GADNet: Improving image-text matching via graph-based aggregation and disentanglement - Xiao Pu; Zhiwen Wang; Lin Yuan; Yu Wu; Liping Jing; Xinbo Gao (Pattern Recognit., 2025)

Cyclic Refiner: Object-Aware Temporal Representation Learning for Multi-view 3D Detection and Tracking - Mingzhe Guo; Zhipeng Zhang; Liping Jing; Yuan He; Ke Wang; Heng Fan (Int. J. Comput. Vis., 2024)

Deep fair clustering with multi-level decorrelation - Xiang Wang; Liping Jing; Huafeng Liu; Jian Yu; Weifeng Geng; Gencheng Ye (Inf. Sci., 2024)

MiC: Image-text Matching in Circles with cross-modal generative knowledge enhancement - Xiao Pu; Yuwen Chen; Lin Yuan; Yan Zhang; Hongbo Li; Liping Jing; Xinbo Gao (Knowl. Based Syst., 2024)

Divert More Attention to Vision-Language Object Tracking - Mingzhe Guo; Zhipeng Zhang; Liping Jing; Haibin Ling; Heng Fan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection - Yu Chen; Liyan Ma; Liping Jing; Jian Yu (Pattern Recognit., 2024)

Transparent Embedding Space for Interpretable Image Recognition - Jiaqi Wang; Huafeng Liu; Liping Jing (IEEE Trans. Circuits Syst. Video Technol., 2024)

Structure-Driven Representation Learning for Deep Clustering - Xiang Wang; Liping Jing; Huafeng Liu; Jian Yu (ACM Trans. Knowl. Discov. Data, 2024)

Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes - Huafeng Liu; Liping Jing; Jian Yu; Michael K. Ng (IEEE Trans. Knowl. Data Eng., 2024)

Match More, Extract Better! Hybrid Matching Model for Open Domain Web Keyphrase Extraction - Mingyang Song; Liping Jing; Yi Feng (Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, 2024)

Object Hallucination Detection in Large Vision Language Models via Evidential Conflict - Zhekun Liu; Tao Huang; Rui Wang; Liping Jing (Belief Functions: Theory and Applications - 8th International Conference, BELIEF 2024, Belfast, UK, September 2-4, 2024, Proceedings, 2024)

DriveWorld: 4D Pre-Trained Scene Understanding via World Models for Autonomous Driving - Chen Min; Dawei Zhao; Liang Xiao; Jian Zhao; Xinli Xu; Zheng Zhu; Lei Jin; Jianshu Li; Yulan Guo; Junliang Xing; Liping Jing; Yiming Nie; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning - Zhengwei Fang; Rui Wang; Tao Huang; Liping Jing (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework - Pengyu Xu; Liping Jing; Jian Yu (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

Taming Prompt-Based Data Augmentation for Long-Tailed Extreme Multi-Label Text Classification - Pengyu Xu; Mingyang Song; Ziyi Li; Sijin Lu; Liping Jing; Jian Yu (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

Align2Concept: Language Guided Interpretable Image Recognition by Visual Prototype and Textual Concept Alignment - Jiaqi Wang; Pichao Wang; Yi Feng; Huafeng Liu; Chang Gao; Liping Jing (Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024, 2024)

Noisy Multi-Label Text Classification via Instance-Label Pair Correction - Pengyu Xu; Mingyang Song; Linkaida Liu; Bing Liu; Hongjian Sun; Liping Jing; Jian Yu (Findings of the Association for Computational Linguistics: NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

Retrieval Augmented Cross-Modal Tag Recommendation in Software Q&A Sites - Sijin Lu; Pengyu Xu; Bing Liu; Hongjian Sun; Liping Jing; Jian Yu (CoRR, 2024)

BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection - Yu Chen; Liyan Ma; Liping Jing; Jian Yu (CoRR, 2024)

DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving - Chen Min; Dawei Zhao; Liang Xiao; Jian Zhao; Xinli Xu; Zheng Zhu; Lei Jin; Jianshu Li; Yulan Guo; Junliang Xing; Liping Jing; Yiming Nie; et al. (CoRR, 2024)

A Preliminary Empirical Study on Prompt-based Unsupervised Keyphrase Extraction - Mingyang Song; Yi Feng; Liping Jing (CoRR, 2024)

SS-Bench: A Benchmark for Social Story Generation and Evaluation - Yi Feng; Mingyang Song; Jiaqi Wang; Mao Zheng; Liping Jing; Jian Yu (CoRR, 2024)

End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation - Mingzhe Guo; Zhipeng Zhang; Yuan He; Ke Wang; Liping Jing (CoRR, 2024)

Cyclic Refiner: Object-Aware Temporal Representation Learning for Multi-View 3D Detection and Tracking - Mingzhe Guo; Zhipeng Zhang; Liping Jing; Yuan He; Ke Wang; Heng Fan (CoRR, 2024)

1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bit - Chang Gao; Jianfei Chen; Kang Zhao; Jiaqi Wang; Liping Jing (CoRR, 2024)

Beyond 2:4: exploring V:N:M sparsity for efficient transformer inference on GPUs - Kang Zhao; Tao Yuan; Han Bao; Zhenfeng Su; Chang Gao; Zhaofeng Sun; Zichen Liang; Liping Jing; Jianfei Chen (CoRR, 2024)

Siamese transformer with hierarchical concept embedding for fine-grained image recognition - Yilin Lyu; Liping Jing; Jiaqi Wang; Mingzhe Guo; Xinyue Wang; Jian Yu (Sci. China Inf. Sci., 2023)

Learning to extract from multiple perspectives for neural keyphrase extraction - Mingyang Song; Lin Xiao; Liping Jing (Comput. Speech Lang., 2023)

Textual tag recommendation with multi-tag topical attention - Pengyu Xu; Mingxuan Xia; Lin Xiao; Huafeng Liu; Bing Liu; Liping Jing; Jian Yu (Neurocomputing, 2023)

Deep Generative Mixture Model for Robust Imbalance Classification - Xinyue Wang; Liping Jing; Yilin Lyu; Mingzhe Guo; Jiaqi Wang; Huafeng Liu; Jian Yu; Tieyong Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Shyness Trait Recognition for Schoolchildren via Multi-View Features of Online Writing - Xuetao Tian; Liping Jing; Fang Luo; Sheng Zhang (IEEE Trans. Affect. Comput., 2023)

Triple Alliance Prototype Orthotist Network for Long-Tailed Multi-Label Text Classification - Lin Xiao; Pengyu Xu; Mingyang Song; Huafeng Liu; Liping Jing; Xiangliang Zhang (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification - Pengyu Xu; Lin Xiao; Bing Liu; Sijin Lu; Liping Jing; Jian Yu (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information - Mingyang Song; Huafeng Liu; Yi Feng; Liping Jing (Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function - Mingyang Song; Haiyun Jiang; Lemao Liu; Shuming Shi; Liping Jing (Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation - Jingxuan Wen; Huafeng Liu; Liping Jing (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process - Mingyang Song; Huafeng Liu; Liping Jing (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models - Mingyang Song; Yi Feng; Liping Jing (Findings of the Association for Computational Linguistics: EACL 2023, Dubrovnik, Croatia, May 2-6, 2023, 2023)

HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction - Mingyang Song; Huafeng Liu; Liping Jing (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection - Mingyang Song; Pengyu Xu; Yi Feng; Huafeng Liu; Liping Jing (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Interpretable Image Recognition by Screening Class-Specific and Class-Shared Prototypes - Xiaomeng Li; Jiaqi Wang; Liping Jing (Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part II, 2023)

Recognizable Information Bottleneck - Yilin Lyu; Xin Liu; Mingyang Song; Xinyue Wang; Yaxin Peng; Tieyong Zeng; Liping Jing (Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, 2023)

Bootstrap Decomposition Enhanced Orthogonal-Basis Projection Model for Long-term Time Series Forecasting - Xiaoyu Wang; Pengyu Xu; Mingyang Song; Liping Jing (International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023, 2023)

Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process - Huafeng Liu; Mingjie Zhou; Liping Jing; Michael K. Ng (Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 2023)

Neural Processes with Stability - Huafeng Liu; Liping Jing; Jian Yu (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation - Yilin Lyu; Liyuan Wang; Xingxing Zhang; Zicheng Sun; Hang Su; Jun Zhu; Liping Jing (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning - Xin Liu; Yilin Lyu; Liping Jing; Tieyong Zeng; Jian Yu (Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II, 2023)

vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-Shot Learning - Xin Liu; Shijing Wang; Kairui Zhou; Yilin Lyu; Mingyang Song; Liping Jing; Tieyong Zeng; Jian Yu (Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II, 2023)

HISum: Hyperbolic Interaction Model for Extractive Multi-Document Summarization - Mingyang Song; Yi Feng; Liping Jing (Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, 2023)

Is ChatGPT A Good Keyphrase Generator? A Preliminary Study - Mingyang Song; Haiyun Jiang; Shuming Shi; Songfang Yao; Shilong Lu; Yi Feng; Huafeng Liu; Liping Jing (CoRR, 2023)

Recognizable Information Bottleneck - Yilin Lyu; Xin Liu; Mingyang Song; Xinyue Wang; Yaxin Peng; Tieyong Zeng; Liping Jing (CoRR, 2023)

Divert More Attention to Vision-Language Object Tracking - Mingzhe Guo; Zhipeng Zhang; Liping Jing; Haibin Ling; Heng Fan (CoRR, 2023)

Sequential Tag Recommendation - Bing Liu; Pengyu Xu; Sijin Lu; Shijing Wang; Hongjian Sun; Liping Jing (CoRR, 2023)

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation - Yilin Lyu; Liyuan Wang; Xingxing Zhang; Zicheng Sun; Hang Su; Jun Zhu; Liping Jing (CoRR, 2023)

Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study - Mingyang Song; Xuelian Geng; Songfang Yao; Shilong Lu; Yi Feng; Liping Jing (CoRR, 2023)

Inference during reading: multi-label classification for text with continuous semantic units - Xuetao Tian; Liping Jing; Fang Luo; Feng Liu (Appl. Intell., 2022)

Leveraging implicit social structures for recommendation via a Bayesian generative model - Huafeng Liu; Jingxuan Wen; Liping Jing; Jian Yu (Sci. China Inf. Sci., 2022)

Semantic guide for semi-supervised few-shot multi-label node classification - Lin Xiao; Pengyu Xu; Liping Jing; Uchenna Akujuobi; Xiangliang Zhang (Inf. Sci., 2022)

Adaptive distribution calibration for few-shot learning via optimal transport - Xin Liu; Kairui Zhou; Pengbo Yang; Liping Jing; Jian Yu (Inf. Sci., 2022)

Label-Aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification - Xin Huang; Boli Chen; Lin Xiao; Jian Yu; Liping Jing (Neural Process. Lett., 2022)

Bayesian Additive Matrix Approximation for Social Recommendation - Huafeng Liu; Liping Jing; Jingxuan Wen; Pengyu Xu; Jian Yu; Michael K. Ng (ACM Trans. Knowl. Discov. Data, 2022)

A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space - Mingyang Song; Yi Feng; Liping Jing (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

Utilizing BERT Intermediate Layers for Unsupervised Keyphrase Extraction - Mingyang Song; Yi Feng; Liping Jing (5th International Conference on Natural Language and Speech Processing, ICNLSP 2022, Trento, Italy, December 16-17, 2022, 2022)

Learning Target-aware Representation for Visual Tracking via Informative Interactions - Mingzhe Guo; Zhipeng Zhang; Heng Fan; Liping Jing; Yilin Lyu; Bing Li; Weiming Hu (Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, 2022)

Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes - Huafeng Liu; Liping Jing; Dahai Yu; Mingjie Zhou; Michael Ng (MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022, 2022)

Hyperbolic Relevance Matching for Neural Keyphrase Extraction - Mingyang Song; Yi Feng; Liping Jing (Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022, 2022)

Amortized Mixing Coupling Processes for Clustering - Huafeng Liu; Liping Jing (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Divert More Attention to Vision-Language Tracking - Mingzhe Guo; Zhipeng Zhang; Heng Fan; Liping Jing (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Learning Target-aware Representation for Visual Tracking via Informative Interactions - Mingzhe Guo; Zhipeng Zhang; Heng Fan; Liping Jing; Yilin Lyu; Bing Li; Weiming Hu (CoRR, 2022)

Hyperbolic Relevance Matching for Neural Keyphrase Extraction - Mingyang Song; Yi Feng; Liping Jing (CoRR, 2022)

Divert More Attention to Vision-Language Tracking - Mingzhe Guo; Zhipeng Zhang; Heng Fan; Liping Jing (CoRR, 2022)

Approximate better, Attack stronger: Adversarial Example Generation via Asymptotically Gaussian Mixture Distribution - Zhengwei Fang; Rui Wang; Tao Huang; Liping Jing (CoRR, 2022)

Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification - Lin Xiao; Pengyu Xu; Liping Jing; Xiangliang Zhang (CoRR, 2022)

Local distribution-based adaptive minority oversampling for imbalanced data classification - Xinyue Wang; Jian Xu; Tieyong Zeng; Liping Jing (Neurocomputing, 2021)

Interpretable Deep Generative Recommendation Models - Huafeng Liu; Liping Jing; Jingxuan Wen; Pengyu Xu; Jiaqi Wang; Jian Yu; Michael K. Ng (J. Mach. Learn. Res., 2021)

Smooth Soft-Balance Discriminative Analysis for imbalanced data - Xinyue Wang; Liping Jing; Yilin Lyu; Mingzhe Guo; Tieyong Zeng (Knowl. Based Syst., 2021)

Social Recommendation With Learning Personal and Social Latent Factors - Huafeng Liu; Liping Jing; Jian Yu; Michael K. Ng (IEEE Trans. Knowl. Data Eng., 2021)

Does Head Label Help for Long-Tailed Multi-Label Text Classification - Lin Xiao; Xiangliang Zhang; Liping Jing; Chi Huang; Mingyang Song (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

StereoRel: Relational Triple Extraction from a Stereoscopic Perspective - Xuetao Tian; Liping Jing; Lu He; Feng Liu (Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021 (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, 2021)

Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector - Mingyang Song; Liping Jing; Yi Feng; Zhiwei Sun; Lin Xiao (Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event, 2021)

Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering - Huafeng Liu; Jiaqi Wang; Liping Jing (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Importance Estimation from Multiple Perspectives for Keyphrase Extraction - Mingyang Song; Liping Jing; Lin Xiao (Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, 2021)

Interpretable Image Recognition by Constructing Transparent Embedding Space - Jiaqi Wang; Huafeng Liu; Xinyue Wang; Liping Jing (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Probing BERT in Hyperbolic Spaces - Boli Chen; Yao Fu; Guangwei Xu; Pengjun Xie; Chuanqi Tan; Mosha Chen; Liping Jing (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Adversarial Imbalance Classification with Class-Specific Diverse Instance Generation - Qihang Shen; Xinyue Wang; Zixin Cai; Liping Jing (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

Does Head Label Help for Long-Tailed Multi-Label Text Classification - Lin Xiao; Xiangliang Zhang; Liping Jing; Chi Huang; Mingyang Song (CoRR, 2021)

Probing BERT in Hyperbolic Spaces - Boli Chen; Yao Fu; Guangwei Xu; Pengjun Xie; Chuanqi Tan; Mosha Chen; Liping Jing (CoRR, 2021)

Importance Estimation from Multiple Perspectives for Keyphrase Extraction - Mingyang Song; Liping Jing; Lin Xiao (CoRR, 2021)

Important sampling based active learning for imbalance classification - Xinyue Wang; Bo Liu; Siyu Cao; Liping Jing; Jian Yu (Sci. China Inf. Sci., 2020)

Adaptive Sample-Level Graph Combination for Partial Multiview Clustering - Liu Yang; Chenyang Shen; Qinghua Hu; Liping Jing; Yingbo Li (IEEE Trans. Image Process., 2020)

Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval - Miaomiao Cheng; Liping Jing; Michael K. Ng (ACM Trans. Inf. Syst., 2020)

Hyperbolic Interaction Model for Hierarchical Multi-Label Classification - Boli Chen; Xin Huang; Lin Xiao; Zixin Cai; Liping Jing (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Hyperbolic Capsule Networks for Multi-Label Classification - Boli Chen; Xin Huang; Lin Xiao; Liping Jing (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, 2020)

Deep Generative Model for Robust Imbalance Classification - Xinyue Wang; Yilin Lyu; Liping Jing (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition - Di Hu; Xuhong Li; Lichao Mou; Pu Jin; Dong Chen; Liping Jing; Xiaoxiang Zhu; Dejing Dou (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIV, 2020)

Unsupervised Deep Imputed Hashing for Partial Cross-modal Retrieval - Dong Chen; Miaomiao Cheng; Chen Min; Liping Jing (2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, 2020)

Deep Generative Recommendation with Maximizing Reciprocal Rank - Xiaoyi Sun; Huafeng Liu; Liping Jing; Jian Yu (Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part II, 2020)

Deep Global and Local Generative Model for Recommendation - Huafeng Liu; Liping Jing; Jingxuan Wen; Zhicheng Wu; Xiaoyi Sun; Jiaqi Wang; Lin Xiao; Jian Yu (WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020)

Cross-Task Transfer for Multimodal Aerial Scene Recognition - Di Hu; Xuhong Li; Lichao Mou; Pu Jin; Dong Chen; Liping Jing; Xiaoxiang Zhu; Dejing Dou (CoRR, 2020)

Clustering ensemble based on sample's stability - Feijiang Li; Yuhua Qian; Jieting Wang; Chuangyin Dang; Liping Jing (Artif. Intell., 2019)

Group Collaborative Representation for Image Set Classification - Bo Liu; Liping Jing; Jia Li; Jian Yu; Alex Gittens; Michael W. Mahoney (Int. J. Comput. Vis., 2019)

Collaboration Matrix Factorization on Rate and Review for Recommendation - Zhicheng Wu; Huafeng Liu; Yanyan Xu; Liping Jing (J. Database Manag., 2019)

266792641233258368662421230340199812417934913209983186722120 (Sample Adaptive Classifier for Imbalanced Data) - Zixin Cai; Xinyue Wang; Jian Xu; Liping Jing (3574531639264263118523398, 2019)

Sentiment Lexicon Construction With Hierarchical Supervision Topic Model - Dong Deng; Liping Jing; Jian Yu; Shaolong Sun; Michael K. Ng (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Sparse Self-Attention LSTM for Sentiment Lexicon Construction - Dong Deng; Liping Jing; Jian Yu; Shaolong Sun (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Tensor-Based Low-Dimensional Representation Learning for Multi-View Clustering - MiaoMiao Cheng; Liping Jing; Michael K. Ng (IEEE Trans. Image Process., 2019)

Adaptive Local Low-rank Matrix Approximation for Recommendation - Huafeng Liu; Liping Jing; Yuhua Qian; Jian Yu (ACM Trans. Inf. Syst., 2019)

Self-Supervised Deep Multi-View Subspace Clustering - Xiukun Sun; Miaomiao Cheng; Chen Min; Liping Jing (Proceedings of The 11th Asian Conference on Machine Learning, ACML 2019, 17-19 November 2019, Nagoya, Japan, 2019)

A Weighted Tensor Factorization Method for Low-Rank Tensor Completion - Miaomiao Cheng; Liping Jing; Michael Kwok-Po Ng (Fifth IEEE International Conference on Multimedia Big Data, BigMM 2019, Singapore, September 11-13, 2019, 2019)

In2Rec: Influence-based Interpretable Recommendation - Huafeng Liu; Jingxuan Wen; Liping Jing; Jian Yu; Xiangliang Zhang; Min Zhang (Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019, 2019)

Label-Specific Document Representation for Multi-Label Text Classification - Lin Xiao; Xin Huang; Boli Chen; Liping Jing (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Supervised Class Distribution Learning for GANs-Based Imbalanced Classification - Zixin Cai; Xinyue Wang; Mingjie Zhou; Jian Xu; Liping Jing (2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019, 2019)

Unsupervised Deep Fusion Cross-modal Hashing - Jiaming Huang; Chen Min; Liping Jing (International Conference on Multimodal Interaction, ICMI 2019, Suzhou, China, October 14-18, 2019, 2019)

Heterogeneous Transfer Clustering for Partial Co-occurrence Data - Xiangyang Ye; Liu Yang; Qinghua Hu; Chenyang Shen; Liping Jing; Zhibin Du (31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019, Portland, OR, USA, November 4-6, 2019, 2019)

Informative Instance Detection for Active Learning on Imbalanced Data - Jian Xu; Xinyue Wang; Zixin Cai; Liu Yang; Liping Jing (International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, 2019)

Deep generative ranking for personalized recommendation - Huafeng Liu; Jingxuan Wen; Liping Jing; Jian Yu (Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019, 2019)

Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification - Xin Huang; Boli Chen; Lin Xiao; Liping Jing (CoRR, 2019)

Hyperbolic Interaction Model For Hierarchical Multi-Label Classification - Boli Chen; Xin Huang; Lin Xiao; Zixin Cai; Liping Jing (CoRR, 2019)

Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement - Guowen Yuan; Xiaojun Chen; Chen Wang; Feiping Nie; Liping Jing (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Partial Multi-view Clustering via Auto-Weighting Similarity Completion - Chen Min; MiaoMiao Cheng; Jian Yu; Liping Jing (Biometric Recognition - 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings, 2018)

A Joint Multi-Task CNN for Cross-Age Face Recognition - Jinbiao Yu; Liping Jing (2018 IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, October 7-10, 2018, 2018)

Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation - Xingxing Li; Liping Jing; Huafeng Liu (Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part III, 2018)

Neural gaussian mixture model for review-based rating prediction - Dong Deng; Liping Jing; Jian Yu; Shaolong Sun; Haofei Zhou (Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, Vancouver, BC, Canada, October 2-7, 2018, 2018)

The Automatic Identification of Butterfly Species - Juanying Xie; Qi Hou; Yinghuan Shi; Lv Peng; Liping Jing; Fuzhen Zhuang; Junping Zhang; Xiaoyang Tang; Shengquan Xu (CoRR, 2018)

Attention, Please! Adversarial Defense via Attention Rectification and Preservation - Shangxi Wu; Jitao Sang; Kaiyuan Xu; Jiaming Zhang; Yanfeng Sun; Liping Jing; Jian Yu (CoRR, 2018)

Common latent space identification for heterogeneous co-transfer clustering - Liu Yang; Liping Jing; Bo Liu; Jian Yu (Neurocomputing, 2017)

Multi-Label Classification by Semi-Supervised Singular Value Decomposition - Liping Jing; Chenyang Shen; Liu Yang; Jian Yu; Michael K. Ng (IEEE Trans. Image Process., 2017)

DCAR: A Discriminative and Compact Audio Representation for Audio Processing - Liping Jing; Bo Liu; Jaeyoung Choi; Adam Janin; Julia Bernd; Michael W. Mahoney; Gerald Friedland (IEEE Trans. Multim., 2017)

Additive Co-Clustering with Social Influence for Recommendation - Xixi Du; Huafeng Liu; Liping Jing (Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017, 2017)

Robust graph learning via constrained elastic-net regularization - Bo Liu; Liping Jing; Jian Yu; Jia Li (Neurocomputing, 2016)

A discriminative and sparse topic model for image classification and annotation - Liu Yang; Liping Jing; Michael K. Ng; Jian Yu (Image Vis. Comput., 2016)

Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning - Liu Yang; Liping Jing; Jian Yu; Michael K. Ng (IEEE Trans. Neural Networks Learn. Syst., 2016)

A Discriminative and Compact Audio Representation for Event Detection - Liping Jing; Bo Liu; Jaeyoung Choi; Adam Janin; Julia Bernd; Michael W. Mahoney; Gerald Friedland (Proceedings of the 2016 ACM Conference on Multimedia Conference, MM 2016, Amsterdam, The Netherlands, October 15-19, 2016, 2016)

An Efficient Parallel Trust-Based Recommendation Method on Multicores - Huafeng Liu; Liping Jing; MiaoMiao Cheng (2016 High Performance Graph Data Management and Processing Workshop, HPGDMP@SC 2016, Salt Lake City, UT, USA, November 13, 2016, 2016)

DCAR: A Discriminative and Compact Audio Representation to Improve Event Detection - Liping Jing; Bo Liu; Jaeyoung Choi; Adam Janin; Julia Bernd; Michael W. Mahoney; Gerald Friedland (CoRR, 2016)

Stratified feature sampling method for ensemble clustering of high dimensional data - Liping Jing; Kuang Tian; Joshua Zhexue Huang (Pattern Recognit., 2015)

Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning - Liu Yang; Liping Jing; Michael K. Ng (IEEE Trans. Image Process., 2015)

Semi-supervised low-rank mapping learning for multi-label classification - Liping Jing; Liu Yang; Jian Yu; Michael K. Ng (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015, 2015)

Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering - Liping Jing; Peng Wang; Liu Yang (Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015)

Common Latent Space Identification for Heterogeneous Co-transfer Clustering - Liu Yang; Liping Jing; Jian Yu (Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques - 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II, 2015)

A New Active Set Method For Nonnegative Matrix Factorization - Chao Zhang; Liping Jing; Naihua Xiu (SIAM J. Sci. Comput., 2014)

Sparse Label-Indicator Optimization Methods for Image Classification - Liping Jing; Michael K. Ng (IEEE Trans. Image Process., 2014)

Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix - Liping Jing; Dong Deng; Jian Yu (Knowledge Science, Engineering and Management - 7th International Conference, KSEM 2014, Sibiu, Romania, October 16-18, 2014. Proceedings, 2014)

Constrained Least Squares Regression for Semi-Supervised Learning - Bo Liu; Liping Jing; Jian Yu; Jia Li (Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II, 2014)

Heterogeneous Co-transfer Spectral Clustering - Liu Yang; Liping Jing; Jian Yu (Rough Sets and Knowledge Technology - 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings, 2014)

A novel semi-supervised learning framework with simultaneous text representing - Yan Zhu; Jian Yu; Liping Jing (Knowl. Inf. Syst., 2013)

Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering - Liping Jing; Michael K. Ng; Tieyong Zeng (IEEE Trans. Neural Networks Learn. Syst., 2013)

Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm - Chenyang Shen; Liping Jing; Michael K. Ng (Energy Minimization Methods in Computer Vision and Pattern Recognition - 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings, 2013)

Adaptive Graph Constrained NMF for Semi-Supervised Learning - Qian Li; Liping Jing; Jian Yu (Partially Supervised Learning - Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013 Revised Selected Papers, 2013)

Recommending scientific articles using bi-relational graph-based iterative RWR - Geng Tian; Liping Jing (Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013, 2013)

A multi-layer text classification framework based on two-level representation model - Jiali Yun; Liping Jing; Jian Yu; Houkuan Huang (Expert Syst. Appl., 2012)

SNMFCA: Supervised NMF-Based Image Classification and Annotation - Liping Jing; Chao Zhang; Michael K. Ng (IEEE Trans. Image Process., 2012)

Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization - Liping Jing; Jian Yu; Tieyong Zeng; Yan Zhu (Brain Informatics - International Conference, BI 2012, Macau, China, December 4-7, 2012. Proceedings, 2012)

On gene Selection and Classification for Cancer microarray Data Using Multi-Step Clustering and Sparse Representation - Liping Jing; Michael K. Ng; Tieyong Zeng (Adv. Data Sci. Adapt. Anal., 2011)

Sparse representation-based gene selection for cancer prediction - Kuang Tian; Liping Jing; Ninglin Du (4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, Shanghai, China, October 15-17, 2011, 2011)

Text Clustering via Constrained Nonnegative Matrix Factorization - Yan Zhu; Liping Jing; Jian Yu (11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011, 2011)

Unsupervised Feature Weighting Based on Local Feature Relatedness - Jiali Yun; Liping Jing; Jian Yu; Houkuan Huang (Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I, 2011)

High-Order Co-clustering Text Data on Semantics-Based Representation Model - Liping Jing; Jiali Yun; Jian Yu; Joshua Zhexue Huang (Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I, 2011)

Text Clustering Based on Granular Computing and Wikipedia - Liping Jing; Jian Yu (Rough Sets and Knowledge Technology - 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011. Proceedings, 2011)

Least Absolute Deviation Cut - Jian Yu; Liping Jing (Rough Sets and Knowledge Technology - 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011. Proceedings, 2011)

Prior knowledge based mining functional modules from Yeast PPI networks with gene ontology - Liping Jing; Michael K. Ng (BMC Bioinform., 2010)

Knowledge-based vector space model for text clustering - Liping Jing; Michael K. Ng; Joshua Zhexue Huang (Knowl. Inf. Syst., 2010)

Construction of gene networks with hybrid approach from expression profile and gene ontology - Liping Jing; Michael K. Ng; Ying Liu (IEEE Trans. Inf. Technol. Biomed., 2010)

Semantics-Based Representation Model for Multi-layer Text Classification - Jiali Yun; Liping Jing; Jian Yu; Houkuan Huang (Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part II, 2010)

Text Clustering via Term Semantic Units - Liping Jing; Jiali Yun; Jian Yu; Houkuan Huang (2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010, Toronto, Canada, August 31 - September 3, 2010, Main Conference Proceedings, 2010)

Medical Document Clustering Using Ontology-Based Term Similarity Measures - Xiaodan Zhang; Liping Jing; Xiaohua Hu; Michael K. Ng; Jiali Xia; Xiaohua Zhou (Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments, 2010)

A semi-supervised approach to projected clustering with applications to microarray data - Kevin Y. Yip; Lin Cheung; David W. Cheung; Liping Jing; Michael K. Ng (Int. J. Data Min. Bioinform., 2009)

SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters - Liping Jing; Mark Junjie Li; Michael K. Ng; Yiu-ming Cheung; Joshua Zhexue Huang (Int. J. Data Min. Model. Manag., 2009)

A new fuzzy k-modes clustering algorithm for categorical data - Michael K. Ng; Liping Jing (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2009)

New Labeling Strategy for Semi-supervised Document Categorization - Yan Zhu; Liping Jing; Jian Yu (Knowledge Science, Engineering and Management, Third International Conference, KSEM 2009, Vienna, Austria, November 25-27, 2009. Proceedings, 2009)

Granular Computing for Text Mining: New Research Challenges and Opportunities - Liping Jing; Raymond Y. K. Lau (Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 12th International Conference, RSFDGrC 2009, Delhi, India, December 15-18, 2009. Proceedings, 2009)

Soft Subspace Clustering for High-Dimensional Data - Liping Jing; Michael K. Ng; Joshua Zhexue Huang (Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009)

Medical Document Clustering Using Ontology-Based Term Similarity Measures - Xiaodan Zhang; Liping Jing; Xiaohua Hu; Michael K. Ng; Jiali Xia Jiangxi; Xiaohua Zhou (Int. J. Data Warehous. Min., 2008)

Spectral geometry for simultaneously clustering and ranking query search results - Ying Liu; Wenyuan Li; Yongjing Lin; Liping Jing (Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, Singapore, July 20-24, 2008, 2008)

An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data - Liping Jing; Michael K. Ng; Joshua Zhexue Huang (IEEE Trans. Knowl. Data Eng., 2007)

A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering - Xiaodan Zhang; Liping Jing; Xiaohua Hu; Michael K. Ng; Xiaohua Zhou (Advances in Databases: Concepts, Systems and Applications, 12th International Conference on Database Systems for Advanced Applications, DASFAA 2007, Bangkok, Thailand, April 9-12, 2007, Proceedings, 2007)

Supplier Categorization with K-Means Type Subspace Clustering - Xingjun Zhang; Joshua Zhexue Huang; Depei Qian; Jun Xu; Liping Jing (Frontiers of WWW Research and Development - APWeb 2006, 8th Asia-Pacific Web Conference, Harbin, China, January 16-18, 2006, Proceedings, 2006)

Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm - Liping Jing; Michael K. Ng; Jun Xu; Joshua Zhexue Huang (Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings, 2005)

On the Performance of Feature Weighting K-Means for Text Subspace Clustering - Liping Jing; Michael K. Ng; Jun Xu; Joshua Zhexue Huang (Advances in Web-Age Information Management, 6th International Conference, WAIM 2005, Hangzhou, China, October 11-13, 2005, Proceedings, 2005)

A Feature Weighting Approach to Building Classification Models by Interactive Clustering - Liping Jing; Joshua Zhexue Huang; Michael K. Ng; Hongqiang Rong (Modeling Decisions for Artificial Intelligence, First International Conference, MDAI 2004, Barcelona, Spain, August 2-4, 2004, Proceedings, 2004)