Search Results for author: Bo Zhang

Found 268 papers, 132 papers with code

Understanding and Stabilizing GANs' Training Dynamics Using Control Theory

no code implementations ICML 2020 Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang

There are existing efforts that model the training dynamics of GANs in the parameter space but the analysis cannot directly motivate practically effective stabilizing methods.

Integer Scale: A Free Lunch for Faster Fine-grained Quantization of LLMs

no code implementations23 May 2024 Qingyuan Li, Ran Meng, Yiduo Li, Bo Zhang, Yifan Lu, Yerui Sun, Lin Ma, Yuchen Xie

We introduce Integer Scale, a novel post-training quantization scheme for large language models that effectively resolves the inference bottleneck in current fine-grained quantization approaches while maintaining similar accuracies.

Quantization

ECLIPSE: Semantic Entropy-LCS for Cross-Lingual Industrial Log Parsing

no code implementations22 May 2024 Wei zhang, Xianfu Cheng, Yi Zhang, Jian Yang, Hongcheng Guo, Zhoujun Li, Xiaolin Yin, Xiangyuan Guan, Xu Shi, Liangfan Zheng, Bo Zhang

Existing log parsers, while highly effective on standardized public datasets, struggle to maintain performance and efficiency when confronted with the sheer scale and diversity of real-world industrial logs.

Language Modelling Large Language Model +2

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks

no code implementations21 May 2024 Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan

Exploring the loss landscape offers insights into the inherent principles of deep neural networks (DNNs).

Federated Learning

Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation

1 code implementation18 May 2024 Bo Zhang, Chao Yang

In these researches, the neural network models are usually designed depend on human experience or trial and error.

Bayesian Optimization

Distilling Implicit Multimodal Knowledge into LLMs for Zero-Resource Dialogue Generation

no code implementations16 May 2024 Bo Zhang, Hui Ma, Jian Ding, Jian Wang, Bo Xu, Hongfei Lin

Integrating multimodal knowledge into large language models (LLMs) represents a significant advancement in dialogue generation capabilities.

Dialogue Generation Knowledge Distillation

UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition

1 code implementation23 Apr 2024 Bin Wang, Zhuangcheng Gu, Chao Xu, Bo Zhang, Botian Shi, Conghui He

This paper presents the UniMER dataset to provide the first study on Mathematical Expression Recognition (MER) towards complex real-world scenarios.

Image Augmentation

Event-Enhanced Snapshot Compressive Videography at 10K FPS

no code implementations11 Apr 2024 Bo Zhang, Jinli Suo, Qionghai Dai

To unlock the potential of conventional snapshot compressive videography, we propose a novel hybrid "intensity+event" imaging scheme by incorporating an event camera into a video SCI setup.

Video Frame Interpolation

Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression

1 code implementation23 Mar 2024 Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang

Recent Vision Transformer Compression (VTC) works mainly follow a two-stage scheme, where the importance score of each model unit is first evaluated or preset in each submodule, followed by the sparsity score evaluation according to the target sparsity constraint.

Dimensionality Reduction

Shadow Generation for Composite Image Using Diffusion model

1 code implementation22 Mar 2024 Qingyang Liu, Junqi You, Jianting Wang, Xinhao Tao, Bo Zhang, Li Niu

In the realm of image composition, generating realistic shadow for the inserted foreground remains a formidable challenge.

Image-to-Image Translation

mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding

1 code implementation19 Mar 2024 Anwen Hu, Haiyang Xu, Jiabo Ye, Ming Yan, Liang Zhang, Bo Zhang, Chen Li, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou

In this work, we emphasize the importance of structure information in Visual Document Understanding and propose the Unified Structure Learning to boost the performance of MLLMs.

document understanding Optical Character Recognition (OCR)

DeepSeek-VL: Towards Real-World Vision-Language Understanding

2 code implementations8 Mar 2024 Haoyu Lu, Wen Liu, Bo Zhang, Bingxuan Wang, Kai Dong, Bo Liu, Jingxiang Sun, Tongzheng Ren, Zhuoshu Li, Hao Yang, Yaofeng Sun, Chengqi Deng, Hanwei Xu, Zhenda Xie, Chong Ruan

The DeepSeek-VL family (both 1. 3B and 7B models) showcases superior user experiences as a vision-language chatbot in real-world applications, achieving state-of-the-art or competitive performance across a wide range of visual-language benchmarks at the same model size while maintaining robust performance on language-centric benchmarks.

Chatbot Language Modelling +3

VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

1 code implementation1 Mar 2024 Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen

Large language models are built on top of a transformer-based architecture to process textual inputs.

Image Classification Image Generation +2

Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought Merging

1 code implementation28 Feb 2024 Wei zhang, Hongcheng Guo, Anjie Le, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Shi Xu, Runqiang Zang, Liangfan Zheng, Bo Zhang

Log parsing, which entails transforming raw log messages into structured templates, constitutes a critical phase in the automation of log analytics.

Log Parsing

Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models

1 code implementation22 Feb 2024 Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li

Specifically, we propose, for the first time to our best knowledge, post-training approaches for task-agnostic and task-specific expert pruning and skipping of MoE LLMs, tailored to improve deployment efficiency while maintaining model performance across a wide range of tasks.

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

1 code implementation6 Feb 2024 Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, Chunhua Shen

We introduce MobileVLM V2, a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an improved training scheme tailored for mobile VLMs, and rich high-quality dataset curation can substantially benefit VLMs' performance.

AutoML Language Modelling

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving

1 code implementation6 Feb 2024 Guohang Yan, Jiahao Pi, Jianfei Guo, Zhaotong Luo, Min Dou, Nianchen Deng, Qiusheng Huang, Daocheng Fu, Licheng Wen, Pinlong Cai, Xing Gao, Xinyu Cai, Bo Zhang, Xuemeng Yang, Yeqi Bai, Hongbin Zhou, Botian Shi

With the development of implicit rendering technology and in-depth research on using generative models to produce data at scale, we propose OASim, an open and adaptive simulator and autonomous driving data generator based on implicit neural rendering.

Autonomous Driving Neural Rendering +1

Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm

no code implementations6 Feb 2024 Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan

The pretraining-finetuning paradigm has become the prevailing trend in modern deep learning.

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection

1 code implementation29 Jan 2024 Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu

To our knowledge, for the very first time in lidar-based 3D detection tasks, the PTQ INT8 model's accuracy is almost the same as the FP32 model while enjoying $3\times$ inference speedup.

3D Object Detection Autonomous Vehicles +3

MLAD: A Unified Model for Multi-system Log Anomaly Detection

no code implementations15 Jan 2024 Runqiang Zang, Hongcheng Guo, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Xu Shi, Liangfan Zheng, Bo Zhang

In spite of the rapid advancements in unsupervised log anomaly detection techniques, the current mainstream models still necessitate specific training for individual system datasets, resulting in costly procedures and limited scalability due to dataset size, thereby leading to performance bottlenecks.

Anomaly Detection Relational Reasoning +1

An Event-Oriented Diffusion-Refinement Method for Sparse Events Completion

no code implementations6 Jan 2024 Bo Zhang, Yuqi Han, Jinli Suo, Qionghai Dai

Event cameras or dynamic vision sensors (DVS) record asynchronous response to brightness changes instead of conventional intensity frames, and feature ultra-high sensitivity at low bandwidth.

Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction

no code implementations21 Dec 2023 Jingdong Zhang, Jiayuan Fan, Peng Ye, Bo Zhang, Hancheng Ye, Baopu Li, Yancheng Cai, Tao Chen

In this work, we propose to learn a comprehensive intermediate feature globally from both task-generic and task-specific features, we reveal an important fact that this intermediate feature, namely the bridge feature, is a good solution to the above issues.

Decoder Multi-Task Learning

Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation

no code implementations12 Dec 2023 Yuanbin Wang, Shaofei Huang, Yulu Gao, Zhen Wang, Rui Wang, Kehua Sheng, Bo Zhang, Si Liu

In this work, we focus on zero-shot point cloud semantic segmentation and propose a simple yet effective baseline to transfer the visual-linguistic knowledge implied in CLIP to point cloud encoder at both feature and output levels.

3D Semantic Segmentation Point Cloud Segmentation +2

Lenna: Language Enhanced Reasoning Detection Assistant

1 code implementation5 Dec 2023 Fei Wei, Xinyu Zhang, Ailing Zhang, Bo Zhang, Xiangxiang Chu

To evaluate the reasoning capability of Lenna, we construct a ReasonDet dataset to measure its performance on reasoning-based detection.

World Knowledge

Masked Autoencoders Are Robust Neural Architecture Search Learners

no code implementations20 Nov 2023 Yiming Hu, Xiangxiang Chu, Bo Zhang

Neural Architecture Search (NAS) currently relies heavily on labeled data, which is both expensive and time-consuming to acquire.

Decoder Image Reconstruction +1

MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization

1 code implementation6 Nov 2023 Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang

Based on this, we propose a relative structural entropy-based position encoding and a multi-head attention masking scheme based on multi-layer encoding trees.

Management Position +2

A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations

1 code implementation31 Oct 2023 Hui Ma, Jian Wang, Hongfei Lin, Bo Zhang, Yijia Zhang, Bo Xu

Emotion recognition in conversations (ERC), the task of recognizing the emotion of each utterance in a conversation, is crucial for building empathetic machines.

Emotion Recognition in Conversation Multimodal Emotion Recognition

Virtual Accessory Try-On via Keypoint Hallucination

no code implementations26 Oct 2023 Junhong Gou, Bo Zhang, Li Niu, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang

Specifically, our approach learns the human body priors and hallucinates the target locations of specified foreground keypoints in the background.

Hallucination Semantic Segmentation +1

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

1 code implementation25 Oct 2023 Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang, Wen Liu, Zhenda Xie, Yebin Liu

The score distillation from this 3D-aware diffusion prior provides view-consistent guidance for the scene.

3D Generation

Multiple Key-value Strategy in Recommendation Systems Incorporating Large Language Model

no code implementations25 Oct 2023 Dui Wang, Xiangyu Hou, XiaoHui Yang, Bo Zhang, Renbing Chen, Daiyue Xue

Recommendation system (RS) plays significant roles in matching users information needs for Internet applications, and it usually utilizes the vanilla neural network as the backbone to handle embedding details.

Language Modelling Large Language Model +1

Improving Seq2Seq Grammatical Error Correction via Decoding Interventions

1 code implementation23 Oct 2023 Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang

In this paper, we propose a unified decoding intervention framework that employs an external critic to assess the appropriateness of the token to be generated incrementally, and then dynamically influence the choice of the next token.

Decoder Grammatical Error Correction +1

DreamCom: Finetuning Text-guided Inpainting Model for Image Composition

no code implementations27 Sep 2023 Lingxiao Lu, Jiangtong Li, Bo Zhang, Li Niu

The goal of image composition is merging a foreground object into a background image to obtain a realistic composite image.

Image Inpainting Object +1

StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding

1 code implementation20 Sep 2023 Renqiu Xia, Bo Zhang, Haoyang Peng, Hancheng Ye, Xiangchao Yan, Peng Ye, Botian Shi, Yu Qiao, Junchi Yan

Charts are common in literature across different scientific fields, conveying rich information easily accessible to readers.

Ranked #19 on Chart Question Answering on ChartQA (using extra training data)

Chart Question Answering Language Modelling +2

Learning Point-wise Abstaining Penalty for Point Cloud Anomaly Detection

1 code implementation19 Sep 2023 Shaocong Xu, Pengfei Li, Xinyu Liu, Qianpu Sun, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao

We demonstrate that learning different abstaining penalties, apart from point-wise penalty, for different types of (synthesized) outliers can further improve the performance.

Anomaly Detection Autonomous Driving +1

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving

1 code implementation19 Sep 2023 Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, Yu Qiao

Our contributions are threefold: (1) Occupancy prediction is shown to be promising for learning general representations, which is demonstrated by extensive experiments on plenty of datasets and tasks.

3D Object Detection Autonomous Driving +3

Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors

1 code implementation15 Sep 2023 Yancheng Cai, Bo Zhang, Baopu Li, Tao Chen, Hongliang Yan, Jingdong Zhang, Jiahao Xu

Therefore, we focus on cross-domain background feature alignment while minimizing the influence of foreground features on the cross-domain alignment stage.

Pedestrian Detection

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

2 code implementations11 Sep 2023 Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao

Domain shifts such as sensor type changes and geographical situation variations are prevalent in Autonomous Driving (AD), which poses a challenge since AD model relying on the previous domain knowledge can be hardly directly deployed to a new domain without additional costs.

Autonomous Driving Domain Generalization

Norm Tweaking: High-performance Low-bit Quantization of Large Language Models

no code implementations6 Sep 2023 Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu

On GLM-130B and OPT-66B, our method even achieves the same level of accuracy at 2-bit quantization as their float ones.

Model Compression Quantization

FPTQ: Fine-grained Post-Training Quantization for Large Language Models

no code implementations30 Aug 2023 Qingyuan Li, Yifan Zhang, Liang Li, Peng Yao, Bo Zhang, Xiangxiang Chu, Yerui Sun, Li Du, Yuchen Xie

In this study, we propose a novel W4A8 post-training quantization method for the available open-sourced LLMs, which combines the advantages of both two recipes.

Quantization

ControlCom: Controllable Image Composition using Diffusion Model

1 code implementation19 Aug 2023 Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu

To address these challenges, we propose a controllable image composition method that unifies four tasks in one diffusion model: image blending, image harmonization, view synthesis, and generative composition.

Image Harmonization

Foreground Object Search by Distilling Composite Image Feature

1 code implementation ICCV 2023 Bo Zhang, Jiacheng Sui, Li Niu

Additionally, previous works did not release their datasets, so we contribute two datasets for FOS task: S-FOSD dataset with synthetic composite images and R-FOSD dataset with real composite images.

Object Retrieval

ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation

1 code implementation1 Aug 2023 Bo Zhang, Jian Wang, Hui Ma, Bo Xu, Hongfei Lin

To overcome this challenge, we propose an innovative multimodal framework, called ZRIGF, which assimilates image-grounded information for dialogue generation in zero-resource situations.

Dialogue Generation Response Generation

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling

1 code implementation CVPR 2023 Zhanhao Hu, Wenda Chu, Xiaopei Zhu, HUI ZHANG, Bo Zhang, Xiaolin Hu

In order to craft natural-looking adversarial clothes that can evade person detectors at multiple viewing angles, we propose adversarial camouflage textures (AdvCaT) that resemble one kind of the typical textures of daily clothes, camouflage textures.

A Collaborative Transfer Learning Framework for Cross-domain Recommendation

no code implementations26 Jun 2023 Wei zhang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang

The disadvantage of the former is that the data from other domains is not utilized by a single domain model, while the latter leverage all the data from different domains, but the fine-tuned model of transfer learning may trap the model in a local optimum of the source domain, making it difficult to fit the target domain.

Click-Through Rate Prediction Recommendation Systems +1

Estimating the Causal Effect of Early ArXiving on Paper Acceptance

2 code implementations24 Jun 2023 Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith

However, since quality is a challenging construct to estimate, we use the negative outcome control method, using paper citation count as a control variable to debias the quality confounding effect.

Causal Inference

Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction

no code implementations5 Jun 2023 Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang

It consists of a multi-interest graph structure for capturing long-term user behavior, a multi-scenario heterogeneous sequence model for modeling short-term information, then an adaptive fusion mechanism to fused information from long-term and short-term behaviors.

Click-Through Rate Prediction

AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset

1 code implementation NeurIPS 2023 Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao

It is a long-term vision for Autonomous Driving (AD) community that the perception models can learn from a large-scale point cloud dataset, to obtain unified representations that can achieve promising results on different tasks or benchmarks.

Autonomous Driving Point Cloud Pre-training

Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness

1 code implementation28 May 2023 Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu

Recent works found that deep neural networks (DNNs) can be fooled by adversarial examples, which are crafted by adding adversarial noise on clean inputs.

NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts

1 code implementation25 May 2023 Yue Zhang, Bo Zhang, Haochen Jiang, Zhenghua Li, Chen Li, Fei Huang, Min Zhang

We introduce NaSGEC, a new dataset to facilitate research on Chinese grammatical error correction (CGEC) for native speaker texts from multiple domains.

Grammatical Error Correction

SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification

2 code implementations16 May 2023 Siyuan Huang, Bo Zhang, Botian Shi, Peng Gao, Yikang Li, Hongsheng Li

In this paper, different from previous 2D DG works, we focus on the 3D DG problem and propose a Single-dataset Unified Generalization (SUG) framework that only leverages a single source dataset to alleviate the unforeseen domain differences faced by a well-trained source model.

3D Point Cloud Classification Domain Generalization +2

Network pharmacology on the mechanism of Yi Qi Tong Qiao Pill inhibiting allergic rhinitis

no code implementations6 May 2023 Boyang Wang, DingFan Zhang, Tingyu Zhang, Chayanis Sutcharitchan, Jianlin Hua, Dongfang Hua, Bo Zhang, Shao Li

Network target analysis was performed to explore the potential mechanisms of YQTQP in the treatment of AR and the mechanisms were classified into different modules according to their biological functions.

Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?

no code implementations20 Apr 2023 Haoyang Peng, Baopu Li, Bo Zhang, Xin Chen, Tao Chen, Hongyuan Zhu

Then, a novel multi-view prompt fusion module is developed to effectively fuse information from different views to bridge the gap between 3D point cloud data and 2D pre-trained models.

Autonomous Driving Classification +3

Delving into Shape-aware Zero-shot Semantic Segmentation

1 code implementation CVPR 2023 Xinyu Liu, Beiwen Tian, Zhen Wang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao, Guyue Zhou

Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a surprisingly high accuracy.

Image Segmentation Segmentation +2

A Closer Look at Few-Shot 3D Point Cloud Classification

1 code implementation31 Mar 2023 Chuangguan Ye, Hongyuan Zhu, Bo Zhang, Tao Chen

In recent years, research on few-shot learning (FSL) has been fast-growing in the 2D image domain due to the less requirement for labeled training data and greater generalization for novel classes.

Few-Shot 3D Point Cloud Classification Few-Shot Learning +1

Pi-ViMo: Physiology-inspired Robust Vital Sign Monitoring using mmWave Radars

no code implementations24 Mar 2023 Bo Zhang, Boyu Jiang, Rong Zheng, XiaoPing Zhang, Jun Li, Qiang Xu

In this paper, we address these limitations and present "Pi-ViMo", a non-contact Physiology-inspired Robust Vital Sign Monitoring system, using mmWave radars.

Template Matching

MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification

no code implementations23 Mar 2023 Bo Zhang, Zuheng Ming, Wei Feng, Yaqian Liu, Liang He, Kaixing Zhao

To benefit the complementary information between heterogeneous data, we introduce a new Multimodal Transformer (MMFormer) for Remote Sensing (RS) image classification using Hyperspectral Image (HSI) accompanied by another source of data such as Light Detection and Ranging (LiDAR).

Image Classification Remote Sensing Image Classification

Performance-aware Approximation of Global Channel Pruning for Multitask CNNs

1 code implementation21 Mar 2023 Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang

Global channel pruning (GCP) aims to remove a subset of channels (filters) across different layers from a deep model without hurting the performance.

Model Compression

Language-Driven Anchors for Zero-Shot Adversarial Robustness

1 code implementation30 Jan 2023 Xiao Li, Wei zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu

Previous researches mainly focus on improving adversarial robustness in the fully supervised setting, leaving the challenging domain of zero-shot adversarial robustness an open question.

Adversarial Defense Adversarial Robustness +3

AI of Brain and Cognitive Sciences: From the Perspective of First Principles

no code implementations20 Jan 2023 Luyao Chen, Zhiqiang Chen, Longsheng Jiang, Xiang Liu, Linlu Xu, Bo Zhang, Xiaolong Zou, Jinying Gao, Yu Zhu, Xizi Gong, Shan Yu, Sen Song, Liangyi Chen, Fang Fang, Si Wu, Jia Liu

Nowadays, we have witnessed the great success of AI in various applications, including image classification, game playing, protein structure analysis, language translation, and content generation.

Few-Shot Learning Image Classification

Danlu Tongdu tablets treat lumbar spinal stenosis through reducing reactive oxygen species and apoptosis by regulating CDK2/CDK4/CDKN1A expression

no code implementations18 Jan 2023 Xue Bai, Ayesha T. Tahir, Zhengheng Yu, Wenbo Cheng, Bo Zhang, Jun Kang

Furthermore, the flow cytometry results showed that DLTD tablets efficiently reduced ROS content and inhibited rat neural stem cell apoptosis induced by hydrogen peroxide.

DarkVision: A Benchmark for Low-light Image/Video Perception

no code implementations16 Jan 2023 Bo Zhang, Yuchen Guo, Runzhao Yang, Zhihong Zhang, Jiayi Xie, Jinli Suo, Qionghai Dai

In this paper, we contribute the first multi-illuminance, multi-camera, and low-light dataset, named DarkVision, serving for both image enhancement and object detection.

Autonomous Driving Image Enhancement +5

YOLOv6 v3.0: A Full-Scale Reloading

5 code implementations13 Jan 2023 Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, Xiangxiang Chu

For a glimpse of performance, our YOLOv6-N hits 37. 5% AP on the COCO dataset at a throughput of 1187 FPS tested with an NVIDIA Tesla T4 GPU.

Real-Time Object Detection

Fine-grained Visible Watermark Removal

no code implementations ICCV 2023 Li Niu, Xing Zhao, Bo Zhang, Liqing Zhang

Visible watermark removal aims to erase the watermark from watermarked image and recover the background image, which is a challenging task due to the diverse watermarks.

Image Cropping With Spatial-Aware Feature and Rank Consistency

no code implementations CVPR 2023 Chao Wang, Li Niu, Bo Zhang, Liqing Zhang

To address the first issue, we propose spatial-aware feature to encode the spatial relationship between candidate crops and aesthetic elements, by feeding the concatenation of crop mask and selectively aggregated feature maps to a light-weighted encoder.

Image Cropping

Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks

1 code implementation26 Dec 2022 Xingxing Wei, Ying Guo, Jie Yu, Bo Zhang

Extensive experiments are conducted on the Face Recognition (FR) task, and results on four representative FR models show that our method can significantly improve the attack success rate and query efficiency.

Face Recognition Position +2

UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline

1 code implementation20 Dec 2022 Ben Fei, Siyuan Huang, Jiakang Yuan, Botian Shi, Bo Zhang, Weidong Yang, Min Dou, Yikang Li

Different from previous studies that only focus on a single adaptation task, UniDA3D can tackle several adaptation tasks in 3D segmentation field, by designing a unified source-and-target active sampling strategy, which selects a maximally-informative subset from both source and target domains for effective model adaptation.

3D Semantic Segmentation Domain Generalization +2

Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion

no code implementations CVPR 2023 Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo

This paper presents a 3D generative model that uses diffusion models to automatically generate 3D digital avatars represented as neural radiance fields.

Computational Efficiency

Make RepVGG Greater Again: A Quantization-aware Approach

2 code implementations3 Dec 2022 Xiangxiang Chu, Liang Li, Bo Zhang

Nonetheless, its quantization performance is usually too poor to deploy (more than 20% top-1 accuracy drop on ImageNet) when INT8 inference is desired.

Quantization Semantic Segmentation

Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation

no code implementations15 Nov 2022 Weimin Wu, Jiayuan Fan, Tao Chen, Hancheng Ye, Bo Zhang, Baopu Li

To enhance the model, adaptability between domains and reduce the computational cost when deploying the ensemble model, we propose a novel framework, namely Instance aware Model Ensemble With Distillation, IMED, which fuses multiple UDA component models adaptively according to different instances and distills these components into a small model.

Knowledge Distillation Unsupervised Domain Adaptation

Better Pre-Training by Reducing Representation Confusion

no code implementations9 Oct 2022 Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin

Motivated by the above investigation, we propose two novel techniques to improve pre-trained language models: Decoupled Directional Relative Position (DDRP) encoding and MTH pre-training objective.

Language Modelling Position +1

EAPruning: Evolutionary Pruning for Vision Transformers and CNNs

no code implementations1 Oct 2022 Qingyuan Li, Bo Zhang, Xiangxiang Chu

In this paper, we undertake a simple and effective approach that can be easily applied to both vision transformers and convolutional neural networks.

3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation

1 code implementation12 Sep 2022 Junshu Tang, Bo Zhang, Binxin Yang, Ting Zhang, Dong Chen, Lizhuang Ma, Fang Wen

In contrast to the traditional avatar creation pipeline which is a costly process, contemporary generative approaches directly learn the data distribution from photographs.

3D Face Animation Disentanglement +3

LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction

no code implementations23 Aug 2022 Hongcheng Guo, Yuhui Guo, Renjie Chen, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Weichao Hou, Liangfan Zheng, Bo Zhang

Experiments on five benchmarks validate the effectiveness of LogLG for detecting anomalies on unlabeled log data and demonstrate that LogLG, as the state-of-the-art weakly supervised method, achieves significant performance improvements compared to existing methods.

Anomaly Detection graph construction +1

Human-centric Image Cropping with Partition-aware and Content-preserving Features

1 code implementation21 Jul 2022 Bo Zhang, Li Niu, Xing Zhao, Liqing Zhang

Image cropping aims to find visually appealing crops in an image, which is an important yet challenging task.

Image Cropping

Aspect-specific Context Modeling for Aspect-based Sentiment Analysis

1 code implementation17 Jul 2022 Fang Ma, Chen Zhang, Bo Zhang, Dawei Song

Extensive experimental results on standard and adversarial benchmarks for SC and OE demonstrate the effectiveness and robustness of the proposed method, yielding new state-of-the-art performance on OE and competitive performance on SC.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1

Spatial Transformation for Image Composition via Correspondence Learning

no code implementations6 Jul 2022 Bo Zhang, Yue Liu, Kaixin Lu, Li Niu, Liqing Zhang

Instead, we propose a novel correspondence learning network (CorrelNet) to model the correspondence between foreground and background using cross-attention maps, based on which we can predict the target coordinate that each source coordinate of foreground should be mapped to on the background.

Virtual Try-on

Careful seeding for the k-medoids algorithm with incremental k++ cluster construction

no code implementations6 Jul 2022 Difei Cheng, Bo Zhang

An improved k-medoids algorithm (INCKM) was recently proposed to overcome this drawback, based on constructing a candidate medoids subset with a parameter choosing procedure, but it may fail when dealing with imbalanced datasets.

Clustering Computational Efficiency

Multi-granularity Item-based Contrastive Recommendation

no code implementations4 Jul 2022 Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin

Specifically, we build three item-based CL tasks as a set of plug-and-play auxiliary objectives to capture item correlations in feature, semantic and session levels.

Contrastive Learning Recommendation Systems +1

Fast Lossless Neural Compression with Integer-Only Discrete Flows

1 code implementation17 Jun 2022 Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang

In this work, we propose Integer-only Discrete Flows (IODF), an efficient neural compressor with integer-only arithmetic.

Quantization

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models

1 code implementation15 Jun 2022 Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang

Thus, the generation performance on a subset of timesteps is crucial, which is greatly influenced by the covariance design in DPMs.

Computational Efficiency

Asymptotic Inference for Infinitely Imbalanced Logistic Regression

no code implementations27 Apr 2022 Dorian Goldman, Bo Zhang

In this paper we extend the work of Owen (2007) by deriving a second order expansion for the slope parameter in logistic regression, when the size of the majority class is unbounded and the minority class is finite.

regression

Adaptable Text Matching via Meta-Weight Regulator

no code implementations27 Apr 2022 Bo Zhang, Chen Zhang, Fang Ma, Dawei Song

Neural text matching models have been used in a range of applications such as question answering and natural language inference, and have yielded a good performance.

Meta-Learning Natural Language Inference +2

Real-Time Neural Character Rendering with Pose-Guided Multiplane Images

1 code implementation25 Apr 2022 Hao Ouyang, Bo Zhang, Pan Zhang, Hao Yang, Jiaolong Yang, Dong Chen, Qifeng Chen, Fang Wen

We propose pose-guided multiplane image (MPI) synthesis which can render an animatable character in real scenes with photorealistic quality.

Image-to-Image Translation Neural Rendering +1

MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction

2 code implementations NAACL 2022 Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang

This paper presents MuCGEC, a multi-reference multi-source evaluation dataset for Chinese Grammatical Error Correction (CGEC), consisting of 7, 063 sentences collected from three Chinese-as-a-Second-Language (CSL) learner sources.

Grammatical Error Correction Sentence

Bringing Old Films Back to Life

1 code implementation CVPR 2022 Ziyu Wan, Bo Zhang, Dongdong Chen, Jing Liao

We present a learning-based framework, recurrent transformer network (RTN), to restore heavily degraded old films.

Analog Video Restoration

Exploiting Pairwise Mutual Information for Knowledge-Grounded Dialogue

1 code implementation IEEE/ACM Transactions on Audio, Speech, and Language Processing 2022 Bo Zhang, Jian Wang, Hongfei Lin, Hui Ma, Bo Xu

Correlation integration is designed to fully exploit the pairwise mutual information among dialogue context, knowledge, and responses, while overall integration adopts an integration gate to capture global information.

Dialogue Generation

Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation

1 code implementation3 Mar 2022 Bo Zhang, Tao Chen, Bin Wang

Although domain adaptation has been extensively studied in natural image-based segmentation task, the research on cross-domain segmentation for very high resolution (VHR) remote sensing images (RSIs) still remains underexplored.

Domain Adaptation Image Segmentation +2

Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts

no code implementations2 Feb 2022 Bo Zhang, Jiayao Zhang

We examine the role of textual data as study units when conducting causal inference by drawing parallels between human subjects and organized texts.

Causal Inference

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

2 code implementations ICLR 2022 Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang

In this work, we present a surprising result that both the optimal reverse variance and the corresponding optimal KL divergence of a DPM have analytic forms w. r. t.

TransLog: A Unified Transformer-based Framework for Log Anomaly Detection

no code implementations31 Dec 2021 Hongcheng Guo, Xingyu Lin, Jian Yang, Yi Zhuang, Jiaqi Bai, Tieqiao Zheng, Bo Zhang, Zhoujun Li

Therefore, we propose a unified Transformer-based framework for log anomaly detection (\ourmethod{}), which is comprised of the pretraining and adapter-based tuning stage.

Anomaly Detection

StyleSwin: Transformer-based GAN for High-resolution Image Generation

1 code implementation CVPR 2022 BoWen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, Baining Guo

To this end, we believe that local attention is crucial to strike the balance between computational efficiency and modeling capacity.

 Ranked #1 on Image Generation on CelebA 256x256 (FID metric)

Blocking Computational Efficiency +3

Contrastive Cross-domain Recommendation in Matching

1 code implementation2 Dec 2021 Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin

Cross-domain recommendation (CDR) aims to provide better recommendation results in the target domain with the help of the source domain, which is widely used and explored in real-world systems.

Contrastive Learning Representation Learning +1

Vector Quantized Diffusion Model for Text-to-Image Synthesis

2 code implementations CVPR 2022 Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo

Our experiments indicate that the VQ-Diffusion model with the reparameterization is fifteen times faster than traditional AR methods while achieving a better image quality.

 Ranked #1 on Text-to-Image Generation on Oxford 102 Flowers (using extra training data)

Denoising Text-to-Image Generation

Entity Relation Extraction as Dependency Parsing in Visually Rich Documents

no code implementations EMNLP 2021 Yue Zhang, Bo Zhang, Rui Wang, Junjie Cao, Chen Li, Zuyi Bao

Previous works on key information extraction from visually rich documents (VRDs) mainly focus on labeling the text within each bounding box (i. e., semantic entity), while the relations in-between are largely unexplored.

Dependency Parsing Entity Linking +3

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network

1 code implementation8 Oct 2021 Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo

The overlook of multiplex behavior relations can hardly recognize the multi-modal contextual signals across different types of interactions, which limit the feasibility of current recommendation methods.

Recommendation Systems Relation +1

Generating Transferable Adversarial Patch by Simultaneously Optimizing its Position and Perturbations

no code implementations29 Sep 2021 Xingxing Wei, Ying Guo, Jie Yu, Huanqian Yan, Bo Zhang

In this paper, we propose a method to simultaneously optimize the position and perturbation to generate transferable adversarial patches, and thus obtain high attack success rates in the black-box setting.

Face Recognition Position

Enhancing the Transferability of Adversarial Attacks via Scale Ensemble

no code implementations29 Sep 2021 Xianfeng Gao, Zhikai Chen, Bo Zhang

The experiments on ImageNet show that our method successfully mitigates the gap of transferability between models with different input sizes and achieves about 8% higher success rate comparing with the state-of-the-art input transformation methods.

Fast Density Estimation for Density-based Clustering Methods

no code implementations23 Sep 2021 Difei Cheng, Ruihang Xu, Bo Zhang, Ruinan Jin

Density-based clustering algorithms are widely used for discovering clusters in pattern recognition and machine learning since they can deal with non-hyperspherical clusters and are robustness to handle outliers.

Clustering Computational Efficiency +1

Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection

1 code implementation19 Sep 2021 Bo Zhang, Tao Chen, Bin Wang, Ruoyao Li

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

Object object-detection +2

Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification

no code implementations30 Aug 2021 Yike Wu, Bo Zhang, Gang Yu, Weixi Zhang, Bin Wang, Tao Chen, Jiayuan Fan

The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.

Fine-Grained Image Classification Object +3

Densely Semantic Enhancement for Domain Adaptive Region-free Detectors

no code implementations30 Aug 2021 Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

object-detection Object Detection +1

OPA: Object Placement Assessment Dataset

3 code implementations5 Jul 2021 Liu Liu, Zhenchen Liu, Bo Zhang, Jiangtong Li, Li Niu, Qingyang Liu, Liqing Zhang

Image composition aims to generate realistic composite image by inserting an object from one image into another background image, where the placement (e. g., location, size, occlusion) of inserted object may be unreasonable, which would significantly degrade the quality of the composite image.

Object

Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning

no code implementations30 Jun 2021 You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang

In this paper, we provide a framework to better understand the existing methods by reformulating the problem of adversarial attacks on reinforcement learning in the function space.

reinforcement-learning Reinforcement Learning (RL)

Making Images Real Again: A Comprehensive Survey on Deep Image Composition

4 code implementations28 Jun 2021 Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zhang

We have also contributed the first image composition toolbox: libcom https://github. com/bcmi/libcom, which assembles 10+ image composition related functions (e. g., image blending, image harmonization, object placement, shadow generation, generative composition).

Image Harmonization

Stability and Generalization of Bilevel Programming in Hyperparameter Optimization

1 code implementation NeurIPS 2021 Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang

Our results can explain some mysterious behaviours of the bilevel programming in practice, for instance, overfitting to the validation set.

Hyperparameter Optimization

A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents

1 code implementation NAACL 2021 Qingrong Xia, Bo Zhang, Rui Wang, Zhenghua Li, Yue Zhang, Fei Huang, Luo Si, Min Zhang

Fine-grained opinion mining (OM) has achieved increasing attraction in the natural language processing (NLP) community, which aims to find the opinion structures of {``}Who expressed what opinions towards what{''} in one sentence.

Multi-Task Learning Opinion Mining +1

Robust Mutual Learning for Semi-supervised Semantic Segmentation

no code implementations1 Jun 2021 Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Fang Wen

The proposed robust mutual learning demonstrates state-of-the-art performance on semantic segmentation in low-data regime.

Pseudo Label Semi-Supervised Semantic Segmentation

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

8 code implementations NeurIPS 2021 Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen

Very recently, a variety of vision transformer architectures for dense prediction tasks have been proposed and they show that the design of spatial attention is critical to their success in these tasks.

Image Classification Semantic Segmentation

Microshift: An Efficient Image Compression Algorithm for Hardware

1 code implementation20 Apr 2021 Bo Zhang, Pedro V. Sander, Chi-Ying Tsui, Amine Bermak

In our method, the image is first micro-shifted, then the sub-quantized values are further compressed.

Data Compression Image Compression

Let's See Clearly: Contaminant Artifact Removal for Moving Cameras

no code implementations ICCV 2021 Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander

This new dataset and our novel framework lead to our method that is able to address different contaminants and outperforms competitive restoration approaches both qualitatively and quantitatively.

Video Restoration

Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable

no code implementations15 Apr 2021 Shuxiao Chen, Bo Zhang

Estimating dynamic treatment regimes (DTRs) from retrospective observational data is challenging as some degree of unmeasured confounding is often expected.

Image Composition Assessment with Saliency-augmented Multi-pattern Pooling

1 code implementation7 Apr 2021 Bo Zhang, Li Niu, Liqing Zhang

Image composition assessment is crucial in aesthetic assessment, which aims to assess the overall composition quality of a given image.

Aesthetics Quality Assessment

MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes

no code implementations CVPR 2021 Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang

This paper presents MagDR, a mask-guided detection and reconstruction pipeline for defending deepfakes from adversarial attacks.

Extragalactic HI 21-cm absorption line observations with the Five-hundred-meter Aperture Spherical radio Telescope

no code implementations11 Mar 2021 Bo Zhang, Ming Zhu, Zhong-Zu Wu, Qing-Zheng Yu, Peng Jiang, You-Ling Yue, Meng-Lin Huang, Qiao-Li Hao

Our observations successfully confirmed the existence of HI absorption lines in all these systems, including two sources that were marginally detected by ALFALFA.

Astrophysics of Galaxies

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion

1 code implementation CVPR 2021 Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen

In this paper, we proposed a novel Style-based Point Generator with Adversarial Rendering (SpareNet) for point cloud completion.

 Ranked #1 on Point Cloud Completion on ShapeNet (Earth Mover's Distance metric)

Point Cloud Completion

A Minimax Probability Machine for Non-Decomposable Performance Measures

no code implementations28 Feb 2021 JunRu Luo, Hong Qiao, Bo Zhang

On the other hand, the minimax probability machine is a popular method for binary classification problems and aims at learning a linear classifier by maximizing the accuracy rate, which makes it unsuitable to deal with imbalanced classification tasks.

Binary Classification Classification +2

Learning with Smooth Hinge Losses

no code implementations27 Feb 2021 JunRu Luo, Hong Qiao, Bo Zhang

Due to the non-smoothness of the Hinge loss in SVM, it is difficult to obtain a faster convergence rate with modern optimization algorithms.

text-classification Text Classification

OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution

1 code implementation7 Feb 2021 Minfang Lu, Shuai Ning, Shuangrong Liu, Fengyang Sun, Bo Zhang, Bo Yang, Lin Wang

Black-box optimization (BBO) algorithms are concerned with finding the best solutions for problems with missing analytical details.

Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network

no code implementations7 Feb 2021 Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin

In this paper, we propose a novel Heterogeneous graph neural network framework for diversified recommendation (GraphDR) in matching to improve both recommendation accuracy and diversity.

Graph Attention Recommendation Systems

The Flare and Warp of the Young Stellar Disk traced with LAMOST DR5 OB-type stars

no code implementations1 Feb 2021 Yang Yu, Hai-Feng Wang, Wen-Yuan Cui, Lin-Lin Li, Chao Liu, Bo Zhang, Hao Tian, Zhen-Yan Huo, Jie Ju, Zhi-Cun Liu, Fang Wen, Shuai Feng

We present analysis of the spatial density structure for the outer disk from 8$-$14 \, kpc with the LAMOST DR5 13534 OB-type stars and observe similar flaring on north and south sides of the disk implying that the flaring structure is symmetrical about the Galactic plane, for which the scale height at different Galactocentric distance is from 0. 14 to 0. 5 \, kpc.

Astrophysics of Galaxies

Robust Dynamical Decoupling for the Manipulation of a Spin Network via a Single Spin

no code implementations11 Jan 2021 Xiaodong Yang, Yunrui Ge, Bo Zhang, Jun Li

High-fidelity control of quantum systems is crucial for quantum information processing, but is often limited by perturbations from the environment and imperfections in the applied control fields.

Quantum Physics

Exploring the Galactic Anticenter substructure with LAMOST & Gaia DR2

no code implementations7 Jan 2021 Jing Li, Xiang-Xiang Xue, Chao Liu, Bo Zhang, Hans-Walter Rix, Jeffrey L. Carlin, Chengqun Yang, Rene A. Mendez, Jing Zhong, Hao Tian, Lan Zhang, Yan Xu, Yaqian Wu, Gang Zhao, Ruixiang Chang

Their location in [$\alpha$/M] vs. [M/H] space is more metal poor than typical thin disk stars, with [$\alpha$/M] \textbf{lower} than the thick disk.

Astrophysics of Galaxies

HCGrid: A Convolution-based Gridding Framework for RadioAstronomy in Hybrid Computing Environments

1 code implementation24 Dec 2020 Hao Wang, Ce Yu, Bo Zhang, Jian Xiao, Qi Luo

Gridding operation, which is to map non-uniform data samples onto a uniformly distributedgrid, is one of the key steps in radio astronomical data reduction process.

Instrumentation and Methods for Astrophysics