2022

doi dblp
Extracting nonlinear neural topics with neural variational bayes
Yiming Wang | Ximing Li | Jihong Ouyang | Zeqi Guo | Yimeng Wang
2022 Volume 25 Issue 1

doi dblp
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
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

doi dblp
Few-shot Node Classification on Attributed Networks with Graph Meta-learning
Yonghao Liu | Mengyu Li | Ximing Li | Fausto Giunchiglia | Xiaoyue Feng | Renchu Guan
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

doi dblp
Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning
Zhiqi Ge | Yuanyuan Guan | Ximing Li | Bo Fu
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp
PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation
Haoyu Pang | Fausto Giunchiglia | Ximing Li | Renchu Guan | Xiaoyue Feng
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

doi dblp
Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks
Changchun Li | Ximing Li | Jihong Ouyang | Yiming Wang
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
VPALG: Paper-publication Prediction with Graph Neural Networks
Renchu Guan | Yonghao Liu | Xiaoyue Feng | Ximing Li
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
To Be or not to Be, Tail Labels in Extreme Multi-label Learning
Zhiqi Ge | Ximing Li
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

2020

doi dblp
Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies
Changchun Li | Ximing Li | Jihong Ouyang
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

2019

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A Fine-grained and Noise-aware Method for Neural Relation Extraction
Jianfeng Qu | Wen Hua | Dantong Ouyang | Xiaofang Zhou | Ximing Li
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

doi dblp
Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover's Distance Space
Changchun Li | Jihong Ouyang | Ximing Li
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2018

doi dblp
Exploring coherent topics by topic modeling with term weighting
Ximing Li | Ang Zhang | Changchun Li | Jihong Ouyang | Yi Cai
2018 Volume 54 Issue 6

doi dblp
Dataless Text Classification: A Topic Modeling Approach with Document Manifold
Ximing Li | Changchun Li | Jinjin Chi | Jihong Ouyang | Chenliang Li
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

2015

doi dblp
Group topic model: organizing topics into groups
Ximing Li | Jihong Ouyang | You Lu | Xiaotang Zhou | Tian Tian
2015 Volume 18 Issue 1