Xin Dong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Discretization Method

Data Generation

Top Venues

Publications

Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR (2024)
Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin
Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection. CoRR (2024)
Shoaib Ahmed Siddiqui, Xin Dong, Greg Heinrich, Thomas M. Breuel, Jan Kautz, David Krueger, Pavlo Molchanov
A deeper look at depth pruning of LLMs. CoRR (2024)
Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. CoRR (2022)
Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H. T. Kung
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection. CVPR (2022)
Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung
SphereFed: Hyperspherical Federated Learning. CoRR (2022)
Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration. CoRR (2022)
Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV (2021)
Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. ICML (2021)
Xin Dong, Junfeng Guo, Wei-Te Ting, H. T. Kung
Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy. CoRR (2021)
Sai Qian Zhang, Bradley McDanel, H. T. Kung, Xin Dong
Training for multi-resolution inference using reusable quantization terms. ASPLOS (2021)
Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. CoRR (2021)
Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu
Efficient Bitwidth Search for Practical Mixed Precision Neural Network. CoRR (2020)
Yuhang Li, Xin Dong, Wei Wang
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks. ICLR (2020)
Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
RTN: Reparameterized Ternary Network. AAAI (2020)
Wen Tai, H. T. Kung, Xin Dong, Marcus Z. Comiter, Chang-Fu Kuo
exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources. EMNLP (Findings) (2020)
Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation. ICS (2019)
Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
Full-stack Optimization for Accelerating CNNs with FPGA Validation. CoRR (2019)
Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
RTN: Reparameterized Ternary Network. CoRR (2019)
Yinghao Xu, Xin Dong, Yudian Li, Hao Su
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks. CVPR (2019)
Yuhang Li, Xin Dong, Wei Wang
Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks. CoRR (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang, Xin Dong, Chih-Chiang Chen
Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays. ASAP (2019)
Shilin Zhu, Xin Dong, Hao Su
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CVPR (2019)
Shilin Zhu, Xin Dong, Hao Su
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CoRR (2018)
Yinghao Xu, Xin Dong, Yudian Li, Hao Su
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network. CoRR (2018)
Xin Dong, Shangyu Chen, Sinno Jialin Pan
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. CoRR (2017)
Xin Dong, Shangyu Chen, Sinno Jialin Pan
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. NIPS (2017)