activity
20092025
most citedTopic Aware Neural Response Generation

313 citations · 1.1k across the 65 of their papers we have counts for

collaborators

66 papers

cs.SD2025★ 46 cited

D3-Guard: Acoustic-based Drowsy Driving Detection Using Smartphones

Yadong Xie, Fan Li, Yue Wu +2

Since the number of cars has grown rapidly in recent years, driving safety draws more and more public attention. Drowsy driving is one of the biggest threatens to driving safety. T…

hep-ex2023★ 15 cited

Experimental Limits on Solar Reflected Dark Matter with a New Approach on Accelerated-Dark-Matter-Electron Analysis in Semiconductors

Z. Y. Zhang, L. T. Yang, Q. Yue +81

Recently a dark matter-electron (DM-electron) paradigm has drawn much attention. Models beyond the standard halo model describing DM accelerated by high energy celestial bodies are…

hep-ex2023★ 13 cited

Projected WIMP sensitivity of the CDEX-50 dark matter experiment

X. P. Geng, L. T. Yang, Q. Yue +81

CDEX-50 is a next-generation project of the China Dark Matter Experiment (CDEX) that aims to search for dark matter using a 50-kg germanium detector array. This paper comprises a t…

cs.CV2023★ 1 cited

1st Place Solution for the 5th LSVOS Challenge: Video Instance Segmentation

Tao Zhang, Xingye Tian, Yikang Zhou +7

Video instance segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. In this report…

cs.CV2023★ 94 cited

Vision-Based Human Pose Estimation via Deep Learning: A Survey

Gongjin Lan, Yu Wu, Fei Hu +1

Human pose estimation (HPE) has attracted a significant amount of attention from the computer vision community in the past decades. Moreover, HPE has been applied to various domain…

physics.med-ph2023

Acoustofluidic Engineering Functional Vessel-on-a-Chip

Yue Wu, Yuwen Zhao, Khayrul Islam +4

Construction of in vitro vascular models is of great significance to various biomedical research, such as pharmacokinetics and hemodynamics, thus is an important direction in tissu…

cond-mat.soft2023

Stochastic effects on solution landscapes for nematic liquid crystals

James Luke Dalby, Apala Majumdar, Yue Wu +1

We study the effects of additive and multiplicative noise on the solution landscape of nematic liquid crystals confined to a square domain within the Landau-de Gennes framework, as…

cs.AI2023

Service Reservation and Pricing for Green Metaverses: A Stackelberg Game Approach

Xumin Huang, Yuan Wu, Jiawen Kang +4

Metaverse enables users to communicate, collaborate and socialize with each other through their digital avatars. Due to the spatio-temporal characteristics, co-located users are se…

cs.DC2023★ 3 cited

Federated Learning-Empowered AI-Generated Content in Wireless Networks

Xumin Huang, Peichun Li, Hongyang Du +4

Artificial intelligence generated content (AIGC) has emerged as a promising technology to improve the efficiency, quality, diversity and flexibility of the content creation process…

cs.CV2023★ 1 cited

DVIS: Decoupled Video Instance Segmentation Framework

Tao Zhang, Xingye Tian, Yu Wu +4

Video instance segmentation (VIS) is a critical task with diverse applications, including autonomous driving and video editing. Existing methods often underperform on complex and l…

cs.CV2023★ 2 cited

1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation

Tao Zhang, Xingye Tian, Haoran Wei +6

Video panoptic segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. We believe tha…

cs.CV2023

Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation

Ruoyu Wang, Yongqi Yang, Zhihao Qian +2

Originating from the diffusion phenomenon in physics that describes particle movement, the diffusion generative models inherit the characteristics of stochastic random walk in the…

quant-ph2023★ 1 cited

Fusion Blossom: Fast MWPM Decoders for QEC

Yue Wu, Lin Zhong

The Minimum-Weight Perfect Matching (MWPM) decoder is widely used in Quantum Error Correction (QEC) decoding. Despite its high accuracy, existing implementations of the MWPM decode…

cs.LG2023

Annealing Self-Distillation Rectification Improves Adversarial Training

Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen

In standard adversarial training, models are optimized to fit one-hot labels within allowable adversarial perturbation budgets. However, the ignorance of underlying distribution sh…

cs.CV2023★ 5 cited

Multi-spectral Class Center Network for Face Manipulation Detection and Localization

Changtao Miao, Qi Chu, Zhentao Tan +7

As deepfake content proliferates online, advancing face manipulation forensics has become crucial. To combat this emerging threat, previous methods mainly focus on studying how to…

nucl-ex2023★ 10 cited

Searching for Ge neutrinoless double beta decay with the CDEX-1B experiment

B. T. Zhang, J. Z. Wang, L. T. Yang +82

We operated a p-type point contact high purity germanium (PPCGe) detector (CDEX-1B, 1.008 kg) in the China Jinping Underground Laboratory (CJPL) for 500.3 days to search for neutri…

cs.CV2023

Click-Feedback Retrieval

Zeyu Wang, Yu Wu

Retrieving target information based on input query is of fundamental importance in many real-world applications. In practice, it is not uncommon for the initial search to fail, whe…

cs.NI2023★ 17 cited

FAST: Fidelity-Adjustable Semantic Transmission over Heterogeneous Wireless Networks

Peichun Li, Guoliang Cheng, Jiawen Kang +4

In this work, we investigate the challenging problem of on-demand semantic communication over heterogeneous wireless networks. We propose a fidelity-adjustable semantic transmissio…

cs.CV2023★ 1 cited

Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World

Qifan Yu, Juncheng Li, Yu Wu +3

Scene Graph Generation (SGG) aims to extract <subject, predicate, object> relationships in images for vision understanding. Although recent works have made steady progress on SGG,…

cs.CV2023★ 2 cited

Boundary Guided Learning-Free Semantic Control with Diffusion Models

Ye Zhu, Yu Wu, Zhiwei Deng +2

Applying pre-trained generative denoising diffusion models (DDMs) for downstream tasks such as image semantic editing usually requires either fine-tuning DDMs or learning auxiliary…

cs.SI2022★ 5 cited

Generative Graph Neural Networks for Link Prediction

Xingping Xian, Tao Wu, Xiaoke Ma +5

Inferring missing links or detecting spurious ones based on observed graphs, known as link prediction, is a long-standing challenge in graph data analysis. With the recent advances…

cond-mat.mtrl-sci2022★ 4 cited

Understanding the Anomalous Hall effect in CoNbS from crystal and magnetic structures

K. Lu, A. Murzabekova, S. Shim +10

A large anomalous Hall effect (AHE) has recently been observed in the intercalated transition metal dichalcogenide (TMDC) CoNbS below a known magnetic phase transitio…

eess.SY2022★ 23 cited

How to Share: Balancing Layer and Chain Sharing in Industrial Microservice Deployment

Yuxiang Liu, Bo Yang, Yu Wu +2

With the rapid development of smart manufacturing, edge computing-oriented microservice platforms are emerging as an important part of production control. In the containerized depl…

cs.CV2022★ 2 cited

Vision+X: A Survey on Multimodal Learning in the Light of Data

Ye Zhu, Yu Wu, Nicu Sebe +1

We are perceiving and communicating with the world in a multisensory manner, where different information sources are sophisticatedly processed and interpreted by separate parts of…