| Prospects and applications of on-chip lasers Z Zhou*, X Ou*, Y Fang*, E Alkhazraji*, R Xu, Y Wan, JE Bowers Elight 3 (1), 1-25, 2023 | 179 | 2023 |
| Advances in halide perovskite memristor from lead-based to lead-free materials Y Fang, S Zhai, L Chu, J Zhong ACS Applied Materials & Interfaces 13 (15), 17141-17157, 2021 | 94 | 2021 |
| Masked Spiking Transformer Z Wang*, Y Fang*, J Cao, Q Zhang, Z Wang, R Xu ICCV 2023, 1761-1771, 2023 | 51* | 2023 |
| Recent progress of neuromorphic computing based on silicon photonics: Electronic–photonic Co-design, device, and architecture B Xu, Y Huang, Y Fang, Z Wang, S Yu, R Xu Photonics 9 (10), 698, 2022 | 21 | 2022 |
| Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba H Ren, Y Zhou, J Zhu, H Fu, Y Huang, X Lin, Y Fang, F Ma, H Yu, ... arXiv preprint arXiv:2405.06116, 2024 | 5 | 2024 |
| Spiking Wavelet Transformer Y Fang*, Z Wang*, L Zhang, J Cao, H Chen, R Xu ECCV 2024, 2024 | 3 | 2024 |
| Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks Z Wang*, Y Fang*, J Cao, H Ren, R Xu AAAI 2025 (Oral), 2024 | 2* | 2024 |
| Frequency-aware Event Cloud Network H Ren, F Ma, X Lin, Y Fang, H Huang, Y Huang, Y Zhou, H Fu, Z Yang, ... arXiv preprint arXiv:2412.20803, 2024 | | 2024 |
| Memristive blinking neuron enabling dense and scalable photonically-linked neural network Y Zhou*, Y Fang*, R Gisler, H Ren, H Fu, Z Ma, Y Huang, R Xu, ... | | 2024 |
| Optical Spiking Neurons Enable High-Speed and Energy-Efficient Optical Neural Networks B Xu*, Z Huang*, Y Fang, X Wang, B Cheng, S Yu, Z Wang, R Xu arXiv preprint arXiv:2409.05726, 2024 | | 2024 |
| Reuse and Blend: Energy-Efficient Optical Neural Network Enabled by Weight Sharing B Xu*, Y Fang*, S Yu, R Xu ASP-DAC 2025, 2024 | | 2024 |
| On-Chip Quantum Dot Lasers Driven High-Speed Optical Neural Networks Z Zhou, Y Fang, X Ou, W He, X Wu, R Xu, DZ Pan, Y Wan 2024 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2024 | | 2024 |
| Recursive Cleaning for Large-scale Protein Data via Multimodal Learning Z Jiang, S Zhang, J Cao, Q Zhang, S Liu, Y Fang, L Zhang, R Qing, R Xu bioRxiv, 2024.10. 08.617190, 2024 | | 2024 |
Renjing XuHKUST(GZ)hkust-gz.edu.cn üzerinde doğrulanmış e-posta adresine sahip