| Towards real-time photorealistic 3D holography with deep neural networks L Shi, B Li, C Kim, P Kellnhofer, W Matusik Nature 591 (7849), 234-239, 2021 | 530 | 2021 |
| Learning human–environment interactions using conformal tactile textiles Y Luo, Y Li, P Sharma, W Shou, K Wu, M Foshey, B Li, T Palacios, ... Nature Electronics 4 (3), 193-201, 2021 | 303 | 2021 |
| End-to-end learning of 3D phase-only holograms for holographic display L Shi, B Li, W Matusik Light: Science & Applications 11 (1), 247, 2022 | 118 | 2022 |
| Learning to fly: computational controller design for hybrid uavs with reinforcement learning J Xu, T Du, M Foshey, B Li, B Zhu, A Schulz, W Matusik ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019 | 91 | 2019 |
| Match: Differentiable material graphs for procedural material capture L Shi, B Li, M Hašan, K Sunkavalli, T Boubekeur, R Mech, W Matusik ACM Transactions on Graphics (TOG) 39 (6), 1-15, 2020 | 83 | 2020 |
| Physical realization of elastic cloaking with a polar material X Xu, C Wang, W Shou, Z Du, Y Chen, B Li, W Matusik, N Hussein, ... Physical review letters 124 (11), 114301, 2020 | 75 | 2020 |
| Data-efficient graph grammar learning for molecular generation M Guo, V Thost, B Li, P Das, J Chen, W Matusik arXiv preprint arXiv:2203.08031, 2022 | 43 | 2022 |
| Noise-resilient reconstruction of panoramas and 3d scenes using robot-mounted unsynchronized commodity rgb-d cameras S Yang, B Li, YP Cao, H Fu, YK Lai, L Kobbelt, SM Hu ACM Transactions on Graphics (TOG) 39 (5), 1-15, 2020 | 24 | 2020 |
| Heterofusion: Dense scene reconstruction integrating multi-sensors S Yang, B Li, M Liu, YK Lai, L Kobbelt, SM Hu IEEE transactions on visualization and computer graphics 26 (11), 3217-3230, 2019 | 20 | 2019 |
| Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs B Li, B Deng, W Shou, TH Oh, Y Hu, Y Luo, L Shi, W Matusik Science Advances 10 (5), eadk4284, 2024 | 19* | 2024 |
| Interactive co-design of form and function for legged robots using the adjoint method R Desai, B Li, Y Yuan, S Coros arXiv preprint arXiv:1801.00385, 2018 | 15 | 2018 |
| Designing composites with target effective young’s modulus using reinforcement learning AE Gongora, S Mysore, B Li, W Shou, W Matusik, EF Morgan, KA Brown, ... Proceedings of the 6th annual ACM symposium on computational fabrication, 1-11, 2021 | 10 | 2021 |
| End-to-end procedural material capture with proxy-free mixed-integer optimization B Li, L Shi, W Matusik ACM Transactions on Graphics (TOG) 42 (4), 1-15, 2023 | 9 | 2023 |
| Learning human–environment interactions using conformal tactile textiles. Nat. Electron. 4, 193–201 Y Luo, Y Li, P Sharma, W Shou, K Wu, M Foshey, B Li, T Palacios, ... | 5 | 2021 |
| AutODEx: Automated Optimal Design of Experiments Platform with Data-and Time-Efficient Multi-Objective Optimization Y Tian, PV Konakovic, B Li, A Zuniga, M Foshey, T Erps, W Matusik, ... NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023 | 3* | 2023 |
| Computational discovery of microstructure designs W Shou, B Li, W Matusik US Patent App. 17/749,361, 2022 | 1 | 2022 |
| VLMaterial: Procedural Material Generation with Large Vision-Language Models B Li, R Wu, A Solar-Lezama, C Zheng, L Shi, B Bickel, W Matusik arXiv preprint arXiv:2501.18623, 2025 | | 2025 |
| Procedural Material Generation with Reinforcement Learning B Li, Y Hu, P Guerrero, M Hasan, L Shi, V Deschaintre, W Matusik ACM Transactions on Graphics (TOG) 43 (6), 1-14, 2024 | | 2024 |
| Computational Discovery of Microstructured Composites with Optimized Trade-Off between Strength and Toughness B Li Massachusetts Institute of Technology, 2021 | | 2021 |
Wojciech MatusikMITVerified email at csail.mit.edu
