Exploring Regression for Mining User Moving Patterns in a Mobile Computing System. - Chih-Chieh Hung; Wen-Chih Peng; Jiun-Long Huang (HPCC, 2005)

A Storage Management for Mining Object Moving Patterns in Object Tracking Sensor Networks. - Chih-Chieh Hung; Wen-Chih Peng (IAT Workshops, 2006)

Using sensorranks for in-network detection of faulty readings in wireless sensor networks. - Xiang-Yan Xiao; Wen-Chih Peng; Chih-Chieh Hung; Wang-Chien Lee (MobiDE, 2007)

Clustering object moving patterns for prediction-based object tracking sensor networks. - Chih-Chieh Hung; Wen-Chih Peng (CIKM, 2009)

Mining trajectory profiles for discovering user communities. - Chih-Chieh Hung; Chih-Wen Chang; Wen-Chih Peng (GIS-LBSN, 2009)

Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems. - Lu-An Tang; Xiao Yu 007; Sangkyum Kim; Jiawei Han 001; Chih-Chieh Hung; Wen-Chih Peng (ICDM, 2010)

Model-Driven Traffic Data Acquisition in Vehicular Sensor Networks. - Chih-Chieh Hung; Wen-Chih Peng (ICPP, 2010)

A regression-based approach for mining user movement patterns from random sample data. - Chih-Chieh Hung; Wen-Chih Peng (Data Knowl. Eng., 2011)

Optimizing in-network aggregate queries in wireless sensor networks for energy saving. - Chih-Chieh Hung; Wen-Chih Peng (Data Knowl. Eng., 2011)

On Discovery of Traveling Companions from Streaming Trajectories. - Lu-An Tang; Yu Zheng 004; Jing Yuan 007; Jiawei Han 001; Alice Leung; Chih-Chieh Hung; Wen-Chih Peng (ICDE, 2012)

Energy-Aware Set-Covering Approaches for Approximate Data Collection in Wireless Sensor Networks. - Chih-Chieh Hung; Wen-Chih Peng; Wang-Chien Lee (IEEE Trans. Knowl. Data Eng., 2012)

BRF: A Framework of Retrieving Brand Names of Products in Auction Sites. - Ivy Hong-Ieng Hoi; Mars Liwen Liao; Chih-Chieh Hung; Evans Tseng (EC-Web, 2013)

Exploring Sequential Probability Tree for Movement-Based Community Discovery. - Wen-Yuan Zhu; Wen-Chih Peng; Chih-Chieh Hung; Po-Ruey Lei; Ling-Jyh Chen (IEEE Trans. Knowl. Data Eng., 2014)

The 2nd workshop on Vertical Search Relevance at WSDM 2015. - Dawei Yin; Chih-Chieh Hung; Rui Li 049; Yi Chang 001 (WSDM, 2015)

Clustering and aggregating clues of trajectories for mining trajectory patterns and routes. - Chih-Chieh Hung; Wen-Chih Peng; Wang-Chien Lee (VLDB J., 2015)

A velocity-preserving trajectory simplification approach. - Chih-Yu Lin; Chih-Chieh Hung; Po-Ruey Lei (TAAI, 2016)

Identifying Niche Singers in Online Music Streaming Services. - Chih-Chieh Hung; Chun-Yu Kuo; Hui-Huang Hsu; Yian Chen (DASC/PiCom/DataCom/CyberSciTech, 2018)

TripDecoder: Inferring Routes of Passengers of Mass Rapid Transit Systems by Smart Card Transaction Data. - Yazhe Wang; Chih-Chieh Hung; Baihua Zheng; Ee-Peng Lim (ICDM Workshops, 2018)

Deep Candlestick Predictor: A Framework toward Forecasting the Price Movement from Candlestick Charts. - Siou-Jhih Guo; Fu-Chun Hsu; Chih-Chieh Hung (PAAP, 2018)

Fusion of Modern and Tradition: A Multi-stage-Based Deep Network Approach for Head Detection. - Fu-Chun Hsu; Chih-Chieh Hung (PAKDD (1), 2018)

PTGF: Public Transport General Framework for Identifying Transport Modes Based on Cellular Data. - Xiaochuan Gou; Chih-Chieh Hung; Guanyao Li; Wen-Chih Peng (MDM, 2019)

Predicting the price movement from candlestick charts: a CNN-based approach. - Chih-Chieh Hung; Ying-Ju Chen; Siou-Jhih Guo; Fu-Chun Hsu (Int. J. Ad Hoc Ubiquitous Comput., 2020)

Surgical Wounds Assessment System for Self-Care. - Yung-Wei Chen; Jui-Tse Hsu; Chih-Chieh Hung; Jin-Ming Wu; Feipei Lai; Sy-Yen Kuo (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Deep Ensemble Learning Model for Long-Term Travel Time Prediction on Highways. - Ming-Chu Ho; Yu-Cing Chen; Chih-Chieh Hung; Hsien-Chu Wu (AIKE, 2021)

Spatial-Temporal Similarity for Trajectories with Location Noise and Sporadic Sampling. - Guanyao Li; Chih-Chieh Hung; Mengyun Liu; Linfei Pan; Wen-Chih Peng; S.-H. Gary Chan (ICDE, 2021)

A Hybrid Deep Learning Network for Long-Term Travel Time Prediction in Freeways. - Ming-Chu Ho; Yu-Cing Chen; Chih-Chieh Hung; Hsien-Chu Wu (TAAI, 2021)

On Aggregating Salaries of Occupations From Job Post and Review Data. - Chih-Chieh Hung; Ee-Peng Lim (IEEE Access, 2021)

Modeling crowd emotion from emergent event video. - Lin Zhuo; Zhen Liu 002; Tingting Liu 002; Chih-Chieh Hung; Yanjie Chai (Comput. Animat. Virtual Worlds, 2021)

TRIPDECODER: Study Travel Time Attributes and Route Preferences of Metro Systems from Smart Card Data. - Xiancai Tian; Baihua Zheng; Yazhe Wang; Hsiao-Ting Huang; Chih-Chieh Hung (Trans. Data Sci., 2021)

A Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike Prediction. - Guanyao Li; Xiaofeng Wang; Gunarto Sindoro Njoo; Shuhan Zhong; S.-H. Gary Chan; Chih-Chieh Hung; Wen-Chih Peng (ICDE, 2022)

Exploring Graph Neural Network in Administrative Medical Dataset. - Wei-Chen Liu; Chih-Chieh Hung; Wen-Chih Peng (TAAI, 2022)

Template-Based Headline Generator for Multiple Documents. - Yun-Chien Tseng; Mu-Hua Yang; Yao-Chung Fan; Wen-Chih Peng; Chih-Chieh Hung (IEEE Access, 2022)

A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting. - Guanyao Li; Shuhan Zhong; Letian Xiang; S.-H. Gary Chan; Ruiyuan Li; Chih-Chieh Hung; Wen-Chih Peng (CoRR, 2022)

Implicit sentiment analysis based on multi-feature neural network model. - Yin Zhuang; Zhen Liu 002; Tingting Liu 002; Chih-Chieh Hung; Yan-Jie Chai (Soft Comput., 2022)

Facial expression GAN for voice-driven face generation. - Zheng Fang; Zhen Liu 002; Tingting Liu 002; Chih-Chieh Hung; Jiangjian Xiao; Guangjin Feng (Vis. Comput., 2022)

Air Pollution Source Tracing Framework: Leveraging Microsensors and Wind Analysis for Pollution Source Identification. - Chih-Chieh Hung; Hong-En Hsiao; Chuang-Chieh Lin; Hui-Huang Hsu (TAAI (2), 2023)

A Novel Method of Fuzzy Topic Modeling based on Transformer Processing. - Ching-Hsun Tseng; Shin-Jye Lee; Po-Wei Cheng; Chien Lee; Chih-Chieh Hung (CoRR, 2023)

Learning coordinated emotion representation between voice and face. - Zheng Fang; Zhen Liu 002; Chih-Chieh Hung; Yoones A. Sekhavat; Tingting Liu 002; Xun Wang (Appl. Intell., 2023)

Group Formation by Group Joining and Opinion Updates Via Multi-Agent Online Gradient Ascent [AI-eXplained]. - Chuang-Chieh Lin; Chih-Chieh Hung; Chi-Jen Lu; Po-An Chen (IEEE Comput. Intell. Mag., 2023)

A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting. - Guanyao Li; Shuhan Zhong; Xingdong Deng; Letian Xiang; S.-H. Gary Chan; Ruiyuan Li; Yang Liu 278; Ming Zhang; Chih-Chieh Hung; Wen-Chih Peng (IEEE Trans. Knowl. Data Eng., 2023)

CECM: A cognitive emotional contagion model in social networks. - Chih-Chieh Hung; Xiaoyuan Gao; Zhen Liu 002; Yumei Chai; Tingting Liu 002; Cuijuan Liu (Multim. Tools Appl., 2024)

On the Identifiability of Artificial Financial Time Series. - Bo-Hsin Lin; Chuang-Chieh Lin; Chih-Chieh Hung; Chien-Chang Chen; Yu-Hsin Chen (J. Inf. Sci. Eng., 2024)

Predicting the Next Diseases Using Graph Neural Networks on Administrative Medical Datasets. - Yun-Chien Tseng; Wei-Chen Liu; Wen-Chih Peng; Chih-Chieh Hung (J. Inf. Sci. Eng., 2024)

Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors. - Chuan-Wei Kuo; Bo-Yu Chen; Wen-Chih Peng; Chih-Chieh Hung; Hsin-Ning Su (ACM Trans. Knowl. Discov. Data, 2024)

al-BERT: a semi-supervised denoising technique for disease prediction. - Yun-Chien Tseng; Chuan-Wei Kuo; Wen-Chih Peng; Chih-Chieh Hung (BMC Medical Informatics Decis. Mak., 2024)

Fine-Grained Emotion Comprehension: Semisupervised Multimodal Emotion and Intensity Recognition. - Zheng Fang; Zhen Liu 002; Tingting Liu 002; Chih-Chieh Hung (IEEE Trans. Comput. Soc. Syst., 2025)