Xiaocong Du

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Recommendation Systems

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Xiaocong Du, Haipeng Zhang
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name-Gender Prediction. CoRR (2024)
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)
Xinpeng Liu, Xiaocong Du, Xianqiang Yang, Chao Cai
Improved Stochastic Recurrent Networks for Nonlinear State Space System Identification. IECON (2023)
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) (2022)
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) (2022)
Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal
Harmless Transfer Learning for Item Embeddings. NAACL-HLT (Findings) (2022)
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)
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 (2022)
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)
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 (2021)
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)
Xiaocong Du, Zheng Li, Jingbo Sun, Frank Liu, Yu Cao
Evolutionary NAS in Light of Model Stability for Accurate Continual Learning. IJCNN (2021)
Zheng Li, Xiaocong Du, Yu Cao
DAT-RNN: Trajectory Prediction with Diverse Attention. ICMLA (2020)
Zheng Li, Xiaocong Du, Yu Cao
GAR: Graph Assisted Reasoning for Object Detection. WACV (2020)
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)
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)
Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao
Online Knowledge Acquisition with the Selective Inherited Model. IJCNN (2020)
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)
Xiaocong Du, Gokul Krishnan, Abinash Mohanty, Zheng Li, Gouranga Charan, Yu Cao
Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches. CoRR (2019)
Xiaocong Du, Zheng Li, Yu Cao
CGaP: Continuous Growth and Pruning for Efficient Deep Learning. CoRR (2019)
Xiaocong Du, Gouranga Charan, Frank Liu, Yu Cao
Single-Net Continual Learning with Progressive Segmented Training. ICMLA (2019)
Xiaocong Du, Zheng Li, Yufei Ma, Yu Cao
Efficient Network Construction through Structural Plasticity. CoRR (2019)
Xiaocong Du, Gouranga Charan, Frank Liu, Yu Cao
Single-Net Continual Learning with Progressive Segmented Training (PST). CoRR (2019)
Gokul Krishnan, Xiaocong Du, Yu Cao
Structural Pruning in Deep Neural Networks: A Small-World Approach. CoRR (2019)
Xiaocong Du, Zheng Li, Yufei Ma, Yu Cao
Efficient Network Construction Through Structural Plasticity. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (3) (2019)
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. (9) (2018)
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)