My name is Nan Jiang. I’m a PhD student in the department of Computer Science, Purdue university. My advisor is Professor Yexiang Xue.
Publications
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Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma.
Nan Jiang, Yi Gu, Yexiang Xue.
AAAI 2023.
First two authors contributed equally. -
Constraint Reasoning Embedded in Structural Prediction.
Nan Jiang, Maosen Zhang, Willem-Jan van Hoeve, Yexiang Xue.
JMLR 2022. -
Massive Text Normalization via an Efficient Randomized Algorithm.
Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue.
TheWebConf 2022. -
PALM: Probabilistic Area Loss Minimization for Protein Sequence Alignment.
Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, and Yexiang Xue.
UAI 2021.
First two authors contributed equally. -
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach.
Maosen Zhang, Nan Jiang, Lei Li, and Yexiang Xue.
Finding in EMNLP 2020. -
A dual channel class hierarchy based recurrent language modeling.
Libin Shi, Wenge Rong, Shijie Zhou, Nan Jiang, Zhang Xiong.
Neurocomputing 2020. -
LSDSCC: A Large Scale Domain-Specific Conversational Corpusfor Response Generation with Diversity Oriented Evaluation Metrics.
Zhen Xu, Nan Jiang and et. al.
NAACL-HLT 2018. -
Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models.
Nan Jiang, Wenge Rong, and et. al.
IJCAI 2017. -
Event Trigger Identification with Noise Contrastive Estimation.
Nan Jiang, Wenge Rong, and et. al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017. -
An Empirical Analysis of Different Sparse Penalties for Autoencoder in Unsupervised Feature Learning.
Nan Jiang, Wenge Rong, and et. al.
IJCNN, 2015.