An O(log n) Parallel Algorithm for Constructing a Spanning Tree on Permutation Graphs. - Yue-Li Wang; Hon-Chan Chen; Chen-Yu Lee (Inf. Process. Lett., 1995)

Gaz-Guide: Agent-Mediated Information Retrieval for Official Gazettes. - Jyi-Shane Liu; Von-Wun Soo; Chia-Ning Chiang; Chen-Yu Lee; Chun-Yu Lin (PRIMA, 2001)

Using sharable ontology to retrieve historical images. - Von-Wun Soo; Chen-Yu Lee; Jaw Jium Yeh; Ching-chih Chen (JCDL, 2002)

A Software Protection System for Internet Commerce. - Chu-Hsing Lin; Chen-Yu Lee (IEEE Pacific Rim Conference on Multimedia, 2002)

Automated Semantic Annotation and Retrieval Based on Sharable Ontology and Case-Based Learning Techniques. - Von-Wun Soo; Chen-Yu Lee; Chung-Cheng Li; Shu Lei Chen; Ching-chih Chen (JCDL, 2003)

How to annotate an image?: the need of an image annotation guide agent. - Chen-Yu Lee; Von-Wun Soo; Yi-Ting Fu (JCDL, 2004)

An Image Annotation Guide Agent. - Chen-Yu Lee; Von-Wun Soo; Yi-Ting Fu (PRIMA, 2004)

Modeling Annotators to Improve Semantic Annotation and Retrieval of Images. - Chen-Yu Lee; Von-Wun Soo (IAT, 2005)

Ontology-based information retrieval and extraction. - Chen-Yu Lee; Von-Wun Soo (ITRE, 2005)

Using Fuzzy Analytical Hierarchy Process for Multi-criteria Evaluation Model of High-yield Bonds Investment. - Jao-Hong Cheng; Cheng-Wei Chen; Chen-Yu Lee (FUZZ-IEEE, 2006)

Product Outsourcing under Uncertainty: an Application of Fuzzy Real Option Approach. - Jao-Hong Cheng; Chen-Yu Lee (FUZZ-IEEE, 2007)

A Learning Content Adaptation Tool with Templates for Different Handhelds. - Hsuan-Pu Chang; Jason C. Hung; Chun-Chia Wang; Meng-Ting Weng; Timothy K. Shih; Chen-Yu Lee (AINA, 2008)

Combine Personal Blog Functionalities with LMS Using Tools Interoperability Architecture. - Jui-Hung Chen; Timothy K. Shih; Chun-Chia Wang; Shu-Wei Yeh; Chen-Yu Lee (AINA, 2008)

A Semiautomatic Content Adaptation Authoring Tool for Mobile Learning. - Hsuan-Pu Chang; Chun-Chia Wang; Timothy K. Shih; Louis R. Chao; Shu-Wei Yeh; Chen-Yu Lee (ICWL, 2008)

Erratum to "The conflict detection and resolution in knowledge merging for image annotation" [Information Processing and Management 42 (2006) 1030-1055]. - Chen-Yu Lee; Von-Wun Soo (Inf. Process. Manag., 2008)

Investigations of Factors Affecting the Genetic Algorithm for Shortest Driving Time. - Chu-Hsing Lin; Chen-Yu Lee; Jung-Chun Liu; Hao-Tian Zuo (SoCPaR, 2009)

Modified Autonomous Key Management Scheme with Reduced Communication/Computation Costs in MANET. - Chu-Hsing Lin; Chen-Yu Lee (CISIS, 2010)

Generalized secure hash algorithm: SHA-X. - Chu-Hsing Lin; Yi-Shiung Yeh; Shih-Pei Chien; Chen-Yu Lee; Hung-Sheng Chien (EUROCON, 2011)

Unseen Visible Watermarking for Gray Level Images Based on Gamma Correction. - Chu-Hsing Lin; Chen-Yu Lee; Shu-Yuan Lu; Shih-Pei Chien (FGIT-FGCN (1), 2011)

Visible Watermarking Based on Multi-parameters Adjustable Gamma Correction. - Chu-Hsing Lin; Chen-Yu Lee; Tzu-Chien Yang; Shin-Pin Lai (FGIT-FGCN (1), 2011)

Ontology-Driven E-Learning System for Automated Personalized Learning Service. - Bert Chen; Chen-Yu Lee; I-Chang Tsai (ICCE, 2011)

Modified Autonomous Key Management Scheme with Reduced Communication/Computation Costs in MANET. - Chu-Hsing Lin; Chen-Yu Lee; Deng-Jyi Chen (Comput. Informatics, 2011)

The Impact of Prior Knowledge and Level of Effort on the Learning Effectiveness of Subjects Using Game-Based and Traditional Certification Tutorial System. - Gwo-Haur Hwang; Chen-Yu Lee; Tsung-Yen Chuang; Wei-Fang Tseng (ICCE, 2012)

Using Augmented Reality to Assist an Interactive Multi-Language Learning System in an Elementary School. - Gwo-Haur Hwang; Chen-Yu Lee; Hen-Lin Hwang; Guan-Lin Huang; Jheng-Yi Lin; Junjie Cai (ICCE, 2013)

Development and Evaluation of a Problem Solving Oriented Game-Based Learning System. - Hsin-Yi Liang; Song-Yu Mei; Yu-Syuan Wang; Jhih-Liang Jiang; Gwo-Haur Hwang; Chen-Yu Lee (ICCE, 2013)

Bi-directional and targeted AMI: Reference model based on internet-of-things. - Hsiang-Yuan Hsueh; Chen-Yu Lee; Wen-Chiuan Liao; Ko-Li Kan (ISCE, 2013)

Finding Near-Optimum Message Scheduling Settings for SHA-256 Variants Using Genetic Algorithms. - Chu-Hsing Lin; Chen-Yu Lee; Krishna M. Kavi; Deng-Jyi Chen; Yi-Shiung Yeh (J. Inf. Sci. Eng., 2013)

Region-Based Discriminative Feature Pooling for Scene Text Recognition. - Chen-Yu Lee; Anurag Bhardwaj; Wei Di; Vignesh Jagadeesh; Robinson Piramuthu (CVPR, 2014)

Removing rain and snow in a single image using saturation and visibility features. - Soo-Chang Pei; Yu-Tai Tsai; Chen-Yu Lee (ICME Workshops, 2014)

Automated cell junction tracking with modified active contours guided by SIFT flow. - Chen-Yu Lee; Sukryool Kang; Andrew D. Chisholm; Pamela C. Cosman (ISBI, 2014)

Deeply-Supervised Nets. - Chen-Yu Lee; Saining Xie; Patrick W. Gallagher; Zhengyou Zhang; Zhuowen Tu (AISTATS, 2015)

Ontology of Secure Service Level Agreement. - Chen-Yu Lee; Krishna M. Kavi; Raymond A. Paul; Mahadevan Gomathisankaran (HASE, 2015)

The Development of a Game-Based Formative Assessment Mathematical Algebra Tutorial App. - Gwo-Haur Hwang; Chen-Yu Lee; Ting-Huan Kuo (ICCE, 2015)

A Content Creation and Protection Scheme for Medical Images. - Chen-Yu Lee; Deng-Jyi Chen (CoRR, 2015)

Training Deeper Convolutional Networks with Deep Supervision. - Liwei Wang 009; Chen-Yu Lee; Zhuowen Tu; Svetlana Lazebnik (CoRR, 2015)

Optimus: Framework of Vulnerabilities, Attacks, Defenses and SLA Ontologies. - Chen-Yu Lee; Patrick Kamongi; Krishna Kavi; Mahadevan Gomathisankaran (Int. J. Next Gener. Comput., 2015)

Tracking Epithelial Cell Junctions in C. elegans Embryogenesis With Active Contours Guided by SIFT Flow. - Sukryool Kang; Chen-Yu Lee; Monira Goncalves; Andrew D. Chisholm; Pamela C. Cosman (IEEE Trans. Biomed. Eng., 2015)

A cost-effective and real-time QoE evaluation method for multimedia streaming services. - Mingfu Li; Chen-Yu Lee (Telecommun. Syst., 2015)

Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree. - Chen-Yu Lee; Patrick W. Gallagher; Zhuowen Tu (AISTATS, 2016)

Recursive Recurrent Nets with Attention Modeling for OCR in the Wild. - Chen-Yu Lee; Simon Osindero (CVPR, 2016)

Enhanced Convolutional Neural Networks and Their Application to Photo Optical Character Recognition. - Chen-Yu Lee (2016)

RoomNet: End-to-End Room Layout Estimation. - Chen-Yu Lee; Vijay Badrinarayanan; Tomasz Malisiewicz; Andrew Rabinovich (ICCV, 2017)

A Many-Objective Evolutionary Algorithm with Reference Point-Based and Vector Angle-Based Selection. - Chen-Yu Lee; Jia-Fong Yeh; Tsung-Che Chiang (ICGEC, 2017)

Adaptive Multiobjective Differential Evolution Algorithms for Environmental/Economic Dispatch. - Zhong-Yi Lin; Tsung-Che Chiang; Chen-Yu Lee (IIAI-AAI, 2017)

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. - Zhao Chen 006; Vijay Badrinarayanan; Chen-Yu Lee; Andrew Rabinovich (ICML, 2018)

Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree. - Chen-Yu Lee; Patrick W. Gallagher; Zhuowen Tu (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. - Chen-Yu Lee; Tanmay Batra; Mohammad Haris Baig; Daniel Ulbricht (CVPR, 2019)

Learning to Branch for Multi-Task Learning. - Pengsheng Guo; Chen-Yu Lee; Daniel Ulbricht (ICML, 2020)

A Simple Semi-Supervised Learning Framework for Object Detection. - Kihyuk Sohn; Zizhao Zhang; Chun-Liang Li; Han Zhang 010; Chen-Yu Lee; Tomas Pfister (CoRR, 2020)

ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction. - Chen-Yu Lee; Chun-Liang Li; Chu Wang; Renshen Wang; Yasuhisa Fujii; Siyang Qin; Ashok C. Popat; Tomas Pfister (ACL/IJCNLP (2), 2021)

Self-Trained One-class Classification for Unsupervised Anomaly Detection. - Jinsung Yoon; Kihyuk Sohn; Chun-Liang Li; Sercan Ö. Arik; Chen-Yu Lee; Tomas Pfister (CoRR, 2021)

Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. - Kunpeng Li; Zizhao Zhang; Guanhang Wu; Xuehan Xiong; Chen-Yu Lee; Zhichao Lu; Yun Fu 001; Tomas Pfister (AAAI, 2022)

FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. - Chen-Yu Lee; Chun-Liang Li; Timothy Dozat; Vincent Perot; Guolong Su; Nan Hua; Joshua Ainslie; Renshen Wang; Yasuhisa Fujii; Tomas Pfister (ACL (1), 2022)

Learning to Prompt for Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Chen-Yu Lee; Han Zhang 010; Ruoxi Sun 002; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (CVPR, 2022)

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Sayna Ebrahimi; Ruoxi Sun 002; Han Zhang 010; Chen-Yu Lee; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (ECCV (26), 2022)

Towards Group Robustness in the presence of Partial Group Labels. - Vishnu Suresh Lokhande; Kihyuk Sohn; Jinsung Yoon; Madeleine Udell; Chen-Yu Lee; Tomas Pfister (CoRR, 2022)

A Benchmark for Structured Extractions from Complex Documents. - Zilong Wang 002; Yichao Zhou 001; Wei Wei 019; Chen-Yu Lee; Sandeep Tata (CoRR, 2022)

Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection. - Jinsung Yoon; Kihyuk Sohn; Chun-Liang Li; Sercan Ö. Arik; Chen-Yu Lee; Tomas Pfister (Trans. Mach. Learn. Res., 2022)

Neural Spline Search for Quantile Probabilistic Modeling. - Ruoxi Sun 002; Chun-Liang Li; Sercan Ö. Arik; Michael W. Dusenberry; Chen-Yu Lee; Tomas Pfister (AAAI, 2023)

QueryForm: A Simple Zero-shot Form Entity Query Framework. - Zifeng Wang 002; Zizhao Zhang; Jacob Devlin; Chen-Yu Lee; Guolong Su; Hao Zhang; Jennifer G. Dy; Vincent Perot; Tomas Pfister (ACL (Findings), 2023)

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. - Cheng-Yu Hsieh; Chun-Liang Li; Chih-Kuan Yeh; Hootan Nakhost; Yasuhisa Fujii; Alex Ratner; Ranjay Krishna; Chen-Yu Lee; Tomas Pfister (ACL (Findings), 2023)

FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. - 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; et al. (ACL (1), 2023)

Multimodal Prompting with Missing Modalities for Visual Recognition. - Yi-Lun Lee; Yi-Hsuan Tsai; Wei-Chen Chiu; Chen-Yu Lee (CVPR, 2023)

Prefix Conditioning Unifies Language and Label Supervision. - Kuniaki Saito; Kihyuk Sohn; Xiang Zhang; Chun-Liang Li; Chen-Yu Lee; Kate Saenko; Tomas Pfister (CVPR, 2023)

Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. - Kuniaki Saito; Kihyuk Sohn; Xiang Zhang; Chun-Liang Li; Chen-Yu Lee; Kate Saenko; Tomas Pfister (CVPR, 2023)

VRDU: A Benchmark for Visually-rich Document Understanding. - Zilong Wang 002; Yichao Zhou 001; Wei Wei 019; Chen-Yu Lee; Sandeep Tata (KDD, 2023)

Data Efficient Incremental Learning via Attentive Knowledge Replay. - Yi-Lun Lee; Dian-Shan Chen; Chen-Yu Lee; Yi-Hsuan Tsai; Wei-Chen Chiu (SMC, 2023)

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. - Justin Lazarow; Kihyuk Sohn; Chen-Yu Lee; Chun-Liang Li; Zizhao Zhang; Tomas Pfister (WACV, 2023)

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. - Kihyuk Sohn; Jinsung Yoon; Chun-Liang Li; Chen-Yu Lee; Tomas Pfister (WACV, 2023)

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models. - Cheng-Yu Hsieh; Si-An Chen; Chun-Liang Li; Yasuhisa Fujii; Alexander Ratner; Chen-Yu Lee; Ranjay Krishna; Tomas Pfister (CoRR, 2023)

Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. - Cheng-Yu Hsieh; Yung-Sung Chuang; Chun-Liang Li; Zifeng Wang 002; Long T. Le; Abhishek Kumar; James R. Glass; Alexander Ratner; Chen-Yu Lee; Ranjay Krishna; Tomas Pfister (ACL (Findings), 2024)

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. - I-Hung Hsu; Zifeng Wang 002; Long T. Le; Lesly Miculicich; Nanyun Peng 001; Chen-Yu Lee; Tomas Pfister (ACL (Findings), 2024)

LMDX: Language Model-based Document Information Extraction and Localization. - Vincent Perot; Kai Kang; Florian Luisier; Guolong Su; Xiaoyu Sun; Ramya Sree Boppana; Zilong Wang 002; Zifeng Wang 002; Jiaqi Mu; Hao Zhang; Chen-Yu Lee; Nan Hua (ACL (Findings), 2024)

Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval. - Yanfei Chen; Jinsung Yoon; Devendra Singh Sachan; Qingze Wang; Vincent Cohen-Addad; MohammadHossein Bateni; Chen-Yu Lee; Tomas Pfister (EMNLP (Findings), 2024)

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. - Zilong Wang 002; Hao Zhang; Chun-Liang Li; Julian Martin Eisenschlos; Vincent Perot; Zifeng Wang 002; Lesly Miculicich; Yasuhisa Fujii; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2024)

CodecLM: Aligning Language Models with Tailored Synthetic Data. - Zifeng Wang 002; Chun-Liang Li; Vincent Perot; Long T. Le; Jin Miao; Zizhao Zhang; Chen-Yu Lee; Tomas Pfister (NAACL-HLT (Findings), 2024)

TableRAG: Million-Token Table Understanding with Language Models. - Si-An Chen; Lesly Miculicich; Julian Eisenschlos; Zifeng Wang 002; Zilong Wang 002; Yanfei Chen; Yasuhisa Fujii; Hsuan-Tien Lin; Chen-Yu Lee; Tomas Pfister (NeurIPS, 2024)

Unsupervised LLM Adaptation for Question Answering. - Kuniaki Saito; Kihyuk Sohn; Chen-Yu Lee; Yoshitaka Ushiku (CoRR, 2024)

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. - Shangbin Feng; Zifeng Wang 002; Yike Wang 002; Sayna Ebrahimi; Hamid Palangi; Lesly Miculicich; Achin Kulshrestha; Nathalie Rauschmayr; Yejin Choi 001; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2024)

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. - Zhen Tan 001; Jun Yan; I-Hung Hsu; Rujun Han; Zifeng Wang 002; Long T. Le; Yiwen Song; Yanfei Chen; Hamid Palangi; George Lee; Anand Rajan Iyer; Tianlong Chen 001; et al. (ACL (1), 2025)

Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. - Fan Yin; Zifeng Wang 002; I-Hung Hsu; Jun Yan; Ke Jiang; Yanfei Chen; Jindong Gu; Long T. Le; Kai-Wei Chang; Chen-Yu Lee; Hamid Palangi; Tomas Pfister (ACL (1), 2025)

Exemplar Masking for Multimodal Incremental Learning. - Yi-Lun Lee; Chen-Yu Lee; Wei-Chen Chiu; Yi-Hsuan Tsai (CVPR Workshops, 2025)

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. - Zilong Wang 002; Zifeng Wang 002; Long T. Le; Huaixiu Steven Zheng; Swaroop Mishra; Vincent Perot; Yuwei Zhang 001; Anush Mattapalli; Ankur Taly; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)

Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. - Wenda Xu; Rujun Han; Zifeng Wang 002; Long T. Le; Dhruv Madeka; Lei Li 005; William Yang Wang; Rishabh Agarwal; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)

Reverse Thinking Makes LLMs Stronger Reasoners. - Justin Chih-Yao Chen; Zifeng Wang 002; Hamid Palangi; Rujun Han; Sayna Ebrahimi; Long T. Le; Vincent Perot; Swaroop Mishra; Mohit Bansal; Chen-Yu Lee; Tomas Pfister (NAACL (Long Papers), 2025)

Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model. - Kuniaki Saito; Chen-Yu Lee; Kihyuk Sohn; Yoshitaka Ushiku (NAACL (Long Papers), 2025)

When One LLM Drools, Multi-LLM Collaboration Rules. - Shangbin Feng; Wenxuan Ding 001; Alisa Liu; Zifeng Wang 002; Weijia Shi; Yike Wang 002; Zejiang Shen 001; Xiaochuang Han; Hunter Lang; Chen-Yu Lee; Tomas Pfister; Yejin Choi 001; et al. (CoRR, 2025)

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. - Shangbin Feng; Zifeng Wang 002; Palash Goyal; Yike Wang 002; Weijia Shi; Huang Xia; Hamid Palangi; Luke Zettlemoyer; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2025)

Universal Model Routing for Efficient LLM Inference. - Wittawat Jitkrittum; Harikrishna Narasimhan; Ankit Singh Rawat; Jeevesh Juneja; Zifeng Wang; Chen-Yu Lee; Pradeep Shenoy; Rina Panigrahy; Aditya Krishna Menon; Sanjiv Kumar (CoRR, 2025)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. - Mihir Parmar; Xin Liu; Palash Goyal; Yanfei Chen; Long T. Le; Swaroop Mishra; Hossein Mobahi; Jindong Gu; Zifeng Wang 002; Hootan Nakhost; Chitta Baral; Chen-Yu Lee; et al. (CoRR, 2025)

Deep Researcher with Test-Time Diffusion. - Rujun Han; Yanfei Chen; Zoey CuiZhu; Lesly Miculicich; Guan Sun; Yuanjun Bi; Weiming Wen; Hui Wan; Chunfeng Wen; Solène Maître; George Lee; Vishy Tirumalashetty; et al. (CoRR, 2025)

Towards Compute-Optimal Many-Shot In-Context Learning. - Shahriar Golchin; Yanfei Chen; Rujun Han; Manan Gandhi; Tianli Yu; Swaroop Mishra; Mihai Surdeanu; Rishabh Agarwal; Chen-Yu Lee; Tomas Pfister (CoRR, 2025)