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Publication search results
found 18 matches
- 2024
- Shan Zhang, Lingxin Meng, Zhaonan Lu, Wanyuan Qu, Shuang Song, Menglian Zhao, Zhichao Tan:
An 871nW 96.2dB-SNDR Pipelined NS SAR ADC Achieving 180.8dB-FoMSNDR with a Charge-Efficient CLS-Assisted Two-Stage FIA. CICC 2024: 1-2 - Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander:
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. ICML 2024 - Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander:
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. CoRR abs/2402.18697 (2024) - 2023
- Zhaonan Qu, Kaixiang Lin, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou:
A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg. J. Artif. Intell. Res. 78: 1143-1200 (2023) - Zhaonan Lu, Huaikun Ji, Wanyuan Qu, Le Ye, Menglian Zhao, Zhichao Tan:
A 1 V 1.07 μW 15-Bit Pseudo-Pseudo-Differential Incremental Zoom ADC. IEEE J. Solid State Circuits 58(9): 2575-2584 (2023) - Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction. IEEE Trans. Knowl. Data Eng. 35(1): 276-290 (2023) - Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura:
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. AAAI 2023: 8078-8086 - Zhaonan Qu, Alfred Galichon, Johan Ugander:
On Sinkhorn's Algorithm and Choice Modeling. CoRR abs/2310.00260 (2023) - Wenzhi Gao, Zhaonan Qu, Madeleine Udell, Yinyu Ye:
Scalable Approximate Optimal Diagonal Preconditioning. CoRR abs/2312.15594 (2023) - 2022
- Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Xuan Song, Ryosuke Shibasaki:
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System. ACM Trans. Intell. Syst. Technol. 13(2): 21:1-21:24 (2022) - Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka. IEEE Big Data 2022: 6676-6677 - Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract). ICDE 2022: 1519-1520 - Zhaonan Qu, Wenzhi Gao, Oliver Hinder, Yinyu Ye, Zhengyuan Zhou:
Optimal Diagonal Preconditioning: Theory and Practice. CoRR abs/2209.00809 (2022) - Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura:
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. CoRR abs/2211.14701 (2022) - 2021
- Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Zhaonan Wang, Quanjun Chen, Zekun Cai, Ryosuke Shibasaki:
Transfer Urban Human Mobility via POI Embedding over Multiple Cities. Trans. Data Sci. 2(1): 4:1-4:26 (2021) - 2020
- Xiaodong Qu, Peiyan Liu, Zhaonan Li, Timothy J. Hickey:
Multi-class Time Continuity Voting for EEG Classification. BFAL 2020: 24-33 - Zhaonan Qu, Yinyu Ye, Zhengyuan Zhou:
Diagonal Preconditioning: Theory and Algorithms. CoRR abs/2003.07545 (2020) - Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou:
Federated Learning's Blessing: FedAvg has Linear Speedup. CoRR abs/2007.05690 (2020)
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retrieved on 2024-11-02 15:36 CET from data curated by the dblp team
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