Keng-hao Chang

According to our database, Keng-hao Chang authored at least 25 papers between 2005 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multi-Object Advertisement Creative Generation.

Jialu Gao, Mithun Das Gupta, Qun Li, Raveena Kshatriya, Andrew D. Wilson, Keng-hao Chang, Balasaravanan Thoravi Kumaravel

CoRR, March, 2026

2024

AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance.

Shouchang Guo, Sonam Damani, Keng-hao Chang

CoRR, 2024

LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models.

Shouchang Guo, Sonam Damani, Keng-hao Chang

CoRR, 2024

2022

Deep Search Relevance Ranking in Practice.

Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen D. Guo

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-modal Extreme Classification.

Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Mt-Gan: A Training Framework To Enhance Image Classification Task With Image Translation.

Qun Li, Changbo Hu, Keng-hao Chang, Ruofei Zhang

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Improving Taxonomy-based Categorization with Categorical Graph Neural Networks.

Tianchuan Du, Keng-hao Chang, Paul Liu, Ruofei Zhang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Multimodal Fusion Framework for Brand Recognition from Product Image and Context.

Changbo Hu, Qun Li, Zhen Zhang, Keng-hao Chang, Ruofei Zhang

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique.

Qun Li, Changbo Hu, Keng-hao Chang, Ruofei Zhang

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning.

J. Weston Hughes, Keng-hao Chang, Ruofei Zhang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2017

DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks.

Zi Yin, Keng-hao Chang, Ruofei Zhang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Attention Based Recurrent Neural Networks for Online Advertising.

Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei Zhang

Proceedings of the 25th International Conference on World Wide Web, 2016

DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks.

Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

A universal topic framework (UniZ) and its application in online search.

Youngchul Cha, Keng-hao Chang, Hari Bommaganti, Ye Chen, Tak W. Yan, Bin Bi, Junghoo Cho

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2012

Speech Analysis Methodologies towards Unobtrusive Mental Health Monitoring.

Keng-hao Chang

PhD thesis, 2012

2011

Improved Classification of Speaking Styles for Mental Health Monitoring Using Phoneme Dynamics.

Keng-hao Chang, Howard Lei, John F. Canny

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

AnalyzeThis: unobtrusive mental health monitoring by voice.

Keng-hao Chang, Matthew K. Chan, John F. Canny

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

How's my mood and stress?: an efficient speech analysis library for unobtrusive monitoring on mobile phones.

Keng-hao Chang, Drew Fisher, John F. Canny, Björn Hartmann

Proceedings of the 6th International Conference on Body Area Networks, 2011

2009

Inferring Identity Using Accelerometers in Television Remote Controls.

Keng-hao Chang, Jeffrey Hightower, Branislav Kveton

Proceedings of the Pervasive Computing, 7th International Conference, 2009

2008

Simplifying home health monitoring by incorporating a cell phone in a weight scale.

Thomas G. Zimmerman, Keng-hao Chang

Proceedings of the 1st ACM International Conference on Pervasive Technologies Related to Assistive Environments, 2008

Modeling and simulation comparison of two time synchronization protocols.

Tsung-Han Lin, Keng-hao Chang, Jr-ben Tian, Hao-Hua Chu, Polly Huang

Proceedings of the 3rd ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks, 2008

2007

GETA sandals: a footstep location tracking system.

Shun-yuan Yeh, Keng-hao Chang, Chon-in Wu, Hao-Hua Chu, Jane Yung-jen Hsu

Pers. Ubiquitous Comput., 2007

Tracking Free-Weight Exercises.

Keng-hao Chang, Mike Y. Chen, John F. Canny

Proceedings of the UbiComp 2007: Ubiquitous Computing, 9th International Conference, 2007

2006

The Diet-Aware Dining Table: Observing Dietary Behaviors over a Tabletop Surface.

Keng-hao Chang, Shih-yen Liu, Hao-Hua Chu, Jane Yung-jen Hsu, Cheryl Chia-Hui Chen, Tung-yun Lin, Chieh-Yu Chen, Polly Huang

Proceedings of the Pervasive Computing, 2006

2005

The GETA Sandals: A Footprint Location Tracking System.

Kenji Okuda, Shun-yuan Yeh, Chon-in Wu, Keng-hao Chang, Hao-Hua Chu

Proceedings of the Location- and Context-Awareness, First International Workshop, 2005