Selected Publications (visit full list)
Healthcare, Deep Learning, Scalable Machine Learning, Computer Vision
A Three-Branch Checks-and-Balances Framework for Context-Aware Ethical Alignment of Large Language Models
Edward Y. Chang
NeurIPS, 2024
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EVINCE: Optimizing Adversarial LLM Dialogues via Conditional Statistics and Information Theory
Edward Y. Chang
Stanford Inforlab Technical Report, June 2024 (under review)
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Behavioral Emotion Analysis Model for Large Language Models
Edward Y. Chang
IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) (invited paper), August 2024
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Uncovering Biases with Reflective Large Language Models
Edward Y. Chang
Stanford Inforlab Technical Report, April 2024
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Cooperate Sales Planning Using Multiple Collaborative LLMs
Wen-Kwang Tsao and Edward Y. Chang
Stanford Inforlab Technical Report, February 2024
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SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Edward Y. Chang
Stanford Inforlab Technical Report, September, 2023 (revised January 2024)
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SocraHealth: Enhancing Medical Diagnosis and Correcting Historical Records
Jocelyn J. Chang and Edward Y. Chang
The 10th IEEE International Conference on Computational Science and Computational Intelligence (CSCI'23), December 2023
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Examining GPT-4’s Capabilities and Enhancement with SocraSynth
Edward Y. Chang
The 10th IEEE International Conference on Computational Science and Computational Intelligence (CSCI'23), December 2023
(
Top-1% accessed paper on ResearchGate)
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Discovering Insights Beyond the Known: A Dialogue Between GPT-4 Agents from Adam and Eve to the Nexus of Ecology, AI, and the Brain
Edward Y. Chang, Emily J. Chang
Stanford Inforlab Technical Report, August 2023 (
Most read paper in August on ResearchGate)
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Prompting Large Language Models With the Socratic Method
Edward Y. Chang
IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), March 2023 (The best presentation in the AI track)
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CoCoMo: Computational Consciousness Modeling for Generative and Ethical AI Edward Y. Chang
arXiv:2304.02438 e-print, February, 2023
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CRIT: An Inquisitive Prompt Template for Critical Reading
Edward Y. Chang
Stanford InfoLab Technical Report, January 2023
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Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and future directions
Edward Y. Chang
arXiv:2212.13591 e-print, December 27th, 2022
Chapter 2 in Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases (ISBN: 9780323991360), Elsevier, August 22, 2023
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Artificial Intelligence in XPRIZE DeepQ Tricorder (XPRIZE Award)
EY Chang, MH Wu, KF Tang, HC Kao, CN Chou
Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, 2017
ACM Multimedia Conference Keynote, 2017
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Press
Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology
HTC DeepQ, Stanford University, National Taiwan University
IEEE Infrastructure Conference, 2020 (invited paper)
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IEEE Keynote | BibTex
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, EY Chang, SW Liao
International Conference on Computer Vision (ICCV), 2019
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MBS: Macroblock Scaling for CNN Model Reduction
YH Lin, CN Chou, EY Chang
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019
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Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses
FC Chang, JJ Chang, CN Chou, EY Chang
IEEE MIPR Conference (invited paper), 2019
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EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks
SW Chen, CN Chou, EY Chang
AAAI Conference, 2019
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REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
YS Peng, KF Tang, HT Lin, EY Chang
Advances in Neural Information Processing Systems (NeurIPS) Conference, 2018
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Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning
HC Kao, KF Tang, EY Chang
AAAI Conference, 2018
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Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
J Huang, WX Zhao, H Dou, JR Wen, EY Chang
ACM SIGIR Conference, 2018
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Predicting the Popularity of Online Content with Knowledge-enhanced Neural Networks
H Dou, WX Zhao, Y Zhao, D Dong, JR Wen, EY Chang
ACM KDD Conference, 2018
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Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts
WX Zhao, F Fan, JR Wen, EY Chang
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (2), 22, 2018
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DeepLinQ: Distributed Multi-Layer Ledgers for Privacy-Preserving Data Sharing
SW Liao, EY Chang, CT Liu, WC Lin, PW Liao, WK Fu, CH Mei, EJ Chang
IEEE Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018
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DeepQ Arrhythmia Database: A Large-Scale Dataset for Arrhythmia Detector Evaluation
MH Wu, EY Chang
Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, 2017
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Distributed Training Large-Scale Deep Architectures
SX Zou, CY Chen, JL Wu, CN Chou, CC Tsao, KC Tung, TW Lin, CL Sung, EY Chang
International Conference on Advanced Data Mining and Applications, 18-32, 2017
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ARISTO: An Augmented Reality Platform for Immersion and Interactivity
Z Zheng, B Wang, Y Wang, S Yang, Z Dong, T Yi, C Choi, EJ Chang, EY Chang
ACM Multimedia Conference, 690-698, 2017
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CLKN: Cascaded Lucas-kanade Networks for Image Alignment
CH Chang, CN Chou, EY Chang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
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A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories
C Yang, M Sun, WX Zhao, Z Liu, EY Chang
ACM Transactions on Information Systems (TOIS) 35 (4), 36, 2017
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Mining Product Adopter Information from Online Reviews for Improving Product Recommendation
WX Zhao, J Wang, Y He, JR Wen, EY Chang, X Li
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (3), 29:1-29:23, 2016
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Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information
WX Zhao, S Li, Y He, EY Chang, JR Wen, X Li
IEEE Transactions on Knowledge and Data Engineering (TKDE) 28 (5), 1147-1159, 2016
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Tweet Timeline Generation with Determinantal Point Processes
J Yao, F Fan, WX Zhao, X Wan, EY Chang, J Xiao
AAAI Conference, 3080-3086, 2016
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Transfer Representation Learning for Medical Image Analysis
CK Shie, CH Chuang, CN Chou, MH Wu, EY Chang
IEEE International Conference on Engineering in Medicine and Biology Society (EMBC), 2015
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Network Representation Learning with Rich Text Information
C Yang, Z Liu, D Zhao, M Sun, EY Chang
IJCAI, 2111-2117, 2015
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Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds
H Zhang, Z Lin, C Zhang, EY Chang
AAAI Conference, 3143-3149, 2015
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A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm
Z Li, D Zhao, Z Lin, EY Chang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
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Big Data Small Footprint: the Design of a Low-Power Classifier for Detecting Transportation Modes
MC Yu, T Yu, SC Wang, CJ Lin, EY Chang
Proceedings of the VLDB Endowment 7 (13), 1429-1440, 2014
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Context-aware Computing: Opportunities and Open Issues
EY Chang
Proceedings of the VLDB Endowment 6 (11), 1172-1173, 2013
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MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking
J Jiang, H Bao, EY Chang, Y Li
Proceedings of the VLDB Endowment 5 (12), 1838-1849, 2012
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A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering
TC Zhou, X Si, EY Chang, I King, MR Lyu
AAAI, 2012
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PLDA+: Parallel Latent Dirichlet Allocation with Data Placement and Pipeline Processing
Z Liu, Y BIGDATA, EY Chang, M Sun
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 2011
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Open Source
Parallel Spectral Clustering in Distributed Systems
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, EY Chang, M Sun
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 33 (3), 2011
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Open Source
Confucius and its Intelligent Disciples: Integrating Social with Search
X Si, EY Chang, Z Gyöngyi, M Sun
Proceedings of the VLDB Endowment 3 (1-2), 1505-1516, 2010
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Adheat: An Influence-based Diffusion Model for Propagating Hints to Match Ads (best paper)
H Bao, EY Chang
World Wide Web Conference (WWW), 71-80, 2010
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PLDA: Parallel Latent Dirichlet Allocation for Large-Scale Applications
Yi Wang, Hongjie Bai, Matt Stanton, Wen-Yen Chen, EY Chang
International Conference on Algorithmic Applications in Management, 301-314, 2009
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Open Source
PFP: Parallel FP-Growth for Query Recommendation
H Li, Yi Wang, D Zhang, M Zhang, EY Chang
ACM Conference on Recommendation Systems, 107-114, 2008
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Open Source
PSVM: Parallelizing Enhancing Vector Machines on Distributed Computers
EY Chang, K Zhu, H Wang, H Bai, J Li, Z Qiu, H Cui
Advances in Neural Information Processing Systems (NIPS), 257-264, 2007
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Open Source
Learning the Unified Kernel Machines for Classification
SCH Hoi, MR Lyu, EY Chang
ACM SIGKDD Conference, 187-196, 2006
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Concept Boundary Detection for Speeding up SVMs
Navneet Panda, Edward Y Chang, Gang Wu
International Conference on Machine Learning (ICML), 681-688, 2006
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An Analysis of Transformation on Non-Positive Semidefinite Similarity Matrix for Kernel Machines
Gang Wu, Edward Y Chang, Zhihua Zhang
International Conference on Machine Learning (ICML), 2005
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Formulating Context-Dependent Similarity Functions
G Wu, EY Chang, N Panda
ACM Multimedia Conference, 725-734, 2005
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Formulating Distance Functions via the Kernel Trick
G Wu, EY Chang, N Panda
ACM KDD Conference, 703-709, 2005
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KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution
M Fan, D Zhao, Q Zhou, Z Liu, TF Zheng, EY Chang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 17 (6), 786-795, 2005
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Enhanced Perceptual Distance Functions and Indexing for Image Replica Recognition
A Qamra, Y Meng, EY Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 27 (3), 379-391, 2005
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Adaptive Stream Resource Management Using Kalman Filters
A Jain, EY Chang, YF Wang
ACM SIGMOD International Conference on Management of Data, 11-22, 2004
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Multimodal Concept-Dependent Active Learning for Image Retrieval
KS Goh, EY Chang, WC Lai
ACM Multimedia Conference, 564-571, 2004
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Multi-Camera Spatio-Temporal Fusion and Biased Sequence-Data Learning for Security Surveillance
G Wu, Y Wu, L Jiao, YF Wang, EY Chang
ACM Multimedia Conference, 528-538, 2004
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The Anatomy of a Multimodal Information Filter
YL Wu, KS Goh, B Li, H You, EY Chang
ACM KDD Conference, 2003
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Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning
G Wu, EY Chang
International Conference on Machine Learning (ICML), 816-823, 2003
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Class-Boundary Alignment for Imbalanced Dataset Learning
G Wu, EY Chang
ICML workshop on Learning from Imbalanced Data Sets, 2003
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CBSA: Content-Based Soft Annotation for Multimodal Image Retrieval Using Bayes Point Machines (invited paper)
EY Chang, K Goh, G Sychay, G Wu
IEEE Transactions on Circuits and Systems for Video Technology, 13 (1), 26-38, 2003
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DynDex: A Dynamic and Non-Metric Space Indexer
KS Goh, B Li, EY Chang
ACM Multimedia Conference, 466-475, 2002
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DPF - A Perceptual Distance Function for Image Retrieval
B Li, EY Chang, CT Wu
IEEE International Conference on Image Processing (ICIP), 2002
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Support Vector Machine Active Learning for Image Retrieval
S Tong, EY Chang
ACM Multimedia Conference, 107-118, 2001
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Effective Memory Use in a Media Server
EY Chang, H Garcia-Molina
VLDB Conference, 496-505, 1997
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