Search Results for author: Yang Wang

Found 317 papers, 85 papers with code

Geometric Estimation via Robust Subspace Recovery

1 code implementation ECCV 2020 Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma

Geometric estimation from image point correspondences is the core procedure of many 3D vision problems, which is prevalently accomplished by random sampling techniques.

Homography Estimation Pose Estimation

NetSafe: Exploring the Topological Safety of Multi-agent Networks

no code implementations21 Oct 2024 Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, Yang Wang

Large language models (LLMs) have empowered nodes within multi-agent networks with intelligence, showing growing applications in both academia and industry.

Hallucination Misinformation

Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation

no code implementations16 Oct 2024 Wenbo Xu, Yanan Wu, Haoran Jiang, Yang Wang, Qiang Wu, Jian Zhang

Incremental Few-Shot Semantic Segmentation (iFSS) tackles a task that requires a model to continually expand its segmentation capability on novel classes using only a few annotated examples.

Few-Shot Semantic Segmentation Incremental Learning +2

Caching Content Placement and Beamforming Co-design for IRS-Aided MIMO Systems with Imperfect CSI

no code implementations14 Oct 2024 Meng Gao, Yang Wang, Huafu Li, Junqi Guo

Subsequently, we jointly design content placement and active/passive beamforming to minimize network costs under imperfect channel state information (CSI) in the IRS-oriented edge caching system.

Get Rid of Task Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework

1 code implementation14 Oct 2024 Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Yanjiang Chen, Liheng Yu, Xu Wang, Yang Wang

To this end, we argue that there is an essential to propose a Continuous Multi-task Spatio-Temporal learning framework (CMuST) to empower collective urban intelligence, which reforms the urban spatiotemporal learning from single-domain to cooperatively multi-dimensional and multi-task learning.

Data Summarization Multi-Task Learning

ConServe: Harvesting GPUs for Low-Latency and High-Throughput Large Language Model Serving

no code implementations2 Oct 2024 Yifan Qiao, Shu Anzai, Shan Yu, Haoran Ma, Yang Wang, Miryung Kim, Harry Xu

However, the tight latency requirement and high load variance of applications pose challenges to serving systems in achieving high GPU utilization.

Benchmarking Document Summarization +3

From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls

no code implementations1 Oct 2024 Tomas Goldsack, Yang Wang, Chenghua Lin, Chung-Chi Chen

This paper explores the use of Large Language Models (LLMs) in the generation and evaluation of analytical reports derived from Earnings Calls (ECs).

Learning Frame-Wise Emotion Intensity for Audio-Driven Talking-Head Generation

no code implementations29 Sep 2024 Jingyi Xu, Hieu Le, Zhixin Shu, Yang Wang, Yi-Hsuan Tsai, Dimitris Samaras

The training signals for this predictor are obtained through our emotion-agnostic intensity pseudo-labeling method without the need of frame-wise intensity labeling.

Talking Head Generation

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

1 code implementation25 Sep 2024 Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang

Due to the redundancy in LLM weights, recent research has focused on pushing weight-only quantization to extremely low-bit (even down to 2 bits).

Quantization

One Model for Two Tasks: Cooperatively Recognizing and Recovering Low-Resolution Scene Text Images by Iterative Mutual Guidance

no code implementations22 Sep 2024 Minyi Zhao, Yang Wang, Jihong Guan, Shuigeng Zhou

On the other hand, as the STISR and STR models are jointly optimized, to pursue high recognition accuracy, the fidelity of SR images may be spoiled.

Image Super-Resolution Scene Text Recognition

From Experts to the Public: Governing Multimodal Language Models in Politically Sensitive Video Analysis

no code implementations15 Sep 2024 Tanusree Sharma, Yujin Potter, Zachary Kilhoffer, Yun Huang, Dawn Song, Yang Wang

This paper examines the governance of multimodal large language models (MM-LLMs) through individual and collective deliberation, focusing on analyses of politically sensitive videos.

Decision Making

Approximation Bounds for Recurrent Neural Networks with Application to Regression

no code implementations9 Sep 2024 Yuling Jiao, Yang Wang, Bokai Yan

We derive upper bounds on the approximation error of RNNs for H\"older smooth functions, in the sense that the output at each time step of an RNN can approximate a H\"older function that depends only on past and current information, termed a past-dependent function.

regression

Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction

no code implementations2 Sep 2024 Zhanwen Liu, Chao Li, Yang Wang, Nan Yang, Xing Fan, Jiaqi Ma, Xiangmo Zhao

Motion prediction plays an essential role in autonomous driving systems, enabling autonomous vehicles to achieve more accurate local-path planning and driving decisions based on predictions of the surrounding vehicles.

Autonomous Driving Missing Values +2

TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather

1 code implementation25 Aug 2024 Xiongwei Zhao, Congcong Wen, Yang Wang, Haojie Bai, Wenhao Dou

These datasets retain the original LiDAR acquisition information and provide point-level semantic labels for rain, fog, and snow.

Autonomous Driving Denoising +1

QMambaBSR: Burst Image Super-Resolution with Query State Space Model

no code implementations16 Aug 2024 Xin Di, Long Peng, Peizhe Xia, Wenbo Li, Renjing Pei, Yang Cao, Yang Wang, Zheng-Jun Zha

Moreover, AdaUp is designed to dynamically adjust the upsampling kernel based on the spatial distribution of multi-frame sub-pixel information in the different burst scenes, thereby facilitating the reconstruction of the spatial arrangement of high-resolution details.

Burst Image Super-Resolution Mamba

PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark

1 code implementation10 Aug 2024 Cheng Wei, Yang Wang, Kuofeng Gao, Shuo Shao, Yiming Li, Zhibo Wang, Zhan Qin

We achieve this goal by designing a scalable clean-label backdoor-based dataset watermark for point clouds that ensures both effectiveness and stealthiness.

Early Risk Assessment Model for ICA Timing Strategy in Unstable Angina Patients Using Multi-Modal Machine Learning

no code implementations8 Aug 2024 Candi Zheng, Kun Liu, Yang Wang, Shiyi Chen, Hongli Li

The challenge lies in determining the optimal timing for ICA in UA patients, balancing the need for revascularization in high-risk patients against the potential complications in low-risk ones.

CLIP-based Point Cloud Classification via Point Cloud to Image Translation

no code implementations7 Aug 2024 Shuvozit Ghose, Manyi Li, Yiming Qian, Yang Wang

Motivated by this observation, we propose a Pretrained Point Cloud to Image Translation Network (PPCITNet) that produces generalized colored images along with additional salient visual cues to the point cloud depth maps so that it can achieve promising performance on point cloud classification and understanding.

Classification Point Cloud Classification +1

BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments

no code implementations25 Jul 2024 Yu-Yun Tseng, Tanusree Sharma, Lotus Zhang, Abigale Stangl, Leah Findlater, Yang Wang, Danna Gurari

Individuals who are blind or have low vision (BLV) are at a heightened risk of sharing private information if they share photographs they have taken.

Object Localization

TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes

no code implementations23 Jul 2024 Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou

The classical temporal point process (TPP) constructs an intensity function by taking the occurrence times into account.

Feature Importance Point Processes

Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams

1 code implementation16 Jul 2024 Ziqiang Wang, Zhixiang Chi, Yanan Wu, Li Gu, Zhi Liu, Konstantinos Plataniotis, Yang Wang

Given a model trained on source data, Test-Time Adaptation (TTA) enables adaptation and inference in test data streams with domain shifts from the source.

Test-time Adaptation

Synthetic Data: Revisiting the Privacy-Utility Trade-off

no code implementations9 Jul 2024 Fatima Jahan Sarmin, Atiquer Rahman Sarkar, Yang Wang, Noman Mohammed

In our work, we analyzed the implementation of the privacy game described in the article and found that it operated in a highly specialized and constrained environment, which limits the applicability of its findings to general cases.

Privacy Preserving

MSTF: Multiscale Transformer for Incomplete Trajectory Prediction

no code implementations8 Jul 2024 Zhanwen Liu, Chao Li, Nan Yang, Yang Wang, Jiaqi Ma, Guangliang Cheng, Xiangmo Zhao

MSTF integrates a Multiscale Attention Head (MAH) and an Information Increment-based Pattern Adaptive (IIPA) module.

Missing Values Motion Forecasting +1

Evaluating Quality of Answers for Retrieval-Augmented Generation: A Strong LLM Is All You Need

no code implementations26 Jun 2024 Yang Wang, Alberto Garcia Hernandez, Roman Kyslyi, Nicholas Kersting

We present a comprehensive study of answer quality evaluation in Retrieval-Augmented Generation (RAG) applications using vRAG-Eval, a novel grading system that is designed to assess correctness, completeness, and honesty.

RAG Retrieval

Hybrid Precoding With Low-Resolution PSs for Wideband Terahertz Communication Systems in The Face of Beam Squint

no code implementations24 Jun 2024 Yang Wang, Chuang Yang, Mugen Peng

Moreover, the beam squint in wideband THz massive MIMO increases the performance degradation because of the frequency independence of the analog PSs.

Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation

1 code implementation21 Jun 2024 Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen

Despite the significant progress of large language models (LLMs) in various tasks, they often produce factual errors due to their limited internal knowledge.

Answer Generation RAG

LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation

1 code implementation12 Jun 2024 Wenhao Guan, Kaidi Wang, Wangjin Zhou, Yang Wang, Feng Deng, Hui Wang, Lin Li, Qingyang Hong, Yong Qin

And the effectiveness of the method is accompanied by the extensive number of sampling steps, leading to an extended synthesis time necessary for generating high-quality audio.

Audio Generation

Towards Realistic Data Generation for Real-World Super-Resolution

no code implementations11 Jun 2024 Long Peng, Wenbo Li, Renjing Pei, Jingjing Ren, Yang Wang, Yang Cao, Zheng-Jun Zha

Existing image super-resolution (SR) techniques often fail to generalize effectively in complex real-world settings due to the significant divergence between training data and practical scenarios.

Image Super-Resolution

HoneyGPT: Breaking the Trilemma in Terminal Honeypots with Large Language Model

no code implementations4 Jun 2024 Ziyang Wang, Jianzhou You, Haining Wang, Tianwei Yuan, Shichao Lv, Yang Wang, Limin Sun

The evaluation of HoneyGPT includes two parts: a baseline comparison based on a collected dataset and a field evaluation in real scenarios for four weeks.

Language Modelling Large Language Model +1

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

no code implementations3 Jun 2024 Chen Zhang, Qiang He, Zhou Yuan, Elvis S. Liu, Hong Wang, Jian Zhao, Yang Wang

Sh\=ukai quantifies the state to enhance generalizability, introducing Heterogeneous League Training (HELT) to achieve balanced competence, generalizability, and training efficiency.

Faces of the Mind: Unveiling Mental Health States Through Facial Expressions in 11,427 Adolescents

1 code implementation30 May 2024 Xiao Xu, Keyin Zhou, Yan Zhang, Yang Wang, Fei Wang, Xizhe Zhang

Mood disorders, including depression and anxiety, often manifest through facial expressions.

Can LLMs Solve longer Math Word Problems Better?

no code implementations23 May 2024 Xin Xu, Tong Xiao, Zitong Chao, Zhenya Huang, Can Yang, Yang Wang

This study pioneers the exploration of Context Length Generalizability (CoLeG), the ability of LLMs to solve long MWPs.

Data Augmentation Math

Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations

no code implementations22 May 2024 Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin

The rapid expansion of Location-Based Social Networks (LBSNs) has highlighted the importance of effective next Point-of-Interest (POI) recommendations, which leverage historical check-in data to predict users' next POIs to visit.

Federated Learning

NieR: Normal-Based Lighting Scene Rendering

no code implementations21 May 2024 Hongsheng Wang, Yang Wang, Yalan Liu, Fayuan Hu, Shengyu Zhang, Fei Wu, Feng Lin

In real-world road scenes, diverse material properties lead to complex light reflection phenomena, making accurate color reproduction crucial for enhancing the realism and safety of simulated driving environments.

Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method

no code implementations19 May 2024 Yuling Jiao, Yanming Lai, Yang Wang

We present error bound in terms of the sample size $n$ and our work provides guidance on how to set the network depth, width, step size, and number of iterations for the projected gradient descent algorithm.

Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance

no code implementations16 May 2024 Huibing Wang, Mingze Yao, Yawei Chen, Yunqiu Xu, Haipeng Liu, Wei Jia, Xianping Fu, Yang Wang

Moreover, to preserve the consistency information among multiple views, MIMB implements a biconsistency guidance strategy with reverse regularization of the consensus representation and proposes a manifold embedding measure for exploring the hidden structure of the recovered data.

Clustering Incomplete multi-view clustering +1

Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution

1 code implementation11 May 2024 Long Peng, Yang Cao, Renjing Pei, Wenbo Li, Jiaming Guo, Xueyang Fu, Yang Wang, Zheng-Jun Zha

These convolutions are integrated in parallel with a novel linear weighting mechanism to form an Adaptive Directional Gradient Convolution (DGConv), which adaptively weights and fuses the basic directional gradients to improve the gradient arrangement perception capability for both regular and irregular textures.

Image Super-Resolution

FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration

no code implementations9 May 2024 Binwu Wang, Yan Leng, Guang Wang, Yang Wang

This study develops FusionTransNet, a framework designed for Origin-Destination (OD) flow predictions within smart and multimodal urban transportation systems.

Decoder

Fast One-Stage Unsupervised Domain Adaptive Person Search

no code implementations5 May 2024 Tianxiang Cui, Huibing Wang, Jinjia Peng, Ruoxi Deng, Xianping Fu, Yang Wang

Unsupervised person search aims to localize a particular target person from a gallery set of scene images without annotations, which is extremely challenging due to the unexpected variations of the unlabeled domains.

Clustering Person Search

Scene-Adaptive Person Search via Bilateral Modulations

no code implementations5 May 2024 Yimin Jiang, Huibing Wang, Jinjia Peng, Xianping Fu, Yang Wang

In SEAS, a Background Modulation Network (BMN) is designed to encode the feature extracted from the detected bounding box into a multi-granularity embedding, which reduces the input of background noise from multiple levels with norm-aware.

Person Search

Harmonic LLMs are Trustworthy

no code implementations30 Apr 2024 Nicholas S. Kersting, Mohammad Rahman, Suchismitha Vedala, Yang Wang

We introduce an intuitive method to test the robustness (stability and explainability) of any black-box LLM in real-time via its local deviation from harmoniticity, denoted as $\gamma$.

Hallucination TruthfulQA

Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks

no code implementations23 Apr 2024 Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang

Pre-training GNNs to extract transferable knowledge and apply it to downstream tasks has become the de facto standard of graph representation learning.

Graph Representation Learning

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

3 code implementations16 Apr 2024 Bin Ren, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, ZhengJun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Barsoum Emad, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, YuHan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Qian Wang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

In sub-track 1, the practical runtime performance of the submissions was evaluated, and the corresponding score was used to determine the ranking.

Image Super-Resolution

Convergence Analysis of Flow Matching in Latent Space with Transformers

no code implementations3 Apr 2024 Yuling Jiao, Yanming Lai, Yang Wang, Bokai Yan

We present theoretical convergence guarantees for ODE-based generative models, specifically flow matching.

Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel Prior

1 code implementation2 Apr 2024 Zhanwen Liu, Yuhang Li, Yang Wang, Bolin Gao, Yisheng An, Xiangmo Zhao

The environmental perception of autonomous vehicles in normal conditions have achieved considerable success in the past decade.

Autonomous Driving

Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification

no code implementations1 Apr 2024 Shuvozit Ghose, Yang Wang

In this direction, CLIP-based point cloud models like PointCLIP, CLIP2Point have become state-of-the-art methods in the few-shot setup.

Point Cloud Classification

Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting

1 code implementation CVPR 2024 Haipeng Liu, Yang Wang, Biao Qian, Meng Wang, Yong Rui

Denoising diffusion probabilistic models for image inpainting aim to add the noise to the texture of image during the forward process and recover masked regions with unmasked ones of the texture via the reverse denoising process. Despite the meaningful semantics generation, the existing arts suffer from the semantic discrepancy between masked and unmasked regions, since the semantically dense unmasked texture fails to be completely degraded while the masked regions turn to the pure noise in diffusion process, leading to the large discrepancy between them.

Denoising Image Inpainting

FairSTG: Countering performance heterogeneity via collaborative sample-level optimization

no code implementations19 Mar 2024 Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang

To fix this gap, we propose a model-independent Fairness-aware framework for SpatioTemporal Graph learning (FairSTG), which inherits the idea of exploiting advantages of well-learned samples to challenging ones with collaborative mix-up.

Fairness Graph Learning +1

Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance

no code implementations18 Mar 2024 Hao Wu, Fan Xu, Yifan Duan, Ziwei Niu, Weiyan Wang, Gaofeng Lu, Kun Wang, Yuxuan Liang, Yang Wang

This paper proposes a two-stage framework named ST-PAD for spatio-temporal fluid dynamics modeling in the field of earth sciences, aiming to achieve high-precision simulation and prediction of fluid dynamics through spatio-temporal physics awareness and parameter diffusion guidance.

Quantization

RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model

no code implementations18 Mar 2024 Junyi Fan, Yuxuan Han, Jialin Zeng, Jian-Feng Cai, Yang Wang, Yang Xiang, Jiheng Zhang

Up to a logarithmic dependence on the size of the state space, Lin-Confident-FTRL learns $\epsilon$-CCE with a provable optimal accuracy bound $O(\epsilon^{-2})$ and gets rids of the linear dependency on the action space, while scaling polynomially with relevant problem parameters (such as the number of agents and time horizon).

LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection

1 code implementation14 Mar 2024 Xiangrui Cai, Yang Wang, Sihan Xu, Hao Li, Ying Zhang, Zheli Liu, Xiaojie Yuan

Moreover, LAN can be also applied to post-hoc ITD, surpassing 8 competitive baselines by at least 7. 70% and 4. 03% in AUC on two datasets.

Anomaly Detection Graph structure learning

RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules

1 code implementation5 Mar 2024 Miaomiao Li, Jiaqi Zhu, Yang Wang, Yi Yang, Yilin Li, Hongan Wang

Weakly supervised text classification (WSTC), also called zero-shot or dataless text classification, has attracted increasing attention due to its applicability in classifying a mass of texts within the dynamic and open Web environment, since it requires only a limited set of seed words (label names) for each category instead of labeled data.

Pseudo Label text-classification +1

ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution

1 code implementation4 Mar 2024 Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yang Wang

Motivated by complementary learning in neuroscience, we introduce a prompt-based complementary spatiotemporal learning termed ComS2T, to empower the evolution of models for data adaptation.

Hippocampus

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

no code implementations19 Feb 2024 Xiaoyu Tian, Junru Gu, Bailin Li, Yicheng Liu, Yang Wang, Zhiyong Zhao, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao

A primary hurdle of autonomous driving in urban environments is understanding complex and long-tail scenarios, such as challenging road conditions and delicate human behaviors.

Autonomous Driving Scene Understanding

Can We Verify Step by Step for Incorrect Answer Detection?

1 code implementation16 Feb 2024 Xin Xu, Shizhe Diao, Can Yang, Yang Wang

Chain-of-Thought (CoT) prompting has marked a significant advancement in enhancing the reasoning capabilities of large language models (LLMs).

Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence

1 code implementation15 Feb 2024 Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin

Emotional Intelligence (EI), consisting of emotion perception, emotion cognition and emotion expression, plays the critical roles in improving user interaction experience for the current large language model (LLM) based conversational general AI assistants.

Emotional Intelligence Language Modelling +1

Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts

no code implementations6 Feb 2024 Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang

In this paper, we address the issue of modeling and estimating changes in the state of the spatio-temporal dynamical systems based on a sequence of observations like video frames.

Optical Flow Estimation

One Graph Model for Cross-domain Dynamic Link Prediction

no code implementations3 Feb 2024 Xuanwen Huang, Wei Chow, Yang Wang, Ziwei Chai, Chunping Wang, Lei Chen, Yang Yang

Extensive experiments on eight untrained graphs demonstrate that DyExpert achieves state-of-the-art performance in cross-domain link prediction.

Dynamic Link Prediction

Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems

no code implementations13 Jan 2024 Yang Wang, Ya-Hui Jia, Wei-neng Chen, Yi Mei

To address this issue, this paper proposes a distance-aware attention reshaping method, assisting neural solvers in solving large-scale vehicle routing problems.

Lightweight Adaptive Feature De-drifting for Compressed Image Classification

no code implementations3 Jan 2024 Long Peng, Yang Cao, Yuejin Sun, Yang Wang

However, it is not an ideal choice to use these JPEG artifact removal methods as a pre-processing for compressed image classification for the following reasons: 1.

Classification Image Classification +1

Test-Time Personalization with Meta Prompt for Gaze Estimation

1 code implementation3 Jan 2024 Huan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos Plataniotis, Yuanhao Yu

Despite the recent remarkable achievement in gaze estimation, efficient and accurate personalization of gaze estimation without labels is a practical problem but rarely touched on in the literature.

Gaze Estimation

Large Language Models for Generative Information Extraction: A Survey

1 code implementation29 Dec 2023 Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Yang Wang, Enhong Chen

Information extraction (IE) aims to extract structural knowledge from plain natural language texts.

Survey

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

1 code implementation15 Dec 2023 Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng

In this work, we propose to reduce such learning interference and elevate the domain knowledge learning by only manipulating the BN layer.

Domain Adaptation Meta-Learning +1

Open Set Dandelion Network for IoT Intrusion Detection

no code implementations19 Nov 2023 Jiashu Wu, Hao Dai, Kenneth B. Kent, Jerome Yen, Chengzhong Xu, Yang Wang

The OSDN model performs intrusion knowledge transfer from the knowledge-rich source network intrusion domain to facilitate more accurate intrusion detection for the data-scarce target IoT intrusion domain.

Domain Adaptation Intrusion Detection +1

There is No Silver Bullet: Benchmarking Methods in Predictive Combinatorial Optimization

no code implementations13 Nov 2023 Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan

Our study shows that PnO approaches are better than PtO on 7 out of 8 benchmarks, but there is no silver bullet found for the specific design choices of PnO.

Benchmarking Combinatorial Optimization +3

Enhancing Traffic Object Detection in Variable Illumination with RGB-Event Fusion

no code implementations1 Nov 2023 Zhanwen Liu, Nan Yang, Yang Wang, Yuke Li, Xiangmo Zhao, Fei-Yue Wang

To address this issue, we introduce bio-inspired event cameras and propose a novel Structure-aware Fusion Network (SFNet) that extracts sharp and complete object structures from the event stream to compensate for the lost information in images through cross-modality fusion, enabling the network to obtain illumination-robust representations for traffic object detection.

Object object-detection +2

LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

1 code implementation23 Oct 2023 Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang

This paper explores the open research problem of understanding the social behaviors of LLM-based agents.

The Distributional Impact of Inflation in Pakistan: A Case Study of a New Price Focused Microsimulation Framework, PRICES

no code implementations30 Sep 2023 Cathal ODonoghue, Beenish Amjad, Jules Linden, Nora Lustig, Denisa Sologon, Yang Wang

The secondary purpose is to demonstrate one component of the model by assessing the distributional and welfare impact of recent price changes in Pakistan.

Survey

FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation

no code implementations28 Sep 2023 Songlin Wei, Jiazhao Zhang, Yang Wang, Fanbo Xiang, Hao Su, He Wang

Existing works rely on the independence assumption of points in the radiance field or the pixels in input views to obtain tractable forms of the probability density function.

Audio Contrastive based Fine-tuning

no code implementations21 Sep 2023 Yang Wang, Qibin Liang, Chenghao Xiao, Yizhi Li, Noura Al Moubayed, Chenghua Lin

Audio classification plays a crucial role in speech and sound processing tasks with a wide range of applications.

Audio Classification Contrastive Learning

Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning

no code implementations31 Aug 2023 Ahmed Hatem, Yiming Qian, Yang Wang

During meta-testing, the trained model is fine-tuned with a few gradient updates to produce a unique set of network parameters for each test instance.

Meta-Learning point cloud upsampling +1

Building explainable graph neural network by sparse learning for the drug-protein binding prediction

1 code implementation27 Aug 2023 Yang Wang, Zanyu Shi, Timothy Richardson, Kun Huang, Pathum Weerawarna, Yijie Wang

Due to the use of the chemical-substructure-based graph, it is guaranteed that any subgraphs in a drug identified by our SLGNN are chemically valid structures.

Graph Neural Network Sparse Learning +1

Efficient Learned Lossless JPEG Recompression

no code implementations25 Aug 2023 Lina Guo, Yuanyuan Wang, Tongda Xu, Jixiang Luo, Dailan He, Zhenjun Ji, Shanshan Wang, Yang Wang, Hongwei Qin

Second, we propose pipeline parallel context model (PPCM) and compressed checkerboard context model (CCCM) for the effective conditional modeling and efficient decoding within luma and chroma components.

Image Compression Quantization

Attention-Based Acoustic Feature Fusion Network for Depression Detection

1 code implementation24 Aug 2023 Xiao Xu, Yang Wang, Xinru Wei, Fei Wang, Xizhe Zhang

To rectify this, we present the novel Attention-Based Acoustic Feature Fusion Network (ABAFnet) for depression detection.

Depression Detection

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field

no code implementations19 Aug 2023 Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang

Despite Graph Neural Networks demonstrating considerable promise in graph representation learning tasks, GNNs predominantly face significant issues with over-fitting and over-smoothing as they go deeper as models of computer vision realm.

Graph Representation Learning

ARAI-MVSNet: A multi-view stereo depth estimation network with adaptive depth range and depth interval

1 code implementation17 Aug 2023 Song Zhang, Wenjia Xu, Zhiwei Wei, Lili Zhang, Yang Wang, Junyi Liu

Moreover, our method also achieves the lowest $e_{1}$ and $e_{3}$ on the BlendedMVS dataset and the highest Acc and $F_{1}$-score on the ETH 3D dataset, surpassing all listed methods. Project website: https://github. com/zs670980918/ARAI-MVSNet

Stereo Depth Estimation

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank

no code implementations5 Aug 2023 Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang

Notice that these ranking metrics do not consider the effects of the contextual dependence among the items in the list, we design a new family of simulation-based ranking metrics, where existing metrics can be regarded as special cases.

Learning-To-Rank

Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution

no code implementations17 May 2023 Yingda Yin, Jiangran Lyu, Yang Wang, He Wang, Baoquan Chen

With this benefit, we demonstrate its advantages in semi-supervised rotation regression, where the pseudo labels are noisy.

regression

Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition

1 code implementation21 Apr 2023 Yanan Wu, Songhe Feng, Yang Wang

In this paper, we treat each image as a bag of instances, and formulate the task of multi-label image recognition as an instance-label matching selection problem.

Few-Shot Learning Graph Matching +1

Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition

no code implementations19 Apr 2023 Zhiwei Wei, Yi Xiao, Wenjia Xu, Mi Shu, Lu Cheng, Yang Wang, Chunbo Liu

To improve efficiency and effectiveness, we integrate multi-scale data using a knowledge graph, focusing on the recognition of C-shaped building patterns.

Data Integration

Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling

1 code implementation CVPR 2023 Yulin Liu, Haoran Liu, Yingda Yin, Yang Wang, Baoquan Chen, He Wang

Normalizing flows (NFs) provide a powerful tool to construct an expressive distribution by a sequence of trackable transformations of a base distribution and form a probabilistic model of underlying data.

E-MLB: Multilevel Benchmark for Event-Based Camera Denoising

1 code implementation21 Mar 2023 Saizhe Ding, Jinze Chen, Yang Wang, Yu Kang, Weiguo Song, Jie Cheng, Yang Cao

Event cameras, such as dynamic vision sensors (DVS), are biologically inspired vision sensors that have advanced over conventional cameras in high dynamic range, low latency and low power consumption, showing great application potential in many fields.

Denoising

Adaptive Data-Free Quantization

1 code implementation CVPR 2023 Biao Qian, Yang Wang, Richang Hong, Meng Wang

Data-free quantization (DFQ) recovers the performance of quantized network (Q) without the original data, but generates the fake sample via a generator (G) by learning from full-precision network (P), which, however, is totally independent of Q, overlooking the adaptability of the knowledge from generated samples, i. e., informative or not to the learning process of Q, resulting into the overflow of generalization error.

Data Free Quantization

A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation

no code implementations3 Mar 2023 Yingda Yin, Yang Wang, He Wang, Baoquan Chen

Rotation Laplace distribution is robust to the disturbance of outliers and enforces much gradient to the low-error region, resulting in a better convergence.

regression

Rethinking Data-Free Quantization as a Zero-Sum Game

1 code implementation19 Feb 2023 Biao Qian, Yang Wang, Richang Hong, Meng Wang

how to generate the samples with desirable adaptability to benefit the quantized network?

Data Free Quantization

Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis

1 code implementation17 Feb 2023 Haoran Sun, Yang Wang, Haipeng Liu, Biao Qian

The proposed FF-Block integrates an attention block and several convolution layers to effectively fuse the fine-grained word-context features into the corresponding visual features, in which the text information is fully used to refine the initial image with more details.

Image Generation

Convergence Analysis of the Deep Galerkin Method for Weak Solutions

no code implementations5 Feb 2023 Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang

This paper analyzes the convergence rate of a deep Galerkin method for the weak solution (DGMW) of second-order elliptic partial differential equations on $\mathbb{R}^d$ with Dirichlet, Neumann, and Robin boundary conditions, respectively.

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective

no code implementations27 Jan 2023 Xu Wang, Pengfei Gu, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Lei Bai, Yang Wang

In this paper, with extensive and deep-going experiments, we comprehensively analyze existing spatiotemporal graph learning models and reveal that extracting adjacency matrices with carefully design strategies, which are viewed as the key of enhancing performance on graph learning, are largely ineffective.

Graph Learning

Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach

no code implementations24 Jan 2023 Jiashu Wu, Hao Dai, Yang Wang, Kejiang Ye, Chengzhong Xu

In this paper, a Geometric Graph Alignment (GGA) approach is leveraged to mask the geometric heterogeneities between domains for better intrusion knowledge transfer.

Domain Adaptation Network Intrusion Detection +2

Decoupling-and-Aggregating for Image Exposure Correction

no code implementations CVPR 2023 Yang Wang, Long Peng, Liang Li, Yang Cao, Zheng-Jun Zha

To this end, we inject the addition/difference operation into the convolution process and devise a Contrast Aware (CA) unit and a Detail Aware (DA) unit to facilitate the statistical and structural regularities modeling.

Exposure Correction

An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases

no code implementations20 Nov 2022 Futian Weng, Yuanting Ma, Jinghan Sun, Shijun Shan, Qiyuan Li, Jianping Zhu, Yang Wang, Yan Xu

This paper presents the first study of the interpretability and imbalanced semi-supervised learning of the multiclass intelligent skin diagnosis framework (ISDL) using 58, 457 skin images with 10, 857 unlabeled samples.

Specificity

Multi-Scenario Bimetric-Balanced IoT Resource Allocation: An Evolutionary Approach

no code implementations10 Nov 2022 Jiashu Wu, Hao Dai, Yang Wang, Zhiying Tu

In this paper, we allocate IoT devices as resources for smart services with time-constrained resource requirements.

Joint Semantic Transfer Network for IoT Intrusion Detection

no code implementations28 Oct 2022 Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Chengzhong Xu

The scenario semantic endows source NI and II domain with characteristics from each other to ease the knowledge transfer process via a confused domain discriminator and categorical distribution knowledge preservation.

Computational Efficiency Domain Adaptation +3

Video Summarization Overview

no code implementations21 Oct 2022 Mayu Otani, Yale Song, Yang Wang

With the broad growth of video capturing devices and applications on the web, it is more demanding to provide desired video content for users efficiently.

Video Summarization

Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles

1 code implementation21 Oct 2022 Yuxuan Han, Jialin Zeng, Yang Wang, Yang Xiang, Jiheng Zhang

We study the stochastic contextual bandit with knapsacks (CBwK) problem, where each action, taken upon a context, not only leads to a random reward but also costs a random resource consumption in a vector form.

Multi-Armed Bandits regression

Few-Shot Learning of Compact Models via Task-Specific Meta Distillation

no code implementations18 Oct 2022 Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh, Zhi Liu, Yang Wang

In this paper, we propose task-specific meta distillation that simultaneously learns two models in meta-learning: a large teacher model and a small student model.

Few-Shot Image Classification Few-Shot Learning

FAQS: Communication-efficient Federate DNN Architecture and Quantization Co-Search for personalized Hardware-aware Preferences

no code implementations16 Oct 2022 Hongjiang Chen, Yang Wang, Leibo Liu, Shaojun Wei, Shouyi Yin

Due to user privacy and regulatory restrictions, federate learning (FL) is proposed as a distributed learning framework for training deep neural networks (DNN) on decentralized data clients.

Neural Architecture Search Quantization

HQNAS: Auto CNN deployment framework for joint quantization and architecture search

no code implementations16 Oct 2022 Hongjiang Chen, Yang Wang, Leibo Liu, Shaojun Wei, Shouyi Yin

Deep learning applications are being transferred from the cloud to edge with the rapid development of embedded computing systems.

Neural Architecture Search Quantization

Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts

1 code implementation8 Oct 2022 Tao Zhong, Zhixiang Chi, Li Gu, Yang Wang, Yuanhao Yu, Jin Tang

Most existing methods perform training on multiple source domains using a single model, and the same trained model is used on all unseen target domains.

Domain Generalization Knowledge Distillation +3

Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method

1 code implementation8 Oct 2022 Lu Zhang, Yang Wang, Jiaogen Zhou, Chenbo Zhang, Yinglu Zhang, Jihong Guan, Yatao Bian, Shuigeng Zhou

In this paper, we propose and solve a new problem called hierarchical few-shot object detection (Hi-FSOD), which aims to detect objects with hierarchical categories in the FSOD paradigm.

Contrastive Learning Few-Shot Object Detection +2

Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation

1 code implementation23 Sep 2022 Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang

The idea is to supplement the GNN-based main supervised recommendation task with the temporal representation via an auxiliary cross-view contrastive learning mechanism.

Collaborative Filtering Contrastive Learning +1

Delving Globally into Texture and Structure for Image Inpainting

1 code implementation17 Sep 2022 Haipeng Liu, Yang Wang, Meng Wang, Yong Rui

Our model is orthogonal to the fashionable arts, such as Convolutional Neural Networks (CNNs), Attention and Transformer model, from the perspective of texture and structure information for image inpainting.

Decoder Image Inpainting

Switchable Online Knowledge Distillation

1 code implementation12 Sep 2022 Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang

Instead of focusing on the accuracy gap at test phase by the existing arts, the core idea of SwitOKD is to adaptively calibrate the gap at training phase, namely distillation gap, via a switching strategy between two modes -- expert mode (pause the teacher while keep the student learning) and learning mode (restart the teacher).

Knowledge Distillation

Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics

no code implementations17 Aug 2022 Zhengyang Zhou, Yang Kuo, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang

To infer region-wise proximity under flexible factor-wise combinations and enable dynamic neighborhood aggregations, we further disentangle compounded influences of exogenous factors on region-wise proximity and learn to aggregate them.

Uncertainty Quantification

Grasping Core Rules of Time Series through Pure Models

no code implementations15 Aug 2022 Gedi Liu, Yifeng Jiang, Yi Ouyang, Keyang Zhong, Yang Wang

Time series underwent the transition from statistics to deep learning, as did many other machine learning fields.

Time Series Time Series Analysis

Instance Image Retrieval by Learning Purely From Within the Dataset

no code implementations12 Aug 2022 Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Peng Wang, Fang Chen

Although achieving promising results, this approach is restricted by two issues: 1) the domain gap between benchmark datasets and the dataset of a given retrieval task; 2) the required auxiliary dataset cannot be readily obtained.

Image Retrieval Retrieval +2

Trajectory Tracking Control of the Bionic Joint Actuated by Pneumatic Artificial Muscle Based on Robust Modeling

no code implementations10 Aug 2022 Yang Wang, Qiang Zhang, Xiao-hui Xiao

Then, a hybrid model is established based on the two models (the nonlinear model and the LTI model) and corresponding to it, a cascaded controller is developed, the outer loop of which is an H-infinite controller for the angular position tracking designed by loop-shaping design procedure (LSDP) and the inner loop is a nonlinear controller based on the feedback linearization theory for the PAM driving pressure control.

Position

PECCO: A Profit and Cost-oriented Computation Offloading Scheme in Edge-Cloud Environment with Improved Moth-flame Optimisation

no code implementations9 Aug 2022 Jiashu Wu, Hao Dai, Yang Wang, Shigen Shen, Chengzhong Xu

With the fast growing quantity of data generated by smart devices and the exponential surge of processing demand in the Internet of Things (IoT) era, the resource-rich cloud centres have been utilised to tackle these challenges.

De-biased Representation Learning for Fairness with Unreliable Labels

no code implementations1 Aug 2022 Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

In other words, the fair pre-processing methods ignore the discrimination encoded in the labels either during the learning procedure or the evaluation stage.

Fairness Representation Learning

Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification

no code implementations9 Jul 2022 Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaid, Mohammed Bennamoun

It is a challenging and practical problem since the query images often suffer from resolution degradation due to the different capturing conditions from real-world cameras.

Person Re-Identification Super-Resolution

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

no code implementations30 Jun 2022 Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis

Since GAD emphasizes the application and the rarity of anomalous samples, enriching the varieties of its datasets is fundamental work.

Graph Anomaly Detection

Improving Visual Speech Enhancement Network by Learning Audio-visual Affinity with Multi-head Attention

no code implementations30 Jun 2022 Xinmeng Xu, Yang Wang, Jie Jia, Binbin Chen, Dejun Li

The proposed model alleviates these drawbacks by a) applying a model that fuses audio and visual features layer by layer in encoding phase, and that feeds fused audio-visual features to each corresponding decoder layer, and more importantly, b) introducing a 2-stage multi-head cross attention (MHCA) mechanism to infer audio-visual speech enhancement for balancing the fused audio-visual features and eliminating irrelevant features.

Decoder Speech Enhancement

On Private Online Convex Optimization: Optimal Algorithms in $\ell_p$-Geometry and High Dimensional Contextual Bandits

1 code implementation16 Jun 2022 Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan YAO, Jiheng Zhang

To address such a challenge as the online convex optimization with privacy protection, we propose a private variant of online Frank-Wolfe algorithm with recursive gradients for variance reduction to update and reveal the parameters upon each data.

Multi-Armed Bandits

Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication

no code implementations8 May 2022 Yang Wang, Zhen Gao, Dezhi Zheng, Sheng Chen, Deniz Gündüz, H. Vincent Poor

It is anticipated that 6G wireless networks will accelerate the convergence of the physical and cyber worlds and enable a paradigm-shift in the way we deploy and exploit communication networks.