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2020 – today
- 2024
[c10]Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson:
Transferring Knowledge From Large Foundation Models to Small Downstream Models. ICML 2024- [c9]Shikai Qiu, Andres Potapczynski, Marc Anton Finzi, Micah Goldblum, Andrew Gordon Wilson:
Compute Better Spent: Replacing Dense Layers with Structured Matrices. ICML 2024 - [i6]Shikai Qiu, Andres Potapczynski, Marc Finzi, Micah Goldblum, Andrew Gordon Wilson:
Compute Better Spent: Replacing Dense Layers with Structured Matrices. CoRR abs/2406.06248 (2024) - [i5]Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Yuyang Wang, Andrew Gordon Wilson:
Transferring Knowledge from Large Foundation Models to Small Downstream Models. CoRR abs/2406.07337 (2024) - 2023
- [c8]Shikai Qiu, Andres Potapczynski, Pavel Izmailov, Andrew Gordon Wilson:
Simple and Fast Group Robustness by Automatic Feature Reweighting. ICML 2023: 28448-28467 - [c7]Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu, Andrew Gordon Wilson:
Function-Space Regularization in Neural Networks: A Probabilistic Perspective. ICML 2023: 29275-29290 - [c6]Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson:
Large Language Models Are Zero-Shot Time Series Forecasters. NeurIPS 2023 - [c5]Shikai Qiu, Tim G. J. Rudner, Sanyam Kapoor, Andrew Gordon Wilson:
Should We Learn Most Likely Functions or Parameters? NeurIPS 2023 - [i4]Shikai Qiu, Andres Potapczynski, Pavel Izmailov, Andrew Gordon Wilson:
Simple and Fast Group Robustness by Automatic Feature Reweighting. CoRR abs/2306.11074 (2023) - [i3]Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson:
Large Language Models Are Zero-Shot Time Series Forecasters. CoRR abs/2310.07820 (2023) - [i2]Shikai Qiu, Tim G. J. Rudner, Sanyam Kapoor, Andrew Gordon Wilson:
Should We Learn Most Likely Functions or Parameters? CoRR abs/2311.15990 (2023) - [i1]Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu, Andrew Gordon Wilson:
Function-Space Regularization in Neural Networks: A Probabilistic Perspective. CoRR abs/2312.17162 (2023) - 2021
- [j3]Lirui Chen
, Yu Wang, Zuocheng Xing, Shikai Qiu, Qinglin Wang, Yongzhong Li:
Low latency group-sorted QR decomposition algorithm for larger-scale MIMO systems. IET Commun. 15(12): 1548-1560 (2021) - 2020
- [j2]Lirui Chen, Zuocheng Xing, Yongzhong Li, Shikai Qiu:
Efficient MIMO Preprocessor With Sorting-Relaxed QR Decomposition and Modified Greedy LLL Algorithm. IEEE Access 8: 54085-54099 (2020) - [j1]Yu Wang, Qinglin Wang, Yang Zhang, Shikai Qiu, Zuocheng Xing:
An Area-Efficient Hybrid Polar Decoder With Pipelined Architecture. IEEE Access 8: 68068-68082 (2020) - [c4]Yu Wang, Shikai Qiu, Lirui Chen, Qinglin Wang, Yang Zhang, Cang Liu, Zuocheng Xing:
A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes. ICASSP 2020: 5105-5109 - [c3]Lirui Chen, Yu Wang, Zuocheng Xing, Shikai Qiu, Qinglin Wang, Yang Zhang:
A Paralleled Greedy LLL Algorithm for 16×16 MIMO Detection. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [c2]Yang Zhang, Jie Shen, Zhen Xu, Shikai Qiu, Xuhao Chen:
Architectural Implications in Graph Processing of Accelerator with Gardenia Benchmark Suite. ISPA/BDCloud/SocialCom/SustainCom 2019: 1329-1339 - 2018
- [c1]Yu Wang, Lirui Chen, Shikai Qiu, Li Huang, Zuocheng Xing:
A Low Latency SCAN-Flip Polar Decoder for 5G Vehicular Communication. INTSYS 2018: 157-170
Coauthor Index
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