Jiarui Jin

According to our database, Jiarui Jin authored at least 23 papers between 2019 and 2024.

Collaborative distances:

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

2024

An Aligning and Training Framework for Multimodal Recommendations.

Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Weinan Zhang

CoRR, 2024

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization.

Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley

CoRR, 2024

2023

Debiased Recommendation with User Feature Balancing.

Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen

ACM Trans. Inf. Syst., October, 2023

AITST - Affective EEG-based person identification via interrelated temporal-spatial transformer.

Honghua Cai, Jiarui Jin, Haoyu Wang, Liujiang Li, Yucui Huang, Jiahui Pan

Pattern Recognit. Lett., October, 2023

Lending Interaction Wings to Recommender Systems with Conversational Agents.

Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank.

Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Spatio-Temporal Swin Transformer-based 4-D EEG Emotion Recognition.

Zongnan Chen, Jiarui Jin, Jiahui Pan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation.

Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.

Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola

ACM Trans. Inf. Syst., 2022

Learning Enhanced Representations for Tabular Data via Neighborhood Propagation.

Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf

CoRR, 2022

Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation.

Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data.

Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Enhanced Representation for Tabular Data via Neighborhood Propagation.

Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Why Propagate Alone? Parallel Use of Labels and Features on Graphs.

Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf

Proceedings of the Tenth International Conference on Learning Representations, 2022

Inductive Relation Prediction Using Analogy Subgraph Embeddings.

Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Multi-Scale User Behavior Network for Entire Space Multi-Task Learning.

Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu

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

Popular Music Production Trend Analysis and Prediction Research.

Mingyue Zheng, Jiarui Jin

Proceedings of the 6th International Conference on Computer-Human Interaction Research and Applications, 2022

2020

Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.

Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola

CoRR, 2020

User Behavior Retrieval for Click-Through Rate Prediction.

Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Deep Recurrent Survival Model for Unbiased Ranking.

Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.

Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.

Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.

Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019