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Assessing your cultural and operational fit
VITA-Audio
April 23, 2025 – May 24, 2025
✨✨[NeurIPS 2025] VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model
View ProjectLong-VITA
December 14, 2024 – May 14, 2025
✨✨Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy
View ProjectVITA
August 27, 2024 – October 28, 2025
The official implement of VITA, VITA15, LongVITA, VITA-Audio, VITA-VLA, and VITA-E.
View ProjectAPE
August 25, 2023 – May 8, 2024
[CVPR 2024] Aligning and Prompting Everything All at Once for Universal Visual Perception
View ProjectAwesome-Multimodal-Large-Language-Models
May 19, 2023 – Present
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
View ProjectUWSOD
September 28, 2020 – March 30, 2021
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
View ProjectDRN-WSOD-pytorch
July 4, 2020 – October 3, 2023
Enabling Deep Residual Networks for Weakly Supervised Object Detection
View ProjectDRN-WSOD
July 4, 2020 – March 25, 2021
Enabling Deep Residual Networks for Weakly Supervised Object Detection
View ProjectNA-fWebSOD
February 25, 2020 – March 25, 2021
Noise-Aware Fully Webly Supervised Object Detection
View Projectfortune-zh
November 9, 2015 – July 22, 2017
中国古诗词版的Fortune。Chinese Ancient Poetry/Poem Fortune.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards academic research in AI/ML, specifically large language models and object detection. While technically impressive, there is a significant mismatch with the 'Frontend Developer' target role. The technologies used (Python, Cuda, C++, Shell) are not typically core to frontend development, and there is limited evidence of frontend-specific skills (e.g., modern JavaScript frameworks, CSS preprocessors, UI/UX principles) beyond a mention of HTML and JavaScript in one project ('VITA'). This indicates a low cultural fit for a dedicated frontend role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are highly technical and research-focused, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.