Proof of vote: A high-performance consensus protocol based on vote mechanism & consortium blockchain K Li, H Li, H Hou, K Li, Y Chen 2017 IEEE 19th International Conference on High Performance Computing and …, 2017 | 166 | 2017 |
Toward accurate and realistic outfits visualization with attention to details K Li, MJ Chong, J Zhang, J Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 39 | 2021 |
Determining consensus in a decentralized domain name system H Li, J Wu, K Li, P Yi, F Zhu, K Xu, X Zhang, M Chen, H Wang, S Chen, ... US Patent 10,382,388, 2019 | 35 | 2019 |
ConsortiumDNS: A distributed domain name service based on consortium chain X Wang, K Li, H Li, Y Li, Z Liang 2017 IEEE 19th International Conference on High Performance Computing and …, 2017 | 35 | 2017 |
Systems and methods for managing top-level domain names using consortium blockchain H Li, X Wang, Z Lin, J Wu, X Si, K Li, X Yang, H Wang US Patent 10,178,069, 2019 | 32 | 2019 |
Indexing a multi-layer blockchain system H Li, LI Haopeng, H Ma, H Wang, P Yi, K Li, X Yang US Patent App. 15/997,726, 2018 | 31 | 2018 |
Blockchain-based domain name resolution system H Li, H Ma, LI Haopeng, Z Huang, X Yang, K Li, H Wang US Patent App. 15/768,833, 2019 | 27 | 2019 |
Search engine use of neural network regressor for multi-modal item recommendations based on visual semantic embeddings DA Forsyth, R Kumar, K Dusad, K Li, MI Vasileva, B Plummer, Y Shen, ... US Patent App. 16/828,776, 2020 | 22 | 2020 |
Classifying electronic messages using individualized artificial intelligence techniques K Li US Patent 9,946,789, 2018 | 21 | 2018 |
Determining consensus by parallel proof of voting in consortium blockchain H Li, H Wang, J Huang, H Ma, F Yin, Y Bai, K Xing, K Li, H Hou US Patent App. 16/540,012, 2020 | 18 | 2020 |
Coherent and controllable outfit generation K Li, C Liu, D Forsyth arXiv preprint arXiv:1906.07273, 2019 | 17 | 2019 |
MDFS: A mimic defense theory based architecture for distributed file system Z Lin, K Li, H Hou, X Yang, H Li 2017 IEEE International Conference on Big Data (Big Data), 2670-2675, 2017 | 11 | 2017 |
Toward accurate and realistic virtual try-on through shape matching and multiple warps K Li, MJ Chong, J Liu, D Forsyth arXiv preprint arXiv:2003.10817, 2020 | 9 | 2020 |
Using discriminative methods to learn fashion compatibility across datasets K Li, C Liu, R Kumar, D Forsyth Journal of Environmental Sciences (China) English Ed, 2019 | 5 | 2019 |
Povnet: Image-based virtual try-on through accurate warping and residual K Li, J Zhang, D Forsyth IEEE transactions on pattern analysis and machine intelligence, 2023 | 3 | 2023 |
Constructing topology for satisfying partition tolerance in consortium blockchain consensus H Li, J Wu, K Li, P Yi, H Wang, F Zhu, H Hou, K Li, X Zhang US Patent App. 16/361,067, 2019 | 2 | 2019 |
Preserving Image Properties Through Initializations in Diffusion Models J Zhang, SY Chang, K Li, D Forsyth Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
On the implementation of BRS codes in Ceph J Zhang, H Hou, K Li, H Li 2017 IEEE International Conference on Big Data (Big Data), 2676-2681, 2017 | 1 | 2017 |
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On J Zhang, K Li, SY Chang, D Forsyth arXiv preprint arXiv:2403.13951, 2024 | | 2024 |
Controlling Virtual Try-On Pipeline Through Rendering Policies K Li, J Zhang, SY Chang, D Forsyth Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |