Full Publication List

2026

1. Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
   Mengyu Li, Yonghao Liu, Fausto Giunchiglia, Ximing Li, Xiaoyue Feng*, Renchu Guan*
   The Web Conference (WWW'26)

2. Towards Practical LLM Unlearning: Efficient, Modular, and Retain-Free
   Peng Liu, Peng-Fei Zhang, Jianfeng Qu*, Ximing Li, Zhixu Li, Pengpeng Zhao
   The Web Conference (WWW'26)

3. Detecting Misinformation by Uncovering Commonsense Conflicts with LLM Workflows
   Bing Wang, Ximing Li*, Changchun Li, Bingrui Zhao, Renchu Guan, Lin Yuanbo Wu, Jungong Han
   IEEE Transactions on Knowledge and Data Engineering

4. Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios
   Bing Wang, Ximing Li*, Changchun Li, Jinjin Chi, Tianze Li, Renchu Guan, Shengsheng Wang
   IEEE Transactions on Multimedia

5. Federated Learning-based Distributed Data Completion in Sparse Mobile CrowdSensing
   En Wang, Baoju Li, Wenbin Liu*, Zengyi Han, Cong Wang, Ximing Li, Jie Wu
   IEEE Transactions on Mobile Computing

6. Denoising Mixup for Regression
   Zhengzhang Hou, Zhanshan Li, Yanbo Liu, GeoffS. Nitschke, You Lu, Ximing Li∗
   AAAI Conference on Artificial Intelligence (AAAI'26)

7. Semi-supervised Regression by Preserving Ranking Relationships between Close Unlabeled Samples
   Ximing Li, Jiaxuan Jiang, Changchun Li*, You Lu, Renchu Guan
   AAAI Conference on Artificial Intelligence (AAAI'26)

8. Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
   Bing Wang, Ximing Li*, Yanjun Wang, Changchun Li, Lin Yuanbo Wu, Buyu Wang, Shengsheng Wang
   AAAI Conference on Artificial Intelligence (AAAI'26)

9. SPARD: Single-step Inference with Adaptive Sampling in Residual Diffusion for Human Motion Prediction
   Yiming Zhang, Baojia Han, Ximing Li, Wei Pang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
   AAAI Conference on Artificial Intelligence (AAAI'26)

2025

10. The More, The Merrier: Detecting Categorical Emotions from Texts with Cross-modal Insights
    Changrong Min, Aimin Wang, Ximing Li*
    Neural Networks

11. Correlation Matters in Deep Clustering: Transforming Clustering into Self-supervised Multi-Label Learning
    Jihong Ouyang, Qingyi Meng, Ximing Li∗, Zhengjie Zhang, Bo Fu, Wenting Wang
    IEEE Transactions on Big Data

12. Bidirectional Propagation of Hierarchy-specific Features for Hierarchical Text Classification
    Bing Wang, Ximing Li*, Zhengnan Zhang, Bo Fu, Wenting Wang, Jihong Ouyang
    IEEE Transactions on Audio, Speech, and Language Processing

13. Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning
    Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li*, Jianfeng Qu, Renchu Guan
    Annual Conference on Neural Information Processing Systems (NeurIPS'25)

14. A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study
    Yuanchao Dai, Zhengzhang Hou, Changchun Li, Yuanbo Xu, En Wang, Ximing Li*
    Annual Conference on Neural Information Processing Systems (NeurIPS'25)

15. Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
    Yonghao Liu, Yajun Wang, Chunli Guo, Wei Pang, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng*, Renchu Guan*
    Annual Conference on Neural Information Processing Systems (NeurIPS'25)

16. A Multi-Agent Deep Reinforcement Learning Method for Fully Noisy Observations
    Kaiyu Wang, Danni Wang, Bohao Qu*, Menglin Zhang, Xianchang Wang, Ximing Li
    Engineering Applications of Artificial Intelligence

17. SUNRISE: Multi-Agent Reinforcement Learning via Neighbors' Observations under Fully Noisy Environments
    Kaiyu Wang, Bohao Qu*, Menglin Zhang, Xianchang Wang, Ximing Li
    Expert Systems With Applications

18. Weakly Supervised Fine-grained Span-Level Framework for Chinese Radiology Report Quality Assurance
    Kaiyu Wang, Lin Mu, Zhiyao Yang, Ximing Li*, Xiaotang Zhou, Wanfu Gao, Huimao Zhang
    ACM International Conference on Information and Knowledge Management (CIKM'25)

19. Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations
    Bing Wang, Ximing Li*, Yiming Wang, Changchun Li, Jiaxu Cui, Renchu Guan, Bo Yang*
    ACM International Conference on Information and Knowledge Management (CIKM'25)

20. Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors
    Bing Wang, Ximing Li*, Mengzhe Ye, Changchun Li, Bo Fu, Jianfeng Qu, Lin Yuanbo Wu
    ACM International Conference on Multimedia (ACM MM'25)

21. Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
    Yuanchao Dai, Ximing Li*, Changchun Li
    International Conference on Machine Learning (ICML'25)

22. Robust Misinformation Detection by Visiting Potential Commonsense Conflict
    Bing Wang, Ximing Li*, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Shengsheng Wang*
    International Joint Conference on Artificial Intelligence (IJCAI'25)

23. Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator
    Bing Wang, Bingrui Zhao, Ximing Li*, Changchun Li, Wanfu Gao, Shengsheng Wang
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'25)

24. Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions
    Tianhao Ma, Han Chen, Juncheng Hu, Yungang Zhu, Ximing Li*
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'25)

25. Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
    Yonghao Liu, Mengyu Li, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng*, Renchu Guan*
    The Web Conference (WWW'25)

26. Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision
    Ximing Li, Yuanchao Dai, Zhiyao Yang, Jinjin Chi, Wanfu Gao, Lin Yuanbo Wu
    AAAI Conference on Artificial Intelligence (AAAI'25)

27. A Simple Graph Contrastive Learning Framework for Short Text Classification
    Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng*, Renchu Guan*
    AAAI Conference on Artificial Intelligence (AAAI'25)

28. Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
    Yonghao Liu, Fausto Giunchiglia, Ximing Li, Lan Huang, Xiaoyue Feng*, Renchu Guan*
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25)

2024

29. Positive and Unlabeled Learning with Controlled Probability Boundary Fence
    Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li*, Bing Wang, Jihong Ouyang
    International Conference on Machine Learning (ICML'24)

30. Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
    Ximing Li, Silong Liang, Changchun Li*, Pengfei Wang, Fangming Gu
    Advances in Neural Information Processing Systems (NeurIPS'24)

31. WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives
    Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Jihong Ouyang
    International Joint Conference on Artificial Intelligence (IJCAI'24)

32. Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence
    Shuai Lv, Meng Kang, Ximing Li*
    International Joint Conference on Artificial Intelligence (IJCAI'24)

33. Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
    Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan
    International Joint Conference on Artificial Intelligence (IJCAI'24)

34. Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem
    Rui Sun, Yiyuan Wang, Shimao Wang, Hui Li, Ximing Li, Minghao Yin
    International Joint Conference on Artificial Intelligence (IJCAI'24)

35. A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification
    Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
    The Web Conference (WWW'24)

36. Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
    Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li*
    AAAI Conference on Artificial Intelligence (AAAI'24)

37. Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
    Jiaan Wang, Jianfeng Qu, Kexin Wang, Zhixu Li, Wen Hua, Ximing Li, An Liu
    AAAI Conference on Artificial Intelligence (AAAI'24)

38. Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
    Bing Wang, Shengsheng Wang*, Changchun Li, Renchu Guan, Ximing Li*
    ACM International Conference on Multimedia (ACM MM'24)

39. Why Misinformation is Created? Detecting them by Integrating Intent Features
    Bing Wang, Ximing Li*, Changchun Li, Bo Fu, Songwen Pei, Shengsheng Wang
    ACM International Conference on Information and Knowledge Management (CIKM'24)

40. Closed Loop Networks for Open-set Semi-supervised Learning
    Jihong Ouyang, Qingyi Meng, Ximing Li, Zhengjie Zhang, Changchun Li, Wenting Wang
    Information Sciences

41. Escaping the Neutralization Effect of Modality Features Fusion in Multimodal Fake News Detection
    Bing Wang, Ximing Li*, Changchun Li, Shengsheng Wang*, Wanfu Gao
    Information Fusion

42. Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering
    Bing Wang, Ximing Li*, Zhiyao Yang, Yuanyuan Guan, Jiayin Li, Shengsheng Wang*
    Neural Networks

43. Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation
    Ximing Li, Bing Wang, Yang Wang, Meng Wang
    ACM Transactions on Discovery from Data

44. Anomaly Aware Symmetric Non-negative Matrix Factorization for Short Text Clustering
    Ximing Li, Yuanyuan Guan, Bo Fu, Zhongxuan Luo
    Knowledge and Information Systems

45. Exploiting Multi-level Consistency Learning for Source-free Domain Adaptation
    Jihong Ouyang, Zhengjie Zhang, Jinjin Chi, Ximing Li
    Multimedia Systems

46. Uncertainty-aware Sparse Transformer Network for Single Image Deraindrop
    Bo Fu, Yunyun Jiang, Di Wang, Jiaxin Gao, Cong Wang, Ximing Li
    IEEE Transactions on Instrumentation & Measurement

47. Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
    Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng*, Renchu Guan*
    ACM Transactions on Discovery from Data

48. Consensus Representation-Driven Structured Graph Learning for Multi-View Clustering
    Zhibin Gu, Jiazheng Yuan, Ximing Li, Songhe Feng*
    Applied Intelligence

2023

49. Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction
    Changrong Min, Hongfei Lin, Ximing Li*, Zhilin Wang, Liang Yang, Bo Xu
    Annual Meeting of the Association for Computational Linguistics (ACL'23)

50. Weakly Supervised Regression with Interval Targets
    Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng*
    International Conference on Machine Learning (ICML'23)

51. Local and Global: Temporal Question Answering via Information Fusion
    Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng*, Rechu Guan*
    International Joint Conference on Artificial Intelligence (IJCAI'23)

52. Learning with Partial Labels from Semi-supervised Perspective
    Ximing Li, Yuanzhi Jiang, Changchun Li*, Yiyuan Wang, Jihong Ouyang
    AAAI Conference on Artificial Intelligence (AAAI'23)

53. TC-DWA: Text Clustering with Dual Word-level Augmentation
    Bo Cheng, Ximing Li*, Yi Chang*
    AAAI Conference on Artificial Intelligence (AAAI'23)

54. Variational Wasserstein Barycenters with c-Cyclical Monotonicity Regularization
    Jinjin Chi, Zhiyao Yang, Ximing Li*, Jihong Ouyang, Renchu Guan
    AAAI Conference on Artificial Intelligence (AAAI'23)

55. Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning
    Jihong Ouyang, Zhiyao Yang, Chuang Xuan, Bing Wang, Yiyuan Wang, Ximing Li*
    ACM International Conference on Information and Knowledge Management (CIKM'23)

56. Finding Hate Speech with Auxiliary Emotion Detection from Self-supervised Multi-label Learning Perspective
    Changrong Min, Hongfei Lin, Ximing Li*, He Zhao, Junyu Lu, Liang Yang, Bo Xu
    Information Fusion

57. S3MAP: Semisupervised Aspect-based Sentiment Analysis with Masked Aspect Prediction
    Zhiyao Yang, Bing Wang, Ximing Li, Wenting Wang, Jihong Ouyang
    Knowledge-based Systems

58. Adaptive Prototype and Consistency Alignment for Semi-supervised Domain Adaptation
    Ouyang Jihong, Zhengjie Zhang, Qingyi Meng, Ximing Li*
    Multimedia and Application Tools

59. Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals
    Ximing Li, Bing Wang, Yue Wang, Jihong Ouyang
    Soft Computing

2022

60. Weakly-supervised Text Classification with Wasserstein Barycenters Regularization
    Jihong Ouyang, Yiming Wang, Ximing Li*
    International Joint Conference on Artificial Intelligence (IJCAI'22)

61. Few-shot Node Classification on Attributed Networks with Graph Meta-learning
    Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'22)

62. Deployable and Continuable Meta-Learning-Based Recommender System with Fast User-Incremental Updates
    Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng Yang, Xiaoyue Feng
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'22)

63. Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
    Changchun Li, Ximing Li*, Lei Feng, Jihong Ouyang
    International Conference on Learning Representations (ICLR'22)

64. PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation
    Haoyu Pang, Fausto Giunchiglia, Ximing Li, Renchu Guan, Xiaoyue Feng
    The Web Conference (WWW'22)

65. A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis
    Bing Wang, Liang Ding*, Qihuang Zhong, Ximing Li, Dacheng Tao
    International Conference on Computational Linguistics (COLING'22)

66. Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning
    Zhiqi Ge, Yuanyuan Guan, Ximing Li*, Bo Fu
    ACM International Conference on Information and Knowledge Management (CIKM'22)

67. Eliminating Negative Word Similarities for Measuring Document Distances: A Thoroughly Empirical Study on Word Mover's Distance
    Bo Cheng, Ximing Li*, Yi Chang*
    IEEE Transactions on Neural Networks and Learning Systems

68. Approximate Posterior Inference for Bayesian Models: Black-box Expectation Propagation
    Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
    Knowledge and Information Systems

2021

69. Semi-Supervised Text Classification with Balanced Deep Representation Distributions
    Changchun Li, Ximing Li*, Jihong Ouyang
    Annual Meeting of the Association for Computational Linguistics (ACL'21)

70. Layer-Assisted Neural Topic Modeling over Document Networks
    Yiming Wang, Ximing Li*, Jihong Ouyang
    International Joint Conference on Artificial Intelligence (IJCAI'21)

71. Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts
    Yiming Wang, Ximing Li*, Xiaotang Zhou, Jihong Ouyang
    Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP'21)

72. Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks
    Changchun Li, Ximing Li*, Jihong Ouyang, Yiming Wang
    ACM International Conference on Information and Knowledge Management (CIKM'21)

73. To Be or not to Be, Tail Labels in Extreme Multi-label Learning
    Zhiqi Ge, Ximing Li*
    ACM International Conference on Information and Knowledge Management (CIKM'21)

74. VPALG: Paper-publication Prediction with Graph Neural Networks
    Renchu Guan, Yonghao Liu, Xiaoyue Feng*, Ximing Li*
    ACM International Conference on Information and Knowledge Management (CIKM'21)

75. Extracting Nonlinear Neural Topics with Neural Variational Bayes
    Yiming Wang, Ximing Li*, Jihong Ouyang, Zeqi Guo, Yimeng Wang
    World Wide Web Journal

76. Topic Extraction from Extremely Short Texts with Variational Manifold Regularization
    Ximing Li, Yang Wang, Jihong Ouyang, Meng Wang
    Machine Learning

77. Approximate Continuous Optimal Transport with Copulas
    Jinjin Chi, Bilin Wang, Huiling Chen, Lejun Zhang*, Ximing Li*, Jihong Ouyang
    International Journal of Intelligent Systems

78. RMoR-Aion: Robust Multi-output Regression by Simultaneously Alleviating Input and Output Noises
    Ximing Li, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang
    IEEE Transactions on Neural Networks and Learning Systems

2020

79. Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning
    Ximing Li, Yang Wang
    International Joint Conference on Artificial Intelligence (IJCAI'20)

80. Reduction and Local Search for Weighted Graph Coloring Problem
    Yiyuan Wang, Shaowei Cai, Shiwei Pan, Ximing Li, Minghao Yin
    AAAI Conference on Artificial Intelligence (AAAI'20)

81. Semantics-assisted Wasserstein Learning for Topic and Word Embeddings
    Changchun Li, Ximing Li*, Jihong Ouyang, Yiming Wang,
    IEEE International Conference on Data Mining (ICDM'20)

82. Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies
    Changchun Li, Ximing Li*, Jihong Ouyang
    ACM International Conference on Information and Knowledge Management (CIKM'20)

83. Color Image Super-Resolution and Enhancement with Inter-Channel Details at Trivial Cost
    Chuangye Zhang, Yan Niu, Tie Ru, Ximing Li
    Journal of Computer Science and Technology

2019

84. Approximate Optimal Transport for Continuous Densities with Copulas
    Jinjin Chi, Jihong Ouyang, Ximing Li*, Yang Wang, Meng Wang
    International Joint Conference on Artificial Intelligence (IJCAI'19)

85. Classifying Extremely Short Texts by Exploring Semantic Centroids in Word Mover's Distance Space
    Changchun Li, Jihong Ouyang, Ximing Li*
    The Web Conference (WWW'19)

86. Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts
    Ximing Li, Jiaojiao Zhang, Jihong Ouyang
    AAAI Conference on Artificial Intelligence (AAAI'19)

87. A Fine-grained and Noise-aware Method for Neural Relation Extraction
    Jianfeng Qu, Wen Hua, Dantong Ouyang, Xiaofang Zhou, Ximing Li
    ACM International Conference on Information and Knowledge Management (CIKM'19)

88. Robust Stochastic Block Model
    Zhijuan Xu, Xueyan Liu, Xianjuan Cui, Ximing Li, Bo Yang
    Neurocomputing

89. Topic Representation: Finding More Representative Words in Topic Models
    Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li*, Xinhua Wang
    Pattern Recognition Letters

90. A Salt and Pepper Noise Image Denoising Method based on the Generative Classification
    Bo Fu, Xiaoyang Zhao, Chuanming Song, Ximing Li, Xiang-Hai Wang
    Multimedia Tools and Applications

91. Relational Biterm Topic Model: Short Text Topic Modeling using Word Embeddings
    Ximing Li, Ang Zhang, Changchun Li, Lantian Guo, Wenting Wang, Jihong Ouyang
    The Computer Journal

92. Empirical Study on Variational Inference Methods for Topic Models
    Jinjin Chi, Jihong Ouyang, Ximing Li, Changchun Li
    Journal of Experimental & Theoretical Artificial Intelligence

2018

93. Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling
    Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
    International Joint Conference on Artificial Intelligence (IJCAI'18)

94. Dataless Text Classification: A Topic Modeling Approach with Document Manifold
    Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li
    ACM International Conference on Information and Knowledge Management (CIKM'18)

95. A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words
    Ximing Li, Bo Yang
    International Conference on Computational Linguistics (COLING'18)

96. Black-box Expectation Propagation for Bayesian Models
    Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Wenting Wang,
    SIAM International Conference on Data Mining (SDM'18)

97. Exploring Coherent Topics by Topic Modeling with Term Weighting
    Ximing Li, Ang Zhang, Changchun Li, Jihong Ouyang, Yi Cai
    Information Processing and Management

98. Supervised Topic Models with Weighted Words: Multi-label Document Classification
    Yue-peng Zou, Jihong Ouyang, Ximing Li*
    Frontiers of Information Technology & Electronic Engineering

99. Two Time-efficient Gibbs Sampling Inference Algorithms for Biterm Topic Model
    Xiaotang Zhou, Jihong Ouyang, Ximing Li
    Applied Intelligence

100. A More Time-efficient Gibbs Sampling Algorithm based on SparseLDA for Latent Dirichlet Allocation
     Xiaotang Zhou, Jihong Ouyang, Ximing Li
     Intelligent Data Analysis

101. Filtering out the Noise in Short Text Topic Modeling
     Ximing Li, Yue Wang, Ang Zhang, Changchun Li, Jinjin Chi, Jihong Ouyang
     Information Sciences

102. Short text Topic Modeling by Exploring Original Documents
     Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang,
     Knowledge and Information Systems

103. Distant Supervision for Neural Relation Extraction Integrated with Word Attention and Property Features
     Jianfeng Qu, Dantong Ouyang, Wen Hua, Yuxin Ye, Ximing Li
     Neural Networks

2016

104. Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs
     Ximing Li, Jinjin Chi, Changchun Li, Jihong Ouyang, Bo Fu
     International Conference on Computational Linguistics (COLING'16)

105. Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation
     Ximing Li, Jihong Ouyang, Xiaotang Zhou
     SIAM International Conference on Data Mining (SDM'16)

106. Supervised Topic Models for Multi-label Classification
     Ximing Li, Jihong Ouyang, Xiaotang Zhou
     Neurocomputing

107. Tuning the Learning Rate for Stochastic Variational Inference
     Ximing Li, Jihong Ouyang
     Journal of Computer Science and Technology

108. A Kernel-based Centroid Classifier using Hypothesis Margin
     Ximing Li, Jihong Ouyang, Xiaotang Zhou
     Journal of Experimental & Theoretical Artificial Intelligence

109. Boosting scene understanding by hierarchical Pachinko allocation
     Jihong Ouyang, Ximing Li, Hongtu Li
     Multimedia Tools and Applications

110. Labelset Topic Model for Multi-label Document Classification
     Ximing Li, Jihong Ouyang, Xiaotang Zhou
     Journal of Intelligent Information Systems

2015

111. Multi-grain Sentiment/Topic Model based on LDA
     Jihong Ouyang, Yanhui Liu, Ximing Li, Xiaotang Zhou
     Acta Electronica Sinica

112. Supervised Topic Models for Multi-label Classification
     Ximing Li, Jihong Ouyang, Xiaotang Zhou
     Neurocomputing

113. Group Topic Model: Organizing Topics into Groups
     Ximing Li, Jihong Ouyang, You Lu, Xiaotang Zhou, Tian Tian
     Information Retrieval

114. Supervised Labeled Latent Dirichlet Allocation for Document Categorization
     Ximing Li, Jihong Ouyang, Xiaotang Zhou, You Lu, Yanhui Liu
     Applied Intelligence

115. Centroid Prior Topic Model for Multi-label Classification
     Ximing Li, Jihong Ouyang, Xiaotang Zhou
     Pattern Recognition Letters

2014

116. Adaptive Centroid-based Algorithm for Document Clustering
     Ximing Li, Jihong Ouyang, Xiaotang Zhou
     International Symposium on Parallel Architectures, Algorithms and Programming (PAAP'14)

117. Momentum Online LDA for Large-scale Datasets
     Jihong Ouyang, You Lu, Ximing Li
     European Conference on Artificial Intelligence (ECAI'14)