Shared reservoir modular echo state networks for chaotic time series prediction. - Wei-Biao Chen; Qian-Li Ma 001; Hong Peng (ICMLC, 2010)

Improving diversity in Web search results re-ranking using absorbing random walks. - Gu-Li Lin; Hong Peng; Qian-Li Ma 001; Jia Wei; Jiang-Wei Qin (ICMLC, 2010)

Multi-step Bridged Refinement for classifying cross-domian data. - Jiang-Wei Qin; Hong Peng; Peng Liang 003; Qian-Li Ma 001; Jia Wei (ICMLC, 2010)

ASM: An adaptive simplification method for 3D point-based models. - Zhiwen Yu 002; Hau-San Wong; Hong Peng; Qian-Li Ma 001 (Comput. Aided Des., 2010)

Enhanced locality preserving projections using robust path based similarity. - Guoxian Yu; Hong Peng; Jia Wei; Qianli Ma 001 (Neurocomputing, 2011)

Determining Reservoir Topologies from Short-Term Memory in Echo State Networks. - Qianli Ma 001; Weibiao Chen (CCPR, 2012)

A Keyword Based Prototype for Web Search Result Diversification. - Gu-Li Lin; Hong Peng; Qian-Li Ma 001; Jia Wei; Jiang-Wei Qin (J. Inf. Sci. Eng., 2012)

Modular state space of echo state network. - Qian-Li Ma 001; Wei-Biao Chen (Neurocomputing, 2013)

Adaptive Semi-Supervised Dimensionality Reduction. - Jia Wei; Jiabing Wang; Qianli Ma 001; Xuan Wang 002 (ICDM Workshops, 2014)

Direct model of memory properties and the linear reservoir topologies in echo state networks. - Qian-Li Ma 001; Wei-Biao Chen; Jia Wei; Zhiwen Yu 002 (Appl. Soft Comput., 2014)

A Fast Clustering Algorithm for Data with a Few Labeled Instances. - Jinfeng Yang; Yong Xiao; Jiabing Wang; Qianli Ma 001; Yanhua Shen (Comput. Intell. Neurosci., 2015)

Adaptive semi-supervised dimensionality reduction with sparse representation using pairwise constraints. - Jia Wei; Meng Meng; Jiabing Wang; Qianli Ma 001; Xuan Wang 002 (Neurocomputing, 2016)

Functional echo state network for time series classification. - Qianli Ma 001; Lifeng Shen; Weibiao Chen; Jiabin Wang; Jia Wei; Zhiwen Yu 002 (Inf. Sci., 2016)

Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognition. - Qianli Ma 001; Lifeng Shen; Ruishi Su; Jieyu Chen (ICONIP (2), 2017)

Decouple Adversarial Capacities with Dual-Reservoir Network. - Qianli Ma 001; Lifeng Shen; Wanqing Zhuang; Jieyu Chen (ICONIP (5), 2017)

WALKING WALKing walking: Action Recognition from Action Echoes. - Qianli Ma 001; Lifeng Shen; Enhuan Chen; Shuai Tian; Jiabing Wang; Garrison W. Cottrell (IJCAI, 2017)

Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework. - Qianli Ma 001; Lifeng Shen; Garrison W. Cottrell (CoRR, 2017)

Adaptive semi-supervised dimensionality reduction based on pairwise constraints weighting and graph optimizing. - Meng Meng; Jia Wei; Jiabing Wang; Qianli Ma 001; Xuan Wang 002 (Int. J. Mach. Learn. Cybern., 2017)

End-to-End Time Series Imputation via Residual Short Paths. - Lifeng Shen; Qianli Ma 001; Sen Li 001 (ACML, 2018)

Distillation of Random Projection Filter Bank for Time Series Classification. - Yufei Lin; Sen Li 001; Qianli Ma 001 (PRCV (3), 2018)

Triple-Shapelet Networks for Time Series Classification. - Qianli Ma 001; Wanqing Zhuang; Garrison W. Cottrell (ICDM, 2019)

Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation from Multimodal Unpaired Images. - Wenguang Yuan; Jia Wei; Jiabing Wang; Qianli Ma 001; Tolga Tasdizen (MICCAI (3), 2019)

Learning Representations for Time Series Clustering. - Qianli Ma 001; Jiawei Zheng; Sen Li 001; Gary W. Cottrell (NeurIPS, 2019)

Dynamic Barycenter Averaging Kernel in RBF Networks for Time Series Classification. - Kejian Shi; Hongyang Qin; Chijun Sima; Sen Li 001; Lifeng Shen; Qianli Ma 001 (IEEE Access, 2019)

Attention-based spatio-temporal dependence learning network. - Qianli Ma 001; Shuai Tian; Jia Wei; Jiabing Wang; Wing W. Y. Ng (Inf. Sci., 2019)

Time series classification with Echo Memory Networks. - Qianli Ma 001; Wanqing Zhuang; Lifeng Shen; Garrison W. Cottrell (Neural Networks, 2019)

Relation Classification via Keyword-Attentive Sentence Mechanism and Synthetic Stimulation Loss. - Luoqin Li; Jiabing Wang; Jichang Li; Qianli Ma 001; Jia Wei (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Global-Local Mutual Attention Model for Text Classification. - Qianli Ma 001; Liuhong Yu; Shuai Tian; Enhuan Chen; Wing W. Y. Ng (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Temporal Pyramid Recurrent Neural Network. - Qianli Ma 001; Zhenxi Lin; Enhuan Chen; Garrison W. Cottrell (AAAI, 2020)

Adversarial Dynamic Shapelet Networks. - Qianli Ma 001; Wanqing Zhuang; Sen Li 001; Desen Huang; Garrison W. Cottrell (AAAI, 2020)

MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification. - Qianli Ma 001; Zhenxi Lin; Jiangyue Yan; Zipeng Chen; Liuhong Yu (EMNLP (1), 2020)

Dynamic Multi-Scale Convolutional Neural Network for Time Series Classification. - Bin Qian 003; Yong Xiao; Zhenjing Zheng; Mi Zhou; Wanqing Zhuang; Sen Li 001; Qianli Ma 001 (IEEE Access, 2020)

Long-Short Term Echo State Network for Time Series Prediction. - Kaihong Zheng; Bin Qian 003; Sen Li 001; Yong Xiao; Wanqing Zhuang; Qianli Ma 001 (IEEE Access, 2020)

A survey on ensemble learning. - Xibin Dong; Zhiwen Yu 002; Wenming Cao 002; Yifan Shi; Qianli Ma 001 (Frontiers Comput. Sci., 2020)

DeePr-ESN: A deep projection-encoding echo-state network. - Qianli Ma 001; Lifeng Shen; Garrison W. Cottrell (Inf. Sci., 2020)

Finding dense subgraphs with maximum weighted triangle density. - Jiabing Wang; Rongjie Wang; Jia Wei; Qianli Ma 001; Guihua Wen (Inf. Sci., 2020)

Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images. - Wenguang Yuan; Jia Wei; Jiabing Wang; Qianli Ma 001; Tolga Tasdizen (Medical Image Anal., 2020)

Graph constraint-based robust latent space low-rank and sparse subspace clustering. - Yunjun Xiao; Jia Wei; Jiabing Wang; Qianli Ma 001; Shandian Zhe; Tolga Tasdizen (Neural Comput. Appl., 2020)

End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables. - Qianli Ma 001; Sen Li 001; Lifeng Shen; Jiabing Wang; Jia Wei; Zhiwen Yu 002; Garrison W. Cottrell (IEEE Trans. Cybern., 2020)

Learning Representations for Incomplete Time Series Clustering. - Qianli Ma 001; Chuxin Chen; Sen Li 001; Garrison W. Cottrell (AAAI, 2021)

Joint-Label Learning by Dual Augmentation for Time Series Classification. - Qianli Ma 001; Zhenjing Zheng; Jiawei Zheng; Sen Li 001; Wanqing Zhuang; Garrison W. Cottrell (AAAI, 2021)

Time Series Anomaly Detection with Multiresolution Ensemble Decoding. - Lifeng Shen; Zhongzhong Yu; Qianli Ma 001; James T. Kwok (AAAI, 2021)

Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification. - Haibin Chen; Qianli Ma 001; Zhenxi Lin; Jiangyue Yan (ACL/IJCNLP (1), 2021)

A Span-based Dynamic Local Attention Model for Sequential Sentence Classification. - Xichen Shang; Qianli Ma 001; Zhenxi Lin; Jiangyue Yan; Zipeng Chen (ACL/IJCNLP (2), 2021)

CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning. - Zhenxi Lin; Qianli Ma 001; Jiangyue Yan; Jieyu Chen (EMNLP (1), 2021)

Time-Aware Multi-Scale RNNs for Time Series Modeling. - Zipeng Chen; Qianli Ma 001; Zhenxi Lin (IJCAI, 2021)

Embedding-based Product Retrieval in Taobao Search. - Sen Li 001; Fuyu Lv; Taiwei Jin; Guli Lin; Keping Yang; Xiaoyi Zeng; Xiao-Ming Wu 003; Qianli Ma 001 (KDD, 2021)

Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation. - Jiawei Zheng; Qianli Ma 001; Hao Gu; Zhenjing Zheng (KDD, 2021)

Echo Memory-Augmented Network for time series classification. - Qianli Ma 001; Zhenjing Zheng; Wanqing Zhuang; Enhuan Chen; Jia Wei; Jiabing Wang (Neural Networks, 2021)

Corpus-Aware Graph Aggregation Network for Sequence Labeling. - Haibin Chen; Qianli Ma 001; Liuhong Yu; Zhenxi Lin; Jiangyue Yan (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Deformable Self-Attention for Text Classification. - Qianli Ma 001; Jiangyue Yan; Zhenxi Lin; Liuhong Yu; Zipeng Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Convolutional Multitimescale Echo State Network. - Qianli Ma 001; Enhuan Chen; Zhenxi Lin; Jiangyue Yan; Zhiwen Yu 002; Wing W. Y. Ng (IEEE Trans. Cybern., 2021)

Self-Supervised Time Series Clustering With Model-Based Dynamics. - Qianli Ma 001; Sen Li 002; Wanqing Zhuang; Sen Li 001; Jiabing Wang; Delu Zeng (IEEE Trans. Neural Networks Learn. Syst., 2021)

Cross-domain Named Entity Recognition via Graph Matching. - Junhao Zheng; Haibin Chen; Qianli Ma 001 (ACL (Findings), 2022)

Query Rewriting in TaoBao Search. - Sen Li 001; Fuyu Lv; Taiwei Jin; Guiyang Li; Yukun Zheng; Tao Zhuang; Qingwen Liu 002; Xiaoyi Zeng; James T. Kwok; Qianli Ma 001 (CIKM, 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 001 (EMNLP (Findings), 2022)

Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction. - Junlong Liu; Xichen Shang; Qianli Ma 001 (EMNLP, 2022)

Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition. - Junhao Zheng; Zhanxian Liang; Haibin Chen; Qianli Ma 001 (EMNLP, 2022)

Efficient time series anomaly detection by multiresolution self-supervised discriminative network. - Desen Huang; Lifeng Shen; Zhongzhong Yu; Zhenjing Zheng; Min Huang; Qianli Ma 001 (Neurocomputing, 2022)

Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification. - Qianli Ma 001; Sen Li 001; Garrison W. Cottrell (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Difference-Guided Representation Learning Network for Multivariate Time-Series Classification. - Qianli Ma 001; Zipeng Chen; Shuai Tian; Wing W. Y. Ng (IEEE Trans. Cybern., 2022)

Temporal-Frequency Co-training for Time Series Semi-supervised Learning. - Zhen Liu 023; Qianli Ma 001; Peitian Ma; Linghao Wang (AAAI, 2023)

Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction. - Huawen Feng; Junlong Liu; Junhao Zheng; Haibin Chen; Xichen Shang; Qianli Ma 001 (ACL (1), 2023)

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference. - Junhao Zheng; Qianli Ma 001; Shengjie Qiu; Yue Wu; Peitian Ma; Junlong Liu; Huawen Feng; Xichen Shang; Haibin Chen (ACL (1), 2023)

CTW: Confident Time-Warping for Time-Series Label-Noise Learning. - Peitian Ma; Zhen Liu 023; Junhao Zheng; Linghao Wang; Qianli Ma 001 (IJCAI, 2023)

Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels. - Zhen Liu 023; Peitian Ma; Dongliang Chen; Wenbin Pei; Qianli Ma 001 (NeurIPS, 2023)

Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction. - Linghao Wang; Zhen Liu 023; Peitian Ma; Qianli Ma 001 (CoRR, 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 002; Yongbin Li; Qianli Ma 001 (CoRR, 2023)

Multiscale echo self-attention memory network for multivariate time series classification. - Huizi Lyu; Desen Huang; Sen Li 001; Wing W. Y. Ng; Qianli Ma 001 (Neurocomputing, 2023)

Perturbation-Based Self-Supervised Attention for Attention Bias in Text Classification. - Huawen Feng; Zhenxi Lin; Qianli Ma 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Modularized Mutuality Network for Emotion-Cause Pair Extraction. - Xichen Shang; Chuxin Chen; Zipeng Chen; Qianli Ma 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Category-aware optimal transport for incomplete data classification. - Zhen Liu 023; Chuxin Chen; Qianli Ma 001 (Inf. Sci., 2023)

Sequence labeling with MLTA: Multi-level topic-aware mechanism. - Qianli Ma 001; Liuhong Yu; Haibin Chen; Jiangyue Yan; Zhenxi Lin (Inf. Sci., 2023)

Diffusion Language-Shapelets for Semi-supervised Time-Series Classification. - Zhen Liu 023; Wenbin Pei; Disen Lan; Qianli Ma 001 (AAAI, 2024)

Incremental Sequence Labeling: A Tale of Two Shifts. - Shengjie Qiu; Junhao Zheng; Zhen Liu 023; Yicheng Luo; Qianli Ma 001 (ACL (Findings), 2024)

Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models. - Junhao Zheng; Shengjie Qiu; Qianli Ma 001 (ACL (1), 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 001 (LREC/COLING, 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 002; Yongbin Li; Qianli Ma 001 (EMNLP (Findings), 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 001 (ICDE, 2024)

Conditional Logical Message Passing Transformer for Complex Query Answering. - Chongzhi Zhang; Zhiping Peng; Junhao Zheng; Qianli Ma 001 (KDD, 2024)

Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series. - Yicheng Luo; Zhen Liu 023; Linghao Wang; Binquan Wu; Junhao Zheng; Qianli Ma 001 (NeurIPS, 2024)

Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer. - Junhao Zheng; Qianli Ma 001; Zhen Liu 023; Binquan Wu; Huawen Feng (CoRR, 2024)

Concept-1K: A Novel Benchmark for Instance Incremental Learning. - Junhao Zheng; Shengjie Qiu; Qianli Ma 001 (CoRR, 2024)

Balancing the Causal Effects in Class-Incremental Learning. - Junhao Zheng; Ruiyan Wang; Chongzhi Zhang; Huawen Feng; Qianli Ma 001 (CoRR, 2024)

Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings. - Junlong Liu; Xichen Shang; Huawen Feng; Junhao Zheng; Qianli Ma 001 (CoRR, 2024)

Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering. - Chongzhi Zhang; Zhiping Peng; Junhao Zheng; Linghao Wang; Ruifeng Shi; Qianli Ma 001 (CoRR, 2024)

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling. - Jian Xu 021; Shian Du; Junmei Yang; Qianli Ma 001; Delu Zeng (CoRR, 2024)

Learning consensus representations in multi-latent spaces for multi-view clustering. - Qianli Ma 001; Jiawei Zheng; Sen Li 001; Zhenjing Zheng; Sen Li 002; Garrison W. Cottrell (Neurocomputing, 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 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

A Survey on Time-Series Pre-Trained Models. - Qianli Ma 001; Zhen Liu 023; Zhenjing Zheng; Ziyang Huang; Siying Zhu; Zhongzhong Yu; James T. Kwok (IEEE Trans. Knowl. Data Eng., 2024)

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models. - Huawen Feng; Pu Zhao 004; Qingfeng Sun; Can Xu; Fangkai Yang; Lu Wang 029; Qianli Ma 001; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (ACL (1), 2025)

Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction. - Huawen Feng; Zekun Yao; Junhao Zheng; Qianli Ma 001 (ICLR, 2025)

Spurious Forgetting in Continual Learning of Language Models. - Junhao Zheng; Xidi Cai; Shengjie Qiu; Qianli Ma 001 (ICLR, 2025)

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling. - Jian Xu 021; Shian Du; Junmei Yang; Qianli Ma 001; Delu Zeng; John Paisley (UAI, 2025)

Sequential recommendation via agent-based irrelevancy skipping. - Yu Cheng; Jiawei Zheng; Binquan Wu; Qianli Ma 001 (Neural Networks, 2025)

ListConRanker: A Contrastive Text Reranker with Listwise Encoding. - Junlong Liu; Yue Ma; Ruihui Zhao; Junhao Zheng; Qianli Ma 001; Yangyang Kang (CoRR, 2025)

Lifelong Learning of Large Language Model based Agents: A Roadmap. - Junhao Zheng; Chengming Shi; Xidi Cai; Qiuke Li; Duzhen Zhang; Chenxing Li; Dong Yu 001; Qianli Ma 001 (CoRR, 2025)

Neural-Symbolic Message Passing with Dynamic Pruning. - Chongzhi Zhang; Junhao Zheng; Zhiping Peng; Qianli Ma 001 (CoRR, 2025)

MR-Transformer: Multiresolution Transformer for Multivariate Time Series Prediction. - Siying Zhu; Jiawei Zheng; Qianli Ma 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Neural Operator Variational Inference Based on Regularized Stein Discrepancy for Deep Gaussian Processes. - Jian Xu 021; Shian Du; Junmei Yang; Qianli Ma 001; Delu Zeng (IEEE Trans. Neural Networks Learn. Syst., 2025)

LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners. - Junhao Zheng; Xidi Cai; Qiuke Li; Duzhen Zhang; Zhong-Zhi Li; Yingying Zhang; Le Song; Qianli Ma 001 (CoRR, 2025)

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting. - Boyuan Li; Yicheng Luo; Zhen Liu 023; Junhao Zheng; Jianming Lv; Qianli Ma 001 (CoRR, 2025)

Towards Lifelong Learning of Large Language Models: A Survey. - Junhao Zheng; Shengjie Qiu; Chengming Shi; Qianli Ma 001 (ACM Comput. Surv., 2025)