Qianli Ma

According to our database, Qianli Ma authored at least 92 papers between 2010 and 2025.

Collaborative distances:

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

2025

MR-Transformer: Multiresolution Transformer for Multivariate Time Series Prediction.

Siying Zhu, Jiawei Zheng, Qianli Ma

IEEE Trans. Neural Networks Learn. Syst., January, 2025

2024

A Survey on Time-Series Pre-Trained Models.

Qianli Ma, Zhen Liu, Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T. Kwok

IEEE Trans. Knowl. Data Eng., December, 2024

Does the Order Matter? A Random Generative Way to Learn Label Hierarchy for Hierarchical Text Classification.

Jingsong Yan, Piji Li, Haibin Chen, Junhao Zheng, Qianli Ma

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Learning consensus representations in multi-latent spaces for multi-view clustering.

Qianli Ma, Jiawei Zheng, Sen Li, Zhenjing Zheng, Sen Li, Garrison W. Cottrell

Neurocomputing, 2024

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling.

Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng

CoRR, 2024

Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering.

Chongzhi Zhang, Zhiping Peng, Junhao Zheng, Linghao Wang, Ruifeng Shi, Qianli Ma

CoRR, 2024

Towards Lifelong Learning of Large Language Models: A Survey.

Junhao Zheng, Shengjie Qiu, Chengming Shi, Qianli Ma

CoRR, 2024

Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings.

Junlong Liu, Xichen Shang, Huawen Feng, Junhao Zheng, Qianli Ma

CoRR, 2024

Balancing the Causal Effects in Class-Incremental Learning.

Junhao Zheng, Ruiyan Wang, Chongzhi Zhang, Huawen Feng, Qianli Ma

CoRR, 2024

Concept-1K: A Novel Benchmark for Instance Incremental Learning.

Junhao Zheng, Shengjie Qiu, Qianli Ma

CoRR, 2024

Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer.

Junhao Zheng, Qianli Ma, Zhen Liu, Binquan Wu, Huawen Feng

CoRR, 2024

Conditional Logical Message Passing Transformer for Complex Query Answering.

Chongzhi Zhang, Zhiping Peng, Junhao Zheng, Qianli Ma

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning.

Binquan Wu, Yu Cheng, Haitao Yuan, Qianli Ma

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Improving Factual Consistency of News Summarization by Contrastive Preference Optimization.

Huawen Feng, Yan Fan, Xiong Liu, Ting-En Lin, Zekun Yao, Yuchuan Wu, Fei Huang, Yongbin Li, Qianli Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification.

Huawen Feng, Jingsong Yan, Junlong Liu, Junhao Zheng, Qianli Ma

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models.

Junhao Zheng, Shengjie Qiu, Qianli Ma

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Incremental Sequence Labeling: A Tale of Two Shifts.

Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Diffusion Language-Shapelets for Semi-supervised Time-Series Classification.

Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Sequence labeling with MLTA: Multi-level topic-aware mechanism.

Qianli Ma, Liuhong Yu, Haibin Chen, Jiangyue Yan, Zhenxi Lin

Inf. Sci., August, 2023

Category-aware optimal transport for incomplete data classification.

Zhen Liu, Chuxin Chen, Qianli Ma

Inf. Sci., July, 2023

Modularized Mutuality Network for Emotion-Cause Pair Extraction.

Xichen Shang, Chuxin Chen, Zipeng Chen, Qianli Ma

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Perturbation-Based Self-Supervised Attention for Attention Bias in Text Classification.

Huawen Feng, Zhenxi Lin, Qianli Ma

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Multiscale echo self-attention memory network for multivariate time series classification.

Huizi Lyu, Desen Huang, Sen Li, Wing W. Y. Ng, Qianli Ma

Neurocomputing, 2023

Improving Factual Consistency of Text Summarization by Adversarially Decoupling Comprehension and Embellishment Abilities of LLMs.

Huawen Feng, Yan Fan, Xiong Liu, Ting-En Lin, Zekun Yao, Yuchuan Wu, Fei Huang, Yongbin Li, Qianli Ma

CoRR, 2023

Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes.

Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng

CoRR, 2023

Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction.

Linghao Wang, Zhen Liu, Peitian Ma, Qianli Ma

CoRR, 2023

Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels.

Zhen Liu, Peitian Ma, Dongliang Chen, Wenbin Pei, Qianli Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CTW: Confident Time-Warping for Time-Series Label-Noise Learning.

Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference.

Junhao Zheng, Qianli Ma, Shengjie Qiu, Yue Wu, Peitian Ma, Junlong Liu, Huawen Feng, Xichen Shang, Haibin Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction.

Huawen Feng, Junlong Liu, Junhao Zheng, Haibin Chen, Xichen Shang, Qianli Ma

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Temporal-Frequency Co-training for Time Series Semi-supervised Learning.

Zhen Liu, Qianli Ma, Peitian Ma, Linghao Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Difference-Guided Representation Learning Network for Multivariate Time-Series Classification.

Qianli Ma, Zipeng Chen, Shuai Tian, Wing W. Y. Ng

IEEE Trans. Cybern., 2022

Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification.

Qianli Ma, Sen Li, Garrison W. Cottrell

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Efficient time series anomaly detection by multiresolution self-supervised discriminative network.

Desen Huang, Lifeng Shen, Zhongzhong Yu, Zhenjing Zheng, Min Huang, Qianli Ma

Neurocomputing, 2022

Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition.

Junhao Zheng, Zhanxian Liang, Haibin Chen, Qianli Ma

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction.

Junlong Liu, Xichen Shang, Qianli Ma

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

It's Better to Teach Fishing than Giving a Fish: An Auto-Augmented Structure-aware Generative Model for Metaphor Detection.

Huawen Feng, Qianli Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Query Rewriting in TaoBao Search.

Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T. Kwok, Qianli Ma

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Cross-domain Named Entity Recognition via Graph Matching.

Junhao Zheng, Haibin Chen, Qianli Ma

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Self-Supervised Time Series Clustering With Model-Based Dynamics.

Qianli Ma, Sen Li, Wanqing Zhuang, Sen Li, Jiabing Wang, Delu Zeng

IEEE Trans. Neural Networks Learn. Syst., 2021

Convolutional Multitimescale Echo State Network.

Qianli Ma, Enhuan Chen, Zhenxi Lin, Jiangyue Yan, Zhiwen Yu, Wing W. Y. Ng

IEEE Trans. Cybern., 2021

Deformable Self-Attention for Text Classification.

Qianli Ma, Jiangyue Yan, Zhenxi Lin, Liuhong Yu, Zipeng Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Corpus-Aware Graph Aggregation Network for Sequence Labeling.

Haibin Chen, Qianli Ma, Liuhong Yu, Zhenxi Lin, Jiangyue Yan

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Echo Memory-Augmented Network for time series classification.

Qianli Ma, Zhenjing Zheng, Wanqing Zhuang, Enhuan Chen, Jia Wei, Jiabing Wang

Neural Networks, 2021

Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation.

Jiawei Zheng, Qianli Ma, Hao Gu, Zhenjing Zheng

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Embedding-based Product Retrieval in Taobao Search.

Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Time-Aware Multi-Scale RNNs for Time Series Modeling.

Zipeng Chen, Qianli Ma, Zhenxi Lin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning.

Zhenxi Lin, Qianli Ma, Jiangyue Yan, Jieyu Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Span-based Dynamic Local Attention Model for Sequential Sentence Classification.

Xichen Shang, Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification.

Haibin Chen, Qianli Ma, Zhenxi Lin, Jiangyue Yan

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Time Series Anomaly Detection with Multiresolution Ensemble Decoding.

Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Joint-Label Learning by Dual Augmentation for Time Series Classification.

Qianli Ma, Zhenjing Zheng, Jiawei Zheng, Sen Li, Wanqing Zhuang, Garrison W. Cottrell

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Representations for Incomplete Time Series Clustering.

Qianli Ma, Chuxin Chen, Sen Li, Garrison W. Cottrell

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables.

Qianli Ma, Sen Li, Lifeng Shen, Jiabing Wang, Jia Wei, Zhiwen Yu, Garrison W. Cottrell

IEEE Trans. Cybern., 2020

Graph constraint-based robust latent space low-rank and sparse subspace clustering.

Yunjun Xiao, Jia Wei, Jiabing Wang, Qianli Ma, Shandian Zhe, Tolga Tasdizen

Neural Comput. Appl., 2020

Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images.

Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen

Medical Image Anal., 2020

Finding dense subgraphs with maximum weighted triangle density.

Jiabing Wang, Rongjie Wang, Jia Wei, Qianli Ma, Guihua Wen

Inf. Sci., 2020

DeePr-ESN: A deep projection-encoding echo-state network.

Qianli Ma, Lifeng Shen, Garrison W. Cottrell

Inf. Sci., 2020

A survey on ensemble learning.

Xibin Dong, Zhiwen Yu, Wenming Cao, Yifan Shi, Qianli Ma

Frontiers Comput. Sci., 2020

Long-Short Term Echo State Network for Time Series Prediction.

Kaihong Zheng, Bin Qian, Sen Li, Yong Xiao, Wanqing Zhuang, Qianli Ma

IEEE Access, 2020

Dynamic Multi-Scale Convolutional Neural Network for Time Series Classification.

Bin Qian, Yong Xiao, Zhenjing Zheng, Mi Zhou, Wanqing Zhuang, Sen Li, Qianli Ma

IEEE Access, 2020

MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification.

Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen, Liuhong Yu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Adversarial Dynamic Shapelet Networks.

Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell

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

Temporal Pyramid Recurrent Neural Network.

Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell

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

2019

Global-Local Mutual Attention Model for Text Classification.

Qianli Ma, Liuhong Yu, Shuai Tian, Enhuan Chen, Wing W. Y. Ng

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Relation Classification via Keyword-Attentive Sentence Mechanism and Synthetic Stimulation Loss.

Luoqin Li, Jiabing Wang, Jichang Li, Qianli Ma, Jia Wei

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Time series classification with Echo Memory Networks.

Qianli Ma, Wanqing Zhuang, Lifeng Shen, Garrison W. Cottrell

Neural Networks, 2019

Attention-based spatio-temporal dependence learning network.

Qianli Ma, Shuai Tian, Jia Wei, Jiabing Wang, Wing W. Y. Ng

Inf. Sci., 2019

Dynamic Barycenter Averaging Kernel in RBF Networks for Time Series Classification.

Kejian Shi, Hongyang Qin, Chijun Sima, Sen Li, Lifeng Shen, Qianli Ma

IEEE Access, 2019

Learning Representations for Time Series Clustering.

Qianli Ma, Jiawei Zheng, Sen Li, Gary W. Cottrell

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation from Multimodal Unpaired Images.

Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Triple-Shapelet Networks for Time Series Classification.

Qianli Ma, Wanqing Zhuang, Garrison W. Cottrell

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Distillation of Random Projection Filter Bank for Time Series Classification.

Yufei Lin, Sen Li, Qianli Ma

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

End-to-End Time Series Imputation via Residual Short Paths.

Lifeng Shen, Qianli Ma, Sen Li

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

Adaptive semi-supervised dimensionality reduction based on pairwise constraints weighting and graph optimizing.

Meng Meng, Jia Wei, Jiabing Wang, Qianli Ma, Xuan Wang

Int. J. Mach. Learn. Cybern., 2017

Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework.

Qianli Ma, Lifeng Shen, Garrison W. Cottrell

CoRR, 2017

WALKING WALKing walking: Action Recognition from Action Echoes.

Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W. Cottrell

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Decouple Adversarial Capacities with Dual-Reservoir Network.

Qianli Ma, Lifeng Shen, Wanqing Zhuang, Jieyu Chen

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognition.

Qianli Ma, Lifeng Shen, Ruishi Su, Jieyu Chen

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Functional echo state network for time series classification.

Qianli Ma, Lifeng Shen, Weibiao Chen, Jiabin Wang, Jia Wei, Zhiwen Yu

Inf. Sci., 2016

Adaptive semi-supervised dimensionality reduction with sparse representation using pairwise constraints.

Jia Wei, Meng Meng, Jiabing Wang, Qianli Ma, Xuan Wang

Neurocomputing, 2016

2015

A Fast Clustering Algorithm for Data with a Few Labeled Instances.

Jinfeng Yang, Yong Xiao, Jiabing Wang, Qianli Ma, Yanhua Shen

Comput. Intell. Neurosci., 2015

2014

Direct model of memory properties and the linear reservoir topologies in echo state networks.

Qian-Li Ma, Wei-Biao Chen, Jia Wei, Zhiwen Yu

Appl. Soft Comput., 2014

Adaptive Semi-Supervised Dimensionality Reduction.

Jia Wei, Jiabing Wang, Qianli Ma, Xuan Wang

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

Modular state space of echo state network.

Qian-Li Ma, Wei-Biao Chen

Neurocomputing, 2013

2012

A Keyword Based Prototype for Web Search Result Diversification.

Gu-Li Lin, Hong Peng, Qian-Li Ma, Jia Wei, Jiang-Wei Qin

J. Inf. Sci. Eng., 2012

Determining Reservoir Topologies from Short-Term Memory in Echo State Networks.

Qianli Ma, Weibiao Chen

Proceedings of the Pattern Recognition - Chinese Conference, 2012

2011

Enhanced locality preserving projections using robust path based similarity.

Guoxian Yu, Hong Peng, Jia Wei, Qianli Ma

Neurocomputing, 2011

2010

ASM: An adaptive simplification method for 3D point-based models.

Zhiwen Yu, Hau-San Wong, Hong Peng, Qian-Li Ma

Comput. Aided Des., 2010

Multi-step Bridged Refinement for classifying cross-domian data.

Jiang-Wei Qin, Hong Peng, Peng Liang, Qian-Li Ma, Jia Wei

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Improving diversity in Web search results re-ranking using absorbing random walks.

Gu-Li Lin, Hong Peng, Qian-Li Ma, Jia Wei, Jiang-Wei Qin

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Shared reservoir modular echo state networks for chaotic time series prediction.

Wei-Biao Chen, Qian-Li Ma, Hong Peng

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010