| Learning interest-oriented universal user representation via self-supervision Q Sun, J Gu, XX Xu, R Xu, K Liu, B Yang, H Liu, H Xu ACM MM 2022, 7270-7278, 2022 | 9* | 2022 |
| Contrastive knowledge amalgamation for unsupervised image classification S Gao, Y Fu, K Liu, Y Han International Conference on Artificial Neural Networks, 192-204, 2023 | 8 | 2023 |
| -Equivariant Vision Transformer R Xu, K Yang, K Liu, F He UAI 2023, 2023 | 8 | 2023 |
| A Deep‐Learning Approach for Low‐Spatial‐Coherence Imaging in Computer‐Generated Holography X Tong, R Xu, K Liu, L Zhao, W Zhu, D Zhao Advanced Photonics Research 4 (1), 2200264, 2023 | 8 | 2023 |
| Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling B Yang, J Gu, K Liu, X Xu, R Xu, Q Sun, H Liu SIGKDD 2023, 2908-2917, 2023 | 7* | 2023 |
| S2SNet: A Pretrained Neural Network for Superconductivity Discovery K Liu, K Yang, J Zhang, R Xu IJCAI 2022, 5101--5107, 2022 | 7 | 2022 |
| Pcvae: A physics-informed neural network for determining the symmetry and geometry of crystals K Liu, S Gao, K Yang, Y Han 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 4 | 2023 |
| Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning S Gao, Y Fu, K Liu, W Gao, H Xu, J Wu, Y Han Information Sciences 669, 120564, 2024 | 2 | 2024 |
| A periodicity aware transformer for crystal property prediction K Liu, K Yang, S Gao Neural Computing and Applications 36 (12), 6827-6838, 2024 | 2 | 2024 |
| Floating Anchor Diffusion Model for Multi-motif Scaffolding K Liu, W Mao, S Shen, X Jiao, Z Sun, H Chen, C Shen ICML 2024, 2024 | 1 | 2024 |
| Low-Data Drug Design with Few-Shot Generative Domain Adaptation K Liu, Y Han, Z Gong, H Xu Bioengineering 10 (9), 1104, 2023 | 1 | 2023 |
| KA ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation S Gao, Y Fu, K Liu, H Xu, J Wu MICCAI2024 CARE, 2024 | | 2024 |
| Boost Your Crystal Model with Denoising Pre-training S Shen, K Liu, M Zhu, H Chen ICML 2024 AI for Science Workshop, 2024 | | 2024 |