Ruofan Wu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 55

Top Topics

Impedance Control

Reinforcement Learning

Graph Representation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Ruofan Wu, Guanhua Fang, Qiying Pan, Mingyang Zhang, Tengfei Liu, Weiqiang Wang, Wenbiao Zhao
On provable privacy vulnerabilities of graph representations. CoRR (2024)
Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD (2024)
Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR (2024)
Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng
State Space Models on Temporal Graphs: A First-Principles Study. CoRR (2024)
Ruofan Wu, Junmin Zhong, Jennie Si
Actor-Critic Reinforcement Learning with Phased Actor. CoRR (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)
Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
Self-supervision meets kernel graph neural models: From architecture to augmentations. ICDM (Workshops) (2023)
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)
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 (2023)
Junmin Zhong, Ruofan Wu, Jennie Si
Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning. CoRR (2023)
Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Welong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR (2023)
Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
Privacy-preserving design of graph neural networks with applications to vertical federated learning. CoRR (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 (2023)
Feng Zhang, Ruofan Wu, Jiawei Guan, Zhen Zheng, Xiaoguang Guo, Xiao Zhang, Xiaoyong Du, Xipeng Shen
Expanding the Edge: Enabling Efficient Winograd CNN Inference With Deep Reuse on Edge Device. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, Xiaoyong Du
RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns. ASPLOS (4) (2023)
Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
Self-supervision meets kernel graph neural models: From architecture to augmentations. CoRR (2023)
Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang
GUARD: Graph Universal Adversarial Defense. CIKM (2023)
Jintang Li, Wangbin Sun, Ruofan Wu, Yuchang Zhu, Liang Chen, Zibin Zheng
Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning. CoRR (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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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)
Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang
A Momentum Loss Reweighting Method for Improving Recall. CIKM (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)
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 (2023)
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 (2023)
Junmin Zhong, Ruofan Wu, Jennie Si
A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning. NeurIPS (2023)
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. NeurIPS (2023)
Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang
GUARD: Graph Universal Adversarial Defense. CoRR (2022)
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) (2022)
Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du, Xipeng Shen
DREW: Efficient Winograd CNN Inference with Deep Reuse. WWW (2022)
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) (2022)
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 (2022)
Junmin Zhong, Ruofan Wu, Jennie Si
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems. CoRR (2022)
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) (2022)
Ruofan Wu, Junmin Zhong, Brent Wallace, Xiang Gao, He Huang, Jennie Si
Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking. NeurIPS (2022)
Yan Feng, Tao Xiong, Ruofan Wu, LingJuan Lv, Leilei Shi
sqSGD: Locally Private and Communication Efficient Federated Learning. CoRR (2022)
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)
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) (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)
Jiawei Guan, Feng Zhang, Jiesong Liu, Hsin-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen
TREC: Transient Redundancy Elimination-based Convolution. NeurIPS (2022)
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) (2022)
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)
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 (2022)
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 (2021)
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) (2021)
Ruofan Wu, Feng Zhang, Zhen Zheng, Xiaoyong Du, Xipeng Shen
Exploring deep reuse in winograd CNN inference. PPoPP (2021)
Sheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong
Self-supervised Representation Learning on Dynamic Graphs. CIKM (2021)
Zhikai Yao, Jennie Si, Ruofan Wu, Jianyong Yao
Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems. CoRR (2021)
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 (2021)
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 (2021)
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)
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)