Likang Wu

Orcid: 0000-0002-4929-8587

According to our database1, Likang Wu authored at least 37 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Caption matters: a new perspective for knowledge-based visual question answering.
Knowl. Inf. Syst., November, 2024

A survey on large language models for recommendation.
World Wide Web (WWW), September, 2024

SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction.
ACM Trans. Web, February, 2024

GTR: An explainable Graph Topic-aware Recommender for scholarly document.
Electron. Commer. Res. Appl., 2024

Team formation in large organizations: A deep reinforcement learning approach.
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

Dr.E Bridges Graphs with Large Language Models through Words.
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

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
CoRR, 2024

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation.
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

I-AM-G: Interest Augmented Multimodal Generator for Item Personalization.
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
Multi-view enhanced zero-shot node classification.
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

Generative Job Recommendations with Large Language Model.
CoRR, 2023

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.
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

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

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

Learning the Implicit Semantic Representation on Graph-Structured Data.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Learning the Compositional Visual Coherence for Complementary Recommendations.
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
Long-term Joint Scheduling for Urban Traffic.
CoRR, 2019


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