Longrong Yang Ph.D. Student Institute of Artificial Intelligence, Zhejiang University Address: 38 Zheda Road, Xihu District, Hangzhou, Zhejiang, China, 310027 Email: longrongyang AT zju DOT edu DOT cn

Biography

Previously, I held the position of a M.S. Student at the Intelligence Vision and Information Processing Lab (IVIP Lab), School of Information and Communication Engineering, UESTC. Additionally, I had the privilege of spending an enriching six-month period working alongside Prof. Tongliang Liu at The University of Sydney, conducting research on Adversarial Learning. Currently, I am in my third year as a Ph.D. student at the Institute of Artificial Intelligence, Zhejiang University. My primary objective is to leverage artificial intelligence research to release productive capacities. In the past, I focused on Noisy Label Learning and Data Generation. Recently, I mainly focus on designing Efficient Artificial Intelligence System, especially for Large Vision-Language Models.

I am actively seeking internship opportunities. Here are my CV (Chinese) and CV (English). Please feel free to contact me if you believe I could be a good fit for your team.

Education Background

• B.S. student, 2015.09 - 2019.06
  University of Electronic Science and Technology of China, China

• M.S. student, 2019.09 - 2022.06
  University of Electronic Science and Technology of China, China, advised by Prof. Hongliang Li

• Ph.D. student, 2022.09 - 2026.06 (Expected)
  Zhejiang University, China, advised by Prof. Xi Li

Selected Publications

★ Efficient Artificial Intelligence System

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• Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model
  L. Yang, D. Shen, C. Cai, F. Yang, Z. Yang, S. Li, D. Zhang and X. Li
  ICLR 2025
  

• RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-based Continual Learning
  L. Yang, H. Zhao, Y. Yu, X. Zeng and X. Li
  ECCV 2024
  

• Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
  L. Yang, X. Zhou, X. Li, L. Qiao, Z. Li, Z. Yang, G. Wang and X. Li
  ICCV 2023
  

★ Data Generation

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• GCSTG: Generating Class-confusion-aware Samples with a Tree-structure Graph for Few-shot Object Detection
  L. Yang, H. Zhao, H. Li, L. Qiao, Z. Yang and X. Li
  T-IP 2024
  

• Bias-correction Feature Learner for Semi-supervised Instance Segmentation
  L. Yang, H. Li, Q. Wu, F. Meng, H. Qiu and L. Xu
  T-MM 2022
  

• Mono is Enough: Instance Segmentation from Single Annotated Sample
  L. Yang, H. Li, Q. Wu, F. Meng and N. N. King
  VCIP 2020
  

★ Noisy Label Learning

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• Task-Specific Loss for Robust Instance Segmentation with Noisy Class Labels
  L. Yang, H. Li, F. Meng, Q. Wu and N. N. King
  T-CSVT 2021
  

• Learning with Noisy Class Labels for Instance Segmentation
  L. Yang, F. Meng, H. Li, Q. Wu and Q. Cheng
  ECCV 2020
  

Preprints

• Libra-Merging: Importance-redundancy and Pruning-merging Trade-off for Acceleration Plug-in in LVLM
  L. Yang, D. Shen, C. Cai, K. Chen, F. Yang, Z. Yang, S. Li, D. Zhang and X. Li
  2024
  

Awards

• National Scholarship, 2021.

• Outstanding Undergraduate Thesis, 2019.

• Outstanding Graduate Thesis, 2022.

• Outstanding Graduate Student in Sichuan Province, 2022.

• Outstanding Master Thesis awarded by Chinese Institute of Electronics, 2022.

Academic Service

• Conference Reviewer: CVPR 2022-2025, ECCV 2022-2024, ICCV 2023, NeurIPS 2023-2024, ICLR 2024-2025, etc.

• Journal Reviewer: TCSVT, Neural Network, etc.

Internship

• Kuaishou Technology, 2024.03 - 2024.09

Topic: Large Vision-Language Model; Mixture-of-Experts (MoE); Token Merging

© Longrong Yang | Last update: December 2024