Search Results for author: Xingran Chen

Found 20 papers, 9 papers with code

Timely Requesting for Time-Critical Content Users in Decentralized F-RANs

no code implementations3 Jul 2024 Xingran Chen, Kai Li, Kun Yang

We study two general classes of policies: (i) oblivious policies, where decision-making is independent of historical information, and (ii) non-oblivious policies, where decisions are influenced by historical information.

Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks

no code implementations4 Apr 2024 Xingran Chen, Navid Naderializadeh, Alejandro Ribeiro, Shirin Saeedi Bidokhti

Our goal is to minimize time-average estimation error and/or age of information with decentralized scalable sampling and transmission policies, considering both oblivious (where decision-making is independent of the physical processes) and non-oblivious policies (where decision-making depends on physical processes).

Decision Making Graph Neural Network +1

Age of Computing: A Metric of Computation Freshness in Communication and Computation Cooperative Networks

no code implementations8 Mar 2024 Xingran Chen, Yusha Liu, Yali Zheng, Kun Yang

In this letter, we introduce the novel concept, Age of Computing (AoC), to capture computation freshness in 3CNs.

On the Effectiveness of Speech Self-supervised Learning for Music

no code implementations11 Jul 2023 Yinghao Ma, Ruibin Yuan, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Ruibo Liu, Gus Xia, Roger Dannenberg, Yike Guo, Jie Fu

Our findings suggest that training with music data can generally improve performance on MIR tasks, even when models are trained using paradigms designed for speech.

Information Retrieval Music Information Retrieval +2

TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module

no code implementations31 May 2023 Xingran Chen, Ge Zhang, Jie Fu

Due to Multilingual Neural Machine Translation's (MNMT) capability of zero-shot translation, many works have been carried out to fully exploit the potential of MNMT in zero-shot translation.

Position Translation

Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction

no code implementations24 May 2023 Wanyun Cui, Xingran Chen

Previous research has demonstrated that natural language explanations provide valuable inductive biases that guide models, thereby improving the generalization ability and data efficiency.

Computational Efficiency Relation +1

Free Lunch for Efficient Textual Commonsense Integration in Language Models

no code implementations24 May 2023 Wanyun Cui, Xingran Chen

One key observation is that the upper bound of batch partitioning can be reduced to the classic {\it graph k-cut problem}.

Containing a spread through sequential learning: to exploit or to explore?

no code implementations1 Mar 2023 Xingran Chen, Hesam Nikpey, Jungyeol Kim, Saswati Sarkar, Shirin Saeedi-Bidokhti

In this work, through an active learning approach, we design testing and isolation strategies to contain the spread and minimize the cumulative infections under a given test budget.

Active Learning

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective

1 code implementation2 Dec 2022 Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li

In this work, we reformulate the RNA secondary structure prediction as a K-Rook problem, thereby simplifying the prediction process into probabilistic matching within a finite solution space.

Instance-based Learning for Knowledge Base Completion

1 code implementation13 Nov 2022 Wanyun Cui, Xingran Chen

In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL).

Knowledge Base Completion

1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data

1 code implementation4 Nov 2022 Adam Nik, Ge Zhang, Xingran Chen, Mingyu Li, Jie Fu

This paper details our participation in the Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE) workshop @ EMNLP 2022, where we take part in Subtask 1 of Shared Task 3.

1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector

1 code implementation31 Oct 2022 Xingran Chen, Ge Zhang, Adam Nik, Mingyu Li, Jie Fu

In this paper, we present our approach and empirical observations for Cause-Effect Signal Span Detection -- Subtask 2 of Shared task 3~\cite{tan-etal-2022-event} at CASE 2022.

Data Augmentation Language Modelling +3

Open Rule Induction

2 code implementations NeurIPS 2021 Wanyun Cui, Xingran Chen

One weakness of the previous rule induction systems is that they only find rules within a knowledge base (KB) and therefore cannot generalize to more open and complex real-world rules.

Language Modelling Relation Extraction

Timely Broadcasting in Erasure Networks: Age-Rate Tradeoffs

no code implementations17 Feb 2021 Xingran Chen, Renpu Liu, Shaochong Wang, Shirin Saeedi Bidokhti

The interplay between timeliness and rate efficiency is investigated in packet erasure broadcast channels with feedback.

Information Theory Social and Information Networks Systems and Control Systems and Control Information Theory

Real-time Sampling and Estimation on Random Access Channels: Age of Information and Beyond

no code implementations7 Jul 2020 Xingran Chen, Xinyu Liao, Shirin Saeedi Bidokhti

It is shown that non-oblivious policies offer a multiplicative gain close to $3$ compared to oblivious policies.

Decision Making Scheduling

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