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Qile Zhu
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2020 – today
- 2022
- [j4]Ruimin Sun
, Xiaoyong Yuan
, Pan He
, Qile Zhu
, Aokun Chen, André Grégio
, Daniela Oliveira
, Xiaolin Li:
Learning Fast and Slow: Propedeutica for Real-Time Malware Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2518-2529 (2022) - 2020
- [c6]Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li:
Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring. AAAI 2020: 8464-8471 - [c5]Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li, Dapeng Wu
:
A Batch Normalized Inference Network Keeps the KL Vanishing Away. ACL 2020: 2636-2649 - [c4]Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza:
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding. CoNLL 2020: 496-506 - [i8]Zhigang Dai, Jinhua Fu, Qile Zhu, Hengbin Cui, Xiaolong Li, Yuan Qi:
Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition. CoRR abs/2003.06044 (2020) - [i7]Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li, Dapeng Oliver Wu:
A Batch Normalized Inference Network Keeps the KL Vanishing Away. CoRR abs/2004.12585 (2020) - [i6]Xiyao Ma, Qile Zhu, Yanlin Zhou
, Xiaolin Li, Dapeng Wu:
Asking Complex Questions with Multi-hop Answer-focused Reasoning. CoRR abs/2009.07402 (2020) - [i5]Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza:
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding. CoRR abs/2010.03714 (2020)
2010 – 2019
- 2019
- [j3]Qile Zhu, Xiyao Ma, Xiaolin Li:
Statistical learning for semantic parsing: A survey. Big Data Min. Anal. 2(4): 217-239 (2019) - [j2]Xiaoyong Yuan
, Pan He
, Qile Zhu
, Xiaolin Li
:
Adversarial Examples: Attacks and Defenses for Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2805-2824 (2019) - [i4]Xiyao Ma, Qile Zhu, Yanlin Zhou
, Xiaolin Li, Dapeng Oliver Wu:
Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring. CoRR abs/1912.00879 (2019) - 2018
- [j1]Qile Zhu, Xiaolin Li, Ana Conesa
, Cécile Pereira
:
GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text. Bioinform. 34(9): 1547-1554 (2018) - [c3]Qile Zhu, Zheng Feng, Xiaolin Li:
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model. EMNLP 2018: 4663-4672 - 2017
- [c2]Qile Zhu, Yanjun Li
, Xiaolin Li:
Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection. CoNLL Shared Task (1) 2017: 85-89 - [c1]Pan He
, Weilin Huang, Tong He, Qile Zhu, Yu Qiao
, Xiaolin Li:
Single Shot Text Detector with Regional Attention. ICCV 2017: 3066-3074 - [i3]Pan He, Weilin Huang, Tong He, Qile Zhu, Yu Qiao, Xiaolin Li:
Single Shot Text Detector with Regional Attention. CoRR abs/1709.00138 (2017) - [i2]Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li:
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection. CoRR abs/1712.01145 (2017) - [i1]Xiaoyong Yuan, Pan He, Qile Zhu, Rajendra Rana Bhat, Xiaolin Li:
Adversarial Examples: Attacks and Defenses for Deep Learning. CoRR abs/1712.07107 (2017)
Coauthor Index
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