Publications

Please refer to Google Scholar profile for the latest publication information.

2024

WWW Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta
Wei Zhang, Dai Li, Chen Liang, Fang Zhou, Zhongke Zhang, Xuewei Wang, Ru Li, Yi Zhou, Yaning Huang, Dong Liang, Kai Wang, Zhangyuan Wang, Zhengxing Chen, Fenggang Wu, Minghai Chen, Huayu Li, Yunnan Wu, Zhan Shu, Mindi Yuan, Sri Reddy
Proceedings of the ACM on Web Conference 2024
LargeRecSys@RecSys ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System
Fang Zhou, Yaning Huang, Dong Liang, Dai Li, Zhongke Zhang, Kai Wang, Xiao Xin, Abdallah Aboelela, Zheliang Jiang, Yang Wang, Jeff Song, Wei Zhang, Chen Liang, Huayu Li, Chonglin Sun, Hang Yang, Lei Qu, Zhan Shu, Mindi Yuan, Emanuele Maccherani, Taha Hayat, John Guo, Varna Puvvada, Uladzimir Pashkevich
Workshop for Large Scale Recommender Systems at the 2024 ACM Conference on Recommender Systems

2019

EDM Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations
Chen Liang, Jianbo Ye, Han Zhao, Bart Pursel, and C. Lee Giles
Proceedings of the 12th International Conference on Educational Data Mining, 2019
πŸ“Š Data πŸ“„ Supplemental πŸ“ Preprint

2018

BEA Distractor Generation for Multiple Choice Questions Using Learning to Rank
Chen Liang, Xiao Yang, Neisarg Dave, Drew Wham, Bart Pursel, and C. Lee Giles
Proceedings of the NAACL-HLT Workshop on Innovative Use of NLP for Building Educational Application, 2018
πŸ’» Code πŸ“Š Data πŸ–ΌοΈ Poster
AAAI Investigating Active Learning for Concept Prerequisite Learning
Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, and C. Lee Giles
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
πŸ“Š Data πŸ“Š Slides

2017

AAAI Recovering Concept Prerequisite Relations from University Course Dependencies
Chen Liang, Jianbo Ye, Zhaohui Wu, Bart Pursel, and C. Lee Giles
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
πŸ“Š Data
K-CAP Distractor Generation with Generative Adversarial Nets for Automatically Creating Fill-in-the-blank Questions
Chen Liang, Xiao Yang, Drew Wham, Bart Pursel, Rebecca Passonneau and C. Lee Giles
Proceedings of the Ninth International Conference on Knowledge Capture, 2017
πŸ–ΌοΈ Poster
CVPR Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting In The Wild
Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G Ororbia, Daniel Kifer, and C. Lee Giles
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
JCDL HESDK: A Hybrid Approach to Extracting Scientific Domain Knowledge Entities
Jian Wu, Sagnik Ray Choudhury, Agnese Chiatti, Chen Liang, and C. Lee Giles
ACM/IEEE Joint Conference on Digital Libraries, 2017

2016

AAAI BBookX: Building Online Open Books for Personalized Learning (Demo paper)
Chen Liang, Shuting Wang, Zhaohui Wu, Kyle Williams, Bart Pursel, Benjamin Brautigam, Sherwyn Saul, Hannah Williams, Kyle Bowen, and C. Lee Giles
Proceedings of the 30th AAAI Conference on Artificial Intelligence, 2016
WebED@WWW BBookX: Design of an Automated Web-based Recommender System for the Creation of Open Learning Content
Bart Pursel, Chen Liang, Shuting Wang, Zhaohui Wu, Kyle Williams, Benjamin Brautigam, Sherwyn Saul, Hannah Williams, Kyle Bowen, and C. Lee Giles
Proceedings of 25th International Conference Companion on World Wide Web, 2016
SBD@SIGMOD CiteSeerX data: semanticizing scholarly papers
Jian Wu, Chen Liang, Huaiyu Yang, and C. Lee Giles
Proceedings of the International Workshop on Semantic Big Data, 2016
CIKM Using Prerequisites to Extract Concept Maps from Textbooks
Shuting Wang, Alexander G. Ororbia II, Zhaohui Wu, Kyle Williams, Chen Liang, Bart Pursel, and C. Lee Giles
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016

2015

EMNLP Measuring Prerequisite Relations Among Concepts (Short paper)
Chen Liang, Zhaohui Wu, Wenyi Huang, and C. Lee Giles
Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2015
πŸ“Š Data πŸ–ΌοΈ Poster
DocEng BBookX: An Automatic Book Creation Framework (Oral presentation)
Chen Liang, Shuting Wang, Zhaohui Wu, Kyle Williams, Bart Pursel, Benjamin Brautigam, Sherwyn Saul, Hannah Williams, Kyle Bowen, and C. Lee Giles
Proceedings of the ACM Symposium on Document Engineering, 2015
DocEng Concept Hierarchy Extraction from Textbooks (Oral presentation)
Shuting Wang, Chen Liang, Zhaohui Wu, Kyle Williams, Bart Pursel, Benjamin Brautigam, Sherwyn Saul, Hannah Williams, Kyle Bowen, and C. Lee Giles
Proceedings of the ACM Symposium on Document Engineering, 2015
πŸ“Š Data
ACL Storybase: Towards Building a Knowledge Base for News Events (Demo paper)
Zhaohui Wu, Chen Liang, and C. Lee Giles
Proceedings of 53rd Annual Meeting of the Association for Computational Linguistics, 2015
🌐 Demo
AAAI A Neural Probabilistic Model for Context Based Citation Recommendation
Wenyi Huang, Zhaohui Wu, Chen Liang, Prasenjit Mitra, and C. Lee Giles
Proceedings of the 29th AAAI Conference on Artificial Intelligence, 2015

2014

JCDL Crowd-sourcing Web Knowledge for Metadata Extraction (Short paper)
Zhaohui Wu, Wenyi Huang, Chen Liang, and C. Lee Giles
ACM/IEEE Joint Conference on Digital Libraries, 2014

2012

COLING Expert Finding for Microblog Misinformation Identification (Short paper)
Chen Liang*, Zhiyuan Liu*, and Maosong Sun (* equal contribution)
Proceedings of the 24th International Conference on Computational Linguistics, 2012
COLING Topical Word Trigger Model for Keyphrase Extraction
Zhiyuan Liu, Chen Liang, and Maosong Sun
Proceedings of the 24th International Conference on Computational Linguistics, 2012