Neural News Recommendation with Heterogeneous User Behavior. - Chuhan Wu; Fangzhao Wu; Mingxiao An; Tao Qi; Jianqiang Huang 004; Yongfeng Huang 001; Xing Xie 001 (EMNLP/IJCNLP (1), 2019)

Neural News Recommendation with Attentive Multi-View Learning. - Chuhan Wu; Fangzhao Wu; Mingxiao An; Jianqiang Huang 004; Yongfeng Huang 001; Xing Xie 001 (IJCAI, 2019)

AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018. - Zhipeng Luo; Jianqiang Huang 004; Ke Hu; Xue Li; Peng Zhang 002 (KDD, 2019)

NPA: Neural News Recommendation with Personalized Attention. - Chuhan Wu; Fangzhao Wu; Mingxiao An; Jianqiang Huang 004; Yongfeng Huang 001; Xing Xie 001 (KDD, 2019)

AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data. - Zhipeng Luo; Zhixing He; Jin Wang; Manqing Dong; Jianqiang Huang 004; Mingjian Chen; Bohang Zheng (KDD, 2021)

Deep Position-wise Interaction Network for CTR Prediction. - Jianqiang Huang 004; Ke Hu; Qingtao Tang; Mingjian Chen; Yi Qi; Jia Cheng; Jun Lei (SIGIR, 2021)

Deep Presentation Bias Integrated Framework for CTR Prediction. - Jianqiang Huang 004; Xingyuan Tang; Zhe Wang; Shaolin Jia; Yin Bai; Zhiwei Liu; Jia Cheng; Jun Lei; Yan Zhang (CIKM, 2022)

AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020. - Jin Xu 010; Mingjian Chen; Jianqiang Huang 004; Xingyuan Tang; Ke Hu; Jian Li 015; Jia Cheng; Jun Lei (ICDE, 2022)

Continual Learning for CTR Prediction: A Hybrid Approach. - Ke Hu; Yi Qi; Jianqiang Huang 004; Jia Cheng; Jun Lei (CoRR, 2022)