Kangkang Lu

According to our database, Kangkang Lu authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

Can Large Language Models Improve Spectral Graph Neural Networks?

Kangkang Lu, Yanhua Yu, Zhiyong Huang, Tat-Seng Chua

CoRR, June, 2025

2024

Structures Aware Fine-Grained Contrastive Adversarial Hashing for Cross-Media Retrieval.

Meiyu Liang, Yawen Li, Yang Yu, Xiaowen Cao, Zhe Xue, Ang Li, Kangkang Lu

IEEE Trans. Knowl. Data Eng., July, 2024

Addressing Heterogeneity and Heterophily in Graphs: A Heterogeneous Heterophilic Spectral Graph Neural Network.

Kangkang Lu, Yanhua Yu, Zhiyong Huang, Jia Li, Yuling Wang, Meiyu Liang, Xiting Qin, Yimeng Ren, Tat-Seng Chua, Xidian Wang

CoRR, 2024

Information-Controllable Graph Contrastive Learning for Recommendation.

Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation.

Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua

Proceedings of the Knowledge Science, Engineering and Management, 2024

Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning.

Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua

Proceedings of the Knowledge Science, Engineering and Management, 2024

Unsupervised Multimodal Graph Contrastive Semantic Anchor Space Dynamic Knowledge Distillation Network for Cross-Media Hash Retrieval.

Yang Yu, Meiyu Liang, Mengran Yin, Kangkang Lu, Junping Du, Zhe Xue

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Hop-based Heterogeneous Graph Transformer.

Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction.

Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua

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

2023

Prior Knowledge Augmentation Network for Aspect-based Sentiment Analysis.

Min Feng, Yanhua Yu, Kangkang Lu, Zirui Guo, Xiuxiu Cai, Jie Li

Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023

Deep Unsupervised Momentum Contrastive Hashing for Cross-modal Retrieval.

Kangkang Lu, Yanhua Yu, Meiyu Liang, Min Zhang, Xiaowen Cao, Zehua Zhao, Mengran Yin, Zhe Xue

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Semantic Structure Enhanced Contrastive Adversarial Hash Network for Cross-media Representation Learning.

MeiYu Liang, Junping Du, Xiaowen Cao, Yang Yu, Kangkang Lu, Zhe Xue, Min Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Adversarial Guided Gradient Estimation Hashing for Cross-modal Retrieval.

Kangkang Lu, Meiyu Liang, Zhe Xue, Xiaowen Cao, Mengran Yin, Zehua Zhao

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022