Qinglong Wang - RankMe

32 papers A* 4A 4B 1Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Content: A Comprehensive Speech Toxicity Dataset and Detection Framework Incorporating Paralinguistic Cues. AAAI Zhongjie Ba, Liang Yi, Peng Cheng, Qingcao Li, Qinglong Wang, Li Lu
2025	J	`jnl`	Imperceptible but Forgeable: Practical Invisible Watermark Forgery via Diffusion Models. CoRR Ziping Dong, Chao Shuai, Zhongjie Ba, Peng Cheng, Zhan Qin, Qinglong Wang, Kui Ren
2025	J	`jnl`	LogLabeler: Towards Effective Acquisition of Log Labels in Industrial Log-Based Analysis. IEEE Trans. Serv. Comput. Zongyang Li, Qinglong Wang, Shangming Cai, Zheng Liu, Tao Ma, Wei Yang, Ying Li, Tao Xie
2025	J	`jnl`	Robust Watermarks Leak: Channel-Aware Feature Extraction Enables Adversarial Watermark Manipulation. CoRR Zhongjie Ba, Yitao Zhang, Peng Cheng, Bin Gong, Xinyu Zhang, Qinglong Wang, Kui Ren
2025	A	`conf`	SecHeadset: A Practical Privacy Protection System for Real-time Voice Communication. MobiSys Peng Huang, Kun Pan, Qinglong Wang, Peng Cheng, Li Lu, Zhongjie Ba, Kui Ren
2024	A*	`conf`	SurrogatePrompt: Bypassing the Safety Filter of Text-to-Image Models via Substitution. CCS Zhongjie Ba, Jieming Zhong, Jiachen Lei, Peng Cheng, Qinglong Wang, Zhan Qin, Zhibo Wang, Kui Ren
2023	A	`conf`	KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization. ISSTA Qinglong Wang, Runzhe Wang, Yuxi Hu, Xiaohai Shi, Zheng Liu, Tao Ma, Houbing Song, Heyuan Shi
2023	J	`jnl`	SurrogatePrompt: Bypassing the Safety Filter of Text-To-Image Models via Substitution. CoRR Zhongjie Ba, Jieming Zhong, Jiachen Lei, Peng Cheng, Qinglong Wang, Zhan Qin, Zhibo Wang, Kui Ren
2022	—	`conf`	Industry practice of configuration auto-tuning for cloud applications and services. ESEC/SIGSOFT FSE Runzhe Wang, Qinglong Wang, Yuxi Hu, Heyuan Shi, Yuheng Shen, Yu Zhan, Ying Fu, Zheng Liu, Xiaohai Shi, Yu Jiang
2021	J	`jnl`	An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural Networks. Entropy Kaixuan Zhang, Qinglong Wang, C. Lee Giles
2020	—	`conf`	Adversarial Models for Deterministic Finite Automata. Canadian AI Kaixuan Zhang, Qinglong Wang, C. Lee Giles
2020	—	`conf`	Deep Learning, Grammar Transfer, and Transportation Theory. ECML/PKDD (2) Kaixuan Zhang, Qinglong Wang, C. Lee Giles
2020	J	`jnl`	Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. Neural Comput. Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles
2019	J	`jnl`	Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata. CoRR Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles
2019	A	`conf`	Gated Attentive-Autoencoder for Content-Aware Recommendation. WSDM Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu
2019	J	`jnl`	Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. CoRR Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles
2018	J	`jnl`	A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity. CoRR Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
2018	J	`jnl`	An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks. Neural Comput. Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
2018	A*	`conf`	Defending Against Adversarial Samples Without Security through Obscurity. ICDM Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing
2018	J	`jnl`	Gated Attentive-Autoencoder for Content-Aware Recommendation. CoRR Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu
2018	A	`conf`	Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. CIKM Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu
2018	J	`jnl`	Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. CoRR Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu
2018	J	`jnl`	Verification of Recurrent Neural Networks Through Rule Extraction. CoRR Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles
2017	A*	`conf`	Adversary Resistant Deep Neural Networks with an Application to Malware Detection. KDD Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
2017	J	`jnl`	An Empirical Evaluation of Recurrent Neural Network Rule Extraction. CoRR Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
2017	B	`conf`	Drone privacy shield: A WiFi based defense. PIMRC Andy Sun, Wei Gong, Ryan Shea, Jiangchuan Liu, Xue (Steve) Liu, Qinglong Wang
2016	J	`jnl`	Learning Adversary-Resistant Deep Neural Networks. CoRR Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu
2016	J	`jnl`	Random Feature Nullification for Adversary Resistant Deep Architecture. CoRR Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Xinyu Xing, C. Lee Giles, Xue Liu
2016	J	`jnl`	Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective. IEEE Commun. Surv. Tutorials Qinglong Wang, Xue Liu, Jian Du, Fanxin Kong
2016	J	`jnl`	Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective. CoRR Qinglong Wang, Xue Liu, Jian Du, Fanxin Kong
2016	—	`conf`	Smart Rate Control and Demand Balancing for Electric Vehicle Charging. ICCPS Fanxin Kong, Xue Liu, Zhonghao Sun, Qinglong Wang
2016	J	`jnl`	Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks. CoRR Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong