A Light-Weight Wheel-Based Cable Inspection Climbing Robot: From Simulation to Reality. - Mingkang Zheng; Mingdai Yang; Xiaoqiang Yuan; Ning Ding 003 (ROBIO, 2018)

Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image. - Xiaoguang Han 001; Zhaoxuan Zhang; Dong Du 002; Mingdai Yang; Jingming Yu; Pan Pan; Xin Yang 011; Ligang Liu 001; Zixiang Xiong; Shuguang Cui (CVPR, 2019)

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 (ACM Great Lakes Symposium on VLSI, 2021)

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. - Xiaolong Liu; Liangwei Yang; Zhiwei Liu 001; Xiaohan Li 001; Mingdai Yang; Chen Wang 052; Philip S. Yu (IEEE Big Data, 2023)

Multi-View Graph Convolution for Participant Recommendation. - Xiaolong Liu; Liangwei Yang; Chen Wang 052; Mingdai Yang; Zhiwei Liu 001; Philip S. Yu (IEEE Big Data, 2023)

Graph-based Alignment and Uniformity for Recommendation. - Liangwei Yang; Zhiwei Liu 001; Chen Wang 052; Mingdai Yang; Xiaolong Liu; Jing Ma 004; Philip S. Yu (CIKM, 2023)

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (CIKM, 2023)

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2023)

Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. - Chen Wang 052; Liangwei Yang; Zhiwei Liu 001; Xiaolong Liu; Mingdai Yang; Yueqing Liang; Philip S. Yu (CoRR, 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; et al. (ACM J. Emerg. Technol. Comput. Syst., 2023)

Collaborative Alignment for Recommendation. - Chen Wang 052; Liangwei Yang; Zhiwei Liu 001; Xiaolong Liu; Mingdai Yang; Yueqing Liang; Philip S. Yu (CIKM, 2024)

Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. - Chen Wang 052; Ziwei Fan 001; Liangwei Yang; Mingdai Yang; Xiaolong Liu; Zhiwei Liu 001; Philip S. Yu (KDD, 2024)

Instruction-based Hypergraph Pretraining. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (SIGIR, 2024)

Knowledge Graph Context-Enhanced Diversified Recommendation. - Xiaolong Liu; Liangwei Yang; Zhiwei Liu 001; Mingdai Yang; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

Unified Pretraining for Recommendation via Task Hypergraphs. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

Training Large Recommendation Models via Graph-Language Tokens Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems. - Mingdai Yang; Fan Yang 084; Yanhui Guo; Shaoyuan Xu; Tianchen Zhou; Yetian Chen; Simone Shao; Jia Liu 002; Yan Gao 029 (WWW (Companion Volume), 2025)

Training Large Recommendation Models via Graph-Language Token Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 018; Hao Peng 001; Philip S. Yu (CoRR, 2025)

Automating Personalization: Prompt Optimization for Recommendation Reranking. - Chen Wang; Mingdai Yang; Zhiwei Liu 001; Pan Li; Linsey Pang; Qingsong Wen; Philip S. Yu (CoRR, 2025)

AgentDR Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents. - Mingdai Yang; Nurendra Choudhary; Jiangshu Du; Edward W. Huang; Philip S. Yu; Karthik Subbian; Danai Kourta (CoRR, 2025)