Yuyang Ye

38 papers A* 13A 3Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.
WWW
Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao
2026 J jnl
FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation.
CoRR
Yufei Ye, Wei Guo, Hao Wang, Luankang Zhang, Heng Chang, Hong Zhu, Yuyang Ye, Yong Liu, Defu Lian, Enhong Chen
2026 A* conf
Generative Data Transformation: From Mixed to Unified Data.
WWW
Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu, Enhong Chen
2026 J jnl
Generative Data Transformation: From Mixed to Unified Data.
CoRR
Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu, Enhong Chen
2026 — conf
Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent.
KDD (1)
Haocheng Yu, Yaxiong Wu, Hao Wang, Wei Guo, Yong Liu, Yawen Li, Yuyang Ye, Junping Du, Enhong Chen
2025 J jnl
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.
CoRR
Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao
2025 A* conf
Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness.
IJCAI
Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou
2025 — conf
FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer.
WWW (Companion Volume)
Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025 J jnl
FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer.
CoRR
Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025 J jnl
FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model.
CoRR
Yufei Ye, Wei Guo, Hao Wang, Hong Zhu, Yuyang Ye, Yong Liu, Huifeng Guo, Ruiming Tang, Defu Lian, Enhong Chen
2025 A* conf
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.
AAAI
Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong
2025 J jnl
How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control.
CoRR
Hao Yu, Chu Xin Cheng, Runlong Yu, Yuyang Ye, Shiwei Tong, Zhaofeng Liu, Defu Lian
2025 J jnl
Preference Trajectory Modeling via Flow Matching for Sequential Recommendation.
CoRR
Li Li, Mingyue Cheng, Yuyang Ye, Zhiding Liu, Enhong Chen
2025 A* conf
SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes.
ICML
Yishan Shen, Yuyang Ye, Hui Xiong, Yong Chen
2025 J jnl
SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes.
CoRR
Yishan Shen, Yuyang Ye, Hui Xiong, Yong Chen
2025 A* conf
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation.
WWW
Jiaqing Zhang, Mingjia Yin, Hao Wang, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen
2025 J jnl
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation.
CoRR
Jiaqing Zhang, Mingjia Yin, Hao Wang, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen
2025 J jnl
Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent.
CoRR
Haocheng Yu, Yaxiong Wu, Hao Wang, Wei Guo, Yong Liu, Yawen Li, Yuyang Ye, Junping Du, Enhong Chen
2024 A conf
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
CIKM
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng
2024 J jnl
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.
CoRR
Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong
2024 J jnl
LLM-enhanced Reranking in Recommender Systems.
CoRR
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang
2024 A conf
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
CIKM
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 A* conf
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
KDD
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
2024 J jnl
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
CoRR
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
2024 J jnl
Scaling New Frontiers: Insights into Large Recommendation Models.
CoRR
Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2024 A* conf
Tackling Uncertain Correspondences for Multi-Modal Entity Alignment.
NeurIPS
Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong
2024 J jnl
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach.
IEEE Trans. Knowl. Data Eng.
Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong
2023 A* conf
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction.
KDD
Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen
2023 A* conf
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.
ICDE
Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma
2023 J jnl
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, Hui Xiong
2022 J jnl
Collaborative List-and-Pairwise Filtering From Implicit Feedback.
IEEE Trans. Knowl. Data Eng.
Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma
2021 — conf
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.
PAKDD (2)
Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen
2021 J jnl
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.
CoRR
Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen
2019 A* conf
Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.
ICDM
Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong
2019 J jnl
Long-term Joint Scheduling for Urban Traffic.
CoRR
Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen
2018 A conf
Multiple Pairwise Ranking with Implicit Feedback.
CIKM
Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen
2018 A* conf
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach.
IJCAI
Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du
2016 A* conf
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
ICDM
Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong