Fangqi Li - RankMe

43 papers A* 4B 1Misc 2Journal 27Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Rethinking the Fragility and Robustness of Fingerprints of Deep Neural Networks. ICASSP Fangqi Li, Shilin Wang, Lei Yang
2025	A*	`conf`	Revisiting Data Auditing in Large Vision-Language Models. ACM Multimedia Hongyu Zhu, Sichu Liang, Wenwen Wang, Boheng Li, Tongxin Yuan, Fangqi Li, Hanyi Wang, Shi-Lin Wang, Zhuosheng Zhang
2024	J	`jnl`	A Novel Self-Supervised Framework Based on Masked Autoencoder for Traffic Classification. IEEE/ACM Trans. Netw. Ruijie Zhao, Mingwei Zhan, Xianwen Deng, Fangqi Li, Yanhao Wang, Yijun Wang, Guan Gui, Zhi Xue
2024	J	`jnl`	Efficient and Effective Model Extraction. CoRR Hongyu Zhu, Wentao Hu, Sichu Liang, Fangqi Li, Wenwen Wang, Shilin Wang
2024	J	`jnl`	NSmark: Null Space Based Black-box Watermarking Defense Framework for Pre-trained Language Models. CoRR Haodong Zhao, Jinming Hu, Peixuan Li, Fangqi Li, Jinrui Sha, Peixuan Chen, Zhuosheng Zhang, Gongshen Liu
2024	J	`jnl`	PromptLA: Towards Integrity Verification of Black-box Text-to-Image Diffusion Models. CoRR Zhuomeng Zhang, Fangqi Li, Chong Di, Shilin Wang
2024	—	`conf`	R-Judge: Benchmarking Safety Risk Awareness for LLM Agents. EMNLP (Findings) Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Fangqi Li, Zhuosheng Zhang, Rui Wang, Gongshen Liu
2024	J	`jnl`	R-Judge: Benchmarking Safety Risk Awareness for LLM Agents. CoRR Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Fangqi Li, Zhuosheng Zhang, Rui Wang, Gongshen Liu
2024	J	`jnl`	Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion. CoRR Hongyu Zhu, Sichu Liang, Wentao Hu, Fangqi Li, Ju Jia, Shilin Wang
2024	A*	`conf`	Reliable Model Watermarking: Defending against Theft without Compromising on Evasion. ACM Multimedia Hongyu Zhu, Sichu Liang, Wentao Hu, Fangqi Li, Ju Jia, Shi-Lin Wang
2024	A*	`conf`	Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond. AAAI Fangqi Li, Haodong Zhao, Wei Du, Shilin Wang
2024	J	`jnl`	Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond. CoRR Fangqi Li, Haodong Zhao, Wei Du, Shilin Wang
2023	Misc	`conf`	FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning. ICASSP Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu
2023	J	`jnl`	Learning automata-accelerated greedy algorithms for stochastic submodular maximization. Knowl. Based Syst. Chong Di, Fangqi Li, Pengyao Xu, Ying Guo, Chao Chen, Minglei Shu
2023	J	`jnl`	Measuring and Understanding Crowdturfing in the App Store. Inf. Qinyu Hu, Xiaomei Zhang, Fangqi Li, Zhushou Tang, Shilin Wang
2023	A*	`conf`	PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models. AAAI Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu
2022	J	`jnl`	Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks. CoRR Fangqi Li, Shilin Wang
2022	—	`conf`	Leveraging Multi-task Learning for Umambiguous and Flexible Deep Neural Network Watermarking. SafeAI@AAAI Fangqi Li, Lei Yang, Shilin Wang, Alan Wee-Chung Liew
2022	J	`jnl`	Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning. CoRR Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu
2022	J	`jnl`	Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers. CoRR Fangqi Li, Shilin Wang, Yun Zhu
2021	J	`jnl`	An Efficient Parameter-Free Learning Automaton Scheme. IEEE Trans. Neural Networks Learn. Syst. Chong Di, Qilian Liang, Fangqi Li, Shenghong Li, Fucai Luo
2021	J	`jnl`	Bayesian inference based learning automaton scheme in Q-model environments. Appl. Intell. Chong Di, Fangqi Li, Shenghong Li, Jianwei Tian
2021	J	`jnl`	FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks. CoRR Runbo Ni, Xueyan Li, Fangqi Li, Xiaofeng Gao, Guihai Chen
2021	J	`jnl`	Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects. CoRR Fangqi Li, Shi-Lin Wang, Alan Wee-Chung Liew
2021	J	`jnl`	Secure Watermark for Deep Neural Networks with Multi-task Learning. CoRR Fangqi Li, Shilin Wang
2021	J	`jnl`	Towards Practical Watermark for Deep Neural Networks in Federated Learning. CoRR Fangqi Li, Shi-Lin Wang
2020	J	`jnl`	Evaluation and Comparison of Diffusion Models with Motif Features. CoRR Fangqi Li
2020	—	`conf`	Gaussian Process Bandits for Online Influence Maximization. ICDM (Workshops) Wenwen Xia, Fangqi Li, Shenghong Li
2020	J	`jnl`	Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata. CoRR Fangqi Li, Chong Di, Shenghong Li
2020	J	`jnl`	On the Submodularity of Diffusion Models: Equivalent Conditions and Applications. CoRR Fangqi Li, Chong Di, Wenwen Xia
2020	J	`jnl`	Sensor Deployment for Wireless Sensor Networks: A Conjugate Learning Automata-Based Energy-Efficient Approach. IEEE Wirel. Commun. Chong Di, Fangqi Li, Shenghong Li
2020	J	`jnl`	Solving the Three-Player-Game. CoRR Fangqi Li
2020	J	`jnl`	The Electromagnetic Balance Game: A Probabilistic Perspective. CoRR Fangqi Li
2019	J	`jnl`	A Bayesian Possibilistic C-Means clustering approach for cervical cancer screening. Inf. Sci. Fangqi Li, Shi-Lin Wang, Gongshen Liu
2019	J	`jnl`	A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach. IEEE Access Chong Di, Shenghong Li, Fangqi Li, Kaiyue Qi
2019	B	`conf`	Maximizing Influence on Social Networks with Conjugate Learning Automata. GLOBECOM Chong Di, Fangqi Li, Kaiyue Qi, Shenghong Li
2018	—	`conf`	A Multi-view Deep Learning Approach for Detecting Threats on 3D Human Body. CSPS (3) Zhicong Yan, Shuai Feng, Fangqi Li, Zhengwu Xu, Shenghong Li
2018	—	`conf`	An Efficient Classification Method of Uncertain Data with Sampling. CSPS (2) Jinchao Huang, Yulin Li, Kaiyue Qi, Fangqi Li
2018	—	`conf`	Laplace Exponential Family PCA. ICIC (1) Fangqi Li, Xudie Ren
2018	—	`conf`	Lip Segmentation with Muti-scale Features Based on Fully Convolution Network. DSC Zhen Ju, Xiang Lin, Fangqi Li, Shilin Wang
2018	J	`jnl`	Probabilistic Model of Object Detection Based on Convolutional Neural Network. CoRR Fangqi Li, Xu-Die Ren, Hao-Nan Guo
2017	—	`conf`	Probabilistic Model of Object Detection Based on Convolutional Neural Network. CSPS Fangqi Li, Xu-Die Ren, Hao-Nan Guo
2016	—	`conf`	Gaussian Iteration: A Novel Way to Collaborative Filtering. ICIC (3) Xiaochun Li, Fangqi Li, Ying Guo, Jinchao Huang