
NEWs​
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[June. 2025] I am attending CVPR'2025 in person at Nashville, shoot me a message if you want to meet and chat!
I'll be presenting MDP on 06/14 from 5–7 PM and giving a full-stack acceleration tutorial on 06/12 from 1–5 PM. Hope to see you there! -
[May. 2025] Our team won the first place at End-to-End Driving Challenge at CVPR 2025! We will be presenting our solution at this workshop.
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[Feb. 2025] Our paper MDP: Multidimensional Vision Model Pruning with Latency Constraint is accepted by CVPR'2025
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[Feb. 2025] We release our paper Enhancing Autonomous Driving Safety with Collision Scenario Integration on Arxiv.
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[Oct. 2024] Our paper Advancing Weight and Channel Sparsification with Enhanced Saliency is accepted by WACV'2025
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[May. 2024] We released our paper of Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint on Arxiv.
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[May. 2024] I joined as a full time in the Applied AV Perception Research team at NVIDIA !
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[Apr. 2024] I graduated from CS@Stanford with a Master of Science degree!
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[Jan. 2024] Our paper Refining Pre-trained Motion Models is accepted by ICRA'2024.
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[Oct. 2023] Our paper Towards Better Structured Pruning Saliency by Reorganizing Convolution is accepted by WACV'2024.
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[Sept. 2023] Started TA for Stanford CS330.
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[June. 2023] Returned to the AV perception research team at NVIDIA for another research internship!
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[June. 2023] Our paper Revisiting Deformable Convolution for Depth Completion is accepted by IROS'2023!
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[June 2023] My paper Pruning for Better Domain Generalizability is accepted by SCIS @ ICML'2023!
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[Mar. 2023] Our paper Hardware-Aware Latency Pruning for Real-Time 3D Object Detection is accepted by IV'2023!
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[Jan. 2023] Started TA for Stanford CS103 and joined Prof.Leo Guibas research lab!
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[Sept. 2022] Started grad school program at Stanford!
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[Apr. 2022] Accepted the grad offer from CS@Stanford!
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[Mar. 2022] Received the Bronze Tablet Award for my graduation!
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[Mar. 2022] Started a research internship at the AV perception research of NVIDIA!
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[Mar. 2022] Our paper DiSparse: Disentangled Sparsification for Multitask Model Compression is accepted by CVPR'2022. My first first-author top conference paper!
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[Dec. 2021] Graduated from ECE@ILLINOIS with a Bachelor of Science degree and a full GPA of 4.0 / 4.0 (Rank No.1)!