default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHwanjun Song
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[c45]Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon Kim, Taewon Yun, Hwanjun Song:
Learning to Verify Summary Facts with Fine-Grained LLM Feedback. COLING 2025: 230-242- 2024
- [j5]Jemin Lee
, Yongin Kwon, Sihyeong Park, Misun Yu, Jeman Park, Hwanjun Song:
Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers With Bridge Block Reconstruction for IoT Systems. IEEE Internet Things J. 11(22): 36384-36396 (2024) - [j4]Hwanjun Song, Jihwan Bang:
Prompt-guided DETR with RoI-pruned masked attention for open-vocabulary object detection. Pattern Recognit. 155: 110648 (2024) - [c44]Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee:
Adaptive Shortcut Debiasing for Online Continual Learning. AAAI 2024: 13122-13131 - [c43]Hwanjun Song, Minseok Kim, Jae-Gil Lee:
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise. AAAI 2024: 21592-21601 - [c42]Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour:
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. ACL (1) 2024: 552-567 - [c41]Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour:
FineSurE: Fine-grained Summarization Evaluation using LLMs. ACL (1) 2024: 906-922 - [c40]Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai:
Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-Defined Highlights. ECCV (50) 2024: 464-481 - [c39]Yuho Lee, Taewon Yun, Jason Cai, Hang Su, Hwanjun Song:
UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs. EMNLP (Findings) 2024: 3941-3960 - [c38]Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee:
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. ICML 2024 - [c37]Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen McKeown:
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. NAACL-HLT 2024: 4455-4480 - [c36]Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Lijia Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour:
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. NAACL-HLT 2024: 5150-5167 - [c35]Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour:
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection. NAACL-HLT 2024: 5976-5996 - [c34]Yooju Shin, Jaehyun Park, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee:
Exploiting Representation Curvature for Boundary Detection in Time Series. NeurIPS 2024 - [c33]Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee:
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. WWW 2024: 4204-4215 - [i36]Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen R. McKeown:
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. CoRR abs/2402.13249 (2024) - [i35]Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour:
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. CoRR abs/2403.03194 (2024) - [i34]Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour:
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection. CoRR abs/2403.04073 (2024) - [i33]Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour:
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. CoRR abs/2403.04314 (2024) - [i32]Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour:
FineSurE: Fine-grained Summarization Evaluation using LLMs. CoRR abs/2407.00908 (2024) - [i31]Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai:
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights. CoRR abs/2407.11449 (2024) - [i30]Yuho Lee, Taewon Yun, Jason Cai, Hang Su, Hwanjun Song:
UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs. CoRR abs/2409.19898 (2024) - [i29]Hwanjun Song, Taewon Yun, Yuho Lee, Gihun Lee, Jason Cai, Hang Su:
Learning to Summarize from LLM-generated Feedback. CoRR abs/2410.13116 (2024) - [i28]Junyong Kang, Donghyun Son, Hwanjun Song, Buru Chang:
In-Context Learning with Noisy Labels. CoRR abs/2411.19581 (2024) - [i27]Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon Kim, Taewon Yun, Hwanjun Song:
Learning to Verify Summary Facts with Fine-Grained LLM Feedback. CoRR abs/2412.10689 (2024) - 2023
- [j3]Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee:
Learning From Noisy Labels With Deep Neural Networks: A Survey. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8135-8153 (2023) - [j2]Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee:
Data collection and quality challenges in deep learning: a data-centric AI perspective. VLDB J. 32(4): 791-813 (2023) - [c32]Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun:
Re-Thinking Federated Active Learning Based on Inter-Class Diversity. CVPR 2023: 3944-3953 - [c31]Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun:
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. EMNLP 2023: 5910-5924 - [c30]Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour:
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. EMNLP (Findings) 2023: 7026-7036 - [c29]Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song:
Generating Instance-level Prompts for Rehearsal-free Continual Learning. ICCV 2023: 11813-11823 - [c28]Hyunseo Koh, Minhyuk Seo, Jihwan Bang, Hwanjun Song, Deokki Hong, Seulki Park, Jung-Woo Ha, Jonghyun Choi:
Online Boundary-Free Continual Learning by Scheduled Data Prior. ICLR 2023 - [c27]Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee:
Context Consistency Regularization for Label Sparsity in Time Series. ICML 2023: 31579-31595 - [c26]Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee:
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. NeurIPS 2023 - [i26]Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun:
Re-thinking Federated Active Learning based on Inter-class Diversity. CoRR abs/2303.12317 (2023) - [i25]Jemin Lee, Yongin Kwon, Jeman Park, Misun Yu, Hwanjun Song:
Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction. CoRR abs/2303.12557 (2023) - [i24]Hwanjun Song, Jihwan Bang:
Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection. CoRR abs/2303.14386 (2023) - [i23]Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun:
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. CoRR abs/2310.05424 (2023) - [i22]Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour:
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. CoRR abs/2310.13760 (2023) - [i21]Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee:
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. CoRR abs/2311.01002 (2023) - [i20]Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee:
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. CoRR abs/2311.12048 (2023) - [i19]Hwanjun Song, Minseok Kim, Jae-Gil Lee:
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise. CoRR abs/2312.07087 (2023) - [i18]Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee:
Adaptive Shortcut Debiasing for Online Continual Learning. CoRR abs/2312.08677 (2023) - 2022
- [c25]Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee:
Meta-Learning for Online Update of Recommender Systems. AAAI 2022: 4065-4074 - [c24]Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee:
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. AAAI 2022: 11971-11981 - [c23]Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun:
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CIKM 2022: 972-981 - [c22]Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song:
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. CIKM 2022: 3484-3494 - [c21]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM 2022: 4359-4363 - [c20]Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi:
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. CVPR 2022: 9265-9274 - [c19]Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee:
Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. ICDM 2022: 1137-1142 - [c18]Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee:
Coherence-based Label Propagation over Time Series for Accelerated Active Learning. ICLR 2022 - [c17]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. ICLR 2022 - [c16]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML 2022: 11102-11118 - [c15]Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin:
Time Is MattEr: Temporal Self-supervision for Video Transformers. ICML 2022: 25804-25816 - [c14]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS 2022 - [c13]Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee:
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. NeurIPS 2022 - [i17]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR abs/2202.01339 (2022) - [i16]Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee:
Meta-Learning for Online Update of Recommender Systems. CoRR abs/2203.10354 (2022) - [i15]Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi:
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. CoRR abs/2203.15355 (2022) - [i14]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
An Extendable, Efficient and Effective Transformer-based Object Detector. CoRR abs/2204.07962 (2022) - [i13]Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun:
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CoRR abs/2205.01310 (2022) - [i12]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CoRR abs/2205.05282 (2022) - [i11]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR abs/2205.14959 (2022) - [i10]Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song:
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. CoRR abs/2207.00208 (2022) - [i9]Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin:
Time Is MattEr: Temporal Self-supervision for Video Transformers. CoRR abs/2207.09067 (2022) - [i8]Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee:
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. CoRR abs/2210.07805 (2022) - 2021
- [c12]Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee:
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. AAAI 2021: 4164-4171 - [c11]Hwanjun Song, Eunyoung Kim, Varun Jampani, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang:
Exploiting Scene Depth for Object Detection with Multimodal Transformers. BMVC 2021: 265 - [c10]Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee:
Robust Learning by Self-Transition for Handling Noisy Labels. KDD 2021: 1490-1500 - [c9]Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang:
Machine Learning Robustness, Fairness, and their Convergence. KDD 2021: 4046-4047 - [c8]Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee:
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. NeurIPS 2021: 4040-4052 - [i7]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. CoRR abs/2110.03921 (2021) - [i6]Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee:
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective. CoRR abs/2112.06409 (2021) - 2020
- [j1]Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee:
Ada-boundary: accelerating DNN training via adaptive boundary batch selection. Mach. Learn. 109(9-10): 1837-1853 (2020) - [c7]Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee:
Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. CIKM 2020: 1385-1394 - [c6]Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee:
Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea. KDD 2020: 3466-3473 - [c5]Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee:
Revisit Prediction by Deep Survival Analysis. PAKDD (2) 2020: 514-526 - [c4]Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee:
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data. WWW 2020: 1615-1624 - [i5]Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee:
Learning from Noisy Labels with Deep Neural Networks: A Survey. CoRR abs/2007.08199 (2020) - [i4]Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee:
Two-Phase Learning for Overcoming Noisy Labels. CoRR abs/2012.04337 (2020)
2010 – 2019
- 2019
- [c3]Hwanjun Song, Minseok Kim, Jae-Gil Lee:
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning. ICML 2019: 5907-5915 - [i3]Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee:
MLAT: Metric Learning for kNN in Streaming Time Series. CoRR abs/1910.10368 (2019) - [i2]Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee:
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection. CoRR abs/1911.08050 (2019) - [i1]Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee:
Prestopping: How Does Early Stopping Help Generalization against Label Noise? CoRR abs/1911.08059 (2019) - 2018
- [c2]Hwanjun Song, Jae-Gil Lee:
RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning. SIGMOD Conference 2018: 1173-1187 - 2017
- [c1]Hwanjun Song, Jae-Gil Lee, Wook-Shin Han:
PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency. KDD 2017: 1087-1096
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 2025-02-08 00:48 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:
