Yunzhe Tao

According to our database, Yunzhe Tao authored at least 30 papers between 2017 and 2024.

Collaborative distances:

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

2024

BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data.

Xuwu Wang, Qiwen Cui, Yunzhe Tao, Yiran Wang, Ziwei Chai, Xiaotian Han, Boyi Liu, Jianbo Yuan, Jing Su, Guoyin Wang, Tingkai Liu, Liyu Chen, Tianyi Liu, Tao Sun, Yufeng Zhang, Sirui Zheng, Quanzeng You, Yang Yang, Hongxia Yang

CoRR, 2024

ViTAR: Vision Transformer with Any Resolution.

Qihang Fan, Quanzeng You, Xiaotian Han, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang

CoRR, 2024

(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model.

Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang

CoRR, 2024

InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding.

Haogeng Liu, Quanzeng You, Xiaotian Han, Yiqi Wang, Bohan Zhai, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang

CoRR, 2024

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.

Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model.

Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

DeVAn: Dense Video Annotation for Video-Language Models.

Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction.

Yiren Jian, Tingkai Liu, Yunzhe Tao, Chunhui Zhang, Soroush Vosoughi, Hongxia Yang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Video-CSR: Complex Video Digest Creation for Visual-Language Models.

Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang

CoRR, 2023

Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling.

Haogeng Liu, Qihang Fan, Tingkai Liu, Linjie Yang, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang

CoRR, 2023

SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models.

Yiren Jian, Tingkai Liu, Yunzhe Tao, Soroush Vosoughi, Hongxia Yang

CoRR, 2023

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.

Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang

CoRR, 2023

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation.

Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2021

A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems.

Dingmin Wang, Ziyao Chen, Wanwei He, Li Zhong, Yunzhe Tao, Min Yang

CoRR, 2021

REPAINT: Knowledge Transfer in Deep Reinforcement Learning.

Yunzhe Tao, Sahika Genc, Jonathan Chung, Tao Sun, Sunil Mallya

Proceedings of the 38th International Conference on Machine Learning, 2021

Gated Transformer for Decoding Human Brain EEG Signals.

Yunzhe Tao, Tao Sun, Aashiq Muhamed, Sahika Genc, Dylan Jackson, Ali Arsanjani, Suri Yaddanapudi, Liang Li, Prachi Kumar

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems.

Dingmin Wang, Ziyao Chen, Wanwei He, Li Zhong, Yunzhe Tao, Min Yang

Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021

2020

REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning.

Yunzhe Tao, Sahika Genc, Tao Sun, Sunil Mallya

CoRR, 2020

Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks.

Sahika Genc, Sunil Mallya, Sravan Bodapati, Tao Sun, Yunzhe Tao

CoRR, 2020

Robust Multi-Agent Reinforcement Learning with Model Uncertainty.

Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

DeepRacer: Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning.

Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Nonlocal Models with Heterogeneous Localization and Their Application to Seamless Local-Nonlocal Coupling.

Yunzhe Tao, Xiaochuan Tian, Qiang Du

Multiscale Model. Simul., 2019

DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning.

Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy

CoRR, 2019

FineText: Text Classification via Attention-based Language Model Fine-tuning.

Yunzhe Tao, Saurabh Gupta, Satyapriya Krishna, Xiong Zhou, Orchid Majumder, Vineet Khare

CoRR, 2019

2018

Stochastic Training of Residual Networks: a Differential Equation Viewpoint.

Qi Sun, Yunzhe Tao, Qiang Du

CoRR, 2018

Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction.

Yunzhe Tao, Lin Ma, Weizhong Zhang, Jian Liu, Wei Liu, Qiang Du

CoRR, 2018

Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling.

Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Explaining Deep Learning Models - A Bayesian Non-parametric Approach.

Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization.

Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Nonlocal diffusion and peridynamic models with Neumann type constraints and their numerical approximations.

Yunzhe Tao, Xiaochuan Tian, Qiang Du

Appl. Math. Comput., 2017