Yingqi Liu - RankMe

82 papers A* 27A 2B 1Journal 43Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decentralized Partial Model Personalization With Guaranteed Nonconvex Convergence. IEEE Trans. Netw. Yifan Shi, Yingqi Liu, Yan Sun, Zihao Lin, Xueqian Wang, Li Shen, Xiaochun Cao, Dacheng Tao
2025	J	`jnl`	Integrated Take-off Management and Trajectory Optimization for Merging Control in Urban Air Mobility Corridors. CoRR Yingqi Liu, Tianlu Pan, Jingjun Tan, Renxin Zhong, Can Chen
2025	J	`jnl`	Learning Temporal Knowledge Graphs via Time-Sensitive Graph Attention. IEEE Access Jinqing Shen, Chengjin Xu, Yingqi Liu, Xuhui Jiang, Jiaming Li, Zhenxin Huang, Jens Lehmann, Xuesong Chen
2025	J	`jnl`	Research on Autonomous Vehicle Technology Innovation Ecosystem in China Based on System Dynamics. Syst. Ruiyu Feng, Yingqi Liu, Mu Li, Fei Zhou
2025	J	`jnl`	Toward the Flatter Landscape and Better Generalization in Federated Learning Under Client-Level Differential Privacy. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao
2025	A*	`conf`	Understanding the Stability-based Generalization of Personalized Federated Learning. ICLR Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao
2025	J	`jnl`	Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training. CoRR Qinglun Li, Yingqi Liu, Miao Zhang, Xiaochun Cao, Quanjun Yin, Li Shen
2024	J	`jnl`	AdaptBIR: Adaptive Blind Image Restoration with latent diffusion prior for higher fidelity. Pattern Recognit. Yingqi Liu, Jingwen He, Yihao Liu, Xinqi Lin, Fanghua Yu, Jinfan Hu, Yu Qiao, Chao Dong
2024	J	`jnl`	Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration. CoRR Qinglun Li, Miao Zhang, Yingqi Liu, Quanjun Yin, Li Shen, Xiaochun Cao
2024	A*	`conf`	Decentralized Directed Collaboration for Personalized Federated Learning. CVPR Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen
2024	J	`jnl`	Decentralized Directed Collaboration for Personalized Federated Learning. CoRR Yingqi Liu, Yifan Shi, Qinglun Li, Baoyuan Wu, Xueqian Wang, Li Shen
2024	A	`conf`	Exploring Inherent Backdoors in Deep Learning Models. ACSAC Guanhong Tao, Siyuan Cheng, Zhenting Wang, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang
2024	J	`jnl`	How Can China's Autonomous Vehicle Companies Use Digital Empowerment to Improve Innovation Quality? - The Role of Digital Platform Capabilities and Boundary-Spanning Search. Syst. Mu Li, Yingqi Liu, Ruiyu Feng
2024	J	`jnl`	LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning. CoRR Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
2024	A*	`conf`	Lotus: Evasive and Resilient Backdoor Attacks through Sub-Partitioning. CVPR Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
2024	J	`jnl`	Multi-Attack Intrusion Detection for In-Vehicle CAN-FD Messages. Sensors Fei Gao, Jinshuo Liu, Yingqi Liu, Zhenhai Gao, Rui Zhao
2024	J	`jnl`	SecEncoder: Logs are All You Need in Security. CoRR Muhammed Fatih Bulut, Yingqi Liu, Naveed Ahmad, Maximilian Turner, Sami Ait Ouahmane, Cameron Andrews, Lloyd G. Greenwald
2024	J	`jnl`	TIPS: Threat Actor Informed Prioritization of Applications using SecEncoder. CoRR Muhammed Fatih Bulut, Acar Tamersoy, Naveed Ahmad, Yingqi Liu, Lloyd G. Greenwald
2024	J	`jnl`	The Pathway to Startup Success: A Comprehensive Systematic Review of Critical Factors and the Future Research Agenda in Developed and Emerging Markets. Syst. Yenus Muhammed Argaw, Yingqi Liu
2023	A*	`conf`	BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. NDSS Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang
2023	J	`jnl`	BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. CoRR Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang
2023	A*	`conf`	Detecting Backdoors in Pre-trained Encoders. CVPR Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
2023	J	`jnl`	Detecting Backdoors in Pre-trained Encoders. CoRR Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
2023	A*	`conf`	Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration. NeurIPS Guangyu Shen, Siyuan Cheng, Guanhong Tao, Kaiyuan Zhang, Yingqi Liu, Shengwei An, Shiqing Ma, Xiangyu Zhang
2023	A*	`conf`	FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. ICLR Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
2023	A*	`conf`	ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes. SP Shengwei An, Yuan Yao, Qiuling Xu, Shiqing Ma, Guanhong Tao, Siyuan Cheng, Kaiyuan Zhang, Yingqi Liu, Guangyu Shen, Ian Kelk, Xiangyu Zhang
2023	A*	`conf`	MEDIC: Remove Model Backdoors via Importance Driven Cloning. CVPR Qiuling Xu, Guanhong Tao, Jean Honorio, Yingqi Liu, Shengwei An, Guangyu Shen, Siyuan Cheng, Xiangyu Zhang
2023	A*	`conf`	Make Landscape Flatter in Differentially Private Federated Learning. CVPR Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
2023	J	`jnl`	Make Landscape Flatter in Differentially Private Federated Learning. CoRR Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
2023	A*	`conf`	PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis. USENIX Security Symposium Zhuo Zhang, Guanhong Tao, Guangyu Shen, Shengwei An, Qiuling Xu, Yingqi Liu, Yapeng Ye, Yaoxuan Wu, Xiangyu Zhang
2023	J	`jnl`	Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training. CoRR Yifan Shi, Yingqi Liu, Yan Sun, Zihao Lin, Li Shen, Xueqian Wang, Dacheng Tao
2023	J	`jnl`	Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy. CoRR Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao
2022	J	`jnl`	Backdoor Vulnerabilities in Normally Trained Deep Learning Models. CoRR Guanhong Tao, Zhenting Wang, Siyuan Cheng, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang
2022	A*	`conf`	Better Trigger Inversion Optimization in Backdoor Scanning. CVPR Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang
2022	—	`conf`	Blueprint Separable Residual Network for Efficient Image Super-Resolution. CVPR Workshops Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong
2022	J	`jnl`	Blueprint Separable Residual Network for Efficient Image Super-Resolution. CoRR Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong
2022	A*	`conf`	Complex Backdoor Detection by Symmetric Feature Differencing. CVPR Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang
2022	A*	`conf`	Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense. ICML Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang
2022	J	`jnl`	Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense. CoRR Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang
2022	J	`jnl`	DECK: Model Hardening for Defending Pervasive Backdoors. CoRR Guanhong Tao, Yingqi Liu, Siyuan Cheng, Shengwei An, Zhuo Zhang, Qiuling Xu, Guangyu Shen, Xiangyu Zhang
2022	—	`conf`	Efficient Image Super-Resolution Using Vast-Receptive-Field Attention. ECCV Workshops (2) Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong
2022	J	`jnl`	Efficient Image Super-Resolution using Vast-Receptive-Field Attention. CoRR Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong
2022	J	`jnl`	FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. CoRR Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
2022	J	`jnl`	Infrared-Visible Image Fusion Based on Semantic Guidance and Visual Perception. Entropy Xiaoyu Chen, Zhijie Teng, Yingqi Liu, Jun Lu, Lianfa Bai, Jing Han
2022	A*	`conf`	MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity. NDSS Guanhong Tao, Qiuling Xu, Yingqi Liu, Guangyu Shen, Shengwei An, Jingwei Xu, Xiangyu Zhang, Yuan Yao
2022	J	`jnl`	Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning. IEEE Trans. Cybern. Wenchao Chen, Bo Chen, Yingqi Liu, Xuefei Cao, Qianru Zhao, Hao Zhang, Long Tian
2022	A*	`conf`	Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security. SP Guanhong Tao, Yingqi Liu, Guangyu Shen, Qiuling Xu, Shengwei An, Zhuo Zhang, Xiangyu Zhang
2022	—	`conf`	NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
2022	J	`jnl`	NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CoRR Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, et al.
2022	A*	`conf`	Piccolo: Exposing Complex Backdoors in NLP Transformer Models. SP Yingqi Liu, Guangyu Shen, Guanhong Tao, Shengwei An, Shiqing Ma, Xiangyu Zhang
2022	—	`conf`	Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps. ICUFN Kun Qiu, Harry Chang, Ying Wang, Xiahui Yu, Wenjun Zhu, Yingqi Liu, Jianwei Ma, Weigang Li, Xiaobo Liu, Shuo Dai
2022	J	`jnl`	Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps. CoRR Kun Qiu, Harry Chang, Ying Wang, Xiahui Yu, Wenjun Zhu, Yingqi Liu, Jianwei Ma, Weigang Li, Xiaobo Liu, Shuo Dai
2021	A*	`conf`	Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. ICML Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang
2021	J	`jnl`	Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. CoRR Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang
2021	A*	`conf`	Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification. AAAI Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang
2021	J	`jnl`	EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry. CoRR Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang
2021	J	`jnl`	Turning Danger into Safety: The Origin, Research Context and Theoretical Framework of Organizational Resilience. IEEE Access Ruijun Chen, Yingqi Liu, Fei Zhou
2020	J	`jnl`	Black-box Adversarial Sample Generation Based on Differential Evolution. CoRR Junyu Lin, Lei Xu, Yingqi Liu, Xiangyu Zhang
2020	J	`jnl`	Black-box adversarial sample generation based on differential evolution. J. Syst. Softw. Junyu Lin, Lei Xu, Yingqi Liu, Xiangyu Zhang
2020	A*	`conf`	Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features. CCS Junyu Lin, Lei Xu, Yingqi Liu, Xiangyu Zhang
2020	J	`jnl`	Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification. CoRR Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang
2020	J	`jnl`	Recognizing the HRRP by Combining CNN and BiRNN With Attention Mechanism. IEEE Access Jinwei Wan, Bo Chen, Yingqi Liu, Yijun Yuan, Hongwei Liu, Lin Jin
2020	A*	`conf`	TRADER: trace divergence analysis and embedding regulation for debugging recurrent neural networks. ICSE Guanhong Tao, Shiqing Ma, Yingqi Liu, Qiuling Xu, Xiangyu Zhang
2019	A*	`conf`	ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation. CCS Yingqi Liu, Wen-Chuan Lee, Guanhong Tao, Shiqing Ma, Yousra Aafer, Xiangyu Zhang
2019	A*	`conf`	NIC: Detecting Adversarial Samples with Neural Network Invariant Checking. NDSS Shiqing Ma, Yingqi Liu, Guanhong Tao, Wen-Chuan Lee, Xiangyu Zhang
2019	A*	`conf`	Programming support for autonomizing software. PLDI Wen-Chuan Lee, Peng Liu, Yingqi Liu, Shiqing Ma, Xiangyu Zhang
2019	—	`conf`	Research on Comprehensive Evaluation System of Property Service Enterprises. ICEME Fei Zhou, Yingqi Liu, Rui Xi
2019	A	`conf`	White-Box Program Tuning. CGO Wen-Chuan Lee, Yingqi Liu, Peng Liu, Shiqing Ma, Hongjun Choi, Xiangyu Zhang, Rajiv Gupta
2018	A*	`conf`	Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples. NeurIPS Guanhong Tao, Shiqing Ma, Yingqi Liu, Xiangyu Zhang
2018	J	`jnl`	Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples. CoRR Guanhong Tao, Shiqing Ma, Yingqi Liu, Xiangyu Zhang
2018	—	`conf`	MODE: automated neural network model debugging via state differential analysis and input selection. ESEC/SIGSOFT FSE Shiqing Ma, Yingqi Liu, Wen-Chuan Lee, Xiangyu Zhang, Ananth Grama
2018	J	`jnl`	Remaining useful life estimation of engineered systems using vanilla LSTM neural networks. Neurocomputing Yuting Wu, Mei Yuan, Shaopeng Dong, Li Lin, Yingqi Liu
2018	A*	`conf`	Trojaning Attack on Neural Networks. NDSS Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, Xiangyu Zhang
2017	—	`conf`	LAMP: data provenance for graph based machine learning algorithms through derivative computation. ESEC/SIGSOFT FSE Shiqing Ma, Yousra Aafer, Zhaogui Xu, Wen-Chuan Lee, Juan Zhai, Yingqi Liu, Xiangyu Zhang
2017	A*	`conf`	PAD: programming third-party web advertisement censorship. ASE Weihang Wang, Yonghwi Kwon, Yunhui Zheng, Yousra Aafer, I Luk Kim, Wen-Chuan Lee, Yingqi Liu, Weijie Meng, Xiangyu Zhang, Patrick Eugster
2015	J	`jnl`	A Detection and Measurement Approach for Memory Leaked Objects in Java Programs. IEICE Trans. Inf. Syst. Qiao Yu, Shujuan Jiang, Yingqi Liu
2015	J	`jnl`	Impact of agricultural industrial structure adjustment on energy conservation and income growth in Western China: a statistical study. Ann. Oper. Res. Huifeng Pan, Yingqi Liu, Hongwei Gao
2015	B	`conf`	Mitigating the Dependence Confounding Effect for Effective Predicate-Based Statistical Fault Localization. COMPSAC Xingya Wang, Shujuan Jiang, Xiaolin Ju, Heling Cao, Yingqi Liu
2014	J	`jnl`	An approach for test data generation using program slicing and particle swarm optimization. Neural Comput. Appl. Shujuan Jiang, Dandan Yi, Xiaolin Ju, Lingsai Wang, Yingqi Liu
2013	—	`conf`	An Approach for Fault Localization Based on Program Slicing and Bayesian. QSIC Yingqi Liu, Wei Li, Shujuan Jiang, Yanmei Zhang, Xiaolin Ju
2012	—	`conf`	Fault Localization for Null Pointer Exception Based on Stack Trace and Program Slicing. QSIC Shujuan Jiang, Wei Li, Haiyang Li, Yanmei Zhang, Hongchang Zhang, Yingqi Liu
2011	J	`jnl`	The Analysis of China New Energy Vehicle Industry Alliance Status Based on UCINET Software. J. Comput. Xiongfei Guo, Yingqi Liu