Likang Wu

According to our database, Likang Wu authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

2024

SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction.

Lei Zhang, Wuji Zhang, Likang Wu, Ming He, Hongke Zhao

ACM Trans. Web, February, 2024

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.

Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen

CoRR, 2024

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.

Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen

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

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.

Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu

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

2023

Multi-view enhanced zero-shot node classification.

Jiahui Wang, Likang Wu, Hongke Zhao, Ning Jia

Inf. Process. Manag., November, 2023

Forecasting movements of stock time series based on hidden state guided deep learning approach.

Junji Jiang, Likang Wu, Hongke Zhao, Hengshu Zhu, Wei Zhang

Inf. Process. Manag., May, 2023

Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks.

Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen

ACM Trans. Knowl. Discov. Data, 2023

Generative Job Recommendations with Large Language Model.

Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong

CoRR, 2023

A Survey on Large Language Models for Recommendation.

Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen

CoRR, 2023

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.

Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.

Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.

Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2023

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.

Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation.

Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.

Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Estimating fund-raising performance for start-up projects from a market graph perspective.

Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen

Pattern Recognit., 2022

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction.

Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure.

Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning the Implicit Semantic Representation on Graph-Structured Data.

Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Learning the Compositional Visual Coherence for Complementary Recommendations.

Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model.

Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Long-term Joint Scheduling for Urban Traffic.

Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen

CoRR, 2019