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2020 – today
- 2022
[j22]Yixiang Dong
, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng:
LookCom: Learning Optimal Network for Community Detection. IEEE Trans. Knowl. Data Eng. 34(2): 764-775 (2022)- [j21]Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng:
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 34(6): 2539-2552 (2022) - [j20]Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu:
Cross-Domain Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2406-2415 (2022) - [c77]Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li:
Contrastive Attributed Network Anomaly Detection with Data Augmentation. PAKDD (2) 2022: 444-457 - [c76]Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. WSDM 2022: 695-703 - [c75]Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu:
Graph Minimally-supervised Learning. WSDM 2022: 1620-1622 - [c74]Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu:
Geometric Graph Representation Learning via Maximizing Rate Reduction. WWW 2022: 1226-1237 - [c73]Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li:
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. WWW 2022: 1259-1269 - [c72]Nan Wang, Lu Lin, Jundong Li, Hongning Wang:
Unbiased Graph Embedding with Biased Graph Observations. WWW 2022: 1423-1433 - [c71]Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li:
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. WWW 2022: 2678-2686 - [i47]Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. CoRR abs/2201.03662 (2022) - [i46]Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng:
Robust Unsupervised Graph Representation Learning via Mutual Information Maximization. CoRR abs/2201.08557 (2022) - [i45]Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu:
Geometric Graph Representation Learning via Maximizing Rate Reduction. CoRR abs/2202.06241 (2022) - [i44]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs: A Survey. CoRR abs/2203.09308 (2022) - [i43]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang:
Self-Supervised Learning for Recommender Systems: A Survey. CoRR abs/2203.15876 (2022) - [i42]Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo:
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media. CoRR abs/2204.04046 (2022) - [i41]Yushun Dong, Jing Ma, Chen Chen, Jundong Li:
Fairness in Graph Mining: A Survey. CoRR abs/2204.09888 (2022) - [i40]Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li:
Empowering Next POI Recommendation with Multi-Relational Modeling. CoRR abs/2204.12288 (2022) - [i39]Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li:
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. CoRR abs/2205.02435 (2022) - [i38]Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang:
Towards Explanation for Unsupervised Graph-Level Representation Learning. CoRR abs/2205.09934 (2022) - [i37]Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr:
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. CoRR abs/2206.03426 (2022) - [i36]Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo:
TwiBot-22: Towards Graph-Based Twitter Bot Detection. CoRR abs/2206.04564 (2022) - [i35]Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu:
Benchmarking Node Outlier Detection on Graphs. CoRR abs/2206.10071 (2022) - [i34]Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li:
Task-Adaptive Few-shot Node Classification. CoRR abs/2206.11972 (2022) - [i33]Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li:
On Structural Explanation of Bias in Graph Neural Networks. CoRR abs/2206.12104 (2022) - 2021
- [j19]Xijun Liang, Xiaoxin Song, Kai Qi, Jundong Li, Jinyu Liu, Ling Jian:
Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams. IEEE Intell. Syst. 36(3): 14-22 (2021) - [j18]Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong:
Recommender systems based on generative adversarial networks: A problem-driven perspective. Inf. Sci. 546: 1166-1185 (2021) - [j17]Kefei Tu, Chen Chen, Chunyan Hou, Jing Yuan, Jundong Li, Xiaojie Yuan:
Rumor2vec: A rumor detection framework with joint text and propagation structure representation learning. Inf. Sci. 560: 137-151 (2021) - [j16]Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong:
Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. 63(1): 105-124 (2021) - [c70]Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li:
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. CIKM 2021: 392-401 - [c69]Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li:
REFORM: Error-Aware Few-Shot Knowledge Graph Completion. CIKM 2021: 1979-1988 - [c68]Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin:
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CIKM 2021: 2557-2567 - [c67]Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li:
Fairness-Aware Unsupervised Feature Selection. CIKM 2021: 3548-3552 - [c66]Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. CIKM 2021: 3808-3817 - [c65]Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. CIKM 2021: 4485-4494 - [c64]Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Multi-Cause Effect Estimation with Disentangled Confounder Representation. IJCAI 2021: 2790-2796 - [c63]Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li:
Individual Fairness for Graph Neural Networks: A Ranking based Approach. KDD 2021: 300-310 - [c62]Ji Gao, Xiao Huang, Jundong Li:
Unsupervised Graph Alignment with Wasserstein Distance Discriminator. KDD 2021: 426-435 - [c61]Chuxu Zhang, Jundong Li, Meng Jiang:
Data Efficient Learning on Graphs. KDD 2021: 4092-4093 - [c60]Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD 2021: 4145-4146 - [c59]Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li:
Deconfounding with Networked Observational Data in a Dynamic Environment. WSDM 2021: 166-174 - [c58]Liang Wu, Mihajlo Grbovic, Jundong Li:
Toward User Engagement Optimization in 2D Presentation. WSDM 2021: 1047-1055 - [c57]Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang:
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW 2021: 413-424 - [i32]Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang:
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. CoRR abs/2101.06448 (2021) - [i31]Yitong Li, Duoduo Liao, Jundong Li, Wenying Ji:
Automated Generation of Interorganizational Disaster Response Networks through Information Extraction. CoRR abs/2103.00287 (2021) - [i30]Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li:
Graph Neural Networks with Adaptive Frequency Response Filter. CoRR abs/2104.12840 (2021) - [i29]Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li:
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. CoRR abs/2106.01315 (2021) - [i28]Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li:
Fairness-Aware Unsupervised Feature Selection. CoRR abs/2106.02216 (2021) - [i27]Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu:
Weakly-supervised Graph Meta-learning for Few-shot Node Classification. CoRR abs/2106.06873 (2021) - [i26]Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. CoRR abs/2106.13088 (2021) - [i25]Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. CoRR abs/2106.13089 (2021) - [i24]Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li:
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. CoRR abs/2108.05233 (2021) - [i23]Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin:
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CoRR abs/2109.04200 (2021) - [i22]Nan Wang, Lu Lin, Jundong Li, Hongning Wang:
Unbiased Graph Embedding with Biased Graph Observations. CoRR abs/2110.13957 (2021) - 2020
- [j15]Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu:
A Survey of Learning Causality with Data: Problems and Methods. ACM Comput. Surv. 53(4): 75:1-75:37 (2020) - [j14]Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng:
Scalable attack on graph data by injecting vicious nodes. Data Min. Knowl. Discov. 34(5): 1363-1389 (2020) - [j13]Mingyang Lu, Zhenjiang Fan, Bin Xu, Lujun Chen, Xiao Zheng, Jundong Li, Taieb Znati, Qi Mi, Jingting Jiang:
Using machine learning to predict ovarian cancer. Int. J. Medical Informatics 141: 104195 (2020) - [j12]Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng:
Nonlinear feature selection on attributed networks. Neurocomputing 410: 161-173 (2020) - [j11]Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski:
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics. IEEE Trans. Vis. Comput. Graph. 26(1): 1075-1085 (2020) - [c56]Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu:
Tracking Disaster Footprints with Social Streaming Data. AAAI 2020: 370-377 - [c55]Yan Zhong, Xiao Huang, Jundong Li, Xia Hu:
Scalable Social Tie Strength Measuring. ASONAM 2020: 288-295 - [c54]Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM 2020: 295-304 - [c53]Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng:
Graph Few-shot Learning with Attribute Matching. CIKM 2020: 1545-1554 - [c52]Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng:
Unsupervised Hierarchical Feature Selection on Networked Data. DASFAA (3) 2020: 137-153 - [c51]Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. EMNLP (1) 2020: 4927-4936 - [c50]Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu:
Inductive Anomaly Detection on Attributed Networks. IJCAI 2020: 1288-1294 - [c49]Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. IJCAI 2020: 4534-4540 - [c48]Ruocheng Guo, Jundong Li, Huan Liu:
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. SDM 2020: 271-279 - [c47]Ruocheng Guo, Jundong Li, Huan Liu:
Learning Individual Causal Effects from Networked Observational Data. WSDM 2020: 232-240 - [i21]Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong:
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. CoRR abs/2003.02474 (2020) - [i20]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhance Social Recommendation with Adversarial Graph Convolutional Networks. CoRR abs/2004.02340 (2020) - [i19]Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng:
Scalable Attack on Graph Data by Injecting Vicious Nodes. CoRR abs/2004.13825 (2020) - [i18]Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CoRR abs/2006.12739 (2020) - [i17]Lei Cai, Jundong Li, Jie Wang, Shuiwang Ji:
Line Graph Neural Networks for Link Prediction. CoRR abs/2010.10046 (2020) - [i16]Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. CoRR abs/2011.00387 (2020)
2010 – 2019
- 2019
- [b1]Jundong Li:
Learning with Attributed Networks: Algorithms and Applications. Arizona State University, Tempe, USA, 2019 - [j10]Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang:
Towards privacy preserving social recommendation under personalized privacy settings. World Wide Web 22(6): 2853-2881 (2019) - [c46]Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu:
Multi-level network embedding with boosted low-rank matrix approximation. ASONAM 2019: 49-56 - [c45]Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CIKM 2019: 2233-2236 - [c44]Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu:
Anomaly Detection in Time-Evolving Attributed Networks. DASFAA (3) 2019: 235-239 - [c43]Jianwen Yin, Chenghao Liu, Jundong Li, BingTian Dai, Yun-chen Chen, Min Wu, Jianling Sun:
Online Collaborative Filtering with Implicit Feedback. DASFAA (2) 2019: 433-448 - [c42]Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng:
Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search. DASFAA (1) 2019: 571-586 - [c41]Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang:
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM 2019: 768-777 - [c40]Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu:
PI-Bully: Personalized Cyberbullying Detection with Peer Influence. IJCAI 2019: 5829-5835 - [c39]Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu:
InterSpot: Interactive Spammer Detection in Social Media. IJCAI 2019: 6509-6511 - [c38]Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. IJCNN 2019: 1-8 - [c37]Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu:
Adaptive Unsupervised Feature Selection on Attributed Networks. KDD 2019: 92-100 - [c36]Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu:
Learning From Networks: Algorithms, Theory, and Applications. KDD 2019: 3221-3222 - [c35]Kaize Ding, Jundong Li, Rohit Bhanushali, Huan Liu:
Deep Anomaly Detection on Attributed Networks. SDM 2019: 594-602 - [c34]Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
Robust Factorization Machine: A Doubly Capped Norms Minimization. SDM 2019: 738-746 - [c33]Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu:
XBully: Cyberbullying Detection within a Multi-Modal Context. WSDM 2019: 339-347 - [c32]Kaize Ding, Jundong Li, Huan Liu:
Interactive Anomaly Detection on Attributed Networks. WSDM 2019: 357-365 - [i15]Ruocheng Guo, Jundong Li, Huan Liu:
Learning Individual Treatment Effects from Networked Observational Data. CoRR abs/1906.03485 (2019) - [i14]Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski:
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics. CoRR abs/1907.07296 (2019) - [i13]Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. CoRR abs/1908.03848 (2019) - [i12]Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CoRR abs/1908.03849 (2019) - [i11]Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu:
Graph Neural Networks with High-order Feature Interactions. CoRR abs/1908.07110 (2019) - [i10]Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang:
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. CoRR abs/1909.03529 (2019) - [i9]Ruocheng Guo, Jundong Li, Huan Liu:
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. CoRR abs/1912.10536 (2019) - 2018
- [j9]Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu:
Feature Selection: A Data Perspective. ACM Comput. Surv. 50(6): 94:1-94:45 (2018) - [j8]Ling Jian, Jundong Li, Huan Liu:
Toward online node classification on streaming networks. Data Min. Knowl. Discov. 32(1): 231-257 (2018) - [j7]Ling Jian, Jundong Li, Huan Liu:
Exploiting Multilabel Information for Noise-Resilient Feature Selection. ACM Trans. Intell. Syst. Technol. 9(5): 52:1-52:23 (2018) - [j6]Xiao Huang, Jundong Li, Na Zou, Xia Hu:
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks. ACM Trans. Knowl. Discov. Data 12(6): 70:1-70:24 (2018) - [c31]Jundong Li, Liang Wu, Harsh Dani, Huan Liu:
Unsupervised Personalized Feature Selection. AAAI 2018: 3514-3521 - [c30]Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang:
Personalized Privacy-Preserving Social Recommendation. AAAI 2018: 3796-3803 - [c29]Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu:
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. CIKM 2018: 357-366 - [c28]Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu:
Interactive Unknowns Recommendation in E-Learning Systems. ICDM 2018: 497-506 - [c27]Ruocheng Guo, Jundong Li, Huan Liu:
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process. IJCAI 2018: 2191-2197 - [c26]Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng:
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. IJCAI 2018: 3513-3519 - [c25]Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu:
On Interpretation of Network Embedding via Taxonomy Induction. KDD 2018: 1812-1820 - [c24]Jundong Li, Chen Chen, Hanghang Tong, Huan Liu:
Multi-Layered Network Embedding. SDM 2018: 684-692 - [c23]Liang Wu, Jundong Li, Fred Morstatter, Huan Liu:
Toward Relational Learning with Misinformation. SDM 2018: 711-719 - [c22]Xiao Huang, Qingquan Song, Jundong Li, Xia Hu:
Exploring Expert Cognition for Attributed Network Embedding. WSDM 2018: 270-278 - [c21]Jundong Li, Kewei Cheng, Liang Wu, Huan Liu:
Streaming Link Prediction on Dynamic Attributed Networks. WSDM 2018: 369-377 - [c20]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. WWW 2018: 1643-1652 - [i8]Jundong Li, Liang Wu, Huan Liu:
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation. CoRR abs/1808.08627 (2018) - [i7]Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu:
A Survey of Learning Causality with Data: Problems and Methods. CoRR abs/1809.09337 (2018) - [i6]Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu:
Online Newton Step Algorithm with Estimated Gradient. CoRR abs/1811.09955 (2018) - 2017
- [j5]Jundong Li, Huan Liu:
Challenges of Feature Selection for Big Data Analytics. IEEE Intell. Syst. 32(2): 9-15 (2017) - [j4]Jundong Li, Osmar R. Zaïane:
Exploiting statistically significant dependent rules for associative classification. Intell. Data Anal. 21(5): 1155-1172 (2017) - [j3]Ling Jian, Jundong Li, Shihua Luo:
Exploiting Expertise Rules for Statistical Data-Driven Modeling. IEEE Trans. Ind. Electron. 64(11): 8647-8656 (2017) - [j2]Ling Jian, Shuqian Shen, Jundong Li, Xijun Liang, Lei Li:
Budget Online Learning Algorithm for Least Squares SVM. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2076-2087 (2017) - [c19]Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu:
Unsupervised Sentiment Analysis with Signed Social Networks. AAAI 2017: 3429-3435 - [c18]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CIKM 2017: 387-396