1 code implementation • CoNLL (EMNLP) 2021 • Shisong Chen, Binbin Gu, Jianfeng Qu, Zhixu Li, An Liu, Lei Zhao, Zhigang Chen
Zero pronoun resolution aims at recognizing dropped pronouns and pointing out their anaphoric mentions, while non-zero coreference resolution targets at clustering mentions referring to the same entity.
no code implementations • 6 Feb 2023 • Wenkang Xu, Yongbo Xiao, An Liu, MinJian Zhao
A location domain channel modeling method is proposed based on the position of targets and scatterers in the scattering environment, and the resulting radar and communication channels exhibit a two-dimensional (2-D) joint burst sparsity.
no code implementations • 3 Feb 2023 • Wenkang Xu, Yongbo Xiao, An Liu, MinJian Zhao
A location domain channel modeling method is proposed based on the position of targets and scatterers in the scattering environment, and the resulting radar and communication channels exhibit a partially common sparsity.
1 code implementation • 1 Dec 2022 • Shaohui Zheng, Zhixu Li, Jiaan Wang, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen
Cross-Lingual Summarization (CLS) aims at generating summaries in one language for the given documents in another language.
no code implementations • 21 Jul 2022 • Yubo Wan, An Liu, Rui Du, Tony Xiao Han
Then, a metric called the statistical resolution limit (SRL) that provides a resolution limit is employed to investigate the fundamental limits of delay resolution.
no code implementations • 21 Jul 2022 • Zhixiang Hu, An Liu, Yubo Wan, Tony Xiao Han, MinJian Zhao
To cope with this challenge, we divide the radar target parameter estimation into two stages equipped with different but equivalent signal models, where the first-stage coarse estimation is used to narrow down the search range for the next stage, and the second-stage refined estimation is based on the Bayesian approach to avoid the convergence to a bad local optimum of the likelihood function.
no code implementations • 17 Jul 2022 • Yanzhen Liu, Yunlong Cai, An Liu, MinJian Zhao, Lajos Hanzo
Mobile edge computing (MEC) and millimeter wave (mmWave) communications are capable of significantly reducing the network's delay and enhancing its capacity.
1 code implementation • 17 Jul 2022 • Kexin Wang, Zhixu Li, Jiaan Wang, Jianfeng Qu, Ying He, An Liu, Lei Zhao
Nevertheless, the correlations between knowledge implied in the multi-turn context and the transition regularities between relations in KGs are under-explored.
no code implementations • 20 Jun 2022 • Yubo Wan, An Liu, Qiyu Hu, Mianyi Zhang, Yunlong Cai
In the coarse stage, we exploit the group sparsity structure of the multiband channel and propose a Turbo Bayesian inference (Turbo-BI) algorithm to achieve a good initial delay estimation based on a coarse signal model, which is transformed from the original multiband signal model by absorbing the carrier frequency terms.
no code implementations • 11 Mar 2022 • Yi Wei, Ming-Min Zhao, An Liu, Min-Jian Zhao
Based on the proposed transmission protocol, we propose a two-stage channel tracking and prediction (2SCTP) scheme to obtain the direct and reflected channels with low channel training overhead, which is achieved by exploiting the temporal correlation of the time-varying channels.
1 code implementation • 29 Jan 2022 • Jiaan Wang, Beiqi Zou, Zhixu Li, Jianfeng Qu, Pengpeng Zhao, An Liu, Lei Zhao
Story ending generation is an interesting and challenging task, which aims to generate a coherent and reasonable ending given a story context.
1 code implementation • 24 Nov 2021 • Jiaan Wang, Zhixu Li, Tingyi Zhang, Duo Zheng, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen
Additionally, we also introduce a knowledge-enhanced summarizer that utilizes both live commentaries and the knowledge to generate sports news.
1 code implementation • 26 May 2021 • Chang Tian, An Liu, Guang Huang, Wu Luo
We propose a successive convex approximation based off-policy optimization (SCAOPO) algorithm to solve the general constrained reinforcement learning problem, which is formulated as a constrained Markov decision process (CMDP) in the context of average cost.
no code implementations • 5 May 2021 • An Liu, Rui Yang, Tony Q. S. Quek, Min-Jian Zhao
Then we propose a PDD-based stochastic successive convex approximation (PDD-SSCA) algorithmic framework to find KKT solutions for two-stage stochastic optimization problems.
no code implementations • 18 May 2020 • Hualian Sheng, Xihan Chen, Xiongfei Zhai, An Liu, Min-Jian Zhao
This letter investigates the uplink of a multi-user millimeter wave (mmWave) system, where the base station (BS) is equipped with a massive multiple-input multiple-output (MIMO) array and resolution-adaptive analog-to-digital converters (RADCs).
no code implementations • 1 Jun 2019 • Jisheng Dai, An Liu, Hing Cheung So
By integrating the discretization enforcing prior into the SBL framework and applying the variational Bayesian inference (VBI) methodology, we devise an alternating optimization algorithm to jointly characterize the finite-alphabet feature and reconstruct the unknown signal.
no code implementations • 25 Jan 2018 • An Liu, Vincent Lau, Borna Kananian
The proposed CSSCA algorithm can also handle stochastic non-convex constraints in optimization problems, and it opens the way to solving more challenging optimization problems that occur in many applications.
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