My name is Guangchi (Luke) Liu and I am currently a professor of computer science at Southeast Univesity. I received my B.S. and M.S. degree from Southeast Univesity and Ph.D. in in Compuer Science from Montana State University, U.S.A under the supervision of Dr. Qing Yang. My research interests lie in the areas of Social Computing and Security, Trust Network, Machine Learning and Natural Language Processing, etc.
I used to be an industry research lead in the U.S. for 5 years. Under my supervision, my team prototyped and productionized numerious social media and opinion analysis systems, which have been used by more than 100 companies around the world. More details can be found at my personal webiste https://gc-liu.github.io/ .
Open Positions
I'm actively looking for strongly self-motivated undergraduate, master, and Ph.D. researchers. Please send me your CV if you are interested in joining us! All of the team members I have mentored are currently working at well-known tech/financial companies including Google, Meta, Amazon, Microsoft, Anasys, JP Morgan, Deloitte, etc. or pursuing Ph.D. degree at colleges including North Carolina State Univ., Fudan Univ., etc.
长期招募有强烈自我驱动意愿的本科，硕士以及博士生同学加入我的团队，请有兴趣的同学请将简历发送至我邮箱:
gc-liu[at]seu[dot]edu[dot]cn
我指导过的前团队成员均就职于谷歌，脸书，亚马逊，微软，摩根大通，德勤等IT/金融公司算法岗或在NCSU, 复旦等高校攻读博士学位。详细信息见 https://gc-liu.github.io/joinus/
目前我们团队有少量专属博士名额（绿色通道，可保证录取），欢迎有读博（直博，贯通，硕博连读，考核博士）意向的同学联系我。
Social Computing and Security, Opinion Analysis, Graph Learning, Multimodal Learning, and Natrual Language Processing
Ph.D. in Computer Science Sep. 2012 - May. 2017
Montana State University, Bozeman, MT
M.E. in Electronic Science and Engineering. Sep. 2009 - May. 2012
Southeast University, Nanjing, China
B.S. in Biomedical Engineering Sep. 2005 - May. 2009
Southeast University, Nanjing, China
Southeast University, School of Computer Science and Engineering Nanjing, China
Professor Jul. 2023 - present
Kennesaw State University, Department of Computer Science Marrieta, GA, USA
Assistant Professor Aug. 2022 - Jun. 2023
Stratifyd, Inc., Department of Research & Development Charlotte, NC, USA
Sr. Director/Research Scientist Jun. 2017 - Aug. 2022
Selected Projects
Project I: Dissemination of Multimodal Information in Directed Graph
Keywords: Graph Machine Learning, Graph Signal Processing, White-box Neural Network
Based upon the latest graph machine learning and interpretable machine learning approaches, this research aims to design a data-driven yet interpretable framework towards modeling multimodal information dissemination in network scenarios. Applications of this research include opinion dissemination modeling, trust network data verification, etc.
Project II: Trust Modeling in Network Scenarios
Keywords: Evidence Theory, Trust Network, Graph Theory, Neural Netwrok
This research contains a series of approaches for modeling trust relations in network scenarios accurately, efficiently and practically. Applications of this research include online disinformation analysis, troll account detection, and trust assessment for network traffic, etc.
Project III: Social Media Analysis
Keywords: Topic Modeling, Extreme Large Multlabel Classification, Sentiment Analysis
In this research, we employ NLP and machine learning approaches to develop a series of opinion analysis systems that provide business insights from social media data in an automatic, timely and interpretable manner. This research encompasses my work as the industry lead.
Selected Publications (CCF-A Tier)
[C] Yixing Song, Guangchi Liu, Xiangyu Xu, Shaofeng Li, Zhen Ling, Yiwei Wang, Yujun Cai, “MIMO-LP: A Multi-Input Multi-Output Framework for Subgraph-based Link Prediction” in International Conference on Machine Learning (ICML) 2026.
[C] Zihan Ma, Guangchi Liu, Xiangyu Xu, Shaofeng Li, Zhen Ling and Junzhou Luo, “A Needle in a Haystack: Defending Federated Learning Backdoor Attacks via Orthogonal Subnetwork Pruning” in IEEE International Conference on Computer Communications (INFOCOM) 2026.
[C] Han Yang, Shaofeng Li, Tian Dong, Xiangyu Xu, Guangchi Liu and Zhen Ling, "Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs" in AAAI Conference on Artificial Intelligence (AAAI) 2026.
[C] Chunmian Wang, Junzhou Luo, Zhen Ling, Yue Zhang, Shan Wang, Ming Yang, Guangchi Liu and FU Xinwen, “Descriptors of Exposure: Undermining Tor Anonymity through Exploiting Descriptor Flood” in IEEE Symposium on Security and Privacy (S&P) 2026.
[C] Rong Wang, Zhen Ling, Guangchi Liu, Shaofeng Li, Junzhou Luo and Xinwen Fu “Cease at the Ultimate Goodness: Towards Efficient Website Fingerprinting Defense via Iterative Mutual Information Minimization” in Network and Distributed System Security (NDSS) 2026.
[C] Hongze Wang, Zhen Ling, Xiangyu Xu, Yumingzhi Pan, Guangchi Liu, Junzhou Luo and Xinwen Fu, “Time will Tell: Large-scale De-anonymization of Hidden I2P Services via Live Behavior Alignment” in Network and Distributed System Security (NDSS) 2026.
[C] Chongqing Lei, Zhen Ling, Xiangyu Xu, Shaofeng Li, Guangchi Liu, Kai Dong and Junzhou Luo, “Towards Flexible MCU Peripheral Emulation” in ACM Conference on Computer and Communications Security (CCS) 2025.
[C] Yumingzhi Pan, Zhen Ling, Yue Zhang, Hongze Wang, Guangchi Liu, Junzhou Luo and Xinwen Fu, “TORCHLIGHT: Shedding LIGHT on Real-World Attacks on Cloudless IoT Devices Concealed within the Tor Network” in USENIX Security Symposium (Security) 2025.
[C] Zhen Ling, Gui Xiao, Lan Luo, Rong Wang, Xiangyu Xu, Guangchi Liu, “WFGuard: An Effective Fuzz-Testing-Based Traffic Morphing Defense against Website Fingerprinting” in IEEE International Conference on Computer Communications (INFOCOM) 2024.
[J] Guangchi Liu, Qing Yang, Honggang Wang and Alex X. Liu, “Three-Valued Subjective Logic: A Model for Trust Assessment in Online Social Networks”. IEEE Transactions on Dependable and Secure Computing (TDSC) (2019).
[C] Guangchi Liu, Chenyu Li and Qing Yang, “NeuralWalk: Assessing Trust in Online Social Networks with Neural Network” in IEEE International Conference on Computer Communications (INFOCOM) 2019.
[J] Guangchi Liu, Qi Chen, Qing Yang, Binhai Zhu, Honggang Wang and Wei Wang. “OpinionWalk: An Efficient Algorithm for Massive Trust Assessment in Online Social Networks” in IEEE International Conference on Computer Communications (INFOCOM) 2017.
[C] Guangchi Liu, Qing Yang, Honggang Wang, Xiaodong Lin, and Mike P. Wittie. “Assessment of Multi-Hop Interpersonal Trust in Social Networks by Three-Valued Subjective Logic” in IEEE International Conference on Computer Communications (INFOCOM) 2014.
[J] Tong Cheng, Guangchi Liu and Qing Yang, “Trust Assessment in Vehicular Social Network based on Three- Valued Subjective Logic”. IEEE Transactions on Multimedia (TMM) (2019).
