I work at Huawei Technologies as a research scientist now in Beijing.

I am now working on language identification, machine translation and LLM Agent research. If you are seeking any form of employment opportunity, please feel free to email me at dingjianbang1@huawei.com. We are also hiring interns!

I graduated from School of Intelligence Science and Technology, Peking University (北京大学智能学院) with a master's degree, supervised by Prof. Zhihong Deng (邓志鸿) and from Qian Xuesen Class, Xidian University (西安电子科技大学钱学森班) with a bachelor's degree. I also collaborate with Prof. Xu Sun (孙栩) closely.

I won the CCL 2023 Best Poster Award and the Huawei Top-10 Patents Nomination Award (华为终端BG十大发明提名). My work was selected by the Xi'an Municipal Government for exhibition at the 2017 Silk Road International Expo (2017丝绸之路国际博览会). I have published several papers at the premier international AI conferences such as IJCNN, NLPCC and CCL.

• Personal Pages: https://karrynest.github.io (updated recently🔥)
• Google Scholar: https://scholar.google.com/citations?user=aRXdah8AAAAJ
• DBLP: https://dblp.org/pid/251/8510.html

• 2024.08: AdaMod optimizer has garnered over 50+ citations and 120+ stars
• 2024.03: One paper is accepted by IJCNN 2024
• 2023.08: 🎉 Win the CCL 2023 best poster award
• 2023.07: One paper is accepted by NLPCC 2023
• 2023.06: One paper is accepted by CCL 2023

More details are shown at my personal homepage.

• arXiv Preprint An Adaptive and Momental Bound Method for Stochastic Learning, Jianbang Ding, Xuancheng Ren, Ruixuan Luo, Xu Sun [Paper] [Code] [Video]
• NLPCC 2023 An Adaptive Learning Method for Solving the Extreme Learning Rate Problem of Transformer, Jianbang Ding, Xuancheng Ren, Ruixuan Luo [Paper] [Code] [Video]
• CCL 2023 Adder Encoder for Pre-trained Language Model, Jianbang Ding, Suiyun Zhang [Paper] [Poster]
• IJCNN 2024 Disfluency Detection for Real-World Scenarios, Jianbang Ding, Suiyun Zhang, Dandan Tu [Paper] [Slide] [Video]