Xiaohan Chen

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 76

Top Topics

Efficient Inference

Top Venues

IEEE Trans. Instrum. Meas.

Publications

Peng Ye, Yuanfang Chen, Sihang Ma, Feng Xue, Noël Crespi, Xiaohan Chen, Xing Fang
Security in Transformer Visual Trackers: A Case Study on the Adversarial Robustness of Two Models. Sensors 24 (14) (2024)
Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin
Rethinking the Capacity of Graph Neural Networks for Branching Strategy. CoRR (2024)
Tao Wen, Xiaohan Chen, Dingcheng Zhang, Clive Roberts, Baigen Cai
A Sequential and Asynchronous Federated Learning Framework for Railway Point Machine Fault Diagnosis With Imperfect Data Transmission. IEEE Trans. Ind. Informatics 20 (6) (2024)
Xiaohan Zhang, Peng Liu, Bohao Lu, Yang Wang, Xiaohan Chen, Yanxin Zhang, Zhi Wang
MTSFBet: A Hand-Gesture-Recognition-Based Identity Authentication Approach for Passive Keyless Entry Against Relay Attack. IEEE Trans. Mob. Comput. 23 (2) (2024)
Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs. CoRR (2024)
Xiaohan Chen, Jialin Liu, Wotao Yin
Learning to optimize: A tutorial for continuous and mixed-integer optimization. CoRR (2024)
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
Towards Constituting Mathematical Structures for Learning to Optimize. ICML (2023)
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
Towards Constituting Mathematical Structures for Learning to Optimize. CoRR (2023)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR (2023)
Senyu Mo, Yisheng Guan, Yihui Li, Xiaohan Chen
A Framework for Online and Offline Programming of Multi-Robot Cooperative Motion Planning. ICMRE (2023)
Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
Chasing Better Deep Image Priors between Over- and Under-parameterization. Trans. Mach. Learn. Res. 2023 (2023)
Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. CVPR Workshops (2023)
Yihao Xue, Rui Yang, Xiaohan Chen, Zhongbei Tian, Zidong Wang
A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 72 (2023)
Gongchen Zhang, Chenyu Zhu, Xiaohan Chen, Jifang Yan, Dongyu Xue, Zixuan Wei, Guohui Chuai, Qi Liu
Systematic Exploration of Optimized Base Editing gRNA Design and Pleiotropic Effects with BExplorer. Genom. Proteom. Bioinform. 21 (6) (2023)
Lei Tan, Xiaohan Chen, Xiaoxi Hu, Tao Tang
DMDSNet: A Computer Vision-based Dual Multi-task Model for Tunnel Bolt Detection and Corrosion Segmentation. ITSC (2023)
Qihang Liu, Yuhang Liu, Xiaohan Chen, Zixin Wang, Jiangchen Li
A new dynamic planning for airport surface based on an improved artificial potential field algorithm in a connected aircraft environment. IoTAAI (2023)
Xiaohan Chen, Rui Yang, Yihao Xue, Chao Yang, Baoye Song, Maiying Zhong
A novel momentum prototypical neural network to cross-domain fault diagnosis for rotating machinery subject to cold-start. Neurocomputing 555 (2023)
Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee. CoRR (2023)
Xiaohan Chen, Rui Yang, Yihao Xue, Mengjie Huang, Roberto Ferrero, Zidong Wang
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016. IEEE Trans. Instrum. Meas. 72 (2023)
Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang
SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Yihui Li, Jiajun Wu, Xiaohan Chen, Yisheng Guan, Haifei Zhu
TMG: A topology-based motion generalization method with spatial relationship preservation. Robotics Auton. Syst. 166 (2023)
Jiajun Wu, Yihui Li, Xiaohan Chen, Yisheng Guan, Weichun Xie, Junyu Xie
Robot Orientation Learning Based on Interaction Primitives for Human-Robot Collaboration. RCAR (2023)
Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin
Safeguarded Learned Convex Optimization. AAAI (2023)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. CoRR (2022)
Xiaohan Chen, Yihui Li, Yisheng Guan, Wenjing Shi, Jiajun Wu
Probabilistic Fusion in Task Space and Joint Space for Human-Robot Interaction. ROBIO (2022)
Wenjing Shi, Yihui Li, Yisheng Guan, Xiaohan Chen, Shengtian Yang, Senyu Mo
Optimized Fingering Planning for Automatic Piano Playing Using Dual-arm Robot System. ROBIO (2022)
Xiaohan Chen, Jason Zhang, Zhangyang Wang
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently. ICLR (2022)
Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR (2022)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. ICLR (2022)
Xiaowen Wang, Hongming Zhu, Yizhi Jiang, Yulong Li, Chen Tang, Xiaohan Chen, Yunjie Li, Qi Liu, Qin Liu
PRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein-protein interaction network. Briefings Bioinform. 23 (2) (2022)
Zhiting Wei, Sheng Zhu, Xiaohan Chen, Chen-Yu Zhu, Bin Duan, Qi Liu
DrSim: Similarity Learning for Transcriptional Phenotypic Drug Discovery. Genom. Proteom. Bioinform. 20 (5) (2022)
Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. AAAI (2022)
Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. 23 (2022)
Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu
Model elasticity for hardware heterogeneity in federated learning systems. FedEdge@MobiCom (2022)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. CoRR (2022)
Ruisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets. NeurIPS (2022)
Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang
Learning A Minimax Optimizer: A Pilot Study. ICLR (2021)
Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR (2021)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
The Elastic Lottery Ticket Hypothesis. CoRR (2021)
Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
A Design Space Study for LISTA and Beyond. ICLR (2021)
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
Hyperparameter Tuning is All You Need for LISTA. CoRR (2021)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. NeurIPS (2021)
Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS (2021)
Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. CoRR (2021)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. CoRR (2021)
Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
A Design Space Study for LISTA and Beyond. CoRR (2021)
Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR (2021)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
The Elastic Lottery Ticket Hypothesis. NeurIPS (2021)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. CoRR (2021)
Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
Learning to Optimize: A Primer and A Benchmark. CoRR (2021)
Xiaohan Chen, Bei-ke Zhang, Dong Gao
Bearing fault diagnosis base on multi-scale CNN and LSTM model. J. Intell. Manuf. 32 (4) (2021)
Xiaohan Chen, Rui Yang, Huiqing Wen, Steven Guan
Transfer Learning with Unsupervised Domain Adaptation Method for Bearing Fault Diagnosis. CAA SAFEPROCESS (2021)
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
Hyperparameter Tuning is All You Need for LISTA. NeurIPS (2021)
Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi
DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. BHI (2021)
Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. CoRR (2021)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. ACL/IJCNLP (1) (2021)
Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin
ShiftAddNet: A Hardware-Inspired Deep Network. CoRR (2020)
Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. CoRR (2020)
Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin
ShiftAddNet: A Hardware-Inspired Deep Network. NeurIPS (2020)
Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin
Safeguarded Learned Convex Optimization. CoRR (2020)
Xiaohan Chen, Zhangyang Wang, Siyu Tang, Krikamol Muandet
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning. NeurIPS (2020)
Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. AISTATS (2020)
Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. ICLR (2020)
Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. CoRR (2020)
Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. ISCA (2020)
Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. CoRR (2019)
Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk
Drawing early-bird tickets: Towards more efficient training of deep networks. CoRR (2019)
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings. NeurIPS (2019)
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA. ICLR (Poster) (2019)
Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. ICML (2019)
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. CoRR (2019)
Nitin Bansal, Xiaohan Chen, Zhangyang Wang
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? CoRR (2018)
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds. NeurIPS (2018)
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds. CoRR (2018)
Xiaohan Chen
Unsupervised Speech Denoising Method Based on Deep Neural Network. ISCID (2) (2018)
Nitin Bansal, Xiaohan Chen, Zhangyang Wang
Can We Gain More from Orthogonality Regularizations in Training Deep Networks? NeurIPS (2018)
Xiaohan Chen, Gim Song Soh, Shaohui Foong, Kevin Otto
Pose estimation of robotic end-effectors under low speed motion using EKF with inertial and SE(3) measurements. AIM (2015)
Xiaohan Chen, Yingmin Jia, Fumitoshi Matsuno
Tracking control of nonholonomic mobile robots with velocity and acceleration constraints. ACC (2014)
Xiaohan Chen, Yingmin Jia, Fumitoshi Matsuno
Tracking Control for Differential-Drive Mobile Robots With Diamond-Shaped Input Constraints. IEEE Trans. Control. Syst. Technol. 22 (5) (2014)
Xiaohan Chen, Yingmin Jia, Junping Du, Fashan Yu
Column formation control of multi-robot systems with input constraints. CDC/ECC (2011)
Xiaohan Chen, Natalia A. Schmid
Automatic target recognition performance losses in the presence of atmospheric and camera effects. J. Electronic Imaging 19 (2) (2010)
Chen Wang, Yibo Zhang, Xiaohan Chen, Zhiyu Liu, Lei Shi, Guang Chen, F. Qiu, Chun Ying, Wei Lu
A behavior-based SMS antispam system. IBM J. Res. Dev. 54 (6) (2010)
Xiaohan Chen, Natalia A. Schmid
Empirical Capacity of a Recognition Channel for Single- and Multipose Object Recognition Under the Constraint of PCA Encoding. IEEE Trans. Image Process. 18 (3) (2009)
Xiaohan Chen, Natalia A. Schmid
On empirical capacity, random coding bound, and probability of outage of an object recognition system under constraint of PCA-encoding. CISS (2008)
Jinyu Zuo, Natalia A. Schmid, Xiaohan Chen
On Generation and Analysis of Synthetic Iris Images. IEEE Trans. Inf. Forensics Secur. 2 (1) (2007)
Xiaohan Chen, Natalia A. Schmid
On Capacity of Automatic Target Recognition Systems Under the Constraint of PCA-Encoding. CISS (2007)
Jinyu Zuo, Natalia A. Schmid, Xiaohan Chen
On Performance Comparison of Real and Synthetic Iris Images. ICIP (2006)
Xiaohan Chen, Natalia A. Schmid
A Joint Shape-Intensity Estimation in Computerized Tomography in the Presence of High-Density Objects. ICIP (2006)