Mingdai Yang

According to our database, Mingdai Yang authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Instruction-based Hypergraph Pretraining.

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

CoRR, 2024

Unified Pretraining for Recommendation via Task Hypergraphs.

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Knowledge Graph Context-Enhanced Diversified Recommendation.

Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals.

Mingdai Yang, Qiuwen Lou, Ramin Rajaei, Mohammad Reza Jokar, Junyi Qiu, Yuming Liu, Aditi Udupa, Frederic T. Chong, John M. Dallesasse, Milton Feng, Lynford L. Goddard, X. Sharon Hu, Yanjing Li

ACM J. Emerg. Technol. Comput. Syst., April, 2023

Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model.

Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu

CoRR, 2023

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph.

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graph-based Alignment and Uniformity for Recommendation.

Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multi-View Graph Convolution for Participant Recommendation.

Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.

Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

2021

A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals.

Mingdai Yang, Mohammad Reza Jokar, Junyi Qiu, Qiuwen Lou, Yuming Liu, Aditi Udupa, Frederic T. Chong, John M. Dallesasse, Milton Feng, Lynford L. Goddard, X. Sharon Hu, Yanjing Li

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

2019

Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image.

Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Light-Weight Wheel-Based Cable Inspection Climbing Robot: From Simulation to Reality.

Mingkang Zheng, Mingdai Yang, Xiaoqiang Yuan, Ning Ding

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018