Zecheng Yin

Zecheng Yin

Researcher at CUHK(Shenzhen) & FNii-Shenzhen

Zecheng Yin

Hi there! I’m glad that you clicked! I’m a fanatic about cutting-edge research about Robotics, VLM/LLM, Computer Vision and Graph Data mining, AI4science.

I am currently a researcher and engineer in Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen) led by fellow of Canadian Academy of Engineering, Shuguang Cui about robotics navigation and VLMs and working closely with Yatong Han and Prof. Zhen Li in The Chinese University of Hong Kong(Shenzhen).

I was advised by Prof. Yanchun Zhang and Hong Yang in the area of Medicine data mining at Guangzhou University when in M.S.. During this period, I had an internship as an algorithm engineer at Kuaishou for NLP data mining and an internship as an algorithm engineer at IDEA for financial graph malware detection.

I was advised by Prof. Jin Li in the area of Federated Learning and Attack at Guangzhou University when in B.S..

Publications

======

  • Benchmarking VLM & Non-VLM Object-Oriented Navigation and Fully Exploration in HM3D Scenes, (On-Going)

  • Zecheng Yin, Chonghao Cheng, Yinghong Liao, Zhihao Yuan, Shuguang Cui, Zhen Li. Navigation with VLM framework: Go to Any Language, IROS’25 (Under Review)

  • Zecheng Yin, ResMGCN: Residual Message Graph Convolution Network for Fast Biomedical Interactions Discovering, Arxiv2023

  • Zecheng Yin, Jinyuan Luo, Yuejun Tan, Yanchun Zhang, TCMCoRep: Traditional Chinese Medicine Data Mining with Contrastive Graph Representation Learning, KSEM’23 (acceptance rate: 23.1%)

  • Zecheng Yin, Yingpei Wu, and Yanchun Zhang. HGCL: Heterogeneous Graph Contrastive Learning for Traditional Chinese Medicine Prescription Generation, HIS’22 (acceptance rate: 27.78%)

  • Yingpei Wu, Zecheng Yin, Kaiyuan Zhou, Ruofei Wang, Yun Yang, Zepeng Yin, Chunyang Ruank, Yanchun Zhang. A hybrid-scales graph contrastive learning framework for discovering regularities in traditional Chinese medicine formula, BIBM’21 (acceptance rate: 19.6%).

Education

  • Ph.D Looking for it!
  • M.S. in Guangzhou, Guangzhou University, 2020-2023, advised by Yanchun Zhang.
  • B.S. exchange student in Seattle, University of Washington, 2018-2018, by Melody Su
  • B.S. in Guangzhou, Guangzhou University, 2016-2020

Experience

  • 2023 - now: Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen)
    • Research Institute at The Chinese University of Hong Kong(Shenzhen)
    • Duties includes: Robotics, Navigation
    • Supervisor: Zhen Li
  • 2024 - now: Infused Synapse AI
    • Startup Company in Embodied AI
    • Duties includes: Implementing cutting-edge research to reality
  • 2023.9-2023.12: IDEA(Intern)
    • Internatinal Digital Economy Academy(IDEA) at Shenzhen
    • Graph Mining and Anomaly Detection in financial
    • Supervisor: PostDoc. Yiyan Qi
  • 2021.6-2022.8: Kuaishou(Intern)
    • Natual Language Processing Engineering
    • Duties included: Text mining and alignment via transformer fusion, Word2Vec; Pulling data via SQL
  • 2018 - 2019: Research Assistant
    • Guangzhou University
    • Federated Learning and Attack
    • Supervisor: Jin Li