Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines. - Xin Shen 003; Lingfeng Niu; Yingjie Tian 001; Yong Shi 001 (ICDM Workshops, 2015)

Support vector machine classifier with truncated pinball loss. - Xin Shen 003; Lingfeng Niu; Zhiquan Qi; Yingjie Tian 001 (Pattern Recognit., 2017)

A Novel Large-scale Ordinal Regression Model. - Yong Shi 001; Huadong Wang; Xin Shen 003; Lingfeng Niu (CoRR, 2018)

A fast algorithm for nonsmooth penalized clustering. - Ruizhi Zhou; Xin Shen 003; Lingfeng Niu (Neurocomputing, 2018)

Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks. - Yi Liao; Wai Lam; Lidong Bing; Xin Shen 003 (ACM Trans. Inf. Syst., 2018)

Two-stage Training for Learning from Label Proportions. - Jiabin Liu; Bo Wang 049; Xin Shen 003; Zhiquan Qi; Yingjie Tian 001 (IJCAI, 2021)

Joint Distribution Adaptation via Wasserstein Adversarial Training. - Xiaolu Wang; Wenyong Zhang; Xin Shen 003; Huikang Liu (IJCNN, 2021)

Towards Domain-Generalizable Paraphrase Identification by Avoiding the Shortcut Learning. - Xin Shen 003; Wai Lam (RANLP, 2021)

Improved Transformer With Multi-Head Dense Collaboration. - Huadong Wang; Xin Shen 003; Mei Tu; Yimeng Zhuang; Zhiyuan Liu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

A Unified Domain Adaptation Framework with Distinctive Divergence Analysis. - Zhiri Yuan; Xixu Hu; Qi Wu 009; Shumin Ma; Cheuk Hang Leung; Xin Shen 003; Yiyan Huang (Trans. Mach. Learn. Res., 2022)

Joint learning of text alignment and abstractive summarization for long documents via unbalanced optimal transport. - Xin Shen 003; Wai Lam; Shumin Ma; Huadong Wang (Nat. Lang. Eng., 2024)

Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection. - Jiabin Liu; Huadong Wang; Hanyuan Hang; Shumin Ma; Xin Shen 003; Yong Shi 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)