Search Results for author: An Liu

Found 29 papers, 10 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.


PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs

no code implementations20 Feb 2024 An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

While Large language models (LLMs) have demonstrated considerable capabilities across various natural language tasks, they often fall short of the performance achieved by domain-specific state-of-the-art models.

text-classification Text Classification

Bayesian Federated Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing

no code implementations12 Feb 2024 Wei Xu, An Liu, Yiting Zhang, Vincent Lau

In this work, we propose a message passing based Bayesian federated learning (BFL) framework to avoid these drawbacks. Specifically, we formulate the problem of deep neural network (DNN) learning and compression and as a sparse Bayesian inference problem, in which group sparse prior is employed to achieve structured model compression.

Bayesian Inference Federated Learning +3

Towards Unified Alignment Between Agents, Humans, and Environment

no code implementations12 Feb 2024 Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu

We also conduct proof-of-concept studies by introducing realistic features to WebShop, including user profiles to demonstrate intentions, personalized reranking for complex environmental dynamics, and runtime cost statistics to reflect self-constraints.

Decision Making

Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning

1 code implementation9 Jan 2024 Jiaan Wang, Jianfeng Qu, Kexin Wang, Zhixu Li, Wen Hua, Ximing Li, An Liu

Knowledge-grounded dialogue (KGD) learns to generate an informative response based on a given dialogue context and external knowledge (\emph{e. g.}, knowledge graphs; KGs).

Contrastive Learning Knowledge Graphs

Planning and Rendering: Towards End-to-End Product Poster Generation

no code implementations14 Dec 2023 Zhaochen Li, Fengheng Li, Wei Feng, Honghe Zhu, An Liu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao, Zhenglu Yang

At the planning stage, we propose a PlanNet to generate the layout of the product and other visual components considering both the appearance features of the product and semantic features of the text, which improves the diversity and rationality of the layouts.

Image Inpainting

A Two-Stage 2D Channel Extrapolation Scheme for TDD 5G NR Systems

no code implementations13 Oct 2023 Yubo Wan, An Liu

A novel two-stage two-dimensional (2D) channel extrapolation scheme in both frequency and time domain is proposed, designed to mitigate the negative effects of imperfection factors and ensure high-accuracy channel estimation.

A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Non-Convex Parameter Estimation

no code implementations9 Oct 2023 Zhixiang Hu, An Liu, MinJian Zhao

Given these challenges, firstly, we propose a parallel stochastic particle variational Bayesian inference (PSPVBI) algorithm.

Bayesian Inference

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization

1 code implementation9 Sep 2023 Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

Specifically, we introduce a well-designed visual tokenizer to translate the non-linguistic image into a sequence of discrete tokens like a foreign language that LLM can read.

Language Modelling Large Language Model +1

Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters Estimation

1 code implementation18 Jul 2023 Wenkang Xu, An Liu, Bingpeng Zhou, MinJian Zhao

To overcome these drawbacks, we first propose a successive linear approximation VBI (SLA-VBI) algorithm that can provide Bayesian estimation of both sparse signals and dynamic grid parameters.

Bayesian Inference

Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model

no code implementations17 Jun 2023 Jiaan Wang, Jianfeng Qu, Yunlong Liang, Zhixu Li, An Liu, Guanfeng Liu, Xin Zheng

Constructing commonsense knowledge graphs (CKGs) has attracted wide research attention due to its significant importance in cognitive intelligence.

Knowledge Graphs

A Single-Loop Deep Actor-Critic Algorithm for Constrained Reinforcement Learning with Provable Convergence

no code implementations10 Jun 2023 Kexuan Wang, An Liu, Baishuo Liu

In spite of the biased policy gradient estimation incurred by the single-loop design and observation reuse, we prove that the SLDAC with a feasible initial point can converge to a Karush-Kuhn-Tuker (KKT) point of the original problem almost surely.

Decision Making reinforcement-learning

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, Ming Lei, 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.

Bayesian Inference Position

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

A Two-stage Multiband WiFi 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

Multiband fusion enhances WiFi sensing by jointly utilizing signals from multiple non-contiguous frequency bands.

Bayesian Inference

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.

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 +2

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

Cannot find the paper you are looking for? You can Submit a new open access paper.