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Chen-Yu Lee
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2020 – today
- 2024
- [c52]I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister:
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. ACL (Findings) 2024: 12782-12803 - [c51]Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister:
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. ACL (Findings) 2024: 14982-14995 - [c50]Vincent Perot, Kai Kang, Florian Luisier, Guolong Su, Xiaoyu Sun, Ramya Sree Boppana, Zilong Wang, Zifeng Wang, Jiaqi Mu, Hao Zhang, Chen-Yu Lee, Nan Hua:
LMDX: Language Model-based Document Information Extraction and Localization. ACL (Findings) 2024: 15140-15168 - [c49]Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister:
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. ICLR 2024 - [i33]Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister:
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. CoRR abs/2401.04398 (2024) - [i32]Kuniaki Saito, Kihyuk Sohn, Chen-Yu Lee, Yoshitaka Ushiku:
Unsupervised LLM Adaptation for Question Answering. CoRR abs/2402.12170 (2024) - [i31]Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister:
CodecLM: Aligning Language Models with Tailored Synthetic Data. CoRR abs/2404.05875 (2024) - [i30]I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister:
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. CoRR abs/2406.05365 (2024) - [i29]Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister:
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization. CoRR abs/2406.16008 (2024) - [i28]Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister:
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. CoRR abs/2407.08223 (2024) - 2023
- [c48]Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister:
Neural Spline Search for Quantile Probabilistic Modeling. AAAI 2023: 9927-9934 - [c47]Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister:
QueryForm: A Simple Zero-shot Form Entity Query Framework. ACL (Findings) 2023: 4146-4159 - [c46]Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister:
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. ACL (Findings) 2023: 8003-8017 - [c45]Chen-Yu Lee, Chun-Liang Li, Hao Zhang, Timothy Dozat, Vincent Perot, Guolong Su, Xiang Zhang, Kihyuk Sohn, Nikolay Glushnev, Renshen Wang, Joshua Ainslie, Shangbang Long, Siyang Qin, Yasuhisa Fujii, Nan Hua, Tomas Pfister:
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. ACL (1) 2023: 9011-9026 - [c44]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Prefix Conditioning Unifies Language and Label Supervision. CVPR 2023: 2861-2870 - [c43]Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu, Chen-Yu Lee:
Multimodal Prompting with Missing Modalities for Visual Recognition. CVPR 2023: 14943-14952 - [c42]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CVPR 2023: 19305-19314 - [c41]Zilong Wang
, Yichao Zhou
, Wei Wei
, Chen-Yu Lee
, Sandeep Tata
:
VRDU: A Benchmark for Visually-rich Document Understanding. KDD 2023: 5184-5193 - [c40]Yi-Lun Lee, Dian-Shan Chen, Chen-Yu Lee, Yi-Hsuan Tsai, Wei-Chen Chiu:
Data Efficient Incremental Learning via Attentive Knowledge Replay. SMC 2023: 2952-2959 - [c39]Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister:
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. WACV 2023: 5468-5479 - [c38]Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister:
Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. WACV 2023: 5633-5642 - [i27]Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister:
Neural Spline Search for Quantile Probabilistic Modeling. CoRR abs/2301.04857 (2023) - [i26]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CoRR abs/2302.03084 (2023) - [i25]Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu, Chen-Yu Lee:
Multimodal Prompting with Missing Modalities for Visual Recognition. CoRR abs/2303.03369 (2023) - [i24]Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alexander Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister:
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. CoRR abs/2305.02301 (2023) - [i23]Chen-Yu Lee, Chun-Liang Li, Hao Zhang, Timothy Dozat, Vincent Perot, Guolong Su, Xiang Zhang, Kihyuk Sohn, Nikolai Glushnev, Renshen Wang, Joshua Ainslie, Shangbang Long, Siyang Qin, Yasuhisa Fujii, Nan Hua, Tomas Pfister:
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. CoRR abs/2305.02549 (2023) - [i22]Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister:
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models. CoRR abs/2308.00675 (2023) - 2022
- [j9]Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister:
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection. Trans. Mach. Learn. Res. 2022 (2022) - [c37]Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. AAAI 2022: 1341-1349 - [c36]Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister:
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. ACL (1) 2022: 3735-3754 - [c35]Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
Learning to Prompt for Continual Learning. CVPR 2022: 139-149 - [c34]Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) 2022: 631-648 - [i21]Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister:
Towards Group Robustness in the presence of Partial Group Labels. CoRR abs/2201.03668 (2022) - [i20]Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister:
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. CoRR abs/2203.08411 (2022) - [i19]Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR abs/2204.04799 (2022) - [i18]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko
, Tomas Pfister:
Prefix Conditioning Unifies Language and Label Supervision. CoRR abs/2206.01125 (2022) - [i17]Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister:
QueryForm: A Simple Zero-shot Form Entity Query Framework. CoRR abs/2211.07730 (2022) - [i16]Zilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata:
A Benchmark for Structured Extractions from Complex Documents. CoRR abs/2211.15421 (2022) - 2021
- [c33]Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok C. Popat, Tomas Pfister:
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction. ACL/IJCNLP (2) 2021: 314-321 - [i15]Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts. CoRR abs/2101.03713 (2021) - [i14]Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister:
Self-Trained One-class Classification for Unsupervised Anomaly Detection. CoRR abs/2106.06115 (2021) - [i13]Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok C. Popat, Tomas Pfister:
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction. CoRR abs/2106.10786 (2021) - [i12]Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
Learning to Prompt for Continual Learning. CoRR abs/2112.08654 (2021) - [i11]Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister:
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. CoRR abs/2112.11573 (2021) - 2020
- [c32]Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht:
Learning to Branch for Multi-Task Learning. ICML 2020: 3854-3863 - [i10]Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister:
A Simple Semi-Supervised Learning Framework for Object Detection. CoRR abs/2005.04757 (2020) - [i9]Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht:
Learning to Branch for Multi-Task Learning. CoRR abs/2006.01895 (2020)
2010 – 2019
- 2019
- [c31]Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht:
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. CVPR 2019: 10285-10295 - [i8]Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht:
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. CoRR abs/1903.04064 (2019) - 2018
- [j8]Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu
:
Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 863-875 (2018) - [c30]Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich:
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. ICML 2018: 793-802 - 2017
- [c29]Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich:
RoomNet: End-to-End Room Layout Estimation. ICCV 2017: 4875-4884 - [c28]Chen-Yu Lee, Jia-Fong Yeh, Tsung-Che Chiang:
A Many-Objective Evolutionary Algorithm with Reference Point-Based and Vector Angle-Based Selection. ICGEC 2017: 3-11 - [c27]Zhong-Yi Lin, Tsung-Che Chiang, Chen-Yu Lee:
Adaptive Multiobjective Differential Evolution Algorithms for Environmental/Economic Dispatch. IIAI-AAI 2017: 909-914 - [i7]Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich:
RoomNet: End-to-End Room Layout Estimation. CoRR abs/1703.06241 (2017) - [i6]Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich:
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. CoRR abs/1711.02257 (2017) - 2016
- [b1]Chen-Yu Lee:
Enhanced Convolutional Neural Networks and Their Application to Photo Optical Character Recognition. University of California, San Diego, USA, 2016 - [c26]Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu:
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree. AISTATS 2016: 464-472 - [c25]Chen-Yu Lee, Simon Osindero:
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild. CVPR 2016: 2231-2239 - [i5]Chen-Yu Lee, Simon Osindero:
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild. CoRR abs/1603.03101 (2016) - 2015
- [j7]Chen-Yu Lee, Patrick Kamongi, Krishna Kavi, Mahadevan Gomathisankaran:
Optimus: Framework of Vulnerabilities, Attacks, Defenses and SLA Ontologies. Int. J. Next Gener. Comput. 6(1) (2015) - [j6]Sukryool Kang, Chen-Yu Lee, Monira Goncalves, Andrew D. Chisholm
, Pamela C. Cosman
:
Tracking Epithelial Cell Junctions in C. elegans Embryogenesis With Active Contours Guided by SIFT Flow. IEEE Trans. Biomed. Eng. 62(4): 1020-1033 (2015) - [j5]Mingfu Li
, Chen-Yu Lee:
A cost-effective and real-time QoE evaluation method for multimedia streaming services. Telecommun. Syst. 59(3): 317-327 (2015) - [c24]Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu:
Deeply-Supervised Nets. AISTATS 2015 - [c23]Chen-Yu Lee, Krishna M. Kavi, Raymond A. Paul, Mahadevan Gomathisankaran:
Ontology of Secure Service Level Agreement. HASE 2015: 166-172 - [i4]Chen-Yu Lee, Deng-Jyi Chen:
A Content Creation and Protection Scheme for Medical Images. CoRR abs/1504.03385 (2015) - [i3]Liwei Wang, Chen-Yu Lee, Zhuowen Tu, Svetlana Lazebnik:
Training Deeper Convolutional Networks with Deep Supervision. CoRR abs/1505.02496 (2015) - [i2]Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu:
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree. CoRR abs/1509.08985 (2015) - 2014
- [c22]Chen-Yu Lee, Anurag Bhardwaj, Wei Di, Vignesh Jagadeesh, Robinson Piramuthu:
Region-Based Discriminative Feature Pooling for Scene Text Recognition. CVPR 2014: 4050-4057 - [c21]Soo-Chang Pei, Yu-Tai Tsai, Chen-Yu Lee:
Removing rain and snow in a single image using saturation and visibility features. ICME Workshops 2014: 1-6 - [c20]Chen-Yu Lee, Sukryool Kang, Andrew D. Chisholm, Pamela C. Cosman:
Automated cell junction tracking with modified active contours guided by SIFT flow. ISBI 2014: 290-293 - [i1]Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu:
Deeply-Supervised Nets. CoRR abs/1409.5185 (2014) - 2013
- [j4]Chu-Hsing Lin, Chen-Yu Lee, Krishna M. Kavi, Deng-Jyi Chen, Yi-Shiung Yeh:
Finding Near-Optimum Message Scheduling Settings for SHA-256 Variants Using Genetic Algorithms. J. Inf. Sci. Eng. 29(5): 889-905 (2013) - [c19]Hsiang-Yuan Hsueh, Chen-Yu Lee, Wen-Chiuan Liao, Ko-Li Kan:
Bi-directional and targeted AMI: Reference model based on internet-of-things. ISCE 2013: 165-166 - 2011
- [j3]Chu-Hsing Lin, Chen-Yu Lee, Deng-Jyi Chen:
Modified Autonomous Key Management Scheme with Reduced Communication/Computation Costs in MANET. Comput. Informatics 30(6): 1167-1180 (2011) - [c18]Chu-Hsing Lin, Yi-Shiung Yeh, Shih-Pei Chien, Chen-Yu Lee, Hung-Sheng Chien:
Generalized secure hash algorithm: SHA-X. EUROCON 2011: 1-4 - [c17]Chu-Hsing Lin, Chen-Yu Lee, Tzu-Chien Yang, Shin-Pin Lai:
Visible Watermarking Based on Multi-parameters Adjustable Gamma Correction. FGIT-FGCN (1) 2011: 87-92 - [c16]Chu-Hsing Lin, Chen-Yu Lee, Shu-Yuan Lu, Shih-Pei Chien:
Unseen Visible Watermarking for Gray Level Images Based on Gamma Correction. FGIT-FGCN (1) 2011: 236-243 - 2010
- [c15]Chu-Hsing Lin, Chen-Yu Lee:
Modified Autonomous Key Management Scheme with Reduced Communication/Computation Costs in MANET. CISIS 2010: 818-821
2000 – 2009
- 2009
- [c14]Chu-Hsing Lin, Chen-Yu Lee, Jung-Chun Liu, Hao-Tian Zuo:
Investigations of Factors Affecting the Genetic Algorithm for Shortest Driving Time. SoCPaR 2009: 106-111 - 2008
- [j2]Chen-Yu Lee, Von-Wun Soo:
Erratum to "The conflict detection and resolution in knowledge merging for image annotation" [Information Processing and Management 42 (2006) 1030-1055]. Inf. Process. Manag. 44(1): 430 (2008) - [c13]Jui-Hung Chen, Timothy K. Shih, Chun-Chia Wang, Shu-Wei Yeh, Chen-Yu Lee:
Combine Personal Blog Functionalities with LMS Using Tools Interoperability Architecture. AINA 2008: 146-151 - [c12]Hsuan-Pu Chang, Jason C. Hung, Chun-Chia Wang, Meng-Ting Weng, Timothy K. Shih, Chen-Yu Lee:
A Learning Content Adaptation Tool with Templates for Different Handhelds. AINA 2008: 457-463 - [c11]Hsuan-Pu Chang, Chun-Chia Wang, Timothy K. Shih, Louis R. Chao, Shu-Wei Yeh, Chen-Yu Lee:
A Semiautomatic Content Adaptation Authoring Tool for Mobile Learning. ICWL 2008: 529-540 - 2007
- [c10]Jao-Hong Cheng, Chen-Yu Lee:
Product Outsourcing under Uncertainty: an Application of Fuzzy Real Option Approach. FUZZ-IEEE 2007: 1-6 - 2006
- [c9]Jao-Hong Cheng, Cheng-Wei Chen, Chen-Yu Lee:
Using Fuzzy Analytical Hierarchy Process for Multi-criteria Evaluation Model of High-yield Bonds Investment. FUZZ-IEEE 2006: 1049-1056 - 2005
- [c8]Chen-Yu Lee, Von-Wun Soo:
Modeling Annotators to Improve Semantic Annotation and Retrieval of Images. IAT 2005: 254-257 - [c7]Chen-Yu Lee, Von-Wun Soo:
Ontology-based information retrieval and extraction. ITRE 2005: 265-269 - 2004
- [c6]Chen-Yu Lee, Von-Wun Soo, Yi-Ting Fu:
How to annotate an image?: the need of an image annotation guide agent. JCDL 2004: 394 - [c5]Chen-Yu Lee, Von-Wun Soo, Yi-Ting Fu:
An Image Annotation Guide Agent. PRIMA 2004: 148-161 - 2003
- [c4]Von-Wun Soo, Chen-Yu Lee, Chung-Cheng Li, Shu Lei Chen, Ching-chih Chen:
Automated Semantic Annotation and Retrieval Based on Sharable Ontology and Case-Based Learning Techniques. JCDL 2003: 61- - 2002
- [c3]Von-Wun Soo, Chen-Yu Lee, Jaw Jium Yeh, Ching-chih Chen:
Using sharable ontology to retrieve historical images. JCDL 2002: 197-198 - [c2]Chu-Hsing Lin, Chen-Yu Lee:
A Software Protection System for Internet Commerce. IEEE Pacific Rim Conference on Multimedia 2002: 1033-1040 - 2001
- [c1]Jyi-Shane Liu, Von-Wun Soo, Chia-Ning Chiang, Chen-Yu Lee, Chun-Yu Lin:
Gaz-Guide: Agent-Mediated Information Retrieval for Official Gazettes. PRIMA 2001: 154-167
1990 – 1999
- 1995
- [j1]Yue-Li Wang, Hon-Chan Chen, Chen-Yu Lee:
An O(log n) Parallel Algorithm for Constructing a Spanning Tree on Permutation Graphs. Inf. Process. Lett. 56(2): 83-87 (1995)
Coauthor Index
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