| 2026 | AAAI | Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling. | Jingren Hou, Hong Wang, Pengyu Xu, Chang Gao, Huafeng Liu, Liping Jing |
| 2026 | AAAI | MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization. | Hui Li, Huafeng Liu, Yiran Fu, Shuyang Lin, Baoxin Zhang, Deqiang Ouyang, Liping Jing, Jian Yu |
| 2026 | AAAI | MotivDance: Fine-Grained Text-Guided Motivation Choreography with Music Synchronization. | Chenguang Li, Yu-Hui Wen, Liping Jing |
| 2026 | ACL | PsyChain: A Collaborative Chain-of-Agents Framework for Generating Personalized and Professional Counseling Dialogues. | Yi Feng, Zijie Yang, Chen Zhang, Wenxuan Zhang, Dongming Zhang, Liping Jing, Jian Yu |
| 2026 | ACL | Structured Confidence-Guided Online Adaptation for LLM-based Multi-Label Classification. | Pengyu Xu, Jingren Hou, Liping Jing, Jian Yu |
| 2025 | AAAI | SS-GEN: A Social Story Generation Framework with Large Language Models. | Yi Feng, Mingyang Song, Jiaqi Wang, Zhuang Chen, Guanqun Bi, Minlie Huang, Liping Jing, Jian Yu |
| 2025 | ACL | Continual Gradient Low-Rank Projection Fine-Tuning for LLMs. | Chenxu Wang, Yilin Lyu, Zicheng Sun, Liping Jing |
| 2025 | CVPR | DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking. | Mingzhe Guo, Weiping Tan, Wenyu Ran, Liping Jing, Zhipeng Zhang |
| 2025 | CVPR | On the Out-Of-Distribution Generalization of Large Multimodal Models. | Xingxuan Zhang, Jiansheng Li, Wenjing Chu, Junjia Hai, Renzhe Xu, Yuqing Yang, Shikai Guan, Jiazheng Xu, Liping Jing, Peng Cui |
| 2025 | EMNLP | Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models. | Yi Feng, Jiaqi Wang, Wenxuan Zhang, Zhuang Chen, Yutong Shen, Xiyao Xiao, Minlie Huang, Liping Jing, Jian Yu |
| 2025 | ICCV | SAM Encoder Breach by Adversarial Simplicial Complex Triggers Downstream Model Failures. | Yi Qin, Rui Wang, Tao Huang, Tong Xiao, Liping Jing |
| 2025 | ICML | Learning Robust Neural Processes with Risk-Averse Stochastic Optimization. | Huafeng Liu, Yiran Fu, Liping Jing, Hui Li, Shuyang Lin, Jingyue Shi, Deqiang Ouyang, Jian Yu |
| 2025 | IJCNN | SDEFormer: Neural Stochastic Differential Equations for Continuous-Time Transformers in Irregular Time Series Modeling. | Chong Wang, Huafeng Liu, Liping Jing |
| 2025 | KDD | Learning OOD Robust Neural Operator with Risk-Averse Stochastic Optimization. | Huafeng Liu, Yiran Fu, Jingyue Shi, Liping Jing, Jian Yu |
| 2025 | KDD | Efficient Sphere-Effect Based Information Diffusion Prediction on Large-scale Social Networks. | Zihan Feng, Yajun Yang, Xin Huang, Hong Gao, Liping Jing, Qinghua Hu |
| 2024 | ACL | Match More, Extract Better! Hybrid Matching Model for Open Domain Web Keyphrase Extraction. | Mingyang Song, Liping Jing, Yi Feng |
| 2024 | CVPR | Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning. | Zhengwei Fang, Rui Wang, Tao Huang, Liping Jing |
| 2024 | CVPR | 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, Bin Dai |
| 2024 | EMNLP | Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework. | Pengyu Xu, Liping Jing, Jian Yu |
| 2024 | ICASSP | 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 |
| 2024 | NAACL | Noisy Multi-Label Text Classification via Instance-Label Pair Correction. | Pengyu Xu, Mingyang Song, Linkaida Liu, Bing Liu, Hongjian Sun, Liping Jing, Jian Yu |
| 2023 | AAAI | Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification. | Pengyu Xu, Lin Xiao, Bing Liu, Sijin Lu, Liping Jing, Jian Yu |
| 2023 | ACL | Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information. | Mingyang Song, Huafeng Liu, Yi Feng, Liping Jing |
| 2023 | ACL | Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function. | Mingyang Song, Haiyun Jiang, Lemao Liu, Shuming Shi, Liping Jing |
| 2023 | CIKM | Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process. | Mingyang Song, Huafeng Liu, Liping Jing |
| 2023 | CIKM | Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation. | Jingxuan Wen, Huafeng Liu, Liping Jing |
| 2023 | EACL | A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models. | Mingyang Song, Yi Feng, Liping Jing |
| 2023 | EMNLP | HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction. | Mingyang Song, Huafeng Liu, Liping Jing |
| 2023 | EMNLP | Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection. | Mingyang Song, Pengyu Xu, Yi Feng, Huafeng Liu, Liping Jing |
| 2023 | ICANN | Interpretable Image Recognition by Screening Class-Specific and Class-Shared Prototypes. | Xiaomeng Li, Jiaqi Wang, Liping Jing |
| 2023 | IJCAI | Recognizable Information Bottleneck. | Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing |
| 2023 | IJCNN | Bootstrap Decomposition Enhanced Orthogonal-Basis Projection Model for Long-term Time Series Forecasting. | Xiaoyu Wang, Pengyu Xu, Mingyang Song, Liping Jing |
| 2023 | WWW | HISum: Hyperbolic Interaction Model for Extractive Multi-Document Summarization. | Mingyang Song, Yi Feng, Liping Jing |
| 2022 | CIKM | A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space. | Mingyang Song, Yi Feng, Liping Jing |
| 2022 | IJCAI | Learning Target-aware Representation for Visual Tracking via Informative Interactions. | Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu |
| 2022 | NAACL | Hyperbolic Relevance Matching for Neural Keyphrase Extraction. | Mingyang Song, Yi Feng, Liping Jing |
| 2021 | AAAI | Does Head Label Help for Long-Tailed Multi-Label Text Classification. | Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song |
| 2021 | ACL | StereoRel: Relational Triple Extraction from a Stereoscopic Perspective. | Xuetao Tian, Liping Jing, Lu He, Feng Liu |
| 2021 | ACML | Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector. | Mingyang Song, Liping Jing, Yi Feng, Zhiwei Sun, Lin Xiao |
| 2021 | CVPR | Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering. | Huafeng Liu, Jiaqi Wang, Liping Jing |
| 2021 | EMNLP | Importance Estimation from Multiple Perspectives for Keyphrase Extraction. | Mingyang Song, Liping Jing, Lin Xiao |
| 2021 | ICCV | Interpretable Image Recognition by Constructing Transparent Embedding Space. | Jiaqi Wang, Huafeng Liu, Xinyue Wang, Liping Jing |
| 2021 | ICLR | Probing BERT in Hyperbolic Spaces. | Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing |
| 2021 | IJCNN | Adversarial Imbalance Classification with Class-Specific Diverse Instance Generation. | Qihang Shen, Xinyue Wang, Zixin Cai, Liping Jing |
| 2020 | AAAI | Hyperbolic Interaction Model for Hierarchical Multi-Label Classification. | Boli Chen, Xin Huang, Lin Xiao, Zixin Cai, Liping Jing |
| 2020 | ACL | Hyperbolic Capsule Networks for Multi-Label Classification. | Boli Chen, Xin Huang, Lin Xiao, Liping Jing |
| 2020 | CVPR | Deep Generative Model for Robust Imbalance Classification. | Xinyue Wang, Yilin Lyu, Liping Jing |
| 2020 | ECCV | 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 |
| 2020 | IJCNN | Unsupervised Deep Imputed Hashing for Partial Cross-modal Retrieval. | Dong Chen, Miaomiao Cheng, Chen Min, Liping Jing |
| 2020 | KSEM | Deep Generative Recommendation with Maximizing Reciprocal Rank. | Xiaoyi Sun, Huafeng Liu, Liping Jing, Jian Yu |
| 2020 | WWW | Deep Global and Local Generative Model for Recommendation. | Huafeng Liu, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang, Lin Xiao, Jian Yu |
| 2019 | ACML | Self-Supervised Deep Multi-View Subspace Clustering. | Xiukun Sun, Miaomiao Cheng, Chen Min, Liping Jing |
| 2019 | CIKM | In2Rec: Influence-based Interpretable Recommendation. | Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang |
| 2019 | EMNLP | Label-Specific Document Representation for Multi-Label Text Classification. | Lin Xiao, Xin Huang, Boli Chen, Liping Jing |
| 2019 | ICDM | Supervised Class Distribution Learning for GANs-Based Imbalanced Classification. | Zixin Cai, Xinyue Wang, Mingjie Zhou, Jian Xu, Liping Jing |
| 2019 | ICMI | Unsupervised Deep Fusion Cross-modal Hashing. | Jiaming Huang, Chen Min, Liping Jing |
| 2019 | IJCNN | Informative Instance Detection for Active Learning on Imbalanced Data. | Jian Xu, Xinyue Wang, Zixin Cai, Liu Yang, Liping Jing |
| 2019 | ICTAI | Heterogeneous Transfer Clustering for Partial Co-occurrence Data. | Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du |
| 2019 | RecSys | Deep generative ranking for personalized recommendation. | Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu |
| 2018 | AAAI | Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement. | Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing |
| 2018 | ICIP | A Joint Multi-Task CNN for Cross-Age Face Recognition. | Jinbiao Yu, Liping Jing |
| 2018 | RecSys | Neural gaussian mixture model for review-based rating prediction. | Dong Deng, Liping Jing, Jian Yu, Shaolong Sun, Haofei Zhou |
| 2017 | RecSys | Additive Co-Clustering with Social Influence for Recommendation. | Xixi Du, Huafeng Liu, Liping Jing |
| 2016 | SC | An Efficient Parallel Trust-Based Recommendation Method on Multicores. | Huafeng Liu, Liping Jing, MiaoMiao Cheng |
| 2015 | CVPR | Semi-supervised low-rank mapping learning for multi-label classification. | Liping Jing, Liu Yang, Jian Yu, Michael K. Ng |
| 2015 | IJCAI | Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering. | Liping Jing, Peng Wang, Liu Yang |
| 2014 | KSEM | Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix. | Liping Jing, Dong Deng, Jian Yu |
| 2014 | PAKDD | Constrained Least Squares Regression for Semi-Supervised Learning. | Bo Liu, Liping Jing, Jian Yu, Jia Li |
| 2013 | RecSys | Recommending scientific articles using bi-relational graph-based iterative RWR. | Geng Tian, Liping Jing |
| 2011 | ICDM | Text Clustering via Constrained Nonnegative Matrix Factorization. | Yan Zhu, Liping Jing, Jian Yu |
| 2011 | PAKDD | High-Order Co-clustering Text Data on Semantics-Based Representation Model. | Liping Jing, Jiali Yun, Jian Yu, Joshua Zhexue Huang |
| 2011 | PAKDD | Unsupervised Feature Weighting Based on Local Feature Relatedness. | Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang |
| 2010 | KES | Semantics-Based Representation Model for Multi-layer Text Classification. | Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang |
| 2009 | KSEM | New Labeling Strategy for Semi-supervised Document Categorization. | Yan Zhu, Liping Jing, Jian Yu |
| 2008 | SIGIR | Spectral geometry for simultaneously clustering and ranking query search results. | Ying Liu, Wenyuan Li, Yongjing Lin, Liping Jing |
| 2007 | DASFAA | A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering. | Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K. Ng, Xiaohua Zhou |
| 2006 | APWEB | Supplier Categorization with | Xingjun Zhang, Joshua Zhexue Huang, Depei Qian, Jun Xu, Liping Jing |
| 2005 | PAKDD | Subspace Clustering of Text Documents with Feature Weighting | Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang |
| 2004 | MDAI | A Feature Weighting Approach to Building Classification Models by Interactive Clustering. | Liping Jing, Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong |