I am interested in studying natural language processing and machine learning. Currently, I work on analyzing and improving deep learning models for sequence generation.
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky. Association for Computational Linguistics (ACL), 2018. [code][bib]
ClusCite: Effective Citation Recommendation by Information Network-Based Clustering. Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan. Wang, Jiawei Han. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014.
Personalized Entity Recommendation: A Heterogeneous Information Network Approach. Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Brad Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han.
International Conference on Web Search and Data Mining (WSDM), 2014.
HeteRec: Entity Recommendation in Heterogeneous Information Networks with Implicit User Feedback. Xiao Yu, Xiang Ren, Yizhou Sun, Brad Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han.
ACM Conference on Recommender Systems (RecSys), 2013.