Likang Wu
Orcid: 0000-0002-4929-8587
According to our database1,
Likang Wu
authored at least 37 papers
between 2019 and 2024.
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Bibliography
2024
Knowl. Inf. Syst., November, 2024
World Wide Web (WWW), September, 2024
SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction.
ACM Trans. Web, February, 2024
Electron. Commer. Res. Appl., 2024
Decis. Support Syst., 2024
GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts.
CoRR, 2024
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation.
CoRR, 2024
LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation.
CoRR, 2024
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling.
CoRR, 2024
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning.
CoRR, 2024
From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition.
CoRR, 2024
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Inf. Process. Manag., November, 2023
Forecasting movements of stock time series based on hidden state guided deep learning approach.
Inf. Process. Manag., May, 2023
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks.
ACM Trans. Knowl. Discov. Data, 2023
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.
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.
Proceedings of the Database Systems for Advanced Applications, 2023
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
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.
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.
Pattern Recognit., 2022
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.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the Database Systems for Advanced Applications, 2021
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019