Effect of graphene nanoplatelet thickness on electrochemical performance of dye-sensitized solar cell. - Jiawei Gong; K. Sumathy; Zhengping Zhou; Qiquan Qiao (EIT, 2016)

What and Where: A Context-based Recommendation System for Object Insertion. - Song-Hai Zhang; Zhengping Zhou; Bin Liu; Xin Dong; Dun Liang; Peter M. Hall; Shi-Min Hu 001 (CoRR, 2018)

Enhancing Transformer with Sememe Knowledge. - Yuhui Zhang; Chenghao Yang 001; Zhengping Zhou; Zhiyuan Liu 001 (RepL4NLP@ACL, 2020)

What and where: A context-based recommendation system for object insertion. - Song-Hai Zhang; Zhengping Zhou; Bin Liu; Xi Dong; Peter Hall 001 (Comput. Vis. Media, 2020)

Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation. - Yuhui Zhang; Shih-Cheng Huang; Zhengping Zhou; Matthew P. Lungren; Serena Yeung (ML4H@NeurIPS, 2022)

Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. - Yuhui Zhang; Michihiro Yasunaga; Zhengping Zhou; Jeff Z. HaoChen; James Zou 001; Percy Liang; Serena Yeung (ACL (Findings), 2023)

Tobacco Quality Prediction in Tobacco Machine Drying Based on Data-Driven Deep Reinforcement Learning. - Shuang Dai; Zhengping Zhou; Jiawei Fan; Huancheng Guo (ICMLCA, 2023)

Physically Plausible Animation of Human Upper Body from a Single Image. - Ziyuan Huang; Zhengping Zhou; Yung-Yu Chuang; Jiajun Wu 001; C. Karen Liu (WACV, 2023)

Mini-Giants: "Small" Language Models and Open Source Win-Win. - Zhengping Zhou; Lezhi Li; Xinxi Chen; Andy Li (CoRR, 2023)

Inverse Scaling: When Bigger Isn't Better. - 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; et al. (Trans. Mach. Learn. Res., 2023)