Ni, Lionel M.

Generalizing from a Few Examples: A Survey on Few-shot Learning

Wang, Y., Yao, Q., Kwok, J. T., & Ni, L. M. (2021) · ACM Computing Surveys

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 3,165

A Survey on LLM-as-a-Judge

Gu, J., Jiang, X., Shi, Z., Tan, H., Zhai, X., Xu, C., Li, W., Shen, Y., Ma, S., Liu, H., et al. (2024) · arXiv

Artificial Intelligence in LawTopic Modeling

Cited by 1,781

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Zhang, H., Li, F., Liu, S., Zhang, L., Su, H., Zhu, J., Ni, L. M., & Shum, H.-Y. (2022) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,154

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Li, F., Zhang, H., Liu, S., Guo, J., Ni, L. M., & Zhang, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,102

Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR

Li, F., Zeng, A., Liu, S., Zhang, H., Li, H., Zhang, L., & Ni, L. M. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 154

Visual analytics in urban computing: An overview

Zheng, Y., Wu, W., Chen, Y., Qu, H., & Ni, L. M. (2016) · IEEE Transactions on Big Data

Data Visualization and AnalyticsSmart Cities and Technologies

Cited by 141

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph

Sun, J., Xu, C., Tang, L., Wang, S., Lin, C., Gong, Y., Ni, L. M., Shum, H.-Y., & Guo, J. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 74

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Li, F., Zhang, H., Liu, S., Guo, J., Ni, L. M., & Zhang, L. (2022) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 57

Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment

Wang, S., Yuan, H., Zhou, L., Ni, L. M., Shum, H.-Y., & Guo, J. (2023) · arXiv

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 17

QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Wang, S., Yuan, H., Ni, L. M., & Guo, J. (2024) · arXiv

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 4