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Publication search results
found 34 matches
- 2024
- Ruofan Zhang, Haoyu Zhuang, Yirui Cao, Qiang Li:
A 20 MHz, 98.7 dB-SFDR, Capacitively Degenerated Dynamic Amplifier Without Bias Voltage Calibrations. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1027-1031 (2024) - Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR 2024 - Ruofan Zhu, Xingyu Wang, Chengwei Liu, Zhengzi Xu, Wenbo Shen, Rui Chang, Yang Liu:
ModuleGuard: Understanding and Detecting Module Conflicts in Python Ecosystem. ICSE 2024: 211:1-211:12 - Ruofan Zhu, Xingyu Wang, Chengwei Liu, Zhengzi Xu, Wenbo Shen, Rui Chang, Yang Liu:
ModuleGuard: Understanding and Detecting Module Conflicts in Python Ecosystem. CoRR abs/2401.02090 (2024) - Jianhao Xie, Ruofan Liao, Ziang Zhang, Sida Yi, Yuesheng Zhu, Guibo Luo:
ProMamba: Prompt-Mamba for polyp segmentation. CoRR abs/2403.13660 (2024) - 2023
- Ruofan Wang, Jing Zhu, Yuqian Meng, Xuanhao Wang, Ruimin Chen, Kaiyue Wang, Chiye Li, Junhui Shi:
Adaptive machine learning method for photoacoustic computed tomography based on sparse array sensor data. Comput. Methods Programs Biomed. 242: 107822 (2023) - Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng:
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. AAAI 2023: 8588-8596 - Liu Yang, Tao Xu, Songqing Zhu, Fei Hao, Haitao Gao, Ruofan Wang:
Research on Fault Diagnosis Algorithm of Subway Vehicle Door System Based on Multi-stage Feature Fusion of Vibration Signals. AAIA 2023: 251-257 - Yang Yu, Rui Zhang, Ziyan Tang, Han Wang, Xiaona Zhuang, Ruofan Zhao, Yusen Ma, Peilin Gao, Zhanzhi Gong, Haibo Chen:
A walking assistance robot based on bionic traction characteristics. ICCEIC 2023: 591-594 - Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD 2023: 1268-1279 - Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Wenlong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin:
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR abs/2305.10673 (2023) - Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. CoRR abs/2305.19306 (2023) - Jintang Li, Wangbin Sun, Ruofan Wu, Yuchang Zhu, Liang Chen, Zibin Zheng:
Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning. CoRR abs/2306.02117 (2023) - Qiying Pan, Ruofan Wu, Tengfei Liu, Tianyi Zhang, Yifei Zhu, Weiqiang Wang:
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks. CoRR abs/2309.09517 (2023) - Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen:
Hetero$2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. CoRR abs/2310.11664 (2023) - Jiangbo Song, Wanqing Li, Ruofan Liu, Xiangwei Zhu:
FGO-ILNS: Tightly Coupled Multi-Sensor Integrated Navigation System Based on Factor Graph Optimization for Autonomous Underwater Vehicle. CoRR abs/2310.14163 (2023) - Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng:
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR abs/2311.16605 (2023) - 2022
- Shanshan Wan, Zhuo Chen, Cheng Lyu, Ruofan Li, Yuntao Yue, Ying Liu:
Research on disaster information dissemination based on social sensor networks. Int. J. Distributed Sens. Networks 18(3): 155013292210806 (2022) - Hongyu Zhu, Ruofan Wu, Yijia Diao, Shanbin Ke, Haoyu Li, Chen Zhang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon, Gennady Pekhimenko:
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. OSDI 2022: 233-248 - Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. CoRR abs/2205.10053 (2022) - Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng:
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. CoRR abs/2208.10364 (2022) - 2021
- Bayi Cheng, Ruofan Li, Xiaoxi Zhu, Mi Zhou, Xiongfei Cao:
Optimal decision in MC supply chain with overconfident retailer based on the newsvendor model. RAIRO Oper. Res. 55(3): 1325-1341 (2021) - Sheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong:
Self-supervised Representation Learning on Dynamic Graphs. CIKM 2021: 1814-1823 - 2020
- Ruo-Fan Qiu, Huanhuan Chen, Tao Zhou, Jianfeng Zhu, Yancheng You:
Lattice Boltzmann simulation for unsteady shock wave/boundary layer interaction in a shock tube. Comput. Math. Appl. 80(10): 2241-2257 (2020) - Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. V. Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. ECCV Workshops (3) 2020: 499-518 - Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. CoRR abs/2009.12798 (2020) - 2019
- Ruo-Fan Qiu, Hai-Ning Wang, Jianfeng Zhu, Rong-Qian Chen, Chengxiang Zhu, Yancheng You:
Compressible lattice Boltzmann simulations on high-performance and low-cost GeForce GPU. Concurr. Comput. Pract. Exp. 31(20) (2019) - Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen:
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3556-3564 - Xinyu Gong, Huidi Zhu, Ruofan Deng, Fu Wang, Jialiang Lu:
Crafting and Detecting Adversarial Web Requests. SmartCloud 2019: 237-242 - 2017
- Shilie Zheng, Ruofan Dong, Zhuofan Zhang, Xianbin Yu, Xiaofeng Jin, Hao Chi, Zhi Ning Chen, Xianmin Zhang:
Non-Line-of-Sight Channel Performance of Plane Spiral Orbital Angular Momentum MIMO Systems. IEEE Access 5: 25377-25384 (2017)
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