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Yunzhe Tao
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2020 – today
- 2024
- [c13]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: 300-314 - [c12]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: 485-492 - [c11]Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang:
DeVAn: Dense Video Annotation for Video-Language Models. ACL (1) 2024: 14305-14321 - [c10]Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang:
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. ICLR 2024 - [i19]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 abs/2403.01487 (2024) - [i18]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 abs/2403.07191 (2024) - [i17]Qihang Fan, Quanzeng You, Xiaotian Han, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang:
ViTAR: Vision Transformer with Any Resolution. CoRR abs/2403.18361 (2024) - [i16]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:
BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. CoRR abs/2410.00773 (2024) - 2023
- [c9]Liangwei Yang
, Shengjie Wang
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. WSDM 2023: 661-669 - [i15]Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. CoRR abs/2310.03173 (2023) - [i14]Yiren Jian, Tingkai Liu, Yunzhe Tao, Soroush Vosoughi, Hongxia Yang:
SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models. CoRR abs/2310.03291 (2023) - [i13]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 abs/2310.04991 (2023) - [i12]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 abs/2310.05060 (2023) - 2022
- [i11]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 abs/2211.10486 (2022) - 2021
- [c8]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: 18-28 - [c7]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: 125-130 - [c6]Yunzhe Tao, Sahika Genc, Jonathan Chung, Tao Sun, Sunil Mallya:
REPAINT: Knowledge Transfer in Deep Reinforcement Learning. ICML 2021: 10141-10152 - [i10]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 abs/2106.05830 (2021) - 2020
- [c5]Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun
DeepRacer: Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. ICRA 2020: 2746-2754 - [c4]Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar:
Robust Multi-Agent Reinforcement Learning with Model Uncertainty. NeurIPS 2020 - [i9]Sahika Genc, Sunil Mallya, Sravan Bodapati, Tao Sun, Yunzhe Tao:
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks. CoRR abs/2001.00605 (2020) - [i8]Yunzhe Tao, Sahika Genc, Tao Sun, Sunil Mallya:
REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning. CoRR abs/2011.11827 (2020)
2010 – 2019
- 2019
- [j2]Yunzhe Tao, Xiaochuan Tian
Nonlocal Models with Heterogeneous Localization and Their Application to Seamless Local-Nonlocal Coupling. Multiscale Model. Simul. 17(3): 1052-1075 (2019) - [i7]Yunzhe Tao, Saurabh Gupta, Satyapriya Krishna, Xiong Zhou, Orchid Majumder, Vineet Khare:
FineText: Text Classification via Attention-based Language Model Fine-tuning. CoRR abs/1910.11959 (2019) - [i6]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 abs/1911.01562 (2019) - 2018
- [c3]Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization. IJCAI 2018: 4453-4460 - [c2]Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu:
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling. NeurIPS 2018: 494-504 - [c1]Wenbo Guo
Explaining Deep Learning Models - A Bayesian Non-parametric Approach. NeurIPS 2018: 4519-4529 - [i5]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 abs/1805.03616 (2018) - [i4]Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu:
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling. CoRR abs/1806.00681 (2018) - [i3]Yunzhe Tao, Lin Ma, Weizhong Zhang, Jian Liu, Wei Liu, Qiang Du:
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction. CoRR abs/1806.00685 (2018) - [i2]Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin:
Explaining Deep Learning Models - A Bayesian Non-parametric Approach. CoRR abs/1811.03422 (2018) - [i1]Qi Sun, Yunzhe Tao, Qiang Du:
Stochastic Training of Residual Networks: a Differential Equation Viewpoint. CoRR abs/1812.00174 (2018) - 2017
- [j1]Yunzhe Tao, Xiaochuan Tian
Nonlocal diffusion and peridynamic models with Neumann type constraints and their numerical approximations. Appl. Math. Comput. 305: 282-298 (2017)
Coauthor Index
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