Tianyu Li

According to our database, Tianyu Li authored at least 15 papers between 2018 and 2025.

Collaborative distances:

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

2025

LITE: LLM-Impelled efficient Taxonomy Evaluation.

Lin Zhang, Zhouhong Gu, Suhang Zheng, Tao Wang, Tianyu Li, Hongwei Feng, Yanghua Xiao

CoRR, April, 2025

ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection.

Xiaoxuan Zhu, Zhouhong Gu, Baiqian Wu, Suhang Zheng, Tao Wang, Tianyu Li, Hongwei Feng, Yanghua Xiao

CoRR, April, 2025

A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame Prediction.

Yongfan Chen, Xiuwen Zhu, Tianyu Li, Hao Chen, Chunhua Shen

CoRR, February, 2025

LLM-GAN: Constructing Generative Adversarial Network Through Large Language Models for Explainable Fake News Detection.

Yifeng Wang, Zhouhong Gu, Siwei Zhang, Suhang Zheng, Tao Wang, Tianyu Li, Hongwei Feng, Yanghua Xiao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization.

Zhouhong Gu, Xingzhou Chen, Xiaoran Shi, Tao Wang, Suhang Zheng, Tianyu Li, Hongwei Feng, Yanghua Xiao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection.

Yifeng Wang, Zhouhong Gu, Siwei Zhang, Suhang Zheng, Tao Wang, Tianyu Li, Hongwei Feng, Yanghua Xiao

CoRR, 2024

GraphGPT: Graph Learning with Generative Pre-trained Transformers.

Qifang Zhao, Weidong Ren, Tianyu Li, Xiaoxiao Xu, Hong Liu

CoRR, 2024

2023

UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing.

Qifang Zhao, Tianyu Li, Meng Du, Yu Jiang, Qinghui Sun, Zhongyao Wang, Hong Liu, Huan Xu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision.

Tianyu Li, Ali Cevahir, Derek Cho, Hao Gong, DuyKhuong Nguyen, Björn Stenger

CoRR, 2022

2021

Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization.

Ramin Raziperchikolaei, Tianyu Li, Young-joo Chung

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Modeling User Preferences Using Relative Feedback for Personalized Recommendations.

Saikishore Kalloori, Tianyu Li

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Learning to Profile: User Meta-Profile Network for Few-Shot Learning.

Hao Gong, Qifang Zhao, Tianyu Li, Derek Cho, DuyKhuong Nguyen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Item Recommendation by Combining Relative and Absolute Feedback Data.

Saikishore Kalloori, Tianyu Li, Francesco Ricci

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Learning Classifiers on Positive and Unlabeled Data with Policy Gradient.

Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Björn Stenger, Yu Hirate

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Deep Heterogeneous Autoencoders for Collaborative Filtering.

Tianyu Li, Yukun Ma, Jiu Xu, Björn Stenger, Chen Liu, Yu Hirate

CoRR, 2018