A Peridynamic Model of Fracture Mechanics with Bond-Breaking von Du, Qiang, Tao, Yunzhe, Tian, Xiaochuan

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Using a machine learning approach to determine the space group of a structure from the atomic pair distribution function von Liu, Chia-Hao, Tao, Yunzhe, Hsu, Daniel, Du, Qiang, Billinge, Simon J. L.

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Nonlocal diffusion and peridynamic models with Neumann type constraints and their numerical approximations von Tao, Yunzhe, Tian, Xiaochuan, Du, Qiang

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Nonlocal Models with Heterogeneous Localization and Their Application to Seamless Local-Nonlocal Coupling von Tao, Yunzhe, Tian, Xiaochuan, Du, Qiang

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Asymptotically compatible discretization of multidimensional nonlocal diffusion models and approximation of nonlocal Green’s functions von Du, Qiang, Tao, Yunzhe, Tian, Xiaochuan, Yang, Jiang

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Robust a posteriori stress analysis for quadrature collocation approximations of nonlocal models via nonlocal gradients von Du, Qiang, Tao, Yunzhe, Tian, Xiaochuan, Yang, Jiang

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DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation von Yang, Liangwei, Wang, Shengjie, Yunzhe Tao, Sun, Jiankai, Liu, Xiaolong, Yu, Philip S, Wang, Taiqing

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Explore the symmetry encoding in atomic pair distribution function (PDF) with convolutional neural network (CNN) von Liu, Chia-Hao, Tao, Yunzhe, Hsu, Daniel J., Du, Qiang, Billinge, Simon J. L.

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ViTAR: Vision Transformer with Any Resolution von Fan, Qihang, You, Quanzeng, Han, Xiaotian, Liu, Yongfei, Tao, Yunzhe, Huang, Huaibo, He, Ran, Yang, Hongxia

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mathbf{(N,K)}$-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model von Zhang, Yufeng, Chen, Liyu, Liu, Boyi, Yang, Yingxiang, Cui, Qiwen, Tao, Yunzhe, Yang, Hongxia

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Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling von Liu, Haogeng, Fan, Qihang, Liu, Tingkai, Yang, Linjie, Tao, Yunzhe, Huang, Huaibo, He, Ran, Yang, Hongxia

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REPAINT: Knowledge Transfer in Deep Reinforcement Learning von Tao, Yunzhe, Genc, Sahika, Chung, Jonathan, Sun, Tao, Mallya, Sunil

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Systems and methods for knowledge transfer in machine learning von Tao, Yunzhe, Sun, Tao, Genc, Sahika, Mallya Kasaragod, Sunil

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(\mathcal{B}\)-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis von Yu, Zishun, Yunzhe Tao, Chen, Liyu, Sun, Tao, Yang, Hongxia

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Stochastic Training of Residual Networks: a Differential Equation Viewpoint von Sun, Qi, Tao, Yunzhe, Du, Qiang

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Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks von Genc, Sahika, Mallya, Sunil, Bodapati, Sravan, Sun, Tao, Tao, Yunzhe

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SYSTEMS AND METHODS FOR KNOWLEDGE TRANSFER IN MACHINE LEARNING von Tao, Yunzhe, Sun, Tao, Genc, Sahika, Mallya Kasaragod, Sunil

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A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems von Wang, Dingmin, Chen, Ziyao, He, Wanwei, Zhong, Li, Tao, Yunzhe, Yang, Min

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DIVERSIFYING RECOMMENDATIONS BY IMPROVING EMBEDDING GENERATION OF A GRAPH NEURAL NETWORK MODEL von WANG, Shengjie, TAO, Yunzhe, YANG, Liangwei, SUN, Jiankai, WANG, Taiqing

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Explaining Deep Learning Models - A Bayesian Non-parametric Approach von Guo, Wenbo, Huang, Sui, Tao, Yunzhe, Xing, Xinyu, Lin, Lin

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