All Publications

[Selected Publications] [All Publications] [Google Scholar] [DBLP] [ACM] [Scopus]

International Conferences and Journals

• LaMER: Language-Conditioned Multi-Expert Routing for Weakly Supervised Referring Expression Comprehension
  Yu Yu Chang, Tzu-Hsuan Weng, Youssef Mohamed Amin, Mohaned Ahmed Elsayed, Hung-Hsuan Chen, Min-Te Sun, Sherine Shawky
  arXiv 2026
  
  
• Convergence in Science, Divergence in Religion: Calibrated Framing Differences Across Wikipedia's Language Editions
  Hung-Hsuan Chen
  arXiv 2026
  
  
• Thinking Deeper, Not Longer: Memory-Efficient Test-Time Reasoning with Depth-Recurrent Transformers for Compositional Generalization
  Hung-Hsuan Chen
  arXiv 2026
  
  
• L2GSSL: Label-Efficient Local-to-Global Self-Supervised Learning for Volumetric Healthcare Data
  Po-Cheng Cheng, Hung-Hsuan Chen
  BigData IEEE International Conference on Big Data (Special Session on Healthcare Data) 2026
  
  
• CeRA: Overcoming the Linear Ceiling of Low-Rank Adaptation via Capacity Expansion
  Hung-Hsuan Chen
  CoLM Conference on Language Modeling, 2026
  [code]
  
  
• SCPL: Enhancing Neural Network Training Throughput with Decoupled Local Losses and Model Parallelism
  Ming-Yao Ho, Cheng-Kai Wang, You-Teng Lin, Hung-Hsuan Chen
  TMIS ACM Transactions on Management Information Systems 2026 [ACM] [arXiv]
  [code]
  
  
• GraphFusionSBR: Denoising Multi-Channel Graphs for Session-Based Recommendation
  Jia-Xin He, Hung-Hsuan Chen
  ESWA Expert Systems with Applications, Vol. 309, 2026 [ScienceDirect] [arXiv]
  [code]
  
  
• From Volumes to Slices: Computationally Efficient Contrastive Learning for Sequential Abdominal CT Analysis
  Po-Kai Chiu, Hung-Hsuan Chen
  ISBI International Symposium on Biomedical Imaging, 2026 [arXiv]
  [code]
  
  
• Structure-Preserving Graph Contrastive Learning for Mathematical Information Retrieval
  Chun-Hsi Ku, Hung-Hsuan Chen
  SCOLIA ECIR Workshop on Scholarly Information Access, 2026 [arXiv]
  [code]
  
  
• DeInfoReg: A decoupled learning framework with information regularization for better training throughput
  Zih-Hao Huang, You-Teng Lin, Hung-Hsuan Chen
  Neurocomputing Neurocomputing 651(28), 2025 [ScienceDirect] [arXiv]
  [code]
  
  
• TTSwing: a Dataset for Table Tennis Swing and Racket Kinematics Analysis
  Che-Yu Chou, Zheng-Hao Chen, Yung-Hoh Sheu, Hung-Hsuan Chen, Min-Te Sun, Sheng K. Wu
  Sci. Data Springer Nature Scientific Data, 12(339), 2025 [Springer]
  [code]
  
  
• More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models
  Evan Chen, Run-Jun Zhan, Yan-Bai Lin, Hung-Hsuan Chen
  CIKM The Conference on Information and Knowledge Management, 2025 [arXiv] [ACM]
  [Prompts and outputs]
  
  
• Contrastive ECOC: Learning Output Codes for Adversarial Defense
  Che-Yu Chou, Hung-Hsuan Chen
  CIKM The Conference on Information and Knowledge Management, 2025 [arXiv] [ACM]
  [code]
  
  
• Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies
  Yuan-Chih Yang, Hung-Hsuan Chen
  PAKDD The Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2025 [arXiv] [Springer]
  [code]
  
  
• Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures
  Yung-Peng Hsu, Hung-Hsuan Chen
  PAKDD The Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2025 [arXiv] [Springer]
  [code]
  
  
• From Swing to Insight: An IoT-Based System for Kinematic Analysis and Player Assessment in Table Tennis
  Po-Cheng Cheng, Hung-Hsuan Chen, Chiao-You Lai, Ding-Yan Chen, Min-Te Sun, Yung-Hoh Sheu, Tai-Fen Song, Sheng K. Wu
  AIoT IEEE Annual Congress on Artificial Intelligence of Things, 2025 [IEEE]
  
  
• Predicting Stroke Types in Table Tennis Using Sequence to Sequence Models
  Chao-Wei Cai, Hung-Hsuan Chen
  IACSS 15th International Symposium on Computer Science in Sport, 2025
  
  
• Multivariate Beta Mixture Model: Probabilistic Clustering With Flexible Cluster Shapes
  Yung-Peng Hsu, Hung-Hsuan Chen
  PAKDD The Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2024 [Springer] [arXiv]
  [code]
  
  
• The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval
  Pei-Syuan Wang, Hung-Hsuan Chen
  IRonGraphs International Workshop on Graph-Based Approaches in Information Retrieval (in conjunction with ECIR), 2024 [arXiv] [Springer]
  [code]
  
  
• Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering
  Jo-Chun Chen, Hung-Hsuan Chen
  BigData IEEE International Conference on Big Data, 2023 [IEEE] [arXiv]
  [code]
  
  
• Detecting Inactive Cyberwarriors from Online Forums
  Ruei-Yuan Wang, Hung-Hsuan Chen
  WI-IAT IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, 2023 [IEEE] [arXiv]
  [code]
  
  
• Petrel: Personalized Trend Line Estimation with Limited Labels from One Individual
  Tong-Yi Kuo, Hung-Hsuan Chen
  PAKDD The Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2023 [Springer]
  [code]
  
  
• Detecting Inaccurate Sensors on a Large-Scale Sensor Network Using Centralized and Localized Graph Neural Networks
  Dennis Y. Wu, Tsu-Heng Lin, Xin-Ru Zhang, Chia-Pan Chen, Jia-Hui Chen, Hung-Hsuan Chen
  Sens. J IEEE Sensors Journal 23(15), 2023 [IEEE]
  The Featured Article of the issue
  [code]
  
  
• Associated Learning: a Methodology to Decompose End-to-End Backpropagation on CNN, RNN, and Transformer
  Dennis Y. Wu, Di-Nan Lin, Vincent F. Chen, Hung-Hsuan Chen
  ICLR The Tenth International Conference on Learning Representations, 2022 [ICLR]
  [code]
  
  
• Experience: Analyzing Missing Web Page Visits and Unintentional Web Page Visits from the Client-side Web Logs
  Che-Yun Hsu,Ting-Rui Chen, Hung-Hsuan Chen
  JDIQ ACM Journal of Data and Information Quality 14(2), 2022 [ACM]
  
  
• Learning to Identify Malfunctioning Sensors in a Large-Scale Sensor Network
  Tzu-Heng Lin, Xin-Ru Zhang, Chia-Pan Chen, Jia-Huei Chen, Hung-Hsuan Chen
  Sens. J IEEE Sensors Journal 22(3), 2022 [IEEE]
  
  
• Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation
  Yu-Wei Kao, Hung-Hsuan Chen
  Neural Comput. MIT Neural Computation 33(1), 2021 [MIT] [arXiv]
  [code]
  
  
• Toward Building an Academic Search Engine Understanding the Purposes of the Matched Sentences in an Abstract
  Li-Yuan Hsu, Chia-Hao Kao, I-Sheng Jheng, Hung-Hsuan Chen
  Access. IEEE Access vol. 9, 2021 [IEEE]
  
  
• Selecting Representative Thumbnail Image and Video Clip from a Video via Bullet Screen
  Yun-Ya Huang, Tong-Yi Kuo, Hung-Hsuan Chen
  WWW '20. Companion Proceedings of the Web Conference 2020 [ACM]
  
  
• Accelerating Matrix Factorization by Overparameterization
  Pu Chen, Hung-Hsuan Chen
  DeLTA '20. International Conference on Deep Learning Theory and Applications 2020
  
  
• Taxi Demand Prediction based on LSTM with Residuals and Multi-Head Attention
  Chih-Jung Hsu, Hung-Hsuan Chen
  VEHITS '20. Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems 2020
  
  
• Empirically Testing Deep and Shallow Ranking Models for Click-Through Rate (CTR) prediction
  Yi-Che Yang, Ping-Ching Lai, Hung-Hsuan Chen
  TAAI '20. The 25th International Conference on Technologies and Applications of Artificial Intelligence 2020 [IEEE]
  
  
• Differentiating Regularization Weights – a Simple Mechanism to Alleviate Cold Start in Recommender Systems
  Hung-Hsuan Chen, Pu Chen
  TKDD ACM Transactions on Knowledge Discovery from Data 13(1), 2019 [ACM]
  [code]
  
  
• Co-learning Multiple Browsing Tendencies of a User by Matrix Factorization-based Multitask Learning
  Guo-Jhen Bai, Cheng-You Lien, Hung-Hsuan Chen
  WI '19 IEEE/WIC/ACM International Conference on Web Intelligence 2019 [ACM]
  
  
• Visited Websites May Reveal Users' Demographic Information and Personality
  Cheng-You Lien, Guo-Jhen Bai, Hung-Hsuan Chen
  WI '19 IEEE/WIC/ACM International Conference on Web Intelligence 2019 [ACM]
  
  
• Behavior2Vec: Generating Distributed Representations of Users' Behaviors on Products for Recommender Systems
  Hung-Hsuan Chen
  TKDD ACM Transactions on Knowledge Discovery from Data 12(4), 2018 [ACM]
  [code]
  
  
• Common Pitfalls in Training and Evaluating Recommender Systems
  Hung-Hsuan Chen, Chu-An Chung, Hsin-Chien Huang, Wen Tsui
  SIGKDD Explor ACM SIGKDD Explorations Newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining 19(1), 2017 [ACM] [KDD]
  
  
• Compiling Keyphrase Candidates for Scientific Literature Based on Wikipedia
  Hung-Hsuan Chen, Jian Wu, C. Lee Giles
  TPDL Metadata Quality Workshop, 2017
  
  
• ASCOS++: an Asymmetric Similarity Measure for Weighted Networks to Address the Problem of SimRank
  Hung-Hsuan Chen, C. Lee Giles
  TKDD '15 ACM Transactions on Knowledge Discovery from Data 10(2), 2015 [ACM]
  
  
• CiteSeerX: AI in a Digital Library Search Engine
  Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Suppawong Tuarob, Alexander G Ororbia, Douglas Jordan, Prasenjit Mitra, C. Lee Giles
  AI Mag. '15 AAAI AI Magazine 36(3) 35-48, 2015 [AAAI]
  
  
• The feasibility of investing of manual correction of metadata for a large-scale digital library
  Hung-Hsuan Chen, Madian Khabsa, C. Lee Giles
  JCDL '14 IEEE/ACM Joint Conference on Digital Libraries, 2014 [ACM]
  
  
• Towards building a scholarly big data platform: challenges, lessons and opportunities
  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
  JCDL '14 IEEE/ACM Joint Conference on Digital Libraries, 2014 [ACM]
  
  
• Classifying and ranking search engine results as potential sources of plagiarism
  Kyle Williams, Hung-Hsuan Chen, C. Lee Giles
  DocEng '14 ACM Symposium on Document Engineering, 2014 [ACM]
  
  
• Supervised Ranking for Plagiarism Source Retrieval
  Kyle Williams, Hung-Hsuan Chen, C. Lee Giles
  CLEF '14 International Conference and Labs of the Evaluation Forum, 2014 [CLEF]
  
  
• CiteSeerX: AI in a digital library search engine
  Jian Wu, Kyle Williams, Hung-Hsuan Chen, Madian Khabsa, Douglas Jordan, C. Lee Giles
  IAAI '14 Twenty Sixth Annual Conference on Innovative Applications of Artificial Intelligence, 2014 [AAAI]
  

  Best AI application award
  
  
• CiteSeerX: a scholarly big dataset
  Cornelia Caragea, Jian Wu, Alina Ciobanu, Kyle Williams, Juan Fernandez-Ramirez, Hung-Hsuan Chen, Zhaohui Wu, C. Lee Giles
  ECIR '14 Advances in Information Retrieval - 36th European Conference on IR Research, 2014 [Springer]
  
  
• ASCOS: an Asymmetric network Structure COntext Similarity measure
  Hung-Hsuan Chen, C. Lee Giles
  ASONAM '13 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013 [ACM]
  
  
• Unsupervised ranking for plagiarism source retrieval
  Kyle Williams, Hung-Hsuan Chen, Sagnik Ray Choudhury, C. Lee Giles
  CLEF '13 International Conference and Labs of the Evaluation Forum, 2013 [CiteSeerX]
  
  
• The predictive value of young and old links in a social network
  Hung-Hsuan Chen, David J. Miller, C. Lee Giles
  DBSocial '13 Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks, 2013 [ACM] [CiteSeerX]
  
  
• CSSeer: an expert recommendation system based on CiteSeerX
  Hung-Hsuan Chen, Pucktada Treeratpituk, Prasenjit Mitra, C. Lee Giles
  JCDL '13 Proceedings of the 13th Annual International ACM/IEEE Joint Conference on Digital Libraries, 2013 (poster) [ACM] [CiteSeerX]
  
  
• Towards the discovery of diseases related by genes using vertex similarity measures
  Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles
  ICHI '13 IEEE International Conference on Healthcare Informatics, 2013
  
  
• Specialized research datasets in the CiteSeerX digital library
  Sumit Bhatia, Cornelia Caragea, Hung-Hsuan Chen, Jian Wu, Pucktada Treeratpituk, Zhaohui Wu, Madian Khabsa, Prasenjit Mitra, C. Lee Giles
  D-Lib '12 The Magazine of Digital Library Research, July/August 2012
  
  
• Information propagation game: a tool to acquire humanplaying data for multiplayer influence maximization on social networks
  Hung-Hsuan Chen, Yan-Bin Ciou, Shou-De Lin
  KDD '12 Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012 (system demo) [ACM] [CiteSeerX]
  
  
• Predicting recent links in FOAF networks
  Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, C. Lee Giles
  SBP '12 International Conference on Social Computing, Behavior - Cultural Modeling, and Prediction, 2012 [Springer] [CiteSeerX]
  
  
• Discovering missing links in networks using vertex similarity measures
  Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles
  SAC '12 Proceedings of the 27th Annual ACM Symposium on Applied Computing, 2012 [ACM] [CiteSeerX]
  
  
• Specialized Research Datasets in the CiteSeerx Digital Library
  Sumit Bhatia, Cornelia Caragea, Hung-Hsuan Chen, Jian Wu, Pucktada Treeratpituk, Zhaohui Wu, Madian Khabsa, Prasenjit Mitra, and C. Lee Giles
  JCDL WS '12 The 1st International Workshop on Mining Scientific Publications, 2012
  
  
• Capturing missing edges in social networks using vertex similarity
  Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, C. Lee Giles
  K-CAP '11 Proceedings of the Sixth International Conference on Knowledge Capture, 2011 [ACM] [CiteSeerX]
  
  
• CollabSeer: a search engine for collaboration discovery
  Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, C. Lee Giles
  JCDL '11 Proceedings of the 11th Annual International ACM/IEEE Joint Conference on Digital Libraries, 2011 [ACM] [CiteSeerX]
  
  
• Social network document ranking
  Liang Gou, Xiaolong (Luke) Zhang, Hung-Hsuan Chen, Jung-Hyun Kim, C. Lee Giles
  JCDL '10 Proceedings of the 10th Annual International ACM/IEEE Joint Conference on Digital Libraries, 2010 [ACM] [CiteSeerX]
  
  
• SNDocRank: document ranking based on social networks
  Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolong (Luke) Zhang, C. Lee Giles
  WWW '10 Proceedings of the 19th International Conference on World Wide Web, 2010 (poster) [ACM] [CiteSeerX]
  
  
• SNDocRank: a social network-based video search ranking framework
  Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolong (Luke) Zhang, C. Lee Giles
  MIR '10 Proceedings of the International Conference on Multimedia Information Retrieval, 2010 [ACM] [CiteSeerX]
  
  
• MobiSNA: a mobile video social network application
  Liang Gou, Jung-Hyun Kim, Hung-Hsuan Chen, Jason Collins, Marc Goodman, Xiaolong (Luke) Zhang, C. Lee Giles
  MobiDE '09 Proceedings of the Eighth ACM International Workshop on Data Engineering for Wireless and Mobile Access, 2009 [ACM] [CiteSeerX]
  
  
• A user-centric framework for comparing applications' network robustness
  Hung-Hsuan Chen, Chen-Chun Tu, Kuan-Ta Chen
  SIGCOMM '08 Proceedings of the ACM SIGCOMM 2008 Conference on Data Communication (poster), 2008 [SIGCOMM] [CiteSeerX]
  
  
• An application-level multicast framework for large scale VOD services
  Chen-Lung Chan, Shih-Yu Huang, Hung-Hsuan Chen, Wei-Hao Tung, Jia-Shung Wang
  ICPADS '05 11th IEEE International Conference on Parallel and Distributed Systems 2005
  
  

Domestic Conferences

• 基於圖神經網路的數學式檢索：符號/變數變換的圖增強技術探索
  顧竣熙, 陳弘軒
  TAAI '24 The 29th International Conference on Technologies and Applications of Artificial Intelligence, 2024
  
  
• RotInv-ConvNet:一種抗旋轉的卷積類神經網路
  楊佳誠, 陳弘軒
  TAAI '22 The 27th International Conference on Technologies and Applications of Artificial Intelligence, 2022
  
  
• 從常見問答集自動產生客服問答機器人
  歐亭昀, 周冠玲, 陳弘軒
  TAAI '21 The 26th International Conference on Technologies and Applications of Artificial Intelligence, 2021
  
  
• 跨語系之學術搜尋引擎的開發及挑戰
  李竺芸, 林冠佑, 陳弘軒, 張嘉惠
  TAAI '20 The 25th International Conference on Technologies and Applications of Artificial Intelligence, 2020
  
  
• 腸病毒預報：應用機器學習預測腸病毒疫情
  蔡均宜, 史家瑩, 陳弘軒
  TAAI '20 The 25th International Conference on Technologies and Applications of Artificial Intelligence, 2020
  
  
• 以影片彈幕為基礎的自動化關鍵片段及關鍵影格擷取
  黃筠雅, 郭同益, 陳弘軒
  TAAI '19 The 24th International Conference on Technologies and Applications of Artificial Intelligence, 2019
  
  
• 多層式短中長期記憶模型之即時計程車需求預測
  徐志榮, 陳弘軒
  TAAI '18 The 23th International Conference on Technologies and Applications of Artificial Intelligence, 2018 [TAAI]

  Second place of the Taiwan taxi (台灣大車隊) demand challenge
  
  
• 動態多模型融合分析研究
  蘇俊儒, 陳弘軒
  TANET'18 Taiwan Academic Network Conference 2018 [TANET]

  Best paper award
  
  
• 使用者長時段跨網站瀏覽資料集之蒐集與分析
  陳廷睿, 連丞宥, 白國臻, 陳弘軒
  TANET'18 Taiwan Academic Network Conference 2018 [TANET]
  
  
• Predicting User's Online Shopping Tendency During Shopping Holidays
  Cheng-You Lien, Guo-Jhen Bai, Ting-Rui Chen, Hung-Hsuan Chen
  TAAI '17 The 22nd International Conference on Technologies and Applications of Artificial Intelligence, 2017