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)

Multi-information Source HIN for Medical Concept Embedding. - Yuwei Cao; Hao Peng 001; Philip S. Yu (PAKDD (2), 2020)

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. - Yuwei Cao; Hao Peng 001; Jia Wu 001; Yingtong Dou; Jianxin Li 002; Philip S. Yu (WWW, 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)

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 (ASITA, 2022)

From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection. - Jiaqian Ren; Lei Jiang 003; Hao Peng 001; Yuwei Cao; Jia Wu 001; Philip S. Yu; Lifang He 001 (CIKM, 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 (ICIAP Workshops, 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 001; Philip S. Yu (NAACL-HLT (Findings), 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 001; Philip S. Yu (CoRR, 2022)

Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. - Weizhi Zhang 001; Liangwei Yang; Yuwei Cao; Ke Xu; Yuanjie Zhu; Philip S. Yu (IEEE Big Data, 2023)

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. - Yuwei Cao; Liangwei Yang; Chen Wang 052; Zhiwei Liu 001; Hao Peng 001; Chenyu You; Philip S. Yu (RecSys, 2023)

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. - Yuwei Cao; Liangwei Yang; Chen Wang 018; Zhiwei Liu 001; Hao Peng 001; Chenyu You; Philip S. Yu (CoRR, 2023)

LLMRec: Benchmarking Large Language Models on Recommendation Task. - Junling Liu; Chao Liu 001; Peilin Zhou; Qichen Ye; Dading Chong; Kang Zhou; Yueqi Xie; Yuwei Cao; Shoujin Wang; Chenyu You; Philip S. Yu (CoRR, 2023)

The dynamics of octonion-valued neutral type high-order Hopfield neural networks with D operator. - Bing Li 020; Yuwei Cao; Yongkun Li 002 (J. Intell. Fuzzy Syst., 2023)

Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages. - Hao Peng 001; Ruitong Zhang; Shaoning Li; Yuwei Cao; Shirui Pan; Philip S. Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. - Jianxin Li 002; Hao Peng 001; Yuwei Cao; Yingtong Dou; Hekai Zhang; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2023)

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. - Yuwei Cao; Hao Peng 001; Zhengtao Yu 001; Philip S. Yu (AAAI, 2024)

Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation. - Yuqing Liu 003; Yu Wang 158; Yuwei Cao; Lichao Sun 001; Philip S. Yu (IEEE Big Data, 2024)

Aligning Large Language Models with Recommendation Knowledge. - Yuwei Cao; Nikhil Mehta 002; Xinyang Yi; Raghunandan Hulikal Keshavan; Lukasz Heldt; Lichan Hong; Ed H. Chi; Maheswaran Sathiamoorthy (NAACL-HLT (Findings), 2024)

Multi-Relational Structural Entropy. - Yuwei Cao; Hao Peng 001; Angsheng Li; Chenyu You; Zhifeng Hao; Philip S. Yu (UAI, 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)

Almost automorphic solutions in distribution for octonion-valued stochastic recurrent neural networks with time-varying delays. - Bing Li 020; Yuwei Cao; Yongkun Li 002 (Int. J. Syst. Sci., 2024)

Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications. - Chao-Chao Chen 001; Fei Zheng; Jamie Cui; Yuwei Cao; Guanfeng Liu 001; Jia Wu 001; Jun Zhou 011 (Int. J. Mach. Learn. Cybern., 2024)

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. - Yuwei Cao; Liangwei Yang; Zhiwei Liu 001; Yuqing Liu 003; Chen Wang 052; Yueqing Liang; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs. - Dayu Yang; Tianyang Liu 003; Daoan Zhang; Antoine Simoulin; Xiaoyi Liu; Yuwei Cao; Zhaopu Teng; Xin Qian; Grey Yang; Jiebo Luo 001; Julian J. McAuley (CoRR, 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, 2025)