2023

doi dblp
Few-shot Node Classification with Extremely Weak Supervision
Song Wang | Yushun Dong | Kaize Ding | Chen Chen | Jundong Li
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023

2022

doi dblp
Gray-Box Shilling Attack: An Adversarial Learning Approach
Zongwei Wang | Min Gao | Jundong Li | Junwei Zhang | Jiang Zhong
2022 Volume 13 Issue 5

doi dblp
Graph Minimally-supervised Learning
Kaize Ding | Jundong Li | Nitesh V. Chawla | Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp
Learning Fair Node Representations with Graph Counterfactual Fairness
Jing Ma | Ruocheng Guo | Mengting Wan | Longqi Yang | Aidong Zhang | Jundong Li
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp
Empowering Next POI Recommendation with Multi-Relational Modeling
Zheng Huang | Jing Ma | Yushun Dong | Natasha Zhang Foutz | Jundong Li
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

doi dblp
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
Jing Ma | Yushun Dong | Zheng Huang | Daniel Mietchen | Jundong Li
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

doi dblp
Unbiased Graph Embedding with Biased Graph Observations
Nan Wang | Lu Lin | Jundong Li | Hongning Wang
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

doi dblp
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong | Ninghao Liu | Brian Jalaian | Jundong Li
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

doi dblp
Geometric Graph Representation Learning via Maximizing Rate Reduction
Xiaotian Han | Zhimeng Jiang | Ninghao Liu | Qingquan Song | Jundong Li | Xia Hu
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

doi dblp
Toward User Engagement Optimization in 2D Presentation
Liang Wu | Mihajlo Grbovic | Jundong Li
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

doi dblp
Deconfounding with Networked Observational Data in a Dynamic Environment
Jing Ma | Ruocheng Guo | Chen Chen | Aidong Zhang | Jundong Li
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

doi dblp
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
Shangbin Feng | Herun Wan | Ningnan Wang | Jundong Li | Minnan Luo
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection
Shangbin Feng | Herun Wan | Ningnan Wang | Jundong Li | Minnan Luo
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
Fairness-Aware Unsupervised Feature Selection
Xiaoying Xing | Hongfu Liu | Chen Chen | Jundong Li
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
Junwei Zhang | Min Gao | Junliang Yu | Lei Guo | Jundong Li | Hongzhi Yin
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
REFORM: Error-Aware Few-Shot Knowledge Graph Completion
Song Wang | Xiao Huang | Chen Chen | Liang Wu | Jundong Li
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
Yushun Dong | Kaize Ding | Brian Jalaian | Shuiwang Ji | Jundong Li
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
Junliang Yu | Hongzhi Yin | Jundong Li | Qinyong Wang | Nguyen Quoc Viet Hung | Xiangliang Zhang
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2020

doi dblp
Learning Individual Causal Effects from Networked Observational Data
Ruocheng Guo | Jundong Li | Huan Liu
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

doi dblp
Graph Few-shot Learning with Attribute Matching
Ning Wang | Minnan Luo | Kaize Ding | Lingling Zhang | Jundong Li | Qinghua Zheng
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

doi dblp
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding | Jianling Wang | Jundong Li | Kai Shu | Chenghao Liu | Huan Liu
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

2019

doi dblp
Towards privacy preserving social recommendation under personalized privacy settings
Xuying Meng | Suhang Wang | Kai Shu | Jundong Li | Bo Chen | Huan Liu | Yujun Zhang
2019 Volume 22 Issue 6

doi dblp
Interactive Anomaly Detection on Attributed Networks
Kaize Ding | Jundong Li | Huan Liu
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

doi dblp
XBully: Cyberbullying Detection within a Multi-Modal Context
Lu Cheng | Jundong Li | Yasin N. Silva | Deborah L. Hall | Huan Liu
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

doi dblp
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
Yuening Li | Xiao Huang | Jundong Li | Mengnan Du | Na Zou
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

2018

doi dblp
Exploiting Multilabel Information for Noise-Resilient Feature Selection
Ling Jian | Jundong Li | Huan Liu
2018 Volume 9 Issue 5

doi dblp
Streaming Link Prediction on Dynamic Attributed Networks
Jundong Li | Kewei Cheng | Liang Wu | Huan Liu
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018

doi dblp
Exploring Expert Cognition for Attributed Network Embedding
Xiao Huang | Qingquan Song | Jundong Li | Xia Hu
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018

doi dblp
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation
Junliang Yu | Min Gao | Jundong Li | Hongzhi Yin | Huan Liu
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

doi dblp
Understanding and Predicting Delay in Reciprocal Relations
Jundong Li | Jiliang Tang | Yilin Wang | Yali Wan | Yi Chang | Huan Liu
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018

2017

doi dblp
Label Informed Attributed Network Embedding
Xiao Huang | Jundong Li | Xia Hu
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017

doi dblp
Attributed Network Embedding for Learning in a Dynamic Environment
Jundong Li | Harsh Dani | Xia Hu | Jiliang Tang | Yi Chang | Huan Liu
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

doi dblp
Understanding and Discovering Deliberate Self-harm Content in Social Media
Yilin Wang | Jiliang Tang | Jundong Li | Baoxin Li | Yali Wan | Clayton Mellina | Neil O'Hare | Yi Chang
Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017

2016

doi dblp
FeatureMiner: A Tool for Interactive Feature Selection
Kewei Cheng | Jundong Li | Huan Liu
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

2015

doi dblp
Unsupervised Streaming Feature Selection in Social Media
Jundong Li | Xia Hu | Jiliang Tang | Huan Liu
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015

doi dblp
Associative Classification with Statistically Significant Positive and Negative Rules
Jundong Li | Osmar R. Zaïane
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015