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2020 – today
- 2024
[c16]Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu:
Layer Compression of Deep Networks with Straight Flows. AAAI 2024: 12181-12189- [c15]Xiaocong Du, Haipeng Zhang:
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name Gender Prediction. IJCAI 2024: 7233-7241 - [i8]Xiaocong Du, Haipeng Zhang:
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name-Gender Prediction. CoRR abs/2405.06221 (2024) - 2023
- [c14]Xinpeng Liu, Xiaocong Du, Xianqiang Yang, Chao Cai:
Improved Stochastic Recurrent Networks for Nonlinear State Space System Identification. IECON 2023: 1-6 - 2022
- [j4]Xiaocong Du
, Shreyas Kolala Venkataramanaiah, Zheng Li, Han-Sok Suh, Shihui Yin, Gokul Krishnan, Frank Liu, Jae-sun Seo, Yu Cao:
Efficient continual learning at the edge with progressive segmented training. Neuromorph. Comput. Eng. 2(4): 44006 (2022) - [j3]Gokul Krishnan, Li Yang, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Yu Cao:
Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration. IEEE Trans. Computers 71(11): 2740-2752 (2022) - [c13]Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal:
Harmless Transfer Learning for Item Embeddings. NAACL-HLT (Findings) 2022: 504-516 - [c12]Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu:
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. UAI 2022: 2256-2266 - [i7]Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu:
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems. CoRR abs/2209.01143 (2022) - 2021
- [c11]Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal:
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. ICMLA 2021: 1421-1428 - [c10]Xiaocong Du, Zheng Li, Jingbo Sun, Frank Liu, Yu Cao:
Evolutionary NAS in Light of Model Stability for Accurate Continual Learning. IJCNN 2021: 1-8 - [c9]Gokul Krishnan, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao:
Robust RRAM-based In-Memory Computing in Light of Model Stability. IRPS 2021: 1-5 - [i6]Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal:
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. CoRR abs/2105.01064 (2021) - 2020
- [b1]Xiaocong Du:
Efficient and Online Deep Learning through Model Plasticity and Stability. Arizona State University, Tempe, USA, 2020 - [c8]Xiaocong Du, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao:
Noise-based Selection of Robust Inherited Model for Accurate Continual Learning. CVPR Workshops 2020: 983-988 - [c7]Gouranga Charan, Jubin Hazra, Karsten Beckmann, Xiaocong Du, Gokul Krishnan, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao:
Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation. DAC 2020: 1-6 - [c6]Zheng Li, Xiaocong Du, Yu Cao:
DAT-RNN: Trajectory Prediction with Diverse Attention. ICMLA 2020: 1512-1518 - [c5]Shreyas Kolala Venkataramanaiah, Xiaocong Du, Zheng Li, Shihui Yin, Yu Cao, Jae-sun Seo:
Efficient and Modularized Training on FPGA for Real-time Applications. IJCAI 2020: 5237-5239 - [c4]Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao:
Online Knowledge Acquisition with the Selective Inherited Model. IJCNN 2020: 1-7 - [c3]Zheng Li, Xiaocong Du, Yu Cao:
GAR: Graph Assisted Reasoning for Object Detection. WACV 2020: 1284-1293
2010 – 2019
- 2019
- [j2]Xiaocong Du, Zheng Li, Yufei Ma, Yu Cao:
Efficient Network Construction Through Structural Plasticity. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(3): 453-464 (2019) - [c2]Xiaocong Du, Gouranga Charan, Frank Liu, Yu Cao:
Single-Net Continual Learning with Progressive Segmented Training. ICMLA 2019: 1629-1636 - [i5]Xiaocong Du, Zheng Li, Yufei Ma, Yu Cao:
Efficient Network Construction through Structural Plasticity. CoRR abs/1905.11530 (2019) - [i4]Xiaocong Du, Zheng Li, Yu Cao:
CGaP: Continuous Growth and Pruning for Efficient Deep Learning. CoRR abs/1905.11533 (2019) - [i3]Xiaocong Du, Gouranga Charan, Frank Liu, Yu Cao:
Single-Net Continual Learning with Progressive Segmented Training (PST). CoRR abs/1905.11550 (2019) - [i2]Xiaocong Du, Gokul Krishnan, Abinash Mohanty, Zheng Li, Gouranga Charan, Yu Cao:
Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches. CoRR abs/1906.08866 (2019) - [i1]Gokul Krishnan, Xiaocong Du, Yu Cao:
Structural Pruning in Deep Neural Networks: A Small-World Approach. CoRR abs/1911.04453 (2019) - 2018
- [j1]Robert D'Angelo, Xiaocong Du, Christopher D. Salthouse, Brent Hollosi, Geremy Freifeld, Wes Uy, Haiyao Huang, Nhut Tran, Armand Chery, Jae-sun Seo, Yu Cao, Dorothy C. Poppe, Sameer R. Sonkusale:
Process Scalability of Pulse-Based Circuits for Analog Image Convolution. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(9): 2929-2938 (2018) - 2016
- [c1]Chenchen Liu, Qing Yang, Bonan Yan, Jianlei Yang, Xiaocong Du, Weijie Zhu, Hao Jiang, Qing Wu, Mark Barnell, Hai Li:
A Memristor Crossbar Based Computing Engine Optimized for High Speed and Accuracy. ISVLSI 2016: 110-115
Coauthor Index
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