Yiyue Qian

Email / CV / Google Scholar / LinkedIn / Github

Education

University of Notre Dame, PhD in Computer Science, South Bend USA, Jan. 2022 - Dec. 2023

Advisor: Prof. Yanfang Ye and Prof. Chuxu Zhang.

Case Western Reserve University, PhD in Computer Science, Cleveland USA, Sept. 2019 - Dec. 2021.

Advisor: Prof. Yanfang Ye.

University College London, Master in Statistics, London UK, Sept. 2016- Sept. 2017.

Advisor: Prof. Jinghao Xue.

Experience

Amazon AWS, Applied Scientist II, Seattle USA, Dec 2023 - present.

Amazon, Applied Scientist Intern, Seattle USA, May 2023 - Sept. 2023.

Amazon, Data Scientist Intern, Seattle USA, May 2022 - Aug. 2022.

PingAn Technology, NLP Algorithm Engineer, Shenzhen China, Jan. 2018- Aug. 2019.

Research

General: Artificial Intelligence, Generative AI, Deep Learning, Machine Learning, Data Mining

Research Direction: Large Language Models, Multi-modal Learning, Graph Representation Learning, Self-supervised Learning, Contrastive Learning, Few-shot Learning, Adversarial Learning

Application: Generative AI, Social Networks Mining, Fraud Detection, Cybersecurity

Publication

	Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement Yiyue Qian, Tianyi Ma, Chuxu Zhang, and Yanfang Ye. [WWW'24] The International World Wide Web Conference
	Hypergraph Contrastive Learning for Drug Trafficking Community Detection Tianyi Ma, Yiyue Qian, Chuxu Zhang, and Yanfang Ye. (co-first author) [ICDM'23] The IEEE International Conference on Data Mining
	Co-Modality Imbalanced Graph Contrastive Learning Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, and Chuxu Zhang. [NeurIPS'22] The Conference on Neural Information Processing Systems
	Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, and Chuxu Zhang. [KDD'22] The ACM SIGKDD Conference on Knowledge Discovery and Data Mining
	Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning Yiyue Qian, Yiming Zhang, Yanfang Ye, and Chuxu Zhang. [CIKM'22] The ACM Conference on Information and Knowledge Management
	Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media Yiyue Qian, Yiming Zhang, Yanfang Ye, and Chuxu Zhang. [NeurIPS'21] The Conference on Neural Information Processing Systems github
	Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection Yiyue Qian, Yiming Zhang, Yanfang Ye, and Chuxu Zhang. [IJCAI'21] The International Joint Conference on Artificial Intelligence
	Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs Yiming Zhang, Yiyue Qian, Yanfang Ye, and Chuxu Zhang. [SDM'22] The SIAM International Conference on Data Mining
	dstyle-gan: Generative adversarial network based on writing and photography styles for drug identification in darknet markets Yiming Zhang, Yiyue Qian, Yanfang Ye, and Chuxu Zhang. [ACSAC'20] The Annual Computer Security Applications Conference
	Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian , Yanfang Ye, and Chuxu Zhang. [KDD'22] The ACM SIGKDD Conference on Knowledge Discovery and Data Mining
	α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19 Yanfang Ye, Shifu Hou, Yujie Fan, Yiyue Qian, Yiming Zhang, Shiyu Sun, Qian Peng, Kenneth Laparo [JBHI'20] IEEE Journal of Biomedical and Health Informatics
	Community mitigation: A data-driven system for covid-19 risk assessment in a hierarchical manner Yanfang Ye, Yujie Fan, Shifu Hou, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth Loparo [CIKM'20] The ACM International Conference on Information and Knowledge Management

Award

NeurIPS Scholar Award, 2022

CIKM Student Travel Award, 2022

National Scholarship Award, 2014

National Encouragement Scholarship Award, 2013

Service

Senior Program Committee: CIKM'24.

Conference Program Committee Member: KDD'22, ICDM'22, WWW'22, AAAI'23, KDD'23, IJCAI'23, NeurIPS'23, AAAI'24, SDM'24, ICRL'24, WWW'24, ICML'24, KDD'24.

Journal Reviewer: The Journal of Neurocomputing, Transactions on Big Data, Transactions on Dependable and Secure Computing, Transactions on Dependable and Secure Computing, ACM Transactions on Privacy and Security, Transactions on Neural Networks and Learning System.

Outreach Program Judger: Learning Science Sphere Event at Northpoint Elementary School in 2023

Teaching

Teaching assistant of computer security (CSE-40567, CSDS 344)