Tianyu Li - RankMe

21 papers A* 5A 1Misc 2Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame Prediction. CoRR Yongfan Chen, Xiuwen Zhu, Tianyu Li, Hao Chen, Chunhua Shen
2025	—	`conf`	GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization. ACL (1) Zhouhong Gu, Xingzhou Chen, Xiaoran Shi, Tao Wang, Suhang Zheng, Tianyu Li, Hongwei Feng, Yanghua Xiao
2025	J	`jnl`	GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization. CoRR Zhouhong Gu, Xingzhou Chen, Xiaoran Shi, Tao Wang, Suhang Zheng, Tianyu Li, Hongwei Feng, Yanghua Xiao
2025	A*	`conf`	GraphGPT: Generative Pre-trained Graph Eulerian Transformer. ICML Qifang Zhao, Weidong Ren, Tianyu Li, Hong Liu, Xingsheng He, Xiaoxiao Xu
2025	J	`jnl`	LITE: LLM-Impelled efficient Taxonomy Evaluation. CoRR Lin Zhang, Zhouhong Gu, Suhang Zheng, Tao Wang, Tianyu Li, Hongwei Feng, Yanghua Xiao
2025	Misc	`conf`	LLM-GAN: Constructing Generative Adversarial Network Through Large Language Models for Explainable Fake News Detection. ICASSP Yifeng Wang, Zhouhong Gu, Siwei Zhang, Suhang Zheng, Tao Wang, Tianyu Li, Hongwei Feng, Yanghua Xiao
2025	J	`jnl`	ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection. CoRR Xiaoxuan Zhu, Zhouhong Gu, Baiqian Wu, Suhang Zheng, Tao Wang, Tianyu Li, Hongwei Feng, Yanghua Xiao
2024	J	`jnl`	GraphGPT: Graph Learning with Generative Pre-trained Transformers. CoRR Qifang Zhao, Weidong Ren, Tianyu Li, Xiaoxiao Xu, Hong Liu
2024	J	`jnl`	LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection. CoRR Yifeng Wang, Zhouhong Gu, Siwei Zhang, Suhang Zheng, Tao Wang, Tianyu Li, Hongwei Feng, Yanghua Xiao
2023	A*	`conf`	UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing. ICDE Qifang Zhao, Tianyu Li, Meng Du, Yu Jiang, Qinghui Sun, Zhongyao Wang, Hong Liu, Huan Xu
2023	J	`jnl`	UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing. CoRR Qifang Zhao, Tianyu Li, Meng Du, Yu Jiang, Qinghui Sun, Zhongyao Wang, Hong Liu, Huan Xu
2022	J	`jnl`	UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision. CoRR Tianyu Li, Ali Cevahir, Derek Cho, Hao Gong, DuyKhuong Nguyen, Björn Stenger
2021	A*	`conf`	Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization. SIGIR Ramin Raziperchikolaei, Tianyu Li, Young-joo Chung
2020	A	`conf`	Learning to Profile: User Meta-Profile Network for Few-Shot Learning. CIKM Hao Gong, Qifang Zhao, Tianyu Li, Derek Cho, DuyKhuong Nguyen
2020	J	`jnl`	Learning to Profile: User Meta-Profile Network for Few-Shot Learning. CoRR Hao Gong, Qifang Zhao, Tianyu Li, Derek Cho, DuyKhuong Nguyen
2020	Misc	`conf`	Modeling User Preferences Using Relative Feedback for Personalized Recommendations. FLAIRS Saikishore Kalloori, Tianyu Li
2020	J	`jnl`	Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization. CoRR Ramin Raziperchikolaei, Tianyu Li, Young-joo Chung
2019	A*	`conf`	Item Recommendation by Combining Relative and Absolute Feedback Data. SIGIR Saikishore Kalloori, Tianyu Li, Francesco Ricci
2019	A*	`conf`	Learning Classifiers on Positive and Unlabeled Data with Policy Gradient. ICDM Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Björn Stenger, Yu Hirate
2019	J	`jnl`	Learning Classifiers on Positive and Unlabeled Data with Policy Gradient. CoRR Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Björn Stenger, Yu Hirate
2018	J	`jnl`	Deep Heterogeneous Autoencoders for Collaborative Filtering. CoRR Tianyu Li, Yukun Ma, Jiu Xu, Björn Stenger, Chen Liu, Yu Hirate