Qianli Ma
Ph.D., Professor
Email：qianlima at scut dot edu dot cn
URL：http://www2.scut.edu.cn/qianlima/english
Tel： (+86)20-39380297-3513 Office：B7-513
Mail：School of computer science and Engineering, South China University of Technology, Guangzhou, Guangdong, 510006, P.R. CHINA
Brief Biography
He is a Professor in the School of Computer Science and Engineering at South China University of Technology (SCUT), Guangzhou, China. Since receiving his Ph.D. from the South China University of Technology in 2008, he has worked as a faculty at SCUT. From March 2016 to March 2017 he was a visiting scholar at the University of California, San Diego. His current research interests include machine learning algorithms, data mining methodologies, neural networks theories, and their applications. He is also a Member of ACM, IEEE, CAAI, and a Senior Member of CCF. Currently, he serves as a member of the program committee in NeurIPS, IJCAI, AAAI, ACL and a reviewer of IEEE TPAMI, IEEE TNNLS, IEEE T-CYB, Machine Learning, Information Sciences, and so forth.
Research Interests：
Machine Learning Algorithms, Data Mining Methodologies, Neural Networks Theories, and their applications.
Professional Activities：
Reviewer IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE)
IEEE Transactions on Cybernetics (IEEE)
IEEE Transactions on Neural Networks and Learning Systems (IEEE)
Neural Networks (Elsevier)
Information Sciences (Elsevier)
Machine Learning (Springer)
PC Member NeurIPS, AAAI, IJCAI, ACL, EMNLP
Publications:
Preprint
Qianli Ma, Lifeng Shen, Garrison W. Cottrell. Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework, arXiv:1711.05255, 2017.
Refereed Conferences and Journals
Junhao Zheng, Haibin Chen, Qianli Ma. Cross-domain Named Entity Recognition via Graph Matching.Findings of The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022).
Junlong Liu, Xichen Shang, Qianli Ma. Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction. Proceedings of the 2022 Conference on Empirical Methods on Natural Language Processing(EMNLP 2022).
Junhao Zheng, Zhanxian Liang, Haibin Chen, Qianli Ma. Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition. Proceedings of the 2022 Conference on Empirical Methods on Natural Language Processing(EMNLP 2022).
Huawen Feng, Qianli Ma. It's Better to Teach Fishing than Giving a Fish: An Auto-Augmented Structure-aware Fenerative Model for Metaphor Detection. Proceedings of the 2022 Findings of Conference on Empirical Methods in Natural Language Processing(EMNLP 2022).
Sen Li, Fuyu Lv, Taiwei Jin, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T.Kwok, Qianli Ma. Query Rewriting in TaoBao Search. Proceedings of the 31st ACM International Conference on Information & Knowledge Management(CIKM 2022).
Qianli Ma, Zipeng Chen, Shuai Tian, Wing W.Y.Ng. Difference-guided representation learning network for multivariate time-series classfication[J]. IEEE Transactions on Cybernetics(TCYB), 2020, 52(6):4717-4727.
Qianli Ma, Sen Li, Garrison W.Cottrell. Adversarial joint-learning recurrent neural network for incomplete time series classificaion[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence(TPAMI), 2020, 44(4):1765-1776.
Jiawei Zheng, Qianli Ma, Hao Gu, and Zhenjing Zheng. Multi-view Denoising Graph Auto-Encoders on HeterogeneousInformation Networks for Cold-start Recommendation. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), accepted.
Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiaoming Wu, and Qianli Ma. Embedding based Product Retrieval in Taobao Search. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), accepted.
Haibin Chen, Qianli Ma, Zhenxi Lin and Jiangyue Yan. Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification. The 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021), accepted.
Xichen Shang, Qianli Ma, Zhenxi Lin, et al. A Span-based Dynamic Local Attention Model for Sequential Sentence Classification. The 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021), accepted.
Zipeng Chen , Qianli Ma and Zhenxi Lin. Time-Aware Multi-Scale RNNs for Time Series Modeling. The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), accepted.
Haibin Chen, Qianli Ma, et al. Corpus-Aware Graph Aggregation Network for Sequence Labeling [J]. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP). 2021. DOI: 10.1109/TASLP.2021.3084105.
Qianli Ma, Jiangyue Yan, et al. Deformable Self-Attention for Text Classification [J]. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP). 2021. DOI: 10.1109/TASLP.2021.3067210.
Qianli Ma, Chuxin Chen, Sen Li, Garrison Cottrell. Learning Representations for Incomplete Time Series Clustering. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021).
Qianli Ma, Zhenjing Zheng, Jiawei Zheng, et al. Joint-Label Learning by Dual Augmentation for Time Series Classification. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021).
Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok. Time Series Anomaly Detection with Multiresolution Ensemble Decoding. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021).
Qianli Ma, Zhenjing Zheng, Wanqing Zhuang, et al. Echo Memory-Augmented Network for Time Series Classification [J]. Neural Networks, 2021, 133 (1): 177-192.
Qianli Ma, Sen Li, Garrison W. Cottrell. Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2020. DOI: 10.1109/TPAMI.2020.3027975.
Qianli Ma, Zipeng Chen, Shuai Tian, et al. Difference-Guided Representation Learning Network for Multivariate Time-Series Classification [J]. IEEE Transactions on Cybernetics (TCYB). 2020. DOI: 10.1109/TCYB.2020.3034755.
Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen, Liuhong Yu. MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020).
Qianli Ma, Sen Li, Wanqing Zhuang, et al. Self-Supervised Time Series Clustering With Model-Based Dynamics [J]. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2020. DOI: 10.1109/TNNLS.2020.3016291.
Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell. Temporal Pyramid Recurrent Neural Network. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, 2020. Feb.7-12.
Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell. Adversarial Dynamic Shapelet Networks. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, 2020. Feb.7-12.
Qianli Ma, Jiawei Zheng*, Sen Li*, Garrison W. Cottrell. Learning Representations for Time Series Clustering. Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 2019: 3776-3786. * Equal contributions.
Qianli Ma, Wanqing Zhuang, Garrison W. Cottrell. Triple-shapelet Networks for Time Series Classification. IEEE International Conference on Data Mining (ICDM 2019), 2019,pp:1246-1251.
Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen. Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images. The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019).
Qianli Ma, Liuhong Yu, Shuai Tian, et al. Global-Local Mutual Attention Model for Text Classification [J]. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP). 2019. DOI: 10.1109/TASLP.2019.2942160.
Qianli Ma, Lifeng Shen, Garrison W. Cottrell. DeePr-ESN: A Deep Projection-Encoding Echo-State Network [J]. Information Sciences. 2019. DOI: 10.1016/j.ins.2019.09.049.
Luoqin Li, Jiabing Wang, Jichang Li, Qianli Ma, Jia Wei. Relation Classification via Keyword-Attentive Sentence Mechanism and Synthetic Stimulation Loss [J]. IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 27 (9): 1392-1404.
Qianli Ma, Shuai Tian, Jia Wei, et al. Attention-based Spatio-temporal Dependence Learning Network [J], Information Sciences, 2019, 503: 92-108.
Qianli Ma, Enhuan Chen, Zhenxi Lin, et al. Convolutional Multi-timescale Echo State Network [J]. IEEE Transactions on Cybernetics (TCYB), 2019. DOI: 10.1109/TCYB.2019.2919648.
Qianli Ma, Wanqing Zhuang, Lifeng Shen, Garrison W. Cottrell. Time Series Classification with Echo Memory Networks [J]. Neural Networks, 2019. DOI: 10.1016/j.neunet.2019.05.008.
Qianli Ma, Sen Li, Lifeng Shen, et al. End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables [J]. IEEE Transactions on Cybernetics (TCYB), 2019. DOI: 10.1109/TCYB.2019.2906426
Kejian Shi, Hongyang Qin, Chijun Sima, Sen Li, Lifeng Shen and Qianli Ma. Dynamic Barycenter Averaging Kernel in RBF Networks for Time Series Classification. IEEE Access, 2019, 7: 47564-47576. Corresponding Author.
Lifeng Shen, Qianli Ma, Sen Li. End-to-End Time Series Imputation via Residual Short Paths, The 10th Asian Conference on Machine Learning (ACML), Proceedings of Machine Learning Research (PMLR) , 2018, 95: 248-263. Corresponding Author.
Qianli Ma, Lifeng Shen, Enhuan Chen, et al. WALKING WALKing walking: Action Recognition from Action Echoes,Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017). 2017: 2457-2463.
Qianli Ma, Lifeng Shen, Garrison W. Cottrell. Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework, arXiv:1711.05255, 2017.
Qianli Ma, Lifeng Shen, Wanqing Zhuang, Jieyu Chen. Decouple Adversarial Capacities with Dual-Reservoir Network. In: Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science, vol 10638.
Qianli Ma, Lifeng Shen, Wanqing Zhuang, Jieyu Chen. Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognition. In: Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science, vol 10635.
Qianli Ma, Lifeng Shen, Weibiao Chen, et al. Functional echo state network for time series classification. Information Sciences, 2016, 373: 1-20.
Wei Jia, Meng Meng, Wang Jiabing, Ma Qianli, Wang Xuan. Adaptive Semi-Supervised Dimensionality Reduction with Sparse Representation Using Pairwise Constraints. Neurocomputing, 2016, 177 (2): 564–571.
Jinfeng Yang, Yong Xiao, Jiabing Wang, Qianli Ma, and Yanhua Shen. A Fast Clustering Algorithm for Data with a Few Labeled Instances. Computational Intelligence and Neuroscience, 2015, 196098:1-10,.
Meng Meng, Wei Jia, Wang Jiabing, Ma Qianli, Wang Xuan. Adaptive semi-supervised dimensionality reduction based on pairwise constraints weighting and graph optimizing. International Journal of Machine Learning and Cybernetics, 2015: 1-13.
Qianli Ma, Weibiao Chen, Jia Wei, Zhiwen Yu. Direct Model of Memory Properties and the Linear Reservoir Topologies in Echo State Networks. Applied Soft Computing, 2014, 22(9): 622-628.
Qianli Ma, Wei-Biao Chen. Modular state space of echo state network. Neurocomputing, 2013, 122: 406-417.
Research Projects：
Deep Reservoir Computing based on High-dimensional Random Projection. National Natural Science Foundation of China, Grant NO. 61872148, 2019.01-2022.12.
Reservoir Computing based on Multi-scale Modular Networks: Models and Algorithms. National Natural Science Foundation of China, Grant NO. 61502174, 2016.01-2018.12.
The Research of Key Technologies of Business Intelligence based on Deep Learning. Guangzhou Science and Technology Planning, Grant NO. 201704030051, 2017.05-2019.12.
Mining on the Big Data of Intelligent Power System in Distributed Computing Environment. China Southern Power Grid Company Limited, Grant NO. K-GD2013-0517-001, 2013.10-2014.12.
Computational Analysis of Reservoir Computing based on Short-Term Memory. Natural Science Foundation of Guangdong Province, China, Grant NO. S2012010009961, 2012.10-2014.9.
The Reservoir Computing Model based on Random Walk Basis. Specialized Research Fund for the Doctoral Program of Higher Education, Grant NO. 20110172120027, 2012.1-2014.12.
Enterprise Innovation Decision Support System based on Patent Mining. Cooperation Project in Industry,Education and Academy of Guangdong Province and Ministry of Education of China, Grant NO. 2011B090400032, 2011.12-2014.12.
Opinion Mining on the Short E-commerce Feedback Comments. Open Project from Key Laboratory of Electronic Commerce Market Application Technology, Grant NO. 2011GDECOF01, 2011.10-2013.12.
Multivariate Chaotic Time Series Analysis and Prediction based on Subspace. The Fundamental Research Funds for the Central Universities, Grant NO. 2009ZM0125, 2010.1-2011.12.
Multivariate Chaotic Time Series Prediction based on Modular Neural Networks. Natural Science Foundation of Guangdong Province, China, Grant NO. 451064101003233, 2009.10-2011.9.
Honors and Awards：
Second prize of Guangdong Provincial Science and Technology Award.
First prize of SCUT Teaching Award.
Courses：
Discrete Mathematics (For Undergraduate Students)
Students
Current PhD Students
2022 Huawen Feng, Binquan Wu
2021 Zhen Liu, Junhao Zheng, Taojie Kuang
Current Master Students
2021 Haitao Yuan, Huawen Feng, Jiaqi Liu, Yu Cheng
2020 Haibin Chen, Chuxin Chen, Siying Zhu, Xichen Shang
2019 Zhenjing Zheng, Jiawei Zheng, Zipeng Chen, Zhongzhong Yu
