no code implementations • 4 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).
no code implementations • 8 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.
no code implementations • 11 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.
1 code implementation • NeurIPS 2023 • Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Le Zhuo, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger Dannenberg, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu
This is evident in the limited work on deep music representations, the scarcity of large-scale datasets, and the absence of a universal and community-driven benchmark.
no code implementations • 31 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.
1 code implementation • 31 May 2023 • Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu
Although SSL has been proven effective in speech and audio, its application to music audio has yet to be thoroughly explored.
no code implementations • 24 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.
no code implementations • 24 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}.
1 code implementation • 20 May 2023 • Zhangyang Gao, Xingran Chen, Cheng Tan, Stan Z. Li
Is there a unified framework for graph-based retrosynthesis prediction?
no code implementations • 1 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.
no code implementations • 5 Dec 2022 • Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Chenghua Lin, Xingran Chen, Anton Ragni, Hanzhi Yin, Zhijie Hu, Haoyu He, Emmanouil Benetos, Norbert Gyenge, Ruibo Liu, Jie Fu
The deep learning community has witnessed an exponentially growing interest in self-supervised learning (SSL).
1 code implementation • 13 Nov 2022 • Wanyun Cui, Xingran Chen
In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL).
1 code implementation • 4 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.
1 code implementation • 31 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.
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.
1 code implementation • Findings (ACL) 2022 • Wanyun Cui, Xingran Chen
In this paper, we propose to use large-scale out-of-domain commonsense to enhance text representation.
no code implementations • 17 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
no code implementations • 7 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.