Pengpeng Zhao

1. Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
   2019/11/13 by Xuesong Shi, Shi, Xuesong, Dongjiang Li +33 · 7 citations
   Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization #Soft Robotics and Applications
2. Contrastive Learning with Bidirectional Transformers for Sequential Recommendation
   2022/08/08 by Hanwen Du, Du, Hanwen, Hui Shi +13 · 4 citations
   Computer Science · #Recommender Systems and Techniques #Topic Modeling #Domain Adaptation and Few-Shot Learning
3. Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation
   2023/10/22 by Xiuyuan Qin, Huanhuan Yuan, Qin, Xiuyuan +9 · 4 citations
   Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning and ELM #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining
4. Robust SLAM Systems: Are We There Yet?
   2021/09/27 by Mihai Bujanca, Bujanca, Mihai, Xuesong Shi +9 · 2 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization #Underwater Vehicles and Communication Systems
5. Multi-Modality is All You Need for Transferable Recommender Systems
   2023/12/15 by Youhua Li, Li, Youhua, Hanwen Du +11 · 3 citations
   Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques #Topic Modeling
6. Graph Factorization Machines for Cross-Domain Recommendation
   2020/07/12 by Dongbo Xi, Xi, Dongbo, Fuzhen Zhuang +9 · 1 citation
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Information Retrieval (cs.IR) #Recommender Systems and Techniques
7. Sequential Recommendation with Diffusion Models
   2023/04/10 by Hanwen Du, Du, Hanwen, Huanhuan Yuan +7 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques
8. Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation
   2023/10/21 by Yongjing Hao, Pengpeng Zhao, Hao, Yongjing +13 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
9. CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs
   2024/08/06 by Shangfei Zheng, Hongzhi Yin, Zheng, Shangfei +9 · 1 citation
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Topic Modeling
10. Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation
    2018/06/18 by Pengpeng Zhao, Zhao, Pengpeng, Haifeng Zhu +9 · 1 citation
    Computer Science · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR) #Recommender Systems and Techniques