| Deep Graph Representation Learning and Optimization for Influence Maximization C Ling, J Jiang, J Wang, M Thai, L Xue, J Song, M Qiu, L Zhao ICML 2023, 2023 | 54 | 2023 |
| Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ... https://arxiv.org/abs/2305.18703, 2023 | 35* | 2023 |
| Domain specialization as the key to make large language models disruptive: A comprehensive survey C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ... arXiv preprint arXiv:2305.18703 2305, 2023 | 27 | 2023 |
| TG-GAN: Continuous-time temporal graph deep generative models with time-validity constraints L Zhang, L Zhao, S Qin, D Pfoser, C Ling TheWebConf (WWW) 2021, 2021 | 26* | 2021 |
| Source localization of graph diffusion via variational autoencoders for graph inverse problems C Ling, J Jiang, J Wang, Z Liang KDD 2022, 2022 | 25 | 2022 |
| Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks G Bai, C Ling, L Zhao ICLR 2023, 2023 | 21 | 2023 |
| Deep generation of heterogeneous networks C Ling, C Yang, L Zhao ICDM 2021, 2021 | 14 | 2021 |
| Beyond efficiency: A systematic survey of resource-efficient large language models G Bai, Z Chai, C Ling, S Wang, J Lu, N Zhang, T Shi, Z Yu, M Zhu, ... arXiv preprint arXiv:2401.00625, 2024 | 13 | 2024 |
| A survey on knowledge graphs for healthcare: Resources, applications, and promises H Cui, J Lu, S Wang, R Xu, W Ma, S Yu, Y Yu, X Kan, C Ling, J Ho, ... arXiv preprint arXiv:2306.04802, 2023 | 10* | 2023 |
| Nestpp: Modeling thread dynamics in online discussion forums C Ling, G Tong, M Chen HyperText 2020, 2020 | 9 | 2020 |
| Knowledge-enhanced neural machine reasoning: A review T Chowdhury, C Ling, X Zhang, X Zhao, G Bai, J Pei, H Chen, L Zhao arXiv preprint arXiv:2302.02093, 2023 | 8 | 2023 |
| Motif-guided heterogeneous graph deep generation C Ling, C Yang, L Zhao Knowledge and Information Systems 65 (7), 3099-3124, 2023 | 7 | 2023 |
| STGEN: Deep Continuous-time Spatiotemporal Graph Generation C Ling, H Cao, L Zhao ECML-PKDD 2022, 2022 | 6 | 2022 |
| DeepGAR: Deep Graph Learning for Analogical Reasoning C Ling, T Chowdhury, J Jiang, J Wang, X Zhang, H Chen, L Zhao ICDM 2022, 2022 | 5 | 2022 |
| Knowledge-enhanced Prompt for Open-domain Commonsense Reasoning C Ling, X Zhang, X Zhao, Y Wu, Y Liu, W Cheng, H Chen, L Zhao UDM-AAAI 2022, 2022 | 5 | 2022 |
| Improving open information extraction with large language models: A study on demonstration uncertainty C Ling, X Zhao, X Zhang, Y Liu, W Cheng, H Wang, Z Chen, T Osaki, ... ICLR R2FM 2024, 2023 | 4 | 2023 |
| Open-ended Commonsense Reasoning with Unrestricted Answer Scope C Ling, X Zhang, X Zhao, Y Liu, W Cheng, T Osaki, K Matsuda, H Chen, ... EMNLP 2023, 2023 | 3* | 2023 |
| Saliency-Augmented Memory Completion for Continual Learning G Bai, C Ling, Y Gao, L Zhao SDM 2023, 2023 | 3 | 2023 |
| On Forecasting Dynamics in Online Discussion Forums C Ling, D Cui, G Tong, J Zhu ICME 2021, 2021 | 3* | 2021 |
| Deep Graph Representation Learning Influence Maximization with Accelerated Inference T Chowdhury, C Ling, J Jiang, J Wang, MT Thai, L Zhao Available at SSRN 4663083, 2024 | 2 | 2024 |
Liang ZhaoEmory UniversityVerified email at emory.edu
