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Xin Dong 0009
Person information
- affiliation: Harvard University, Cambridge, MA, USA
- affiliation (former): Nanyang Technological University, Singapore
Other persons with the same name
- Xin Dong — disambiguation page
- Xin Dong 0001
(aka: Xin Luna Dong, Luna Dong) — Amazon (and 1 more)
- Xin Dong 0002 — Rensselaer Polytechnic Institute, Troy, USA
- Xin Dong 0003 — Zhejiang University, China
- Xin Dong 0004 — Northeastern University, Boston, USA
- Xin Dong 0005 — Central South University, Changsha, China
- Xin Dong 0006 — Communication University of China, Information Engineering School, Beijing, China
- Xin Dong 0007 — Shanghai Jiao Tong University
- Xin Dong 0008 — University of Nebraska-Lincoln
- Xin Dong 0010 — Rutgers University, NJ, USA
- Xin Dong 0011
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2020 – today
- 2024
- [j1]Yuhang Li
Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration. Int. J. Comput. Vis. 132(9): 3586-3609 (2024) - [c18]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. ECCV (33) 2024: 253-270 - [c17]Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu:
A Simple Background Augmentation Method for Object Detection with Diffusion Model. ECCV (66) 2024: 462-479 - [i18]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 abs/2403.15955 (2024) - [i17]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 abs/2403.19866 (2024) - [i16]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 abs/2407.16286 (2024) - [i15]Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu:
A Simple Background Augmentation Method for Object Detection with Diffusion Model. CoRR abs/2408.00350 (2024) - 2023
- [c16]Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long:
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning. NeurIPS 2023 - 2022
- [c15]Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung:
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. BMVC 2022: 230 - [c14]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. CVPR 2022: 12549-12559 - [c13]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: 19195-19205 - [c12]Xin Dong
SphereFed: Hyperspherical Federated Learning. ECCV (26) 2022: 165-184 - [i14]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 abs/2204.04705 (2022) - [i13]Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu:
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration. CoRR abs/2205.10121 (2022) - [i12]Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, Huseyin Ekin Sumbul, Barbara De Salvo:
DRESS: Dynamic REal-time Sparse Subnets. CoRR abs/2207.00670 (2022) - [i11]Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung:
SphereFed: Hyperspherical Federated Learning. CoRR abs/2207.09413 (2022) - 2021
- [c11]Sai Qian Zhang, Bradley McDanel
Training for multi-resolution inference using reusable quantization terms. ASPLOS 2021: 845-860 - [c10]Yuhang Li, Feng Zhu, Ruihao Gong
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV 2021: 4390-4399 - [c9]Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu:
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. ICML 2021: 6316-6325 - [i10]Xin Dong, Junfeng Guo, Wei-Te Ting, H. T. Kung:
Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy. CoRR abs/2104.11408 (2021) - [i9]Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu:
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. CoRR abs/2106.06984 (2021) - [i8]Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. CoRR abs/2107.06304 (2021) - 2020
- [c8]Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang:
RTN: Reparameterized Ternary Network. AAAI 2020: 4780-4787 - [c7]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: 1433-1439 - [c6]Yuhang Li, Xin Dong, Wei Wang:
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks. ICLR 2020 - [i7]Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu:
Efficient Bitwidth Search for Practical Mixed Precision Neural Network. CoRR abs/2003.07577 (2020)
2010 – 2019
- 2019
- [c5]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: 42-50 - [c4]Shilin Zhu, Xin Dong, Hao Su:
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CVPR 2019: 4923-4932 - [c3]Yinghao Xu, Xin Dong, Yudian Li, Hao Su:
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks. CVPR 2019: 7154-7162 - [c2]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: 449-460 - [i6]Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong:
Full-stack Optimization for Accelerating CNNs with FPGA Validation. CoRR abs/1905.00462 (2019) - [i5]Yuhang Li, Xin Dong, Wei Wang:
Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks. CoRR abs/1909.13144 (2019) - [i4]Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang:
RTN: Reparameterized Ternary Network. CoRR abs/1912.02057 (2019) - 2018
- [i3]Shilin Zhu, Xin Dong, Hao Su:
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CoRR abs/1806.07550 (2018) - [i2]Yinghao Xu, Xin Dong, Yudian Li, Hao Su:
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network. CoRR abs/1812.04210 (2018) - 2017
- [c1]Xin Dong, Shangyu Chen, Sinno Jialin Pan:
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. NIPS 2017: 4857-4867 - [i1]Xin Dong, Shangyu Chen, Sinno Jialin Pan:
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. CoRR abs/1705.07565 (2017)
Coauthor Index
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last updated on 2024-12-12 21:00 CET by the dblp team
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