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 (CNCL, 2020)

Better Queries for Aspect-Category Sentiment Classification. - Yuncong Li; Cunxiang Yin; Sheng-hua Zhong; Huiqiang Zhong; Jinchang Luo; Siqi Xu; Xiaohui Wu (CNCL, 2020)

Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis. - Yuncong Li; Cunxiang Yin; Sheng-hua Zhong; Xu Pan (EMNLP (1), 2020)

Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks. - Yuncong Li; Cunxiang Yin; Sheng-hua Zhong (NLPCC (1), 2020)

AirRL: A Reinforcement Learning Approach to Urban Air Quality Inference. - Huiqiang Zhong; Cunxiang Yin; Xiaohui Wu; Jinchang Luo; JiaWei He (CoRR, 2020)

Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. - Shuqing Bian; Wayne Xin Zhao; Kun Zhou 002; Jing Cai; Yancheng He; Cunxiang Yin; Ji-Rong Wen (CIKM, 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 (KDD, 2021)

Aspect-Sentiment-Multiple-Opinion Triplet Extraction. - Fang Wang; Yuncong Li; Sheng-hua Zhong; Cunxiang Yin; Yancheng He (NLPCC (1), 2021)

Causal Enhanced Uplift Model. - Xiaofeng He; Guoqiang Xu; Cunxiang Yin; Zhongyu Wei; Yuncong Li; Yancheng He; Jing Cai (PAKDD (3), 2022)

Learning Discriminative Representation Base on Attention for Uplift. - Guoqiang Xu; Cunxiang Yin; Yuchen Zhang; Yuncong Li; Yancheng He; Jing Cai; Zhongyu Wei (PAKDD (3), 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 (RecSys, 2022)

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 (PAKDD (3), 2023)

An Iterative Framework for Document-Level Event Argument Extraction Assisted by Long Short-Term Memory. - Tao You; Zejun Li; Zhihao Fan; Cunxiang Yin; Yancheng He; Jing Cai; Jinhua Fu; Zhongyu Wei (NLPCC (2), 2024)

MDAN: Multi-distribution Adaptive Networks for LTV Prediction. - Wenshuang Liu; Guoqiang Xu; Bada Ye; Xinji Luo; Yancheng He; Cunxiang Yin (PAKDD (3), 2024)

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. - Hanyu Li; Weizhi Ma; Peijie Sun; Jiayu Li 001; Cunxiang Yin; Yancheng He; Guoqiang Xu; Min Zhang 006; Shaoping Ma (SIGIR, 2024)

Bridging the Domain Gap in Grounded Situation Recognition via Unifying Event Extraction across Modalities. - Qingwen Liu 002; Zejun Li; Zhihao Fan; Cunxiang Yin; Yancheng He; Jing Cai; Jinhua Fu; Zhongyu Wei (Data Intell., 2025)