Yuwei Cao

According to our database, Yuwei Cao authored at least 27 papers between 2019 and 2025.

Collaborative distances:

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

2025

Deep learning for 3D point cloud processing - from approaches, tasks to its implications on urban and environmental applications.

Zhenxin Zhang, Zhihua Xu, Yuwei Cao, Ningli Xu, Shuye Wang, Shen'ao Cui, Zhen Li, Rongjun Qin

CoRR, September, 2025

DocAgent: A Multi-Agent System for Automated Code Documentation Generation.

Dayu Yang, Antoine Simoulin, Xin Qian, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Grey Yang

CoRR, April, 2025

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs.

Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Xin Qian, Grey Yang, Jiebo Luo, Julian J. McAuley

CoRR, February, 2025

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.

Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications.

Chao-Chao Chen, Fei Zheng, Jamie Cui, Yuwei Cao, Guanfeng Liu, Jia Wu, Jun Zhou

Int. J. Mach. Learn. Cybern., August, 2024

Almost automorphic solutions in distribution for octonion-valued stochastic recurrent neural networks with time-varying delays.

Bing Li, Yuwei Cao, Yongkun Li

Int. J. Syst. Sci., January, 2024

Manipulator based on Improved Photometric Stereo Reconstruction method.

Haofeng Wei, Yuwei Cao, Bo Tao, Chao Lu, Weidong Lv, Jianqiao Xu

Mechatron. Syst. Control., 2024

Multi-Relational Structural Entropy.

Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Aligning Large Language Models with Recommendation Knowledge.

Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation.

Yuqing Liu, Yu Wang, Yuwei Cao, Lichao Sun, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2024

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.

Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.

Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He

IEEE Trans. Knowl. Data Eng., 2023

Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages.

Hao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip S. Yu

IEEE Trans. Pattern Anal. Mach. Intell., 2023

The dynamics of octonion-valued neutral type high-order Hopfield neural networks with <i>D</i> operator.

Bing Li, Yuwei Cao, Yongkun Li

J. Intell. Fuzzy Syst., 2023

LLMRec: Benchmarking Large Language Models on Recommendation Task.

Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu

CoRR, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.

Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu

CoRR, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.

Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation.

Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.

Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alex Jaimes, Hao Peng, Philip S. Yu

CoRR, 2022

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.

Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alejandro Jaimes, Hao Peng, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Integration of Point Clouds from 360° Videos and Deep Learning Techniques for Rapid Documentation and Classification in Historical City Centers.

Yuwei Cao, Mattia Previtali, Luigi Barazzetti, Marco Scaioni

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.

Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Comprehensive Understanding of Machine Learning and Deep Learning Methods for 3D Architectural Cultural Heritage Point Cloud Semantic Segmentation.

Yuwei Cao, Simone Teruggi, Francesco Fassi, Marco Scaioni

Proceedings of the Geomatics for Green and Digital Transition - 25th Italian Conference, 2022

2021

Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method.

Hang Liu, Shi Tian, Xing Wang, Yuwei Cao, Ming Zeng, Yanbin Li

IEEE Access, 2021

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.

Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Multi-information Source HIN for Medical Concept Embedding.

Yuwei Cao, Hao Peng, Philip S. Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019

Using Geographic Ontologies and Geo-Characterization to Represent Geographic Scenarios.

Yi Huang, May Yuan, Yehua Sheng, Xiangqiang Min, Yuwei Cao

ISPRS Int. J. Geo Inf., 2019