Kernelized Bayesian Softmax for Text Generation. - Ning Miao; Hao Zhou 012; Chengqi Zhao; Wenxian Shi; Lei Li 005 (NeurIPS, 2019)

Fixing Gaussian Mixture VAEs for Interpretable Text Generation. - Wenxian Shi; Hao Zhou 012; Ning Miao; Shenjian Zhao; Lei Li 005 (CoRR, 2019)

Variational Template Machine for Data-to-Text Generation. - Rong Ye; Wenxian Shi; Hao Zhou 012; Zhongyu Wei; Lei Li 005 (ICLR, 2020)

Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation. - Wenxian Shi; Hao Zhou 012; Ning Miao; Lei Li 005 (ICML, 2020)

Follow Your Path: A Progressive Method for Knowledge Distillation. - Wenxian Shi; Yuxuan Song; Hao Zhou 012; Bohan Li; Lei Li 005 (ECML/PKDD (3), 2021)

Joint Design of Protein Sequence and Structure based on Motifs. - Zhenqiao Song; Yunlong Zhao 002; Yufei Song; Wenxian Shi; Yang Yang 059; Lei Li 005 (CoRR, 2023)

Functional Geometry Guided Protein Sequence and Backbone Structure Co-Design. - Zhenqiao Song; Yunlong Zhao 002; Wenxian Shi; Yang Yang 059; Lei Li 005 (CoRR, 2023)

Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates. - Zhenqiao Song; Yunlong Zhao 002; Wenxian Shi; Wengong Jin; Yang Yang 059; Lei Li 005 (ICML, 2024)

PROflow: An iterative refinement model for PROTAC-induced structure prediction. - Bo Qiang; Wenxian Shi; Yuxuan Song; Menghua Wu (CoRR, 2024)

Predicting sub-population specific viral evolution. - Wenxian Shi; Menghua Wu; Regina Barzilay (Trans. Mach. Learn. Res., 2025)