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 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

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• Zecheng Yin, Yizhou Zhu, Xiaomin Wu, Shuguang Cui, Zhen Li. EffiNav: Efficient ObjectNav Memory Navigation agent in Unknown Indoor Rnvironment(Under Review)

• Zecheng Yin, Shuguang Cui, Zhen Li. HyPerNav: Hybrid Perception for Object-Oriented Navigation in Unknown Environment, (Under Review)

• Zecheng Yin, Chonghao Cheng, Yinghong Liao, Zhihao Yuan, Shuguang Cui, Zhen Li. Navigation with VLM framework: Go to Any Language, (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%, CCF-B, Core B)

• 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%, CCF-B, Core B).

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

Academic Activities

• Host of workshop TopoCoT on behalf of Dr. Zhen Li in WACV2026
• Oral presentation in KSEM 2023
• Oral presentation in HIS 2022

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