Search Results - "Xu, Renjun"

Retrosynthesis prediction with an iterative string editing model by Han, Yuqiang, Xu, Xiaoyang, Hsieh, Chang-Yu, Ding, Keyan, Xu, Hongxia, Xu, Renjun, Hou, Tingjun, Zhang, Qiang, Chen, Huajun

“…Retrosynthesis is a crucial task in drug discovery and organic synthesis, where artificial intelligence (AI) is increasingly employed to expedite the process…”
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A Deep‐Learning Approach for Low‐Spatial‐Coherence Imaging in Computer‐Generated Holography by Tong, Xin, Xu, Renjun, Liu, Ke, Zhao, Liangliang, Zhu, Weilai, Zhao, Daomu

“…The low‐spatial‐coherence imaging capability of computer‐generated holography (CGH) is a key to high‐resolution displays, virtual reality, augmented reality,…”
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Effects of Bentonite Activation Methods on Chitosan Loading Capacity by Yu, Tao, Qu, Chengtun, Fan, Daidi, Xu, Renjun

“…The adsorption capacity of bentonite clay for heavy metal removal from wastewater can be significantly enhanced by a high loading of chitosan on the surface…”
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The influence of scan length on fabricating thin-walled components in selective laser melting by Li, Zhonghua, Xu, Renjun, Zhang, Zhengwen, Kucukkoc, Ibrahim

“…As one of the advanced additive manufacturing (AM) processes, the selective laser melting (SLM) process provides the possibility of manufacturing almost any…”
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Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation by Xu, Renjun, Liu, Pelen, Wang, Liyan, Chen, Chao, Wang, Jindong

“…Recently, extensive researches have been proposed to address the UDA problem, which aims to learn transferrable models for the unlabeled target domain. Among…”
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Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation by Zheng, Xiaolin, Wang, Menghan, Xu, Renjun, Li, Jianmeng, Wang, Yan

“…Implicit feedback is widely used in collaborative filtering methods for sequential recommendation. It is well known that implicit feedback contains a large…”
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Offline prompt polishing for low quality instructions by Yu, Jia, Zhou, Zhanchao, Li, Long, Li, Ling, Yan, Yuming, Xu, Renjun, Lan, Zhenzhong

“…Instruction-tuning is an effective avenue for making large language models (LLMs) better at following real users’ instructions. However, it is challenging in…”
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Personalized Federated Learning with Adaptive Batchnorm for Healthcare by Lu, Wang, Wang, Jindong, Chen, Yiqiang, Qin, Xin, Xu, Renjun, Dimitriadis, Dimitrios, Qin, Tao

“…There is a growing interest in applying machine learning techniques to healthcare. Recently, federated machine learning (FL) is gaining popularity since it…”
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Polyphenylene oxide/boron nitride–alumina hybrid composites with high thermal conductivity, low thermal expansion and ultralow dielectric loss by Xu, Jie, Xu, Renjun, Wang, Zeru, Fang, Zeming, Zhu, Xiaotao, Meng, Yeqiao, Liu, Qianfa, Wang, Ke

“…Traditional integrated circuit (IC) packaging materials and printed circuit board substrate materials suffer from several limitations including low thermal…”
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Hierarchical knowledge amalgamation with dual discriminative feature alignment by Xu, Renjun, Liang, Shuoying, Wen, Lanyu, Guo, Zhitong, Huang, Xinyue, Song, Mingli, Wang, Jindong, Xu, Xiaoxiao, Chen, Huajun

“…Heterogeneous Knowledge Amalgamation (HKA) algorithms attempt to learn a versatile and lightweight student neural network from multiple pre-trained…”
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Integral invariants in flat superspace by Xu, Renjun, Movshev, Michael, Schwarz, Albert

“…We are solving for the case of flat superspace some homological problems that were formulated by Berkovits and Howe. (Our considerations can be applied also to…”
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Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition by Hou, Wenxin, Zhu, Han, Wang, Yidong, Wang, Jindong, Qin, Tao, Xu, Renjun, Shinozaki, Takahiro

“…Cross-lingual speech adaptation aims to solve the problem of leveraging multiple rich-resource languages to build models for a low-resource target language…”
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Harnessing the magic of light: spatial coherence instructed swin transformer for universal holographic imaging by Tong, Xin, Xu, Renjun, Xu, Pengfei, Zeng, Zishuai, Liu, Shuxi, Zhao, Daomu

“…Holographic imaging poses significant challenges when facing real-time disturbances introduced by dynamic environments. The existing deep-learning methods for…”
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Homology of Lie algebra of supersymmetries and of super Poincaré Lie algebra by Movshev, M.V., Schwarz, A., Xu, Renjun

“…We study the homology and cohomology groups of super Lie algebras of supersymmetries and of super Poincaré Lie algebras in various dimensions. We give complete…”
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Detection of hypomimia in patients with Parkinson's disease via smile videos by Su, Ge, Lin, Bo, Yin, Jianwei, Luo, Wei, Xu, Renjun, Xu, Jie, Dong, Kexiong

“…Parkinson's disease (PD) is a neurodegenerative disease characterized by the impairment of facial expression, known as hypomimia. Hypomimia has serious impacts…”
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Weierstrass cycles and tautological rings in various moduli spaces of algebraic curves by Liou, Jia-Ming (Frank), Schwarz, Albert, Xu, Renjun

“…We analyze Weierstrass cycles and tautological rings in moduli spaces of smooth algebraic curves and in moduli spaces of integral algebraic curves with…”
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Cohomological Problems arising in Quantum Field Theory and String Theory by Xu, Renjun

“…This dissertation is devoted to the solution of some cohomological problems arising in supersymmetric field theories and in superstring theory. It is clear now…”
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S2SNet: A Pretrained Neural Network for Superconductivity Discovery by Liu, Ke, Yang, Kaifan, Zhang, Jiahong, Xu, Renjun

“…Superconductivity allows electrical current to flow without any energy loss, and thus making solids superconducting is a grand goal of physics, material…”
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E(2)$-Equivariant Vision Transformer by Xu, Renjun, Yang, Kaifan, Liu, Ke, He, Fengxiang

“…Vision Transformer (ViT) has achieved remarkable performance in computer vision. However, positional encoding in ViT makes it substantially difficult to learn…”
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Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas by Hu, Xiang, Fu, Hongyu, Wang, Jinge, Wang, Yifeng, Li, Zhikun, Xu, Renjun, Lu, Yu, Jin, Yaochu, Pan, Lili, Lan, Zhenzhong

“…Scientific innovation is pivotal for humanity, and harnessing large language models (LLMs) to generate research ideas could transform discovery. However,…”
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