default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWei-Long Zheng
郑伟龙
Person information
- affiliation: Shanghai Jiao Tong University, Shanghai, China
- unicode name: 郑伟龙
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c60]Ziyi Li, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu:
Temporal-Spatial Prediction: Pre-Training on Diverse Datasets for EEG Classification. ICASSP 2024: 1806-1810- [c59]Wei-Bang Jiang, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu:
Functional Emotion Transformer for EEG-Assisted Cross-Modal Emotion Recognition. ICASSP 2024: 1841-1845 - [c58]Yu-Ting Lan, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu:
CEMOAE: A Dynamic Autoencoder with Masked Channel Modeling for Robust EEG-Based Emotion Recognition. ICASSP 2024: 1871-1875 - [c57]Pengxuan Gao, Tianyu Liu, Jia-Wen Liu, Bao-Liang Lu, Wei-Long Zheng:
Multimodal Multi-View Spectral-Spatial-Temporal Masked Autoencoder for Self-Supervised Emotion Recognition. ICASSP 2024: 1926-1930 - [c56]Tian-Fang Ma, Lu-Yu Liu, Li-Ming Zhao, Dan Peng, Yong Lu, Wei-Long Zheng, Bao-Liang Lu:
Detecting Major Depression Disorder with Multiview Eye Movement Features in a Novel Oil Painting Paradigm. IJCNN 2024: 1-8 - [i11]Hao Tang, Keya Hu, Jin Peng Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis:
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. CoRR abs/2405.17503 (2024) - [i10]Tian-Hua Li, Tian-Fang Ma, Dan Peng, Wei-Long Zheng, Bao-Liang Lu:
Focused State Recognition Using EEG with Eye Movement-Assisted Annotation. CoRR abs/2407.09508 (2024) - [i9]Xuan-Hao Liu, Xinhao Song, Dexuan He, Bao-Liang Lu, Wei-Long Zheng:
Professor X: Manipulating EEG BCI with Invisible and Robust Backdoor Attack. CoRR abs/2409.20158 (2024) - 2023
- [c55]Jing-Yi Liu, Jia-Wen Liu, Wei-Long Zheng, Bao-Liang Lu:
Transformer-Based Domain Adaptation for Multi-Modal Emotion Recognition in Response to Game Animation Videos. BIBM 2023: 879-884 - [c54]Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, Hyeokhyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford:
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. CinC 2023: 1-4 - [c53]Rong-Fei Gu, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu:
Tagging Continuous Labels for EEG-based Emotion Classification. EMBC 2023: 1-4 - [c52]Yu-Ting Lan, Dan Peng, Wei Liu, Yun Luo, Ziyu Mao, Wei-Long Zheng, Bao-Liang Lu:
Investigating Emotion EEG Patterns for Depression Detection with Attentive Simple Graph Convolutional Network. EMBC 2023: 1-4 - [c51]Luyu Liu, Dan Peng, Wei-Long Zheng, Bao-Liang Lu:
Objective Depression Detection Using EEG and Eye Movement Signals Induced by Oil Paintings. EMBC 2023: 1-4 - [c50]Dan Peng, Wei Liu, Yun Luo, Ziyu Mao, Wei-Long Zheng, Bao-Liang Lu:
Deep Depression Detection with Resting-State and Cognitive-Task EEG. EMBC 2023: 1-4 - [c49]Wei-Bang Jiang
, Xu Yan, Wei-Long Zheng, Bao-Liang Lu:
Elastic Graph Transformer Networks for EEG-Based Emotion Recognition. ICASSP 2023: 1-5 - [c48]Xuan-Hao Liu, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu:
Two-Stream Spectral-Temporal Denoising Network for End-to-End Robust EEG-Based Emotion Recognition. ICONIP (3) 2023: 186-197 - [c47]Jian-Ming Zhang, Jiawen Liu, Ziyi Li, Tian-Fang Ma, Yiting Wang, Wei-Long Zheng, Bao-Liang Lu:
Naturalistic Emotion Recognition Using EEG and Eye Movements. ICONIP (3) 2023: 265-276 - [c46]Zhong-Wei Jin, Jiawen Liu, Wei-Long Zheng, Bao-Liang Lu:
DAformer: Transformer with Domain Adversarial Adaptation for EEG-Based Emotion Recognition with Live-Oil Paintings. ICONIP (9) 2023: 402-414 - [c45]Rong-Fei Gu, Rui Li, Wei-Long Zheng, Bao-Liang Lu:
Cross-Subject Decision Confidence Estimation from EEG Signals Using Spectral-Spatial-Temporal Adaptive GCN with Domain Adaptation. IJCNN 2023: 1-8 - [c44]Wei-Bang Jiang, Xuan-Hao Liu, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels. ACM Multimedia 2023: 5975-5984 - [c43]Cheng Fei, Rui Li, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu:
EEG-Eye Movements Cross-Modal Decision Confidence Measurement with Generative Adversarial Networks. NER 2023: 1-4 - [c42]Yu-Ting Lan, Ze-Chen Li, Dan Peng, Wei-Long Zheng, Bao-Liang Lu:
Identifying Artistic Expertise Difference in Emotion Recognition in Response to Oil Paintings. NER 2023: 1-4 - [i8]Yu-Ting Lan, Kan Ren, Yansen Wang, Wei-Long Zheng, Dongsheng Li, Bao-Liang Lu, Lili Qiu:
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals. CoRR abs/2308.02510 (2023) - 2022
- [j14]Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu:
Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 14(2): 715-729 (2022) - [j13]Wei-Long Zheng, Edilberto Amorim, Jin Jing, Ona Wu, Mohammad M. Ghassemi, Jong Woo Lee, Adithya Sivaraju, Trudy Pang, Susan T. Herman, Nicolas Gaspard, Barry J. Ruijter, Marleen C. Tjepkema-Cloostermans, Jeannette Hofmeijer, Michel J. A. M. van Putten, M. Brandon Westover:
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. IEEE Trans. Biomed. Eng. 69(5): 1813-1825 (2022) - [j12]Wei Wu, Wei Sun, Q. M. Jonathan Wu, Yimin Yang, Hui Zhang, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Vigilance Estimation Using Deep Learning. IEEE Trans. Cybern. 52(5): 3097-3110 (2022) - [c41]Shuai Luo, Yu-Ting Lan, Dan Peng, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Emotion Recognition in Response to Oil Paintings. EMBC 2022: 4167-4170 - [c40]Tian-Fang Ma, Wei-Long Zheng, Bao-Liang Lu:
Few-Shot Class-Incremental Learning for EEG-Based Emotion Recognition. ICONIP (5) 2022: 445-455 - [c39]Rui Li, Yiting Wang, Wei-Long Zheng, Bao-Liang Lu:
A Multi-view Spectral-Spatial-Temporal Masked Autoencoder for Decoding Emotions with Self-supervised Learning. ACM Multimedia 2022: 6-14 - 2021
- [j11]Wei Wu, Q. M. Jonathan Wu, Wei Sun, Yimin Yang, Xiaofang Yuan, Wei-Long Zheng, Bao-Liang Lu:
A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG. IEEE Trans. Cogn. Dev. Syst. 13(1): 209-222 (2021) - 2020
- [j10]Wei-Long Zheng, Haoqi Sun, Oluwaseun Akeju, M. Brandon Westover:
Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning. IEEE Trans. Biomed. Eng. 67(6): 1696-1706 (2020) - [j9]Junwu Weng, Xudong Jiang, Wei-Long Zheng, Junsong Yuan:
Early Action Recognition With Category Exclusion Using Policy-Based Reinforcement Learning. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4626-4638 (2020) - [j8]Wei-Long Zheng, Kunpeng Gao, Gang Li, Wei Liu, Chao Liu, Jing-Quan Liu, Guoxing Wang, Bao-Liang Lu:
Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment. IEEE Trans. Intell. Transp. Syst. 21(1): 170-184 (2020) - [i7]Xun Wu, Wei-Long Zheng, Bao-Liang Lu:
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition. CoRR abs/2004.01973 (2020)
2010 – 2019
- 2019
- [j7]Haoqi Sun, Eyal Kimchi, Oluwaseun Akeju, Sunil Belur Nagaraj, Lauren M. McClain, David W. Zhou, Emily Boyle, Wei-Long Zheng, Wendong Ge, M. Brandon Westover:
Automated tracking of level of consciousness and delirium in critical illness using deep learning. npj Digit. Medicine 2 (2019) - [j6]Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu:
Identifying Stable Patterns over Time for Emotion Recognition from EEG. IEEE Trans. Affect. Comput. 10(3): 417-429 (2019) - [j5]Wei-Long Zheng, Wei Liu, Yifei Lu, Bao-Liang Lu, Andrzej Cichocki:
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions. IEEE Trans. Cybern. 49(3): 1110-1122 (2019) - [c38]Lan-Qing Bao, Jie-Lin Qiu, Hao Tang, Wei-Long Zheng, Bao-Liang Lu:
Investigating Sex Differences in Classification of Five Emotions from EEG and Eye Movement Signals. EMBC 2019: 6746-6749 - [c37]Bo-Qun Ma, He Li, Wei-Long Zheng, Bao-Liang Lu:
Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization. ICONIP (1) 2019: 30-42 - [c36]Jia-Xin Ma, Hao Tang, Wei-Long Zheng, Bao-Liang Lu:
Emotion Recognition using Multimodal Residual LSTM Network. ACM Multimedia 2019: 176-183 - [c35]Xun Wu, Wei-Long Zheng, Bao-Liang Lu:
Identifying Functional Brain Connectivity Patterns for EEG-Based Emotion Recognition. NER 2019: 235-238 - [c34]Tian-Hao Li, Wei Liu, Wei-Long Zheng, Bao-Liang Lu:
Classification of Five Emotions from EEG and Eye Movement Signals: Discrimination Ability and Stability over Time. NER 2019: 607-610 - [c33]Li-Ming Zhao, Rui Li, Wei-Long Zheng, Bao-Liang Lu:
Classification of Five Emotions from EEG and Eye Movement Signals: Complementary Representation Properties. NER 2019: 611-614 - [i6]Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis. CoRR abs/1908.05349 (2019) - 2018
- [j4]Yimin Yang, Q. M. Jonathan Wu, Wei-Long Zheng, Bao-Liang Lu:
EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes. IEEE Trans. Cogn. Dev. Syst. 10(2): 408-419 (2018) - [c32]Yun Luo, Si-Yang Zhang, Wei-Long Zheng, Bao-Liang Lu:
WGAN Domain Adaptation for EEG-Based Emotion Recognition. ICONIP (5) 2018: 275-286 - [c31]Li-Ming Zhao, Xin-Wei Li, Wei-Long Zheng, Bao-Liang Lu:
Active Feedback Framework with Scan-Path Clustering for Deep Affective Models. ICONIP (2) 2018: 330-340 - [c30]He Li, Yi-Ming Jin, Wei-Long Zheng, Bao-Liang Lu:
Cross-Subject Emotion Recognition Using Deep Adaptation Networks. ICONIP (5) 2018: 403-413 - [c29]He Li, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks. IJCNN 2018: 1-6 - [c28]Jia-Jun Tong, Yun Luo, Bo-Qun Ma, Wei-Long Zheng, Bao-Liang Lu, Xiao-Qi Song, Shi-Wei Ma:
Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario. IJCNN 2018: 1-8 - [c27]Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He:
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. ACM Multimedia 2018: 108-116 - [i5]Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He:
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. CoRR abs/1808.02096 (2018) - 2017
- [j3]Wei-Long Zheng, Shan-Chun Shen, Bao-Liang Lu:
Online Depth Image-Based Object Tracking with Sparse Representation and Object Detection. Neural Process. Lett. 45(3): 745-758 (2017) - [c26]Xue Yan, Wei-Long Zheng, Wei Liu, Bao-Liang Lu:
Identifying Gender Differences in Multimodal Emotion Recognition Using Bimodal Deep AutoEncoder. ICONIP (4) 2017: 533-542 - [c25]Xing-Zan Zhang, Wei-Long Zheng, Bao-Liang Lu:
EEG-Based Sleep Quality Evaluation with Deep Transfer Learning. ICONIP (4) 2017: 543-552 - [c24]Wei-Ye Zhao, Sheng Fang, Ting Ji, Qian Ji, Wei-Long Zheng, Bao-Liang Lu:
Emotion Annotation Using Hierarchical Aligned Cluster Analysis. ICONIP (4) 2017: 572-580 - [c23]Hao Tang, Wei Liu, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Emotion Recognition Using Deep Neural Networks. ICONIP (4) 2017: 811-819 - [c22]Xue Yan, Wei-Long Zheng, Wei Liu, Bao-Liang Lu:
Investigating Gender Differences of Brain Areas in Emotion Recognition Using LSTM Neural Network. ICONIP (4) 2017: 820-829 - [c21]Li-Huan Du, Wei Liu, Wei-Long Zheng, Bao-Liang Lu:
Detecting driving fatigue with multimodal deep learning. NER 2017: 74-77 - [c20]Zhen-Feng Shi, Chang Zhou, Wei-Long Zheng, Bao-Liang Lu:
Attention evaluation with eye tracking glasses for EEG-based emotion recognition. NER 2017: 86-89 - [c19]Si-Yuan Wu, Moritz Schaefer, Wei-Long Zheng, Bao-Liang Lu, Hiroshi Yokoi:
Neural patterns between Chinese and Germans for EEG-based emotion recognition. NER 2017: 94-97 - [i4]Changde Du, Changying Du, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He:
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition. CoRR abs/1704.07548 (2017) - 2016
- [j2]Yong Peng, Wei-Long Zheng, Bao-Liang Lu:
An unsupervised discriminative extreme learning machine and its applications to data clustering. Neurocomputing 174: 250-264 (2016) - [c18]Wei Liu, Wei-Long Zheng, Bao-Liang Lu:
Emotion Recognition Using Multimodal Deep Learning. ICONIP (2) 2016: 521-529 - [c17]Nan Zhang, Wei-Long Zheng, Wei Liu, Bao-Liang Lu:
Continuous Vigilance Estimation Using LSTM Neural Networks. ICONIP (2) 2016: 530-537 - [c16]Wei-Long Zheng, Bao-Liang Lu:
Personalizing EEG-Based Affective Models with Transfer Learning. IJCAI 2016: 2732-2739 - [c15]Xue-Qin Huo, Wei-Long Zheng, Bao-Liang Lu:
Driving fatigue detection with fusion of EEG and forehead EOG. IJCNN 2016: 897-904 - [c14]Li-Li Wang, Wei-Long Zheng, Hai-Wei Ma, Bao-Liang Lu:
Measuring sleep quality from EEG with machine learning approaches. IJCNN 2016: 905-912 - [i3]Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu:
Identifying Stable Patterns over Time for Emotion Recognition from EEG. CoRR abs/1601.02197 (2016) - [i2]Wei Liu, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Emotion Recognition Using Multimodal Deep Learning. CoRR abs/1602.08225 (2016) - [i1]Wei-Long Zheng, Bao-Liang Lu:
A Multimodal Approach to Estimating Vigilance Using EEG and Forehead EOG. CoRR abs/1611.08492 (2016) - 2015
- [j1]Wei-Long Zheng, Bao-Liang Lu:
Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks. IEEE Trans. Auton. Ment. Dev. 7(3): 162-175 (2015) - [c13]Wei-Long Zheng, Yong-Qi Zhang, Jia-Yi Zhu, Bao-Liang Lu:
Transfer components between subjects for EEG-based emotion recognition. ACII 2015: 917-922 - [c12]Yong-Qi Zhang, Wei-Long Zheng, Bao-Liang Lu:
Transfer Components Between Subjects for EEG-based Driving Fatigue Detection. ICONIP (4) 2015: 61-68 - [c11]Yifei Lu, Wei-Long Zheng, Binbin Li, Bao-Liang Lu:
Combining Eye Movements and EEG to Enhance Emotion Recognition. IJCAI 2015: 1170-1176 - [c10]Wei-Long Zheng, Hao-Tian Guo, Bao-Liang Lu:
Revealing critical channels and frequency bands for emotion recognition from EEG with deep belief network. NER 2015: 154-157 - [c9]Yu-Fei Zhang, Xiang-Yu Gao, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu:
A novel approach to driving fatigue detection using forehead EOG. NER 2015: 707-710 - [c8]Xiang-Yu Gao, Yu-Fei Zhang, Wei-Long Zheng, Bao-Liang Lu:
Evaluating driving fatigue detection algorithms using eye tracking glasses. NER 2015: 767-770 - 2014
- [c7]Yong Peng, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu:
EEG-based emotion recognition with manifold regularized extreme learning machine. EMBC 2014: 974-977 - [c6]Wei-Long Zheng, Bo-Nan Dong, Bao-Liang Lu:
Multimodal emotion recognition using EEG and eye tracking data. EMBC 2014: 5040-5043 - [c5]Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu:
Multimodel emotion analysis in response to multimedia. ICME Workshops 2014: 1-2 - [c4]Wei-Long Zheng, Jia-Yi Zhu, Yong Peng, Bao-Liang Lu:
EEG-based emotion classification using deep belief networks. ICME 2014: 1-6 - [c3]Shan-Chun Shen, Wei-Long Zheng, Bao-Liang Lu:
Online Object Tracking Based on Depth Image with Sparse Coding. ICONIP (3) 2014: 234-241 - [c2]Xuemin Zhu, Wei-Long Zheng, Bao-Liang Lu, Xiaoping Chen, Shanguang Chen, Chunhui Wang:
EOG-based drowsiness detection using convolutional neural networks. IJCNN 2014: 128-134 - [c1]Jia-Yi Zhu, Wei-Long Zheng, Yong Peng, Ruo-Nan Duan, Bao-Liang Lu:
EEG-based emotion recognition using discriminative graph regularized extreme learning machine. IJCNN 2014: 525-532
Coauthor Index
[c60] [c59] [c58] [c57] [c56] [i10] [i9] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [i8] [j14] [j12] [c41] [c40] [c39] [j11] [j8] [i7] [j6] [j5] [c38] [c37] [c36] [c35] [c34] [c33] [i6] [j4] [c32] [c31] [c30] [c29] [c28] [c27] [i5] [j3] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i4] [j2] [c18] [c17] [c16] [c15] [c14] [i3] [i2] [i1] [j1] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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 2024-11-07 20:32 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:
