory Meyer, Xinjie Lei, Changsheng Zhao, Shang-Wen (Daniel) Li, Vikas Chandra, Yangyang Shi:
DepthLM: Metric Depth From Vision Language Models. CoRR abs/2509.25413 (2025) - 2024
- [c10]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 - [c9]Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin, Changsheng Zhao, Patrick Huber, Zechun Liu, Rastislav Rabatin, Yangyang Shi, Vikas Chandra:
Scaling Parameter-Constrained Language Models with Quality Data. EMNLP (Industry Track) 2024: 80-97 - [c8]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. EMNLP 2024: 12927-12935 - [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 - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin, Changsheng Zhao, Patrick Huber, Zechun Liu, Rastislav Rabatin, Yangyang Shi, Vikas Chandra:
Scaling Parameter-Constrained Language Models with Quality Data. CoRR abs/2410.03083 (2024) - [i8]Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jürgen Schmidhuber:
Agent-as-a-Judge: Evaluate Agents with Agents. CoRR abs/2410.10934 (2024) - [i7]Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra:
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. CoRR abs/2410.17434 (2024) - [i6]Igor Fedorov, Kate Plawiak, Lemeng Wu, Tarek Elgamal, Naveen Suda, Eric Smith, Hongyuan Zhan, Jianfeng Chi, Yuriy Hulovatyy, Kimish Patel, Zechun Liu, Changsheng Zhao, Yangyang Shi, Tijmen Blankevoort, Mahesh Pasupuleti, Bilge Soran, Zacharie Delpierre Coudert, Rachad Alao, Raghuraman Krishnamoorthi, Vikas Chandra:
Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations. CoRR abs/2411.17713 (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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