Yang, Yi

Random Erasing Data Augmentation

Zhong, Z., Zheng, L., Kang, G., Li, S., & Yang, Y. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,617

Random Erasing Data Augmentation

Zhong, Z., Zheng, L., Kang, G., Li, S., & Yang, Y. (2017) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,617

A survey on LLM-based multi-agent systems: Workflow, infrastructure, and challenges

Li, X., Wang, S., Zeng, S., Wu, Y., & Yang, Y. (2024) · Vicinagearth

Multi-Agent Systems and NegotiationPsychiatry, Mental Health, Neuroscience

Cited by 404

Multiple feature hashing for real-time large scale near-duplicate video retrieval

Song, J., Yang, Y., Huang, Z., Shen, H. T., & Hong, R. (2011) · Proceedings of the 19th ACM international conference on Multimedia

Advanced Image and Video Retrieval TechniquesVideo Analysis and Summarization

Cited by 334

Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration

He, Y., Ding, Y., Liu, P., Zhu, L., Zhang, H., & Yang, Y. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 262

Collaborative Video Object Segmentation by Foreground-Background Integration

Yang, Z., Wei, Y., & Yang, Y. (2020) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 257

PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing

Fan, H., & Yang, Y. (2019) · arXiv

3D Shape Modeling and AnalysisData Management and Algorithms

Cited by 80

Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation

Gan, Y., Yang, Z., Yue, X., Sun, L., & Yang, Y. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

Cited by 72

Efficient Multimodal Fusion via Interactive Prompting

Li, Y., Quan, R., Zhu, L., & Yang, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 60

VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

Wang, W., & Yang, Y. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 26

SemGloVe: Semantic Co-Occurrences for GloVe From BERT

Gan, L., Teng, Z., Zhang, Y., Zhu, L., Wu, F., & Yang, Y. (2022) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 22

VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft

Dong, Y., Zhu, X., Pan, Z., Zhu, L., & Yang, Y. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Multi-Agent Systems and NegotiationArtificial Intelligence in Games

Cited by 13

Tachikuma: Understading Complex Interactions with Multi-Character and Novel Objects by Large Language Models

Liang, Y., Zhu, L., & Yang, Y. (2023) · arXiv

Artificial Intelligence in GamesSpeech and dialogue systems

Cited by 3