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ORCIDRuofan Wu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j7]Zixuan Wang, Ruofan Wu, Yanran Xu, Yi Liu, Ruimei Chai, He Ma
:
A two-stage CNN method for MRI image segmentation of prostate with lesion. Biomed. Signal Process. Control. 82: 104610 (2023)- [c11]Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin:
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. WWW 2023: 2306-2317 - [i15]Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang:
GRANDE: a neural model over directed multigraphs with application to anti-money laundering. CoRR abs/2302.02101 (2023) - [i14]Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang:
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk. CoRR abs/2303.03933 (2023) - [i13]Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang:
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. CoRR abs/2303.10358 (2023) - [i12]Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin:
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. CoRR abs/2304.02932 (2023) - [i11]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) - [i10]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) - 2022
- [j6]Ruofan Wu, Zhikai Yao, Jennie Si, He Helen Huang:
Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning. IEEE CAA J. Autom. Sinica 9(1): 19-30 (2022) - [j5]Xin Wu, Lan You, Ruofan Wu, Qi Zhang, Kaixin Liang:
Management and Control of Load Clusters for Ancillary Services Using Internet of Electric Loads Based on Cloud-Edge-End Distributed Computing. IEEE Internet Things J. 9(19): 18267-18279 (2022) - [j4]Wentao Liu, Junmin Zhong, Ruofan Wu, Bretta L. Fylstra, Jennie Si, He Helen Huang:
Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control. IEEE Robotics Autom. Lett. 7(2): 2549-2556 (2022) - [j3]Ruofan Wu, Minhan Li, Zhikai Yao, Wentao Liu, Jennie Si, He Huang:
Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate With Human Intact Knee Motion. IEEE Robotics Autom. Lett. 7(3): 7014-7020 (2022) - [j2]Wentao Liu, Ruofan Wu, Jennie Si, He Huang:
A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning. IEEE Robotics Autom. Lett. 7(4): 10882-10889 (2022) - [c10]Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang:
GRANDE: a neural model over directed multigraphs with application to anti-money laundering. ICDM 2022: 558-567 - [c9]Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi:
Design Domain Specific Neural Network via Symbolic Testing. KDD 2022: 3219-3229 - [c8]Jiawei Guan, Feng Zhang, Jiesong Liu, Hsin-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen:
TREC: Transient Redundancy Elimination-based Convolution. NeurIPS 2022 - [c7]Ruofan Wu, Junmin Zhong, Brent Wallace, Xiang Gao, He Huang, Jennie Si:
Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking. NeurIPS 2022 - [c6]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 - [c5]Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du, Xipeng Shen:
DREW: Efficient Winograd CNN Inference with Deep Reuse. WWW 2022: 1807-1816 - [i9]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CoRR abs/2204.09803 (2022) - [i8]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) - [i7]Yan Feng, Tao Xiong, Ruofan Wu, LingJuan Lv, Leilei Shi:
sqSGD: Locally Private and Communication Efficient Federated Learning. CoRR abs/2206.10565 (2022) - [i6]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) - [i5]Junmin Zhong, Ruofan Wu, Jennie Si:
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems. CoRR abs/2210.04820 (2022) - 2021
- [j1]Feng Zhang, Jiya Su, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang:
YuenyeungSpTRSV: A Thread-Level and Warp-Level Fusion Synchronization-Free Sparse Triangular Solve. IEEE Trans. Parallel Distributed Syst. 32(9): 2321-2337 (2021) - [c4]Sheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong:
Self-supervised Representation Learning on Dynamic Graphs. CIKM 2021: 1814-1823 - [c3]Ruofan Wu, Feng Zhang, Zhen Zheng, Xiaoyong Du, Xipeng Shen:
Exploring deep reuse in winograd CNN inference. PPoPP 2021: 483-484 - [i4]Zhikai Yao, Jennie Si, Ruofan Wu, Jianyong Yao:
Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems. CoRR abs/2101.00068 (2021) - [i3]Ruofan Wu, Minhan Li, Zhikai Yao, Jennie Si, He Huang:
Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment. CoRR abs/2101.03487 (2021) - [i2]Ruofan Wu, Zhikai Yao, Jennie Si, He Huang:
Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning. CoRR abs/2101.09334 (2021) - [i1]Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi:
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing. CoRR abs/2107.01326 (2021) - 2020
- [c2]Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang:
CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs. ICPP 2020: 2:1-2:11
2010 – 2019
- 2016
- [c1]Serguei A. Mokhov, Miao Song, Jonathan Llewellyn, Jie Zhang, Alexander Charette, Ruofan Wu, Shuiying Ge:
Real-time collection and analysis of 3-Kinect v2 skeleton data in a single application. SIGGRAPH Posters 2016: 53:1-53:2
Coauthor Index
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last updated on 2023-06-09 01:35 CEST by the dblp team
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