Learning from semantically dependent multi-tasks. - Bin Liu 022; Zenglin Xu; Bo Dai 001; Haoli Bai; Xianghong Fang; Yazhou Ren 001; Shandian Zhe (IJCNN, 2017)

Discrete Variational Attention Models for Language Generation. - Xianghong Fang; Haoli Bai; Zenglin Xu; Michael R. Lyu; Irwin King (CoRR, 2020)

DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification. - Xianghong Fang; Haoli Bai; Ziyi Guo; Bin Shen 002; Steven C. H. Hoi; Zenglin Xu (Neural Networks, 2020)

Discrete Auto-regressive Variational Attention Models for Text Modeling. - Xianghong Fang; Haoli Bai; Jian Li 054; Zenglin Xu; Michael R. Lyu; Irwin King (IJCNN, 2021)

Controlled Text Generation Using Dictionary Prior in Variational Autoencoders. - Xianghong Fang; Jian Li 054; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Dit-Yan Yeung (ACL (Findings), 2022)

Rethinking the Uniformity Metric in Self-Supervised Learning. - Xianghong Fang; Jian Li 054; Qiang Sun; Benyou Wang (ICLR, 2024)

Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study. - Xianghong Fang; Litao Guo; Hengchao Chen; Yuxuan Zhang; XiaofanXia; Dingjie Song; Yexin Liu; Hao Wang; Harry Yang; Yuan Yuan; Qiang Sun (CoRR, 2025)