Short Bio:

Hi, I'm Tianlang Chen. Now I'm a fifth year PhD in Computer Science at University of Rochester. I'm strongly interested in Computer Vision and Social Media Data Mining. Please check my new personal webpage.

Skills:

Programming Language: Python, Java, C++, Lua

Tools & Framwork: Pytorch, Caffe, Tensorflow, Keras, Spark, Matlab

Publication:

Tianlang Chen, Chen Fang, Xiaohui Shen, Yiheng Zhu, Zhili Chen and Jiebo Luo, "Anatomy-aware 3D Human Pose Estimation with Bone-based Decomposition," IEEE Transactions on Circuits and Systems for Video Technology. (paper) (code)

Tianlang Chen, Wei Xiong, Haitian Zheng, Jiebo Luo, "Image Sentiment Transfer," Brave and New Ideas Track, ACM Multimedia Conference, Seattle, WA, October 2020. (Oral Presentation) (paper) (dataset)

Zhengyuan Yang, Tushar Kumar, Tianlang Chen, Jinsong Su, Jiebo Luo, "Grounding-Tracking-Integration," IEEE Transactions on Circuits and Systems for Video Technology.

Tianlang Chen, Jiajun Deng and Jiebo Luo, "Adaptive Offline Quintuplet Loss for Image-Text Matching," European Conference on Computer Vision (ECCV), ONLINE, August 2020. (paper) (code)

Zhengyuan Yang, Tianlang Chen, Liwei Wang and Jiebo Luo, "Improving One-stage Visual Grounding by Recursive Sub-query Construction," European Conference on Computer Vision (ECCV), ONLINE, August 2020. (paper) (code)

Haitian Zheng, Haofu Liao, Lele Chen, Wei Xiong, Tianlang Chen and Jiebo Luo, "Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision," European Conference on Computer Vision (ECCV), ONLINE, August 2020. (paper) (code)

Tianlang Chen and Jiebo Luo, "Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching," AAAI Conference on Artificial Intelligence (AAAI), New York, NY, February 2020. (paper)

Tianlang Chen, Zhaowen Wang, Ning Xu, Hailin Jin and Jiebo Luo, "Large-scale Tag-based Font Retrieval with Generative Feature Learning," International Conference on Computer Vision (ICCV), Seoul, South Korea, October 2019. (paper) (dataset)

Zhongping Zhang, Youzuo Lin, Zheng Zhou, Tianlang Chen, "Adaptive Filtering for Event Recognition from Noisy Signal: an Application to Earthquake Detection," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019.

Tianlang Chen, Zhongping Zhang, Quanzeng You, Chen Fang, Zhaowen Wang, Hailin Jin and Jiebo Luo, "Factual or Emotional: Stylized Image Captioning with Adaptive Learning and Attention," European Conference on Computer Vision (ECCV), Munich, Germany, September 2018. (paper)

Zhongping Zhang, Tianlang Chen, Zheng Zhou, Jiaxin Li, Jiebo Luo, "How to Become Instagram Famous: Post Popularity Prediction with Dual-Attention," IEEE International Conference on Big Data (Big Data), Seattle, WA, December 2018.

Tianlang Chen, Yuxiao Chen, Han Guo, Jiebo Luo, "You Type a Few Words and We Do the Rest: Image Recommendation for Social Multimedia Posts," IEEE International Conference on Big Data (Big Data), Seattle, WA, December 2018.

Tianlang Chen, Yuxiao Chen, Han Guo and Jiebo Luo, "When E-commerce Meets Social Media: Identifying Business on WeChat Moment Using Bilateral-Attention LSTM," The Web Conference (WWW), Lyon, France, April 2018.

Tianlang Chen, Chenliang Xu, Jiebo Luo, "Improving Text-based Person Search by Spatial Matching and Adaptive Threshold," Winter Conference on Computer Vision (WACV), Lake Tahoe, NV, March 2018. (paper)

Honglin Zheng, Tianlang Chen, Quanzeng You, Jiebo Luo, "When Saliency Meets Sentiment: Understanding How Image Content Invokes Emotion and Sentiment," International Conference on Image Processing (ICIP), Beijing, China, September 2017.

Tianlang Chen, Yuxiao Chen and Jiebo Luo, "A Selfie is Worth a Thousand Words: Mining Personal Patterns behind User Selfie-posting Behaviours," World Wide Web Conference (WWW), Perth, Australia, April 2017.

Experience:

Research Intern (2020.5-2020.8), Google Research, Mountain View, CA

Research Intern (2019.5-2019.8), ByteDance AI Lab, Palo Alto, CA

Research Intern (2018.5-2018.8), Adobe Inc., San Jose, CA

Research Intern (2017.5-2017.8), Tencent Youtu Lab, China

Research Intern (2015.7-2015.9), Institute of Computing Technology (ICT), CAS, China

Teaching Assistant:

2017 Spring:

CSC 265/465 INTERMED STATISTICAL METHODS

Office hours: M/T 10:30pm-12:00pm, CSB 727

2017 Fall:

CSC 240/440 Data Mining

Office hours: M/T 3:30pm-4:30pm, Wegmans Hall 3506

2018 Fall:

CSC 240/440 Data Mining

Office hours: Tues/Thur 2:00pm-3:00pm, Wegmans Hall 3506

Course:

2018 Fall:

CSC 447 NATURAL LANGUAGE PROCESSING

2018 Spring:

CSC 452 COMPUTER ORGANIZATION

2017 Fall:

CSC 577 ADV. TOP. IN COMP VISION

CSC 481 CRYPTOGRAPHY

2017 Spring:

CSC 484 ADVANCED ALGORITHIMS

CSC 446 MACHINE LEARNING

2016 Fall:

CSC 440 DATA MINING

CSC 456 OPERATING SYSTEMS

CSC 400 PROBLEM SEMINAR