Cunxiang Yin

According to our database, Cunxiang Yin authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation.

Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma

CoRR, 2024

2023

Online Volume Optimization for Notifications via Long Short-Term Value Modeling.

Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Modeling User Repeat Consumption Behavior for Online Novel Recommendation.

Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Learning Discriminative Representation Base on Attention for Uplift.

Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai, Zhongyu Wei

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Causal Enhanced Uplift Model.

Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He, Jing Cai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Aspect-Sentiment-Multiple-Opinion Triplet Extraction.

Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value.

Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation.

Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

AirRL: A Reinforcement Learning Approach to Urban Air Quality Inference.

Huiqiang Zhong, Cunxiang Yin, Xiaohui Wu, Jinchang Luo, JiaWei He

CoRR, 2020

Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks.

Yuncong Li, Cunxiang Yin, Sheng-hua Zhong

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis.

Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Xu Pan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Better Queries for Aspect-Category Sentiment Classification.

Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Huiqiang Zhong, Jinchang Luo, Siqi Xu, Xiaohui Wu

Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020

A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer.

Yuncong Li, Zhe Yang, Cunxiang Yin, Xu Pan, Lunan Cui, Qiang Huang, Ting Wei

Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020