Search Results for author: An Liu

Found 17 papers, 6 papers with code

Tackling Zero Pronoun Resolution and Non-Zero Coreference Resolution Jointly

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.

coreference-resolution Coreference Resolution

Joint Scattering Environment Sensing and Channel Estimation Based on Non-stationary Markov Random Field

no code implementations6 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.

Joint Scattering Environment Sensing and Channel Estimation for Integrated Sensing and Communication

no code implementations3 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.

Long-Document Cross-Lingual Summarization

1 code implementation1 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.

Machine Translation

Fundamental Limits and Optimization of Multiband Sensing

no code implementations21 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.

A Two-stage Multiband Radar Sensing Scheme via Stochastic Particle-Based Variational Bayesian Inference

no code implementations21 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.

Bayesian Inference

Latency Minimization for mmWave D2D Mobile Edge Computing Systems: Joint Task Allocation and Hybrid Beamforming Design

no code implementations17 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.


RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation

1 code implementation17 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.

Dialogue Generation Knowledge Graphs +1

Multiband Delay Estimation for Localization Using a Two-Stage Global Estimation Scheme

no code implementations20 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.

Bayesian Inference

Channel Tracking and Prediction for IRS-aided Wireless Communications

no code implementations11 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.

Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks

1 code implementation29 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.

Multi-Task Learning

Knowledge Enhanced Sports Game Summarization

1 code implementation24 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.

Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning

1 code implementation26 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.

reinforcement-learning Reinforcement Learning (RL)

Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling

no code implementations5 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.

Rolling Shutter Correction Stochastic Optimization +1

Energy Efficiency Optimization for Millimeter Wave System with Resolution-Adaptive ADCs

no code implementations18 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).


Sparse Bayesian Learning Approach for Discrete Signal Reconstruction

no code implementations1 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.

Bayesian Inference

Stochastic Successive Convex Approximation for Non-Convex Constrained Stochastic Optimization

no code implementations25 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.

Information Theory Information Theory

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