Edward Y. Chang

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 44

Top Venues

CoRR

AAAI

ACM Multimedia

CVPR

Publications

Edward Y. Chang
Ensuring Ground Truth Accuracy in Healthcare with the EVINCE framework. CoRR (2024)
Edward Y. Chang
Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models. CoRR (2024)
Edward Y. Chang
Modeling Emotions and Ethics with Large Language Models. CoRR (2024)
Edward Y. Chang
SocraSynth: Multi-LLM Reasoning with Conditional Statistics. CoRR (2024)
Edward Y. Chang
Prompting Large Language Models With the Socratic Method. CCWC (2023)
Edward Y. Chang
CoCoMo: Computational Consciousness Modeling for Generative and Ethical AI. CoRR (2023)
Edward Y. Chang
Prompting Large Language Models With the Socratic Method. CoRR (2023)
Edward Y. Chang
Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions. CoRR (2022)
Chih-Yang Chen, Che-Han Chang, Edward Y. Chang
Hypernetwork-Based Augmentation. CoRR (2020)
Wei-Kang Fu, Yi-Shan Lin, Giovanni Campagna, De-Yi Tsai, Chun-Ting Liu, Chung-Huan Mei, Edward Y. Chang, Monica S. Lam, Shih-Wei Liao
Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology. CoRR (2020)
Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou, Edward Y. Chang
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data. CoRR (2019)
Fu-Chieh Chang, Jocelyn Chang, Chun-Nan Chou, Edward Y. Chang
Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses. MIPR (2019)
Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. CoRR (2019)
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
MBS: Macroblock Scaling for CNN Model Reduction. CVPR (2019)
Yu-Jing Lin, Po-Wei Wu, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. ICCV (2019)
Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks. AAAI (2019)
Che-Han Chang, Chun-Hsien Yu, Szu-Ying Chen, Edward Y. Chang
KG-GAN: Knowledge-Guided Generative Adversarial Networks. CoRR (2019)
Yang-En Chen, Kai-Fu Tang, Yu-Shao Peng, Edward Y. Chang
Effective Medical Test Suggestions Using Deep Reinforcement Learning. CoRR (2019)
Yu-Shao Peng, Kai-Fu Tang, Hsuan-Tien Lin, Edward Y. Chang
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis. NeurIPS (2018)
Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang
BDA-PCH: Block-Diagonal Approximation of Positive-Curvature Hessian for Training Neural Networks. CoRR (2018)
Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, Edward Y. Chang
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. SIGIR (2018)
Wayne Xin Zhao, Feifan Fan, Ji-Rong Wen, Edward Y. Chang
Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts. ACM Trans. Knowl. Discov. Data 12 (2) (2018)
Hao-Cheng Kao, Kai-Fu Tang, Edward Y. Chang
Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning. AAAI (2018)
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
Backward Reduction of CNN Models with Information Flow Analysis. CoRR (2018)
Pan Zhou, Cong Fang, Zhouchen Lin, Chao Zhang, Edward Y. Chang
Dictionary learning with structured noise. Neurocomputing 273 (2018)
Edward Y. Chang, Shih-Wei Liao, Chun-Ting Liu, Wei-Chen Lin, Pin-Wei Liao, Wei-Kang Fu, Chung-Huan Mei, Emily J. Chang
DeepLinQ: Distributed Multi-Layer Ledgers for Privacy-Preserving Data Sharing. AIVR (2018)
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
MBS: Macroblock Scaling for CNN Model Reduction. CoRR (2018)
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
BRIEF: Backward Reduction of CNNs with Information Flow Analysis. AIVR (2018)
Wayne Xin Zhao, Ningnan Zhou, Aixin Sun, Ji-Rong Wen, Jialong Han, Edward Y. Chang
A time-aware trajectory embedding model for next-location recommendation. Knowl. Inf. Syst. 56 (3) (2018)
Zhongyang Zheng, Bo Wang, Yakun Wang, Shuang Yang, Zhongqian Dong, Tianyang Yi, Cyrus Choi, Emily J. Chang, Edward Y. Chang
Aristo: An Augmented Reality Platform for Immersion and Interactivity. ACM Multimedia (2017)
Shang-Xuan Zou, Chun-Yen Chen, Jui-Lin Wu, Chun-Nan Chou, Chia-Chin Tsao, Kuan-Chieh Tung, Ting-Wei Lin, Cheng-Lung Sung, Edward Y. Chang
Distributed Training Large-Scale Deep Architectures. CoRR (2017)
Meng-Hsi Wu, Edward Y. Chang
DeepQ Arrhythmia Database: A Large-Scale Dataset for Arrhythmia Detector Evaluation. MMHealth@MM (2017)
Chun-Nan Chou, Chuen-Kai Shie, Fu-Chieh Chang, Jocelyn Chang, Edward Y. Chang
Representation Learning on Large and Small Data. CoRR (2017)
Edward Y. Chang, Meng-Hsi Wu, Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou
Artificial Intelligence in XPRIZE DeepQ Tricorder. MMHealth@MM (2017)
Che-Han Chang, Chun-Nan Chou, Edward Y. Chang
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment. CVPR (2017)
Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu, Edward Y. Chang
A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories. ACM Trans. Inf. Syst. 35 (4) (2017)
Feifan Fan, Wayne Xin Zhao, Ji-Rong Wen, Ge Xu, Edward Y. Chang
Mining collective knowledge: inferring functional labels from online review for business. Knowl. Inf. Syst. 53 (3) (2017)
Shang-Xuan Zou, Chun-Yen Chen, Jui-Lin Wu, Chun-Nan Chou, Chia-Chin Tsao, Kuan-Chieh Tung, Ting-Wei Lin, Cheng-Lung Sung, Edward Y. Chang
Distributed Training Large-Scale Deep Architectures. ADMA (2017)
Edward Y. Chang
DeepQ: Advancing Healthcare through Artificial Intelligence and Virtual Reality. ACM Multimedia (2017)
Wayne Xin Zhao, Ningnan Zhou, Wenhui Zhang, Ji-Rong Wen, Shan Wang, Edward Y. Chang
A Probabilistic Lifestyle-Based Trajectory Model for Social Strength Inference from Human Trajectory Data. ACM Trans. Inf. Syst. 35 (1) (2016)
Wayne Xin Zhao, Jinpeng Wang, Yulan He, Ji-Rong Wen, Edward Y. Chang, Xiaoming Li
Mining Product Adopter Information from Online Reviews for Improving Product Recommendation. ACM Trans. Knowl. Discov. Data 10 (3) (2016)
Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu, Edward Y. Chang
A Neural Network Approach to Joint Modeling Social Networks and Mobile Trajectories. CoRR (2016)
Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Y. Chang, Jianguo Xiao
Tweet Timeline Generation with Determinantal Point Processes. AAAI (2016)
Wayne Xin Zhao, Sui Li, Yulan He, Edward Y. Chang, Ji-Rong Wen, Xiaoming Li
Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information. IEEE Trans. Knowl. Data Eng. 28 (5) (2016)
Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Y. Chang
Network Representation Learning with Rich Text Information. IJCAI (2015)
Wen-bing Huang, Deli Zhao, Fuchun Sun, Huaping Liu, Edward Y. Chang
Scalable Gaussian Process Regression Using Deep Neural Networks. IJCAI (2015)
Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang
Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds. AAAI (2015)
Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang
Determining step sizes in geometric optimization algorithms. ISIT (2015)
Chuen-Kai Shie, Chung-Hisang Chuang, Chun-Nan Chou, Meng-Hsi Wu, Edward Y. Chang
Transfer representation learning for medical image analysis. EMBC (2015)
Yu-Hsin Lin, Yu-Mei Chen, Lun-Cheng Chu, Andre Chen, Scott Chien-Hung Liao, Edward Y. Chang
Pan360: INS Assisted 360-Degree Panorama (Demo Description). ACM Multimedia (2015)
Lun-Cheng Chu, Andre Chen, Yu-Hsin Lin, Yu-Mei Chen, Scott Chien-Hung Liao, Edward Y. Chang
Pan360: INS Assisted 360-Degree Panorama. ImmersiveME@ACM Multimedia (2015)
Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang
A new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm. CVPR (2015)
Zhiyu Wang, Peng Cui, Fangtao Li, Edward Y. Chang, Shiqiang Yang
A data-driven study of image feature extraction and fusion. Inf. Sci. 281 (2014)
Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng, Edward Y. Chang
Errata: Distant Supervision for Relation Extraction with Matrix Completion. CoRR (2014)
Meng-Chieh Yu, Tong Yu, Shao-Chen Wang, Chih-Jen Lin, Edward Y. Chang
Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes. Proc. VLDB Endow. 7 (13) (2014)
Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng, Edward Y. Chang
Distant Supervision for Relation Extraction with Matrix Completion. ACL (1) (2014)
Edward Y. Chang
Context-Aware Computing: Opportunities and Open Issues. Proc. VLDB Endow. 6 (11) (2013)
Edward Y. Chang, Shih-Fu Chang, Alexander G. Hauptmann, Thomas S. Huang, Malcolm Slaney
Web-Scale Multimedia Processing and Applications [Scanning the Issue]. Proc. IEEE 100 (9) (2012)
Junchen Jiang, Hongji Bao, Edward Y. Chang, Yuqian Li
MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking . Proc. VLDB Endow. 5 (12) (2012)
Yuan Gao, Chengu Wang, Edward Y. Chang
INSPORAMA: INS-Aided Misalignment Correction in Feature-Based Panoramic Image Stitching. ICME Workshops (2012)
Zhihua Zhang, Dakan Wang, Edward Y. Chang
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling. AISTATS (2012)
Zhicheng Zheng, Xiance Si, Fangtao Li, Edward Y. Chang, Xiaoyan Zhu
Entity Disambiguation with Freebase. Web Intelligence (2012)
Weipeng Zhuo, Bo Zhang, Shueng-Han Gary Chan, Edward Y. Chang
Error Modeling and Estimation Fusion for Indoor Localization. ICME (2012)
Tom Chao Zhou, Xiance Si, Edward Y. Chang, Irwin King, Michael R. Lyu
A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering. AAAI (2012)
Haoruo Peng, Zhengyu Wang, Edward Y. Chang, Shuchang Zhou, Zhihua Zhang
Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets. ECML/PKDD (1) (2012)
Junchen Jiang, Hongji Bao, Edward Y. Chang, Yuqian Li
MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking CoRR (2012)
Bo Zhang, S.-H. Gary Chan, Gene Cheung, Edward Y. Chang
LocalTree: An Efficient Algorithm for Mobile Peer-to-Peer Live Streaming. ICC (2011)
Edward Y. Chang
Mobile Information Management and Retrieval. ICADL (2011)
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang
Parallel Spectral Clustering in Distributed Systems. IEEE Trans. Pattern Anal. Mach. Intell. 33 (3) (2011)
Baichuan Li, Xiance Si, Michael R. Lyu, Irwin King, Edward Y. Chang
Question identification on twitter. CIKM (2011)
Edward Y. Chang
A conversation with Dr. Edward Y. Chang. SIGKDD Explor. 13 (2) (2011)
Zhicheng Zheng, Xiance Si, Edward Y. Chang, Xiaoyan Zhu
K2Q: Generating Natural Language Questions from Keywords with User Refinements. IJCNLP (2011)
Zhiyuan Liu, Yuzhou Zhang, Edward Y. Chang, Maosong Sun
PLDA+: Parallel latent dirichlet allocation with data placement and pipeline processing. ACM Trans. Intell. Syst. Technol. 2 (3) (2011)
Edward Y. Chang
Sensor-aided mobile information management and retrieval. SIGIR (2011)
Malcolm Slaney, Edward Y. Chang
Processing web-scale multimedia data. ACM Multimedia (2010)
Edward Y. Chang
Search and Social Integration. WISE (2010)
Xiance Si, Edward Y. Chang, Zoltán Gyöngyi, Maosong Sun
Confucius and Its Intelligent Disciples: Integrating Social with Search. Proc. VLDB Endow. 3 (2) (2010)
Hongji Bao, Edward Y. Chang
AdHeat: an influence-based diffusion model for propagating hints to match ads. WWW (2010)
Edward Y. Chang
AdHeat - An Influence-Based Diffusion Model for Propagating Hints to Personalize Social Ads. UMAP (2010)
Yi Wang, Hongjie Bai, Matt Stanton, Wen-Yen Chen, Edward Y. Chang
PLDA: Parallel Latent Dirichlet Allocation for Large-Scale Applications. AAIM (2009)
Davood Rafiei, Andrei Z. Broder, Edward Y. Chang, Patrick Pantel
Information extraction meets relation databases. CIKM (2009)
Edward Y. Chang
Confucius and "Its" Intelligent Disciples. ADMA (2009)
Edward Y. Chang, Hongjie Bai, Kaihua Zhu
Parallel algorithms for mining large-scale rich-media data. ACM Multimedia (2009)
Edward Y. Chang
Parallel Algorithms for Collaborative Filtering. AAIM (2009)
Edward Y. Chang
Confucius and "its" intelligent disciples. CIKM (2009)
WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie Bai, Yi Wang, Edward Y. Chang
Collaborative filtering for orkut communities: discovery of user latent behavior. WWW (2009)
Edward Y. Chang
Organizing multimedia data socially. CIVR (2008)
Thomas S. Huang, Charlie K. Dagli, Shyamsundar Rajaram, Edward Y. Chang, Michael I. Mandel, Graham E. Poliner, Daniel P. W. Ellis
Active Learning for Interactive Multimedia Retrieval. Proc. IEEE 96 (4) (2008)
Yangqiu Song, WenYen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang
Parallel Spectral Clustering. ECML/PKDD (2) (2008)
Michael J. Cafarella, Edward Y. Chang, Andrew Fikes, Alon Y. Halevy, Wilson C. Hsieh, Alberto Lerner, Jayant Madhavan, S. Muthukrishnan
Data management projects at Google. SIGMOD Rec. 37 (1) (2008)
Haoyuan Li, Yi Wang, Dong Zhang, Ming Zhang, Edward Y. Chang
Pfp: parallel fp-growth for query recommendation. RecSys (2008)
WenYen Chen, Dong Zhang, Edward Y. Chang
Combinational collaborative filtering for personalized community recommendation. KDD (2008)
Jiakai Liu, Rong Hu, Meihong Wang, Yi Wang, Edward Y. Chang
Web-Scale Image Annotation. PCM (2008)
Arun Qamra, Edward Y. Chang
Scalable landmark recognition using EXTENT. Multim. Tools Appl. 38 (2) (2008)
Edward Y. Chang, Ken Ong, Susanne Boll, Wei-Ying Ma
Rich media and web 2.0. WWW (2008)
Zhihua Zhang, Gang Wu, Edward Y. Chang
Semiparametric Regression Using Student t Processes. IEEE Trans. Neural Networks 18 (6) (2007)
Ankur Jain, Edward Y. Chang, Yuan-Fang Wang
Bayesian Reasoning for Sensor Group-Queries and Diagnosis. DASFAA (2007)
Arun Qamra, Edward Y. Chang
RCMap: Efficiently Creating High-Quality Euclidean Embeddings. SDM (2007)
Raju Rangaswami, Zoran Dimitrijevic, Edward Y. Chang, Klaus E. Schauser
Building MEMS-based storage systems for streaming media. ACM Trans. Storage 3 (2) (2007)
Edward Y. Chang, Kaihua Zhu, Hao Wang, Hongjie Bai, Jian Li, Zhihuan Qiu, Hang Cui
Parallelizing Support Vector Machines on Distributed Computers. NIPS (2007)

Edward Y. Chang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Edward Y. Chang