Search Results for author: Yan Zhang

Found 252 papers, 90 papers with code

``What Do You Mean by That?'' A Parser-Independent Interactive Approach for Enhancing Text-to-SQL

no code implementations EMNLP 2020 Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang

In Natural Language Interfaces to Databases systems, the text-to-SQL technique allows users to query databases by using natural language questions.


Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories

no code implementations CVPR 2024 Yan Zhang, Sergey Prokudin, Marko Mihajlovic, Qianli Ma, Siyu Tang

By observing a set of point trajectories, we aim to learn an implicit motion field parameterized by a neural network to predict the movement of novel points within the same domain, without relying on any data-driven or scene-specific priors.

UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment

1 code implementation3 Jun 2024 Hantao Zhou, Longxiang Tang, Rui Yang, Guanyi Qin, Yan Zhang, Runze Hu, Xiu Li

Image Quality Assessment (IQA) and Image Aesthetic Assessment (IAA) aim to simulate human subjective perception of image visual quality and aesthetic appeal.

Image Quality Assessment

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.

AIGB: Generative Auto-bidding via Diffusion Modeling

no code implementations25 May 2024 Jiayan Guo, Yusen Huo, Zhilin Zhang, Tianyu Wang, Chuan Yu, Jian Xu, Yan Zhang, Bo Zheng

Auto-bidding plays a crucial role in facilitating online advertising by automatically providing bids for advertisers.

Reinforcement Learning (RL)

Exploring the Impact of Synthetic Data for Aerial-view Human Detection

no code implementations24 May 2024 Hyungtae Lee, Yan Zhang, Yi-Ting Shen, Heesung Kwon, Shuvra S. Bhattacharyya

Therefore, synthetic data can be a good resource to expand data, but the domain gap with real-world data is the biggest obstacle to its use in training.

Domain Generalization Human Detection

Semi-Supervised Disease Classification based on Limited Medical Image Data

no code implementations7 May 2024 Yan Zhang, Chun Li, Zhaoxia Liu, Ming Li

By addressing the limitations imposed by limited labeled data and harnessing the untapped potential of unlabeled medical images, our novel generative model presents a promising direction for enhancing semi-supervised disease classification in the field of medical image analysis.

text-classification Text Classification

RIS-aided Wireless Communication with Movable Elements Geometry Impact on Performance

no code implementations30 Apr 2024 Yan Zhang, Indrakshi Dey, Nicola Marchetti

Reconfigurable Intelligent Surfaces (RIS) are known as a promising technology to improve the performance of wireless communication networks, and have been extensively studied.


Raformer: Redundancy-Aware Transformer for Video Wire Inpainting

1 code implementation24 Apr 2024 Zhong Ji, Yimu Su, Yan Zhang, Jiacheng Hou, Yanwei Pang, Jungong Han

Video Wire Inpainting (VWI) is a prominent application in video inpainting, aimed at flawlessly removing wires in films or TV series, offering significant time and labor savings compared to manual frame-by-frame removal.

Video Inpainting

Cantor: Inspiring Multimodal Chain-of-Thought of MLLM

no code implementations24 Apr 2024 Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji

This paper delves into the realm of multimodal CoT to solve intricate visual reasoning tasks with multimodal large language models(MLLMs) and their cognitive capability.

Decision Making Logical Reasoning +1

Multi-Modal Prompt Learning on Blind Image Quality Assessment

1 code implementation23 Apr 2024 Wensheng Pan, Timin Gao, Yan Zhang, Runze Hu, Xiawu Zheng, Enwei Zhang, Yuting Gao, Yutao Liu, Yunhang Shen, Ke Li, Shengchuan Zhang, Liujuan Cao, Rongrong Ji

Image Quality Assessment (IQA) models benefit significantly from semantic information, which allows them to treat different types of objects distinctly.

Blind Image Quality Assessment

MoE-TinyMed: Mixture of Experts for Tiny Medical Large Vision-Language Models

1 code implementation16 Apr 2024 Songtao Jiang, Tuo Zheng, Yan Zhang, Yeying Jin, Zuozhu Liu

Mixture of Expert Tuning (MoE-Tuning) has effectively enhanced the performance of general MLLMs with fewer parameters, yet its application in resource-limited medical settings has not been fully explored.

Visual Question Answering (VQA)

Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models

1 code implementation6 Apr 2024 Songtao Jiang, Yan Zhang, Chenyi Zhou, Yeying Jin, Yang Feng, Jian Wu, Zuozhu Liu

In this paper, we present a novel approach, Joint Visual and Text Prompting (VTPrompt), that employs fine-grained visual information to enhance the capability of MLLMs in VQA, especially for object-oriented perception.

Object Question Answering +1

RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method

no code implementations CVPR 2024 Ming Yan, Yan Zhang, Shuqiang Cai, Shuqi Fan, Xincheng Lin, Yudi Dai, Siqi Shen, Chenglu Wen, Lan Xu, Yuexin Ma, Cheng Wang

Comprehensive capturing of human motions requires both accurate captures of complex poses and precise localization of the human within scenes.

Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective

no code implementations27 Mar 2024 Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu

Within our framework, we devise a causal graph to elucidate the predictions of MLLMs on VQA problems, and assess the causal effect of biases through an in-depth causal analysis.

Question Answering Visual Question Answering

CrossTune: Black-Box Few-Shot Classification with Label Enhancement

no code implementations19 Mar 2024 Danqing Luo, Chen Zhang, Yan Zhang, Haizhou Li

Training or finetuning large-scale language models (LLMs) requires substantial computation resources, motivating recent efforts to explore parameter-efficient adaptation to downstream tasks.

Few-Shot Text Classification In-Context Learning +2

Graph Neural Networks for Learning Equivariant Representations of Neural Networks

1 code implementation18 Mar 2024 Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang

Neural networks that process the parameters of other neural networks find applications in domains as diverse as classifying implicit neural representations, generating neural network weights, and predicting generalization errors.

Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives

1 code implementation CVPR 2024 Ronghui Li, Yuxiang Zhang, Yachao Zhang, Hongwen Zhang, Jie Guo, Yan Zhang, Yebin Liu, Xiu Li

In contrast, the second-stage is the local diffusion, which parallelly generates detailed motion sequences under the guidance of the dance primitives and choreographic rules.

Motion Synthesis

Boosting Disfluency Detection with Large Language Model as Disfluency Generator

no code implementations13 Mar 2024 Zhenrong Cheng, Jiayan Guo, Hao Sun, Yan Zhang

In this study, we propose a lightweight data augmentation approach for disfluency detection, utilizing the superior generative and semantic understanding capabilities of large language model (LLM) to generate disfluent sentences as augmentation data.

Data Augmentation Language Modelling +1

Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling

no code implementations11 Mar 2024 Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin kang, Jun Zhou

The estimator is general for all types of outcomes, and is able to comprehensively model the treatment and control group data together to approach the uplift.

Graph Neural Network

Benchmarking Micro-action Recognition: Dataset, Methods, and Applications

1 code implementation8 Mar 2024 Dan Guo, Kun Li, Bin Hu, Yan Zhang, Meng Wang

It offers insights into the feelings and intentions of individuals and is important for human-oriented applications such as emotion recognition and psychological assessment.

Benchmarking Micro-Action Recognition

More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning

no code implementations25 Feb 2024 Zhipeng Ma, Zheyan Tu, Xinhai Chen, Yan Zhang, Deguo Xia, Guyue Zhou, Yilun Chen, Yu Zheng, Jiangtao Gong

The experimental results demonstrate that JGRM outperforms existing methods in both road segment representation and trajectory representation tasks.

Representation Learning

Computation Offloading for Multi-server Multi-access Edge Vehicular Networks: A DDQN-based Method

no code implementations21 Feb 2024 Siyu Wang, Bo Yang, Zhiwen Yu, Xuelin Cao, Yan Zhang, Chau Yuen

In this paper, we investigate a multi-user offloading problem in the overlapping domain of a multi-server mobile edge computing system.

Decision Making Edge-computing +1

Unsupervised Concept Discovery Mitigates Spurious Correlations

no code implementations20 Feb 2024 Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi

Models prone to spurious correlations in training data often produce brittle predictions and introduce unintended biases.

Representation Learning

Improved Generalization of Weight Space Networks via Augmentations

no code implementations6 Feb 2024 Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron

Learning in deep weight spaces (DWS), where neural networks process the weights of other neural networks, is an emerging research direction, with applications to 2D and 3D neural fields (INRs, NeRFs), as well as making inferences about other types of neural networks.

Contrastive Learning Data Augmentation

Attention-based Efficient Classification for 3D MRI Image of Alzheimer's Disease

no code implementations25 Jan 2024 Yihao Lin, Ximeng Li, Yan Zhang, Jinshan Tang

The model utilizes a pre-trained ResNet network as the backbone, incorporating post-fusion algorithm for 3D medical images and attention mechanisms.

Alzheimer's Disease Detection

Robust Tiny Object Detection in Aerial Images amidst Label Noise

1 code implementation16 Jan 2024 Haoran Zhu, Chang Xu, Wen Yang, Ruixiang Zhang, Yan Zhang, Gui-Song Xia

In this study, we address the intricate issue of tiny object detection under noisy label supervision.

Denoising Object +2

EgoGen: An Egocentric Synthetic Data Generator

no code implementations CVPR 2024 Gen Li, Kaifeng Zhao, Siwei Zhang, Xiaozhong Lyu, Mihai Dusmanu, Yan Zhang, Marc Pollefeys, Siyu Tang

To address this challenge, we introduce EgoGen, a new synthetic data generator that can produce accurate and rich ground-truth training data for egocentric perception tasks.

Human Mesh Recovery Motion Synthesis

DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs

2 code implementations10 Jan 2024 Zijie Meng, Yan Zhang, Zhaopeng Feng, Zuozhu Liu

Subsequently, we propose Filter Choices based Reasoning (FCR) to improve model performance on MCQs with low ($\mathcal{CS}$).

Question Answering

Prompt Decoupling for Text-to-Image Person Re-identification

no code implementations4 Jan 2024 Weihao Li, Lei Tan, Pingyang Dai, Yan Zhang

In the first stage, we freeze the two encoders from CLIP and solely focus on optimizing the prompts to alleviate domain gap between the original training data of CLIP and downstream tasks.

Domain Adaptation Person Re-Identification

LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes

no code implementations CVPR 2024 Yanwen Guo, Yuanqi Li, Dayong Ren, Xiaohong Zhang, Jiawei Li, Liang Pu, Changfeng Ma, Xiaoyu Zhan, Jie Guo, Mingqiang Wei, Yan Zhang, Piaopiao Yu, Shuangyu Yang, Donghao Ji, Huisheng Ye, Hao Sun, Yansong Liu, Yinuo Chen, Jiaqi Zhu, Hongyu Liu

In this paper we present LiDAR-Net a new real-scanned indoor point cloud dataset containing nearly 3. 6 billion precisely point-level annotated points covering an expansive area of 30000m^2.

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection

no code implementations14 Dec 2023 Hao Sun, Hengyi Cai, Bo wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin

Despite the remarkable ability of large language models (LLMs) in language comprehension and generation, they often suffer from producing factually incorrect information, also known as hallucination.

Hallucination Retrieval +1

DiffAIL: Diffusion Adversarial Imitation Learning

1 code implementation11 Dec 2023 Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin

To address this issue, we propose a method named diffusion adversarial imitation learning (DiffAIL), which introduces the diffusion model into the AIL framework.

Imitation Learning

MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples

no code implementations11 Dec 2023 Tao Chen, Enwei Zhang, Yuting Gao, Ke Li, Xing Sun, Yan Zhang, Hui Li

Although In-Context Learning (ICL) brings remarkable performance gains to Large Language Models (LLMs), the improvements remain lower than fine-tuning on downstream tasks.

In-Context Learning

Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity

no code implementations11 Dec 2023 Xudong Li, Timin Gao, Runze Hu, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Rongrong Ji

Specifically, QFM-IQM enhances the semantic noise distinguish capabilities by matching image pairs with similar quality scores but varying semantic features as adversarial semantic noise and adaptively adjusting the upstream task's features by reducing sensitivity to adversarial noise perturbation.

Contrastive Learning feature selection +2

Joint User Association, Interference Cancellation and Power Control for Multi-IRS Assisted UAV Communications

no code implementations8 Dec 2023 Zhaolong Ning, Hao Hu, Xiaojie Wang, Qingqing Wu, Chau Yuen, F. Richard Yu, Yan Zhang

To address the aforementioned challenges, we propose a new optimization algorithm for joint IRS-user association, trajectory optimization of UAVs, successive interference cancellation (SIC) decoding order scheduling and power allocation to maximize system energy efficiency.

Q-Learning Scheduling

Edge computing service deployment and task offloading based on multi-task high-dimensional multi-objective optimization

no code implementations7 Dec 2023 Yanheng Guo, Yan Zhang, Linjie Wu, Mengxia Li, Xingjuan Cai, Jinjun Chen

This study investigates service deployment and task offloading challenges in a multi-user environment, framing them as a multi-task high-dimensional multi-objective optimization (MT-HD-MOO) problem within an edge environment.


Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment

no code implementations1 Dec 2023 Xudong Li, Jingyuan Zheng, Xiawu Zheng, Runze Hu, Enwei Zhang, Yuting Gao, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji

Concretely, by innovatively introducing a novel feature distillation method in IQA, we propose a new framework to learn comparative knowledge from non-aligned reference images.

Inductive Bias No-Reference Image Quality Assessment +1

How does spatial structure affect psychological restoration? A method based on Graph Neural Networks and Street View Imagery

1 code implementation29 Nov 2023 Haoran Ma, Yan Zhang, Pengyuan Liu, Fan Zhang, Pengyu Zhu

In this work, a spatial-dependent graph neural networks (GNNs) approach is proposed to reveal the relation between spatial structure and restoration quality on an urban scale.

Data Augmentations in Deep Weight Spaces

no code implementations15 Nov 2023 Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron

Learning in weight spaces, where neural networks process the weights of other deep neural networks, has emerged as a promising research direction with applications in various fields, from analyzing and editing neural fields and implicit neural representations, to network pruning and quantization.

Data Augmentation Network Pruning +1

Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models

1 code implementation15 Nov 2023 Tingyu Xie, Qi Li, Yan Zhang, Zuozhu Liu, Hongwei Wang

Exploring the application of powerful large language models (LLMs) on the named entity recognition (NER) task has drawn much attention recently.

In-Context Learning named-entity-recognition +3

How Well Do Text Embedding Models Understand Syntax?

1 code implementation14 Nov 2023 Yan Zhang, Zhaopeng Feng, Zhiyang Teng, Zuozhu Liu, Haizhou Li

Text embedding models have significantly contributed to advancements in natural language processing by adeptly capturing semantic properties of textual data.

Object-centric architectures enable efficient causal representation learning

1 code implementation29 Oct 2023 Amin Mansouri, Jason Hartford, Yan Zhang, Yoshua Bengio

Causal representation learning has showed a variety of settings in which we can disentangle latent variables with identifiability guarantees (up to some reasonable equivalence class).

Disentanglement Object

Adaptive Digital Twin for UAV-Assisted Integrated Sensing, Communication, and Computation Networks

no code implementations26 Oct 2023 Bin Li, Wenshuai Liu, Wancheng Xie, Ning Zhang, Yan Zhang

In this paper, we study a digital twin (DT)-empowered integrated sensing, communication, and computation network.


Empirical Study of Zero-Shot NER with ChatGPT

1 code implementation16 Oct 2023 Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, Hongwei Wang

Large language models (LLMs) exhibited powerful capability in various natural language processing tasks.

Arithmetic Reasoning named-entity-recognition +3

UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking

1 code implementation16 Oct 2023 Chuang Li, Yan Zhang, Min-Yen Kan, Haizhou Li

Previous zero-shot dialogue state tracking (DST) methods only apply transfer learning, ignoring unlabelled data in the target domain.

Dialogue State Tracking Transfer Learning

Learning To Teach Large Language Models Logical Reasoning

1 code implementation13 Oct 2023 Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li

Large language models (LLMs) have gained enormous attention from both academia and industry, due to their exceptional ability in language generation and extremely powerful generalization.

counterfactual Event Relation Extraction +4

Evolutionary Retrosynthetic Route Planning

no code implementations8 Oct 2023 Yan Zhang, Hao Hao, Xiao He, Shuanhu Gao, Aimin Zhou

The experimental results show that, in comparison to the Monte Carlo tree search algorithm, EA significantly reduces the number of calling single-step model by an average of 53. 9%.

Multi-step retrosynthesis Retrosynthesis

Fictional Worlds, Real Connections: Developing Community Storytelling Social Chatbots through LLMs

no code implementations20 Sep 2023 Yuqian Sun, Hanyi Wang, Pok Man Chan, Morteza Tabibi, Yan Zhang, Huan Lu, YuHeng Chen, Chang Hee Lee, Ali Asadipour

We address the integration of storytelling and Large Language Models (LLMs) to develop engaging and believable Social Chatbots (SCs) in community settings.

A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems

1 code implementation14 Sep 2023 Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li

However, not all CRS approaches use human conversations as their source of interaction data; the majority of prior CRS work simulates interactions by exchanging entity-level information.

Language Modelling Recommendation Systems

Deep Semantic Graph Matching for Large-scale Outdoor Point Clouds Registration

no code implementations10 Aug 2023 Shaocong Liu, Tao Wang, Yan Zhang, Ruqin Zhou, Li Li, Chenguang Dai, Yongsheng Zhang, Longguang Wang, Hanyun Wang

The adjacent points with the same category labels are then clustered together using the Euclidean clustering algorithm to obtain the semantic instances, which are represented by three kinds of attributes including spatial location information, semantic categorical information, and global geometric shape information.

Graph Matching Point Cloud Registration +1

Combinatorial Auctions and Graph Neural Networks for Local Energy Flexibility Markets

no code implementations25 Jul 2023 Awadelrahman M. A. Ahmed, Frank Eliassen, Yan Zhang

This paper proposes a new combinatorial auction framework for local energy flexibility markets, which addresses the issue of prosumers' inability to bundle multiple flexibility time intervals.

Graph Neural Network

PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow

no code implementations18 Jul 2023 Lin Yuan, Kai Liang, Xiao Pu, Yan Zhang, Jiaxu Leng, Tao Wu, Nannan Wang, Xinbo Gao

This paper proposes a novel paradigm for facial privacy protection that unifies multiple characteristics including anonymity, diversity, reversibility and security within a single lightweight framework.

Privacy Preserving

A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis

no code implementations5 Jul 2023 Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Xiaotang Gai, Yang Feng, Zuozhu Liu

Recent advances in pretrained vision-language models (VLMs) such as CLIP have shown great performance for zero-shot natural image recognition and exhibit benefits in medical applications.

Image Classification Medical Image Classification

Hierarchical Matching and Reasoning for Multi-Query Image Retrieval

1 code implementation26 Jun 2023 Zhong Ji, Zhihao LI, Yan Zhang, Haoran Wang, Yanwei Pang, Xuelong Li

Afterwards, the VR module is developed to excavate the potential semantic correlations among multiple region-query pairs, which further explores the high-level reasoning similarity.

Image Retrieval Retrieval

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering

1 code implementation6 Jun 2023 Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang

Graph CF has attracted more and more attention in recent years due to its effectiveness in leveraging high-order information in the user-item bipartite graph for better recommendations.

Collaborative Filtering Recommendation Systems

Allies: Prompting Large Language Model with Beam Search

1 code implementation24 May 2023 Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan

With the advance of large language models (LLMs), the research field of LLM applications becomes more and more popular and the idea of constructing pipelines to accomplish complex tasks by stacking LLM API calls come true.

Language Modelling Large Language Model +3

Balancing Explainability-Accuracy of Complex Models

no code implementations23 May 2023 Poushali Sengupta, Yan Zhang, Sabita Maharjan, Frank Eliassen

Furthermore, we provide an upper bound of the computation complexity of our proposed approach for the dependent features.

Autonomous Driving Explainable Artificial Intelligence (XAI)

Synthesizing Diverse Human Motions in 3D Indoor Scenes

no code implementations ICCV 2023 Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, Siyu Tang

We present a novel method for populating 3D indoor scenes with virtual humans that can navigate in the environment and interact with objects in a realistic manner.

Collision Avoidance Human-Object Interaction Detection +1

CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation

no code implementations19 May 2023 Wenxuan Wang, Jing Liu, Xingjian He, Yisi Zhang, Chen Chen, Jiachen Shen, Yan Zhang, Jiangyun Li

Referring image segmentation (RIS) is a fundamental vision-language task that intends to segment a desired object from an image based on a given natural language expression.

Image Segmentation Segmentation +1

Prokaryotic genome editing based on the subtype I-B-Svi CRISPR-Cas system

no code implementations8 May 2023 Wang-Yu Tong, De-Xiang Yong, Xin Xu, Cai-Hua Qiu, Yan Zhang, Xing-Wang Yang, Ting-Ting Xia, Qing-Yang Liu, Su-Li Cao, Yan Sun, Xue Li

Type I CRISPR-Cas systems are the most common among six types of CRISPR-Cas systems, however, non-self-targeting genome editing based on a single Cas3 of type I CRISPR-Cas systems has not been reported.

Vocal Bursts Type Prediction

Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation

no code implementations21 Apr 2023 Jiachen Shen, Wenxuan Wang, Chen Chen, Jianbo Jiao, Jing Liu, Yan Zhang, Shanshan Song, Jiangyun Li

Thus, it is of increasing importance to fine-tune pre-trained models for medical volumetric segmentation tasks in a both effective and parameter-efficient manner.

Segmentation Transfer Learning

Is ChatGPT a Good Recommender? A Preliminary Study

1 code implementation20 Apr 2023 Junling Liu, Chao Liu, Peilin Zhou, Renjie Lv, Kang Zhou, Yan Zhang

We conduct human evaluations on two explainability-oriented tasks to more accurately evaluate the quality of contents generated by different models.

Recommendation Systems World Knowledge

Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views

1 code implementation ICCV 2023 Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang

One of the biggest challenges of this task is severe body truncation due to close social distances in egocentric scenarios, which brings large pose ambiguities for unseen body parts.

Human Mesh Recovery

Data-Efficient Image Quality Assessment with Attention-Panel Decoder

1 code implementation11 Apr 2023 Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang

Blind Image Quality Assessment (BIQA) is a fundamental task in computer vision, which however remains unresolved due to the complex distortion conditions and diversified image contents.

Blind Image Quality Assessment Decoder

PopulAtion Parameter Averaging (PAPA)

1 code implementation6 Apr 2023 Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien

Based on this idea, we propose PopulAtion Parameter Averaging (PAPA): a method that combines the generality of ensembling with the efficiency of weight averaging.

Local-to-Global Panorama Inpainting for Locale-Aware Indoor Lighting Prediction

no code implementations18 Mar 2023 Jiayang Bai, Zhen He, Shan Yang, Jie Guo, Zhenyu Chen, Yan Zhang, Yanwen Guo

Recent methods mostly rely on convolutional neural networks (CNNs) to fill the missing contents in the warped panorama.

HDR Reconstruction

Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image

1 code implementation ISPRS Journal of Photogrammetry and Remote Sensing 2023 Yan Zhang, Pengyuan Liu, Filip Biljecki

In this paper, we construct an urban topological map network using OpenStreetMap data in Wuhan, China, and compute a semantic representation of the scene as a whole at the street scale using a large-scale pre-trained model.

Graph Neural Network Time Series

Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers

1 code implementation16 Mar 2023 Jia Li, Yin Chen, Xuesong Zhang, Jiantao Nie, Ziqiang Li, Yangchen Yu, Yan Zhang, Richang Hong, Meng Wang

In this paper, we present our advanced solutions to the two sub-challenges of Affective Behavior Analysis in the wild (ABAW) 2023: the Emotional Reaction Intensity (ERI) Estimation Challenge and Expression (Expr) Classification Challenge.


Efficient Gridless DoA Estimation Method of Non-uniform Linear Arrays with Applications in Automotive Radars

no code implementations8 Mar 2023 Silin Gao, Zhe Zhang, Muhan Wang, Yan Zhang, Jie Zhao, Bingchen Zhang, Yue Wang, Yirong Wu

This paper focuses on the gridless direction-of-arrival (DoA) estimation for data acquired by non-uniform linear arrays (NLAs) in automotive applications.

Robust Trajectory and Offloading for Energy-Efficient UAV Edge Computing in Industrial Internet of Things

no code implementations8 Mar 2023 Xiao Tang, Hongrui Zhang, Ruonan Zhang, Deyun Zhou, Yan Zhang, Zhu Han

In this paper, we employ an unmanned aerial vehicle (UAV) as an edge server to assist IIoT data processing, while considering the practical issue of UAV jittering.


Slate-Aware Ranking for Recommendation

1 code implementation24 Feb 2023 Yi Ren, Xiao Han, Xu Zhao, Shenzheng Zhang, Yan Zhang

Therefore, the ranking stage is still essential for most applications to provide high-quality candidate set for the re-ranking stage.

Recommendation Systems Re-Ranking

Homophily-oriented Heterogeneous Graph Rewiring

no code implementations13 Feb 2023 Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang

To this end, we propose HDHGR, a homophily-oriented deep heterogeneous graph rewiring approach that modifies the HG structure to increase the performance of HGNN.

Graph Neural Network

USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval

1 code implementation17 Jan 2023 Yan Zhang, Zhong Ji, Di Wang, Yanwei Pang, Xuelong Li

(2) It limits the scale of negative sample pairs by employing the mini-batch based end-to-end training mechanism.

Contrastive Learning Retrieval +3

oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation

no code implementations3 Jan 2023 Jianhui Li, Zhennan Qin, Yijie Mei, Jingze Cui, Yunfei Song, Ciyong Chen, Yifei Zhang, Longsheng Du, Xianhang Cheng, Baihui Jin, Yan Zhang, Jason Ye, Eric Lin, Dan Lavery

We present oneDNN Graph Compiler, a tensor compiler that employs a hybrid approach of using techniques from both compiler optimization and expert-tuned kernels for high performance code generation of the deep neural network graph.

Code Generation Compiler Optimization

LEAD: Liberal Feature-based Distillation for Dense Retrieval

1 code implementation10 Dec 2022 Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Linjun Yang, Rangan Majumder, Nan Duan

Knowledge distillation is often used to transfer knowledge from a strong teacher model to a relatively weak student model.

Document Ranking Knowledge Distillation +2

CrossSplit: Mitigating Label Noise Memorization through Data Splitting

no code implementations3 Dec 2022 JiHye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien

We approach the problem of improving robustness of deep learning algorithms in the presence of label noise.


In vivo labeling and quantitative imaging of neurons using MRI

no code implementations13 Nov 2022 Shana Li, Xiang Xu, Canjun Li, Ziyan Xu, Qiong Ye, Yan Zhang, Chunlei Cang, Jie Wen

Developing in vivo neuronal labeling and imaging techniques is crucial for studying the structure and function of neural circuits.

Equivariance with Learned Canonicalization Functions

no code implementations11 Nov 2022 Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh

Symmetry-based neural networks often constrain the architecture in order to achieve invariance or equivariance to a group of transformations.

Image Classification Point Cloud Classification

Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework

1 code implementation30 Oct 2022 Yiming Chen, Yan Zhang, Bin Wang, Zuozhu Liu, Haizhou Li

Most sentence embedding techniques heavily rely on expensive human-annotated sentence pairs as the supervised signals.

Domain Adaptation Sentence +3

Contextual Learning in Fourier Complex Field for VHR Remote Sensing Images

1 code implementation28 Oct 2022 Yan Zhang, Xiyuan Gao, Qingyan Duan, Jiaxu Leng, Xiao Pu, Xinbo Gao

By stacking various layers of CSA blocks, we propose the Fourier Complex Transformer (FCT) model to learn global contextual information from VHR aerial images following the hierarchical manners.

Classification Image Classification

Analyzing and Evaluating Faithfulness in Dialogue Summarization

1 code implementation21 Oct 2022 Bin Wang, Chen Zhang, Yan Zhang, Yiming Chen, Haizhou Li

The factual correctness of summaries has the highest priority before practical applications.

Text Summarization

A High Fidelity Simulation Framework for Potential Safety Benefits Estimation of Cooperative Pedestrian Perception

no code implementations17 Oct 2022 Longrui Chen, Yan Zhang, Wenjie Jiang, Jiangtao Gong, Jiahao Shen, Mengdi Chu, Chuxuan Li, Yifeng Pan, Yifeng Shi, Nairui Luo, Xu Gao, Jirui Yuan, Guyue Zhou, Yaqin Zhang

This paper proposes a high-fidelity simulation framework that can estimate the potential safety benefits of vehicle-to-infrastructure (V2I) pedestrian safety strategies.

LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation

no code implementations6 Aug 2022 Yin Zhang, Can Xu, XianJun Wu, Yan Zhang, LiGang Dong, Weigang Wang

Recently, many efforts have been devoted to improving Tag-aware recommendation systems (TRS) with Graph Convolutional Networks (GCN), which has become new state-of-the-art for the general recommendation.

Collaborative Filtering Recommendation Systems +1

PC-GANs: Progressive Compensation Generative Adversarial Networks for Pan-sharpening

no code implementations29 Jul 2022 Yinghui Xing, Shuyuan Yang, Song Wang, Yan Zhang, Yanning Zhang

Most of the available deep learning-based pan-sharpening methods sharpen the multispectral images through a one-step scheme, which strongly depends on the reconstruction ability of the network.

Generative Adversarial Network Pansharpening

Compositional Human-Scene Interaction Synthesis with Semantic Control

1 code implementation26 Jul 2022 Kaifeng Zhao, Shaofei Wang, Yan Zhang, Thabo Beeler, Siyu Tang

Furthermore, inspired by the compositional nature of interactions that humans can simultaneously interact with multiple objects, we define interaction semantics as the composition of varying numbers of atomic action-object pairs.

Instance Segmentation Semantic Segmentation

Pansharpening via Frequency-Aware Fusion Network with Explicit Similarity Constraints

1 code implementation18 Jul 2022 Yinghui Xing, Yan Zhang, Houjun He, Xiuwei Zhang, Yanning Zhang

The process of fusing a high spatial resolution (HR) panchromatic (PAN) image and a low spatial resolution (LR) multispectral (MS) image to obtain an HRMS image is known as pansharpening.


Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

1 code implementation26 Jun 2022 Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim

Based on this observation, we intuitively propose to remove the GNN propagation part, while the readout module will take on more responsibility in the model reasoning process.

Session-Based Recommendations

Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation

no code implementations14 Jun 2022 Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang, Jiangyun Li

For 3D medical image (e. g. CT and MRI) segmentation, the difficulty of segmenting each slice in a clinical case varies greatly.

Brain Tumor Segmentation Image Segmentation +5

Joint Communication and Sensing: Models and Potential of Using MIMO

no code implementations19 May 2022 Xinran Fang, Wei Feng, Yunfei Chen, Ning Ge, Yan Zhang

In this survey, we discuss joint communication and sensing (JCAS) in the context of MIMO.

ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification

no code implementations COLING 2022 Meiqi Chen, Yixin Cao, Kunquan Deng, Mukai Li, Kun Wang, Jing Shao, Yan Zhang

In this paper, we propose a novel Event Relational Graph TransfOrmer (ERGO) framework for DECI, which improves existing state-of-the-art (SOTA) methods upon two aspects.

Event Causality Identification Node Classification +2

Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations

no code implementations1 Apr 2022 Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao

Motivated by the idea of meta-augmentation, in this paper, by treating a user's preference over items as a task, we propose a so-called Diverse Preference Augmentation framework with multiple source domains based on meta-learning (referred to as MetaDPA) to i) generate diverse ratings in a new domain of interest (known as target domain) to handle overfitting on the case of sparse interactions, and to ii) learn a preference model in the target domain via a meta-learning scheme to alleviate cold-start issues.

Domain Adaptation Meta-Learning +1

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System

no code implementations28 Mar 2022 Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng

Moreover, to deploy AMCAD in Taobao, one of the largest ecommerce platforms with hundreds of million users, we design an efficient two-layer online retrieval framework for the task of graph based advertisement retrieval.

Graph Embedding Information Retrieval +1

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks

1 code implementation ACL 2022 Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si

Traditionally, a debate usually requires a manual preparation process, including reading plenty of articles, selecting the claims, identifying the stances of the claims, seeking the evidence for the claims, etc.

Claim-Evidence Pair Extraction (CEPE) Claim Extraction with Stance Classification (CESC) +1

Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction

no code implementations13 Feb 2022 Jiayang Bai, Jie Guo, Chenchen Wan, Zhenyu Chen, Zhen He, Shan Yang, Piaopiao Yu, Yan Zhang, Yanwen Guo

At its core is a new lighting model (dubbed DSGLight) based on depth-augmented Spherical Gaussians (SG) and a Graph Convolutional Network (GCN) that infers the new lighting representation from a single LDR image of limited field-of-view.

Graph Learning Lighting Estimation

Learning Robust Representation through Graph Adversarial Contrastive Learning

no code implementations31 Jan 2022 Jiayan Guo, Shangyang Li, Yue Zhao, Yan Zhang

Existing studies show that node representations generated by graph neural networks (GNNs) are vulnerable to adversarial attacks, such as unnoticeable perturbations of adjacent matrix and node features.

Contrastive Learning Graph Representation Learning +2

Learning Multi-granularity User Intent Unit for Session-based Recommendation

1 code implementation25 Dec 2021 Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang

Specifically, we creatively propose Multi-granularity Intent Heterogeneous Session Graph which captures the interactions between different granularity intent units and relieves the burden of long-dependency.

Graph Neural Network Session-Based Recommendations

SAGA: Stochastic Whole-Body Grasping with Contact

1 code implementation19 Dec 2021 Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang

Given an initial pose and the generated whole-body grasping pose as the start and end of the motion respectively, we design a novel contact-aware generative motion infilling module to generate a diverse set of grasp-oriented motions.


The Wanderings of Odysseus in 3D Scenes

no code implementations CVPR 2022 Yan Zhang, Siyu Tang

In our solution, we decompose the long-term motion into a time sequence of motion primitives.

Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQL

1 code implementation16 Dec 2021 Yuntao Li, Hanchu Zhang, Yutian Li, Sirui Wang, Wei Wu, Yan Zhang

Conversational text-to-SQL aims at converting multi-turn natural language queries into their corresponding SQL (Structured Query Language) representations.

Natural Language Queries Semantic Parsing +1

EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices

1 code implementation14 Dec 2021 Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo, Siyu Tang

Key to reasoning about interactions is to understand the body pose and motion of the interaction partner from the egocentric view.

Motion Estimation

EndHiC: assemble large contigs into chromosomal-level scaffolds using the Hi-C links from contig ends

1 code implementation30 Nov 2021 Sen Wang, Hengchao Wang, Fan Jiang, Anqi Wang, Hangwei Liu, Hanbo Zhao, Boyuan Yang, Dong Xu, Yan Zhang, Wei Fan

As the Hi-C links of two adjacent contigs concentrate only at the neighbor ends of the contigs, larger contig size will reduce the power to differentiate adjacent (signal) and non-adjacent (noise) contig linkages, leading to a higher rate of mis-assembly.

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation

1 code implementation12 Nov 2021 Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang

Real-time location inference of social media users is the fundamental of some spatial applications such as localized search and event detection.

Event Detection

Revisiting Self-Training for Few-Shot Learning of Language Model

1 code implementation EMNLP 2021 Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li

In this work, we revisit the self-training technique for language model fine-tuning and present a state-of-the-art prompt-based few-shot learner, SFLM.

Benchmarking Few-Shot Learning +6

r-GAT: Relational Graph Attention Network for Multi-Relational Graphs

no code implementations13 Sep 2021 Meiqi Chen, Yuan Zhang, Xiaoyu Kou, Yuntao Li, Yan Zhang

To tackle this issue, we propose r-GAT, a relational graph attention network to learn multi-channel entity representations.

Graph Attention Knowledge Graphs +1

Learning Motion Priors for 4D Human Body Capture in 3D Scenes

1 code implementation ICCV 2021 Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, Siyu Tang

To prove the effectiveness of the proposed motion priors, we combine them into a novel pipeline for 4D human body capture in 3D scenes.


A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks

no code implementations19 Apr 2021 Bo Yang, Omobayode Fagbohungbe, Xuelin Cao, Chau Yuen, Lijun Qian, Dusit Niyato, Yan Zhang

In this paper, we propose a transfer learning (TL)-enabled edge-CNN framework for 5G industrial edge networks with privacy-preserving characteristic.

Privacy Preserving Transfer Learning

LEAP: Learning Articulated Occupancy of People

1 code implementation CVPR 2021 Marko Mihajlovic, Yan Zhang, Michael J. Black, Siyu Tang

Substantial progress has been made on modeling rigid 3D objects using deep implicit representations.

Learning to Represent and Predict Sets with Deep Neural Networks

no code implementations8 Mar 2021 Yan Zhang

In this thesis, we develop various techniques for working with sets in machine learning.

Formal Verification of Stochastic Systems with ReLU Neural Network Controllers

no code implementations8 Mar 2021 Shiqi Sun, Yan Zhang, Xusheng Luo, Panagiotis Vlantis, Miroslav Pajic, Michael M. Zavlanos

Using this abstraction, we propose a method to compute tight bounds on the safety probabilities of nodes in this graph, despite possible over-approximations of the transition probabilities between these nodes.

Robot Navigation

Measurement of the absolute branching fractions for purely leptonic $D_s^+$ decays

no code implementations23 Feb 2021 BESIII Collaboration, M. Ablikim, M. N. Achasov, P. Adlarson, S. Ahmed, M. Albrecht, R. Aliberti, A. Amoroso, M. R. An, Q. An, X. H. Bai, Y. Bai, O. Bakina, R. Baldini Ferroli, I. Balossino, Y. Ban, K. Begzsuren, N. Berger, M. Bertani, D. Bettoni, F. Bianchi, J. Bloms, A. Bortone, I. Boyko, R. A. Briere, H. Cai, X. Cai, A. Calcaterra, G. F. Cao, N. Cao, S. A. Cetin, J. F. Chang, W. L. Chang, G. Chelkov, D. Y. Chen, G. Chen, H. S. Chen, M. L. Chen, S. J. Chen, X. R. Chen, Y. B. Chen, Z. J Chen, W. S. Cheng, G. Cibinetto, F. Cossio, X. F. Cui, H. L. Dai, X. C. Dai, A. Dbeyssi, R. E. de Boer, D. Dedovich, Z. Y. Deng, A. Denig, I. Denysenko, M. Destefanis, F. De Mori, Y. Ding, C. Dong, J. Dong, L. Y. Dong, M. Y. Dong, X. Dong, S. X. Du, Y. L. Fan, J. Fang, S. S. Fang, Y. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, J. H. Feng, M. Fritsch, C. D. Fu, Y. Gao, Y. G. Gao, I. Garzia, P. T. Ge, C. Geng, E. M. Gersabeck, A Gilman, K. Goetzen, L. Gong, W. X. Gong, W. Gradl, M. Greco, L. M. Gu, M. H. Gu, S. Gu, Y. T. Gu, C. Y Guan, A. Q. Guo, L. B. Guo, R. P. Guo, Y. P. Guo, A. Guskov, T. T. Han, W. Y. Han, X. Q. Hao, F. A. Harris, K. L. He, F. H. Heinsius, C. H. Heinz, T. Held, Y. K. Heng, C. Herold, M. Himmelreich, T. Holtmann, G. Y. Hou, Y. R. Hou, Z. L. Hou, H. M. Hu, J. F. Hu, T. Hu, Y. Hu, G. S. Huang, L. Q. Huang, X. T. Huang, Y. P. Huang, Z. Huang, T. Hussain, N Hüsken, W. Ikegami Andersson, W. Imoehl, M. Irshad, S. Jaeger, S. Janchiv, Q. Ji, Q. P. Ji, X. B. Ji, X. L. Ji, Y. Y. Ji, H. B. Jiang, X. S. Jiang, J. B. Jiao, Z. Jiao, S. Jin, Y. Jin, M. Q. Jing, T. Johansson, N. Kalantar-Nayestanaki, X. S. Kang, R. Kappert, M. Kavatsyuk, B. C. Ke, I. K. Keshk, A. Khoukaz, P. Kiese, R. Kiuchi, R. Kliemt, L. Koch, O. B. Kolcu, B. Kopf, M. Kuemmel, M. Kuessner, A. Kupsc, M. G. Kurth, W. Kühn, J. J. Lane, J. S. Lange, P. Larin, A. Lavania, L. Lavezzi, Z. H. Lei, H. Leithoff, M. Lellmann, T. Lenz, C. Li, C. H. Li, Cheng Li, D. M. Li, F. Li, G. Li, H. Li, H. B. Li, H. J. Li, J. L. Li, J. Q. Li, J. S. Li, Ke Li, L. K. Li, Lei LI, P. R. Li, S. Y. Li, W. D. Li, W. G. Li, X. H. Li, X. L. Li, Xiaoyu Li, Z. Y. Li, H. Liang, Y. F. Liang, Y. T. Liang, G. R. Liao, L. Z. Liao, J. Libby, C. X. Lin, B. J. Liu, C. X. Liu, D. Liu, F. H. Liu, Fang Liu, Feng Liu, H. B. Liu, H. M. Liu, Huanhuan Liu, Huihui Liu, J. B. Liu, J. L. Liu, J. Y. Liu, K. Liu, K. Y. Liu, L. Liu, M. H. Liu, P. L. Liu, Q. Liu, S. B. Liu, Shuai Liu, T. Liu, W. M. Liu, X. Liu, Y. Liu, Y. B. Liu, Z. A. Liu, Z. Q. Liu, X. C. Lou, F. X. Lu, H. J. Lu, J. D. Lu, J. G. Lu, X. L. Lu, Y. Lu, Y. P. Lu, C. L. Luo, M. X. Luo, P. W. Luo, T. Luo, X. L. Luo, S. Lusso, X. R. Lyu, F. C. Ma, H. L. Ma, L. L. Ma, M. M. Ma, Q. M. Ma, R. Q. Ma, R. T. Ma, X. X. Ma, X. Y. Ma, F. E. Maas, M. Maggiora, S. Maldaner, S. Malde, A. Mangoni, Y. J. Mao, Z. P. Mao, S. Marcello, Z. X. Meng, J. G. Messchendorp, G. Mezzadri, T. J. Min, R. E. Mitchell, X. H. Mo, Y. J. Mo, N. Yu. Muchnoi, H. Muramatsu, S. Nakhoul, Y. Nefedov, F. Nerling, I. B. Nikolaev, Z. Ning, S. Nisar, S. L. Olsen, Q. Ouyang, S. Pacetti, X. Pan, Y. Pan, A. Pathak, P. Patteri, M. Pelizaeus, H. P. Peng, K. Peters, J. Pettersson, J. L. Ping, R. G. Ping, R. Poling, V. Prasad, H. Qi, H. R. Qi, K. H. Qi, M. Qi, T. Y. Qi, S. Qian, W. B. Qian, Z. Qian, C. F. Qiao, L. Q. Qin, X. P. Qin, X. S. Qin, Z. H. Qin, J. F. Qiu, S. Q. Qu, K. H. Rashid, K. Ravindran, C. F. Redmer, A. Rivetti, V. Rodin, M. Rolo, G. Rong, Ch. Rosner, M. Rump, H. S. Sang, A. Sarantsev, Y. Schelhaas, C. Schnier, K. Schoenning, M. Scodeggio, D. C. Shan, W. Shan, X. Y. Shan, J. F. Shangguan, M. Shao, C. P. Shen, H. F. Shen, P. X. Shen, X. Y. Shen, H. C. Shi, R. S. Shi, X. Shi, X. D Shi, J. J. Song, W. M. Song, Y. X. Song, S. Sosio, S. Spataro, K. X. Su, P. P. Su, F. F. Sui, G. X. Sun, H. K. Sun, J. F. Sun, L. Sun, S. S. Sun, T. Sun, W. Y. Sun, X Sun, Y. J. Sun, Y. K. Sun, Y. Z. Sun, Z. T. Sun, Y. H. Tan, Y. X. Tan, C. J. Tang, G. Y. Tang, J. Tang, J. X. Teng, V. Thoren, W. H. Tian, Y. T. Tian, I. Uman, B. Wang, C. W. Wang, D. Y. Wang, H. J. Wang, H. P. Wang, K. Wang, L. L. Wang, M. Wang, M. Z. Wang, Meng Wang, W. Wang, W. H. Wang, W. P. Wang, X. Wang, X. F. Wang, X. L. Wang, Y. Wang, Y. D. Wang, Y. F. Wang, Y. Q. Wang, Y. Y. Wang, Z. Wang, Z. Y. Wang, Ziyi Wang, Zongyuan Wang, D. H. Wei, P. Weidenkaff, F. Weidner, S. P. Wen, D. J. White, U. Wiedner, G. Wilkinson, M. Wolke, L. Wollenberg, J. F. Wu, L. H. Wu, L. J. Wu, X. Wu, Z. Wu, L. Xia, H. Xiao, S. Y. Xiao, Z. J. Xiao, X. H. Xie, Y. G. Xie, Y. H. Xie, T. Y. Xing, G. F. Xu, Q. J. Xu, W. Xu, X. P. Xu, Y. C. Xu, F. Yan, L. Yan, W. B. Yan, W. C. Yan, Xu Yan, H. J. Yang, H. X. Yang, L. Yang, S. L. Yang, Y. X. Yang, Yifan Yang, Zhi Yang, M. Ye, M. H. Ye, J. H. Yin, Z. Y. You, B. X. Yu, C. X. Yu, G. Yu, J. S. Yu, T. Yu, C. Z. Yuan, L. Yuan, X. Q. Yuan, Y. Yuan, Z. Y. Yuan, C. X. Yue, A. Yuncu, A. A. Zafar, Y. Zeng, A. Q. Zhang, B. X. Zhang, Guangyi Zhang, H. Zhang, H. H. Zhang, H. Y. Zhang, J. J. Zhang, J. L. Zhang, J. Q. Zhang, J. W. Zhang, J. Y. Zhang, J. Z. Zhang, Jianyu Zhang, Jiawei Zhang, L. M. Zhang, L. Q. Zhang, Lei Zhang, S. Zhang, S. F. Zhang, Shulei Zhang, X. D. Zhang, X. Y. Zhang, Y. Zhang, Y. H. Zhang, Y. T. Zhang, Yan Zhang, Yao Zhang, Yi Zhang, Z. H. Zhang, Z. Y. Zhang, G. Zhao, J. Zhao, J. Y. Zhao, J. Z. Zhao, Lei Zhao, Ling Zhao, M. G. Zhao, Q. Zhao, S. J. Zhao, Y. B. Zhao, Y. X. Zhao, Z. G. Zhao, A. Zhemchugov, B. Zheng, J. P. Zheng, Y. Zheng, Y. H. Zheng, B. Zhong, C. Zhong, L. P. Zhou, Q. Zhou, X. Zhou, X. K. Zhou, X. R. Zhou, X. Y. Zhou, A. N. Zhu, J. Zhu, K. Zhu, K. J. Zhu, S. H. Zhu, T. J. Zhu, W. J. Zhu, Y. C. Zhu, Z. A. Zhu, B. S. Zou, J. H. Zou

Constraining our measurement to the Standard Model expectation of lepton universality ($R=9. 75$), we find the more precise results $\cal B(D_s^+\to \tau^+\nu_\tau) = (5. 22\pm0. 10\pm 0. 14)\times10^{-2}$ and $A_{\it CP}(\tau^\pm\nu_\tau) = (-0. 1\pm1. 9\pm1. 0)\%$.

High Energy Physics - Experiment

Cross section measurement of $e^+e^- \to p\bar{p}η$ and $e^+e^- \to p\bar{p}ω$ at center-of-mass energies between 3.773 GeV and 4.6 GeV

no code implementations8 Feb 2021 M. Ablikim, M. N. Achasov, P. Adlarson, S. Ahmed, M. Albrecht, R. Aliberti, A. Amoroso, Q. An, X. H. Bai, Y. Bai, O. Bakina, R. Baldini Ferroli, I. Balossino, Y. Ban, K. Begzsuren, N. Berger, M. Bertani, D. Bettoni, F. Bianchi, J Biernat, J. Bloms, A. Bortone, I. Boyko, R. A. Briere, H. Cai, X. Cai, A. Calcaterra, G. F. Cao, N. Cao, S. A. Cetin, J. F. Chang, W. L. Chang, G. Chelkov, D. Y. Chen, G. Chen, H. S. Chen, M. L. Chen, S. J. Chen, X. R. Chen, Y. B. Chen, Z. J Chen, W. S. Cheng, G. Cibinetto, F. Cossio, X. F. Cui, H. L. Dai, X. C. Dai, A. Dbeyssi, R. E. de Boer, D. Dedovich, Z. Y. Deng, A. Denig, I. Denysenko, M. Destefanis, F. De Mori, Y. Ding, C. Dong, J. Dong, L. Y. Dong, M. Y. Dong, X. Dong, S. X. Du, J. Fang, S. S. Fang, Y. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, M. Fritsch, C. D. Fu, Y. Gao, Y. G. Gao, I. Garzia, E. M. Gersabeck, A. Gilman, K. Goetzen, L. Gong, W. X. Gong, W. Gradl, M. Greco, L. M. Gu, M. H. Gu, S. Gu, Y. T. Gu, C. Y Guan, A. Q. Guo, L. B. Guo, R. P. Guo, Y. P. Guo, A. Guskov, T. T. Han, X. Q. Hao, F. A. Harris, K. L. He, F. H. Heinsius, C. H. Heinz, T. Held, Y. K. Heng, C. Herold, M. Himmelreich, T. Holtmann, Y. R. Hou, Z. L. Hou, H. M. Hu, J. F. Hu, T. Hu, Y. Hu, G. S. Huang, L. Q. Huang, X. T. Huang, Y. P. Huang, Z. Huang, T. Hussain, N. Hüsken, W. Ikegami Andersson, W. Imoehl, M. Irshad, S. Jaeger, S. Janchiv, Q. Ji, Q. P. Ji, X. B. Ji, X. L. Ji, H. B. Jiang, X. S. Jiang, J. B. Jiao, Z. Jiao, S. Jin, Y. Jin, T. Johansson, N. Kalantar-Nayestanaki, X. S. Kang, R. Kappert, M. Kavatsyuk, B. C. Ke, I. K. Keshk, A. Khoukaz, P. Kiese, R. Kiuchi, R. Kliemt, L. Koch, O. B. Kolcu, B. Kopf, M. Kuemmel, M. Kuessner, A. Kupsc, M. G. Kurth, W. Kühn, J. J. Lane, J. S. Lange, P. Larin, A. Lavania, L. Lavezzi, Z. H. Lei, H. Leithoff, M. Lellmann, T. Lenz, C. Li, C. H. Li, Cheng Li, D. M. Li, F. Li, G. Li, H. Li, H. B. Li, H. J. Li, J. L. Li, J. Q. Li, Ke Li, L. K. Li, Lei LI, P. L. Li, P. R. Li, S. Y. Li, W. D. Li, W. G. Li, X. H. Li, X. L. Li, Z. Y. Li, H. Liang, Y. F. Liang, Y. T. Liang, G. R. Liao, L. Z. Liao, J. Libby, C. X. Lin, B. J. Liu, C. X. Liu, D. Liu, F. H. Liu, Fang Liu, Feng Liu, H. B. Liu, H. M. Liu, Huanhuan Liu, Huihui Liu, J. B. Liu, J. Y. Liu, K. Liu, K. Y. Liu, L. Liu, M. H. Liu, Q. Liu,