Xin Dong

According to our database, Xin Dong authored at least 29 papers between 2017 and 2024.

Collaborative distances:

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

2024

Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration.

Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu

Int. J. Comput. Vis., September, 2024

A deeper look at depth pruning of LLMs.

Shoaib Ahmed Siddiqui, Xin Dong, Greg Heinrich, Thomas M. Breuel, Jan Kautz, David Krueger, Pavlo Molchanov

CoRR, 2024

Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization.

Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu

CoRR, 2024

Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection.

Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

A Simple Background Augmentation Method for Object Detection with Diffusion Model.

Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning.

Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

DRESS: Dynamic REal-time Sparse Subnets.

Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, Huseyin Ekin Sumbul, Barbara De Salvo

CoRR, 2022

Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration.

Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu

CoRR, 2022

SphereFed: Hyperspherical Federated Learning.

Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung

Proceedings of the Computer Vision - ECCV 2022, 2022

SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems.

Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neural Mean Discrepancy for Efficient Out-of-Distribution Detection.

Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H. T. Kung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks.

Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion.

Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov

CoRR, 2021

Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy.

Xin Dong, Junfeng Guo, Wei-Te Ting, H. T. Kung

CoRR, 2021

A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration.

Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu

Proceedings of the 38th International Conference on Machine Learning, 2021

MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing.

Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Training for multi-resolution inference using reusable quantization terms.

Sai Qian Zhang, Bradley McDanel, H. T. Kung, Xin Dong

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

Efficient Bitwidth Search for Practical Mixed Precision Neural Network.

Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu

CoRR, 2020

Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks.

Yuhang Li, Xin Dong, Wei Wang

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

exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources.

Wen Tai, H. T. Kung, Xin Dong, Marcus Z. Comiter, Chang-Fu Kuo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

RTN: Reparameterized Ternary Network.

Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks.

Yuhang Li, Xin Dong, Wei Wang

CoRR, 2019

Full-stack Optimization for Accelerating CNNs with FPGA Validation.

Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong

CoRR, 2019

Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation.

Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong

Proceedings of the ACM International Conference on Supercomputing, 2019

Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?

Shilin Zhu, Xin Dong, Hao Su

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks.

Yinghao Xu, Xin Dong, Yudian Li, Hao Su

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays.

H. T. Kung, Bradley McDanel, Sai Qian Zhang, Xin Dong, Chih-Chiang Chen

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018

A Main/Subsidiary Network Framework for Simplifying Binary Neural Network.

Yinghao Xu, Xin Dong, Yudian Li, Hao Su

CoRR, 2018

2017

Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon.

Xin Dong, Shangyu Chen, Sinno Jialin Pan

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017