Xiaohan Chen

According to our database, Xiaohan Chen authored at least 66 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MTSFBet: A Hand-Gesture-Recognition-Based Identity Authentication Approach for Passive Keyless Entry Against Relay Attack.

Xiaohan Zhang, Peng Liu, Bohao Lu, Yang Wang, Xiaohan Chen, Yanxin Zhang, Zhi Wang

IEEE Trans. Mob. Comput., February, 2024

Rethinking the Capacity of Graph Neural Networks for Branching Strategy.

Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin

CoRR, 2024

2023

SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training.

Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

A novel momentum prototypical neural network to cross-domain fault diagnosis for rotating machinery subject to cold-start.

Xiaohan Chen, Rui Yang, Yihao Xue, Chao Yang, Baoye Song, Maiying Zhong

Neurocomputing, October, 2023

A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis.

Yihao Xue, Rui Yang, Xiaohan Chen, Zhongbei Tian, Zidong Wang

IEEE Trans. Instrum. Meas., 2023

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016.

Xiaohan Chen, Rui Yang, Yihao Xue, Mengjie Huang, Roberto Ferrero, Zidong Wang

IEEE Trans. Instrum. Meas., 2023

TMG: A topology-based motion generalization method with spatial relationship preservation.

Yihui Li, Jiajun Wu, Xiaohan Chen, Yisheng Guan, Haifei Zhu

Robotics Auton. Syst., 2023

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.

Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin

CoRR, 2023

Robot Orientation Learning Based on Interaction Primitives for Human-Robot Collaboration.

Jiajun Wu, Yihui Li, Xiaohan Chen, Yisheng Guan, Weichun Xie, Junyu Xie

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

DMDSNet: A Computer Vision-based Dual Multi-task Model for Tunnel Bolt Detection and Corrosion Segmentation.

Lei Tan, Xiaohan Chen, Xiaoxi Hu, Tao Tang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A new dynamic planning for airport surface based on an improved artificial potential field algorithm in a connected aircraft environment.

Qihang Liu, Yuhang Liu, Xiaohan Chen, Zixin Wang, Jiangchen Li

Proceedings of the 5th International Conference on Internet of Things, 2023

A Framework for Online and Offline Programming of Multi-Robot Cooperative Motion Planning.

Senyu Mo, Yisheng Guan, Yihui Li, Xiaohan Chen

Proceedings of the 9th International Conference on Mechatronics and Robotics Engineering, 2023

Towards Constituting Mathematical Structures for Learning to Optimize.

Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai

Proceedings of the International Conference on Machine Learning, 2023

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.

Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Many-Task Federated Learning: A New Problem Setting and A Simple Baseline.

Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Safeguarded Learned Convex Optimization.

Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DrSim: Similarity Learning for Transcriptional Phenotypic Drug Discovery.

Zhiting Wei, Sheng Zhu, Xiaohan Chen, Chen-Yu Zhu, Bin Duan, Qi Liu

Genom. Proteom. Bioinform., October, 2022

Learning to Optimize: A Primer and A Benchmark.

Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin

J. Mach. Learn. Res., 2022

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.

Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang

CoRR, 2022

PRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein-protein interaction network.

Xiaowen Wang, Hongming Zhu, Yizhi Jiang, Yulong Li, Chen Tang, Xiaohan Chen, Yunjie Li, Qi Liu, Qin Liu

Briefings Bioinform., 2022

Optimized Fingering Planning for Automatic Piano Playing Using Dual-arm Robot System.

Wenjing Shi, Yihui Li, Yisheng Guan, Xiaohan Chen, Shengtian Yang, Senyu Mo

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Probabilistic Fusion in Task Space and Joint Space for Human-Robot Interaction.

Xiaohan Chen, Yihui Li, Yisheng Guan, Wenjing Shi, Jiajun Wu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets.

Ruisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.

Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy

Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.

Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently.

Xiaohan Chen, Jason Zhang, Zhangyang Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Model elasticity for hardware heterogeneity in federated learning systems.

Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu

Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, 2022

Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better.

Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Bearing fault diagnosis base on multi-scale CNN and LSTM model.

Xiaohan Chen, Bei-ke Zhang, Dong Gao

J. Intell. Manuf., 2021

FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.

Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

CoRR, 2021

SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training.

Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

CoRR, 2021

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?

Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.

Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hyperparameter Tuning is All You Need for LISTA.

Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Elastic Lottery Ticket Hypothesis.

Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning A Minimax Optimizer: A Pilot Study.

Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

A Design Space Study for LISTA and Beyond.

Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

Transfer Learning with Unsupervised Domain Adaptation Method for Bearing Fault Diagnosis.

Xiaohan Chen, Rui Yang, Huiqing Wen, Steven Guan

Proceedings of the CAA Symposium on Fault Detection, 2021

DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records.

Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets.

Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

ShiftAddNet: A Hardware-Inspired Deep Network.

Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MATE: Plugging in Model Awareness to Task Embedding for Meta Learning.

Xiaohan Chen, Zhangyang Wang, Siyu Tang, Krikamol Muandet

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation.

Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks.

Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin

Proceedings of the 8th International Conference on Learning Representations, 2020

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery.

Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving.

Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang

CoRR, 2019

Drawing early-bird tickets: Towards more efficient training of deep networks.

Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk

CoRR, 2019

E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings.

Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Plug-and-Play Methods Provably Converge with Properly Trained Denoisers.

Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin

Proceedings of the 36th International Conference on Machine Learning, 2019

ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA.

Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?

Nitin Bansal, Xiaohan Chen, Zhangyang Wang

CoRR, 2018

Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds.

Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Can We Gain More from Orthogonality Regularizations in Training Deep Networks?

Nitin Bansal, Xiaohan Chen, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Unsupervised Speech Denoising Method Based on Deep Neural Network.

Xiaohan Chen

Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

2015

Pose estimation of robotic end-effectors under low speed motion using EKF with inertial and SE(3) measurements.

Xiaohan Chen, Gim Song Soh, Shaohui Foong, Kevin Otto

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015

2014

Tracking Control for Differential-Drive Mobile Robots With Diamond-Shaped Input Constraints.

Xiaohan Chen, Yingmin Jia, Fumitoshi Matsuno

IEEE Trans. Control. Syst. Technol., 2014

Tracking control of nonholonomic mobile robots with velocity and acceleration constraints.

Xiaohan Chen, Yingmin Jia, Fumitoshi Matsuno

Proceedings of the American Control Conference, 2014

2011

Column formation control of multi-robot systems with input constraints.

Xiaohan Chen, Yingmin Jia, Junping Du, Fashan Yu

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Automatic target recognition performance losses in the presence of atmospheric and camera effects.

Xiaohan Chen, Natalia A. Schmid

J. Electronic Imaging, 2010

A behavior-based SMS antispam system.

Chen Wang, Yibo Zhang, Xiaohan Chen, Zhiyu Liu, Lei Shi, Guang Chen, F. Qiu, Chun Ying, Wei Lu

IBM J. Res. Dev., 2010

2009

Empirical Capacity of a Recognition Channel for Single- and Multipose Object Recognition Under the Constraint of PCA Encoding.

Xiaohan Chen, Natalia A. Schmid

IEEE Trans. Image Process., 2009

2008

On empirical capacity, random coding bound, and probability of outage of an object recognition system under constraint of PCA-encoding.

Xiaohan Chen, Natalia A. Schmid

Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

2007

On Generation and Analysis of Synthetic Iris Images.

Jinyu Zuo, Natalia A. Schmid, Xiaohan Chen

IEEE Trans. Inf. Forensics Secur., 2007

On Capacity of Automatic Target Recognition Systems Under the Constraint of PCA-Encoding.

Xiaohan Chen, Natalia A. Schmid

Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006

On Performance Comparison of Real and Synthetic Iris Images.

Jinyu Zuo, Natalia A. Schmid, Xiaohan Chen

Proceedings of the International Conference on Image Processing, 2006

A Joint Shape-Intensity Estimation in Computerized Tomography in the Presence of High-Density Objects.

Xiaohan Chen, Natalia A. Schmid

Proceedings of the International Conference on Image Processing, 2006