| Exploring the potential of large language models (llms) in learning on graphs Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ... ACM SIGKDD Explorations Newsletter 25 (2), 42-61, 2024 | 272 | 2024 |
| Generative Diffusion Models on Graphs: Methods and Applications W Fan, C Liu, Y Liu, J Li, H Li, H Liu, J Tang, Q Li Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 79* | 2023 |
| Large Language Models for Education: A Survey and Outlook S Wang, T Xu, H Li, C Zhang, J Liang, J Tang, PS Yu, Q Wen arXiv preprint arXiv:2403.18105, 2024 | 59 | 2024 |
| Learning Fine-grained Cross Modality Excitement for Speech Emotion Recognition H Li, W Ding, Z Wu, Z Liu The Interspeech Conference, 2021 (INTERSPEECH 2021), 2020 | 49 | 2020 |
| Multimodal learning for classroom activity detection H Li, Y Kang, W Ding, S Yang, S Yang, GY Huang, Z Liu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 40 | 2020 |
| Mathematical word problem generation from commonsense knowledge graph and equations T Liu, Q Fang, W Ding, H Li, Z Wu, Z Liu The 2021 Conference on Empirical Methods in Natural Language Processing, 2020 | 37 | 2020 |
| Identifying at-risk K-12 students in multimodal online environments: a machine learning approach H Li, W Ding, Z Liu The 13th International Conference on Educational Data Mining (EDM 2020), 2020 | 27 | 2020 |
| CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations H Li, Y Kang, T Liu, W Ding, Z Liu The 2021 Conference on Empirical Methods in Natural Language Processing, 2021 | 20 | 2021 |
| Bringing Generative AI to Adaptive Learning in Education H Li, T Xu, C Zhang, E Chen, J Liang, X Fan, H Li, J Tang, Q Wen arXiv preprint arXiv:2402.14601, 2024 | 19 | 2024 |
| A multimodal alerting system for online class quality assurance J Chen, H Li, W Wang, W Ding, GY Huang, Z Liu Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 19 | 2019 |
| Siamese neural networks for class activity detection H Li, Z Wang, J Tang, W Ding, Z Liu Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 14 | 2020 |
| Self-supervised audio-and-text pre-training with extremely low-resource parallel data Y Kang, T Liu, H Li, Y Hao, W Ding Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10875 …, 2022 | 9 | 2022 |
| Content Knowledge Identification with Multi-agent Large Language Models (LLMs) K Yang, Y Chu, T Darwin, A Han, H Li, H Wen, Y Copur-Gencturk, J Tang, ... International Conference on Artificial Intelligence in Education, 284-292, 2024 | 7 | 2024 |
| An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms J Chen, H Li, W Ding, Z Liu International Conference on Artificial Intelligence in Education, 104-108, 2021 | 7 | 2021 |
| Automate Knowledge Concept Tagging on Math Questions with LLMs H Li, T Xu, J Tang, Q Wen arXiv preprint arXiv:2403.17281, 2024 | 5 | 2024 |
| Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models Y Hao, H Li, W Ding, Z Wu, J Tang, R Luckin, Z Liu International Conference on Artificial Intelligence in Education, 183-189, 2021 | 5 | 2021 |
| Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever H Li, T Xu, J Tang, Q Wen arXiv preprint arXiv:2406.13885, 2024 | 4 | 2024 |
| Are Large Language Models (LLMs) Good Social Predictors? K Yang, H Li, H Wen, TQ Peng, J Tang, H Liu arXiv preprint arXiv:2402.12620, 2024 | 4 | 2024 |
| Graph-level Representation Learning with Joint-Embedding Predictive Architectures G Skenderi, H Li, J Tang, M Cristani arXiv preprint arXiv:2309.16014, 2023 | 4 | 2023 |
| A general single-cell analysis framework via conditional diffusion generative models W Tang, R Liu, H Wen, X Dai, J Ding, H Li, W Fan, Y Xie, J Tang bioRxiv, 2023.10. 13.562243, 2023 | 4 | 2023 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State Universitymsu.edu의 이메일 확인됨