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Hongyi Ding
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2020 – today
- 2024
- [i5]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, Keiji Shinzato, Koji Murakami, Lee Xiong, Lei Chen, Maki Kubota, Maksim Tkachenko, Miroku Lee, Naoki Takahashi, Prathyusha Jwalapuram, Ryutaro Tatsushima, Saurabh Jain, Sunil Kumar Yadav, Ting Cai, Wei-Te Chen, Yandi Xia, Yuki Nakayama, Yutaka Higashiyama:
RakutenAI-7B: Extending Large Language Models for Japanese. CoRR abs/2403.15484 (2024)
2010 – 2019
- 2018
- [c5]Hongyi Ding, Mohammad Emtiyaz Khan, Issei Sato, Masashi Sugiyama:
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling. AISTATS 2018: 1108-1116 - [c4]Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama
, William M. Wells III:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) 2018: 30-38 - [c3]Hongyi Ding, Young Lee, Issei Sato, Masashi Sugiyama:
Variational Inference for Gaussian Processes with Panel Count Data. UAI 2018: 290-299 - [i4]Jie Luo, Sarah F. Frisken, Karteek Popuri, Dana Cobzas, Frank Preiswerk, Matthew Toews, Miaomiao Zhang, Hongyi Ding, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
On the Ambiguity of Registration Uncertainty. CoRR abs/1803.05266 (2018) - [i3]Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR abs/1803.07682 (2018) - 2017
- [i2]Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama:
Misdirected Registration Uncertainty. CoRR abs/1704.08121 (2017) - 2016
- [i1]Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, Masashi Sugiyama:
Reinterpreting the Transformation Posterior in Probabilistic Image Registration. CoRR abs/1604.01889 (2016) - 2015
- [c2]Hongyi Ding, Ji Wu:
Predicting Retweet Scale Using Log-Normal Distribution. BigMM 2015: 56-63 - 2014
- [c1]Miao Li, Hongyi Ding, Ji Wu:
Global discriminative model for dependency parsing in NLP pipeline. ISCSLP 2014: 614-618
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last updated on 2024-08-03 20:10 CEST by the dblp team
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