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2020 – today
- 2024
[c12]Chen Wang
, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu:
Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. KDD 2024: 2970-2979- [c11]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Instruction-based Hypergraph Pretraining. SIGIR 2024: 501-511 - [c10]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu:
Knowledge Graph Context-Enhanced Diversified Recommendation. WSDM 2024: 462-471 - [c9]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Unified Pretraining for Recommendation via Task Hypergraphs. WSDM 2024: 891-900 - [i10]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Instruction-based Hypergraph Pretraining. CoRR abs/2403.19063 (2024) - 2023
- [j1]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:
A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. ACM J. Emerg. Technol. Comput. Syst. 19(2): 14:1-14:24 (2023) - [c8]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. IEEE Big Data 2023: 393-402 - [c7]Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu:
Multi-View Graph Convolution for Participant Recommendation. IEEE Big Data 2023: 5647-5656 - [c6]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CIKM 2023: 2969-2979 - [c5]Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu:
Graph-based Alignment and Uniformity for Recommendation. CIKM 2023: 4395-4399 - [c4]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. WSDM 2023: 769-777 - [i9]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CoRR abs/2308.08620 (2023) - [i8]Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu:
Graph-based Alignment and Uniformity for Recommendation. CoRR abs/2308.09292 (2023) - [i7]Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu:
Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. CoRR abs/2310.09400 (2023) - [i6]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu:
Knowledge Graph Context-Enhanced Diversified Recommendation. CoRR abs/2310.13253 (2023) - [i5]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Unified Pretraining for Recommendation via Task Hypergraphs. CoRR abs/2310.13286 (2023) - [i4]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. CoRR abs/2311.09577 (2023) - [i3]Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu:
Multi-view Graph Convolution for Participant Recommendation. CoRR abs/2311.12136 (2023) - 2022
- [i2]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. CoRR abs/2211.01830 (2022) - 2021
- [c3]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:
A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. ACM Great Lakes Symposium on VLSI 2021: 271-276
2010 – 2019
- 2019
- [c2]Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui:
Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image. CVPR 2019: 234-243 - [i1]Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui:
Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image. CoRR abs/1903.04019 (2019) - 2018
- [c1]Mingkang Zheng, Mingdai Yang, Xiaoqiang Yuan, Ning Ding:
A Light-Weight Wheel-Based Cable Inspection Climbing Robot: From Simulation to Reality. ROBIO 2018: 1365-1370
Coauthor Index
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