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2020 – today
- 2024
[c13]Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin:
MDAN: Multi-distribution Adaptive Networks for LTV Prediction. PAKDD (3) 2024: 409-420- [c12]Hanyu Li
, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma:
Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. SIGIR 2024: 2081-2090 - [i6]Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma:
Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. CoRR abs/2403.20296 (2024) - 2023
- [c11]Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo:
Online Volume Optimization for Notifications via Long Short-Term Value Modeling. PAKDD (3) 2023: 16-28 - 2022
- [c10]Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He, Jing Cai:
Causal Enhanced Uplift Model. PAKDD (3) 2022: 119-131 - [c9]Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai, Zhongyu Wei:
Learning Discriminative Representation Base on Attention for Uplift. PAKDD (3) 2022: 200-211 - [c8]Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong:
Modeling User Repeat Consumption Behavior for Online Novel Recommendation. RecSys 2022: 14-24 - [i5]Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong:
Modeling User Repeat Consumption Behavior for Online Novel Recommendation. CoRR abs/2209.01963 (2022) - 2021
- [c7]Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen:
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. CIKM 2021: 3737-3746 - [c6]Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He:
Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value. KDD 2021: 3806-3816 - [c5]Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He:
Aspect-Sentiment-Multiple-Opinion Triplet Extraction. NLPCC (1) 2021: 583-594 - [i4]Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He:
Aspect-Sentiment-Multiple-Opinion Triplet Extraction. CoRR abs/2110.07303 (2021) - 2020
- [c4]Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Huiqiang Zhong, Jinchang Luo, Siqi Xu, Xiaohui Wu:
Better Queries for Aspect-Category Sentiment Classification. CNCL 2020: 347-358 - [c3]Yuncong Li, Zhe Yang, Cunxiang Yin, Xu Pan, Lunan Cui, Qiang Huang, Ting Wei:
A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer. CNCL 2020: 388-400 - [c2]Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Xu Pan:
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis. EMNLP (1) 2020: 3550-3560 - [c1]Yuncong Li, Cunxiang Yin, Sheng-hua Zhong:
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks. NLPCC (1) 2020: 815-827 - [i3]Huiqiang Zhong, Cunxiang Yin, Xiaohui Wu, Jinchang Luo, JiaWei He:
AirRL: A Reinforcement Learning Approach to Urban Air Quality Inference. CoRR abs/2003.12205 (2020) - [i2]Yuncong Li, Cunxiang Yin, Sheng-hua Zhong:
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks. CoRR abs/2010.01461 (2020) - [i1]Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Xu Pan:
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis. CoRR abs/2010.02656 (2020)
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last updated on 2024-08-02 20:18 CEST by the dblp team
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