Yuwei Cao

37 papers A* 3A 3B 2Journal 22Unranked 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs.
EMNLP
Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Xin Qian, Grey Yang, Jiebo Luo, Julian J. McAuley
2025 J jnl
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs.
CoRR
Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Xin Qian, Grey Yang, Jiebo Luo, Julian J. McAuley
2025 J jnl
Deep learning for 3D point cloud processing - from approaches, tasks to its implications on urban and environmental applications.
CoRR
Zhenxin Zhang, Zhihua Xu, Yuwei Cao, Ningli Xu, Shuye Wang, Shen'ao Cui, Zhen Li, Rongjun Qin
2025 — conf
DocAgent: A Multi-Agent System for Automated Code Documentation Generation.
ACL (3)
Dayu Yang, Antoine Simoulin, Xin Qian, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Grey Yang
2025 J jnl
DocAgent: A Multi-Agent System for Automated Code Documentation Generation.
CoRR
Dayu Yang, Antoine Simoulin, Xin Qian, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Grey Yang
2025 — conf
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.
WWW (Companion Volume)
Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2024 — conf
Aligning Large Language Models with Recommendation Knowledge.
NAACL-HLT (Findings)
Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy
2024 J jnl
Aligning Large Language Models with Recommendation Knowledge.
CoRR
Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan H. Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy
2024 J jnl
Almost automorphic solutions in distribution for octonion-valued stochastic recurrent neural networks with time-varying delays.
Int. J. Syst. Sci.
Bing Li, Yuwei Cao, Yongkun Li
2024 J jnl
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.
CoRR
Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2024 A* conf
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.
AAAI
Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu
2024 J jnl
Manipulator based on Improved Photometric Stereo Reconstruction method.
Mechatron. Syst. Control.
Haofeng Wei, Yuwei Cao, Bo Tao, Chao Lu, Weidong Lv, Jianqiao Xu
2024 A conf
Multi-Relational Structural Entropy.
UAI
Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
2024 J jnl
Multi-Relational Structural Entropy.
CoRR
Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
2024 J jnl
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications.
Int. J. Mach. Learn. Cybern.
Chao-Chao Chen, Fei Zheng, Jamie Cui, Yuwei Cao, Guanfeng Liu, Jia Wu, Jun Zhou
2024 B conf
Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation.
IEEE Big Data
Yuqing Liu, Yu Wang, Yuwei Cao, Lichao Sun, Philip S. Yu
2023 B conf
Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation.
IEEE Big Data
Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu
2023 J jnl
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.
CoRR
Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu
2023 J jnl
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
2023 J jnl
LLMRec: Benchmarking Large Language Models on Recommendation Task.
CoRR
Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
2023 A conf
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
RecSys
Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
2023 J jnl
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
CoRR
Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
2023 J jnl
Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip S. Yu
2023 J jnl
The dynamics of octonion-valued neutral type high-order Hopfield neural networks with
J. Intell. Fuzzy Syst.
Bing Li, Yuwei Cao, Yongkun Li
2022 — conf
A Comprehensive Understanding of Machine Learning and Deep Learning Methods for 3D Architectural Cultural Heritage Point Cloud Semantic Segmentation.
ASITA
Yuwei Cao, Simone Teruggi, Francesco Fassi, Marco Scaioni
2022 J jnl
Edge computing-Based mobile object tracking in internet of things.
High Confid. Comput.
Yalong Wu, Pu Tian, Yuwei Cao, Linqiang Ge, Wei Yu
2022 A conf
From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.
CIKM
Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
2022 J jnl
From Known to Unknown: Quality-aware Self-improving Graph Neural Network for Open Set Social Event Detection.
CoRR
Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
2022 — conf
Integration of Point Clouds from 360° Videos and Deep Learning Techniques for Rapid Documentation and Classification in Historical City Centers.
ICIAP Workshops
Yuwei Cao, Mattia Previtali, Luigi Barazzetti, Marco Scaioni
2022 — conf
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.
NAACL-HLT (Findings)
Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alejandro Jaimes, Hao Peng, Philip S. Yu
2022 J jnl
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.
CoRR
Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alex Jaimes, Hao Peng, Philip S. Yu
2021 J jnl
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
CoRR
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
2021 A* conf
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
WWW
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021 J jnl
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
CoRR
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021 J jnl
Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method.
IEEE Access
Hang Liu, Shi Tian, Xing Wang, Yuwei Cao, Ming Zeng, Yanbin Li
2020 — conf
Multi-information Source HIN for Medical Concept Embedding.
PAKDD (2)
Yuwei Cao, Hao Peng, Philip S. Yu
2019 J jnl
Using Geographic Ontologies and Geo-Characterization to Represent Geographic Scenarios.
ISPRS Int. J. Geo Inf.
Yi Huang, May Yuan, Yehua Sheng, Xiangqiang Min, Yuwei Cao