研究成果



2023


  • Zhen Liu, Peitian Ma, Dongliang Chen, Wenbin Pei, and Qianli Ma. Scale-teaching: Robust Multi-scale Training for Times Series Classification with Noisy Labels.(NeurlPS 2023)

  • Jinsong Yan, Piji Li, Haibin Chen, Junhao Zheng, and Qianli Ma. Does the Order Matter? A Random Generative Way to Learn Label Hierarchy for Hierarchical Text Classification. IEEE/ACM Transactions on Audio, Speech, and Language Processing 32 (TASLP 2023)

  • Siying Zhu, Jiawei Zheng, and Qianli Ma. MR-Transformer: Multiresolution Transformer for Multivariate Time Series Prediction. IEEE Transactions on Neural Networks and Learning Systems(TNNLS 2023)

  • Peitian Ma, Zhen Liu, Junhao Zheng, Linhao Wang, and Qianli Ma. CTW: Confident Time-Warping for Time-Series Label-Noise Learning (IJCAI 2023)

  • Lyu, Huizi, Desen Huang, Sen Li, Wing WY Ng, and Qianli Ma. Multiscale echo self-attention memory network for multivariate time series classification. (Neurocomputing 2023)

  • Zhen Liu, Qianli Ma, Peitian Ma, Linghao Wang. Temporal-Frequency Co-training for Time Series Semi-supervised Learning. (AAAI 2023)

  • Zhen Liu, Chuxin Chen, Qianli Ma. Category-aware optimal transport for incomplete data classification. (Information Sciences 2023)

  • Junhao Zheng, Qianli Ma, Shengjie Qiu, Yue Wu, Peitian Ma, Junlong Liu, Huawen Feng, Xichen Shang, Haibin Chen. Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference. (ACL 2023)

  • Huawen Feng, Junlong Liu, Junhao Zheng, Haibin Chen, Xichen Shang, Qianli Ma. Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction. (ACL 2023)

  • Huawen Feng, Zhenxi Lin, Qianli Ma. Perturbation-Based Self-Supervised Attention for Attention Bias in Text Classification. (TASLP 2023)

  • Peitian Ma, Zhen Liu, Junhao Zheng, Linhao Wang, Qianli Ma. CTW:Confident Time-Warping for Time-Series Label-Noise Learning. (IJCAI 2023)



2022


  • Huang, Desen, Lifeng Shen, Zhongzhong Yu, Zhenjing Zheng, Min Huang, and Qianli Ma. Efficient time series anomaly detection by multiresolution self-supervised discriminative network. (Neurocomputing 2022)

  • Shang, Xichen, Chuxin Chen, Zipeng Chen, and Qianli Ma. Modularized Mutuality Network for Emotion-Cause Pair Extraction. IEEE/ACM Transactions on Audio, Speech, and Language Processing 31 (TASLP 2022)

  • Zheng, Junhao, Haibin Chen, and Qianli Ma. Cross-domain Named Entity Recognition via Graph Matching. In Findings of the Association for Computational Linguistics: (ACL 2022)

  • Junlong Liu, Xichen Shang, and Qianli Ma. 2022. Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)

  • Junhao Zheng, Zhanxian Liang, Haibin Chen, and Qianli Ma. 2022. Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)

  • Huawen Feng and Qianli Ma. 2022. It’s Better to Teach Fishing than Giving a Fish: An Auto-Augmented Structure-aware Generative Model for Metaphor Detection. In Findings of the Association for Computational Linguistics: (EMNLP 2022)

  • Li, Sen, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James Kwok, and Qianli Ma. Query Rewriting in TaoBao Search. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM 2022)

  • Q. Ma, Z. Chen, S. Tian and W. W. Y. Ng, Difference-Guided Representation Learning Network for Multivariate Time-Series Classification, in IEEE Transactions on Cybernetics (TCYB 2022)

  • Q. Ma, S. Li and G. W. Cottrell, Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification, in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2022)

  



2021


  • Zhenxi Lin, Qianli Ma, Jiangyue Yan, and Jieyu Chen. CATE: A contrastive pre-trained model for metaphor detection with semi-supervised learning. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)

  • 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) [pdf]

  • 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) [pdf]

  • 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) [pdf]

  • 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) [pdf]

  • 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) [pdf]

  • 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) [pdf]

  • Qianli Ma, Jiangyue Yan, et al. Deformable Self-Attention for Text Classification [J]. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP 2021) [pdf]

  • Qianli Ma, Chuxin Chen, Sen Li, Garrison Cottrell. Learning Representations for Incomplete Time Series Clustering. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021) [pdf]

  • 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) [pdf]

  • 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) [pdf]

  • Qianli Ma, Zhenjing Zheng, Wanqing Zhuang, et al. Echo Memory-Augmented Network for Time Series Classification [J]. (Neural Networks 2021) [pdf]