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Journal Articles
- 2025
[j57]Xiao Pu, Zhiwen Wang, Lin Yuan
, Yu Wu, Liping Jing, Xinbo Gao:
GADNet: Improving image-text matching via graph-based aggregation and disentanglement. Pattern Recognit. 157: 110900 (2025)- 2024
- [j56]Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu, Weifeng Geng, Gencheng Ye:
Deep fair clustering with multi-level decorrelation. Inf. Sci. 681: 121252 (2024) - [j55]Xiao Pu, Yuwen Chen, Lin Yuan, Yan Zhang, Hongbo Li, Liping Jing, Xinbo Gao:
MiC: Image-text Matching in Circles with cross-modal generative knowledge enhancement. Knowl. Based Syst. 289: 111503 (2024) - [j54]Yu Chen, Liyan Ma, Liping Jing, Jian Yu:
BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection. Pattern Recognit. 152: 110472 (2024) - [j53]Jiaqi Wang, Huafeng Liu, Liping Jing:
Transparent Embedding Space for Interpretable Image Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3204-3219 (2024) - [j52]Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu:
Structure-Driven Representation Learning for Deep Clustering. ACM Trans. Knowl. Discov. Data 18(1): 31:1-31:25 (2024) - [j51]Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng:
Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes. IEEE Trans. Knowl. Data Eng. 36(7): 3237-3251 (2024) - 2023
- [j50]Yilin Lyu, Liping Jing, Jiaqi Wang, Mingzhe Guo, Xinyue Wang, Jian Yu:
Siamese transformer with hierarchical concept embedding for fine-grained image recognition. Sci. China Inf. Sci. 66(3) (2023) - [j49]Mingyang Song, Lin Xiao, Liping Jing:
Learning to extract from multiple perspectives for neural keyphrase extraction. Comput. Speech Lang. 81: 101502 (2023) - [j48]Pengyu Xu, Mingxuan Xia, Lin Xiao, Huafeng Liu, Bing Liu, Liping Jing, Jian Yu:
Textual tag recommendation with multi-tag topical attention. Neurocomputing 537: 73-84 (2023) - [j47]Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, Tieyong Zeng:
Deep Generative Mixture Model for Robust Imbalance Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2897-2912 (2023) - [j46]Xuetao Tian, Liping Jing, Fang Luo, Sheng Zhang:
Shyness Trait Recognition for Schoolchildren via Multi-View Features of Online Writing. IEEE Trans. Affect. Comput. 14(1): 509-522 (2023) - [j45]Lin Xiao, Pengyu Xu, Mingyang Song, Huafeng Liu, Liping Jing, Xiangliang Zhang:
Triple Alliance Prototype Orthotist Network for Long-Tailed Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2616-2628 (2023) - 2022
- [j44]Xuetao Tian, Liping Jing, Fang Luo, Feng Liu:
Inference during reading: multi-label classification for text with continuous semantic units. Appl. Intell. 52(6): 6292-6305 (2022) - [j43]Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu:
Leveraging implicit social structures for recommendation via a Bayesian generative model. Sci. China Inf. Sci. 65(4) (2022) - [j42]Lin Xiao, Pengyu Xu, Liping Jing, Uchenna Akujuobi, Xiangliang Zhang:
Semantic guide for semi-supervised few-shot multi-label node classification. Inf. Sci. 591: 235-250 (2022) - [j41]Xin Liu, Kairui Zhou, Pengbo Yang, Liping Jing, Jian Yu:
Adaptive distribution calibration for few-shot learning via optimal transport. Inf. Sci. 611: 1-17 (2022) - [j40]Xin Huang, Boli Chen, Lin Xiao, Jian Yu, Liping Jing:
Label-Aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification. Neural Process. Lett. 54(5): 3601-3617 (2022) - [j39]Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jian Yu, Michael K. Ng:
Bayesian Additive Matrix Approximation for Social Recommendation. ACM Trans. Knowl. Discov. Data 16(1): 7:1-7:34 (2022) - 2021
- [j38]Xinyue Wang, Jian Xu, Tieyong Zeng, Liping Jing:
Local distribution-based adaptive minority oversampling for imbalanced data classification. Neurocomputing 422: 200-213 (2021) - [j37]Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jiaqi Wang, Jian Yu, Michael K. Ng:
Interpretable Deep Generative Recommendation Models. J. Mach. Learn. Res. 22: 202:1-202:54 (2021) - [j36]Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Tieyong Zeng:
Smooth Soft-Balance Discriminative Analysis for imbalanced data. Knowl. Based Syst. 228: 106604 (2021) - [j35]Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng:
Social Recommendation With Learning Personal and Social Latent Factors. IEEE Trans. Knowl. Data Eng. 33(7): 2956-2970 (2021) - 2020
- [j34]Xinyue Wang, Bo Liu, Siyu Cao, Liping Jing, Jian Yu:
Important sampling based active learning for imbalance classification. Sci. China Inf. Sci. 63(8): 1-14 (2020) - [j33]Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li:
Adaptive Sample-Level Graph Combination for Partial Multiview Clustering. IEEE Trans. Image Process. 29: 2780-2794 (2020) - [j32]Miaomiao Cheng, Liping Jing, Michael K. Ng:
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval. ACM Trans. Inf. Syst. 38(3): 30:1-30:25 (2020) - 2019
- [j31]Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Liping Jing:
Clustering ensemble based on sample's stability. Artif. Intell. 273: 37-55 (2019) - [j30]Bo Liu, Liping Jing, Jia Li, Jian Yu, Alex Gittens, Michael W. Mahoney:
Group Collaborative Representation for Image Set Classification. Int. J. Comput. Vis. 127(2): 181-206 (2019) - [j29]Zhicheng Wu, Huafeng Liu, Yanyan Xu, Liping Jing:
Collaboration Matrix Factorization on Rate and Review for Recommendation. J. Database Manag. 30(2): 27-43 (2019) - [j28]Zixin Cai, Xinyue Wang, Jian Xu, Liping Jing:
样本自适应的不平衡分类器 (Sample Adaptive Classifier for Imbalanced Data). 计算机科学 46(1): 94-99 (2019) - [j27]Dong Deng, Liping Jing, Jian Yu, Shaolong Sun, Michael K. Ng:
Sentiment Lexicon Construction With Hierarchical Supervision Topic Model. IEEE ACM Trans. Audio Speech Lang. Process. 27(4): 704-718 (2019) - [j26]Dong Deng, Liping Jing, Jian Yu, Shaolong Sun:
Sparse Self-Attention LSTM for Sentiment Lexicon Construction. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1777-1790 (2019) - [j25]MiaoMiao Cheng, Liping Jing, Michael K. Ng:
Tensor-Based Low-Dimensional Representation Learning for Multi-View Clustering. IEEE Trans. Image Process. 28(5): 2399-2414 (2019) - [j24]Huafeng Liu, Liping Jing, Yuhua Qian, Jian Yu:
Adaptive Local Low-rank Matrix Approximation for Recommendation. ACM Trans. Inf. Syst. 37(4): 45:1-45:34 (2019) - 2017
- [j23]Liu Yang, Liping Jing, Bo Liu, Jian Yu:
Common latent space identification for heterogeneous co-transfer clustering. Neurocomputing 269: 29-39 (2017) - [j22]Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, Michael K. Ng:
Multi-Label Classification by Semi-Supervised Singular Value Decomposition. IEEE Trans. Image Process. 26(10): 4612-4625 (2017) - [j21]Liping Jing, Bo Liu, Jaeyoung Choi, Adam Janin, Julia Bernd, Michael W. Mahoney, Gerald Friedland:
DCAR: A Discriminative and Compact Audio Representation for Audio Processing. IEEE Trans. Multim. 19(12): 2637-2650 (2017) - 2016
- [j20]Bo Liu, Liping Jing, Jian Yu, Jia Li:
Robust graph learning via constrained elastic-net regularization. Neurocomputing 171: 299-312 (2016) - [j19]Liu Yang, Liping Jing, Michael K. Ng, Jian Yu:
A discriminative and sparse topic model for image classification and annotation. Image Vis. Comput. 51: 22-35 (2016) - [j18]Liu Yang, Liping Jing, Jian Yu, Michael K. Ng:
Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2187-2200 (2016) - 2015
- [j17]Liping Jing, Kuang Tian, Joshua Zhexue Huang:
Stratified feature sampling method for ensemble clustering of high dimensional data. Pattern Recognit. 48(11): 3688-3702 (2015) - [j16]Liu Yang, Liping Jing, Michael K. Ng:
Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning. IEEE Trans. Image Process. 24(12): 4701-4714 (2015) - 2014
- [j15]Chao Zhang, Liping Jing, Naihua Xiu:
A New Active Set Method For Nonnegative Matrix Factorization. SIAM J. Sci. Comput. 36(6) (2014) - [j14]Liping Jing, Michael K. Ng:
Sparse Label-Indicator Optimization Methods for Image Classification. IEEE Trans. Image Process. 23(3): 1002-1014 (2014) - 2013
- [j13]Yan Zhu, Jian Yu, Liping Jing:
A novel semi-supervised learning framework with simultaneous text representing. Knowl. Inf. Syst. 34(3): 547-562 (2013) - [j12]Liping Jing, Michael K. Ng, Tieyong Zeng:
Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 24(8): 1188-1199 (2013) - 2012
- [j11]Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang:
A multi-layer text classification framework based on two-level representation model. Expert Syst. Appl. 39(2): 2035-2046 (2012) - [j10]Liping Jing, Chao Zhang, Michael K. Ng:
SNMFCA: Supervised NMF-Based Image Classification and Annotation. IEEE Trans. Image Process. 21(11): 4508-4521 (2012) - 2011
- [j9]Liping Jing, Michael K. Ng, Tieyong Zeng:
On gene Selection and Classification for Cancer microarray Data Using Multi-Step Clustering and Sparse Representation. Adv. Data Sci. Adapt. Anal. 3(1-2): 127-148 (2011) - 2010
- [j8]Liping Jing, Michael K. Ng:
Prior knowledge based mining functional modules from Yeast PPI networks with gene ontology. BMC Bioinform. 11(S-11): S3 (2010) - [j7]Liping Jing, Michael K. Ng, Joshua Zhexue Huang:
Knowledge-based vector space model for text clustering. Knowl. Inf. Syst. 25(1): 35-55 (2010) - [j6]Liping Jing, Michael K. Ng, Ying Liu:
Construction of gene networks with hybrid approach from expression profile and gene ontology. IEEE Trans. Inf. Technol. Biomed. 14(1): 107-118 (2010) - 2009
- [j5]Kevin Y. Yip, Lin Cheung, David W. Cheung, Liping Jing, Michael K. Ng:
A semi-supervised approach to projected clustering with applications to microarray data. Int. J. Data Min. Bioinform. 3(3): 229-259 (2009) - [j4]Liping Jing, Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang:
SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters. Int. J. Data Min. Model. Manag. 1(2): 149-177 (2009) - [j3]Michael K. Ng, Liping Jing:
A new fuzzy k-modes clustering algorithm for categorical data. Int. J. Granul. Comput. Rough Sets Intell. Syst. 1(1): 105-119 (2009) - 2008
- [j2]Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K. Ng, Jiali Xia Jiangxi, Xiaohua Zhou:
Medical Document Clustering Using Ontology-Based Term Similarity Measures. Int. J. Data Warehous. Min. 4(1): 62-73 (2008) - 2007
- [j1]Liping Jing, Michael K. Ng, Joshua Zhexue Huang:
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data. IEEE Trans. Knowl. Data Eng. 19(8): 1026-1041 (2007)
Conference and Workshop Papers
- 2024
- [c89]Mingyang Song, Liping Jing, Yi Feng:
Match More, Extract Better! Hybrid Matching Model for Open Domain Web Keyphrase Extraction. ACL (Findings) 2024: 17-27 - [c88]Zhekun Liu, Tao Huang, Rui Wang, Liping Jing:
Object Hallucination Detection in Large Vision Language Models via Evidential Conflict. BELIEF 2024: 58-67 - [c87]Chen Min, Dawei Zhao, Liang Xiao, Jian Zhao, Xinli Xu, Zheng Zhu, Lei Jin, Jianshu Li, Yulan Guo, Junliang Xing, Liping Jing, Yiming Nie, Bin Dai:
DriveWorld: 4D Pre-Trained Scene Understanding via World Models for Autonomous Driving. CVPR 2024: 15522-15533 - [c86]Zhengwei Fang, Rui Wang, Tao Huang, Liping Jing:
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning. CVPR 2024: 24841-24850 - [c85]Pengyu Xu, Mingyang Song, Ziyi Li, Sijin Lu, Liping Jing, Jian Yu:
Taming Prompt-Based Data Augmentation for Long-Tailed Extreme Multi-Label Text Classification. ICASSP 2024: 9981-9985 - [c84]Jiaqi Wang, Pichao Wang, Yi Feng, Huafeng Liu, Chang Gao, Liping Jing:
Align2Concept: Language Guided Interpretable Image Recognition by Visual Prototype and Textual Concept Alignment. ACM Multimedia 2024: 8972-8981 - [c83]Pengyu Xu, Mingyang Song, Linkaida Liu, Bing Liu, Hongjian Sun, Liping Jing, Jian Yu:
Noisy Multi-Label Text Classification via Instance-Label Pair Correction. NAACL-HLT (Findings) 2024: 1446-1458 - 2023
- [c82]Pengyu Xu, Lin Xiao, Bing Liu, Sijin Lu, Liping Jing, Jian Yu:
Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification. AAAI 2023: 10602-10610 - [c81]Mingyang Song, Huafeng Liu, Yi Feng, Liping Jing:
Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information. ACL (Findings) 2023: 1041-1048 - [c80]Mingyang Song, Haiyun Jiang, Lemao Liu, Shuming Shi, Liping Jing:
Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function. ACL (Findings) 2023: 2482-2494 - [c79]Jingxuan Wen, Huafeng Liu, Liping Jing:
Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation. CIKM 2023: 2706-2715 - [c78]Mingyang Song, Huafeng Liu, Liping Jing:
Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process. CIKM 2023: 4294-4299 - [c77]Mingyang Song, Yi Feng, Liping Jing:
A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models. EACL (Findings) 2023: 2108-2119 - [c76]Mingyang Song, Huafeng Liu, Liping Jing:
HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction. EMNLP 2023: 16070-16080 - [c75]Mingyang Song, Pengyu Xu, Yi Feng, Huafeng Liu, Liping Jing:
Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection. EMNLP 2023: 16349-16359 - [c74]Xiaomeng Li, Jiaqi Wang, Liping Jing:
Interpretable Image Recognition by Screening Class-Specific and Class-Shared Prototypes. ICANN (2) 2023: 397-408 - [c73]Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing:
Recognizable Information Bottleneck. IJCAI 2023: 4028-4036 - [c72]Xiaoyu Wang, Pengyu Xu, Mingyang Song, Liping Jing:
Bootstrap Decomposition Enhanced Orthogonal-Basis Projection Model for Long-term Time Series Forecasting. IJCNN 2023: 1-9 - [c71]Huafeng Liu, Mingjie Zhou, Liping Jing, Michael K. Ng:
Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process. ACM Multimedia 2023: 6212-6222 - [c70]Huafeng Liu, Liping Jing, Jian Yu:
Neural Processes with Stability. NeurIPS 2023 - [c69]Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing:
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation. NeurIPS 2023 - [c68]Xin Liu, Yilin Lyu, Liping Jing, Tieyong Zeng, Jian Yu:
Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning. ECML/PKDD (2) 2023: 421-437 - [c67]Xin Liu, Shijing Wang, Kairui Zhou, Yilin Lyu, Mingyang Song, Liping Jing, Tieyong Zeng, Jian Yu:
vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-Shot Learning. ECML/PKDD (2) 2023: 454-470 - [c66]Mingyang Song, Yi Feng, Liping Jing:
HISum: Hyperbolic Interaction Model for Extractive Multi-Document Summarization. WWW 2023: 1427-1436 - 2022
- [c65]Mingyang Song, Yi Feng, Liping Jing:
A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space. CIKM 2022: 4505-4509 - [c64]Mingyang Song, Yi Feng, Liping Jing:
Utilizing BERT Intermediate Layers for Unsupervised Keyphrase Extraction. ICNLSP 2022: 277-281 - [c63]Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu:
Learning Target-aware Representation for Visual Tracking via Informative Interactions. IJCAI 2022: 927-934 - [c62]Huafeng Liu, Liping Jing, Dahai Yu, Mingjie Zhou, Michael Ng:
Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes. ACM Multimedia 2022: 491-500 - [c61]Mingyang Song, Yi Feng, Liping Jing:
Hyperbolic Relevance Matching for Neural Keyphrase Extraction. NAACL-HLT 2022: 5710-5720 - [c60]Huafeng Liu, Liping Jing:
Amortized Mixing Coupling Processes for Clustering. NeurIPS 2022 - [c59]Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing:
Divert More Attention to Vision-Language Tracking. NeurIPS 2022 - 2021
- [c58]Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song:
Does Head Label Help for Long-Tailed Multi-Label Text Classification. AAAI 2021: 14103-14111 - [c57]Xuetao Tian, Liping Jing, Lu He, Feng Liu:
StereoRel: Relational Triple Extraction from a Stereoscopic Perspective. ACL/IJCNLP (1) 2021: 4851-4861 - [c56]Mingyang Song, Liping Jing, Yi Feng, Zhiwei Sun, Lin Xiao:
Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector. ACML 2021: 1739-1754 - [c55]Huafeng Liu, Jiaqi Wang, Liping Jing:
Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering. CVPR 2021: 15109-15118 - [c54]Mingyang Song, Liping Jing, Lin Xiao:
Importance Estimation from Multiple Perspectives for Keyphrase Extraction. EMNLP (1) 2021: 2726-2736 - [c53]Jiaqi Wang, Huafeng Liu, Xinyue Wang, Liping Jing:
Interpretable Image Recognition by Constructing Transparent Embedding Space. ICCV 2021: 875-884 - [c52]Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing:
Probing BERT in Hyperbolic Spaces. ICLR 2021 - [c51]Qihang Shen, Xinyue Wang, Zixin Cai, Liping Jing:
Adversarial Imbalance Classification with Class-Specific Diverse Instance Generation. IJCNN 2021: 1-8 - 2020
- [c50]Boli Chen, Xin Huang, Lin Xiao, Zixin Cai, Liping Jing:
Hyperbolic Interaction Model for Hierarchical Multi-Label Classification. AAAI 2020: 7496-7503 - [c49]Boli Chen, Xin Huang, Lin Xiao, Liping Jing:
Hyperbolic Capsule Networks for Multi-Label Classification. ACL 2020: 3115-3124 - [c48]Xinyue Wang, Yilin Lyu, Liping Jing:
Deep Generative Model for Robust Imbalance Classification. CVPR 2020: 14112-14121 - [c47]Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou:
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. ECCV (24) 2020: 68-84 - [c46]Dong Chen, Miaomiao Cheng, Chen Min, Liping Jing:
Unsupervised Deep Imputed Hashing for Partial Cross-modal Retrieval. IJCNN 2020: 1-8 - [c45]Xiaoyi Sun, Huafeng Liu, Liping Jing, Jian Yu:
Deep Generative Recommendation with Maximizing Reciprocal Rank. KSEM (2) 2020: 123-130 - [c44]Huafeng Liu, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang, Lin Xiao, Jian Yu:
Deep Global and Local Generative Model for Recommendation. WWW 2020: 551-561 - 2019
- [c43]Xiukun Sun, Miaomiao Cheng, Chen Min, Liping Jing:
Self-Supervised Deep Multi-View Subspace Clustering. ACML 2019: 1001-1016 - [c42]Miaomiao Cheng, Liping Jing, Michael Kwok-Po Ng:
A Weighted Tensor Factorization Method for Low-Rank Tensor Completion. BigMM 2019: 30-38 - [c41]Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang:
In2Rec: Influence-based Interpretable Recommendation. CIKM 2019: 1803-1812 - [c40]Lin Xiao, Xin Huang, Boli Chen, Liping Jing:
Label-Specific Document Representation for Multi-Label Text Classification. EMNLP/IJCNLP (1) 2019: 466-475 - [c39]Zixin Cai, Xinyue Wang, Mingjie Zhou, Jian Xu, Liping Jing:
Supervised Class Distribution Learning for GANs-Based Imbalanced Classification. ICDM 2019: 41-50 - [c38]Jiaming Huang, Chen Min, Liping Jing:
Unsupervised Deep Fusion Cross-modal Hashing. ICMI 2019: 358-366 - [c37]Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du:
Heterogeneous Transfer Clustering for Partial Co-occurrence Data. ICTAI 2019: 1042-1049 - [c36]Jian Xu, Xinyue Wang, Zixin Cai, Liu Yang, Liping Jing:
Informative Instance Detection for Active Learning on Imbalanced Data. IJCNN 2019: 1-7 - [c35]Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu:
Deep generative ranking for personalized recommendation. RecSys 2019: 34-42 - 2018
- [c34]Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing:
Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement. AAAI 2018: 8177-8178 - [c33]Chen Min, MiaoMiao Cheng, Jian Yu, Liping Jing:
Partial Multi-view Clustering via Auto-Weighting Similarity Completion. CCBR 2018: 214-222 - [c32]Jinbiao Yu, Liping Jing:
A Joint Multi-Task CNN for Cross-Age Face Recognition. ICIP 2018: 2411-2415 - [c31]Xingxing Li, Liping Jing, Huafeng Liu:
Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation. PRCV (3) 2018: 328-339 - [c30]Dong Deng, Liping Jing, Jian Yu, Shaolong Sun, Haofei Zhou:
Neural gaussian mixture model for review-based rating prediction. RecSys 2018: 113-121 - 2017
- [c29]Xixi Du, Huafeng Liu, Liping Jing:
Additive Co-Clustering with Social Influence for Recommendation. RecSys 2017: 193-200 - 2016
- [c28]Liping Jing, Bo Liu, Jaeyoung Choi, Adam Janin, Julia Bernd, Michael W. Mahoney, Gerald Friedland:
A Discriminative and Compact Audio Representation for Event Detection. ACM Multimedia 2016: 57-61 - [c27]Huafeng Liu, Liping Jing, MiaoMiao Cheng:
An Efficient Parallel Trust-Based Recommendation Method on Multicores. HPGDMP@SC 2016: 9-16 - 2015
- [c26]Liping Jing, Liu Yang, Jian Yu, Michael K. Ng:
Semi-supervised low-rank mapping learning for multi-label classification. CVPR 2015: 1483-1491 - [c25]Liping Jing, Peng Wang, Liu Yang:
Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering. IJCAI 2015: 1771-1777 - [c24]Liu Yang, Liping Jing, Jian Yu:
Common Latent Space Identification for Heterogeneous Co-transfer Clustering. IScIDE (2) 2015: 395-406 - 2014
- [c23]Liping Jing, Dong Deng, Jian Yu:
Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix. KSEM 2014: 115-126 - [c22]Bo Liu, Liping Jing, Jian Yu, Jia Li:
Constrained Least Squares Regression for Semi-Supervised Learning. PAKDD (2) 2014: 110-121 - [c21]Liu Yang, Liping Jing, Jian Yu:
Heterogeneous Co-transfer Spectral Clustering. RSKT 2014: 352-363 - 2013
- [c20]Chenyang Shen, Liping Jing, Michael K. Ng:
Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm. EMMCVPR 2013: 294-306 - [c19]Qian Li, Liping Jing, Jian Yu:
Adaptive Graph Constrained NMF for Semi-Supervised Learning. PSL 2013: 36-48 - [c18]Geng Tian, Liping Jing:
Recommending scientific articles using bi-relational graph-based iterative RWR. RecSys 2013: 399-402 - 2012
- [c17]Liping Jing, Jian Yu, Tieyong Zeng, Yan Zhu:
Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization. Brain Informatics 2012: 309-319 - 2011
- [c16]Kuang Tian, Liping Jing, Ninglin Du:
Sparse representation-based gene selection for cancer prediction. BMEI 2011: 1789-1793 - [c15]Yan Zhu, Liping Jing, Jian Yu:
Text Clustering via Constrained Nonnegative Matrix Factorization. ICDM 2011: 1278-1283 - [c14]Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang:
Unsupervised Feature Weighting Based on Local Feature Relatedness. PAKDD (1) 2011: 38-49 - [c13]Liping Jing, Jiali Yun, Jian Yu, Joshua Zhexue Huang:
High-Order Co-clustering Text Data on Semantics-Based Representation Model. PAKDD (1) 2011: 171-182 - [c12]Liping Jing, Jian Yu:
Text Clustering Based on Granular Computing and Wikipedia. RSKT 2011: 679-688 - [c11]Jian Yu, Liping Jing:
Least Absolute Deviation Cut. RSKT 2011: 743-752 - 2010
- [c10]Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang:
Semantics-Based Representation Model for Multi-layer Text Classification. KES (2) 2010: 1-10 - [c9]Liping Jing, Jiali Yun, Jian Yu, Houkuan Huang:
Text Clustering via Term Semantic Units. Web Intelligence 2010: 417-420 - 2009
- [c8]Yan Zhu, Liping Jing, Jian Yu:
New Labeling Strategy for Semi-supervised Document Categorization. KSEM 2009: 134-145 - [c7]Liping Jing, Raymond Y. K. Lau:
Granular Computing for Text Mining: New Research Challenges and Opportunities. RSFDGrC 2009: 478-485 - 2008
- [c6]Ying Liu, Wenyuan Li, Yongjing Lin, Liping Jing:
Spectral geometry for simultaneously clustering and ranking query search results. SIGIR 2008: 539-546 - 2007
- [c5]Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K. Ng, Xiaohua Zhou:
A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering. DASFAA 2007: 115-126 - 2006
- [c4]Xingjun Zhang, Joshua Zhexue Huang, Depei Qian, Jun Xu, Liping Jing:
Supplier Categorization with K-Means Type Subspace Clustering. APWeb 2006: 226-237 - 2005
- [c3]Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang:
Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm. PAKDD 2005: 802-812 - [c2]Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang:
On the Performance of Feature Weighting K-Means for Text Subspace Clustering. WAIM 2005: 502-512 - 2004
- [c1]Liping Jing, Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong:
A Feature Weighting Approach to Building Classification Models by Interactive Clustering. MDAI 2004: 284-294
Parts in Books or Collections
- 2010
- [p1]Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K. Ng, Jiali Xia, Xiaohua Zhou:
Medical Document Clustering Using Ontology-Based Term Similarity Measures. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies 2010: 121-132
Reference Works
- 2009
- [r1]Liping Jing, Michael K. Ng, Joshua Zhexue Huang:
Soft Subspace Clustering for High-Dimensional Data. Encyclopedia of Data Warehousing and Mining 2009: 1810-1814
Informal and Other Publications
- 2024
- [i28]Sijin Lu, Pengyu Xu, Bing Liu, Hongjian Sun, Liping Jing, Jian Yu:
Retrieval Augmented Cross-Modal Tag Recommendation in Software Q&A Sites. CoRR abs/2402.03635 (2024) - [i27]Yu Chen, Liyan Ma, Liping Jing, Jian Yu:
BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection. CoRR abs/2403.02637 (2024) - [i26]Chen Min, Dawei Zhao, Liang Xiao, Jian Zhao, Xinli Xu, Zheng Zhu, Lei Jin, Jianshu Li, Yulan Guo, Junliang Xing, Liping Jing, Yiming Nie, Bin Dai:
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving. CoRR abs/2405.04390 (2024) - [i25]Mingyang Song, Yi Feng, Liping Jing:
A Preliminary Empirical Study on Prompt-based Unsupervised Keyphrase Extraction. CoRR abs/2405.16571 (2024) - [i24]Yi Feng, Mingyang Song, Jiaqi Wang, Mao Zheng, Liping Jing, Jian Yu:
SS-Bench: A Benchmark for Social Story Generation and Evaluation. CoRR abs/2406.15695 (2024) - [i23]Mingzhe Guo, Zhipeng Zhang, Yuan He, Ke Wang, Liping Jing:
End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation. CoRR abs/2406.17680 (2024) - [i22]Mingzhe Guo, Zhipeng Zhang, Liping Jing, Yuan He, Ke Wang, Heng Fan:
Cyclic Refiner: Object-Aware Temporal Representation Learning for Multi-View 3D Detection and Tracking. CoRR abs/2407.03240 (2024) - [i21]Chang Gao, Jianfei Chen, Kang Zhao, Jiaqi Wang, Liping Jing:
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bit. CoRR abs/2408.14267 (2024) - 2023
- [i20]Mingyang Song, Haiyun Jiang, Shuming Shi, Songfang Yao, Shilong Lu, Yi Feng, Huafeng Liu, Liping Jing:
Is ChatGPT A Good Keyphrase Generator? A Preliminary Study. CoRR abs/2303.13001 (2023) - [i19]Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing:
Recognizable Information Bottleneck. CoRR abs/2304.14618 (2023) - [i18]Mingzhe Guo, Zhipeng Zhang, Liping Jing, Haibin Ling, Heng Fan:
Divert More Attention to Vision-Language Object Tracking. CoRR abs/2307.10046 (2023) - [i17]Bing Liu, Pengyu Xu, Sijin Lu, Shijing Wang, Hongjian Sun, Liping Jing:
Sequential Tag Recommendation. CoRR abs/2310.05423 (2023) - [i16]Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing:
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation. CoRR abs/2310.08855 (2023) - [i15]Mingyang Song, Xuelian Geng, Songfang Yao, Shilong Lu, Yi Feng, Liping Jing:
Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study. CoRR abs/2312.15156 (2023) - 2022
- [i14]Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu:
Learning Target-aware Representation for Visual Tracking via Informative Interactions. CoRR abs/2201.02526 (2022) - [i13]Mingyang Song, Yi Feng, Liping Jing:
Hyperbolic Relevance Matching for Neural Keyphrase Extraction. CoRR abs/2205.02047 (2022) - [i12]Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing:
Divert More Attention to Vision-Language Tracking. CoRR abs/2207.01076 (2022) - [i11]Zhengwei Fang, Rui Wang, Tao Huang, Liping Jing:
Approximate better, Attack stronger: Adversarial Example Generation via Asymptotically Gaussian Mixture Distribution. CoRR abs/2209.11964 (2022) - [i10]Lin Xiao, Pengyu Xu, Liping Jing, Xiangliang Zhang:
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification. CoRR abs/2211.10685 (2022) - 2021
- [i9]Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song:
Does Head Label Help for Long-Tailed Multi-Label Text Classification. CoRR abs/2101.09704 (2021) - [i8]Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing:
Probing BERT in Hyperbolic Spaces. CoRR abs/2104.03869 (2021) - [i7]Mingyang Song, Liping Jing, Lin Xiao:
Importance Estimation from Multiple Perspectives for Keyphrase Extraction. CoRR abs/2110.09749 (2021) - 2020
- [i6]Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou:
Cross-Task Transfer for Multimodal Aerial Scene Recognition. CoRR abs/2005.08449 (2020) - 2019
- [i5]Xin Huang, Boli Chen, Lin Xiao, Liping Jing:
Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification. CoRR abs/1905.10070 (2019) - [i4]Boli Chen, Xin Huang, Lin Xiao, Zixin Cai, Liping Jing:
Hyperbolic Interaction Model For Hierarchical Multi-Label Classification. CoRR abs/1905.10802 (2019) - 2018
- [i3]Juanying Xie, Qi Hou, Yinghuan Shi, Lv Peng, Liping Jing, Fuzhen Zhuang, Junping Zhang, Xiaoyang Tang, Shengquan Xu:
The Automatic Identification of Butterfly Species. CoRR abs/1803.06626 (2018) - [i2]Shangxi Wu, Jitao Sang, Kaiyuan Xu, Jiaming Zhang, Yanfeng Sun, Liping Jing, Jian Yu:
Attention, Please! Adversarial Defense via Attention Rectification and Preservation. CoRR abs/1811.09831 (2018) - 2016
- [i1]Liping Jing, Bo Liu, Jaeyoung Choi, Adam Janin, Julia Bernd, Michael W. Mahoney, Gerald Friedland:
DCAR: A Discriminative and Compact Audio Representation to Improve Event Detection. CoRR abs/1607.04378 (2016)
Coauthor Index
[j56] [j54] [j52] [j51] [j50] [j48] [j47] [j43] [j41] [j40] [j39] [j37] [j35] [j34] [j30] [j27] [j26] [j24] [j23] [j22] [j20] [j19] [j18] [j13] [j11] [c85] [c83] [c82] [c70] [c68] [c67] [c45] [c44] [c41] [c35] [c33] [c30] [c26] [c24] [c23] [c22] [c21] [c19] [c17] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [i28] [i27] [i24] [i2]
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