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2020 – today
- 2024
[j11]Chenjing Liu, Xiangru Chen, Jie Lin
, Peng Hu, Junfeng Wang, Xue Geng:
Evolving masked low-rank transformer for long text understanding. Appl. Soft Comput. 152: 111207 (2024)- [j10]Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng:
Adaptive Masked Autoencoder Transformer for image classification. Appl. Soft Comput. 164: 111958 (2024) - [j9]Chenjing Liu, Xiangru Chen, Peng Hu, Jie Lin, Junfeng Wang, Xue Geng:
Contrastive Learning with Transformer Initialization and Clustering Prior for Text Representation. Appl. Soft Comput. 166: 112162 (2024) - [j8]Hong Wu, Xue Geng, Zhuo Chen, Yingxin Zhao:
Timing-deviation and frequency-offset estimations for multicarrier transmission in high mobility environments using deep neural network. Int. J. Commun. Syst. 37(2) (2024) - [j7]Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng:
Evolving filter criteria for randomly initialized network pruning in image classification. Neurocomputing 594: 127872 (2024) - [j6]Zhuo Chen, Zhiang Liu, Xue Geng, Yingxin Zhao, Hong Wu:
Attention Guided Multi-Task Network for Joint CFO and Channel Estimation in OFDM Systems. IEEE Trans. Wirel. Commun. 23(1): 321-333 (2024) - [c10]Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
LPViT: Low-Power Semi-structured Pruning for Vision Transformers. ECCV (71) 2024: 269-287 - [i7]Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li:
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR abs/2405.06038 (2024) - [i6]Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
LPViT: Low-Power Semi-structured Pruning for Vision Transformers. CoRR abs/2407.02068 (2024) - [i5]Kaixin Xu, Qingtian Feng, Hao Chen, Zhe Wang, Xue Geng, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection. CoRR abs/2407.02098 (2024) - 2023
- [j5]Xue Geng, Zhuo Chen, Haixiao Yang, Zhiyang Liu, Hong Wu:
Timing synchronization based on Radon-Wigner transform of chirp signals for OTFS systems. Phys. Commun. 60: 102161 (2023) - [c9]Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin:
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. ICCV 2023: 17401-17411 - [i4]Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin:
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. CoRR abs/2308.10438 (2023) - 2022
- [c8]Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu:
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. CVPR 2022: 17581-17590 - [c7]Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar:
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. ECCV (12) 2022: 157-172 - [c6]Xue Geng, Sheng-rong Zou, Ju-yi Yao:
Systematic Transformation Method from UML to Event-B. QRS Companion 2022: 770-771 - [i3]Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu:
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. CoRR abs/2203.16896 (2022) - 2021
- [j4]Siya Patil, Joseph H. Yacoub, Xue Geng, Susan M. Ascher, Ross W. Filice:
Radiology Reporting in the Era of Patient-Centered Care: How Can We Improve Readability? J. Digit. Imaging 34(2): 367-373 (2021) - [j3]Rui Nian, Lina Zang, Xue Geng, Fei Yu, Shidong Ren, Bo He, Xishuang Li:
Towards Characterizing and Developing Formation and Migration Cues in Seafloor Sand Waves on Topology, Morphology, Evolution from High-Resolution Mapping via Side-Scan Sonar in Autonomous Underwater Vehicles. Sensors 21(9): 3283 (2021) - 2020
- [c5]Xue Geng, Jie Lin, Shaohua Li:
Cascaded Mixed-Precision Networks. ICIP 2020: 241-245 - [i2]Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong:
Role-Wise Data Augmentation for Knowledge Distillation. CoRR abs/2004.08861 (2020)
2010 – 2019
- 2019
- [c4]Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar:
Dataflow-Based Joint Quantization for Deep Neural Networks. DCC 2019: 574 - [i1]Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar:
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. CoRR abs/1901.02064 (2019) - 2018
- [c3]Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar:
Hardware-Aware Softmax Approximation for Deep Neural Networks. ACCV (4) 2018: 107-122 - 2016
- [j2]Dianlou Du, Xue Geng:
Action-angle variables for the Lie-Poisson Hamiltonian systems associated with Boussinesq equation. Commun. Nonlinear Sci. Numer. Simul. 30(Issues): 168-181 (2016) - 2015
- [c2]Xue Geng, Hanwang Zhang, Jingwen Bian, Tat-Seng Chua:
Learning Image and User Features for Recommendation in Social Networks. ICCV 2015: 4274-4282 - 2014
- [j1]Dianlou Du, Xue Geng:
Symplectic realizations and action-angle coordinates for the Lie-Poisson system of Dirac hierarchy. Appl. Math. Comput. 244: 222-234 (2014) - [c1]Xue Geng, Hanwang Zhang, Zheng Song, Yang Yang, Huan-Bo Luan, Tat-Seng Chua:
One of a Kind: User Profiling by Social Curation. ACM Multimedia 2014: 567-576
Coauthor Index
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