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ORCIDQun Liu
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2020 – today
- 2021
[j84]Qun Liu, Daqing Jiang:
Influence of the fear factor on the dynamics of a stochastic predator-prey model. Appl. Math. Lett. 112: 106756 (2021)- [j83]Qun Liu, Qingmei Chen:
A note on the stationary distribution of a three-species food web stochastic model with generalist predator. Appl. Math. Lett. 114: 106929 (2021) - 2020
- [j82]Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi, Bashir Ahmad:
Stationary distribution of a stochastic cholera model between communities linked by migration. Appl. Math. Comput. 373: 125021 (2020) - [j81]Qun Liu, Shuxin Liu, Guoyin Wang, Shuyin Xia
:
Social relationship prediction across networks using tri-training BP neural networks. Neurocomputing 401: 377-391 (2020) - [j80]Zhishan Dong, Shuangshuang Wang, Qun Liu:
Spectral based hypothesis testing for community detection in complex networks. Inf. Sci. 512: 1360-1371 (2020) - [j79]Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi:
Stationary Distribution and Extinction of a Stochastic HIV-1 Infection Model with Distributed Delay and Logistic Growth. J. Nonlinear Sci. 30(1): 369-395 (2020) - [j78]Qun Liu, Xiaoyu Cui, Cédric Jamet, Xiaolei Zhu, Zhihua Mao, Peng Chen, Jian Bai, Dong Liu:
A Semianalytic Monte Carlo Simulator for Spaceborne Oceanic Lidar: Framework and Preliminary Results. Remote. Sens. 12(17): 2820 (2020) - [j77]Ruoran Liu, Qiaolv Ling, Qiangbo Zhang, Yudi Zhou, Chengfeng Le, Yatong Chen, Qun Liu, Weibiao Chen, Junwu Tang, Dong Liu:
Detection of Chlorophyll a and CDOM Absorption Coefficient with a Dual-Wavelength Oceanic Lidar: Wavelength Optimization Method. Remote. Sens. 12(18): 3021 (2020) - [j76]Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun:
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2364-2373 (2020) - [c254]Lei Zheng, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Multi-Channel Reverse Dictionary Model. AAAI 2020: 312-319 - [c253]Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
Dialog State Tracking with Reinforced Data Augmentation. AAAI 2020: 9474-9481 - [c252]Yi Liao, Xin Jiang, Qun Liu:
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order. ACL 2020: 263-274 - [c251]Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu:
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT. ACL 2020: 4166-4176 - [c250]Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun:
Word-level Textual Adversarial Attacking as Combinatorial Optimization. ACL 2020: 6066-6080 - [c249]Supratik Mukhopadhyay, Subhajit Sidhanta, Arnab Ganguly, Qun Liu, Edward Collier, Yimin Zhu, Ravindra Gudishala, Chanachok Chokwitthaya, Robert DiBiano, Alimire Nabijiang, Sanaz Saeidi:
Context-Aware Design of Cyber-Physical Human Systems (CPHS). COMSNETS 2020: 322-329 - [c248]Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. EMNLP (1) 2020: 509-521 - [c247]Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu:
Accurate Word Alignment Induction from Neural Machine Translation. EMNLP (1) 2020: 566-576 - [c246]Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu:
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. EMNLP (1) 2020: 1016-1021 - [c245]Yudong Zhu, Di Zhou, Jinghui Xiao, Xin Jiang, Xiao Chen, Qun Liu:
HyperText: Endowing FastText with Hyperbolic Geometry. EMNLP (Findings) 2020: 1166-1171 - [c244]Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu:
Integrating Graph Contextualized Knowledge into Pre-trained Language Models. EMNLP (Findings) 2020: 2281-2290 - [c243]Jie He, Tao Wang, Deyi Xiong, Qun Liu:
The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation. EMNLP (Findings) 2020: 3662-3672 - [c242]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
TinyBERT: Distilling BERT for Natural Language Understanding. EMNLP (Findings) 2020: 4163-4174 - [c241]Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh:
From Unsupervised Machine Translation to Adversarial Text Generation. ICASSP 2020: 8194-8198 - [c240]Wen Zhang, Yang Feng, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation (Extended Abstract). IJCAI 2020: 4790-4794 - [c239]Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu:
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation. AACL/IJCNLP 2020: 191-200 - [c238]Qun Liu, Supratik Mukhopadhyay, Maria-Ximena Bastidas-Rodríguez, Xing Fu, Sushant Sahu, David Burk, Manas Gartia:
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium. ISBI 2020: 839-843 - [c237]Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. NeurIPS 2020 - [c236]Lu Peng, Qun Liu, Lebin Lv, Weibin Deng, Chongyu Wang:
An Abstractive Summarization Method Based on Global Gated Dual Encoder. NLPCC (2) 2020: 355-365 - [c235]Yuyang Zhang, Jintao Yu, Kai Wang, Yichun Yin, Cheng Chen, Qun Liu:
The Solution of Huawei Cloud & Noah's Ark Lab to the NLPCC-2020 Challenge: Light Pre-Training Chinese Language Model for NLP Task. NLPCC (2) 2020: 524-533 - [c234]Zhiyong Wu, Ben Kao, Tien-Hsuan Wu, Pengcheng Yin, Qun Liu:
PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems. WSDM 2020: 663-671 - [e1]Qun Liu, David Schlangen:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2020 - Demos, Online, November 16-20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-62-0 [contents] - [i76]Supratik Mukhopadhyay, Qun Liu, Edward Collier, Yimin Zhu, Ravindra Gudishala, Chanachok Chokwitthaya, Robert DiBiano, Alimire Nabijiang, Sanaz Saeidi, Subhajit Sidhanta, Arnab Ganguly:
Context-Aware Design of Cyber-Physical Human Systems (CPHS). CoRR abs/2001.01918 (2020) - [i75]Qun Liu, Supratik Mukhopadhyay, Maria-Ximena Bastidas-Rodríguez, Xing Fu, Sushant Sahu, David Burk, Manas Gartia:
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium. CoRR abs/2001.08395 (2020) - [i74]Wei Peng, Chongxuan Huang, Tianhao Li, Yun Chen, Qun Liu:
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation. CoRR abs/2004.02577 (2020) - [i73]Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. CoRR abs/2004.04037 (2020) - [i72]Yi Liao, Xin Jiang, Qun Liu:
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order. CoRR abs/2004.11579 (2020) - [i71]Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu:
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT. CoRR abs/2004.14786 (2020) - [i70]Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu:
Accurate Word Alignment Induction from Neural Machine Translation. CoRR abs/2004.14837 (2020) - [i69]Meng Zhang, Xin Jiang, Yang Liu, Qun Liu:
Learning to Detect Unacceptable Machine Translations for Downstream Tasks. CoRR abs/2005.03925 (2020) - [i68]Shuai Zhang, Peng Zhang, Xindian Ma, Junqiu Wei, Ningning Wang, Qun Liu:
TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling. CoRR abs/2008.01547 (2020) - [i67]Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. CoRR abs/2009.12812 (2020) - [i66]Yang Bai, Xiaoguang Li, Gang Wang, Chaoliang Zhang, Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, Qun Liu:
SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval. CoRR abs/2010.00768 (2020) - [i65]Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu:
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. CoRR abs/2010.03034 (2020) - [i64]Qun Liu, Matthew Shreve, Raja Bala:
LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching. CoRR abs/2010.06668 (2020) - [i63]Yudong Zhu, Di Zhou, Jinghui Xiao, Xin Jiang, Xiao Chen, Qun Liu:
HyperText: Endowing FastText with Hyperbolic Geometry. CoRR abs/2010.16143 (2020) - [i62]Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Qun Liu, Maosong Sun:
Know What You Don't Need: Single-Shot Meta-Pruning for Attention Heads. CoRR abs/2011.03770 (2020) - [i61]Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh:
From Unsupervised Machine Translation To Adversarial Text Generation. CoRR abs/2011.05449 (2020) - [i60]Mingzhou Xu, Liangyou Li, Derek F. Wong, Qun Liu, Lidia S. Chao:
Document Graph for Neural Machine Translation. CoRR abs/2012.03477 (2020) - [i59]Bin He, Xin Jiang, Jinghui Xiao, Qun Liu:
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning. CoRR abs/2012.03551 (2020) - [i58]Bin He, Di Zhou, Jing Xie, Jinghui Xiao, Xin Jiang, Qun Liu:
PPKE: Knowledge Representation Learning by Path-based Pre-training. CoRR abs/2012.03573 (2020) - [i57]Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
Improving Task-Agnostic BERT Distillation with Layer Mapping Search. CoRR abs/2012.06153 (2020) - [i56]Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu:
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. CoRR abs/2012.14022 (2020) - [i55]Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. CoRR abs/2012.15534 (2020) - [i54]Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning. CoRR abs/2012.15699 (2020) - [i53]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. CoRR abs/2012.15701 (2020) - [i52]Peyman Passban, Puneeth S. M. Saladi, Qun Liu:
Revisiting Robust Neural Machine Translation: A Transformer Case Study. CoRR abs/2012.15710 (2020)
2010 – 2019
- 2019
- [j75]Qun Liu:
The Resistance Distance and Kirchhoff Index on Quadrilateral Graph and Pentagonal Graph. IEEE Access 7: 36617-36622 (2019) - [j74]Qun Liu:
Resistance Distance and Kirchhoff Index of Generalized Subdivision-Vertex and Subdivision-Edge Corona for Graphs. IEEE Access 7: 92240-92247 (2019) - [j73]Shuyin Xia, Yulong Xia, Hong Yu, Qun Liu, Yueguo Luo, Guoyin Wang, Zizhong Chen:
Transferring Ensemble Representations Using Deep Convolutional Neural Networks for Small-Scale Image Classification. IEEE Access 7: 168175-168186 (2019) - [j72]Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi:
Dynamics of a stochastic multigroup SIQR epidemic model with standard incidence rates. J. Frankl. Inst. 356(5): 2960-2993 (2019) - [j71]Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi:
Dynamics of a stochastic SIR epidemic model with distributed delay and degenerate diffusion. J. Frankl. Inst. 356(13): 7347-7370 (2019) - [j70]Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi:
Threshold behavior in a stochastic delayed SIS epidemic model with vaccination and double diseases. J. Frankl. Inst. 356(13): 7466-7485 (2019) - [j69]Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi:
Dynamical behavior of a stochastic epidemic model for cholera. J. Frankl. Inst. 356(13): 7486-7514 (2019) - [j68]Wanjuan Zhang, Lihua Fu, Qun Liu:
Nonconvex Log-Sum Function-Based Majorization-Minimization Framework for Seismic Data Reconstruction. IEEE Geosci. Remote. Sens. Lett. 16(11): 1776-1780 (2019) - [j67]Iacer Calixto, Qun Liu:
An error analysis for image-based multi-modal neural machine translation. Mach. Transl. 33(1-2): 155-177 (2019) - [j66]Yudi Zhou, Weibiao Chen, Xiaoyu Cui, Aleksey Malinka, Qun Liu, Bing Han, Xueji Wang, Wenqi Zhuo, Haochi Che, Qingjun Song, Xiaolei Zhu, Dong Liu:
Validation of the Analytical Model of Oceanic Lidar Returns: Comparisons with Monte Carlo Simulations and Experimental Results. Remote. Sens. 11(16): 1870 (2019) - [j65]Hui Yu, Weizhi Xu, Shouxun Lin, Qun Liu:
Machine Translation Evaluation Metric Based on Dependency Parsing Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(4): 44:1-44:15 (2019) - [j64]Dong Liu, Peng Chen, Haochi Che, Zhipeng Liu, Qun Liu, Qingjun Song, Sijie Chen, Peituo Xu, Yudi Zhou, Weibiao Chen, Bing Han, Xiaolei Zhu, Yan He, Zhihua Mao, Chengfeng Le:
Lidar Remote Sensing of Seawater Optical Properties: Experiment and Monte Carlo Simulation. IEEE Trans. Geosci. Remote. Sens. 57(11): 9489-9498 (2019) - [j63]Shuyin Xia, Guoyin Wang, Zizhong Chen, Yanlin Duan, Qun Liu:
Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers. IEEE Trans. Knowl. Data Eng. 31(11): 2063-2078 (2019) - [c233]Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu:
ERNIE: Enhanced Language Representation with Informative Entities. ACL (1) 2019: 1441-1451 - [c232]Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu:
Decomposable Neural Paraphrase Generation. ACL (1) 2019: 3403-3414 - [c231]Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation. ACL (1) 2019: 4334-4343 - [c230]Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, Maosong Sun:
Modeling Semantic Compositionality with Sememe Knowledge. ACL (1) 2019: 5706-5715 - [c229]Alimire Nabijiang, Supratik Mukhopadhyay, Sanaz Saeidi, Yimin Zhu, Ravindra Gudishala, Qun Liu:
Why do you take that route? CogSci 2019: 2554-2460 - [c228]Qun Liu, Edward Collier, Supratik Mukhopadhyay:
PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters. ICADL 2019: 3-15 - [c227]Qun Liu, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Alimire Nabijiang:
Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation. IJCNN 2019: 1-8 - [c226]Shuhao Gu, Yang Feng, Qun Liu:
Improving Domain Adaptation Translation with Domain Invariant and Specific Information. NAACL-HLT (1) 2019: 3081-3091 - [c225]Wei Peng, Jianfeng Liu, Liangyou Li, Qun Liu:
Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task. WMT (3) 2019: 164-168 - [i51]Qun Liu, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Alimire Nabijiang:
Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation. CoRR abs/1903.11253 (2019) - [i50]Shuhao Gu, Yang Feng, Qun Liu:
Improving Domain Adaptation Translation with Domain Invariant and Specific Information. CoRR abs/1904.03879 (2019) - [i49]Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh:
Bilingual-GAN: A Step Towards Parallel Text Generation. CoRR abs/1904.04742 (2019) - [i48]Alimire Nabijiang, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Qun Liu:
Why do you take that route? CoRR abs/1905.06463 (2019) - [i47]Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu:
ERNIE: Enhanced Language Representation with Informative Entities. CoRR abs/1905.07129 (2019) - [i46]Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation. CoRR abs/1906.02448 (2019) - [i45]Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu:
Decomposable Neural Paraphrase Generation. CoRR abs/1906.09741 (2019) - [i44]Yi Liao, Yasheng Wang, Qun Liu, Xin Jiang:
GPT-based Generation for Classical Chinese Poetry. CoRR abs/1907.00151 (2019) - [i43]Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, Maosong Sun:
Modeling Semantic Compositionality with Sememe Knowledge. CoRR abs/1907.04744 (2019) - [i42]Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
Dialog State Tracking with Reinforced Data Augmentation. CoRR abs/1908.07795 (2019) - [i41]Qun Liu, Edward Collier, Supratik Mukhopadhyay:
PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters. CoRR abs/1908.08987 (2019) - [i40]Junqiu Wei, Xiaozhe Ren, Xiaoguang Li, Wenyong Huang, Yi Liao, Yasheng Wang, Jiashu Lin, Xin Jiang, Xiao Chen, Qun Liu:
NEZHA: Neural Contextualized Representation for Chinese Language Understanding. CoRR abs/1909.00204 (2019) - [i39]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
TinyBERT: Distilling BERT for Natural Language Understanding. CoRR abs/1909.10351 (2019) - [i38]Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun:
Enhancing Recurrent Neural Networks with Sememes. CoRR abs/1910.08910 (2019) - [i37]Yuan Zang, Chenghao Yang, Fanchao Qi, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun:
Open the Boxes of Words: Incorporating Sememes into Textual Adversarial Attack. CoRR abs/1910.12196 (2019) - [i36]Liangyou Li, Xin Jiang, Qun Liu:
Pretrained Language Models for Document-Level Neural Machine Translation. CoRR abs/1911.03110 (2019) - [i35]Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu:
How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation? CoRR abs/1911.03154 (2019) - [i34]Yinpeng Guo, Yi Liao, Xin Jiang, Qing Zhang, Yibo Zhang, Qun Liu:
Zero-Shot Paraphrase Generation with Multilingual Language Models. CoRR abs/1911.03597 (2019) - [i33]Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani:
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification. CoRR abs/1911.07747 (2019) - [i32]Qun Liu, Lihua Fu, Meng Zhang:
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks. CoRR abs/1911.08784 (2019) - [i31]Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu:
Integrating Graph Contextualized Knowledge into Pre-trained Language Models. CoRR abs/1912.00147 (2019) - [i30]Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun:
Learning to Predict Explainable Plots for Neural Story Generation. CoRR abs/1912.02395 (2019) - [i29]Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas:
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. CoRR abs/1912.03587 (2019) - [i28]Lei Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Multi-channel Reverse Dictionary Model. CoRR abs/1912.08441 (2019) - 2018
- [j62]Qun Liu, Jia-Bao Liu, Shaohui Wang:
Resistance Distance and Kirchhoff Index of the Corona-Vertex and the Corona-Edge of Subdivision Graph. IEEE Access 6: 55673-55679 (2018) - [j61]Qun Liu, Daqing Jiang, Ningzhong Shi:
Threshold behavior in a stochastic SIQR epidemic model with standard incidence and regime switching. Appl. Math. Comput. 316: 310-325 (2018) - [j60]Qun Liu, Daqing Jiang, Tasawar Hayat, Bashir Ahmad:
Stationary distribution and extinction of a stochastic predator-prey model with additional food and nonlinear perturbation. Appl. Math. Comput. 320: 226-239 (2018) - [j59]Yiliu Jiang, Lianghao Ji, Xingcheng Pu, Qun Liu:
Group Consensus for Discrete-Time Heterogeneous Multiagent Systems with Input and Communication Delays. Complex. 2018: 8319537:1-8319537:12 (2018) - [j58]Yiliu Jiang, Lianghao Ji, Qun Liu, Shasha Yang, Xiaofeng Liao:
Couple-group consensus for discrete-time heterogeneous multiagent systems with cooperative-competitive interactions and time delays. Neurocomputing 319: 92-101 (2018) - [j57]Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi:
Dynamical behavior of stochastic multigroup S-DI-A epidemic models for the transmission of HIV. J. Frankl. Inst. 355(13): 5830-5865 (2018) - [j56]Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi:
Stationary distribution and extinction of a stochastic predator-prey model with herd behavior. J. Frankl. Inst. 355(16): 8177-8193 (2018) - [j55]Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi:
Stationary distribution and extinction of a stochastic dengue epidemic model. J. Frankl. Inst. 355(17): 8891-8914 (2018) - [j54]Qun Liu, Daqing Jiang:
Periodic Solution and Stationary Distribution of Stochastic Predator-Prey Models with Higher-Order Perturbation. J. Nonlinear Sci. 28(2): 423-442 (2018) - [j53]Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi:
Dynamics of a Stochastic Predator-Prey Model with Stage Structure for Predator and Holling Type II Functional Response. J. Nonlinear Sci. 28(3): 1151-1187 (2018) - [j52]Gangqiang Zhang, Qun Liu, Lianghao Ji:
基于序贯三支决策的多粒度情感分类方法 (Multi-granularity Sentiment Classification Method Based on Sequential Three-way Decisions). 计算机科学 45(12): 153-159 (2018) - [j51]Qun Liu, Daqing Jiang, Ningzhong Shi, Tasawar Hayat, Ahmed Alsaedi:
The threshold of a stochastic SIS epidemic model with imperfect vaccination. Math. Comput. Simul. 144: 78-90 (2018) - [c224]Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu:
Translating Pro-Drop Languages With Reconstruction Models. AAAI 2018: 4937-4945 - [c223]Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin:
Knowledge Diffusion for Neural Dialogue Generation. ACL (1) 2018: 1489-1498 - [c222]Koel Dutta Chowdhury, Mohammed Hasanuzzaman, Qun Liu:
Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data. DeepLo@ACL 2018: 33-42 - [c221]Xiao Liang, Shuyin Xia, Qun Liu, Yunsheng Liu, Baiyun Chen, Guoyin Wang:
A Multi-Granular Relative Density Model for Class Noise Detection. BigData 2018: 2651-2656 - [c220]Wen Zhang, Jiawei Hu, Yang Feng, Qun Liu:
Refining Source Representations with Relation Networks for Neural Machine Translation. COLING 2018: 1292-1303 - [c219]Peyman Passban, Andy Way, Qun Liu:
Tailoring Neural Architectures for Translating from Morphologically Rich Languages. COLING 2018: 3134-3145 - [c218]Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu:
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism. EMNLP 2018: 2997-3002 - [c217]Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu:
Speeding Up Neural Machine Translation Decoding by Cube Pruning. EMNLP 2018: 4284-4294 - [c216]Hang Shu, Qun Liu, Shuyin Xia:
Multi-granularity Network Representation Learning Based on Game Theory. ICDM Workshops 2018: 454-461 - [c215]Manohar Karki, Qun Liu, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay:
Pixel-Level Reconstruction and Classification for Noisy Handwritten Bangla Characters. ICFHR 2018: 511-516 - [c214]Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin:
Learning Tag Dependencies for Sequence Tagging. IJCAI 2018: 4581-4587 - [c213]