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ORCIDXiming Li 0002
Person information
- affiliation: Jilin University, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin, China
Other persons with the same name
- Ximing Li — disambiguation page
- Ximing Li 0001
![[0000-0003-4022-1273]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4022-1273")
— South China Agricultural University, Guangzhou, China - Ximing Li 0003 — Sun Yat-sen University, Guangzhou, China
- Ximing Li 0004 — Ohio University, Athens, OH, USA
- Ximing Li 0005 — Beijing University of Posts and Telecommunications, Key Laboratory of Trustworthy Distributed Computing and Service, Beijing, China
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Journal Articles
- 2025
[j38]Zeqi Guo, Jihong Ouyang, Ximing Li, Changchun Li:
Task-oriented Multi-domain Adversarial Network for fake news detection. Appl. Soft Comput. 177: 113227 (2025)- [j37]Jihong Ouyang, Qingyi Meng, Ximing Li, Zhengjie Zhang, Changchun Li, Wenting Wang:
Closed loop networks for open-set semi-supervised learning. Inf. Sci. 699: 121788 (2025) - 2024
- [j36]Bing Wang, Ximing Li, Changchun Li, Shengsheng Wang, Wanfu Gao:
Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection. Inf. Fusion 111: 102500 (2024) - [j35]Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Jinjin Chi:
Exploiting multi-level consistency learning for source-free domain adaptation. Multim. Syst. 30(5): 248 (2024) - [j34]Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Dang Ngoc Hoang Thanh:
Adaptive prototype and consistency alignment for semi-supervised domain adaptation. Multim. Tools Appl. 83(3): 9307-9328 (2024) - [j33]Bing Wang, Ximing Li, Zhiyao Yang, Yuanyuan Guan, Jiayin Li, Sheng-Sheng Wang:
Unsupervised Sentence Representation Learning with Frequency-induced Adversarial tuning and Incomplete sentence filtering. Neural Networks 175: 106315 (2024) - [j32]Bo Fu, Yunyun Jiang, Di Wang, Jiaxin Gao, Cong Wang, Ximing Li:
Uncertainty-Aware Sparse Transformer Network for Single-Image Deraindrop. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j31]Ximing Li, Bing Wang, Yang Wang, Meng Wang:
Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation. ACM Trans. Knowl. Discov. Data 18(4): 77:1-77:21 (2024) - [j30]Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan:
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. ACM Trans. Knowl. Discov. Data 18(9): 212:1-212:30 (2024) - [j29]Bo Cheng, Ximing Li, Yi Chang:
Eliminating Negative Word Similarities for Measuring Document Distances: A Thoroughly Empirical Study on Word Mover's Distance. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7936-7948 (2024) - 2023
- [j28]Ying Wang, Yuanyuan Guan, Bing Wang, Ximing Li:
Learning with partial multi-labeled data by leveraging low-rank constraint and decomposition. Appl. Intell. 53(7): 8133-8145 (2023) - [j27]Zhiyao Yang, Bing Wang, Ximing Li, Wenting Wang, Jihong Ouyang:
S3map: Semisupervised aspect-based sentiment analysis with masked aspect prediction. Knowl. Based Syst. 269: 110513 (2023) - [j26]Ximing Li, Bing Wang, Yue Wang, Jihong Ouyang, Harish Garg, Dang N. H. Thanh:
Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals. Soft Comput. 27(9): 5397-5410 (2023) - 2022
- [j25]Jinjin Chi, Bilin Wang, Huiling Chen, Lejun Zhang, Ximing Li, Jihong Ouyang:
Approximate continuous optimal transport with copulas. Int. J. Intell. Syst. 37(8): 5354-5380 (2022) - [j24]Jinjin Chi, Jihong Ouyang, Ang Zhang, Xinhua Wang, Ximing Li:
Fast copula variational inference. J. Exp. Theor. Artif. Intell. 34(2): 295-310 (2022) - [j23]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang:
Approximate posterior inference for Bayesian models: black-box expectation propagation. Knowl. Inf. Syst. 64(9): 2361-2387 (2022) - [j22]Yiming Wang, Ximing Li, Jihong Ouyang, Zeqi Guo, Yimeng Wang:
Extracting nonlinear neural topics with neural variational bayes. World Wide Web 25(1): 131-149 (2022) - 2021
- [j21]Ximing Li, Yang Wang, Jihong Ouyang, Meng Wang:
Topic extraction from extremely short texts with variational manifold regularization. Mach. Learn. 110(5): 1029-1066 (2021) - [j20]Ximing Li, Yang Wang, Zhao Zhang, Richang Hong, Li Zhuo, Meng Wang:
RMoR-Aion: Robust Multioutput Regression by Simultaneously Alleviating Input and Output Noises. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1351-1364 (2021) - 2019
- [j19]Ximing Li, Ang Zhang, Changchun Li, Lantian Guo, Wenting Wang, Jihong Ouyang:
Relational Biterm Topic Model: Short-Text Topic Modeling using Word Embeddings. Comput. J. 62(3): 359-372 (2019) - [j18]Bo Fu, Xiaoyang Zhao, Chuanming Song, Ximing Li, Xiang-Hai Wang:
A salt and pepper noise image denoising method based on the generative classification. Multim. Tools Appl. 78(9): 12043-12053 (2019) - [j17]Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang:
Topic representation: Finding more representative words in topic models. Pattern Recognit. Lett. 123: 53-60 (2019) - 2018
- [j16]Xiaotang Zhou, Jihong Ouyang, Ximing Li:
Two time-efficient gibbs sampling inference algorithms for biterm topic model. Appl. Intell. 48(3): 730-754 (2018) - [j15]Xiaotang Zhou, Jihong Ouyang, Ximing Li:
A more time-efficient gibbs sampling algorithm based on SparseLDA for latent dirichlet allocation. Intell. Data Anal. 22(6): 1227-1257 (2018) - [j14]Ximing Li, Ang Zhang, Changchun Li, Jihong Ouyang, Yi Cai:
Exploring coherent topics by topic modeling with term weighting. Inf. Process. Manag. 54(6): 1345-1358 (2018) - [j13]Ximing Li, Yue Wang, Ang Zhang, Changchun Li, Jinjin Chi, Jihong Ouyang:
Filtering out the noise in short text topic modeling. Inf. Sci. 456: 83-96 (2018) - [j12]Jinjin Chi, Jihong Ouyang, Ximing Li, Changchun Li:
Empirical study on variational inference methods for topic models. J. Exp. Theor. Artif. Intell. 30(1): 129-142 (2018) - [j11]Yue-peng Zou, Jihong Ouyang, Ximing Li:
Supervised topic models with weighted words: multi-label document classification. Frontiers Inf. Technol. Electron. Eng. 19(4): 513-523 (2018) - [j10]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang:
Short text topic modeling by exploring original documents. Knowl. Inf. Syst. 56(2): 443-462 (2018) - 2016
- [j9]Ximing Li, Jihong Ouyang:
Tuning the Learning Rate for Stochastic Variational Inference. J. Comput. Sci. Technol. 31(2): 428-436 (2016) - [j8]Ximing Li, Jihong Ouyang, Xiaotang Zhou:
A kernel-based centroid classifier using hypothesis margin. J. Exp. Theor. Artif. Intell. 28(6): 955-969 (2016) - [j7]Ximing Li, Jihong Ouyang, Xiaotang Zhou:
Labelset topic model for multi-label document classification. J. Intell. Inf. Syst. 46(1): 83-97 (2016) - [j6]Jihong Ouyang, Ximing Li, Hongtu Li:
Boosting scene understanding by hierarchical pachinko allocation. Multim. Tools Appl. 75(20): 12581-12595 (2016) - 2015
- [j5]Ximing Li, Jihong Ouyang, Xiaotang Zhou, You Lu, Yanhui Liu:
Supervised labeled latent Dirichlet allocation for document categorization. Appl. Intell. 42(3): 581-593 (2015) - [j4]Ximing Li, Jihong Ouyang, Xiaotang Zhou:
Supervised topic models for multi-label classification. Neurocomputing 149: 811-819 (2015) - [j3]Ximing Li, Jihong Ouyang, You Lu, Xiaotang Zhou, Tian Tian:
Group topic model: organizing topics into groups. Inf. Retr. J. 18(1): 1-25 (2015) - [j2]Ximing Li, Jihong Ouyang, You Lu:
Topic modeling for large-scale text data. Frontiers Inf. Technol. Electron. Eng. 16(6): 457-465 (2015) - [j1]Ximing Li, Jihong Ouyang, Xiaotang Zhou:
Centroid prior topic model for multi-label classification. Pattern Recognit. Lett. 62: 8-13 (2015)
Conference and Workshop Papers
- 2025
- [c44]Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan:
A Simple Graph Contrastive Learning Framework for Short Text Classification. AAAI 2025: 19015-19023 - [c43]Ximing Li, Yuanchao Dai, Zhiyao Yang, Jinjin Chi, Wanfu Gao, Lin Yuanbo Wu:
Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision. AAAI 2025: 24503-24511 - [c42]Yonghao Liu, Fausto Giunchiglia, Ximing Li, Lan Huang, Xiaoyue Feng, Renchu Guan:
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport. KDD (1) 2025: 871-882 - [c41]Yonghao Liu, Mengyu Li, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan:
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks. WWW 2025: 2646-2656 - 2024
- [c40]Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li:
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. AAAI 2024: 18842-18850 - [c39]Bing Wang, Ximing Li, Changchun Li, Bo Fu, Songwen Pei, Shengsheng Wang:
Why Misinformation is Created? Detecting them by Integrating Intent Features. CIKM 2024: 2304-2314 - [c38]Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang:
Positive and Unlabeled Learning with Controlled Probability Boundary Fence. ICML 2024 - [c37]Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang:
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. IJCAI 2024: 4479-4487 - [c36]Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan:
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. IJCAI 2024: 4605-4613 - [c35]Rui Sun, Yiyuan Wang, Shimao Wang, Hui Li, Ximing Li, Minghao Yin:
Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem. IJCAI 2024: 7029-7037 - [c34]Bing Wang, Shengsheng Wang, Changchun Li, Renchu Guan, Ximing Li:
Harmfully Manipulated Images Matter in Multimodal Misinformation Detection. ACM Multimedia 2024: 2262-2271 - [c33]Ximing Li, Silong Liang, Changchun Li, Pengfei Wang, Fangming Gu:
Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss. NeurIPS 2024 - [c32]Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification. WWW 2024: 4249-4259 - 2023
- [c31]Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan:
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization. AAAI 2023: 7157-7165 - [c30]Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang:
Learning with Partial Labels from Semi-supervised Perspective. AAAI 2023: 8666-8674 - [c29]Jihong Ouyang, Zhiyao Yang, Chang Xuan, Bing Wang, Yiyuan Wang, Ximing Li:
Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning. CIKM 2023: 1982-1991 - [c28]Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng:
Weakly Supervised Regression with Interval Targets. ICML 2023: 5428-5448 - [c27]Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan:
Local and Global: Temporal Question Answering via Information Fusion. IJCAI 2023: 5141-5149 - 2022
- [c26]Zhiqi Ge, Yuanyuan Guan, Ximing Li, Bo Fu:
Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning. CIKM 2022: 551-560 - [c25]Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao:
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. COLING 2022: 6691-6704 - [c24]Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang:
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning. ICLR 2022 - [c23]Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li:
Weakly-supervised Text Classification with Wasserstein Barycenters Regularization. IJCAI 2022: 3373-3379 - [c22]Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Few-shot Node Classification on Attributed Networks with Graph Meta-learning. SIGIR 2022: 471-481 - [c21]Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng Yang, Xiaoyue Feng:
Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates. SIGIR 2022: 1423-1433 - [c20]Haoyu Pang, Fausto Giunchiglia, Ximing Li, Renchu Guan, Xiaoyue Feng:
PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation. WWW 2022: 348-359 - 2021
- [c19]Changchun Li, Ximing Li, Jihong Ouyang:
Semi-Supervised Text Classification with Balanced Deep Representation Distributions. ACL/IJCNLP (1) 2021: 5044-5053 - [c18]Renchu Guan, Yonghao Liu, Xiaoyue Feng, Ximing Li:
VPALG: Paper-publication Prediction with Graph Neural Networks. CIKM 2021: 617-626 - [c17]Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang:
Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks. CIKM 2021: 903-912 - [c16]Yiming Wang, Ximing Li, Xiaotang Zhou, Jihong Ouyang:
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts. EMNLP (Findings) 2021: 18-27 - [c15]Yiming Wang, Ximing Li, Jihong Ouyang:
Layer-Assisted Neural Topic Modeling over Document Networks. IJCAI 2021: 3148-3154 - 2020
- [c14]Yiyuan Wang, Shaowei Cai, Shiwei Pan, Ximing Li, Minghao Yin:
Reduction and Local Search for Weighted Graph Coloring Problem. AAAI 2020: 2433-2441 - [c13]Changchun Li, Ximing Li, Jihong Ouyang:
Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies. CIKM 2020: 725-734 - [c12]Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang:
Semantics-assisted Wasserstein Learning for Topic and Word Embeddings. ICDM 2020: 292-301 - [c11]Ximing Li, Yang Wang:
Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning. IJCAI 2020: 1373-1380 - 2019
- [c10]Ximing Li, Jiaojiao Zhang, Jihong Ouyang:
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. AAAI 2019: 7884-7891 - [c9]Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang:
Approximate Optimal Transport for Continuous Densities with Copulas. IJCAI 2019: 2165-2171 - [c8]Changchun Li, Jihong Ouyang, Ximing Li:
Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover's Distance Space. WWW 2019: 939-949 - 2018
- [c7]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li:
Dataless Text Classification: A Topic Modeling Approach with Document Manifold. CIKM 2018: 973-982 - [c6]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang:
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling. IJCAI 2018: 2404-2410 - [c5]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Wenting Wang:
Black-box Expectation Propagation for Bayesian Models. SDM 2018: 603-611 - 2016
- [c4]Ximing Li, Jinjin Chi, Changchun Li, Jihong Ouyang, Bo Fu:
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs. COLING 2016: 151-160 - [c3]Ximing Li, Jihong Ouyang, Xiaotang Zhou:
Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation. SDM 2016: 729-737 - 2014
- [c2]Jihong Ouyang, You Lu, Ximing Li:
Momentum Online LDA for Large-scale Datasets. ECAI 2014: 1075-1076 - [c1]Ximing Li, Jihong Ouyang, Xiaotang Zhou, Bo Fu:
Adaptive Centroid-Based Clustering Algorithm for Text Document Data. PAAP 2014: 63-68
Informal and Other Publications
- 2025
- [i19]Yonghao Liu, Fausto Giunchiglia, Ximing Li, Lan Huang, Xiaoyue Feng, Renchu Guan:
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport. CoRR abs/2501.05635 (2025) - [i18]Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan:
A Simple Graph Contrastive Learning Framework for Short Text Classification. CoRR abs/2501.09219 (2025) - [i17]Yonghao Liu, Mengyu Li, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan:
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks. CoRR abs/2502.14158 (2025) - [i16]Bing Wang, Bingrui Zhao, Ximing Li, Changchun Li, Wanfu Gao, Sheng-Sheng Wang:
Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. CoRR abs/2504.04076 (2025) - [i15]Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Sheng-Sheng Wang:
Robust Misinformation Detection by Visiting Potential Commonsense Conflict. CoRR abs/2504.21604 (2025) - 2024
- [i14]Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan:
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. CoRR abs/2405.12434 (2024) - [i13]Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan:
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. CoRR abs/2407.14732 (2024) - [i12]Bing Wang, Sheng-Sheng Wang, Changchun Li, Renchu Guan, Ximing Li:
Harmfully Manipulated Images Matter in Multimodal Misinformation Detection. CoRR abs/2407.19192 (2024) - [i11]Bing Wang, Ximing Li, Changchun Li, Bo Fu, Songwen Pei, Shengsheng Wang:
Why Misinformation is Created? Detecting them by Integrating Intent Features. CoRR abs/2407.19196 (2024) - 2023
- [i10]Bing Wang, Ximing Li, Zhiyao Yang, Yuanyuan Guan, Jiayin Li, Shengsheng Wang:
Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering. CoRR abs/2305.08655 (2023) - [i9]Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng:
Weakly Supervised Regression with Interval Targets. CoRR abs/2306.10458 (2023) - [i8]Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li:
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. CoRR abs/2312.10961 (2023) - 2022
- [i7]Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao:
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis. CoRR abs/2204.07832 (2022) - [i6]Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang:
Learning with Partial Labels from Semi-supervised Perspective. CoRR abs/2211.13655 (2022) - 2021
- [i5]Jinjin Chi, Zhiyao Yang, Jihong Ouyang, Ximing Li:
Variational Wasserstein Barycenters with c-Cyclical Monotonicity. CoRR abs/2110.11707 (2021) - [i4]Bing Wang, Yue Wang, Ximing Li, Jihong Ouyang:
Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals. CoRR abs/2112.03009 (2021) - 2020
- [i3]Ximing Li, Yang Wang:
Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning. CoRR abs/2006.11488 (2020) - 2018
- [i2]Bo Fu, Xiao-Yang Zhao, Yong-Gong Ren, Ximing Li, Xiang-Hai Wang:
A salt and pepper noise image denoising method based on the generative classification. CoRR abs/1807.05478 (2018) - [i1]Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang:
Topic representation: finding more representative words in topic models. CoRR abs/1810.10307 (2018)
Coauthor Index
[j38] [j37] [j35] [j34] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j19] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c40] [c38] [c37] [c31] [c30] [c29] [c24] [c23] [c19] [c17] [c16] [c15] [c13] [c12] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i8] [i6] [i5] [i4] [i1]
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