Nonlocal diffusion and peridynamic models with Neumann type constraints and their numerical approximations. - Yunzhe Tao; Xiaochuan Tian; Qiang Du 001 (Appl. Math. Comput., 2017)

A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization. - Li Wang 092; Junlin Yao; Yunzhe Tao; Li Zhong; Wei Liu 005; Qiang Du 001 (IJCAI, 2018)

Explaining Deep Learning Models - A Bayesian Non-parametric Approach. - Wenbo Guo 002; Sui Huang; Yunzhe Tao; Xinyu Xing 001; Lin Lin 003 (NeurIPS, 2018)

Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling. - Yunzhe Tao; Qi Sun; Qiang Du 001; Wei Liu 005 (NeurIPS, 2018)

Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction. - Yunzhe Tao; Lin Ma 002; Weizhong Zhang; Jian Liu; Wei Liu 005; Qiang Du 001 (CoRR, 2018)

Stochastic Training of Residual Networks: a Differential Equation Viewpoint. - Qi Sun; Yunzhe Tao; Qiang Du 001 (CoRR, 2018)

FineText: Text Classification via Attention-based Language Model Fine-tuning. - Yunzhe Tao; Saurabh Gupta; Satyapriya Krishna; Xiong Zhou; Orchid Majumder; Vineet Khare (CoRR, 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 008; Yunzhe Tao; Brian Townsend; Eddie Calleja; Sunil Muralidhara; et al. (CoRR, 2019)

Nonlocal Models with Heterogeneous Localization and Their Application to Seamless Local-Nonlocal Coupling. - Yunzhe Tao; Xiaochuan Tian; Qiang Du 001 (Multiscale Model. Simul., 2019)

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 008; Yunzhe Tao; Brian Townsend; Eddie Calleja; Sunil Muralidhara; et al. (ICRA, 2020)

Robust Multi-Agent Reinforcement Learning with Model Uncertainty. - Kaiqing Zhang; Tao Sun 008; Yunzhe Tao; Sahika Genc; Sunil Mallya; Tamer Basar (NeurIPS, 2020)

Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks. - Sahika Genc; Sunil Mallya; Sravan Bodapati; Tao Sun 008; Yunzhe Tao (CoRR, 2020)

REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning. - Yunzhe Tao; Sahika Genc; Tao Sun; Sunil Mallya (CoRR, 2020)

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 007 (DialDoc@ACL-IJCNLP, 2021)

Gated Transformer for Decoding Human Brain EEG Signals. - Yunzhe Tao; Tao Sun 008; Aashiq Muhamed; Sahika Genc; Dylan Jackson; Ali Arsanjani; Suri Yaddanapudi; Liang Li; Prachi Kumar (EMBC, 2021)

REPAINT: Knowledge Transfer in Deep Reinforcement Learning. - Yunzhe Tao; Sahika Genc; Jonathan Chung 001; Tao Sun 008; Sunil Mallya (ICML, 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 007 (CoRR, 2021)

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. - Liangwei Yang; Shengjie Wang 001; Yunzhe Tao; Jiankai Sun; Xiaolong Liu; Philip S. Yu; Taiqing Wang (WSDM, 2023)

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. - Zishun Yu; Yunzhe Tao; Liyu Chen; Tao Sun 008; 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)

Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling. - Haogeng Liu; Qihang Fan; Tingkai Liu; Linjie Yang; Yunzhe Tao; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 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 001; Hongxia Yang (CoRR, 2023)

Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction. - Yiren Jian; Tingkai Liu; Yunzhe Tao; Chunhui Zhang; Soroush Vosoughi; Hongxia Yang (ACL (1), 2024)

DeVAn: Dense Video Annotation for Video-Language Models. - Tingkai Liu; Yunzhe Tao; Haogeng Liu; Qihang Fan; Ding Zhou; Huaibo Huang; Ran He 001; Hongxia Yang (ACL (1), 2024)

InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. - Haogeng Liu; Quanzeng You; Yiqi Wang 004; Xiaotian Han; Bohan Zhai; Yongfei Liu; Wentao Chen; Yiren Jian; Yunzhe Tao; Jianbo Yuan; Ran He 001; Hongxia Yang (ACL (Findings), 2024)

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. - Zishun Yu; Yunzhe Tao; Liyu Chen; Tao Sun; Hongxia Yang (ICLR, 2024)

InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding. - Haogeng Liu; Quanzeng You; Xiaotian Han; Yiqi Wang 004; Bohan Zhai; Yongfei Liu; Yunzhe Tao; Huaibo Huang; Ran He 001; 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)

ViTAR: Vision Transformer with Any Resolution. - Qihang Fan; Quanzeng You; Xiaotian Han; Yongfei Liu; Yunzhe Tao; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 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 002; Tingkai Liu; Liyu Chen; et al. (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)