Tsinghua University — CS Research

Computer science research from Tsinghua University, known for AI, computer vision, NLP, and systems research.

Sample of the collection (25 of 3,402 items)

• Nano Bifunctional Catalysts as Miniaturized Chemical Processes for CO _<i>x</i> -to-Aromatics Conversion Frontier Science Foundation conversion catalysts. Three representative strategies are highlighted: (i) engineering the activation-hydrogenation unit through…
• An ultralight, tiny, flexible six-axis force/torque sensor enables dexterous fingertip manipulations Tsinghua University Multi-dimensional mechanoreceptors are crucial for both humans and robots, providing omnidirectional force/torque senses to ensure…
• Bi-Level Transfer Learning for Lifelong-Intelligent Energy Management of Electric Vehicles Tsinghua University Automotive energy management systems (EMSs) are evolving to achieve intelligence across their entire lifecycle, from initial product…
• Explainable machine learning for multiscale thermal conductivity modeling in polymer nanocomposites with uncertainty quantification Bauhaus-Universität Weimar Graphene-based polymer nanocomposites show great potential for thermal management, but accurately predicting their thermal conductivity…
• TrafficFormer: An Efficient Pre-trained Model for Traffic Data Tsinghua University Traffic data contains deep domain-specific knowledge, making labeling challenging, and the lack of labeled data adversely impacts the…
• Aerodynamic optimization of wind turbine blades via surrogate-assisted deep reinforcement learning Inner Mongolia University of Technology This study employs the Soft Actor-Critic (SAC) deep reinforcement learning algorithm to optimize the aerodynamic performance of wind…
• ACBFT: Adaptive Chained Byzantine Fault-Tolerant Consensus Protocol for UAV Ad Hoc Networks Beihang University The integration of blockchain technology with uncrewed aerial vehicles (UAVs) presents significant potential, offering prospects for…
• An Efficient Scheduling Method in Supply Chain Logistics Based on Network Flow Ningbo University In the evolving digital landscape, network flow models have become integral to various sectors, including supply chain management. This…
• A multi-day and high-quality EEG dataset for motor imagery brain-computer interface Shanghai University A key challenge in developing a robust electroencephalography (EEG)-based brain-computer interface (BCI) is obtaining reliable…
• High‐Entropy Materials: from Bulk to Sub‐nano Tsinghua University Abstract High‐entropy materials (HEMs), characterized by their unique compositions involving multiple principal elements and inherent…
• Heterodimensional Structure Integrating Electromagnetic Functions and Hybrid Energy Storage to Drive Multifunctional Devices Beijing Institute of Technology Abstract Electronic devices are becoming portable, miniaturized, and high performance, and are more and more widely used in emerging…
• Global alignment reference strategy for laser interference lithography pattern arrays Tsinghua University Large-area gratings play a crucial role in various engineering fields. However, traditional interference lithography is limited by the…
• Motion–Force Interaction Performance of Parallel Robotic Mechanisms University of Duisburg-Essen ABSTRACT Parallel robotic mechanisms have emerged as a vital subfield in robotics science and engineering over the past few decades,…
• Scalable ultrathin solid electrolyte from recycled Antheraea pernyi silk with regulated ion transport for solid-state Li–S batteries Tsinghua–Berkeley Shenzhen Institute Ultrathin solid-state electrolytes (SSEs) with rapid Li + transport are ideal for developing high-energy-density all-solid-state lithium…
• Integrated scheduling of truck and drone fleets for cargo transportation in post-disaster relief: A two-stage stochastic optimization approach Beijing Jiaotong University • From the perspective of the transportation method, we propose an enhanced version of the traditional TSP-D method. • From the modeling…
• Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning Microsoft Research Asia (China) Abstract Accurately predicting battery lifetime in early cycles holds tremendous value in real-world applications. However, this task…
• Advanced carbon as emerging energy materials in lithium batteries: A theoretical perspective Tsinghua University Abstract Lithium batteries are becoming increasingly vital thanks to electric vehicles and large‐scale energy storage. Carbon materials…
• An intelligent hybrid-fabric wristband system enabled by thermal encapsulation for ergonomic human-machine interaction Tsinghua University Human-machine interaction has emerged as a revolutionary and transformative technology, bridging the gap between human and machine.…
• On-site biosignal amplification using a single high-spin conjugated polymer Peking University On-site or in-sensor biosignal transduction and amplification can offer several benefits such as improved signal quality, reduced…
• Recent advances in membrane and electrochemical hybrid technologies for emerging contaminants removal Asian Institute of Technology Emerging contaminants (ECs) pose significant risks to environmental and human health, necessitating advanced treatment technologies.…
• Deep Bayesian active learning using in-memory computing hardware Tsinghua University Labeling data is a time-consuming, labor-intensive and costly procedure for many artificial intelligence tasks. Deep Bayesian active…
• Computational optical imaging: on the convergence of physical and digital layers Z. W. Wang et al. Optical imaging has traditionally relied on hardware to fulfill its imaging function, producing output measures that mimic the original…
• The evolution of precision agriculture and food safety: a bibliometric study Hebei Finance University Introduction Food safety issues pose a significant threat to humanity. Precision agriculture leverages advanced technologies for…
• Robust Beamforming Design for Near-Field DMA-NOMA mmWave Communications With Imperfect Position Information University of Electronic Science and Technology of China For millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) communication systems, we propose an innovative near-field (NF)…
• From Single Atom Photocatalysts to Synergistic Photocatalysts: Design Principles and Applications Tsinghua University Abstract Photocatalysis represents a solar‐to‐chemical energy transformation process including three processes, light absorption, charge…

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