Global discriminative model for dependency parsing in NLP pipeline. - Miao Li 003; Hongyi Ding; Ji Wu 002 (ISCSLP, 2014)

Predicting Retweet Scale Using Log-Normal Distribution. - Hongyi Ding; Ji Wu 002 (BigMM, 2015)

Reinterpreting the Transformation Posterior in Probabilistic Image Registration. - Jie Luo 003; Karteek Popuri; Dana Cobzas; Hongyi Ding; Masashi Sugiyama (CoRR, 2016)

Misdirected Registration Uncertainty. - Jie Luo 003; Karteek Popuri; Dana Cobzas; Hongyi Ding; William M. Wells III; Masashi Sugiyama (CoRR, 2017)

Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling. - Hongyi Ding; Mohammad Emtiyaz Khan; Issei Sato; Masashi Sugiyama (AISTATS, 2018)

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. - Jie Luo 003; Matthew Toews; Inês Machado; Sarah F. Frisken; Miaomiao Zhang 002; Frank Preiswerk; Alireza Sedghi; Hongyi Ding; Steve Pieper 001; Polina Golland; Alexandra J. Golby; Masashi Sugiyama; et al. (MICCAI (4), 2018)

Variational Inference for Gaussian Processes with Panel Count Data. - Hongyi Ding; Young Lee; Issei Sato; Masashi Sugiyama (UAI, 2018)

On the Ambiguity of Registration Uncertainty. - Jie Luo 003; Sarah F. Frisken; Karteek Popuri; Dana Cobzas; Frank Preiswerk; Matthew Toews; Miaomiao Zhang 002; Hongyi Ding; Polina Golland; Alexandra J. Golby; Masashi Sugiyama; William M. Wells III (CoRR, 2018)

RakutenAI-7B: Extending Large Language Models for Japanese. - Aaron Levine; Connie Huang; Chenguang Wang; Eduardo Batista; Ewa Szymanska; Hongyi Ding; Hou Wei Chou; Jean-François Pessiot; Johanes Effendi; Justin Chiu; Kai Torben Ohlhus; Karan Chopra; et al. (CoRR, 2024)