Ming-Ching Chang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
87
Venues
24
Active years
1998–2026
Best venue rank
A*
Where they publish
- A*CVPR16 papers
- BAVSS11 papers
- BICIP11 papers
- A*AAAI8 papers
- AWACV5 papers
- A*ECCV5 papers
- MulticonferenceICASSP5 papers
- ABMVC5 papers
- A*ICCV4 papers
- BICPR2 papers
- CUIC2 papers
- BAIME1 paper
- A*IJCAI1 paper
- CISCAS1 paper
- CISM1 paper
- AMICCAI1 paper
- AICCAD1 paper
- AECAI1 paper
- AESORICS1 paper
- BACCV1 paper
- NationalFlAIRS1 paper
- AIROS1 paper
- UnrankedSENSYS1 paper
- NationalMVA1 paper
Papers
87 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions. | Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen |
| 2026 | AIME | PreClaim-GCT: Self-supervised Graph-Transformer Pretraining for Incident Outcome Prediction from Healthcare Claims. | Rui Wang, Ming-Ching Chang, Emily Leckman-Westin |
| 2026 | ICPR | LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval. | Weiheng Lu, Jian Li, An Yu, Ming-Ching Chang |
| 2026 | WACV | PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection. | Po-Han Huang, Jeng-Lin Li, Po-Hsuan Huang, Ming-Ching Chang, Wei-Chao Chen |
| 2025 | AAAI | Training-Free Image Manipulation Localization Using Diffusion Models. | Zhenfei Zhang, Ming-Ching Chang, Xin Li |
| 2025 | AAAI | E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS. | Ziyang Zhang, Yang Zhao, Ming-Ching Chang, Changyao Lin, Jie Liu |
| 2025 | AVSS | Latent Orthogonal Perturbation: A Data Poisoning Approach to Prevent Unauthorized LoRA Fine-Tuning. | Hong Bin Tan, Ching-Yun Fu, Ming-Ching Chang, Wei-Chao Chen |
| 2025 | AVSS | Enhancing LLM Question Answering with RAG through Dense Vector Search and Re-Ranking. | Te-Lun Yang, Jyi-Shane Liu, Yuen-Hsien Tseng, Jyh-Shing Roger Jang, Ming-Ching Chang, Wei-Chao Chen |
| 2025 | ICCV | LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation. | Jyun-Ze Tang, Chih-Fan Hsu, Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen |
| 2025 | ICCV | The 9th AI City Challenge. | Zheng Tang, Shuo Wang, David C. Anastasiu, Ming-Ching Chang, Anuj Sharma, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Ganzorig Batnasan, Munkh-Erdene Otgonbold, Fady Alnajjar, Jun-Wei Hsieh, Tomasz Kornuta, Xiaolong Li, Yilin Zhao, Han Zhang, Subhashree Radhakrishnan, Arihant Jain, Ratnesh Kumar, Vidya N. Murali, Yuxing Wang, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Xunlei Wu, Zhedong Zheng, Pranamesh Chakraborty, Rama Chellappa |
| 2025 | IJCAI | RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation. | Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang |
| 2025 | ISCAS | A Comprehensive Evaluation of Encrypted DNN Inference Methods. | Yu-Te Ku, Ming-Chien Ho, Yu Xiao, Feng-Hao Liu, Chih-Fan Hsu, Ming-Ching Chang, Shih-Hao Hung, Wei-Chao Chen |
| 2025 | ISM | Physics-Guided Exposure Parameter Estimation for Image Metadata Verification. | Sharmilee Rajkumar Rajan, Ming-Ching Chang, Pradeep K. Atrey |
| 2025 | MICCAI | A Latent-Guided Hybrid Architecture for Liver Segmentation in Contrast-Enhanced MRI. | Ting Yu Tsai, An Yu, Wenqi Li, Ming-Ching Chang |
| 2025 | WACV | A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations Using Semantic Significance. | Yuwei Chen, Ming-Ching Chang, Matthias Kirchner, Zhenfei Zhang, Xin Li, Arslan Basharat, Anthony Hoogs |
| 2025 | WACV | Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis. | Po-Hsuan Huang, Jeng-Lin Li, Chin-Po Chen, Ming-Ching Chang, Wei-Chao Chen |
| 2024 | AAAI | Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention. | Ying-Yu Chen, Jun-Wei Hsieh, Xin Li, Ming-Ching Chang |
| 2024 | AAAI | SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking. | Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Hung-Hin So, Xin Li |
| 2024 | AAAI | A New Benchmark and Model for Challenging Image Manipulation Detection. | Zhenfei Zhang, Mingyang Li, Ming-Ching Chang |
| 2024 | CVPR | The 8th AI City Challenge. | Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa |
| 2024 | ECCV | Learning Multi-Manifold Embedding for Out-of-Distribution Detection. | Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen |
| 2024 | ECCV | Image Manipulation Detection with Implicit Neural Representation and Limited Supervision. | Zhenfei Zhang, Mingyang Li, Xin Li, Ming-Ching Chang, Jun-Wei Hsieh |
| 2024 | ICASSP | Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation Strategies. | Shang-Jui Kuo, Po-Han Huang, Chia-Ching Lin, Jeng-Lin Li, Ming-Ching Chang |
| 2024 | ICCAD | Invited Paper: Efficient Design of FHEW/TFHE Bootstrapping Implementation with Scalable Parameters. | Ming-Chien Ho, Yu-Te Ku, Yu Xiao, Feng-Hao Liu, Chih-Fan Hsu, Ming-Ching Chang, Shih-Hao Hung, Wei-Chao Chen |
| 2024 | ICIP | Learning With Instance-Dependent Noisy Labels By Anchor Hallucination And Hard Sample Label Correction. | Po-Hsuan Huang, Chia-Ching Lin, Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen |
| 2024 | ICIP | Set-Nas: Sample-Efficient Training For Neural Architecture Search With Strong Predictor And Stratified Sampling. | Yu-Ming Zhang, Jun-Wei Hsieh, Yu-Hsiu Chang, Xin Li, Ming-Ching Chang, Chun-Chieh Lee, Kuo-Chin Fan |
| 2023 | CVPR | FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection. | Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Erkhembayar Ganbold, Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Byambaa Dorj, Hamad Al Jassmi, Ganzorig Batnasan, Fady Alnajjar, Mohammed Abduljabbar, Fang-Pang Lin |
| 2023 | CVPR | The 7th AI City Challenge. | Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa |
| 2023 | CVPR | Video Analytics for Detecting Motorcyclist Helmet Rule Violations. | Chun-Ming Tsai, Jun-Wei Hsieh, Ming-Ching Chang, Guan-Lin He, Ping-Yang Chen, Wei-Tsung Chang, Yi-Kuan Hsieh |
| 2023 | CVPR | PRB-FPN+: Video Analytics for Enforcing Motorcycle Helmet Laws. | Bor-Shiun Wang, Ping-Yang Chen, Yi-Kuan Hsieh, Jun-Wei Hsieh, Ming-Ching Chang, JiaXin He, Shin-You Teng, HaoYuan Yue, Yu-Chee Tseng |
| 2023 | ECAI | GAN-Generated Faces Detection: A Survey and New Perspectives. | Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu |
| 2023 | ESORICS | An Efficient CKKS-FHEW/TFHE Hybrid Encrypted Inference Framework. | Tzu-Li Liu, Yu-Te Ku, Ming-Chien Ho, Feng-Hao Liu, Ming-Ching Chang, Chih-Fan Hsu, Wei-Chao Chen, Shih-Hao Hung |
| 2023 | ICIP | Fisheye Multiple Object Tracking by Learning Distortions Without Dewarping. | Ping-Yang Chen, Jun-Wei Hsieh, Ming-Ching Chang, Munkhjargal Gochoo, Fang-Pang Lin, Yong-Sheng Chen |
| 2022 | CVPR | PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. | Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan |
| 2022 | CVPR | The 6th AI City Challenge. | Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa |
| 2022 | ECCV | Instance Contour Adjustment via Structure-Driven CNN. | Shuchen Weng, Yi Wei, Ming-Ching Chang, Boxin Shi |
| 2022 | ICASSP | Vocbench: A Neural Vocoder Benchmark for Speech Synthesis. | Ehab A. AlBadawy, Andrew Gibiansky, Qing He, Jilong Wu, Ming-Ching Chang, Siwei Lyu |
| 2022 | ICASSP | Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces. | Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu |
| 2022 | ICASSP | Text-Image De-Contextualization Detection Using Vision-Language Models. | Mingzhen Huang, Shan Jia, Ming-Ching Chang, Siwei Lyu |
| 2022 | ICASSP | Improving Class Activation Map for Weakly Supervised Object Localization. | Zhenfei Zhang, Ming-Ching Chang, Tien D. Bui |
| 2021 | AVSS | FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild. | Shou-Fang Wu, Ming-Ching Chang, Siwei Lyu, Cheng-Shih Wong, Abhineet Kumar Pandey, Po-Chi Su |
| 2021 | AVSS | A Video Analytic System for Rail Crossing Point Protection. | Guangliang Zhao, Abhineet Kumar Pandey, Ming-Ching Chang, Siwei Lyu |
| 2021 | BMVC | Multi-Teacher Single-Student Visual Transformer with Multi-Level Attention for Face Spoofing Detection. | Yao-Hui Huang, Jun-Wei Hsieh, Ming-Ching Chang, Lipeng Ke, Siwei Lyu, Arpita Samanta Santra |
| 2021 | BMVC | Learnable Discrete Wavelet Pooling (LDW-Pooling) for Convolutional Networks. | Bor-Shiun Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Lipeng Ke, Siwei Lyu |
| 2021 | CVPR | Multi-Camera Tracking by Candidate Intersection Ratio Tracklet Matching. | Yun-Lun Li, Zhi-Yi Chin, Ming-Ching Chang, Chen-Kuo Chiang |
| 2021 | CVPR | The 5th AI City Challenge. | Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. Lpez, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff |
| 2020 | AAAI | 3D Single-Person Concurrent Activity Detection Using Stacked Relation Network. | Yi Wei, Wenbo Li, Yanbo Fan, Linghan Xu, Ming-Ching Chang, Siwei Lyu |
| 2020 | ACCV | MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. | Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang |
| 2020 | CVPR | AI City Challenge 2020 - Computer Vision for Smart Transportation Applications. | Ming-Ching Chang, Chen-Kuo Chiang, Chun-Ming Tsai, Yun-Kai Chang, Hsuan-Lun Chiang, Yu-An Wang, Shih-Ya Chang, Yun-Lun Li, Ming-Shuin Tsai, Hung-Yu Tseng |
| 2020 | CVPR | The 4th AI City Challenge. | Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty |
| 2020 | FlAIRS | Modeling Latent Comorbidity for Health Risk Prediction Using Graph Convolutional Network. | Rui Wang, Ming-Ching Chang, Marleen Radigan |
| 2020 | ICIP | Railcar Detection, Identification and Tracking for Rail Yard Management. | Ming-Ching Chang, Guangliang Zhao, Abhineet Kumar Pandey, Andrew Pulver, Peter H. Tu |
| 2020 | ICIP | Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections. | Ping-Yang Chen, Jun-Wei Hsieh, Munkhjargal Gochoo, Ming-Ching Chang, Chien-Yao Wang, Yong-Sheng Chen, Hong-Yuan Mark Liao |
| 2020 | IROS | Explainable and Efficient Sequential Correlation Network for 3D Single Person Concurrent Activity Detection. | Yi Wei, Wenbo Li, Ming-Ching Chang, Hongxia Jin, Siwei Lyu |
| 2019 | AVSS | Graph-to-Graph Energy Minimization for Video Object Segmentation. | Yuezun Li, Longyin Wen, Ming-Ching Chang, Siwei Lyu |
| 2019 | BMVC | Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches. | Yuezun Li, Xiao Bian, Ming-Ching Chang, Siwei Lyu |
| 2019 | CVPR | AI City Challenge 2019 - City-Scale Video Analytics for Smart Transportation. | Ming-Ching Chang, Jiayi Wei, Zheng-An Zhu, Yan-Ming Chen, Chan-Shuo Hu, Ming-Xiu Jiang, Chen-Kuo Chiang |
| 2019 | CVPR | The 2019 AI City Challenge. | Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu |
| 2019 | SENSYS | Occupancy Sensing and Activity Recognition with Cameras and Wireless Sensors. | Yang Zhao, Peter H. Tu, Ming-Ching Chang |
| 2018 | AVSS | Pixel Offset Regression (POR) for Single-shot Instance Segmentation. | Yuezun Li, Xiao Bian, Ming-Ching Chang, Longyin Wen, Siwei Lyu |
| 2018 | AVSS | UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. | Siwei Lyu, Ming-Ching Chang, Dawei Du, Wenbo Li, Yi Wei, Marco Del Coco, Pierluigi Carcagn, Arne Schumann, Bharti Munjal, Dinh-Quoc-Trung Dang, Doo-Hyun Choi, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guna Seetharaman, Jang-Woon Baek, Jong Taek Lee, Kannappan Palaniappan, Kil-Taek Lim, Kiyoung Moon, Kwang-Ju Kim, Lars Sommer, Meltem Brandlmaier, Minsung Kang, Moongu Jeon, Noor M. Al-Shakarji, Oliver Acatay, Pyong-Kun Kim, Sikandar Amin, Thomas Sikora, Tien Ba Dinh, Tobias Senst, Vu-Gia-Hy Che, Young-Chul Lim, Young-min Song, Yun-Su Chung |
| 2018 | BMVC | Robust Adversarial Perturbation on Deep Proposal-based Models. | Yuezun Li, Daniel Tian, Ming-Ching Chang, Xiao Bian, Siwei Lyu |
| 2018 | CVPR | Video Analytics in Smart Transportation for the AIC'18 Challenge. | Ming-Ching Chang, Yi Wei, Nenghui Song, Siwei Lyu |
| 2018 | CVPR | The 2018 NVIDIA AI City Challenge. | Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu |
| 2018 | ECCV | Multi-Scale Structure-Aware Network for Human Pose Estimation. | Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu |
| 2018 | ICIP | Multi-Scale Supervised Network for Human Pose Estimation. | Lipeng Ke, Honggang Qi, Ming-Ching Chang, Siwei Lyu |
| 2018 | ICPR | Explain Black-box Image Classifications Using Superpixel-based Interpretation. | Yi Wei, Ming-Ching Chang, Yiming Ying, Ser Nam Lim, Siwei Lyu |
| 2017 | AVSS | UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. | Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco, Pierluigi Carcagn, Dmitriy Anisimov, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guang Han, Hao Ye, Hong Wang, Kannappan Palaniappan, Koray Ozcan, Li Wang, Liang Wang, Martin Lauer, Nattachai Watcharapinchai, Nenghui Song, Noor M. Al-Shakarji, Shuo Wang, Sikandar Amin, Sitapa Rujikietgumjorn, Tatiana Khanova, Thomas Sikora, Tino Kutschbach, Volker Eiselein, Wei Tian, Xiangyang Xue, Xiaoyi Yu, Yao Lu, Yingbin Zheng, Yongzhen Huang, Yuqi Zhang |
| 2017 | ICCV | Adaptive RNN Tree for Large-Scale Human Action Recognition. | Wenbo Li, Longyin Wen, Ming-Ching Chang, Ser Nam Lim, Siwei Lyu |
| 2017 | ICIP | In-bed patient motion and pose analysis using depth videos for pressure ulcer prevention. | Ming-Ching Chang, Ting Yi, Kun Duan, Jiajia Luo, Peter H. Tu, Michael Priebe, Elena A. Wood, Max E. Stachura |
| 2017 | ICIP | Cloud tracking for solar irradiance prediction. | Ming-Ching Chang, Yi Yao, Guan Li, Yan Tong, Peter H. Tu |
| 2017 | ICIP | Hybrid structure hypergraph for online deformable object tracking. | Shengkun Li, Dawei Du, Longyin Wen, Ming-Ching Chang, Siwei Lyu |
| 2017 | UIC | The NVIDIA AI City Challenge. | Milind Naphade, David C. Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Jerry Zeyu Gao |
| 2017 | UIC | Street object detection / tracking for AI city traffic analysis. | Yi Wei, Nenghui Song, Lipeng Ke, Ming-Ching Chang, Siwei Lyu |
| 2016 | AAAI | Co-Regularized PLSA for Multi-Modal Learning. | Xin Wang, Ming-Ching Chang, Yiming Ying, Siwei Lyu |
| 2016 | AVSS | Efficient large-scale photometric reconstruction using Divide-Recon-Fuse 3D Structure from Motion. | Yueming Yang, Ming-Ching Chang, Longyin Wen, Peter H. Tu, Honggang Qi, Siwei Lyu |
| 2015 | BMVC | Fast Online Upper Body Pose Estimation from Video. | Ming-Ching Chang, Honggang Qi, Xin Wang, Hong Cheng, Siwei Lyu |
| 2015 | ICIP | Bridging computer vision and social science: A multi-camera vision system for social interaction training analysis. | Jixu Chen, Ming-Ching Chang, Tai-Peng Tian, Ting Yu, Peter H. Tu |
| 2015 | ICIP | Seeing as it happens: Real time 3D video event visualization. | Yueming Yang, Ming-Ching Chang, Peter H. Tu, Siwei Lyu |
| 2012 | ECCV | Spatio-Temporal Phrases for Activity Recognition. | Yimeng Zhang, Xiaoming Liu, Ming-Ching Chang, Weina Ge, Tsuhan Chen |
| 2012 | WACV | Group context learning for event recognition. | Yimeng Zhang, Weina Ge, Ming-Ching Chang, Xiaoming Liu |
| 2011 | AVSS | Gaze and body pose estimation from a distance. | Nils Krahnstoever, Ming-Ching Chang, Weina Ge |
| 2011 | ICCV | Probabilistic group-level motion analysis and scenario recognition. | Ming-Ching Chang, Nils Krahnstoever, Weina Ge |
| 2011 | WACV | Tracking gaze direction from far-field surveillance cameras. | Karthik Sankaranarayanan, Ming-Ching Chang, Nils Krahnstoever |
| 2010 | AVSS | Group Level Activity Recognition in Crowded Environments across Multiple Cameras. | Ming-Ching Chang, Nils Krahnstoever, Sernam Lim, Ting Yu |
| 2008 | CVPR | Regularizing 3D medial axis using medial scaffold transforms. | Ming-Ching Chang, Benjamin B. Kimia |
| 1998 | MVA | Fast Search Algorithms for IC Printed Mark Quality Inspection. | Ming-Ching Chang, Hsien-Yei Chen, Chiou-Shann Fuh |