Qianli Ma - RankMe

122 papers A* 26A 2C 1Journal 73Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Unified Shape-Aware Foundation Model for Time Series Classification. AAAI Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma
2026	J	`jnl`	A Unified Shape-Aware Foundation Model for Time Series Classification. CoRR Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma
2026	J	`jnl`	CompleMatch: Boosting Time-Series Semi-Supervised Classification With Temporal-Frequency Complementarity. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Liu, Kun Zeng, Qianli Ma, James T. Kwok
2026	J	`jnl`	Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation. ACM Trans. Knowl. Discov. Data Taojie Kuang, Qianli Ma, Athanasios V. Vasilakos, Yu Wang, Qiang Cheng, Zhixiang Ren
2026	—	`conf`	Interest Entropy: Rethinking Contrastive Learning for Sequential Recommendation with Interest Uncertainty. KDD (1) Binquan Wu, Kun Zeng, Yicheng Luo, Junhao Zheng, Qianli Ma
2026	J	`jnl`	Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting. CoRR Boyuan Li, Zhen Liu, Yicheng Luo, Qianli Ma
2026	J	`jnl`	Lifelong Learning of Large Language Model Based Agents: A Roadmap. IEEE Trans. Pattern Anal. Mach. Intell. Junhao Zheng, Chengming Shi, Xidi Cai, Qiuke Li, Duzhen Zhang, Chenxing Li, Dong Yu, Qianli Ma
2025	A*	`conf`	Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series. ICML Yicheng Luo, Bowen Zhang, Zhen Liu, Qianli Ma
2025	A*	`conf`	HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting. ICML Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma
2025	J	`jnl`	HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting. CoRR Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma
2025	A*	`conf`	Learning Soft Sparse Shapes for Efficient Time-Series Classification. ICML Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma
2025	J	`jnl`	Learning Soft Sparse Shapes for Efficient Time-Series Classification. CoRR Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma
2025	J	`jnl`	Lifelong Learning of Large Language Model based Agents: A Roadmap. CoRR Junhao Zheng, Chengming Shi, Xidi Cai, Qiuke Li, Duzhen Zhang, Chenxing Li, Dong Yu, Qianli Ma
2025	J	`jnl`	LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners. CoRR Junhao Zheng, Xidi Cai, Qiuke Li, Duzhen Zhang, Zhong-Zhi Li, Yingying Zhang, Le Song, Qianli Ma
2025	J	`jnl`	ListConRanker: A Contrastive Text Reranker with Listwise Encoding. CoRR Junlong Liu, Yue Ma, Ruihui Zhao, Junhao Zheng, Qianli Ma, Yangyang Kang
2025	J	`jnl`	MR-Transformer: Multiresolution Transformer for Multivariate Time Series Prediction. IEEE Trans. Neural Networks Learn. Syst. Siying Zhu, Jiawei Zheng, Qianli Ma
2025	J	`jnl`	Neural Operator Variational Inference Based on Regularized Stein Discrepancy for Deep Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng
2025	J	`jnl`	Neural-Symbolic Message Passing with Dynamic Pruning. CoRR Chongzhi Zhang, Junhao Zheng, Zhiping Peng, Qianli Ma
2025	J	`jnl`	Sequential recommendation via agent-based irrelevancy skipping. Neural Networks Yu Cheng, Jiawei Zheng, Binquan Wu, Qianli Ma
2025	A*	`conf`	Spurious Forgetting in Continual Learning of Language Models. ICLR Junhao Zheng, Xidi Cai, Shengjie Qiu, Qianli Ma
2025	J	`jnl`	Spurious Forgetting in Continual Learning of Language Models. CoRR Junhao Zheng, Xidi Cai, Shengjie Qiu, Qianli Ma
2025	J	`jnl`	Towards Lifelong Learning of Large Language Models: A Survey. ACM Comput. Surv. Junhao Zheng, Shengjie Qiu, Chengming Shi, Qianli Ma
2025	A*	`conf`	Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction. ICLR Huawen Feng, Zekun Yao, Junhao Zheng, Qianli Ma
2025	A	`conf`	Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling. UAI Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng, John Paisley
2025	—	`conf`	WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models. ACL (1) Huawen Feng, Pu Zhao, Qingfeng Sun, Can Xu, Fangkai Yang, Lu Wang, Qianli Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
2024	J	`jnl`	A Survey on Time-Series Pre-Trained Models. IEEE Trans. Knowl. Data Eng. Qianli Ma, Zhen Liu, Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T. Kwok
2024	J	`jnl`	Balancing the Causal Effects in Class-Incremental Learning. CoRR Junhao Zheng, Ruiyan Wang, Chongzhi Zhang, Huawen Feng, Qianli Ma
2024	J	`jnl`	Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer. CoRR Junhao Zheng, Qianli Ma, Zhen Liu, Binquan Wu, Huawen Feng
2024	J	`jnl`	Concept-1K: A Novel Benchmark for Instance Incremental Learning. CoRR Junhao Zheng, Shengjie Qiu, Qianli Ma
2024	A*	`conf`	Conditional Logical Message Passing Transformer for Complex Query Answering. KDD Chongzhi Zhang, Zhiping Peng, Junhao Zheng, Qianli Ma
2024	J	`jnl`	Conditional Logical Message Passing Transformer for Complex Query Answering. CoRR Chongzhi Zhang, Zhiping Peng, Junhao Zheng, Qianli Ma
2024	J	`jnl`	Cross-domain Named Entity Recognition via Graph Matching. CoRR Junhao Zheng, Haibin Chen, Qianli Ma
2024	A*	`conf`	Diffusion Language-Shapelets for Semi-supervised Time-Series Classification. AAAI Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma
2024	J	`jnl`	Does the Order Matter? A Random Generative Way to Learn Label Hierarchy for Hierarchical Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. Jingsong Yan, Piji Li, Haibin Chen, Junhao Zheng, Qianli Ma
2024	—	`conf`	Improving Factual Consistency of News Summarization by Contrastive Preference Optimization. EMNLP (Findings) Huawen Feng, Yan Fan, Xiong Liu, Ting-En Lin, Zekun Yao, Yuchuan Wu, Fei Huang, Yongbin Li, Qianli Ma
2024	—	`conf`	Incremental Sequence Labeling: A Tale of Two Shifts. ACL (Findings) Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma
2024	J	`jnl`	Incremental Sequence Labeling: A Tale of Two Shifts. CoRR Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma
2024	A*	`conf`	Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series. NeurIPS Yicheng Luo, Zhen Liu, Linghao Wang, Binquan Wu, Junhao Zheng, Qianli Ma
2024	—	`conf`	Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models. ACL (1) Junhao Zheng, Shengjie Qiu, Qianli Ma
2024	J	`jnl`	Learning consensus representations in multi-latent spaces for multi-view clustering. Neurocomputing Qianli Ma, Jiawei Zheng, Sen Li, Zhenjing Zheng, Sen Li, Garrison W. Cottrell
2024	J	`jnl`	Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering. CoRR Chongzhi Zhang, Zhiping Peng, Junhao Zheng, Linghao Wang, Ruifeng Shi, Qianli Ma
2024	J	`jnl`	Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings. CoRR Junlong Liu, Xichen Shang, Huawen Feng, Junhao Zheng, Qianli Ma
2024	J	`jnl`	Towards Lifelong Learning of Large Language Models: A Survey. CoRR Junhao Zheng, Shengjie Qiu, Chengming Shi, Qianli Ma
2024	J	`jnl`	Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling. CoRR Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng
2024	J	`jnl`	WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models. CoRR Huawen Feng, Pu Zhao, Qingfeng Sun, Can Xu, Fangkai Yang, Lu Wang, Qianli Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
2024	—	`conf`	Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification. LREC/COLING Huawen Feng, Jingsong Yan, Junlong Liu, Junhao Zheng, Qianli Ma
2024	A*	`conf`	When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning. ICDE Binquan Wu, Yu Cheng, Haitao Yuan, Qianli Ma
2023	J	`jnl`	A Survey on Time-Series Pre-Trained Models. CoRR Qianli Ma, Zhen Liu, Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T. Kwok
2023	A*	`conf`	CTW: Confident Time-Warping for Time-Series Label-Noise Learning. IJCAI Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma
2023	J	`jnl`	Category-aware optimal transport for incomplete data classification. Inf. Sci. Zhen Liu, ChuXin Chen, Qianli Ma
2023	J	`jnl`	Improving Factual Consistency of Text Summarization by Adversarially Decoupling Comprehension and Embellishment Abilities of LLMs. CoRR Huawen Feng, Yan Fan, Xiong Liu, Ting-En Lin, Zekun Yao, Yuchuan Wu, Fei Huang, Yongbin Li, Qianli Ma
2023	—	`conf`	Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction. ACL (1) Huawen Feng, Junlong Liu, Junhao Zheng, Haibin Chen, Xichen Shang, Qianli Ma
2023	J	`jnl`	Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models. CoRR Junhao Zheng, Shengjie Qiu, Qianli Ma
2023	J	`jnl`	Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction. CoRR Linghao Wang, Zhen Liu, Peitian Ma, Qianli Ma
2023	J	`jnl`	Modularized Mutuality Network for Emotion-Cause Pair Extraction. IEEE ACM Trans. Audio Speech Lang. Process. Xichen Shang, ChuXin Chen, Zipeng Chen, Qianli Ma
2023	J	`jnl`	Multiscale echo self-attention memory network for multivariate time series classification. Neurocomputing Huizi Lyu, Desen Huang, Sen Li, Wing W. Y. Ng, Qianli Ma
2023	J	`jnl`	Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes. CoRR Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng
2023	J	`jnl`	Perturbation-Based Self-Supervised Attention for Attention Bias in Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. Huawen Feng, Zhenxi Lin, Qianli Ma
2023	J	`jnl`	Perturbation-based Self-supervised Attention for Attention Bias in Text Classification. CoRR Huawen Feng, Zhenxi Lin, Qianli Ma
2023	—	`conf`	Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference. ACL (1) Junhao Zheng, Qianli Ma, Shengjie Qiu, Yue Wu, Peitian Ma, Junlong Liu, Huawen Feng, Xichen Shang, Haibin Chen
2023	J	`jnl`	Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference. CoRR Junhao Zheng, Qianli Ma, Shengjie Qiu, Yue Wu, Peitian Ma, Junlong Liu, Huawen Feng, Xichen Shang, Haibin Chen
2023	A*	`conf`	Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels. NeurIPS Zhen Liu, Peitian Ma, Dongliang Chen, Wenbin Pei, Qianli Ma
2023	J	`jnl`	Sequence labeling with MLTA: Multi-level topic-aware mechanism. Inf. Sci. Qianli Ma, Liuhong Yu, Haibin Chen, Jiangyue Yan, Zhenxi Lin
2023	A*	`conf`	Temporal-Frequency Co-training for Time Series Semi-supervised Learning. AAAI Zhen Liu, Qianli Ma, Peitian Ma, Linghao Wang
2022	J	`jnl`	Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. Qianli Ma, Sen Li, Garrison W. Cottrell
2022	—	`conf`	Cross-domain Named Entity Recognition via Graph Matching. ACL (Findings) Junhao Zheng, Haibin Chen, Qianli Ma
2022	J	`jnl`	Difference-Guided Representation Learning Network for Multivariate Time-Series Classification. IEEE Trans. Cybern. Qianli Ma, Zipeng Chen, Shuai Tian, Wing W. Y. Ng
2022	A*	`conf`	Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition. EMNLP Junhao Zheng, Zhanxian Liang, Haibin Chen, Qianli Ma
2022	J	`jnl`	Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition. CoRR Junhao Zheng, Zhanxian Liang, Haibin Chen, Qianli Ma
2022	J	`jnl`	Efficient time series anomaly detection by multiresolution self-supervised discriminative network. Neurocomputing Desen Huang, Lifeng Shen, Zhongzhong Yu, Zhenjing Zheng, Min Huang, Qianli Ma
2022	—	`conf`	It's Better to Teach Fishing than Giving a Fish: An Auto-Augmented Structure-aware Generative Model for Metaphor Detection. EMNLP (Findings) Huawen Feng, Qianli Ma
2022	A*	`conf`	Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction. EMNLP Junlong Liu, Xichen Shang, Qianli Ma
2022	J	`jnl`	Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction. CoRR Junlong Liu, Xichen Shang, Qianli Ma
2022	A	`conf`	Query Rewriting in TaoBao Search. CIKM Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T. Kwok, Qianli Ma
2021	—	`conf`	A Span-based Dynamic Local Attention Model for Sequential Sentence Classification. ACL/IJCNLP (2) Xichen Shang, Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen
2021	—	`conf`	CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning. EMNLP (1) Zhenxi Lin, Qianli Ma, Jiangyue Yan, Jieyu Chen
2021	J	`jnl`	Convolutional Multitimescale Echo State Network. IEEE Trans. Cybern. Qianli Ma, Enhuan Chen, Zhenxi Lin, Jiangyue Yan, Zhiwen Yu, Wing W. Y. Ng
2021	J	`jnl`	Corpus-Aware Graph Aggregation Network for Sequence Labeling. IEEE ACM Trans. Audio Speech Lang. Process. Haibin Chen, Qianli Ma, Liuhong Yu, Zhenxi Lin, Jiangyue Yan
2021	J	`jnl`	Deformable Self-Attention for Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. Qianli Ma, Jiangyue Yan, Zhenxi Lin, Liuhong Yu, Zipeng Chen
2021	J	`jnl`	Echo Memory-Augmented Network for time series classification. Neural Networks Qianli Ma, Zhenjing Zheng, Wanqing Zhuang, Enhuan Chen, Jia Wei, Jiabing Wang
2021	A*	`conf`	Embedding-based Product Retrieval in Taobao Search. KDD Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma
2021	J	`jnl`	Embedding-based Product Retrieval in Taobao Search. CoRR Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma
2021	—	`conf`	Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification. ACL/IJCNLP (1) Haibin Chen, Qianli Ma, Zhenxi Lin, Jiangyue Yan
2021	A*	`conf`	Joint-Label Learning by Dual Augmentation for Time Series Classification. AAAI Qianli Ma, Zhenjing Zheng, Jiawei Zheng, Sen Li, Wanqing Zhuang, Garrison W. Cottrell
2021	A*	`conf`	Learning Representations for Incomplete Time Series Clustering. AAAI Qianli Ma, ChuXin Chen, Sen Li, Garrison W. Cottrell
2021	A*	`conf`	Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation. KDD Jiawei Zheng, Qianli Ma, Hao Gu, Zhenjing Zheng
2021	J	`jnl`	Self-Supervised Time Series Clustering With Model-Based Dynamics. IEEE Trans. Neural Networks Learn. Syst. Qianli Ma, Sen Li, Wanqing Zhuang, Sen Li, Jiabing Wang, Delu Zeng
2021	A*	`conf`	Time Series Anomaly Detection with Multiresolution Ensemble Decoding. AAAI Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok
2021	A*	`conf`	Time-Aware Multi-Scale RNNs for Time Series Modeling. IJCAI Zipeng Chen, Qianli Ma, Zhenxi Lin
2020	J	`jnl`	A survey on ensemble learning. Frontiers Comput. Sci. Xibin Dong, Zhiwen Yu, Wenming Cao, Yifan Shi, Qianli Ma
2020	A*	`conf`	Adversarial Dynamic Shapelet Networks. AAAI Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell
2020	J	`jnl`	DeePr-ESN: A deep projection-encoding echo-state network. Inf. Sci. Qianli Ma, Lifeng Shen, Garrison W. Cottrell
2020	J	`jnl`	Dynamic Multi-Scale Convolutional Neural Network for Time Series Classification. IEEE Access Bin Qian, Yong Xiao, Zhenjing Zheng, Mi Zhou, Wanqing Zhuang, Sen Li, Qianli Ma
2020	J	`jnl`	End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables. IEEE Trans. Cybern. Qianli Ma, Sen Li, Lifeng Shen, Jiabing Wang, Jia Wei, Zhiwen Yu, Garrison W. Cottrell
2020	J	`jnl`	Finding dense subgraphs with maximum weighted triangle density. Inf. Sci. Jiabing Wang, Rongjie Wang, Jia Wei, Qianli Ma, Guihua Wen
2020	J	`jnl`	Graph constraint-based robust latent space low-rank and sparse subspace clustering. Neural Comput. Appl. Yunjun Xiao, Jia Wei, Jiabing Wang, Qianli Ma, Shandian Zhe, Tolga Tasdizen
2020	J	`jnl`	Long-Short Term Echo State Network for Time Series Prediction. IEEE Access Kaihong Zheng, Bin Qian, Sen Li, Yong Xiao, Wanqing Zhuang, Qianli Ma
2020	—	`conf`	MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification. EMNLP (1) Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen, Liuhong Yu
2020	A*	`conf`	Temporal Pyramid Recurrent Neural Network. AAAI Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell
2020	J	`jnl`	Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images. Medical Image Anal. Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen
2019	J	`jnl`	Attention-based spatio-temporal dependence learning network. Inf. Sci. Qianli Ma, Shuai Tian, Jia Wei, Jiabing Wang, Wing W. Y. Ng
2019	J	`jnl`	Dynamic Barycenter Averaging Kernel in RBF Networks for Time Series Classification. IEEE Access Kejian Shi, Hongyang Qin, Chijun Sima, Sen Li, Lifeng Shen, Qianli Ma
2019	J	`jnl`	Global-Local Mutual Attention Model for Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. Qianli Ma, Liuhong Yu, Shuai Tian, Enhuan Chen, Wing W. Y. Ng
2019	A*	`conf`	Learning Representations for Time Series Clustering. NeurIPS Qianli Ma, Jiawei Zheng, Sen Li, Gary W. Cottrell
2019	J	`jnl`	Relation Classification via Keyword-Attentive Sentence Mechanism and Synthetic Stimulation Loss. IEEE ACM Trans. Audio Speech Lang. Process. Luoqin Li, Jiabing Wang, Jichang Li, Qianli Ma, Jia Wei
2019	J	`jnl`	Time series classification with Echo Memory Networks. Neural Networks Qianli Ma, Wanqing Zhuang, Lifeng Shen, Garrison W. Cottrell
2019	A*	`conf`	Triple-Shapelet Networks for Time Series Classification. ICDM Qianli Ma, Wanqing Zhuang, Garrison W. Cottrell
2019	J	`jnl`	Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images. CoRR Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen
2019	—	`conf`	Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation from Multimodal Unpaired Images. MICCAI (3) Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen
2018	—	`conf`	Distillation of Random Projection Filter Bank for Time Series Classification. PRCV (3) Yufei Lin, Sen Li, Qianli Ma
2018	C	`conf`	End-to-End Time Series Imputation via Residual Short Paths. ACML Lifeng Shen, Qianli Ma, Sen Li
2017	J	`jnl`	Adaptive semi-supervised dimensionality reduction based on pairwise constraints weighting and graph optimizing. Int. J. Mach. Learn. Cybern. Meng Meng, Jia Wei, Jiabing Wang, Qianli Ma, Xuan Wang
2017	—	`conf`	Decouple Adversarial Capacities with Dual-Reservoir Network. ICONIP (5) Qianli Ma, Lifeng Shen, Wanqing Zhuang, Jieyu Chen
2017	J	`jnl`	Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework. CoRR Qianli Ma, Lifeng Shen, Garrison W. Cottrell
2017	—	`conf`	Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognition. ICONIP (2) Qianli Ma, Lifeng Shen, Ruishi Su, Jieyu Chen
2017	A*	`conf`	WALKING WALKing walking: Action Recognition from Action Echoes. IJCAI Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W. Cottrell
2016	J	`jnl`	Adaptive semi-supervised dimensionality reduction with sparse representation using pairwise constraints. Neurocomputing Jia Wei, Meng Meng, Jiabing Wang, Qianli Ma, Xuan Wang
2016	J	`jnl`	Functional echo state network for time series classification. Inf. Sci. Qianli Ma, Lifeng Shen, Weibiao Chen, Jiabin Wang, Jia Wei, Zhiwen Yu
2015	J	`jnl`	A Fast Clustering Algorithm for Data with a Few Labeled Instances. Comput. Intell. Neurosci. Jinfeng Yang, Yong Xiao, Jiabing Wang, Qianli Ma, Yanhua Shen
2014	—	`conf`	Adaptive Semi-Supervised Dimensionality Reduction. ICDM Workshops Jia Wei, Jiabing Wang, Qianli Ma, Xuan Wang
2012	—	`conf`	Determining Reservoir Topologies from Short-Term Memory in Echo State Networks. CCPR Qianli Ma, Weibiao Chen
2011	J	`jnl`	Enhanced locality preserving projections using robust path based similarity. Neurocomputing Guoxian Yu, Hong Peng, Jia Wei, Qianli Ma