Fangqi Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 37

Top Topics

Greedy Algorithm

Diffusion Models

Learning Automata

Top Venues

Publications

Fangqi Li, Haodong Zhao, Wei Du, Shilin Wang
Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond. AAAI (2024)
Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Fangqi Li, Zhuosheng Zhang, Rui Wang, Gongshen Liu
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents. CoRR (2024)
Jianing Hu, Chaoran Liu, Xucong Wang, Zai Wang, Xin Tong, Fangqi Li, Zhenyu Jin, Xiaoyuan Wang, Lufeng Che, Jing Yu, Defei Yao, Gaofeng Wang, Linxi Dong
A Positioning Alarm System for Explosive Impact Debris Protective Suit Based on an Accelerometer Array. Sensors 24 (14) (2024)
Ruijie Zhao, Mingwei Zhan, Xianwen Deng, Fangqi Li, Yanhao Wang, Yijun Wang, Guan Gui, Zhi Xue
A Novel Self-Supervised Framework Based on Masked Autoencoder for Traffic Classification. IEEE/ACM Trans. Netw. 32 (3) (2024)
Hongyu Zhu, Sichu Liang, Wentao Hu, Fangqi Li, Ju Jia, Shilin Wang
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion. CoRR (2024)
Fangqi Li, Haodong Zhao, Wei Du, Shilin Wang
Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond. CoRR (2024)
Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu
PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models. AAAI (2023)
Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu
FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning. ICASSP (2023)
Chong Di, Fangqi Li, Pengyao Xu, Ying Guo, Chao Chen, Minglei Shu
Learning automata-accelerated greedy algorithms for stochastic submodular maximization. Knowl. Based Syst. 282 (2023)
Qinyu Hu, Xiaomei Zhang, Fangqi Li, Zhushou Tang, Shilin Wang
Measuring and Understanding Crowdturfing in the App Store. Inf. 14 (7) (2023)
Fangqi Li, Shilin Wang, Yun Zhu
Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers. CoRR (2022)
Fangqi Li, Shilin Wang
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks. CoRR (2022)
Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu
Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning. CoRR (2022)
Fangqi Li, Lei Yang, Shilin Wang, Alan Wee-Chung Liew
Leveraging Multi-task Learning for Umambiguous and Flexible Deep Neural Network Watermarking. SafeAI@AAAI (2022)
Fangqi Li, Shi-Lin Wang
Towards Practical Watermark for Deep Neural Networks in Federated Learning. CoRR (2021)
Fangqi Li, Shi-Lin Wang, Alan Wee-Chung Liew
Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects. CoRR (2021)
Runbo Ni, Xueyan Li, Fangqi Li, Xiaofeng Gao, Guihai Chen
FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks. CoRR (2021)
Chong Di, Qilian Liang, Fangqi Li, Shenghong Li, Fucai Luo
An Efficient Parameter-Free Learning Automaton Scheme. IEEE Trans. Neural Networks Learn. Syst. 32 (11) (2021)
Chong Di, Fangqi Li, Shenghong Li, Jianwei Tian
Bayesian inference based learning automaton scheme in Q-model environments. Appl. Intell. 51 (10) (2021)
Fangqi Li, Shilin Wang
Secure Watermark for Deep Neural Networks with Multi-task Learning. CoRR (2021)
Fangqi Li
Solving the Three-Player-Game. CoRR (2020)
Fangqi Li, Chong Di, Shenghong Li
Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata. CoRR (2020)
Fangqi Li, Chong Di, Wenwen Xia
On the Submodularity of Diffusion Models: Equivalent Conditions and Applications. CoRR (2020)
Fangqi Li
The Electromagnetic Balance Game: A Probabilistic Perspective. CoRR (2020)
Chong Di, Fangqi Li, Shenghong Li
Sensor Deployment for Wireless Sensor Networks: A Conjugate Learning Automata-Based Energy-Efficient Approach. IEEE Wirel. Commun. 27 (5) (2020)
Fangqi Li
Evaluation and Comparison of Diffusion Models with Motif Features. CoRR (2020)
Wenwen Xia, Fangqi Li, Shenghong Li
Gaussian Process Bandits for Online Influence Maximization. ICDM (Workshops) (2020)
Chong Di, Fangqi Li, Kaiyue Qi, Shenghong Li
Maximizing Influence on Social Networks with Conjugate Learning Automata. GLOBECOM (2019)
Fangqi Li, Shi-Lin Wang, Gongshen Liu
A Bayesian Possibilistic C-Means clustering approach for cervical cancer screening. Inf. Sci. 501 (2019)
Chong Di, Shenghong Li, Fangqi Li, Kaiyue Qi
A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach. IEEE Access 7 (2019)
Fangqi Li, Xu-Die Ren, Hao-Nan Guo
Probabilistic Model of Object Detection Based on Convolutional Neural Network. CoRR (2018)
Fangqi Li, Xudie Ren
Laplace Exponential Family PCA. ICIC (1) (2018)
Zhen Ju, Xiang Lin, Fangqi Li, Shilin Wang
Lip Segmentation with Muti-scale Features Based on Fully Convolution Network. DSC (2018)
Jinchao Huang, Yulin Li, Kaiyue Qi, Fangqi Li
An Efficient Classification Method of Uncertain Data with Sampling. CSPS (2) (2018)
Zhicong Yan, Shuai Feng, Fangqi Li, Zhengwu Xu, Shenghong Li
A Multi-view Deep Learning Approach for Detecting Threats on 3D Human Body. CSPS (3) (2018)
Fangqi Li, Xu-Die Ren, Hao-Nan Guo
Probabilistic Model of Object Detection Based on Convolutional Neural Network. CSPS (2017)
Xiaochun Li, Fangqi Li, Ying Guo, Jinchao Huang
Gaussian Iteration: A Novel Way to Collaborative Filtering. ICIC (3) (2016)