| Cert: Contrastive self-supervised learning for language understanding H Fang, S Wang, M Zhou, J Ding, P Xie TACL, 2020 | 379 | 2020 |
| Graph neural networks with adaptive residual X Liu, J Ding, W Jin, H Xu, Y Ma, Z Liu, J Tang NeurIPS 2021, 2021 | 73 | 2021 |
| Empowering graph representation learning with test-time graph transformation W Jin, T Zhao, J Ding, Y Liu, J Tang, N Shah ICLR 2023, 2022 | 65 | 2022 |
| Graph Neural Networks for Multimodal Single-Cell Data Integration H Wen*, J Ding*, W Jin*, Y Wang*, Y Xie, J Tang KDD 2022, 2022 | 62 | 2022 |
| Flagit: A system for minimally supervised human trafficking indicator mining M Kejriwal, J Ding, R Shao, A Kumar, P Szekely NeurIPS workshop 2017, 2017 | 30 | 2017 |
| Deep learning in single-cell analysis D Molho*, J Ding*, W Tang*, Z Li, H Wen, Y Wang, J Venegas, W Jin, ... ACM TIST, 2022 | 26 | 2022 |
| Copyright protection in generative ai: A technical perspective J Ren, H Xu, P He, Y Cui, S Zeng, J Zhang, H Wen, J Ding, P Huang, ... arXiv preprint arXiv:2402.02333, 2024 | 25 | 2024 |
| Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? J Li, H Shomer, J Ding, Y Wang, Y Ma, N Shah, J Tang, D Yin ACL 2023, 2023 | 21 | 2023 |
| An experimental study of the effects of position bias on emotion causeextraction J Ding, M Kejriwal arXiv preprint arXiv:2007.15066, 2020 | 17 | 2020 |
| DANCE: A deep learning library and benchmark platform for single-cell analysis J Ding, R Liu, H Wen, W Tang, Z Li, J Venegas, R Su, D Molho, W Jin, ... Genome Biology 25 (1), 72, 2024 | 16* | 2024 |
| Single-Cell Multimodal Prediction via Transformers W Tang, H Wen, R Liu, J Ding, W Jin, Y Xie, H Liu, J Tang CIKM 2023, 2023 | 12 | 2023 |
| Sentiment analysis of chinese micro-blog based on classification and rich features J Ding, Y Dong, T Gao, Z Zhang, Y Liu 2016 13th Web Information Systems and Applications Conference (WISA), 61-66, 2016 | 10 | 2016 |
| MMedAgent: Learning to Use Medical Tools with Multi-modal Agent B Li, T Yan, Y Pan, Z Xu, J Luo, R Ji, J Ding, S Liu, H Dong, Z Lin, Y Wang EMNLP 2024, 2024 | 9 | 2024 |
| CellPLM: pre-training of cell language model beyond single cells H Wen, W Tang, X Dai, J Ding, W Jin, Y Xie, J Tang ICLR 2024, 2023 | 9 | 2023 |
| Polaris: A Safety-focused LLM Constellation Architecture for Healthcare S Mukherjee, P Gamble, MS Ausin, N Kant, K Aggarwal, N Manjunath, ... arXiv preprint arXiv:2403.13313, 2024 | 8 | 2024 |
| Single cells are spatial tokens: Transformers for spatial transcriptomic data imputation H Wen, W Tang, W Jin, J Ding, R Liu, X Dai, F Shi, L Shang, H Liu, Y Xie arXiv preprint arXiv:2302.03038, 2023 | 7 | 2023 |
| SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology J Ding, L Li, Q Lu, J Venegas, Y Wang, L Wu, W Jin, H Wen, R Liu, ... Journal of Computational Biology 31 (9), 871-885, 2024 | 4* | 2024 |
| 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 |
| Tell me how to survey: literature review made simple with automatic reading path generation J Ding, T Xiang, Z Ou, W Zuo, R Zhao, C Lin, Y Zheng, B Liu 2022 IEEE 38th international conference on data engineering (ICDE), 3426-3438, 2022 | 3 | 2022 |
| Graph Contrastive Learning of Subcellular-resolution Spatial Transcriptomics Improves Cell Type Annotation and Reveals Critical Molecular Pathways Q Lu*, J Ding*, L Li, Y Chang, J Tang, X Qiu bioRxiv, 2024.03. 08.584192, 2024 | 2 | 2024 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityAdresă de e-mail confirmată pe msu.edu
