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Welcome New MCL Member Jiazhi Li

We are so glad to welcome our new MCL member, Jiazhi Li! Jiazhi is a summer intern in MCL. Here is a short interview with Jiazhi:

1. Could you briefly introduce yourself and your research interests?

My name is Jiazhi Li, a graduate student in Department of Electrical and Engineering of USC. I grew up in Beijing, the capital of China. I received my bachelor’s degree in electrical engineering from Beijing Institute of Technology. During that time, I have worked in Research Group of Medical Information Processing. What’s more, in summer 2017, I have worked in Advanced Integrated Cyber-Physical Systems (AICPS) in University of California, Irvine. After these experiences, I found my interests in computer vision and autonomous driving.

2. What is your impression about MCL and USC?

I have been USC for two semesters, and I’m really impressed by the diversity of USC. The MCL is really a big warm family. The weekly report and weekly meeting push me make progress every week. Also, the pizza party before the seminar encloses the MCL member. What’s more, the seminar is very impressive. One hour per week gives a quick look about research topic of other member, which really extend my interests.

3. What is your future expectation and plan in MCL?

The experiences to do research and learn from other members in MCL is really a treasure for me. I will keep going. Stay hungry for more methods and theories of computer vision and machine learning. What’s more, I will take full advantage of the opportunity to study under the supervision of Prof. Jay Kuo. I believe such experiences will give me a lot in further future.

 

By |August 18th, 2019|News|Comments Off on Welcome New MCL Member Jiazhi Li|

Welcome New MCL Member Wenxuan Li

We are so glad to welcome our new MCL member, Wenxuan Li! Wenxuan is a summer intern in MCL. Here is a short interview with Wenxuan:

1. Could you briefly introduce yourself and your research interests?

My name is Wenxuan Li. I’m a graduate student pursuing master’s degree in Electrical Engineering at USC. I am from a city called Nanjing, which is in the eastern part of China. Prior to coming to USC, I achieved my bachelor’s degree in Electrical Engineering and Automation from Beijing Institute of Technology, 2017. I found my strong interest in machine learning during my curriculum study in EE program. I am also fascinated by image processing problems.

2. What is your impression about MCL and USC?

I was deeply impressed by the beautiful campus when I came to USC for the first time. Students here are full of confidence and passion for learning. USC also offers us great opportunities both in industry and academia. MCL is like a family that strongly connects its members. Everyone here not only focuses on their research topics but also is willing to share and offer help. MCL gives the opportunities to challenge ourselves with frontier research problems

3. What is your future expectation and plan in MCL?

I am working on style transfer topic this summer and hope to learn more about generative model and feature extraction of neural networks. MCL is a great platform to meet people and gain skills. Under insightful guidance from Prof. Kuo and thoughtful advice from PhD mentors, I will quickly expand and improve necessary skills for research.

 

By |August 11th, 2019|News|Comments Off on Welcome New MCL Member Wenxuan Li|

Welcome New MCL Member Shiyu Mou

We are so glad to welcome our new MCL member, Shiyu Mou! Shiyu is a summer intern in MCL. Here is a short interview with Shiyu:

1. Could you briefly introduce yourself and your research interests?

My name is Shiyu Mou, I am a second-year graduate student at USC pursuing a Master’s degree in Electrical and Computer Engineering. I developed a passion for computer vision since undergrad and I started to work on learning-based computer vision projects since grad school, especially 3D computer vision. I’ve been researching on real-world projects for a while now. My previous research experiences include learning-based 3D shape inpainting and 3D human pose estimation from videos.

2. What is your impression about MCL and USC?

MCL is a creative community. Students in the Lab led by Prof. Kuo have the courage to work on something new. They always think things mathematically and logically. During the summer, I am involved in a company project with my mentors and we are trying to overcome some serious real-world challenges. Prof. Kuo is also super supportive and he always brings up creative inspirations for our problems. It’s been a great pleasure to work in MCL.

3. What is your future expectation and plan in MCL?

I am working on a summer project on object classification. Hope I can finish this project with some milestones. I enjoyed my summer internship here and would definitely like to come back MCL in the future.

 

By |August 4th, 2019|News|Comments Off on Welcome New MCL Member Shiyu Mou|

Welcome New MCL Member Muhan Li

We are so glad to welcome our new MCL member, Muhan Li! Here is a short interview with Muhan:
1. Could you briefly introduce yourself and your research interests?

My name is Muhan Li, a graduate student in USC Viterbi School of Engineering. I come from China. My major is Electrical Engineering. Before coming to USC, I received my Bachelor degree from North China Electric Power University. This summer, I join MCL and start a time series project with Prof. Kuo and my mentors (Ruiyuan, Zhiruo and Shuiyang). I’m interested in machine learning and have taken many courses related to this topic. So, it’s glad for me to participate in an interesting project with excellent people in MCL.

2. What is your impression about MCL and USC?

I think MCL is like a big family with many lovely members. Prof. Kuo and my mentors are all enthusiastic and thoughtful person. They provide plenty of helpful suggestions and extra insights to me. When I seek help from other students in MCL, everyone is willing to help, too. I feel so lucky to meet many friends who has same hobby and interests as me in USC. We can do things we both love and gain happiness together.

3. What is your future expectation and plan in MCL?

I hope I can make crucial progress in current research under the supervision of Prof. Kuo and with the help of my mentors. If possible, I want to explore more interesting topics in the field of machine learning and improve myself to be prepared for pursuing PhD.

 

By |July 29th, 2019|News|Comments Off on Welcome New MCL Member Muhan Li|

Welcome New MCL Member Shuiyang Mao

We are so glad to welcome our new MCL member, Shuiyang Mao! Here is a short interview with Shuiyang:

1. Could you briefly introduce yourself and your research interests?

Hi, I’m Shuiyang Mao, Fernando, a Year Three Ph.D. student (entering my fourth year) from DSP Lab, The Chinese University of Hong Kong (CUHK). I grew up in a coastal city called Ningbo located in the eastern China. In 2013, I received my bachelor’s degree in physics from Xiamen University, China. I was working as a hardware engineer on signal processing in R&D Department, Ningbo Zhendong Optoelectronics CO.,LTD. from Jul. 2013 to Jun. 2015. I then joined Micro Sensor Group, Chinese Academy of Sciences, working as a research assistant on chemical gas pattern recognition from Jul. 2015 to Jan. 2016. I started my Ph.D. study in CUHK in Aug. 2016. Since then, I was mainly focusing on speech signal processing and machine learning. My research interest covers deep learning, speech emotion detection, automatic speech recognition and related fields.

2. What is your impression about MCL and USC?

I am impressed by the diversity of the USC campus and perfect sun shine of California. I have met a bunch of amazing and smart people here. The MCL is a big warm family and Prof. Jay Kuo is super nice and enthusiastic. I like the regular project meeting very much, where we can share our experience and learn from prof. Kuo’s knowledge and wisdom. The weekly seminar is also very impressive, from which I have seen several quality works and sharings that inspire me a lot.

3. What is your future expectation and plan in MCL?

I cherish this precious opportunity to have exposure of doing research in a different environment and learn [...]

By |July 21st, 2019|News|Comments Off on Welcome New MCL Member Shuiyang Mao|

Welcome New MCL Member Chaitra Suresh

We are so glad to welcome our new MCL member, Chaitra Suresh! Here is a short interview with Chaitra:
1. Could you briefly introduce yourself and your research interests?
 My name is Chaitra Suresh. I am a graduate student at USC, pursuing Master of Science in Electrical Engineering. I am from Bangalore, India. Prior to joining USC in Fall 2018, I worked at Bharti Airtel Limited for a year. I received my Bachelor’s degree in Electronics and Communication Engineering from R.V. College of Engineering, India in 2017. My current research interests include application of Machine learning in Computer Vision and Natural Language Processing.  
2. What is your impression about MCL and USC?
 USC has a very diversified culture with integrity. The institution has a lot of ongoing research activity with ample opportunities. Media Communications Lab led by Prof. C.-C. Jay Kuo facilitates working on emerging interdisciplinary areas. I have come across with lab members who work hard with determination and zeal. MCL has been a platform to acquire necessary skill to be a researcher. I am very glad to be onboard.
3. What is your future expectation and plan in MCL?
The lab environment with weekly meeting and seminar facilitates me to learn and adapt to recent developments. I am looking forward to the constant process of learning and understanding concepts under the guidance of Prof. C.-C. Jay Kuo. The ability to think differently drives me to gain experience in my research interest.
 

By |July 15th, 2019|News|Comments Off on Welcome New MCL Member Chaitra Suresh|

Welcome New MCL Member Vaishnavi Krishnamurthy

We are so glad to welcome our new MCL member, Vaishnavi Krishnamurthy! Here is a short interview with Vaishnavi:
1.    Could you briefly introduce yourself and your research interests?
My name is Vaishnavi Krishnamurthy and I am a graduate student at USC pursuing Masters in Electrical engineering with focus on image processing and machine learning. I hail from a city called Bengaluru which is located in the southern part of India. I completed my Bachelors degree in Electronics and Communication Engineering at Rashtreeya Vidyalay College of Engineering, Bengaluru. Post my undergrad studies and prior to joining USC, I worked as a Senior Executive at Bharti Airtel, Gurugram in Networks for a year. 
Broadly, my research interest lies in solving the current challenges in image processing using deep learning approach. I developed interest in this field when I was working on a biomedical imaging project that aimed at brain tissue segmentation for tumor detection. Currently, I am continuing my research on semantic image segmentation at the MCL lab in USC.
2.    What is your impression about MCL and USC?
In my initial days at USC, I felt that the coursework was challenging and it took a while for me to cope with the fast paced curriculum. The student life at USC has taught me that consistency is the key to achieve excellence in any given field. For a toddler in research like me, MCL lab has provided an extremely conducive environment to be in. Working under the guidance of Prof. Jay Kuo and his extremely motivated and helpful bunch of PhD students has been an amazing experience and I wish to utilize this opportunity to learn more and hone my research skills.
3.    What is [...]

By |July 8th, 2019|News|Comments Off on Welcome New MCL Member Vaishnavi Krishnamurthy|

Welcome New MCL Member Ranga Sai Shreyas Manchikanti

We are so glad to welcome our new MCL member, Ranga Sai Shreyas Manchikanti! Here is a short interview with Shreyas:
1. Could you briefly introduce yourself and your research interests?
My name is Ranga Sai Shreyas Manchikanti (long! I know). I am a graduate student studying for the Master’s degree in Electrical Engineering. I have spent almost my entire life in a city in southern India called Bangalore before coming to USC. I did my undergraduate degree from National Institute of Technology Karnataka, Surathkal in Electronics and Communication Engineering. I was working at Goldman Sachs as a Software Developer for the past 3 years before joining the graduate program. I have a strong passion towards computer vision and it’s application in everyday life. Specifically, I am very motivated to work in robotics where the images captured by the robot perform a huge role in understanding the environment and performing actions to navigate in the environment.
2. What is your impression about MCL and USC?
Since I joined USC, I have had the chance to meet amazing people all around me. The environment provided by the USC campus inspires me to work had and improve myself. Also, the various facilities available at USC are state of the art and I am very glad to have come to this place for my Master’s degree. MCL is a first research group that I have ever been a part of. I feel that there are a lot of highly skilled and motivated people here at MCL and I am very happy to have the opportunity to work with so many talented people. The weekly gathering of MCL members is also a great activity that helps me to [...]

By |July 1st, 2019|News|Comments Off on Welcome New MCL Member Ranga Sai Shreyas Manchikanti|

MCL Research on CNN Ensembles

CNN technology provides state-of-the-art solutions to many image processing and computer vision problems. Given a CNN architecture, all of its parameters are determined by the stochastic gradient descent (SGD) algorithm through backpropagation (BP). The BP training demands a high computational cost. Furthermore, most CNN publications are application-oriented. There is a limited amount of progress after the classical result in [1]. Examples include explainable CNNs [2,3,4] and feedforward designs without backpropagation [5,6].

The determination of CNN model parameters in the one-pass feedforward (FF) manner was recently proposed by Kuo et al. in [6]. It derives network parameters of a target layer based on statistics of output data from its previous layer. No BP is used at all. This feedforward design provides valuable insights into the CNN operational mechanism. Besides, under the same network architecture, its training complexity is significantly lower than that of the BP design CNN. FF-designed and BP-designed CNNs are denoted by FF-CNNs and BP-CNNs, respectively.

We focus on solving the image classification problem based on the feedforward-designed convolutional neural networks (FF-CNNs) [6]. An ensemble method that fuses the output decision vectors of multiple FF-CNNs to solve the image classification problem is proposed. To enhance the performance of the ensemble system, it is critical to increasing the diversity of FF-CNN models. To achieve this objective, we introduce diversities by adopting three strategies: 1) different parameter settings in convolutional layers, 2) flexible feature subsets fed into the Fully-connected (FC) layers, and 3) multiple image embeddings of the same input source. Furthermore, we partition input samples into easy and hard ones based on their decision confidence scores. As a result, we can develop a new ensemble system tailored to hard samples to further boost classification accuracy.  Although [...]

By |February 26th, 2019|News|Comments Off on MCL Research on CNN Ensembles|

Welcome New MCL Member Haoxuan You

Welcome New MCL Member Haoxuan You! Here is an short interview with Haoxuan:

1. Could you briefly introduce yourself and your research interests?

My name is Haoxuan You. I received my bachelor’s degree at Xidian University in China last July and spent my gap year at Tsinghua University as a research assistant. Now I am having my six-month visiting at USC. Generally speaking, my research interest lies in computer vision and machine learning. I hope to model the 3D environment by effectively 3D data processing.

2. What is your impression about MCL and USC?

The first impression of USC to me is the sunshine and beautiful campus. Then I found MCL a warm and big family with very kind people. The seminar lunch, the group meeting all give me a good opportunity to get involved in and help me to broaden my horizon. I feel really lucky to be with these lovely friends.

3. What is your future expectation and plan in MCL?

I hope to have a better understanding of how to be a good researcher and independent thinker from Prof. Kuo and other MCL members. And I wish to do some more valuable work such as the interpretable network in 3D data processing and 3D object detection.

By |February 16th, 2019|News|Comments Off on Welcome New MCL Member Haoxuan You|