Yang Aron Liu

According to our database, Yang Aron Liu authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

Deep Reinforcement Learning Based Data-Driven Mapping Mechanism of Digital Twin for Internet of Energy.

Siyu Xu, Xin Guan, Yu Peng, Yang Liu, Chen Cui, Hongyang Chen, Tomoaki Ohtsuki, Zhu Han

IEEE Trans. Netw. Sci. Eng., 2024

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding.

Yang Liu, Chuan Zhou, Peng Zhang, Yanan Cao, Yongchao Liu, Zhao Li, Hongyang Chen

CoRR, 2024

Decision-focused Graph Neural Networks for Combinatorial Optimization.

Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen

CoRR, 2024

Combinatorial Optimization with Automated Graph Neural Networks.

Yang Liu, Peng Zhang, Yang Gao, Chuan Zhou, Zhao Li, Hongyang Chen

CoRR, 2024

MQuinE: a cure for "Z-paradox" in knowledge graph embedding models.

Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun

CoRR, 2024

Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services.

Yang Liu, Chuan Zhou, Huang Fang, Peng Zhang, Yiling Pang, Qingzhao Zhang, Zhao Li, Hongyang Chen

Proceedings of the IEEE International Conference on Web Services, 2024

Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services.

Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu

Proceedings of the IEEE International Conference on Web Services, 2024

Neural Jump-Diffusion Temporal Point Processes.

Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs.

Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Peng Zhang, Chuan Zhou, Qingyun Liu, Hongyang Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

MQuinE: a Cure for "Z-paradox" in Knowledge Graph Embedding.

Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing.

Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang

Proceedings of the ACM Web Conference 2023, 2023

MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules.

Huang Fang, Yang Liu, Yunfeng Cai, Mingming Sun

Proceedings of the ACM Web Conference 2023, 2023

Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences.

Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen

Proceedings of the IEEE International Conference on Data Mining, 2023

Decision-focused Graph Neural Networks for Graph Learning and Optimization.

Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen

Proceedings of the IEEE International Conference on Data Mining, 2023

2019

SFDS: A Self-Feedback Detection System for DNS Hijacking Based on Multi-Protocol Cross Validation.

Caiyun Huang, Peng Zhang, Yong Sun, Yujia Zhu, Yang Liu

Proceedings of the 26th International Conference on Telecommunications, 2019

2017

WiFi fingerprint releasing for indoor localization based on differential privacy.

Yujia Zhu, Yu Wang, Qingyun Liu, Yang Liu, Peng Zhang

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017