I gained rich experience of teaching and communication through being a teaching assistant for courses including "Computer Vision", "Neural Networks", "Reasoning Under Uncertainty", "Introduction to Problem Solving with Computers", etc.

I worked with Xiaohui Shen, Xiaojie Jin, and Longyin Wen on localizing clips in videos with natural language descriptions.

• Reproduced and visualized results from state-of-the-art models (DRN, LGI, CMINS). Analyzed and compared datasets (ActivityNet-Captions, Charades-STA, TACoS).

• Implemented a graph convolutional net to reason the target clip with language syntactics.

• Designed an attention mechanism to leverage object detection results to associate frames with nouns in sentences.

I worked with Zhe Lin, Scott Cohen, and Trung Bui on large-scale visual grounding. Our work was published on CVPR 2020 as “PhraseCut: Language-based Image Segmentation in the Wild”.

I worked with Nick Johnston, George Toderici, David Minnen, and Michele Covell on deep image compression.

• Implemented a U-Net image compression model with quantizers and binarizers on skip connections at different levels.

• Designed and tuned the training procedure to analyze the effectiveness of each skip connection.

• Enabled different trade-offs between compression size and quality by turning on and off some skip connections.