| Solving inverse problems with latent diffusion models via hard data consistency B Song, SM Kwon, Z Zhang, X Hu, Q Qu, L Shen International Conference on Learning Representations (ICLR 2024), 2023 | 78 | 2023 |
| SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction Y Xiao, Z Zhang, Y Mao, C Yang, J Han Proceedings of the 2022 Conference of the North American Chapter of the …, 2021 | 62 | 2021 |
| paper2repo: Github repository recommendation for academic papers H Shao, D Sun, J Wu, Z Zhang, A Zhang, S Yao, S Liu, T Wang, C Zhang, ... Proceedings of The Web Conference 2020, 629-639, 2020 | 37 | 2020 |
| Distributed-Memory Tensor Completion for Generalized Loss Functions in Python using New Sparse Tensor Kernels N Singh, Z Zhang, X Wu, N Zhang, S Zhang, E Solomonik Journal of Parallel and Distributed Computing 169, 269-285, 2022 | 19 | 2022 |
| PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning W Hu, Y Yuan, Z Zhang, A Nitta, K Cao, V Kocijan, J Leskovec, M Fey NeurIPS 2024 Third Table Representation Learning Workshop, 2024 | 15 | 2024 |
| CRAB: Cross-platfrom agent benchmark for multi-modal embodied language model agents T Xu, L Chen, DJ Wu, Y Chen, Z Zhang, X Yao, Z Xie, Y Chen, S Liu, ... NeurIPS 2024 Workshop on Open-World Agents, 2024 | 13* | 2024 |
| Relbench: A benchmark for deep learning on relational databases J Robinson, R Ranjan, W Hu, K Huang, J Han, A Dobles, M Fey, ... Advances in Neural Information Processing Systems 37, 21330-21341, 2024 | 9 | 2024 |
| Non-local attention learning on large heterogeneous information networks Y Xiao, Z Zhang, C Yang, C Zhai 2019 IEEE international conference on big data (big data), 978-987, 2019 | 7 | 2019 |
| Link Prediction with Graph Neural Networks and Knowledge Extraction Z Zhang, D Ma, X Li URL: https://cs230.stanford.edu/projects_spring_2020/reports/38854344.pdf, 2020 | 2* | 2020 |
| CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation B Song, Z Zhang, Z Luo, J Hu, W Yuan, J Jia, Z Tang, G Wang, L Shen arXiv preprint arXiv:2502.04670, 2025 | | 2025 |
| ContextGNN: Beyond Two-Tower Recommendation Systems Y Yuan, Z Zhang, X He, A Nitta, W Hu, D Wang, M Shah, S Huang, ... International Conference on Learning Representations (ICLR), 2025, 2024 | | 2024 |
| Deepsnap https://github.com/snap-stanford/deepsnap, 0 | | |
Bowen SongResearcher確認したメール アドレス: umich.edu