default search action
Da-Cheng Juan
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [c44]Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu:
RARR: Researching and Revising What Language Models Say, Using Language Models. ACL (1) 2023: 16477-16508 - [i33]Yicheng Fan, Dana Alon, Jingyue Shen, Daiyi Peng, Keshav Kumar, Yun Long, Xin Wang, Fotis Iliopoulos, Da-Cheng Juan, Erik Vee:
LayerNAS: Neural Architecture Search in Polynomial Complexity. CoRR abs/2304.11517 (2023) - [i32]Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins:
Substance or Style: What Does Your Image Embedding Know? CoRR abs/2307.05610 (2023) - [i31]Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian:
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. CoRR abs/2311.17946 (2023) - 2022
- [i30]Yu-Jen Chen, Wei-Hsiang Shen, Hao-Wei Chung, Jing-Hao Chiu, Da-Cheng Juan, Tsung-Ying Ho, Chi-Tung Cheng, Meng-Lin Li, Tsung-Yi Ho:
Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation. CoRR abs/2209.01604 (2022) - [i29]Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu:
Attributed Text Generation via Post-hoc Research and Revision. CoRR abs/2210.08726 (2022) - 2021
- [c43]Huang-Cheng Chou
, Woan-Shiuan Chien
"Does it Matter When I Think You Are Lying?" Improving Deception Detection by Integrating Interlocutor's Judgements in Conversations. ACL/IJCNLP (Findings) 2021: 1846-1860 - [c42]Zheyu Yan
Uncertainty Modeling of Emerging Device based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search. ASP-DAC 2021: 859-864 - [c41]Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan:
Adversarial Robustness Across Representation Spaces. CVPR 2021: 7608-7616 - [c40]Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan:
HyperGrid Transformers: Towards A Single Model for Multiple Tasks. ICLR 2021 - [c39]Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng:
Synthesizer: Rethinking Self-Attention for Transformer Models. ICML 2021: 10183-10192 - [c38]Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler:
OmniNet: Omnidirectional Representations from Transformers. ICML 2021: 10193-10202 - [c37]Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang
Neural Structured Learning: Training Neural Networks with Structured Signals. WSDM 2021: 1150-1153 - [i28]Shuai Zhang, Yi Tay, Wenqi Jiang, Da-Cheng Juan, Ce Zhang:
Switch Spaces: Learning Product Spaces with Sparse Gating. CoRR abs/2102.08688 (2021) - [i27]Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler:
OmniNet: Omnidirectional Representations from Transformers. CoRR abs/2103.01075 (2021) - [i26]Chun-Ta Lu, Yun Zeng, Da-Cheng Juan, Yicheng Fan, Zhe Li, Jan Dlabal, Yi-Ting Chen, Arjun Gopalan, Allan Heydon, Chun-Sung Ferng, Reah Miyara, Ariel Fuxman, Futang Peng, Zhen Li, Tom Duerig, Andrew Tomkins:
CARLS: Cross-platform Asynchronous Representation Learning System. CoRR abs/2105.12849 (2021) - [i25]Zheyu Yan, Da-Cheng Juan, Xiaobo Sharon Hu, Yiyu Shi:
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search. CoRR abs/2107.06871 (2021) - [i24]Wei-Cheng Tseng, Wei Wei, Da-Cheng Juan, Min Sun:
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module. CoRR abs/2112.07222 (2021) - 2020
- [c36]An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun:
InstaNAS: Instance-Aware Neural Architecture Search. AAAI 2020: 3577-3584 - [c35]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. ACL 2020: 6901-6914 - [c34]Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan:
Remix: Rebalanced Mixup. ECCV Workshops (6) 2020: 95-110 - [c33]Chieh-Yang Chen, Pei-Hsin Wang, Shih-Chieh Chang, Da-Cheng Juan, Wei Wei, Jia-Yu Pan:
AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval. EMNLP (Findings) 2020: 884-897 - [c32]Ming Zhu, Aman Ahuja, Da-Cheng Juan, Wei Wei, Chandan K. Reddy:
Question Answering with Long Multiple-Span Answers. EMNLP (Findings) 2020: 3840-3849 - [c31]Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan:
Sparse Sinkhorn Attention. ICML 2020: 9438-9447 - [c30]Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu:
Neural Structured Learning: Training Neural Networks with Structured Signals. KDD 2020: 3501-3502 - [c29]Hung-Jen Chen, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization. NeurIPS 2020 - [c28]Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Ultra Fine-Grained Image Semantic Embedding. WSDM 2020: 277-285 - [i23]Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan:
Sparse Sinkhorn Attention. CoRR abs/2002.11296 (2020) - [i22]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. CoRR abs/2005.00545 (2020) - [i21]Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng:
Synthesizer: Rethinking Self-Attention in Transformer Models. CoRR abs/2005.00743 (2020) - [i20]Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan:
Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks. CoRR abs/2007.03230 (2020) - [i19]Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan:
Remix: Rebalanced Mixup. CoRR abs/2007.03943 (2020) - [i18]Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan:
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections. CoRR abs/2007.05891 (2020) - [i17]Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan:
Adversarial Robustness Across Representation Spaces. CoRR abs/2012.00802 (2020) - [i16]Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins:
Graph Autoencoders with Deconvolutional Networks. CoRR abs/2012.11898 (2020)
2010 – 2019
- 2019
- [c27]Yu-Lun Hsieh, Minhao Cheng
On the Robustness of Self-Attentive Models. ACL (1) 2019: 1520-1529 - [c26]Trapit Bansal, Da-Cheng Juan, Sujith Ravi, Andrew McCallum:
A2N: Attending to Neighbors for Knowledge Graph Inference. ACL (1) 2019: 4387-4392 - [c25]Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen
COCO-GAN: Generation by Parts via Conditional Coordinating. ICCV 2019: 4511-4520 - [c24]Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Improving Adversarial Robustness via Guided Complement Entropy. ICCV 2019: 4880-4888 - [c23]Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Complement Objective Training. ICLR (Poster) 2019 - [c22]Chun-Hao Liu, Da-Cheng Juan, Xuan-An Tseng, Wei Wei, Yu-Ting Chen, Jia-Yu Pan, Shih-Chieh Chang:
Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins. PAKDD (2) 2019: 217-228 - [i15]Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Graph-RISE: Graph-Regularized Image Semantic Embedding. CoRR abs/1902.10814 (2019) - [i14]Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Complement Objective Training. CoRR abs/1903.01182 (2019) - [i13]Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Improving Adversarial Robustness via Guided Complement Entropy. CoRR abs/1903.09799 (2019) - [i12]Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
COCO-GAN: Generation by Parts via Conditional Coordinating. CoRR abs/1904.00284 (2019) - [i11]Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh:
Natural Adversarial Sentence Generation with Gradient-based Perturbation. CoRR abs/1909.04495 (2019) - [i10]Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Learning with Hierarchical Complement Objective. CoRR abs/1911.07257 (2019) - 2018
- [c21]Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu
HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks. DATE 2018: 19-24 - [c20]Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
Escaping from Collapsing Modes in a Constrained Space. ECCV (7) 2018: 212-227 - [c19]Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures. ECCV (11) 2018: 540-555 - [c18]An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Searching toward pareto-optimal device-aware neural architectures. ICCAD 2018: 136 - [c17]Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures. ICLR (Workshop) 2018 - [i9]Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures. CoRR abs/1806.08198 (2018) - [i8]Chi-Hung Hsu, Shu-Huan Chang, Da-Cheng Juan, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Shih-Chieh Chang:
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning. CoRR abs/1806.10332 (2018) - [i7]Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
Escaping from Collapsing Modes in a Constrained Space. CoRR abs/1808.07258 (2018) - [i6]An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Searching Toward Pareto-Optimal Device-Aware Neural Architectures. CoRR abs/1808.09830 (2018) - [i5]An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun:
InstaNAS: Instance-aware Neural Architecture Search. CoRR abs/1811.10201 (2018) - 2017
- [c16]Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu:
\emphNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. ACML 2017: 622-637 - [c15]Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. DSAA 2017: 341-350 - [c14]You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang:
DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters. ECML/PKDD (3) 2017: 64-76 - [i4]You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang:
DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters. CoRR abs/1709.06537 (2017) - [i3]Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu:
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. CoRR abs/1710.05420 (2017) - [i2]Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu:
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks. CoRR abs/1712.02446 (2017) - 2016
- [j7]Jiajia Jiao, Diana Marculescu
A two-level approximate model driven framework for characterizing Multi-Cell Upsets impacts on processors. Microelectron. J. 48: 7-17 (2016) - [j6]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui
A Support Vector Regression (SVR)-Based Latency Model for Network-on-Chip (NoC) Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(3): 471-484 (2016) - [j5]Ermao Cai, Da-Cheng Juan, Siddharth Garg, Jinpyo Park, Diana Marculescu
Learning-Based Power/Performance Optimization for Many-Core Systems With Extended-Range Voltage/Frequency Scaling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(8): 1318-1331 (2016) - [i1]Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos:
M3A: Model, MetaModel, and Anomaly Detection in Web Searches. CoRR abs/1606.05978 (2016) - 2015
- [j4]Jiajia Jiao, Da-Cheng Juan, Diana Marculescu
Exploiting component dependency for accurate and efficient soft error analysis via Probabilistic Graphical Models. Microelectron. Reliab. 55(1): 251-263 (2015) - [c13]Diana Marculescu
Understanding and Using Heterogeneity for High Performance, Energy Efficient Computing: Special Session Extended Abstract. CSCS 2015: 1000 - [c12]Jinglan Liu, Da-Cheng Juan, Yiyu Shi:
Effective CAD Research in the Sea of Papers. ICCAD 2015: 781-785 - 2014
- [b1]Da-Cheng Juan:
A Learning-Based Framework Incorporating Domain Knowledge for Performance Modeling. Carnegie Mellon University, USA, 2014 - [j3]Da-Cheng Juan, Siddharth Garg, Diana Marculescu
Statistical Peak Temperature Prediction and Thermal Yield Improvement for 3D Chip Multiprocessors. ACM Trans. Design Autom. Electr. Syst. 19(4): 39:1-39:23 (2014) - [c11]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan
A comprehensive and accurate latency model for Network-on-Chip performance analysis. ASP-DAC 2014: 323-328 - [c10]Da-Cheng Juan, Lei Li
Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter. PAKDD (2) 2014: 198-209 - 2013
- [c9]Da-Cheng Juan, Siddharth Garg, Jinpyo Park, Diana Marculescu
Learning the optimal operating point for many-core systems with extended range voltage/frequency scaling. CODES+ISSS 2013: 8:1-8:10 - [c8]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu
SVR-NoC: a performance analysis tool for network-on-chips using learning-based support vector regression model. DATE 2013: 354-357 - [c7]Da-Cheng Juan, Siddharth Garg, Diana Marculescu
Impact of manufacturing process variations on performance and thermal characteristics of 3D ICs: Emerging challenges and new solutions. ISCAS 2013: 541-544 - 2012
- [c6]Da-Cheng Juan, Huapeng Zhou, Diana Marculescu
A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors. ASP-DAC 2012: 597-602 - [c5]Da-Cheng Juan, Yi-Lin Chuang, Diana Marculescu, Yao-Wen Chang:
Statistical thermal modeling and optimization considering leakage power variations. DATE 2012: 605-610 - [c4]Da-Cheng Juan, Diana Marculescu
Power-aware performance increase via core/uncore reinforcement control for chip-multiprocessors. ISLPED 2012: 97-102 - 2011
- [c3]Da-Cheng Juan, Siddharth Garg, Diana Marculescu:
Statistical thermal evaluation and mitigation techniques for 3D Chip-Multiprocessors in the presence of process variations. DATE 2011: 383-388 - 2010
- [j2]De-Shiuan Chiou, Yu-Ting Chen, Da-Cheng Juan, Shih-Chieh Chang:
Sleep Transistor Sizing for Leakage Power Minimization Considering Temporal Correlation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(8): 1285-1289 (2010) - [j1]Da-Cheng Juan, Yu-Ting Chen, Ming-Chao Lee, Shih-Chieh Chang:
An Efficient Wake-Up Strategy Considering Spurious Glitches Phenomenon for Power Gating Designs. IEEE Trans. Very Large Scale Integr. Syst. 18(2): 246-255 (2010)
2000 – 2009
- 2007
- [c2]De-Shiuan Chiou, Da-Cheng Juan, Yu-Ting Chen, Shih-Chieh Chang:
Fine-Grained Sleep Transistor Sizing Algorithm for Leakage Power Minimization. DAC 2007: 81-86 - [c1]Yu-Ting Chen, Da-Cheng Juan, Ming-Chao Lee, Shih-Chieh Chang:
An efficient wake-up schedule during power mode transition considering spurious glitches phenomenon. ICCAD 2007: 779-782
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 2024-10-30 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: