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About Me
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Posts
Birthday Celebration for Prof. Wing Hung Wong
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The past few days have been really special for me and many others who were fortunate to celebrate Professor Wing Hung Wong’s birthday. He turned 70 and a symposium on Statistics and Data Science in Bioinformatics and Biomedicine was held at Stanford, where the speakers were mainly his former PhDs and Postdocs. It was a precious opportunity for me to talk to so many outstanding Wonglab alumni, who are now professors at Harvard, Berkeley, Duke, U Penn, Michigan, UCAL, UCSD, etc. I also felt very lucky to talk to many pioneers, such as Michael Waterman. As I accompanied Michael and several other professors back to hotel, I was reminded of the time when I learned the Smith-Waterman algorithm as a beginner in the field of computational biology.
The Best Football Story!
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This has been a INSANE football year where the greatest players Messi and Ronaldo made a transfer to PSG and MU, repectively. I has been following news from different social media platforms these days and obviously Ronaldo was closed to sign Manchester City. It is actually not a good taste in my heart as I know many MU fans will be disppointed. I woke up in the morning and found that transfer of Ronaldo has been officially announced. I did not feel very excited at the first time until she told me that it was Manchster United! I’m still shocking how MU made it happen in such a few hours.
A Faithful Football Fan
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Alongside the academic research, I devote much of my extracurricular time to watching football matches and playing football games. I am a super fan of Real Madrid. My favorite player is Cristiano Ronaldo, although he was transferred to Juventus in 2018, which made me kinda heart-broken. Ronaldo had a tough childhood and faced many difficulties during his early career, but he kept going and pursued his goal and finally becomes one of the best football players in history . His toughness, persistence and passion for his career really motivate me a lot.
portfolio
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publications
Boost Neural Networks by Checkpoints
Published in , 1900
[Paper]
Incorporating Gene Expression in Genome-wide Prediction of Chromatin Accessibility via Deep Learning
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Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
Published in , 1900
Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer
Published in , 1900
[Paper]
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
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Density estimation using deep generative neural networks
Published in , 1900
A Sequence-based Method to Predict the Impact of Regulatory Variants Using Random Forest
Published in BMC Systems Biology, 2017
Recommended citation: Qiao Liu, Mingxin Gan and Rui Jiang BMC Systems Biology, 2017.
Chromatin Accessibility Prediction via a Hybrid Deep Convolutional Neural Network
Published in Bioinformatics, 2017
Recommended citation: Qiao Liu, Xia Fei, Qijin Yin and Rui Jiang. Bioinformatics, 2017.
hicGAN Infers Super Resolution Hi-C Data With Generative Adversarial Networks
Published in ISMB 2019/Bioinformatics, 2019
Recommended citation: Qiao Liu, Hairong Lv, and Rui Jiang. The 27th conference on Intelligent Systems for Molecular Biology. ISMB 2019.
Quantifying Functional Impact of Noncoding Variants with Multi-task Bayesian Neural Network
Published in Bioinformatics, 2019
Recommended citation: Chencheng Xu, Qiao Liu, Jianyu Zhou, Minzhu Xie, Jianxing Feng and Tao Jiang. Bioinformatics, 2019.
Simultaneous Deep Generative Modeling and Clustering of Single-cell Genomic Data
Published in , 1900
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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