default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYanfang Ye 0001
Yanfang (Fanny) Ye
Person information
- affiliation: University of Notre Dame, IN, USA
- affiliation: West Virginia University, Morgantown, WV, USA
- affiliation (former): Case Western Reserve University, Cleveland, OH, USA
- affiliation (former): Xiamen University, Department of Computer Science, China
Other persons with the same name
- Yanfang Ye 0002 — Henan University, School of Artificial Intelligence, Zhengzhou, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j30]Chuanbo Hu, Bin Liu, Xin Li
, Yanfang Ye, Minglei Yin:
Knowledge-prompted ChatGPT: Enhancing drug trafficking detection on social media. Inf. Manag. 61(7): 104010 (2024)- [j29]Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du:
Graph Mining for Cybersecurity: A Survey. ACM Trans. Knowl. Discov. Data 18(2): 47:1-47:52 (2024) - [c98]Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li:
An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors. CHI 2024: 234:1-234:28 - [c97]Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang:
Mitigating Emergent Robustness Degradation while Scaling Graph Learning. ICLR 2024 - [c96]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c95]Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye:
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble. ICML 2024 - [c94]Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Chuxu Zhang, Yanfang Ye:
How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering? ICWSM 2024: 1148-1159 - [c93]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Subgraph Pooling: Tackling Negative Transfer on Graphs. IJCAI 2024: 5153-5161 - [c92]Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang:
Graph Cross Supervised Learning via Generalized Knowledge. KDD 2024: 4083-4094 - [c91]Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. KDD 2024: 6312-6323 - [c90]Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Shang Ma, Chaoran Chen, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye:
Symbolic Prompt Tuning Completes the App Promotion Graph. ECML/PKDD (10) 2024: 183-198 - [c89]Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye:
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. WWW (Companion Volume) 2024: 859-862 - [i43]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i42]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Tackling Negative Transfer on Graphs. CoRR abs/2402.08907 (2024) - [i41]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision. CoRR abs/2402.08918 (2024) - [i40]Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Vincent Galassi, Jasmine White, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. CoRR abs/2403.08820 (2024) - [i39]Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao:
How Does Message Passing Improve Collaborative Filtering? CoRR abs/2404.08660 (2024) - [i38]Zhengqing Yuan, Rong Zhou, Hongyi Wang, Lifang He, Yanfang Ye, Lichao Sun:
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. CoRR abs/2406.18051 (2024) - [i37]Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lifang He, Lichao Sun:
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation. CoRR abs/2409.11299 (2024) - [i36]Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li:
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. CoRR abs/2410.04917 (2024) - [i35]Shang Ma, Chaoran Chen, Shao Yang, Shifu Hou, Toby Jia-Jun Li, Xusheng Xiao, Tao Xie, Yanfang Ye:
Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph. CoRR abs/2410.07588 (2024) - [i34]Chaoran Chen, Daodao Zhou, Yanfang Ye, Toby Jia-jun Li, Yaxing Yao:
CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications. CoRR abs/2410.13387 (2024) - [i33]Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang:
Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? CoRR abs/2410.23426 (2024) - 2023
- [j28]Deqiang Li, Qianmu Li, Yanfang (Fanny) Ye, Shouhuai Xu:
Arms Race in Adversarial Malware Detection: A Survey. ACM Comput. Surv. 55(2): 15:1-15:35 (2023) - [j27]Chuanbo Hu, Bin Liu, Yanfang Ye, Xin Li:
Fine-grained classification of drug trafficking based on Instagram hashtags. Decis. Support Syst. 165: 113896 (2023) - [j26]Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data 9(2): 415-436 (2023) - [j25]Ruijia Wang, Chuan Shi, Tianyu Zhao, Xiao Wang, Yanfang Ye:
Heterogeneous Information Network Embedding With Adversarial Disentangler. IEEE Trans. Knowl. Data Eng. 35(2): 1581-1593 (2023) - [j24]Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang:
Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c88]Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye:
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. AAAI 2023: 4383-4390 - [c87]Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye:
A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. CIKM 2023: 2696-2705 - [c86]Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye:
Leveraging Comment Retrieval for Code Summarization. ECIR (2) 2023: 439-447 - [c85]Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye:
Hypergraph Contrastive Learning for Drug Trafficking Community Detection. ICDM 2023: 1205-1210 - [c84]Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang:
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. ICLR 2023 - [c83]Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang:
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. ICLR 2023 - [c82]Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang:
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. ICML 2023: 41133-41150 - [c81]Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye:
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. NeurIPS 2023 - [c80]Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye:
Self-Supervised Graph Structure Refinement for Graph Neural Networks. WSDM 2023: 159-167 - [c79]Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang:
Fair Graph Representation Learning via Diverse Mixture-of-Experts. WWW 2023: 28-38 - [i32]Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du:
Graph Mining for Cybersecurity: A Survey. CoRR abs/2304.00485 (2023) - [i31]Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye:
Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media. CoRR abs/2307.03699 (2023) - [i30]Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li:
An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox. CoRR abs/2309.14510 (2023) - [i29]Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye:
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. CoRR abs/2310.00800 (2023) - 2022
- [j23]Yiding Zhang, Xiao Wang, Chuan Shi, Xunqiang Jiang, Yanfang Ye:
Hyperbolic Graph Attention Network. IEEE Trans. Big Data 8(6): 1690-1701 (2022) - [j22]Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan:
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data 16(2): 40:1-40:28 (2022) - [c78]Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao:
Disentangled Spatiotemporal Graph Generative Models. AAAI 2022: 6541-6549 - [c77]Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao:
Adaptive Kernel Graph Neural Network. AAAI 2022: 7051-7058 - [c76]Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang:
Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. CIKM 2022: 1645-1654 - [c75]Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang:
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. CIKM 2022: 2519-2528 - [c74]Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye:
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) 2022: 169-181 - [c73]Shao Yang, Yuehan Wang, Yuan Yao, Haoyu Wang, Yanfang (Fanny) Ye, Xusheng Xiao:
DescribeCtx: Context-Aware Description Synthesis for Sensitive Behaviors in Mobile Apps. ICSE 2022: 685-697 - [c72]Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye:
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). IJCAI 2022: 5379-5383 - [c71]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs. IJCAI 2022: 5662-5669 - [c70]Shifu Hou, Lingwei Chen, Yanfang Ye:
Summarizing Source Code from Structure and Context. IJCNN 2022: 1-8 - [c69]Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang:
Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. KDD 2022: 1390-1400 - [c68]Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang:
Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. KDD 2022: 2009-2019 - [c67]Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang:
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification. NeurIPS 2022 - [c66]Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao:
Multi-objective Deep Data Generation with Correlated Property Control. NeurIPS 2022 - [c65]Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye:
Heterogeneous Temporal Graph Neural Network. SDM 2022: 657-665 - [c64]Yiming Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang:
Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs. SDM 2022: 666-674 - [c63]Pengcheng Fang, Peng Gao, Changlin Liu, Erman Ayday, Kangkook Jee, Ting Wang, Yanfang (Fanny) Ye, Zhuotao Liu, Xusheng Xiao:
Back-Propagating System Dependency Impact for Attack Investigation. USENIX Security Symposium 2022: 2461-2478 - [i28]Mingxuan Ju, Yujie Fan, Yanfang Ye, Liang Zhao:
Black-box Node Injection Attack for Graph Neural Networks. CoRR abs/2202.09389 (2022) - [i27]Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao:
Disentangled Spatiotemporal Graph Generative Models. CoRR abs/2203.00411 (2022) - [i26]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs: A Survey. CoRR abs/2203.09308 (2022) - [i25]Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang:
Adversarial Cross-View Disentangled Graph Contrastive Learning. CoRR abs/2209.07699 (2022) - [i24]Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang:
Contrastive Graph Few-Shot Learning. CoRR abs/2210.00084 (2022) - [i23]Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang:
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. CoRR abs/2210.00162 (2022) - [i22]Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao:
Multi-objective Deep Data Generation with Correlated Property Control. CoRR abs/2210.01796 (2022) - [i21]Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang:
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR abs/2210.02016 (2022) - [i20]Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye:
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR abs/2210.02933 (2022) - [i19]Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye:
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. CoRR abs/2211.10782 (2022) - 2021
- [j21]Tianxi Ji, Pan Li, Emre Yilmaz, Erman Ayday, Yanfang Ye, Jinyuan Sun:
Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism. Proc. VLDB Endow. 14(5): 849-862 (2021) - [j20]Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. ACM Trans. Intell. Syst. Technol. 12(5): 59:1-59:23 (2021) - [j19]Qingzhe Li, Amir Alipour-Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, Liang Zhao:
Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph. IEEE Trans. Knowl. Data Eng. 33(5): 2029-2044 (2021) - [j18]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
A Framework for Enhancing Deep Neural Networks Against Adversarial Malware. IEEE Trans. Netw. Sci. Eng. 8(1): 736-750 (2021) - [c62]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI 2021: 4115-4122 - [c61]Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye:
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI 2021: 4697-4705 - [c60]Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong, Fudong Shao:
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond. AAAI 2021: 7754-7761 - [c59]Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye:
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. CIKM 2021: 2537-2546 - [c58]Lingwei Chen, Yujie Fan, Yanfang Ye:
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. CIKM 2021: 2935-2939 - [c57]Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. CIKM 2021: 3838-3846 - [c56]Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang:
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. IJCAI 2021: 3684-3690 - [c55]Fei Shao, Rui Xu, Wasif Arman Haque, Jingwei Xu, Ying Zhang, Wei Yang, Yanfang Ye, Xusheng Xiao:
WebEvo: taming web application evolution via detecting semantic structure changes. ISSTA 2021: 16-28 - [c54]Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong:
Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection. KDD 2021: 2831-2839 - [c53]Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu:
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD 2021: 4044-4045 - [c52]Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang:
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). KDD 2021: 4157-4158 - [c51]Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang:
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media. NeurIPS 2021: 26911-26923 - [c50]Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang:
Multi-view Self-supervised Heterogeneous Graph Embedding. ECML/PKDD (2) 2021: 319-334 - [c49]Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth A. Loparo, Liang Zhao:
Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. WWW 2021: 518-528 - [i18]Long N. Phan, Hieu Tran, Daniel Le, Hieu Nguyen, James T. Anibal, Alec Peltekian, Yanfang Ye:
CoTexT: Multi-task Learning with Code-Text Transformer. CoRR abs/2105.08645 (2021) - [i17]Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. CoRR abs/2108.08301 (2021) - [i16]Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. CoRR abs/2108.08920 (2021) - [i15]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR abs/2110.03987 (2021) - [i14]Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye:
Gophormer: Ego-Graph Transformer for Node Classification. CoRR abs/2110.13094 (2021) - [i13]Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye:
Heterogeneous Temporal Graph Neural Network. CoRR abs/2110.13889 (2021) - [i12]Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye:
Adaptive Kernel Graph Neural Network. CoRR abs/2112.04575 (2021) - 2020
- [j17]Jianfei Zhang, Lifei Chen, Yanfang Ye, Gongde Guo, Rongbo Chen, Alain Vanasse, Shengrui Wang:
Survival neural networks for time-to-event prediction in longitudinal study. Knowl. Inf. Syst. 62(9): 3727-3751 (2020) - [j16]Xuan Xu, Yanfang Ye, Xin Li:
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization. IEEE Trans. Computational Imaging 6: 968-980 (2020) - [j15]Yanfang Ye, Shifu Hou, Yujie Fan, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo:
$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States. IEEE J. Biomed. Health Informatics 24(10): 2755-2764 (2020) - [j14]Liang Zhao, Feng Chen, Yanfang Ye:
Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. IEEE Trans. Knowl. Data Eng. 32(10): 1923-1935 (2020) - [c48]Yiming Zhang, Yiyue Qian, Yujie Fan, Yanfang Ye, Xin Li, Qi Xiong, Fudong Shao:
dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets. ACSAC 2020: 669-680 - [c47]Yanfang Ye, Yujie Fan, Shifu Hou, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo:
Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner. CIKM 2020: 2909-2916 - [c46]Yiming Zhang, Yujie Fan, Shifu Hou, Yanfang Ye, Xusheng Xiao, Pan Li, Chuan Shi, Liang Zhao, Shouhuai Xu:
Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub. ICKG 2020: 458-465 - [c45]Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao:
Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. ICDM 2020: 132-141 - [c44]Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye:
Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI 2020: 1366-1372 - [c43]Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye:
Interpretable Deep Graph Generation with Node-edge Co-disentanglement. KDD 2020: 1697-1707 - [c42]Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla:
Multi-modal Network Representation Learning. KDD 2020: 3557-3558 - [i11]Yanfang Ye, Shifu Hou, Yujie Fan, Yiyue Qian, Yiming Zhang, Shiyu Sun, Qian Peng, Kenneth A. Loparo:
α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19. CoRR abs/2003.12232 (2020) - [i10]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
Enhancing Deep Neural Networks Against Adversarial Malware Examples. CoRR abs/2004.07919 (2020) - [i9]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
SoK: Arms Race in Adversarial Malware Detection. CoRR abs/2005.11671 (2020) - [i8]Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye:
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement. CoRR abs/2006.05385 (2020) - [i7]Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. CoRR abs/2011.14867 (2020)
2010 – 2019
- 2019
- [c41]Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang:
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. AAAI 2019: 3638-3646 - [c40]Lingwei Chen, Shifu Hou, Yanfang Ye, Thirimachos Bourlai, Shouhuai Xu, Liang Zhao:
iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow. ASONAM 2019: 1097-1104 - [c39]Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. CIKM 2019: 469-478 - [c38]Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi:
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework. CIKM 2019: 549-558 - [c37]Shifu Hou, Yujie Fan, Yiming Zhang, Yanfang Ye, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao:
αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model. CIKM 2019: 609-618 - [c36]Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye:
Author Set Identification via Quasi-Clique Discovery. CIKM 2019: 771-780 - [c35]Chuan Shi, Yanfang Ye, Jiawei Zhang:
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. CIKM 2019: 2991-2992 - [c34]Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu:
Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. ICDM 2019: 1192-1197 - [c33]Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu:
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. IJCAI 2019: 2272-2278 - [c32]Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao:
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection. IJCAI 2019: 4150-4156 - [c31]Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu:
Heterogeneous Graph Attention Network. WWW 2019: 2022-2032 - [c30]Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong:
Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network. WWW 2019: 3448-3454 - [e1]Chaitanya K. Baru, Jun Huan, Latifur Khan, Xiaohua Hu, Ronay Ak, Yuanyuan Tian, Roger S. Barga, Carlo Zaniolo, Kisung Lee, Yanfang (Fanny) Ye:
2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019. IEEE 2019, ISBN 978-1-7281-0858-2 [contents] - [i6]Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye:
Heterogeneous Graph Attention Network. CoRR abs/1903.07293 (2019) - [i5]Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. CoRR abs/1909.04246 (2019) - [i4]Xuan Xu, Yanfang Ye, Xin Li:
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization. CoRR abs/1911.03558 (2019) - [i3]Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye:
Hyperbolic Graph Attention Network. CoRR abs/1912.03046 (2019) - 2018
- [j13]Junxiang Wang, Liang Zhao, Yanfang Ye, Yuji Zhang:
Adverse event detection by integrating twitter data and VAERS. J. Biomed. Semant. 9(1): 19:1-19:10 (2018) - [j12]Yanfang Ye, Lingwei Chen, Shifu Hou, William Hardy, Xin Li:
DeepAM: a heterogeneous deep learning framework for intelligent malware detection. Knowl. Inf. Syst. 54(2): 265-285 (2018) - [c29]Yiming Zhang, Yujie Fan, Yanfang Ye, Xin Li, Erin L. Winstanley:
Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter. AAAI Workshops 2018: 538-546 - [c28]Yanfang Ye, Shifu Hou, Lingwei Chen, Xin Li, Liang Zhao, Shouhuai Xu, Jiabin Wang, Qi Xiong:
ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network. ACSAC 2018: 542-552 - [c27]Lingwei Chen, Shifu Hou, Yanfang Ye, Shouhuai Xu:
DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks. ASONAM 2018: 782-789 - [c26]Yiming Zhang, Yujie Fan, Shifu Hou, Jian Liu, Yanfang Ye, Thirimachos Bourlai:
iDetector: Automate Underground Forum Analysis Based on Heterogeneous Information Network. ASONAM 2018: 1071-1078 - [c25]Junxiang Wang, Liang Zhao, Yanfang Ye:
Semi-supervised Multi-instance Interpretable Models for Flu Shot Adverse Event Detection. IEEE BigData 2018: 851-860 - [c24]Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, Qi Xiong, Fudong Shao:
KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network. ICBK 2018: 154-161 - [c23]Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li:
Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network. IJCAI 2018: 3357-3363 - [c22]Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu:
Make Evasion Harder: An Intelligent Android Malware Detection System. IJCAI 2018: 5279-5283 - [c21]Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu:
Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System. KDD 2018: 253-262 - [i2]Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao:
AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection. CoRR abs/1811.01027 (2018) - [i1]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge. CoRR abs/1812.08108 (2018) - 2017
- [j11]Yanfang Ye, Tao Li, Donald A. Adjeroh, S. Sitharama Iyengar:
A Survey on Malware Detection Using Data Mining Techniques. ACM Comput. Surv. 50(3): 41:1-41:40 (2017) - [j10]Gongde Guo, Lifei Chen, Yanfang Ye, Qingshan Jiang:
Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences. IEEE Trans. Neural Networks Learn. Syst. 28(12): 2936-2948 (2017) - [c20]Lingwei Chen, Shifu Hou, Yanfang Ye:
SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks. ACSAC 2017: 362-372 - [c19]Shifu Hou, Lingwei Chen, Yanfang Ye, Lifei Chen:
Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection. APWeb/WAIM Workshops 2017: 31-42 - [c18]Lingwei Chen, Shifu Hou, Yanfang Ye, Lifei Chen:
An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. APWeb/WAIM Workshops 2017: 43-55 - [c17]Shifu Hou, Aaron Saas, Lingwei Chen, Yanfang Ye, Thirimachos Bourlai:
Deep Neural Networks for Automatic Android Malware Detection. ASONAM 2017: 803-810 - [c16]Lingwei Chen, Yanfang Ye:
SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks. Australasian Conference on Artificial Intelligence 2017: 76-89 - [c15]Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li, Wanhong Zheng:
Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies. CIKM 2017: 1259-1267 - [c14]Lingwei Chen, Yanfang Ye, Thirimachos Bourlai:
Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense. EISIC 2017: 99-106 - [c13]Yiming Zhang, Yujie Fan, Yanfang Ye, Xin Li, Wanhong Zheng:
Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT. ICDM Workshops 2017: 502-509 - [c12]Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu:
HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network. KDD 2017: 1507-1515 - 2016
- [j9]Yujie Fan, Yanfang Ye, Lifei Chen:
Malicious sequential pattern mining for automatic malware detection. Expert Syst. Appl. 52: 16-25 (2016) - [j8]Ming Ni, Tao Li, Qianmu Li, Hong Zhang, Yanfang Ye:
FindMal: A file-to-file social network based malware detection framework. Knowl. Based Syst. 112: 142-151 (2016) - [j7]Lifei Chen, Yanfang Ye, Gongde Guo, Jianping Zhu:
Kernel-based linear classification on categorical data. Soft Comput. 20(8): 2981-2993 (2016) - [c11]Shifu Hou, Aaron Saas, Yanfang Ye, Lifei Chen:
DroidDelver: An Android Malware Detection System Using Deep Belief Network Based on API Call Blocks. WAIM Workshops 2016: 54-66 - [c10]Shifu Hou, Aaron Saas, Lifei Chen, Yanfang Ye:
Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs. WI Workshops 2016: 104-111 - [c9]Abu Hasnat Mohammad Rubaiyat, Tanjin Taher Toma, Masoumeh Kalantari Khandani, Syed Ashiqur Rahman, Lingwei Chen, Yanfang Ye, Christopher S. Pan:
Automatic Detection of Helmet Uses for Construction Safety. WI Workshops 2016: 135-142 - 2015
- [j6]Yanfang Ye, Tao Li, Haiyin Shen:
Soter: Smart Bracelets for Children's Safety. ACM Trans. Intell. Syst. Technol. 6(4): 46:1-46:20 (2015) - [c8]Lingwei Chen, Tao Li, Melih Abdulhayoglu, Yanfang Ye:
Intelligent malware detection based on file relation graphs. ICSC 2015: 85-92 - [c7]Shifu Hou, Lifei Chen, Egemen Tas, Igor Demihovskiy, Yanfang Ye:
Cluster-oriented ensemble classifiers for intelligent malware detection. ICSC 2015: 189-196 - [c6]Lingwei Chen, William Hardy, Yanfang Ye, Tao Li:
Analyzing File-to-File Relation Network in Malware Detection. WISE (1) 2015: 415-430 - 2012
- [j5]Weiwei Zhuang, Yanfang Ye, Yong Chen, Tao Li:
Ensemble Clustering for Internet Security Applications. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1784-1796 (2012) - 2011
- [c5]Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu:
Combining file content and file relations for cloud based malware detection. KDD 2011: 222-230 - 2010
- [j4]Yanfang Ye, Tao Li, Kai Huang, Qingshan Jiang, Yong Chen:
Hierarchical associative classifier (HAC) for malware detection from the large and imbalanced gray list. J. Intell. Inf. Syst. 35(1): 1-20 (2010) - [j3]Yanfang Ye, Tao Li, Qingshan Jiang, Youyu Wang:
CIMDS: Adapting Postprocessing Techniques of Associative Classification for Malware Detection. IEEE Trans. Syst. Man Cybern. Part C 40(3): 298-307 (2010) - [c4]Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang:
Automatic malware categorization using cluster ensemble. KDD 2010: 95-104
2000 – 2009
- 2009
- [j2]Yanfang Ye, Lifei Chen, Dingding Wang, Tao Li, Qingshan Jiang, Min Zhao:
SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging. J. Comput. Virol. 5(4): 283-293 (2009) - [c3]Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li Wan:
Intelligent file scoring system for malware detection from the gray list. KDD 2009: 1385-1394 - 2008
- [j1]Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye, Qingshan Jiang:
An intelligent PE-malware detection system based on association mining. J. Comput. Virol. 4(4): 323-334 (2008) - [c2]Lifei Chen, Yanfang Ye, Qingshan Jiang:
A New Centroid-Based Classifier for Text Categorization. AINA Workshops 2008: 1217-1222 - 2007
- [c1]Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye:
IMDS: intelligent malware detection system. KDD 2007: 1043-1047
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 21:40 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
