Yijie Zhong
Ph.D. Student at Tongji University
dun.haski@gmail.com zhongyj@tongji.edu.cn
I am a Ph.D. student at the Knowledge Computing Lab, Tongji University, supervised by Prof. Haofen Wang. I received my M.S. degree from Nanjing University in 2022, under the supervision of Prof. Zhengxing Sun. My research interests encompass information extraction, memory and retrieval mechanisms in Retrieval-Augmented Generation (RAG) and LLM Agents, with a particular focus on personal knowledge graph construction, personal information management, and personalized applications on intelligent devices. To date, I have published 16 papers in top-tier conferences and journals, 10 of which are first-authored. An additional 5 papers are currently under review.
News
Education
QS 2026 Subject Ranking: 16th Globally, 2nd in Asia
National Key Laboratory
Research Interests
- RAG
- LLM & MLLM Agent
- Memory Mechanism
- Information Extraction
- Personal Knowledge Management
- Salient & Camouflaged Object Detection
- Image Matting
- 3D Reconstruction
Publications
For a full list, please see publications page
Experience
- Explored RAG-based question answering and image captioning for photo album scenarios; designed a systematic image-to-text algorithm and built a textual memory bank to improve efficiency while comprehensively covering visual information
- Investigated image quality assessment methods and comparison scheme design
- Participated in the construction of the "Personal Data Foundation", exploring the transformation of multi-source heterogeneous user data from terminal devices into usable personal knowledge bases; identified end-to-end use cases transitioning from passive user input to proactive device triggering, and from passive application initiation to context-aware activation
- Designed personal schema and knowledge extraction algorithms for text data (SMS, email, memos, etc.) and built automated data construction pipelines; developed person intimacy mining and event detection algorithms for photo album images
- Explored memory write, storage, and retrieval mechanisms for massive input and interaction data, reducing noise, avoiding redundant computation, improving storage efficiency and retrieval accuracy, while supporting multi-type queries and diverse scenario requirements
- Collaborated closely with Celia, Theoretical Department, Advanced Computing and Storage Laboratory, and Terminal BG Pre-research Department to drive technology deployment; algorithms ultimately became trade secrets and entered Harmony 5.0 concept project and Harmony 5.1 technology pipeline
- Streamlined end-to-end business logic and data flow for the communications product channel sales platform across front, middle, and back offices
- Independently designed and developed new front-end components for emerging business requirements
Talks
2000+ attendees (in-person & remote)
Academic Service
Reviewed nearly 100 papers in total, and assisted in reviewing dozens of master's and doctoral theses as well as project application materials.