ParaNet - Using Dense Blocks for Early Inference. - Joseph Chuang; Eric Tsai; Kevin Huang 002; Jay Fetter (CoRR, 2018)

Relation Module for Non-Answerable Predictions on Reading Comprehension. - Kevin Huang 002; Yun Tang 002; Jing Huang 019; Xiaodong He 001; Bowen Zhou 001 (CoNLL, 2019)

Relation Module for Non-answerable Prediction on Question Answering. - Kevin Huang 002; Yun Tang 002; Jing Huang 019; Xiaodong He 001; Bowen Zhou 001 (CoRR, 2019)

Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification. - Xiaochen Hou; Jing Huang 019; Guangtao Wang; Kevin Huang 002; Xiaodong He 001; Bowen Zhou 001 (CoRR, 2019)

Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents. - Ming Tu; Kevin Huang 002; Guangtao Wang; Jing Huang 019; Xiaodong He 001; Bowen Zhou 001 (AAAI, 2020)

Improving Neural Language Generation with Spectrum Control. - Lingxiao Wang 001; Jing Huang 019; Kevin Huang 002; Ziniu Hu; Guangtao Wang; Quanquan Gu (ICLR, 2020)

Entity and Evidence Guided Relation Extraction for DocRED. - Kevin Huang 002; Guangtao Wang; Tengyu Ma 001; Jing Huang 019 (CoRR, 2020)

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. - Wenxuan Zhou; Kevin Huang 002; Tengyu Ma 001; Jing Huang 019 (AAAI, 2021)

Variance-reduced First-order Meta-learning for Natural Language Processing Tasks. - Lingxiao Wang 001; Kevin Huang 002; Tengyu Ma 001; Quanquan Gu; Jing Huang 019 (NAACL-HLT, 2021)

Entity and Evidence Guided Document-Level Relation Extraction. - Kevin Huang 002; Peng Qi 003; Guangtao Wang; Tengyu Ma 001; Jing Huang 019 (RepL4NLP@ACL-IJCNLP, 2021)