The TMG research group is a vibrant and innovative team dedicated to advancing the frontiers of artificial intelligence, next-generation operating systems, and intelligent system software. Founded by Professor Jie Yu, director of the Domestic Basic Software Engineering Research Center at College of Computer Science and Technology, National University of Defense Technology (NUDT), TMG brings together passionate researchers, industry experts, and talented students to drive groundbreaking discoveries and real-world applications in emerging technologies.
🔬 Research Areas
🖥️ Next-generation Operating System
- AIOS / LLM-Powered Agent OS
- RISC-V oriented OS architecture design
- Mobile OS
🤖 Large Language Model
- LLM-Powered Agent
- LLM Compression
- LLM Knowledge Edit
- LLM Security
- LLM Fine-tuning
- LLM Inference Acceleration
- Multi-modal LLM
📝 Publications
2025
- Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu, Jun Ma, Jie Yu, See-Kiong Ng. Towards Verifiable Text Generation with Generative Agent. AAAI.
- Binrui Zeng, Bin Ji, Xiaodong Liu, Jie Yu, Shasha Li, Jun Ma, Xiaopeng Li, Shangwen Wang, Xinran Hong, Yongtao Tang. LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment, IJCNN
- Xiaopeng Li, Shangwen Wang, Shasha Li, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Bin Ji, Weimin Zhang. Model Editing for LLMs4Code: How Far are We? ICSE
- Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji, Xi Wang, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Weimin Zhang. SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering AAAI
- Xiaopeng Li, Shasha Li, Shangwen Wang, Shezheng Song, Bin Ji, Huijun Liu, Jun Ma, Jie Yu, Identifying Knowledge Editing Types in Large Language Models, KDD
- Luxiang Guo, Yueyu Wang,Qianyue Li,Shasha Li, Xiaodong Liu, Bin Ji and Jie Yu.大语言模型智能体操作系统研究综述(计算机科学 CCF-T2)
- Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Yuhao QING, Dong HUANG, Terry Yue Zhuo, Qian Liu, See-Kiong Ng. CodeArena: A Collective Evaluation Platform for LLM Code Generation. ACL 2025 System Demonstration Track.
- Mingzhe Du, Anh Tuan Luu, Xiaobao Wu, Yichong Huang, Yue Liu, Dong HUANG, Huijun Liu, Bin Ji, Jie M. Zhang, See-Kiong Ng. Collective Bias Mitigation via Model Routing and Collaboration, ICML workshop.
- 纪斌, 刘晓东, 彭龙. 大模型时代智能操作系统现状与展望, CCCF-计算, 1(3)
- Zhang Ying, Lyu Chen, Chang Lu, Hong Yang, Ji Bin, Wei Ling-Yun. Insights into the Opportunities and Development of Intelligent Healthcare: A Systematic Review of Automated ICD Coding Models Using the MIMIC Dataset Digital Health
2024
- Xiaopeng Li, Shasha Li, Shezheng Song, Jing Yang, Jun Ma, Jie Yu. Pmet: Precise model editing in a transformer, AAAI
- Shezheng Song, Shan Zhao, Shasha Li, Chengyu Wang, Tianwei Yan, Xiaoguang Mao, Meng Wang. A Dual-way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking, AAAI
- Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng. From Static to Dynamic: Knowledge Metabolism for Large Language Models. AAAI.
- Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, Hai Jin. Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. ACL(Findings).
- Mingzhe Du, Anh Tuan Luu, Bin Ji, Qian Liu, See-Kiong Ng. Mercury: A Code Efficiency Benchmark for Code Large Language Models. NeurIPS.
- Huijun Liu, Bin Ji, Jie Yu, Shasha Li, Jun Ma, Miaomiao Li, Xi Wang. Offline Textual Adversarial Attacks against Large Language Models. IJCNN.
- Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng. Chain-of-Thought Improves Text Generation with Citations in Large Language Models. AAAI.
- Jie Yu, Feilong Bao, NYIMA Tash, Luxiang Guo, Yongtao Tang, Shasha Li, Si Zheng, Xiaodong Liu, Jun Ma, Zhuo Li, Yiqing Wang, Jianfeng Li. 基于通用大模型的民族语言大模型构建技术,中文信息学报(CCF-T1)
2023
- Huijun Liu, Bin Ji, Jie Yu, Shasha Li, Jun Ma, Zibo Yi, Mengxue Du, Miaomiao Li, Jie Liu, Zeyao Mo. A More Context-aware Approach for Textual Adversarial Attacks using Probability Difference-guided Beam Search, TKDE
- Mengxue Du, Shasha Li, Jie Yu, Jun Ma, Huijun Liu, Miaomiao Li, Bin Ji. DADR: A Denoising Approach for Dense Retrieval Model Training, APWeb-WAIM
- Xi Deng, Shasha Li, Jie Yu, Jun Ma. HM-Transformer: Hierarchical Multi-modalTransformer for Long Document Image Understanding, APWeb-WAIM
- Miaomiao Li, Jie Yu, Jun Ma, Shasha Li, Huijun Liu, Mengxue Du. QAE: A Hard-label Textual Attack Considering the Comprehensive Quality of Adversarial Examples, NLPCC
- Yingwei Ma, Yue Yu, Shanshan Li, Zhouyang Jia, Jun Ma, Rulin Xu, Wei Dong, Xiangke Liao. MulCS: Towards a Unified Deep Representation for Multilingual Code Search, SANER
- Jing Yang, Bin Ji, Shasha Li, Jun Ma, Long Peng, Jie Y. Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction, PAKDD
- Xintong Zhang, Shasha Li, Bin Ji, Ting Wang. Learning Well-Separated and Representative Prototypes for Few-Shot Event Detection. NLPCC
- Yi Bin, Wenhao Shi, Bin Ji, Jipeng Zhang, Yujuan Ding, Yang Yang. Non-Autoregressive Sentence Ordering. EMNLP (Findings) 2023.
2022
- Bin Ji, Shasha Li, Jie Yu, Jun Ma, Huijun Liu, Jing Yang. Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition, TKDE
- Jing Yang, Bin Ji, Shasha Li, Jun Ma, Jie Yu. SciCN: A Scientific Dataset for Chinese Named Entity Recognition, CMC-Computers
- Bin Ji, Shasha Li, Shaoduo Gan, Jie Yu, Jun Ma, Huijun Liu, Jing Yang. Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes, COLING
- Bin Ji, Shasha Li, Jie Yu, Jun Ma, Huijun Liu, Jing Yang. Span-based Joint Entity and Relation Extraction Augmented with Sequence Tagging Mechanism, SCIS
- Huijun Liu, Jie Yu, Jun Ma, Shasha Li, Bin Ji, Zibo Yi, Miaomiao Li, Long Peng, Xiaodong Liu. Textual Adversarial Attacks by Exchanging Text-Self Words, International Journal of Intelligent Systems
- Hao Xu, Long Peng, Xiaodong Liu, Menglin Zhang, Jun Ma, Jie Yu, Zibo Yi. KylinTune: DQN-based Energy-efficient Model for Browser in Mobile Devices, IPCCC
- Miaomiao Li, Jie Yu, Shasha Li, Jun Ma, Huijun Liu. Textual Adversarial Attacks on Named Entity Recognition in a Hard Label Black Box Setting
- Bin Ji, Yalong Xie, Jie Yu, Shasha Li, Jun Ma, Yun Ji, Huijun Liu. A novel bundling learning paradigm for named entity recognition, Knowledge-Based Systems
- Mengxue Du, Shasha Li, Jie Yu, Jun Ma, Bin Ji, Huijun Liu, Wuhang Lin, Zibo Yi. Topic-Grained Text Representation-based Model for Document Retrieval, ICANN
- Wuhang Lin, Shasha Li, Chen Zhang, Bin Ji, Jie Yu, Jun Ma, Zibo Yi. SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder, APWeb-WAIM
- Bin Ji, Hao Xu, Jie Yu, Shasha Li, Jun Ma, Huijun Liu. A Two-Phase Paradigm for Joint Entity-Relation Extraction, CMC-computers, materials and continua
- Jie Yu, Bin Ji, Shasha Li, Jun Ma, Huijun Liu, Hao Xu. S-NER: A Concise and Efficient Span-based Model for Named Entity Recognition, Sensors
2021
- Zibo Yi, Jie Yu, Yusong Tan, and Qingbo Wu. Fine-tuning more stable neural text classifiers for defending word-level adversarial attacks, Applied Intelligence
- Xiaohu Du, Jie Yu, Shasha Li, Zibo Yi, and Jun Ma. Combating Word-level Adversarial Text with Robust Adversarial Training, IJCNN
- Wuhang Lin, Jianling Li, Zibo Yi, Bin Ji, Shasha Li, Jie Yu, Jun Ma. A Unified Summarization Model with Semantic Guide and Keyword Coverage Mechanism, ICANN
- Zibo Yi, Jie Yu, Yusong Tan, Qingbo Wu. A Multimodal Adversarial Attack Framework Based on Local and Random Search Algorithms, International Journal of Computational Intelligence Systems
- Hao Xu, Long Peng, Tao Mao, Jun Ma, Shasha Li, Jie Yu, Qingbo Wu. B2GPAPI: an Efficient Framework Providing C/C++ Runtime in Web-based OS, WCSE 2021
- Hao Xu, Long Peng, Tao Mao, Wenjie Li, Jun Ma, Shasha Li, Jie Yu, Qingbo Wu. A Framework to Run C/C++ Application on Web-based OS, ICACTE
- Hao Xu, Long Peng, Jun Ma, Shasha Li, Jie Yu, Qingbo Wu. A Power-on Hardware Self-test Framework in Web-based OS, DCABES
- Jianling Li, Wuhang Lin, Shasha Li, Jie Yu, Jun Ma. Hierarchical Encoder-Decoder Summary Model With An Instructor For Long Academic Papers, **
- Peng Long, Xu Hao, Yu Jie, Liu Xiaodong, Guan Fei. EmSBoTScript: A Tiny Virtual Machine-Based Embedded Software Framework, International Conference on Computer and Communication Systems
- Guan Fei, Peng Long, Qiao Jiaqing. A Fluid Scheduling Algorithm for DAG Tasks with Constrained or Arbitrary Deadlines, IEEE Transactions on Computers
- Jun Ma, Kai Zhou, Yi Ren, Hao Zhu, Ying Qin, Jing Wang. 面向操作系统版本构建的软件包依赖关系分析, 计算机工程与科学
- Jie Yu, Bin Ji, Shasha Li, Jun Ma, Huijun Liu. 面向中文医疗事件的联合抽取方法, 计算机科学
2020 and former
- Bin Ji, Jie Yu, Shasha Li, Jun Ma, Qingbo Wu, Yusong Tan. Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations, COLING
- Bin Ji, Shasha Li, Jie Yu, Jun Ma, Yusong Tan, Qingbo Wu, Huijun Liu, Yun Ji. Research on Chinese medical named entity recognition based on collaborative cooperation of multiple neural network models, Journal of Biomedical Informatics
- Xiaohu Du, Jie Yu, Zibo Yi, Shasha Li, Jun Ma, Yusong Tan, and Qinbo Wu. A Hybrid Adversarial Attack for Different Application Scenarios, Applied Sciences-Basel
- Yongtao Tang, Jie Yu, Shasha Li, Bin Ji, Yusong Tan, Qingbo Wu. Span Classification Based Model for Clinical Concept Extraction, International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
- Yijia Liu, Bin Ji, Jie Yu, Yusong Tan, Jun Ma, Qingbo Wu. An Advanced ICD-9 Terminology Standardization Method Based on BERT and Text Similarity, International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
- Xiaohu Du, Zibo Yi, Shasha Li, Jun Ma, Jie Yu, Yusong Tan, and Qinbo Wu. Generating More Effective and Imperceptible Adversarial Text Examples for Sentiment Classification, International Conference on Artificial Intelligence and Security
- Yi Zibo, Jie Yu, Shasha Li, Yusong Tan, and Qingbo Wu. Incremental Learning of GAN for Detecting Multiple Adversarial Attacks. In International Conference on Artificial Neural Networks, ICANN
- Jianling Li, Shiwen Yu, Shasha Li, Jie Yu. Multi-classification of Theses to Disciplines Based on Metadata. Natural Language Processing and Chinese Computing, ICANN
- Bin Ji, Rui Liu, Shasha Li, Jie Yu, Qingbo Wu, Yusong Tan and Jiaju Wu. A hybrid approach for named entity recognition in Chinese electronic medical record, BMC Medical Informatics and Decision Making
- Dongyang Liang, Shasha Li, Jie Yu, Bin Ji. Design and Implementation of an XML Schema Based XML Data Editor, International Workshop on Computer Science and Engineering
- Dongyang Liang, Shasha Li, Jie Yu, Bin Ji. Using KG to Choose the Research Supervisor for Postgraduate, International Conference on Computer Technology and Science
- Peng, Long & Guan, Fei & Perneel, Luc & Fayyad, Hasan & Timmerman, Martin. Decentralized Multi-Robot Formation Control with Communication Delay and Asynchronous Clock, Journal of Intelligent & Robotic Systems
- Bin Ji, Rui Liu, Shasha Li, Jintao Tang, Jie Yu, Qian Li, Weisang Xu. A BiLSTM-CRF Method to Chinese Electronic Medical Record Named Entity Recognition, ACAI 2018
- Zibo Yi, Shasha Li, Jie Yu, Yusong Tan, Qingbo Wu. A Novel Misclassification Attack Against Black Box Neural Network Classifiers, International Conference on Semantics, Knowledge and Grids
- Dongyang Liang, Shasha Li, Bin Ji, Zibo Yi, Jie Yu, Jianfeng Zhang, Yusong Tan, Qingbo Wu. Research on Matrix Multiplication Based WeChat Group Tagging Technology, AIKE 2018
- Zhaoyun Chen, Lei Luo, Wei Quan, Yang Shi, Jie Yu, Mei Wen and Chunyuan Zhang. Multiple CNN-based Tasks Scheduling across Shared GPU Platform in Research and Development Scenarios, HPCC 2018
- Chengsen Ru, Jintao Tang, Shasha Li, and Ting Wang. Syntactic Representation Learning for Open Information Extraction on Web, WWW 2017
- Guan, Fei & Peng, Long & Perneel, Luc & Fayyad, Hasan & Timmerman, Martin. A Design That Incorporates Adaptive Reservation into Mixed-Criticality Systems, Scientific Programming
🎖 Honors and Awards
- 2018 CHIP2018信息抽取竞赛,全国第二名
- 2019 CCKS2019信息抽取竞赛,全国第一名
- 2020 CCKS2020信息抽取竞赛,全国第三名
- 2021 麒麟杯全国开源应用软件开发大赛,全国二等奖
- 2021 科大讯飞2021文本匹配竞赛,全国第一名
- 2023–2024 开放原子开源大赛,全国一等奖、三等奖
- 2024 “松山湖杯”2024中国研究生操作系统开源创新大赛,全国一等奖、二等奖
- 2024 第四届厦门国际银行数创金融杯建模大赛,铜奖
🧑💻 Team Members
🧑🏫 Teachers

Jie Yu
Jie Yu obtained his BS and PHD from the National University of Defense Technology (NUDT) in 2005 and 2010, supervised by Prof. Huowang Chen and Prof. Zhoujun Li. He was a Post-graduate intern at the National University of Singapore, supervised by Prof. Chang Ee-Chien during 2008-2009. Currently, he is a professor at NUDT.
He focuses on system software, including security and performance in AI (mostly on NLP) and OS (mostly on Linux and Android).
He has published more than 60 papers, including SIGCOMM, AAAI, ICSE, COLING, ICPP, SecureComm, ISPA etc.
Email: yj@nudt.edu.cn

Jun Ma
Jun Ma obtained his BS and PHD from NUDT in 2005 and 2011, supervised by Prof. Zhiying Wang.
He is an associate research fellow in Software Engineering Research Center, NUDT. His research focuses on:
- Operating systems (architecture, kernel, security, desktop)
- Information security (access control, trust computing, DLP, recovery)
- Software engineering (ecosystem, dependency management)
He has published over 30 papers and built many engineering systems on Linux, Windows, and embedded systems.
Email: majun@nudt.edu.cn

Shasha Li
Shasha Li obtained her BS and PHD from NUDT in 2005 and 2011, supervised by Prof. Huowang Chen and Prof. Zhoujun Li.
She was a post-graduate intern at MSRA supervised by Prof. Chin-Yew Lin (2008–2011).
Currently an associate professor in the School of Computer Science, NUDT.
Research interests: Natural Language Processing and Knowledge Graphs.
Published 40+ papers in ACL, COLING, TKDE, IPM, etc.
Email: shashali@nudt.edu.cn

Xiaodong Liu
Received BS and Ph.D. in Computer Science and Technology from NUDT (2007, 2013).
Currently an associate professor at NUDT.
Research: Desktop OS, Software Engineering, Troubleshooting.
Email: liuxiaodong@nudt.edu.cn

Long Peng
BS & MS from NUDT (2009, 2012), Ph.D. from Vrije Universiteit Brussel (2017).
Currently an assistant research fellow at NUDT.
Research topics:
- Real-time & Mobile OS
- Embedded Systems
- Robotics Software Frameworks
- Intelligent Control Systems
Email: penglong@nudt.edu.cn

Jing Wang
Jing Wang received her BS and Ph.D in Computer Science and Technology from the National University of Defense Technology (NUDT), China in 2008 and 2019, respectively. Currently she works as an assistant research fellow at NUDT.Her research focuses on operating system,software engineering.
Email: wangjing@nudt.edu.cn

Bin Ji
Bin Ji received his BS in Computer Science from Shandong University, China, in 2014 and his Ph.D in Computer Science from the National University of Defense Technology (NUDT), China, in 2022. He was a Research Fellow at the Institute of Data Science, National University of Singapore, from 2023 to 2024. Currentl,y he works as an assistant research fellow at NUDT.
Research topics:
- LLM-Powered Agent
- LLM-Powered Agent OS
- LLM Compression
- Text Generation with Citations
Email: jibin@nudt.edu.cn
🎓 Postdoctoral Researchers
- Zhuo Li |Next-generation OS | –
🥇 Ph.D. Students
- Yongtao Tang | Multi-Modal LLM | tangyongtao18@nudt.edu.cn
- Shezheng Song | Multi-Modal LLM | ssz614@nudt.edu.cn
- Xiaopeng Li | LLM Knowledge Edit| xiaopengli@nudt.edu.cn
- Xi Wang | LLM Jailbreak | wx_23ndt@nudt.edu.cn
- Qianyue Li|LLM-Powered Agent|li_qianyue@nudt.edu.cn
- Luxiang Guo | LLM-Powered Agent | lxg@nudt.edu.cn
- Jinying Xiao | LLM-Powered Agent, LLM Compression |
- Ye Xiao | |
- Mengrui Cao | |
🥈 Master Students
- Binrui Zeng | LLM Compression | zengbinrui@nudt.edu.cn
- Xuan Xie | LLM Compression |
- Ye Zhong |LLM Compression |
- Jiacheng Jie | LLM-Powered Agent |
- Wei Li | LLM Fine-tuning | liweil@nudt.edu.cn
- Qingxiao Zhang|LLM Inference Acceleration|zhangqxnudt@nudt.ecu.cn
- Zhilong Liu | Next-generation OS| liuzhilong23@nudt.edu.cn
- Xinran Hong | Next-generation OS | hongxinran@nudt.edu.cn
- Zhuoyi Huang | Next-generation OS | 1586699654@qq.com
- Jiahao Zhong | GPU Software Stack | zhongjiahao2@nudt.edu.cn
- Guojie Liu | Graph Retrieval-Augmented Generation | liuguojie@nudt.edu.cn
- Shuai Lu | Next-generation OS | lushuai@nudt.edu.cn
- Yueyu Wang | LLM-Powered Agent | wangyueyu@nudt.edu.cn
- Chenming Deng | System Software | dengchenming@nudt.edu.cn
- Chuang Zhang | Operating System and Knowledge Graph | –
🎓 Alumni
🥇 Ph.D.
- 2024 (2018.09 – 2024.06)
- Huijun Liu | Postdoc at National University of Singapore | LLM Security | liuhuijun@nudt.edu.cn
- 2022 (2018.09 – 2022.06)
- Bin Ji | Postdoc at National University of Singapore | LLM Agent | jibin@nudt.edu.cn
- 2021 (2017.09 – 2021.12)
- Zibo Yi | National Institute in Beijing | Artificial Intelligence Security | yizibo14@nudt.edu.cn
- Shaoduo Gan | National Institute in Beijing | Distributed Machine Learning | ganshaoduo@nudt.edu.cn
🥈 Master
- 2024 (2021.09 – 2024.06)
- Miaomiao Li | XingWang | Artificial Intelligence Security | limiaomiao21@nudt.edu.cn
- 2023 (2020.09 – 2023.06)
- Jing Yang | Huawei | Information Extraction | yangjing2036@126.com
- Xi Deng | – | Text Assessment | deng@nudt.edu.cn
- Mengxue Du | – | Information Retrieval | dumengxuenudt@nudt.edu.cn
- 2022 (2019.09 – 2022.06)
- Wuhang Lin | NetEase SSP Offer | Text Summarization | wuhanglin@nudt.edu.cn
- 2021 (2019.09 – 2021.12)
- Hao Xu | Work @ Guangdong | Web Operating System | xuhao19@nudt.edu.cn
- 2020 (2018.09 – 2021.06)
- Xiaohu Du | Ph.D. @ HUST | Artificial Intelligence Security | xhdu18@foxmail.com
- Jianling Li | Ph.D. @ Tianjin University | Text Summarization | jianlingl@nudt.edu.cn
- Yongtao Tang | Ph.D. @ NUDT | Information Extraction | tangyongtao18@nudt.edu.cn
- Yijia Liu | Work @ Changsha Bank Head Office | Information Extraction
- 2019 (2017.06 – 2019.12)
- Dongyang Liang | Work @ Zhejiang | Sci & Tech Literature Mining | liangdongyang10@yeah.net
- 2018 (2015.09 – 2018.06)
- Lu Si | Ph.D. @ Tsinghua University | Big Data & Knowledge Graph | lusi@ubuntukylin.com
- Jie Lin | Work @ Sichuan | Big Data & Knowledge Graph | mr_lin0215@163.com
- 2017 (2014.09 – 2017.06)
- Shaoduo Gan | Ph.D. @ ETH Zurich | Distributed Machine Learning | ganshaoduo@nudt.edu.cn
- Zibo Yi | Ph.D. @ NUDT | Artificial Intelligence Security | yizibo14@nudt.edu.cn
- Qi Zhang | Work @ Guangdong | Distributed Operating System
- Qintao Shen | Ph.D. @ Institute of Information Engineering, CAS | System Security
🌏 Attend Conference
2024

In August 2024, some students from our research group attended the Chinese Information Processing Society Summer School held in Beijing, where they learned about the cutting-edge research on LLMs and shared their insights.

In December 2024, some students from our research group attended the Annual Conference of the Chinese Information Processing Society held in Jiaxing, Zhejiang.
2023

In December 2023, some students and teachers from our research group attended the China Software Conference held in Shanghai.

In December 2023, some members of our research group attended the Frontier Technology Seminar on Large Language Models held in Chengdu.
2021

In May 2021, some members of our research group went to Beijing to attend the 116th session of the ADL (Advanced Deep Learning) Bootcamp.
💻 Entertainment
2025

In 2025, TMG group held a spring outing activity.

2024

In 2024, TMG group held a mountain climbing spring outing at Heimi Peak, which also served as a graduation gathering for our senior students Liu Huijun and Li Miaomiao.
2023
2022
2021

In 2021, the research group organized an activity, and everyone spent a happy and joyful day together.



2020

In 2020, some members of our research group went to Nanchang to attend the CCKS20 conference and visited some local historical sites and scenic spots.