Reverse-engineering information presentations: recovering hierarchical grouping from layouts of visual elements, Journal of Visual Intelligence.
Relation-enhanced DETR for Component Detection in Graphic Design Reverse Engineering, IJCAI 2023.
Learn and Sample Together: Collaborative Generation for Graphic Design Layout, IJCAI 2023.
Layout Generation as Intermediate Action Sequence Prediction, AAAI 2023.
Exploring Heterogeneous Feature Representation for Document Layout Understanding, ICTAI 2022.
The layout generation algorithm of graphic design based on transformer-cvae, CONF-SPML 2021.
Canvasemb: Learning layout representation with large-scale pre-training for graphic design, ACM MM 2021.
Visual style extraction from chart images for chart restyling, ICPR 2021.
A survey for graphic design intelligence, arxiv preprint.
Towards topic-aware slide generation for academic papers with unsupervised mutual learning, AAAI 2021.
Towards generating math word problems from equations and topics, INLG 2019.
Neural math word problem solver with reinforcement learning, COLING 2018.
Using Intermediate Representations to Solve Math Word Problems, ACL 2018.
Learning Fine-Grained Expressions to Solve Math Word Problems, EMNLP 2017.
How well do computers solve math word problems? large-scale dataset construction and evaluation, ACL 2016.
The MSR.KM System for Entity Linking at TAC 2013, TAC 2013.
Research Experience
Currently a Senior Researcher at Microsoft.
Education
Received B.S. degree from Sun Yat-sen University, China in 2014. Then obtained Ph.D. in a joint program of Sun-Yat-sen University and Microsoft Research Asia, advised by Prof. Jian Yin and Dr. Chin-Yew Lin.
Background
Research interests include natural language processing (e.g., question answering, semantic parsing) and artificial intelligence applications for graphic design.
Miscellany
Actively a reviewer of many conferences (e.g., ACL, EMNLP, AAAI, IJCAI, etc.) and journals (e.g., NLE).