Ye, Jieping

Object Detection in 20 Years: A Survey

Zou, Z., Chen, K., Shi, Z., Guo, Y., & Ye, J. (2023) · Proceedings of the IEEE

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 3,689

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Gui, J., Sun, Z., Wen, Y., Tao, D., & Ye, J. (2023) · IEEE Transactions on Knowledge and Data Engineering

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 1,231

A survey on machine learning from few samples

Lu, J., Gong, P., Ye, J., Zhang, J., & Zhang, C. (2023) · Pattern Recognition

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 100

Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study

Nie, Z., Vairavan, S., Narayan, V. A., Ye, J., & Li, Q. S. (2018) · PLOS ONE

Treatment of Major DepressionArtificial Intelligence in Healthcare

Cited by 62

D$^2$-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios

Che, Z., Li, G., Li, T., Jiang, B., Shi, X., Zhang, X., Lu, Y., Wu, G., Liu, Y., & Ye, J. (2019) · arXiv

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 36

From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

Zhang, X., Quan, Y., Shen, C., Yuan, X., Yan, S., Xie, L., Wang, W., Gu, C., Tang, H., & Ye, J. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 26

From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning

Chen, W., Huang, Z., Xie, L., Lin, B., Li, H., Lu, L., Tian, X., Cai, D., Zhang, Y., Wang, W., et al. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 5