| Detecting suicidal ideation in Chinese microblogs with psychological lexicons X Huang, L Zhang, D Chiu, T Liu, X Li, T Zhu 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 …, 2014 | 114 | 2014 |
| Using linguistic features to estimate suicide probability of Chinese microblog users L Zhang, X Huang, T Liu, A Li, Z Chen, T Zhu Human Centered Computing: First International Conference, HCC 2014, Phnom …, 2015 | 110 | 2015 |
| Acoustic differences between healthy and depressed people: a cross-situation study J Wang, L Zhang, T Liu, W Pan, B Hu, T Zhu BMC psychiatry 19, 1-12, 2019 | 92 | 2019 |
| Bridging the gap between spatial and spectral domains: A survey on graph neural networks Z Chen, F Chen, L Zhang, T Ji, K Fu, L Zhao, F Chen, L Wu, C Aggarwal, ... arXiv preprint arXiv:2002.11867, 2020 | 79* | 2020 |
| Topic model for identifying suicidal ideation in chinese microblog X Huang, X Li, L Zhang, T Liu, D Chiu, T Zhu Proceedings of the 29th pacific asia conference on language, information and …, 2015 | 58 | 2015 |
| 社交网络用户的人格分析与预测 张磊， 陈贞翔， 杨波 计算机学报 37 (8), 1877-1894, 2014 | 19 | 2014 |
| Social media based simulation models for understanding disease dynamics T Hua, CK Reddy, L Zhang, L Wang, L Zhao, CT Lu, N Ramakrishnan Proceedings of the Twenty-Seventh International Joint Conference on …, 2018 | 13 | 2018 |
| Predicting the trends of social events on Chinese social media Y Zhou, L Zhang, X Liu, Z Zhang, S Bai, T Zhu Cyberpsychology, Behavior, and Social Networking 20 (9), 533-539, 2017 | 13 | 2017 |
| Deep graph learning for circuit deobfuscation Z Chen, L Zhang, G Kolhe, HM Kamali, S Rafatirad, ... Frontiers in big Data 4, 608286, 2021 | 11 | 2021 |
| Granger causal inference for interpretable traffic prediction L Zhang, K Fu, T Ji, CT Lu 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 8 | 2022 |
| Twitter bot identification: An anomaly detection approach L Alkulaib, L Zhang, Y Sun, CT Lu 2022 IEEE International Conference on Big Data (Big Data), 3577-3585, 2022 | 7 | 2022 |
| Measurement of step angle for quantifying the gait impairment of Parkinson’s disease by wearable sensors: controlled study J Wang, D Gong, H Luo, W Zhang, L Zhang, H Zhang, J Zhou, S Wang JMIR mHealth and uHealth 8 (3), e16650, 2020 | 6 | 2020 |
| HateNet: A graph convolutional network approach to hate speech detection C Duong, L Zhang, CT Lu 2022 IEEE International Conference on Big Data (Big Data), 5698-5707, 2022 | 5 | 2022 |
| Situation-Based Interpretable Learning for Personality Prediction in Social Media L Zhang, L Zhao, X Zhang, W Kong, Z Sheng, CT Lu 2018 IEEE International Conference on Big Data (Big Data), 1554-1562, 2018 | 4 | 2018 |
| Forecasting high-risk areas of covid-19 infection through socioeconomic and static spatial analysis A Alhamadani, S Sarkar, L Zhang, L Alkulaib, CT Lu 2021 IEEE International Conference on Big Data (Big Data), 4313-4322, 2021 | 3 | 2021 |
| Unifying Spectral and Spatial Graph Neural Networks Z Chen, L Zhang, L Zhao Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
| Network Interdiction Goes Neural L Zhang, Z Chen, CT Lu, L Zhao arXiv preprint arXiv:2405.16409, 2024 | | 2024 |
| Infinitely Deep Graph Transformation Networks L Zhang, Q Zhang, Z Chen, Y Sun, CT Lu, L Zhao 2023 IEEE International Conference on Data Mining (ICDM), 778-787, 2023 | | 2023 |
| Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation L Zhang, Z Chen, CT Lu, L Zhao Frontiers in big Data 6, 1274135, 2023 | | 2023 |
| From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract) L Zhang, Z Chen, CT Lu, L Zhao Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13111 …, 2022 | | 2022 |