A5101734731- Advanced Mathematical Identities
- Logic, Reasoning, and Knowledge
- Multi-Agent Systems and Negotiation
- Advanced Combinatorial Mathematics
- Semantic Web and Ontologies
- Advanced Mathematical Theories and Applications
- Mathematical functions and polynomials
- Analytic Number Theory Research
- Advanced Mathematical Theories
- Topic Modeling
- Bayesian Modeling and Causal Inference
- Advanced Algebra and Logic
- Domain Adaptation and Few-Shot Learning
- graph theory and CDMA systems
- Coding theory and cryptography
- Logic, programming, and type systems
- Mathematics and Applications
- Machine Learning and Data Classification
- Multimodal Machine Learning Applications
- Advanced Topics in Algebra
- Matrix Theory and Algorithms
- Radio Frequency Integrated Circuit Design
- Web Data Mining and Analysis
- Data Quality and Management
- Text and Document Classification Technologies
Southeast University
2015-2024
Microsoft Research Asia (China)
2024
Nanjing Medical University
2022-2023
Luoyang Normal University
2010-2023
Microsoft Research (United Kingdom)
2021-2023
Nanchang Institute of Technology
2022
Henan Normal University
2015-2022
Changchun University of Science and Technology
2021-2022
University of Bolton
2022
Southeast University
2011-2020
Excessive activation of the nuclear enzyme, poly(ADP-ribose) polymerase-1 (PARP-1) plays a prominent role in various models cellular injury. Here, we identify (PAR) polymer, product PARP-1 activity, as previously uncharacterized cell death signal. PAR polymer is directly toxic to neurons, and degradation by glycohydrolase (PARG) or phosphodiesterase 1 prevents polymer-induced death. PARP-1-dependent, NMDA excitotoxicity cortical neurons reduced neutralizing antibodies overexpression PARG....
Improving the generalization ability of Deep Neural Networks (DNNs) is critical for their practical uses, which has been a longstanding challenge. Some theoretical studies have uncovered that DNNs preferences some frequency components in learning process and indicated this may affect robustness learned features. In paper, we propose Frequency Filtering (DFF)for domain-generalizable features, first endeavour to explicitly modulate different transfer difficulties across domains latent space...
Although male sex is a well-recognized risk factor for stroke, the role of androgens in cerebral ischemia remains unclear. Therefore, we evaluated effects testosterone on infarct size both young adult and middle-aged rats (Wistar, 3-month versus 14-month old) mice (C57/BL6, 12-month subjected to middle artery occlusion. In groups, castrates displayed less ischemic damage as compared with intact males replacement (Cortex: 24% 42% 40% testosterone; Striatum: 45% 73% 70%) at 22 h reperfusion....
Automated, high-throughput, and long-term cell laser detection was demonstrated by the integration of microwell arrays Fabry–Pérot cavities.
Unsupervised domain adaptive classifcation intends to improve the performance on unlabeled target domain. To alleviate adverse effect of shift, many approaches align source and domains in feature space. However, a is usually taken as whole for alignment without explicitly making proactively serve task, leading sub-optimal solution. In this paper, we propose an effective Task-oriented Alignment (ToAlign) unsupervised adaptation (UDA). We study what features should be aligned across make by...
For deep reinforcement learning (RL) from pixels, effective state representations is crucial for achieving high performance. However, in practice, limited experience and high-dimensional inputs prevent representation learning. To address this, motivated by the success of mask-based modeling other research fields, we introduce reconstruction to promote RL. Specifically, propose a simple yet self-supervised method, Mask-based Latent Reconstruction (MLR), predict complete latent space...
Data augmentation (DA) has been extensively studied to facilitate model optimization in many tasks. Prior DA works focus on designing operations themselves, while leaving selecting suitable samples for out of consideration. This might incur visual ambiguities and further induce training biases. In this paper, we propose an effective approach, dubbed SelectAugment, select a deterministic online manner based the sample contents network status. To policy learning, each batch, exploit hierarchy...
As an indispensable part of public transportation systems, the bike-sharing system (BSS) can improve road resource utilization and alleviate traffic congestion, significantly improving urban mobility. The disproportion between demand supply creates a giant gap for maintaining smooth functioning system. To address issue, this paper proposes dynamic optimization rebalancing model docked which aims at minimizing operation cost while maximizing user satisfaction. is evaluated using both...
Learning good feature representations is important for deep reinforcement learning (RL). However, with limited experience, RL often suffers from data inefficiency training. For un-experienced or less-experienced trajectories (i.e., state-action sequences), the lack of limits use them better learning. In this work, we propose a novel method, dubbed PlayVirtual, which augments cycle-consistent virtual to enhance efficiency representation Specifically, PlayVirtual predicts future states in...
VS-505 (AP301), an acacia and ferric oxyhydroxide polymer, is a novel fiber-iron-based phosphate binder. This two-part Phase 2 study evaluated the tolerability, safety efficacy of oral administered three times daily with meals in treating hyperphosphatemia chronic kidney disease (CKD) patients receiving maintenance hemodialysis (MHD).
The purpose of this paper is to establish several identities involving the partial Bell polynomials by using generating function. These results generalize some Yang in ”Discrete Math., 308(2008)” and Abbas Bouroubi 293(2005)”. Some applications are given.
This work presents silicon reliability characterization of Intel’s Foveros three-dimensional (3D) logic-on-logic stacking technology implemented on the 22FFL process node. Simulations and data demonstrate mechanical strain safe zones around Through Silicon Vias (TSVs). Evaluations TSV impact transistor, interconnect, defect are reported with a Si focus. bump architectures pass thermomechanical assessments final optimized flow. 3D is shown to exhibit robust reliability.
The purpose of this study is to establish an expressions formula sums products the degenerate Bernoulli numbers in terms numbers.
In this paper, we propose a simultaneous covering inductive logic programming approach RPBL (relational paths-based learning). It uses relational paths as explanations for positive training examples to overcome the explosion problem existed in standard programming. benefits greatly from strategy, and avoids local maxima plateaus. Experimental results show that it not only performs better than approaches such FOIL, but also some state-of-the-art approaches.
PDF HTML阅读 XML下载 导出引用 引用提醒 一种基于可变多簇结构的动态概率粒子群优化算法 DOI: 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: Supported by the National Natural Science Foundation of China under Grant No.90412014 (国家自然科学基金) Dynamic Probabilistic Particle Swarm Optimization Based on Varying Multi-Cluster Structure Author: Affiliation: Fund Project: 摘要 | 图/表 访问统计 参考文献 相似文献 引证文献 资源附件 文章评论...