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Zhengping Zhou
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2020 – today
- 2023
- [j2]Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez:
Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung:
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. ACL (Findings) 2023: 7479-7498 - [c5]Shuang Dai, Zhengping Zhou, Jiawei Fan, Huancheng Guo:
Tobacco Quality Prediction in Tobacco Machine Drying Based on Data-Driven Deep Reinforcement Learning. ICMLCA 2023: 598-605 - [c4]Ziyuan Huang, Zhengping Zhou, Yung-Yu Chuang, Jiajun Wu, C. Karen Liu:
Physically Plausible Animation of Human Upper Body from a Single Image. WACV 2023: 930-939 - [i6]Yuhui Zhang, Shih-Cheng Huang, Zhengping Zhou, Matthew P. Lungren, Serena Yeung:
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation. CoRR abs/2302.04303 (2023) - [i5]Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung:
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. CoRR abs/2305.17311 (2023) - [i4]Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez:
Inverse Scaling: When Bigger Isn't Better. CoRR abs/2306.09479 (2023) - [i3]Zhengping Zhou, Lezhi Li, Xinxi Chen, Andy Li:
Mini-Giants: "Small" Language Models and Open Source Win-Win. CoRR abs/2307.08189 (2023) - 2022
- [c3]Yuhui Zhang, Shih-Cheng Huang, Zhengping Zhou, Matthew P. Lungren, Serena Yeung:
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation. ML4H@NeurIPS 2022: 391-404 - [i2]Ziyuan Huang, Zhengping Zhou, Yung-Yu Chuang, Jiajun Wu, C. Karen Liu:
Physically Plausible Animation of Human Upper Body from a Single Image. CoRR abs/2212.04741 (2022) - 2020
- [j1]Song-Hai Zhang, Zhengping Zhou, Bin Liu, Xi Dong, Peter Hall:
What and where: A context-based recommendation system for object insertion. Comput. Vis. Media 6(1): 79-93 (2020) - [c2]Yuhui Zhang, Chenghao Yang, Zhengping Zhou, Zhiyuan Liu:
Enhancing Transformer with Sememe Knowledge. RepL4NLP@ACL 2020: 177-184
2010 – 2019
- 2018
- [i1]Song-Hai Zhang, Zhengping Zhou, Bin Liu, Xin Dong, Dun Liang, Peter M. Hall, Shi-Min Hu:
What and Where: A Context-based Recommendation System for Object Insertion. CoRR abs/1811.09783 (2018) - 2016
- [c1]Jiawei Gong, K. Sumathy, Zhengping Zhou, Qiquan Qiao:
Effect of graphene nanoplatelet thickness on electrochemical performance of dye-sensitized solar cell. EIT 2016: 297-301
Coauthor Index
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