[1]Xiangru Tang, Yujie Wang, Xianjun Shen. Categorizing Offensive Language in the Online World : A Chinese Corpus, Systems and an Explainable Tool. The 12th International Conference on Language Resources and Evaluation. 2020 PDF

[2]Xiangru Tang, Xinhui Tu. SYMGraph: A Neural Symbolic Approach with Numerically-Aware Graph forDiscrete Reasoning. The AAAI 2020 Workshop on Reasoning for Complex Question Answering. 2020. pdf

[3]Xiangru Tang, Yanyan Lan, Liang Pang, Changying Hao and Xueqi Cheng. A Benchmark of the Interpretability of Deep Learning Models. The 25th China Conference on Information Retrieval, 2019.

[4]Xiangru Tang, Po Hu. Knowledge-Aware Self-Attention Networks for Document Grounded Dialogue Generation. In International Conference on Knowledge Science, Engineering and Management, 2019. (oral) PDF

[5]Xiangru Tang, Zhihao Wang, Jiyang Qi, Zengyang Li. Improving Code Generation From Descriptive Text By Combining Deep Learning and Syntax Rules. The 31st international conference on Software engineering and knowledge engineering, 2019. (oral) pdf

[6]Xiangru Tang, Hanning Gao and Junjie Gao. Knowledge-based Factoid Question Generation with Seq2Seq Learning. The 2018 IEEE International Conference on Progress in Informatics and Computing, 2018. (oral and Best Paper Award)

In progress

[1]Xiangru Tang, Alan Aw*. FILM : Applying Fast, Interpretable and Low-rank Metric Learning Approaches to Question Paraphrase PDF

[2]Xiangru Tang, Rodolfo Corona. Multi-Granularity Modularized Network for Spatial Cognition and Visual Reasoning PDF

[3]Alexander Whatley, Xiangru Tang, Zhekun Luo. Improving RNA Secondary Structure Design using Deep Reinforcement Learning

[4]Alexander Whatley, Xiangru Tang, Terry Regier. Rethinking Efficient Communication with Bidirectional Encoder Representations from Transformers

Rejected Work

[1]Liang Pang, Yanyan Lan, Xiangru Tang, Jiafeng Guo and Xueqi Cheng. An Empirical Study of Interpretability via Predictive-Descriptive Curve. PDF