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Yunzhe Tao
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 32
Top Topics
Language Model
Neural Network
Knowledge Transfer
Reinforcement Learning
Top Venues
CoRR
NeurIPS
ICRA
ACL (Findings)
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Publications
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Zishun Yu
,
Yunzhe Tao
,
Liyu Chen
,
Tao Sun
,
Hongxia Yang
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.
ICLR
(2024)
Yufeng Zhang
,
Liyu Chen
,
Boyi Liu
,
Yingxiang Yang
,
Qiwen Cui
,
Yunzhe Tao
,
Hongxia Yang
(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model.
CoRR
(2024)
Haogeng Liu
,
Quanzeng You
,
Xiaotian Han
,
Yiqi Wang
,
Bohan Zhai
,
Yongfei Liu
,
Yunzhe Tao
,
Huaibo Huang
,
Ran He
,
Hongxia Yang
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding.
CoRR
(2024)
Qihang Fan
,
Quanzeng You
,
Xiaotian Han
,
Yongfei Liu
,
Yunzhe Tao
,
Huaibo Huang
,
Ran He
,
Hongxia Yang
ViTAR: Vision Transformer with Any Resolution.
CoRR
(2024)
Yiren Jian
,
Tingkai Liu
,
Yunzhe Tao
,
Chunhui Zhang
,
Soroush Vosoughi
,
Hongxia Yang
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction.
ACL (1)
(2024)
Haogeng Liu
,
Quanzeng You
,
Yiqi Wang
,
Xiaotian Han
,
Bohan Zhai
,
Yongfei Liu
,
Wentao Chen
,
Yiren Jian
,
Yunzhe Tao
,
Jianbo Yuan
,
Ran He
,
Hongxia Yang
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model.
ACL (Findings)
(2024)
Tingkai Liu
,
Yunzhe Tao
,
Haogeng Liu
,
Qihang Fan
,
Ding Zhou
,
Huaibo Huang
,
Ran He
,
Hongxia Yang
Video-CSR: Complex Video Digest Creation for Visual-Language Models.
CoRR
(2023)
Liangwei Yang
,
Shengjie Wang
,
Yunzhe Tao
,
Jiankai Sun
,
Xiaolong Liu
,
Philip S. Yu
,
Taiqing Wang
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation.
WSDM
(2023)
Yiren Jian
,
Tingkai Liu
,
Yunzhe Tao
,
Soroush Vosoughi
,
Hongxia Yang
SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models.
CoRR
(2023)
Haogeng Liu
,
Qihang Fan
,
Tingkai Liu
,
Linjie Yang
,
Yunzhe Tao
,
Huaibo Huang
,
Ran He
,
Hongxia Yang
Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling.
CoRR
(2023)
Zishun Yu
,
Yunzhe Tao
,
Liyu Chen
,
Tao Sun
,
Hongxia Yang
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.
CoRR
(2023)
Liangwei Yang
,
Shengjie Wang
,
Yunzhe Tao
,
Jiankai Sun
,
Xiaolong Liu
,
Philip S. Yu
,
Taiqing Wang
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation.
CoRR
(2022)
Yunzhe Tao
,
Tao Sun
,
Aashiq Muhamed
,
Sahika Genc
,
Dylan Jackson
,
Ali Arsanjani
,
Suri Yaddanapudi
,
Liang Li
,
Prachi Kumar
Gated Transformer for Decoding Human Brain EEG Signals.
EMBC
(2021)
Yunzhe Tao
,
Sahika Genc
,
Jonathan Chung
,
Tao Sun
,
Sunil Mallya
REPAINT: Knowledge Transfer in Deep Reinforcement Learning.
ICML
(2021)
Dingmin Wang
,
Ziyao Chen
,
Wanwei He
,
Li Zhong
,
Yunzhe Tao
,
Min Yang
A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems.
CoRR
(2021)
Dingmin Wang
,
Ziyao Chen
,
Wanwei He
,
Li Zhong
,
Yunzhe Tao
,
Min Yang
A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems.
DialDoc@ACL-IJCNLP
(2021)
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
DeepRacer: Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning.
ICRA
(2020)
Kaiqing Zhang
,
Tao Sun
,
Yunzhe Tao
,
Sahika Genc
,
Sunil Mallya
,
Tamer Basar
Robust Multi-Agent Reinforcement Learning with Model Uncertainty.
NeurIPS
(2020)
Sahika Genc
,
Sunil Mallya
,
Sravan Bodapati
,
Tao Sun
,
Yunzhe Tao
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks.
CoRR
(2020)
Yunzhe Tao
,
Sahika Genc
,
Tao Sun
,
Sunil Mallya
REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning.
CoRR
(2020)
Yunzhe Tao
,
Xiaochuan Tian
,
Qiang Du
Nonlocal Models with Heterogeneous Localization and Their Application to Seamless Local-Nonlocal Coupling.
Multiscale Model. Simul.
17 (3) (2019)
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
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning.
CoRR
(2019)
Yunzhe Tao
,
Saurabh Gupta
,
Satyapriya Krishna
,
Xiong Zhou
,
Orchid Majumder
,
Vineet Khare
FineText: Text Classification via Attention-based Language Model Fine-tuning.
CoRR
(2019)
Yunzhe Tao
,
Lin Ma
,
Weizhong Zhang
,
Jian Liu
,
Wei Liu
,
Qiang Du
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction.
CoRR
(2018)
Yunzhe Tao
,
Qi Sun
,
Qiang Du
,
Wei Liu
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling.
NeurIPS
(2018)
Wenbo Guo
,
Sui Huang
,
Yunzhe Tao
,
Xinyu Xing
,
Lin Lin
Explaining Deep Learning Models - A Bayesian Non-parametric Approach.
CoRR
(2018)
Li Wang
,
Junlin Yao
,
Yunzhe Tao
,
Li Zhong
,
Wei Liu
,
Qiang Du
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization.
CoRR
(2018)
Wenbo Guo
,
Sui Huang
,
Yunzhe Tao
,
Xinyu Xing
,
Lin Lin
Explaining Deep Learning Models - A Bayesian Non-parametric Approach.
NeurIPS
(2018)
Qi Sun
,
Yunzhe Tao
,
Qiang Du
Stochastic Training of Residual Networks: a Differential Equation Viewpoint.
CoRR
(2018)
Li Wang
,
Junlin Yao
,
Yunzhe Tao
,
Li Zhong
,
Wei Liu
,
Qiang Du
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization.
IJCAI
(2018)
Yunzhe Tao
,
Qi Sun
,
Qiang Du
,
Wei Liu
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling.
CoRR
(2018)
Yunzhe Tao
,
Xiaochuan Tian
,
Qiang Du
Nonlocal diffusion and peridynamic models with Neumann type constraints and their numerical approximations.
Appl. Math. Comput.
305 (2017)