Benjamin Z. Yao

According to our database, Benjamin Z. Yao authored at least 31 papers between 2007 and 2024.

Collaborative distances:

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

2024

A Self-Learning Framework for Large-Scale Conversational AI Systems.

Xiaohu Liu, Chenlei Guo, Benjamin Z. Yao, Ruhi Sarikaya

IEEE Comput. Intell. Mag., May, 2024

Bringing Multimodality to Amazon Visual Search System.

Xinliang Zhu, Michael Huang, Han Ding, Jinyu Yang, Kelvin Chen, Tao Zhou, Tal Neiman, Ouye Xie, Son Tran, Benjamin Z. Yao, Douglas Gray, Anuj Bindal, Arnab Dhua

CoRR, 2024

Bringing Multimodality to Amazon Visual Search System.

Xinliang Zhu, Sheng-Wei Huang, Han Ding, Jinyu Yang, Kelvin Chen, Tao Zhou, Tal Neiman, Ouye Xie, Son Tran, Benjamin Z. Yao, Douglas Gray, Anuj Bindal, Arnab Dhua

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Diffusion Models for Multi-Task Generative Modeling.

Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs.

Sirnam Swetha, Jinyu Yang, Tal Neiman, Mamshad Nayeem Rizve, Son Tran, Benjamin Z. Yao, Trishul Chilimbi, Mubarak Shah

Proceedings of the Computer Vision - ECCV 2024, 2024

Open Vocabulary Multi-label Video Classification.

Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Z. Yao, Trishul Chilimbi

Proceedings of the Computer Vision - ECCV 2024, 2024

VidLA: Video-Language Alignment at Scale.

Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness.

Yichuan Li, Jialong Han, Kyumin Lee, Chengyuan Ma, Benjamin Z. Yao, Derek Liu

CoRR, 2023

PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer.

Xu Han, Bin Guo, Yoon Jung, Benjamin Z. Yao, Yu Zhang, Xiaohu Liu, Chenlei Guo

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness.

Yichuan Li, Jialong Han, Kyumin Lee, Chengyuan Ma, Benjamin Z. Yao, Xiaohu Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Joint Goal Segmentation and Goal Success Prediction on Multi-Domain Conversations.

Meiguo Wang, Benjamin Z. Yao, Bin Guo, Xiaohu Liu, Yu Zhang, Tuan-Hung Pham, Chenlei Guo

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Feedback-Based Self-Learning in Large-Scale Conversational AI Agents.

Pragaash Ponnusamy, Alireza Roshan Ghias, Yi Yi, Benjamin Z. Yao, Chenlei Guo, Ruhi Sarikaya

AI Mag., 2021

2020

Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents.

Dookun Park, Hao Yuan, Dongmin Kim, Yinglei Zhang, Spyros Matsoukas, Young-Bum Kim, Ruhi Sarikaya, Edward Guo, Yuan Ling, Kevin Quinn, Pham Hung, Benjamin Z. Yao, Sungjin Lee

CoRR, 2020

IQ-Net: A DNN Model for Estimating Interaction-level Dialogue Quality with Conversational Agents.

Yuan Ling, Benjamin Z. Yao, Guneet Singh Kohli, Tuan-Hung Pham, Chenlei Guo

Proceedings of the KDD 2020 Workshop on Conversational Systems Towards Mainstream Adoption co-located with the 26TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2020), 2020

Knowledge Distillation from Internal Representations.

Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Z. Yao, Xing Fan, Chenlei Guo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Knowledge Distillation from Internal Representations.

Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Z. Yao, Xing Fan, Edward Guo

CoRR, 2019

2016

Compositional models and Structured learning for visual recognition.

Liang Lin, Jason J. Corso, Wangmeng Zuo, David Zhang, Benjamin Z. Yao

Pattern Recognit., 2016

2014

Animated Pose Templates for Modeling and Detecting Human Actions.

Benjamin Z. Yao, Bruce X. Nie, Zicheng Liu, Song-Chun Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2014

2013

Auto learning temporal atomic actions for activity classification.

Jiangen Zhang, Benjamin Z. Yao, Yongtian Wang

Pattern Recognit., 2013

Learning and parsing video events with goal and intent prediction.

Mingtao Pei, Zhangzhang Si, Benjamin Z. Yao, Song-Chun Zhu

Comput. Vis. Image Underst., 2013

2012

Reconfigurable templates for robust vehicle detection and classification.

Yang Lv, Benjamin Z. Yao, Yongtian Wang, Song-Chun Zhu

Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Modelling Atomic Actions for Activity Classification.

Jiangen Zhang, Benjamin Z. Yao, Yongtian Wang

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

2011

Inferring social roles in long timespan video sequence.

Jiangen Zhang, Wenze Hu, Benjamin Z. Yao, Yongtian Wang, Song-Chun Zhu

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Unsupervised learning of event AND-OR grammar and semantics from video.

Zhangzhang Si, Mingtao Pei, Benjamin Z. Yao, Song-Chun Zhu

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

I2T: Image Parsing to Text Description.

Benjamin Z. Yao, Xiong Yang, Liang Lin, Mun Wai Lee, Song Chun Zhu

Proc. IEEE, 2010

Action detection using multiple spatial-temporal interest point features.

Liangliang Cao, Yingli Tian, Zicheng Liu, Benjamin Z. Yao, Zhengyou Zhang, Thomas S. Huang

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

2009

Learning deformable action templates from cluttered videos.

Benjamin Z. Yao, Song Chun Zhu

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Image parsing with stochastic grammar: The Lotus Hill dataset and inference scheme.

Benjamin Z. Yao, Xiong Yang, Tianfu Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008

Learning a scene contextual model for tracking and abnormality detection.

Benjamin Z. Yao, Liang Wang, Song-Chun Zhu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

A hierarchical and contextual model for aerial image understanding.

Jake Porway, Kristy Wang, Benjamin Z. Yao, Song Chun Zhu

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks.

Benjamin Z. Yao, Xiong Yang, Song Chun Zhu

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007