Shaowen Peng

According to our database, Shaowen Peng authored at least 19 papers between 2016 and 2026.

Collaborative distances:

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

2026

Can Large Language Models Imitate Human Speech for Clinical Assessment? LLM-Driven Data Augmentation for Cognitive Score Prediction.

Si-Belkacem Yamine Ketir, Lenard Paulo Tamayo, Shohei Hisada, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki

CoRR, May, 2026

Estimating Shared Mental Models via Communication-Categorized Directed Graphs.

Hiroaki Tanaka, Wataru Yamada, Keiichi Ochiai, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Balancing Embedding Spectrum for Recommendation.

Shaowen Peng, Kazunari Sugiyama, Xin Liu, Tsunenori Mine

Trans. Recomm. Syst., December, 2025

GenKP: generative knowledge prompts for enhancing large language models.

Xinbai Li, Shaowen Peng, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki

Appl. Intell., April, 2025

Toward Diversified Graph Recommendation via Semantic and Topology Augmentation With LLMs.

Zachary Samson Pangan, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki

IEEE Access, 2025

NAISTym at the NTCIR-18 MedNLP-CHAT: ClassifyingPatient-Chatbot Conversations with Objective and SubjectiveAssessments Using Prompting Techniques.

Lenard Paulo Velasco Tamayo, Saidah Z. Jannah, Mohamad Alnajjar, Axalia Levenchaud, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki

Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies, 2025

UPxSocio at NTCIR-18 MedNLP-CHAT Task: Similarity-BasedFew-Shot Example Selection for Prompt-Based Detection.

Michael van Supranes, Martin Augustine B. Borlongan, Joseph Ryan G. Lansangan, Genelyn Ma. Sarte, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki

Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies, 2025

Abbreviation Expansion Using a Single Word as Context.

Jude Crener Junior Pierre, Gabriel Herman Bernardim Andrade, Shaowen Peng, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

Enhancing Hate Speech Classifiers through a Gradient-assisted Counterfactual Text Generation Strategy.

Michael van Supranes, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation.

Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine

ACM Trans. Inf. Syst., May, 2024

How Powerful is Graph Filtering for Recommendation.

Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

Less is More: Reweighting Important Spectral Graph Features for Recommendation.

Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation.

Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering.

Shaowen Peng, Tsunenori Mine

CoRR, 2020

Mixture-preference bayesian matrix factorization for implicit feedback datasets.

Shaowen Peng, Tsunenori Mine

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019

融合深度学习和因子分解机的兴趣点签到预测研究 (Study on Check-in Prediction Based on Deep Learning and Factorization Machine).

Chang Su, Shaowen Peng, Xianzhong Xie, Ningning Liu

计算机科学, 2019

TSWNN+: Check-in Prediction Based on Deep Learning and Factorization Machine.

Chang Su, Ningning Liu, Xianzhong Xie, Shaowen Peng

Proceedings of the Big Data Innovations and Applications, 2019

2018

Vector Representation Based Model Considering Randomness of User Mobility for Predicting Potential Users.

Shaowen Peng, Xianzhong Xie, Tsunenori Mine, Chang Su

Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

2016

Gain fluctuation in microwave photonic phase shifters based on stimulated Brillouin scattering.

Shaowen Peng, Zhiyao Zhang, Qihao Yang, Di Peng, Yali Zhang, Yong Liu

Proceedings of the 25th Wireless and Optical Communication Conference, 2016