Hung-Hsuan Chen

76 papers A* 4A 3B 6C 1Misc 1Journal 32Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Volumes to Slices: Computationally Efficient Contrastive Learning for Sequential Abdominal CT Analysis.
CoRR
Po-Kai Chiu, Hung-Hsuan Chen
2026 J jnl
GraphFusionSBR: Denoising Multi-Channel Graphs for Session-Based Recommendation.
CoRR
Jia-Xin He, Hung-Hsuan Chen
2026 J jnl
GraphFusionSBR: Denoising multi-channel graphs for session-based recommendation.
Expert Syst. Appl.
Jia-Xin He, Hung-Hsuan Chen
2026 J jnl
NoRA: Breaking the Linear Ceiling of Low-Rank Adaptation via Manifold Expansion.
CoRR
Hung-Hsuan Chen
2026 J jnl
SCPL: Enhancing Neural Network Training Throughput with Decoupled Local Losses and Model Parallelism.
CoRR
Ming-Yao Ho, Cheng-Kai Wang, You-Teng Lin, Hung-Hsuan Chen
2026 — conf
Structure-Preserving Graph Contrastive Learning for Mathematical Information Retrieval.
SCOLIA
Chun-Hsi Ku, Hung-Hsuan Chen
2026 J jnl
Structure-Preserving Graph Contrastive Learning for Mathematical Information Retrieval.
CoRR
Chun-Hsi Ku, Hung-Hsuan Chen
2026 J jnl
Thinking Deeper, Not Longer: Depth-Recurrent Transformers for Compositional Generalization.
CoRR
Hung-Hsuan Chen
2025 A conf
Contrastive ECOC: Learning Output Codes for Adversarial Defense.
CIKM
Che-Yu Chou, Hung-Hsuan Chen
2025 J jnl
Contrastive ECOC: Learning Output Codes for Adversarial Defense.
CoRR
Che-Yu Chou, Hung-Hsuan Chen
2025 J jnl
DeInfoReg: A Decoupled Learning Framework for Better Training Throughput.
CoRR
Zih-Hao Huang, You-Teng Lin, Hung-Hsuan Chen
2025 J jnl
DeInfoReg: A decoupled learning framework with information regularization for better training throughput.
Neurocomputing
Zih-Hao Huang, You-Teng Lin, Hung-Hsuan Chen
2025 — conf
Dynamic DropConnect: Enhancing Neural Network Robustness Through Adaptive Edge Dropping Strategies.
PAKDD (6)
Yuan-Chih Yang, Hung-Hsuan Chen
2025 J jnl
Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies.
CoRR
Yuan-Chih Yang, Hung-Hsuan Chen
2025 — conf
Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures.
PAKDD (1)
Yung-Peng Hsu, Hung-Hsuan Chen
2025 J jnl
Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures.
CoRR
Yung-Peng Hsu, Hung-Hsuan Chen
2025 J jnl
From Structured Prompts to Open Narratives: Measuring Gender Bias in LLMs Through Open-Ended Storytelling.
CoRR
Evan Chen, Run-Jun Zhan, Yan-Bai Lin, Hung-Hsuan Chen
2025 A conf
More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models.
CIKM
Evan Chen, Run-Jun Zhan, Yan-Bai Lin, Hung-Hsuan Chen
2024 J jnl
Multivariate Beta Mixture Model: Probabilistic Clustering With Flexible Cluster Shapes.
CoRR
Yung-Peng Hsu, Hung-Hsuan Chen
2024 — conf
Multivariate Beta Mixture Model: Probabilistic Clustering with Flexible Cluster Shapes.
PAKDD (1)
Yung-Peng Hsu, Hung-Hsuan Chen
2024 — conf
The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval.
IRonGraphs
Pei-Syuan Wang, Hung-Hsuan Chen
2024 J jnl
The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval.
CoRR
Pei-Syuan Wang, Hung-Hsuan Chen
2024 J jnl
Understanding Gradient Boosting Classifier: Training, Prediction, and the Role of γ
CoRR
Hung-Hsuan Chen
2023 — conf
Detecting Inactive Cyberwarriors from Online Forums.
WI/IAT
Ruei-Yuan Wang, Hung-Hsuan Chen
2023 J jnl
Detecting Inactive Cyberwarriors from Online Forums.
CoRR
Ruei-Yuan Wang, Hung-Hsuan Chen
2023 — conf
FOODwell.
CHI Extended Abstracts
An-Ting Hsieh, Chih-Ching Hsiao, Hsin-Hua Tsai, Hung-Hsuan Chen, Jui-Chun Liu
2023 — conf
Petrel: Personalized Trend Line Estimation with Limited Labels from One Individual.
PAKDD (4)
Tong-Yi Kuo, Hung-Hsuan Chen
2023 J jnl
TTSWING: a Dataset for Table Tennis Swing Analysis.
CoRR
Che-Yu Chou, Zheng-Hao Chen, Yung-Hoh Sheu, Hung-Hsuan Chen, Sheng K. Wu
2023 B conf
Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering.
IEEE Big Data
Jo-Chun Chen, Hung-Hsuan Chen
2023 J jnl
Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering.
CoRR
Jo-Chun Chen, Hung-Hsuan Chen
2022 A* conf
Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer.
ICLR
Dennis Y. H. Wu, Dinan Lin, Vincent Chen, Hung-Hsuan Chen
2022 J jnl
Experience: Analyzing Missing Web Page Visits and Unintentional Web Page Visits from the Client-side Web Logs.
ACM J. Data Inf. Qual.
Che-Yun Hsu, Ting-Rui Chen, Hung-Hsuan Chen
2021 J jnl
Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation.
Neural Comput.
Yu-Wei Kao, Hung-Hsuan Chen
2021 J jnl
Toward Building an Academic Search Engine Understanding the Purposes of the Matched Sentences in an Abstract.
IEEE Access
Li-Yuan Hsu, Chia-Hao Kao, I-Sheng Jheng, Hung-Hsuan Chen
2020 — conf
Accelerating Matrix Factorization by Overparameterization.
DeLTA
Pu Chen, Hung-Hsuan Chen
2020 — conf
Empirically Testing Deep and Shallow Ranking Models for Click-Through Rate (CTR) prediction.
TAAI
Yi-Che Yang, Ping-Ching Lai, Hung-Hsuan Chen
2020 — conf
Selecting Representative Thumbnail Image and Video Clip from a Video via Bullet Screen.
WWW (Companion Volume)
Yun-Ya Huang, Tong-Yi Kuo, Hung-Hsuan Chen
2020 C conf
Taxi Demand Prediction based on LSTM with Residuals and Multi-head Attention.
VEHITS
Chih-Jung Hsu, Hung-Hsuan Chen
2019 J jnl
Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation.
CoRR
Yu-Wei Kao, Hung-Hsuan Chen
2019 B conf
Co-learning Multiple Browsing Tendencies of a User by Matrix Factorization-based Multitask Learning.
WI
Guo-Jhen Bai, Cheng-You Lien, Hung-Hsuan Chen
2019 J jnl
Differentiating Regularization Weights - A Simple Mechanism to Alleviate Cold Start in Recommender Systems.
ACM Trans. Knowl. Discov. Data
Hung-Hsuan Chen, Pu Chen
2019 B conf
Visited Websites May Reveal Users' Demographic Information and Personality.
WI
Cheng-You Lien, Guo-Jhen Bai, Hung-Hsuan Chen
2018 J jnl
Behavior2Vec: Generating Distributed Representations of Users' Behaviors on Products for Recommender Systems.
ACM Trans. Knowl. Discov. Data
Hung-Hsuan Chen
2018 J jnl
Wireless Stimulus-on-Device Design for Novel P300 Hybrid Brain-Computer Interface Applications.
Comput. Intell. Neurosci.
Chung-Hsien Kuo, Hung-Hsuan Chen, Hung-Chyun Chou, Ping-Nan Chen, Yu-Cheng Kuo
2017 — conf
A RPL-based self-organization mechanism for wireless sensor networks.
ISCE
Yue-Ru Chuang, Ta-Wei Wang, Chun-Wei Chuang, Hung-Hsuan Chen
2017 J jnl
Common Pitfalls in Training and Evaluating Recommender Systems.
SIGKDD Explor.
Hung-Hsuan Chen, Chu-An Chung, Hsin-Chien Huang, Wen Tsui
2017 — conf
Compiling Keyphrase Candidates for Scientific Literature Based on Wikipedia.
TDDL/MDQual/Futurity@TPDL
Hung-Hsuan Chen, Jian Wu, C. Lee Giles
2017 — conf
Constructing wireless sensor network interconnection system with three-dimensional self-organization mechanism.
ISCE
Yue-Ru Chuang, Chun-Wei Chuang, Ta-Wei Wang, Hung-Hsuan Chen
2017 — conf
Performance study and analysis of D-SWAP for mobile communication networks.
ISCE
Yue-Ru Chuang, Hung-Hsuan Chen, Ta-Wei Wang, Chun-Wei Chuang
2017 J jnl
Weighted-SVD: Matrix Factorization with Weights on the Latent Factors.
CoRR
Hung-Hsuan Chen
2015 J jnl
ASCOS++: An Asymmetric Similarity Measure for Weighted Networks to Address the Problem of SimRank.
ACM Trans. Knowl. Discov. Data
Hung-Hsuan Chen, C. Lee Giles
2015 J jnl
CiteSeerX: AI in a Digital Library Search Engine.
AI Mag.
Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Suppawong Tuarob, Alexander Ororbia, Douglas Jordan, Prasenjit Mitra, C. Lee Giles
2015 J jnl
ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries.
CoRR
Hung-Hsuan Chen, Alexander G. Ororbia II, C. Lee Giles
2014 A conf
CiteSeer x : A Scholarly Big Dataset.
ECIR
Cornelia Caragea, Jian Wu, Alina Maria Ciobanu, Kyle Williams, Juan Pablo Fernández Ramírez, Hung-Hsuan Chen, Zhaohui Wu, C. Lee Giles
2014 A* conf
CiteSeerX: AI in a Digital Library Search Engine.
AAAI
Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles
2014 B conf
Classifying and ranking search engine results as potential sources of plagiarism.
ACM Symposium on Document Engineering
Kyle Williams, Hung-Hsuan Chen, C. Lee Giles
2014 — conf
Supervised Ranking for Plagiarism Source Retrieval.
CLEF (Working Notes)
Kyle Williams, Hung-Hsuan Chen, C. Lee Giles
2014 — conf
The feasibility of investing in manual correction of metadata for a large-scale digital library.
JCDL
Hung-Hsuan Chen, Madian Khabsa, C. Lee Giles
2014 — conf
Towards building a scholarly big data platform: Challenges, lessons and opportunities.
JCDL
Zhaohui Wu, Jian Wu, Madian Khabsa, Kyle Williams, Hung-Hsuan Chen, Wenyi Huang, Suppawong Tuarob, Sagnik Ray Choudhury, Alexander Ororbia, Prasenjit Mitra, C. Lee Giles
2013 B conf
ASCOS: an asymmetric network structure COntext similarity measure.
ASONAM
Hung-Hsuan Chen, C. Lee Giles
2013 — conf
CSSeer: an expert recommendation system based on CiteseerX.
JCDL
Hung-Hsuan Chen, Pucktada Treeratpituk, Prasenjit Mitra, C. Lee Giles
2013 — conf
The predictive value of young and old links in a social network.
DBSocial
Hung-Hsuan Chen, David J. Miller, C. Lee Giles
2013 — conf
Towards the Discovery of Diseases Related by Genes Using Vertex Similarity Measures.
ICHI
Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles
2013 — conf
Unsupervised Ranking for Plagiarism Source Retrieval Notebook for PAN at CLEF 2013.
CLEF (Working Notes)
Kyle Williams, Hung-Hsuan Chen, Sagnik Ray Choudhury, C. Lee Giles
2012 Misc conf
Discovering missing links in networks using vertex similarity measures.
SAC
Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles
2012 A* conf
Information propagation game: a tool to acquire humanplaying data for multiplayer influence maximization on social networks.
KDD
Hung-Hsuan Chen, Yan-Bin Ciou, Shou-De Lin
2012 — conf
Predicting Recent Links in FOAF Networks.
SBP
Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles
2012 J jnl
Specialized Research Datasets in the CiteSeer
D Lib Mag.
Sumit Bhatia, Cornelia Caragea, Hung-Hsuan Chen, Jian Wu, Pucktada Treeratpituk, Zhaohui Wu, Madian Khabsa, Prasenjit Mitra, C. Lee Giles
2011 B conf
Capturing missing edges in social networks using vertex similarity.
K-CAP
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde Lee Giles
2011 — conf
CollabSeer: a search engine for collaboration discovery.
JCDL
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde Lee Giles
2011 — conf
Development of a multi-target tracking system for paramecia.
BMEI
Ke-Nung Huang, Hung-Hsuan Chen, Yu-Sing Yeh
2010 — conf
SNDocRank: a social network-based video search ranking framework.
Multimedia Information Retrieval
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolong Zhang, C. Lee Giles
2010 A* conf
SNDocRank: document ranking based on social networks.
WWW
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolong Zhang, C. Lee Giles
2010 — conf
Social network document ranking.
JCDL
Liang Gou, Xiaolong Zhang, Hung-Hsuan Chen, Jung-Hyun Kim, C. Lee Giles
2009 — conf
MobiSNA: a mobile video social network application.
MobiDE
Liang Gou, Jung-Hyun Kim, Hung-Hsuan Chen, Jason Collins, Marc Goodman, Xiaolong Zhang, C. Lee Giles
2005 — conf
An Application-Level Multicast Framework for Large Scale VOD Services.
ICPADS (1)
Chen-Lung Chan, Shih-Yu Huang, Hung-Hsuan Chen, Wei-Hao Tung, Jia-Shung Wang