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Talks

• Hardware-software co-design for Computer Vision ( PDF), Tsinghua University, Apr. 2022
• Some Recent Advances in Computer Vision (near 2021) ( PDF, Bilibili (Chinese) ), Tsinghua University, Oct. 2021
• Coevolution of Neural Network and Computer Architecture ( PDF ), Aug. 2019
• Speculations about Computer Architecture in Next Three Years ( PDF), Jan. 20, 2018
• Quantum Computing with Haskell and FPGA simulation ( PDF , GitHub ), Jan. 18, 2018
• Smart Embedded Vision with Quantized Neural Network ( PDF ), Tsinghua University, Jul. 8 2017
• Practical Methodology in Deep Learning ( PDF ), Peking University, Apr. 2017
• Neural Network Approximations ( PDF ), Yao Class, Tsinghua University, Nov. 2016
• Pointer Level Analysis ( PDF ), 2009

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Publications

• Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu and Shuchang Zhou: Synergistic Self-supervised and Quantization Learning. ( arxiv, github)
• Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou: RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation. ( arxiv, github)
• Zhewei Huang, Wen Heng, Shuchang Zhou: Learning to Paint with Model-based Deep Reinforcement Learning. ( arxiv, github)
• Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang: EAST: An Efficient and Accurate Scene Text Detector. ( arxiv)
• Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He: GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. ( arxiv , slide , GitHub )
• Shuchang Zhou, Yuxin Wu, Zekun Ni, Xinyu Zhou, He Wen, Yuheng Zou: DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients. ( arxiv , GitHub )
• Shuchang Zhou: An Efficient Simulation Algorithm for Cache of Random Replacement Policy. NPC 2010 PDF, slide , GitHub
• More at Google Scholar

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Competitions

• "Nuri" won the 1st place in NeurIPS'21 Machine Learning for Combinatorial Optimization Dual Task track. Code
• "Megvii-hzwer" won the 2nd place in NIPS'17 Learning to Run Challenge , a competition on teaching a skeleton to run as fast as possible. We proposed the Actor-Critic Ensemble (ACE) method ( PDF , Github).
• "Megvii" won the 1st place in all tracks in NIST TRAIT '16 , a competition on Text Recognition in the wild (OCR).

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Research Areas

• Machine Learning and Artificial Intelligence
• Embedded Computing
• Stochastic Optimization

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Academic Service

Co-organize a joint course on Deep Learning and Computer Vision at Peking University.

Reviewer of AAAI, NIPS, IJCAI, IPDPS, TIP, JSTSP, TNNLS, TPAMI, TVLSI, and serving on JMLR editorial board.

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Last update: Apr., 2022.