Yang Yu
19 papers in the PaperMetrix corpus
Papers by this author
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User Embedding for Scholarly Microblog Recommendation
2016 · Annual Meeting of the Association for Computational Linguistics
Nowadays, many scholarly messages are posted on Chinese microblogs and more and more researchers tend to find scholarly information on microblogs. In order to exploit microblogging to benefit scientific research, we propose a scholarly microblog …
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Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection
2018
Subset selection is a fundamental problem in many areas, which aims to select the best subset of size at most $k$ from a universe. Greedy algorithms are widely used for subset selection, and have shown …
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Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation
2018
Deep reinforcement learning has shown great potential in improving system performance autonomously, by learning from iterations with the environment. However, traditional reinforcement learning approaches are designed to work in static environments. In many real-world problems, …
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One-Sided Countermeasures for Side-Channel Attacks Can Backfire
2018
Side-channel attacks are currently one of the most powerful attacks against implementations of cryptographic algorithms. They exploit the correlation between the physical measurements (power consumption, electromagnetic emissions, timing) taken at different points during the computation …
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Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images
2019 · arXiv (Cornell University)
Goal: Squamous cell carcinoma of cervix is one of the most prevalent cancer worldwide in females. Traditionally, the most indispensable diagnosis of cervix squamous carcinoma is histopathological assessment which is achieved under microscope by pathologist. …
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Histopathologic Cancer Detection by Dense-Attention Network with Incorporation of Prior Knowledge
2020
To identify the cancerous region in histology Whole-Slide Images (WSI), the common approach is to apply a patch-level classifier. Appending surrounding tissues could improve the accuracy of patch-wise classification and maintain consistency of WSI. However, …
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Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning
2020 · arXiv (Cornell University)
Human judgments of word similarity have been a popular method of evaluating the quality of word embedding. But it fails to measure the geometry properties such as asymmetry. For example, it is more natural to …
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QPLEX: Duplex Dueling Multi-Agent Q-Learning
2020 · arXiv (Cornell University)
We explore value-based multi-agent reinforcement learning (MARL) in the popular paradigm of centralized training with decentralized execution (CTDE). CTDE has an important concept, Individual-Global-Max (IGM) principle, which requires the consistency between joint and local action …
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High-fidelity, high-scalability two-qubit gate scheme for superconducting qubits
2020 · arXiv (Cornell University)
High-quality two-qubit gate operations are crucial for scalable quantum information processing. Often, the gate fidelity is compromised when the system becomes more integrated. Therefore, a low-error-rate, easy-to-scale two-qubit gate scheme is highly desirable. Here, we …
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SLIMSTORE: A Cloud-based Deduplication System for Multi-version Backups
2021
Cloud backup is becoming the preferred way for users to support disaster recovery. In addition to its convenience, users are deeply concerned about reducing storage costs in the face of large-scale backup data. Data deduplication …
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Free-Space Phase-Matching Quantum Key Distribution
2021 · 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)
As a practical version of twin-field quantum key distribution (TF-QKD), phase-matching quantum key distribution (PM-QKD) is able to surpass the linear bound without quantum repeaters. Implementing PM-QKD through free space can guarantee two parties to …
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Invariant Action Effect Model for Reinforcement Learning
2022 · Proceedings of the AAAI Conference on Artificial Intelligence
Good representations can help RL agents perform concise modeling of their surroundings, and thus support effective decision-making in complex environments. Previous methods learn good representations by imposing extra constraints on dynamics. However, in the causal …
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Local Manifold Augmentation for Multiview Semantic Consistency
2022 · arXiv (Cornell University)
Multiview self-supervised representation learning roots in exploring semantic consistency across data of complex intra-class variation. Such variation is not directly accessible and therefore simulated by data augmentations. However, commonly adopted augmentations are handcrafted and limited …
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Research and application of power transformer technical standard retrieval algorithm based on knowledge graph
2022
In view of the difficulty in using unstructured text data and the shallow application of equipment knowledge in the process of transformer equipment operation inspection by power supply companies, this paper proposes a knowledge map …
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Virtualization Solution for Fast Storage Based on RoCE+P2P Technology in Heterogeneous Environment
2023
With the emergence of a large number of applications based on high-performance computing, such as VR/AR, intelligent voice interaction, automatic driving, and intelligent medical treatment, these applications have brought explosive growth of data and great …
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Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems
2023 · arXiv (Cornell University)
Long-term user engagement (LTE) optimization in sequential recommender systems (SRS) is shown to be suited by reinforcement learning (RL) which finds a policy to maximize long-term rewards. Meanwhile, RL has its shortcomings, particularly requiring a …
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MAG: A Novel Approach for Effective Anomaly Detection in Spacecraft Telemetry Data
2023 · IEEE Transactions on Industrial Informatics
Anomaly detection is a crucial matter to ensure the spacecraft stability. During the spacecraft operation, sensors and controllers generate a large volume of multidimensional time series telemetry data with long periodicity, and one key point …
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Noncyclic nonadiabatic geometric quantum gates in a superconducting circuit
2023 · Physical Review Applied
Quantum gates based on geometric phases possess intrinsic noise-resilience features and attract much attention. However, the implementations of previous geometric quantum computation typically require a long pulse time of gates. As a result, their experimental …
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Research on Medical Device Measurement and Inspection System Based on Big Data Analysis
2025 · Frontiers in Computing and Intelligent Systems
The accuracy and stability of medical equipment have a crucial impact on the diagnostic results and therapeutic effects of patients, so the measurement and testing technology of medical equipment has become particularly important. This thesis …