Xiao Liu
16 papers in the PaperMetrix corpus
Papers by this author
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An Algorithm for Finding the Minimum Cost of Storing and Regenerating Datasets in Multiple Clouds
2015 · IEEE Transactions on Cloud Computing
The proliferation of cloud computing allows users to flexibly store, re-compute or transfer large generated datasets with multiple cloud service providers. However, due to the pay-as-you-go model, the total cost of using cloud services depends …
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Jointly Learning Entity and Relation Representations for Entity Alignment
2019
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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Selective Expression For Event Coreference Resolution on Twitter
2019
With the growth in popularity and size of social media, there is an urgent need for systems that can recognize the coreference relation between two event mentions in texts from social media. In existing event …
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New 5-Step Discrete-Time Zeroing Neuronet for Time-Dependent Matrix Square Root Finding
2019
In this paper, for the purpose of finding square root of a time-dependent matrix, a new discrete-time zeroing neuronet (DTZN) is proposed. Firstly, the problem of square root finding of time-dependent matrix is formulated. Then, …
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A Self-supervised Method for Entity Alignment
2021 · arXiv (Cornell University)
Entity alignment, aiming to identify equivalent entities across different knowledge graphs (KGs), is a fundamental problem for constructing large-scale KGs. Over the course of its development, supervision has been considered necessary for accurate alignments. Inspired …
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P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks
2022
Prompt tuning, which only tunes continuous prompts with a frozen language model, substantially reduces per-task storage and memory usage at training. However, in the context of NLU, prior work reveals that prompt tuning does not …
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SummIt: Iterative Text Summarization via ChatGPT
2023 · arXiv (Cornell University)
Text summarization systems have made significant progress in recent years, but typically generate summaries in one single step. However, the one-shot summarization setting is sometimes inadequate, as the generated summary may contain hallucinations or overlook …
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Optimizing Performance in Federated Person Re-Identification through Benchmark Evaluation for Blockchain-Integrated Smart UAV Delivery Systems
2023 · Drones
In recent years, edge-based intelligent UAV delivery systems have attracted significant interest from both the academic and industrial sectors. One key obstacle faced by these smart UAV delivery systems is data privacy, as they rely …
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A privacy-preserving location data collection framework for intelligent systems in edge computing
2024 · Ad Hoc Networks
With the rise of smart city applications, the accessibility of users’ location data by smart devices has increased significantly. However, this poses a privacy concern as attackers can deduce personal information from the raw location …
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SPA: A poisoning attack framework for graph neural networks through searching and pairing
2025 · Machine Learning
Graph Neural Networks (GNN) have played an important role in many fields, while GNNs also suffer from adversarial attacks that aim to malfunction the GNN model by changing the adjacency matrix (i.e. generating adversarial edges) …
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BEVMamba: Time Sequence Dense Bird’s-Eye-View Perception Modeling With State Space Model
2025 · IEEE Transactions on Intelligent Transportation Systems
BEV-based 3D perception with multi-frame images input is crucial for autonomous driving. However, current methods for temporal BEV perception fail to fully utilize long sequence features because of local fusion or high complexity. Recently, Mamba, …
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Hybrid knowledge reasoning over knowledge hypergraph: Inductive, deductive, and abductive
2026 · Journal of Electronic Science and Technology
Traditional knowledge reasoning methods, which are predominantly reliant on static rules and structured data, often struggle to adapt to the ambiguity and dynamic evolution of real-world scenarios. To overcome these limitations, this study proposes a …
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Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
2018
Event extraction is of practical utility in natural language processing. In the real world, it is a common phenomenon that multiple events existing in the same sentence, where extracting them are more difficult than extracting …
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P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
2021 · arXiv (Cornell University)
Prompt tuning, which only tunes continuous prompts with a frozen language model, substantially reduces per-task storage and memory usage at training. However, in the context of NLU, prior work reveals that prompt tuning does not …
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GLM: General Language Model Pretraining with Autoregressive Blank Infilling
2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.