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Carnegie Mellon University
Ø Master of Computer Science (MSCS)
Ø Master of Computer Science , THU-CMU double degree program
Beihang University (BUAA)
Ø Bachelor of Engineering in Software Engineering & Minor in English; Rank 1 out of 141
Ø GPA: Major 3.88/4.0 & Minor 3.94/4.0; Graduate with Shenyuan Honor (Highest honor for students)
. Zhihao O, Yuyuan Z, Zihao H, Yinghua G, Tao D, Shu-Tao X. Towards Randomness in Learning Rates. AAAI Conference on Artificial Intelligence (AAAI) 2020 (under review).
. Zhihao O. Haoyu L, Yuyuan Z, Zihao H, Hang S, Jun Z, Shu-Tao X. Channel Specified Convolutional Neural Network. International Conference on Learning Representations (ICLR) 2020 (under review).
. Zhihao O. Yan F, Zihao H, Tianbo H, Tao D, Shu-Tao X. AttentionDrop for Convolutional Neural Networks. International Conference on Multimedia and Expo (ICME) 2019.
. Zhihao O. Yihang Y, Kun Y, Jian W, Xiaolin H. XiaoJoy: Using Locally Connected CNN to Cooperate with Human Composers (Artwork). Conference on Neural Information Processing System (NeurIPS) Workshop 2018.
. Lu Y, Zhihao O, Xu S. Website Design and Development Case. Tsinghua University Press 2018.
Interpretability and distangle of Convolutional Neural Network
Research Assistant, Advisor: Prof.Jun Zhu
Department of Computer Science & technology, Tinghua University
Ø Used channel-class gates and loss function to interprate the behavior of CNN kernels.
Ø Disentangle the CNN kernals using limit function and staged training methods.
Regulization and Robustness of Deep Learning Model
Department of Computer Science & Technology, Tsinghua University
Research Assistant, Advisor: Prof.Shutao Xia
Ø Proposed Adaptive Dropout for better regularization than original Dropout for CNN models.
Ø Utilized random learning rate to bring variance to the backpropagation gradient for better optimization and enhance the model’s robustness.
Music Generation Research and Engineering
Tsinghua University & Deep Music company
Research Assistant, Advisor: Prof. Xiaolin Hu
Ø Used Bi-LSTM, Seq2Seq and other LSTM models for music generation.
Ø Designed CNN based on resNet and Locally Connected CNN structure to replace the existing RNN generation model, achieving higher precision and speed in the task of sequence generation.
Ø Models were successfully used in Deep Music company and appeared on TV show “The Voice of China”.
Face Recognition Research
Research Intern, Mentor: Dr.Dong Li
Ø Designed face feature extraction network, using series structure such as Inception Block, Group Conv, IBNNet to improve network robustness and speed.
Ø Implemented face feature regularization methods from NormFace series of articles, and improved the optimization objective of the classification from the perspective of the angle.
Microsoft Congnitive Service Face API
Microsoft Research Asia (MSRA)
Intern, Mentor: Gang Chen (Principle Manager)
Ø Maintained Microsoft Face API’s customer-related code, developed face recognition related technology.
Ø AI composer MelodyMaster were selected as the demoware in the MSRA showroom and won Award of Most Creative in Microsoft Hackathon (2/12824 ).
Projects and Entrepreneurship
Industrial defect detection system
Wise Sense Company
Co-Founder & CTO
Ø Designed a defect detection system for the iPhone microphone production line involves the use of latest computer vision algorithms such as classification, segmentation, and detection.
Ø Based on DenseNet and InceptionResNet, implemented a fast classification model. The accuracy of 99.5% and the speed of 50 milliseconds per component were achieved. Core algorithm for a 0.2 billion $ detection system.
Music Auto-Accompaniment Software “SoundMix” and “ChordMixer”
SoundMix and ChordMixer Project
Ø Developed a smart audio recognition software on iOS by using Fast Fourier Transform Algorithm (FFT) to realize the recognition for the pitch of instruments.
Ø Finished road show in Tencent headquarter; won the second place (2/4000) and the Outstanding Creative Award (5/4000) in Tencent Innovation and Entrepreneurship Competition,.
Ø Purchased by the Beijing Mousse Company.
Ø Frameworks: Tensorflow, Keras, Pytorch, Flask, JQuery, Bootstrap
Ø Additional Skills: Product Presentation, Violin, Piano, Guitar, Composition, Design, Painting.