activity
20192021
most citedGenerative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials

294 citations · 305 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2021

MultiHead MultiModal Deep Interest Recommendation Network

Mingbao Yang, ShaoBo Li, Zhou Peng +2

With the development of information technology, human beings are constantly producing a large amount of information at all times. How to obtain the information that users are inter…

cs.CL2021

Analysing the Effect of Masking Length Distribution of MLM: An Evaluation Framework and Case Study on Chinese MRC Datasets

Changchang. Zeng, Shaobo. Li

Machine reading comprehension (MRC) is a challenging natural language processing (NLP) task. Recently, the emergence of pre-trained models (PTM) has brought this research field int…

cs.HC2021★ 1 cited

Big Data driven Product Design: A Survey

Huafeng Quan, Shaobo Li, Changchang Zeng +2

With the improvement of living standards, user requirements of modern products are becoming increasingly more diversified and personalized. Traditional product design methods can n…

cond-mat.mtrl-sci2020★ 1 cited

Contact Map based Crystal Structure Prediction using Global Optimization

Jianjun Hu, Wenhui Yang, Rongzhi Dong +3

Crystal structure prediction is now playing an increasingly important role in discovery of new materials. Global optimization methods such as genetic algorithms (GA) and particle s…

cs.CL2020★ 9 cited

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets

Changchang Zeng, Shaobo Li, Qin Li +2

Machine Reading Comprehension (MRC) is a challenging Natural Language Processing(NLP) research field with wide real-world applications. The great progress of this field in recent y…

cs.LG2019★ 294 cited

Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials

Yabo Dan, Yong Zhao, Xiang Li +3

A major challenge in materials design is how to efficiently search the vast chemical design space to find the materials with desired properties. One effective strategy is to develo…