Qile Zhu

According to our database, Qile Zhu authored at least 14 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Learning Fast and Slow: Propedeutica for Real-Time Malware Detection.

Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li

IEEE Trans. Neural Networks Learn. Syst., 2022

2020

Asking Complex Questions with Multi-hop Answer-focused Reasoning.

Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li, Dapeng Wu

CoRR, 2020

Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition.

Zhigang Dai, Jinhua Fu, Qile Zhu, Hengbin Cui, Xiaolong Li, Yuan Qi

CoRR, 2020

Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding.

Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

A Batch Normalized Inference Network Keeps the KL Vanishing Away.

Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li, Dapeng Wu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring.

Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adversarial Examples: Attacks and Defenses for Deep Learning.

Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li

IEEE Trans. Neural Networks Learn. Syst., 2019

Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring.

Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li, Dapeng Oliver Wu

CoRR, 2019

Statistical learning for semantic parsing: A survey.

Qile Zhu, Xiyao Ma, Xiaolin Li

Big Data Min. Anal., 2019

2018

GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text.

Qile Zhu, Xiaolin Li, Ana Conesa, Cécile Pereira

Bioinform., 2018

GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model.

Qile Zhu, Zheng Feng, Xiaolin Li

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Adversarial Examples: Attacks and Defenses for Deep Learning.

Xiaoyong Yuan, Pan He, Qile Zhu, Rajendra Rana Bhat, Xiaolin Li

CoRR, 2017

Single Shot Text Detector with Regional Attention.

Pan He, Weilin Huang, Tong He, Qile Zhu, Yu Qiao, Xiaolin Li

Proceedings of the IEEE International Conference on Computer Vision, 2017

Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection.

Qile Zhu, Yanjun Li, Xiaolin Li

Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, 2017