Search Results for author: Xudong Zhang

Found 30 papers, 10 papers with code

Strength in Numbers: Averaging and Clustering Effects in Mixture of Experts for Graph-Based Dependency Parsing

no code implementations ACL (IWPT) 2021 Xudong Zhang, Joseph Le Roux, Thierry Charnois

We review two features of mixture of experts (MoE) models which we call averaging and clustering effects in the context of graph-based dependency parsers learned in a supervised probabilistic framework.

Clustering Dependency Parsing

Monocular Localization with Semantics Map for Autonomous Vehicles

no code implementations6 Jun 2024 Jixiang Wan, Xudong Zhang, Shuzhou Dong, Yuwei Zhang, Yuchen Yang, Ruoxi Wu, Ye Jiang, Jijunnan Li, Jinquan Lin, Ming Yang

To balance efficiency and accuracy, we propose a novel lightweight visual semantic localization algorithm that employs stable semantic features instead of low-level texture features.

Autonomous Driving Computational Efficiency +1

Revised Optimal design of power electronic transformer based on hybrid MMC under over-modulation operation

no code implementations27 May 2024 Yaqian Zhang, Xudong Zhang, Jianzhong Zhang, Fujin Deng

When the hybrid MMC boost-AC mode is used in the power electronic transformer, the degree of freedom in system design is improved, and the cost and volume of the power electronic transformer system can be further reduced.

Robust Communicative Multi-Agent Reinforcement Learning with Active Defense

no code implementations16 Dec 2023 Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang

We propose an active defense strategy, where agents automatically reduce the impact of potentially harmful messages on the final decision.

Multi-agent Reinforcement Learning reinforcement-learning

Data Augmentation of Bridging the Delay Gap for DL-based Massive MIMO CSI Feedback

2 code implementations1 Aug 2023 Hengyu Zhang, Zhilin Lu, Xudong Zhang, Jintao Wang

In massive multiple-input multiple-output (MIMO) systems under the frequency division duplexing (FDD) mode, the user equipment (UE) needs to feed channel state information (CSI) back to the base station (BS).

Data Augmentation

SGL: Structure Guidance Learning for Camera Localization

no code implementations12 Apr 2023 Xudong Zhang, Shuang Gao, Xiaohu Nan, Haikuan Ning, Yuchen Yang, Yishan Ping, Jixiang Wan, Shuzhou Dong, Jijunnan Li, Yandong Guo

Camera localization is a classical computer vision task that serves various Artificial Intelligence and Robotics applications.

Camera Localization Visual Localization

Deep Learning for Hybrid Beamforming with Finite Feedback in GSM Aided mmWave MIMO Systems

1 code implementation15 Feb 2023 Zhilin Lu, Xudong Zhang, Rui Zeng, Jintao Wang

Hybrid beamforming is widely recognized as an important technique for millimeter wave (mmWave) multiple input multiple output (MIMO) systems.

Low Entropy Communication in Multi-Agent Reinforcement Learning

no code implementations10 Feb 2023 Lebin Yu, Yunbo Qiu, Qiexiang Wang, Xudong Zhang, Jian Wang

Communication in multi-agent reinforcement learning has been drawing attention recently for its significant role in cooperation.

Multi-agent Reinforcement Learning reinforcement-learning +1

SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation

no code implementations8 Feb 2023 Yuan Cao, Xudong Zhang, Fan Zhang, Feifei Kou, Josiah Poon, Xiongnan Jin, Yongheng Wang, Jinpeng Chen

Session-based recommendation (SBR) problem, which focuses on next-item prediction for anonymous users, has received increasingly more attention from researchers.

Contrastive Learning Graph Neural Network +1

Towards Efficient Subarray Hybrid Beamforming: Attention Network-based Practical Feedback in FDD Massive MU-MIMO Systems

1 code implementation5 Feb 2023 Zhilin Lu, Xudong Zhang, Rui Zeng, Jintao Wang

Channel state information (CSI) feedback is necessary for the frequency division duplexing (FDD) multiple input multiple output (MIMO) systems due to the channel non-reciprocity.

Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction

no code implementations14 Nov 2022 Gecheng Chen, Yu Zhou, Xudong Zhang, Rui Tuo

The area of transfer learning comprises supervised machine learning methods that cope with the issue when the training and testing data have different input feature spaces or distributions.

Domain Adaptation motion prediction +1

Quantization Adaptor for Bit-Level Deep Learning-Based Massive MIMO CSI Feedback

1 code implementation5 Nov 2022 Xudong Zhang, Zhilin Lu, Rui Zeng, Jintao Wang

In this paper, we propose an adaptor-assisted quantization strategy for bit-level DL-based CSI feedback.


Better Lightweight Network for Free: Codeword Mimic Learning for Massive MIMO CSI feedback

1 code implementation29 Oct 2022 Zhilin Lu, Xudong Zhang, Rui Zeng, Jintao Wang

In this paper, a cost free distillation technique named codeword mimic (CM) is proposed to train better feedback networks with the practical lightweight encoder.

MMFL-Net: Multi-scale and Multi-granularity Feature Learning for Cross-domain Fashion Retrieval

no code implementations27 Oct 2022 Chen Bao, Xudong Zhang, Jiazhou Chen, Yongwei Miao

To this end, we propose a novel multi-scale and multi-granularity feature learning network (MMFL-Net), which can jointly learn global-local aggregation feature representations of clothing images in a unified framework, aiming to train a cross-domain model for C2S fashion visual similarity.

Attribute Image Retrieval +1

A Real-Time Fusion Framework for Long-term Visual Localization

no code implementations18 Oct 2022 Yuchen Yang, Xudong Zhang, Shuang Gao, Jixiang Wan, Yishan Ping, Yuyue Liu, Jijunnan Li, Yandong Guo

In this paper, we present an efficient client-server visual localization architecture that fuses global and local pose estimations to realize promising precision and efficiency.

Visual Localization

Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control

no code implementations17 Sep 2022 Yunbo Qiu, Yue Jin, Jian Wang, Xudong Zhang

Flocking control is a challenging problem, where multiple agents, such as drones or vehicles, need to reach a target position while maintaining the flock and avoiding collisions with obstacles and collisions among agents in the environment.

Multi-agent Reinforcement Learning reinforcement-learning +2

Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement Learning

no code implementations23 May 2022 Yue Jin, Shuangqing Wei, Jian Yuan, Xudong Zhang

In this paper, we explore the spatiotemporal structure of agents' decisions and consider the hierarchy of coordination from the perspective of multilevel emergence dynamics, based on which a novel approach, Learning to Advise and Learning from Advice (LALA), is proposed to improve MARL.

Multi-agent Reinforcement Learning reinforcement-learning +1

Targeted Data Poisoning Attack on News Recommendation System by Content Perturbation

no code implementations4 Mar 2022 Xudong Zhang, Zan Wang, Jingke Zhao, Lanjun Wang

To address this, we introduce a notion of the exposure risk and propose a novel problem of attacking a history news dataset by means of perturbations where the goal is to maximize the manipulation of the target news rank while keeping the risk of exposure under a given budget.

Data Poisoning News Recommendation +1

Pose Refinement with Joint Optimization of Visual Points and Lines

no code implementations8 Oct 2021 Shuang Gao, Jixiang Wan, Yishan Ping, Xudong Zhang, Shuzhou Dong, Yuchen Yang, Haikuan Ning, Jijunnan Li, Yandong Guo

High-precision camera re-localization technology in a pre-established 3D environment map is the basis for many tasks, such as Augmented Reality, Robotics and Autonomous Driving.

Autonomous Driving

Information-Bottleneck-Based Behavior Representation Learning for Multi-agent Reinforcement learning

no code implementations29 Sep 2021 Yue Jin, Shuangqing Wei, Jian Yuan, Xudong Zhang

In multi-agent deep reinforcement learning, extracting sufficient and compact information of other agents is critical to attain efficient convergence and scalability of an algorithm.

Multi-agent Reinforcement Learning reinforcement-learning +2

Supervised Off-Policy Ranking

1 code implementation3 Jul 2021 Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu

Inspired by the two observations, in this work, we study a new problem, supervised off-policy ranking (SOPR), which aims to rank a set of target policies based on supervised learning by leveraging off-policy data and policies with known performance.

Off-policy evaluation

Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System

1 code implementation1 May 2021 Zhilin Lu, Xudong Zhang, Hongyi He, Jintao Wang, Jian Song

Massive multiple-input multiple-output (MIMO) is one of the key techniques to achieve better spectrum and energy efficiency in 5G system.

Binarization Quantization

Robust Reinforcement Learning under model misspecification

1 code implementation29 Mar 2021 Lebin Yu, Jian Wang, Xudong Zhang

Reinforcement learning has achieved remarkable performance in a wide range of tasks these days.

Adversarial Attack reinforcement-learning +1

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