Search Results for author: Qiang Li

Found 89 papers, 20 papers with code

Text-only Synthesis for Image Captioning

no code implementations28 May 2024 Qing Zhou, Junlin Huang, Qiang Li, Junyu Gao, Qi Wang

In this paper, we propose Text-only Synthesis for Image Captioning (ToCa), which further advances this relaxation with fewer human labor and less computing time.

Image Captioning Language Modelling +2

Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation

no code implementations22 May 2024 Yuyu Jia, Wei Huang, Junyu Gao, Qi Wang, Qiang Li

Few-shot segmentation (FSS) for remote sensing (RS) imagery leverages supporting information from limited annotated samples to achieve query segmentation of novel classes.


StyleSeg V2: Towards Robust One-shot Segmentation of Brain Tissue via Optimization-free Registration Error Perception

no code implementations6 May 2024 Zhiwei Wang, Xiaoyu Zeng, Chongwei Wu, Jinxin Lv, Xu Zhang, Wei Fang, Qiang Li

One-shot segmentation of brain tissue requires training registration-segmentation (reg-seg) dual-model iteratively, where reg-model aims to provide pseudo masks of unlabeled images for seg-model by warping a carefully-labeled atlas.

One-Shot Segmentation

Clipped SGD Algorithms for Privacy Preserving Performative Prediction: Bias Amplification and Remedies

no code implementations17 Apr 2024 Qiang Li, Michal Yemini, Hoi-To Wai

This paper studies the convergence properties of these algorithms in a performative prediction setting, where the data distribution may shift due to the deployed prediction model.

Privacy Preserving

Mitigating Receiver Impact on Radio Frequency Fingerprint Identification via Domain Adaptation

no code implementations12 Apr 2024 Liu Yang, Qiang Li, Xiaoyang Ren, Yi Fang, Shafei Wang

To address this issue, we formulate the cross-receiver RFFI as a model adaptation problem, which adapts the trained model to unlabeled signals from a new receiver.

Domain Adaptation

MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint

no code implementations1 Apr 2024 Qiang Hu, Zhenyu Yi, Ying Zhou, Ting Li, Fan Huang, Mei Liu, Qiang Li, Zhiwei Wang

We propose MonoBox, an innovative box-supervised segmentation method constrained by monotonicity to liberate its training from the user-unfriendly box-tightness assumption.

Multiple Instance Learning Segmentation

RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners

no code implementations19 Mar 2024 Chi Hu, Yuan Ge, Xiangnan Ma, Hang Cao, Qiang Li, Yonghua Yang, Tong Xiao, Jingbo Zhu

Our experiments across 11 arithmetic and commonsense reasoning tasks show that RankPrompt significantly enhances the reasoning performance of ChatGPT and GPT-4, with improvements of up to 13%.

A Collision-Aware Cable Grasping Method in Cluttered Environment

no code implementations22 Feb 2024 Lei Zhang, Kaixin Bai, Qiang Li, Zhaopeng Chen, Jianwei Zhang

We introduce a Cable Grasping-Convolutional Neural Network designed to facilitate robust cable grasping in cluttered environments.

SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small Target Detector

no code implementations8 Feb 2024 Qianchen Mao, Qiang Li, Bingshu Wang, Yongjun Zhang, Tao Dai, C. L. Philip Chen

To tackle this challenge, we propose SpirDet, a novel approach for efficient detection of infrared small targets.


Unified Hallucination Detection for Multimodal Large Language Models

2 code implementations5 Feb 2024 Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen

Despite significant strides in multimodal tasks, Multimodal Large Language Models (MLLMs) are plagued by the critical issue of hallucination.


Exploration of Adolescent Depression Risk Prediction Based on Census Surveys and General Life Issues

no code implementations6 Jan 2024 Qiang Li, Yufeng Wu, Zhan Xu, Hefeng Zhou

We introduced a method for managing severely imbalanced high-dimensional data and an adaptive predictive approach tailored to data structure characteristics.

Facial Expression Recognition

From Beginner to Expert: Modeling Medical Knowledge into General LLMs

no code implementations2 Dec 2023 Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen, Yue Shen, Cong Fan, Wangshu Zhang, Teng Xu, Jinjie Gu, Jing Zheng, Guannan Zhang Ant Group

(3) Specifically for multi-choice questions in the medical domain, we propose a novel Verification-of-Choice approach for prompting engineering, which significantly enhances the reasoning ability of LLMs.

Language Modelling Large Language Model +3

Deep Learning Assisted Multiuser MIMO Load Modulated Systems for Enhanced Downlink mmWave Communications

no code implementations8 Nov 2023 Ercong Yu, Jinle Zhu, Qiang Li, Zilong Liu, Hongyang Chen, Shlomo Shamai, H. Vincent Poor

The existing precoding algorithm for downlink MU-LMA relies on a sub-array structured (SAS) transmitter which may suffer from decreased degrees of freedom and complex system configuration.

A Survey of Methods for Handling Disk Data Imbalance

no code implementations13 Oct 2023 Shuangshuang Yuan, Peng Wu, Yuehui Chen, Qiang Li

Class imbalance exists in many classification problems, and since the data is designed for accuracy, imbalance in data classes can lead to classification challenges with a few classes having higher misclassification costs.


XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation

no code implementations12 Oct 2023 Qiang Li, Dan Zhang, Shengzhao Lei, Xun Zhao, Porawit Kamnoedboon, Weiwei Li, Junhao Dong, Shuyan Li

Despite the promising performance of existing visual models on public benchmarks, the critical assessment of their robustness for real-world applications remains an ongoing challenge.


IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchors

no code implementations11 Oct 2023 Zhiwei Wang, Qiang Hu, Hongkuan Shi, Li He, Man He, Wenxuan Dai, Ting Li, Yitong Zhang, Dun Li, Mei Liu, Qiang Li

In response, we propose two innovative learning fashions, Improved Box-dice (IBox) and Contrastive Latent-Anchors (CLA), and combine them to train a robust box-supervised model IBoxCLA.


One-Bit Channel Estimation for IRS-aided Millimeter-Wave Massive MU-MISO System

no code implementations29 Sep 2023 Silei Wang, Qiang Li, Jingran Lin

The second estimator utilizes the common row-structured sparsity induced by the IRS-to-BS channel shared among the users, and develops another type-II ML solution via the block SBL (BSBL) and the variational EM.


Integrated Robotics Networks with Co-optimization of Drone Placement and Air-Ground Communications

no code implementations9 Sep 2023 Menghao Hu, Tong Zhang, Shuai Wang, Guoliang Li, Yingyang Chen, Qiang Li, Gaojie Chen

Terrestrial robots, i. e., unmanned ground vehicles (UGVs), and aerial robots, i. e., unmanned aerial vehicles (UAVs), operate in separate spaces.

Reinforcement Learning Based Multi-modal Feature Fusion Network for Novel Class Discovery

1 code implementation26 Aug 2023 Qiang Li, Qiuyang Ma, Weizhi Nie, AnAn Liu

We employed a clustering method with varying constraint conditions, ranging from strict to loose, allowing for the generation of dependable labels for a subset of unlabeled data during the training phase.

Novel Class Discovery reinforcement-learning +1

Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification

1 code implementation19 Jun 2023 Zhiwei Wang, Junlin Xian, Kangyi Liu, Xin Li, Qiang Li, Xin Yang

Mammogram image is important for breast cancer screening, and typically obtained in a dual-view form, i. e., cranio-caudal (CC) and mediolateral oblique (MLO), to provide complementary information.

Clinical Knowledge

Cooperative IoT Data Sharing with Heterogeneity of Participants Based on Electricity Retail

no code implementations31 May 2023 Bohong Wang, Qinglai Guo, Tian Xia, Qiang Li, Di Liu, Feng Zhao

With the development of Internet of Things (IoT) and big data technology, the data value is increasingly explored in multiple practical scenarios, including electricity transactions.

Data Valuation Fairness

Higher-order Organization in the Human Brain from Matrix-Based Rényi's Entropy

no code implementations21 Mar 2023 Qiang Li, Shujian Yu, Kristoffer H Madsen, Vince D Calhoun, Armin Iraji

To address this problem, we applied multivariate mutual information, specifically, Total Correlation and Dual Total Correlation to reveal higher-order information in the brain.

Time Series

POSGen: Personalized Opening Sentence Generation for Online Insurance Sales

no code implementations10 Feb 2023 Yu Li, Yi Zhang, Weijia Wu, Zimu Zhou, Qiang Li

Such personalized opening sentence generation is challenging because (i) there are limited historical samples for conversation topic recommendation in online insurance sales and (ii) existing text generation schemes often fail to support customized topic ordering based on user preferences.

Chatbot Management +2

Continual learning on deployment pipelines for Machine Learning Systems

no code implementations5 Dec 2022 Qiang Li, Chongyu Zhang

Following the development of digitization, a growing number of large Original Equipment Manufacturers (OEMs) are adapting computer vision or natural language processing in a wide range of applications such as anomaly detection and quality inspection in plants.

Anomaly Detection Continual Learning

Robust One-shot Segmentation of Brain Tissues via Image-aligned Style Transformation

1 code implementation26 Nov 2022 Jinxin Lv, Xiaoyu Zeng, Sheng Wang, Ran Duan, Zhiwei Wang, Qiang Li

In this paper, we propose a novel image-aligned style transformation to reinforce the dual-model iterative learning for robust one-shot segmentation of brain tissues.

One-Shot Segmentation Segmentation

Joint Secure Communication and Radar Beamforming: A Secrecy-Estimation Rate-Based Design

no code implementations23 Nov 2022 Rong Wen, Ying Zhang, Qiang Li, Youxi Tang

For the AN-aided SRM, by leveraging alternating optimization similar closed-form solution is obtained for the beamformer and the AN covariance matrix.

Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions

1 code implementation15 Oct 2022 Hongkuan Shi, Zhiwei Wang, Ying Zhou, Dun Li, Xin Yang, Qiang Li

The learned knowledge flows across branches along two directions: a cross direction (disparity guides distribution in ACS) and a parallel direction (disparity guides disparity in APS).

3D Reconstruction Disparity Estimation

Bridging CLIP and StyleGAN through Latent Alignment for Image Editing

no code implementations10 Oct 2022 Wanfeng Zheng, Qiang Li, Xiaoyan Guo, Pengfei Wan, Zhongyuan Wang

More specifically, our efforts consist of three parts: 1) a data-free training strategy to train latent mappers to bridge the latent space of CLIP and StyleGAN; 2) for more precise mapping, temporal relative consistency is proposed to address the knowledge distribution bias problem among different latent spaces; 3) to refine the mapped latent in s space, adaptive style mixing is also proposed.

Image Manipulation Language Modelling +1

Functional Connectome of the Human Brain with Total Correlation

no code implementations6 Oct 2022 Qiang Li, Greg Ver Steeg, Shujian Yu, Jesus Malo

In this work we build on this idea to infer a large scale (whole brain) connectivity network based on Total Correlation and show the possibility of using this kind of networks as biomarkers of brain alterations.

Functional Connectivity via Total Correlation: Analytical results in Visual Areas

no code implementations11 Aug 2022 Qiang Li, Greg Ver Steeg, Jesus Malo

As opposed to previous empirical approaches, in this work we present analytical results to prove the advantages of Total Correlation over Mutual Information to describe the functional connectivity.

Semi-supervised Ranking for Object Image Blur Assessment

1 code implementation13 Jul 2022 Qiang Li, Zhaoliang Yao, Jingjing Wang, Ye Tian, Pengju Yang, Di Xie, ShiLiang Pu

Based on this dataset, we propose a method to obtain the blur scores only with the pairwise rank labels as supervision.

Object Object Recognition +1

Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs

no code implementations5 Jun 2022 Zhiwei Wang, Jinxin Lv, Yunqiao Yang, Yuanhuai Liang, Yi Lin, Qiang Li, Xin Li, Xin Yang

Vertebral landmark localization is a crucial step for variant spine-related clinical applications, which requires detecting the corner points of 17 vertebrae.

Multi-scale frequency separation network for image deblurring

no code implementations1 Jun 2022 Yanni Zhang, Qiang Li, Miao Qi, Di Liu, Jun Kong, Jianzhong Wang

MSFS-Net introduces the frequency separation module (FSM) into an encoder-decoder network architecture to capture the low- and high-frequency information of image at multiple scales.

Contrastive Learning Deblurring +2

Noise Perturbation for Saliency Prediction with Psychophysical Synthetic Images

no code implementations12 Apr 2022 Qiang Li

The primary goal of this study is to investigate the performance of saliency prediction in CNN and classic models with psychophysical synthetic images under noise perturbation.

Saliency Prediction

ITTR: Unpaired Image-to-Image Translation with Transformers

no code implementations30 Mar 2022 Wanfeng Zheng, Qiang Li, Guoxin Zhang, Pengfei Wan, Zhongyuan Wang

Unpaired image-to-image translation is to translate an image from a source domain to a target domain without paired training data.

Image-to-Image Translation Translation

CRIS: CLIP-Driven Referring Image Segmentation

1 code implementation CVPR 2022 Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu

In addition, we present text-to-pixel contrastive learning to explicitly enforce the text feature similar to the related pixel-level features and dissimilar to the irrelevances.

Contrastive Learning Decoder +4

BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation

3 code implementations NeurIPS 2021 Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng

Specifically, we first train a self-supervised style encoder on the generic artistic dataset to extract the representations of arbitrary styles.

Face Generation

Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion

1 code implementation25 Sep 2021 Jinxin Lv, Zhiwei Wang, Hongkuan Shi, Haobo Zhang, Sheng Wang, Yilang Wang, Qiang Li

Registration of brain MRI images requires to solve a deformation field, which is extremely difficult in aligning intricate brain tissues, e. g., subcortical nuclei, etc.

Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition

no code implementations30 Jul 2021 Jingwei Yan, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu

Based on these two self-supervised auxiliary tasks, local features, mutual relation and motion cues of AUs are better captured in the backbone network with the proposed regional and temporal based auxiliary task learning (RTATL) framework.

Facial Action Unit Detection Optical Flow Estimation +1

Exploring Set Similarity for Dense Self-supervised Representation Learning

no code implementations CVPR 2022 Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu

By considering the spatial correspondence, dense self-supervised representation learning has achieved superior performance on various dense prediction tasks.

Instance Segmentation Keypoint Detection +5

Symbol-Level Precoding Through the Lens of Zero Forcing and Vector Perturbation

no code implementations30 Mar 2021 Yatao Liu, Mingjie Shao, Wing-Kin Ma, Qiang Li

We examine how insights arising from this perturbed ZF and VP interpretations can be leveraged to i) substantially simplify the optimization of certain SLP design criteria, namely, total or peak power minimization subject to SEP quality guarantees; and ii) draw connections with some existing SLP designs.

Contrast Sensitivity Functions in Autoencoders

no code implementations28 Feb 2021 Qiang Li, Alex Gomez-Villa, Marcelo Bertalmio, Jesus Malo

Three decades ago, Atick et al. suggested that human frequency sensitivity may emerge from the enhancement required for a more efficient analysis of retinal images.

Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition

no code implementations24 Feb 2021 Jingwei Yan, Boyuan Jiang, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu

In order to incorporate the intra-level AU relation and inter-level AU regional relevance simultaneously, a multi-level AU relation graph is constructed and graph convolution is performed to further enhance AU regional features of each level.

Facial Action Unit Detection Graph Learning +1

Gravitational effect of a plasma on the shadow of Schwarzschild black holes

no code implementations1 Feb 2021 Qiang Li, Towe Wang

Considering a Schwarzschild black hole surrounded by a fully ionized hydrogen plasma, we study the refractive effect and the pure gravitational effect of the plasma on the shadow.

General Relativity and Quantum Cosmology Astrophysics of Galaxies

Image deblurring based on lightweight multi-information fusion network

no code implementations14 Jan 2021 Yanni Zhang, Yiming Liu, Qiang Li, Miao Qi, Dahong Xu, Jun Kong, Jianzhong Wang

In the encoding stage, the image feature is reduced to various smallscale spaces for multi-scale information extraction and fusion without a large amount of information loss.

Deblurring Decoder +1

Magnetoelectric coupling and decoupling in multiferroic hexagonal YbFeO3 thin films

no code implementations13 Nov 2020 Yu Yun, Xin Li, Arashdeep Singh Thind, Yuewei Yin, Hao liu, Qiang Li, Wenbin Wang, Alpha T. N Diaye, Corbyn Mellinger, Xuanyuan Jiang, Rohan Mishra, Xiaoshan Xu

The coupling between ferroelectric and magnetic orders in multiferroic materials and the nature of magnetoelectric (ME) effects are enduring experimental challenges.

Materials Science Other Condensed Matter

A Psychophysical Oriented Saliency Map Prediction Model

1 code implementation8 Nov 2020 Qiang Li

Finally, the proposed model also can be applied to spatial-temporal saliency prediction and got better performance.

Saliency Prediction

Experimental Evidence that Zn Impurities Pin Pair-Density-Wave Order in La$_{2-x}$Ba$_x$CuO$_4$

no code implementations1 Oct 2020 P. M. Lozano, G. D. Gu, J. M. Tranquada, Qiang Li

Both Zn-doping and $c$-axis magnetic fields have been observed to increase the spin stripe order in La$_{2-x}$Ba$_x$CuO$_4$ with $x$ close to 1/8.


Loop-induced $ZZ$ production at the LHC: an improved description by matrix-element matching

no code implementations23 Jun 2020 Congqiao Li, Ying An, Claude Charlot, Roberto Covarelli, Zhe Guan, Qiang Li

Loop-induced $ZZ$ production can be enhanced by the large gluon flux at the LHC, and thus should be taken into account in relevant experimental analyses.

High Energy Physics - Phenomenology High Energy Physics - Experiment

One-Bit Symbol-Level Precoding for MU-MISO Downlink with Intelligent Reflecting Surface

no code implementations8 Jun 2020 Silei Wang, Qiang Li, Mingjie Shao

This paper considers symbol-level precoding (SLP) for multiuser multi-input single-output (MISO) downlink transmission with the aid of intelligent reflecting surface (IRS).

Siamese Keypoint Prediction Network for Visual Object Tracking

1 code implementation7 Jun 2020 Qiang Li, Zekui Qin, Wenbo Zhang, Wen Zheng

Visual object tracking aims to estimate the location of an arbitrary target in a video sequence given its initial bounding box.

Object Visual Object Tracking

Minimizing Age-of-Information for Fog Computing-supported Vehicular Networks with Deep Q-learning

no code implementations4 Apr 2020 Maohong Chen, Yong Xiao, Qiang Li, Kwang-cheng Chen

Connected vehicular network is one of the key enablers for next generation cloud/fog-supported autonomous driving vehicles.

Autonomous Driving Q-Learning

AliCoCo: Alibaba E-commerce Cognitive Concept Net

no code implementations30 Mar 2020 Xusheng Luo, Luxin Liu, Yonghua Yang, Le Bo, Yuanpeng Cao, Jinhang Wu, Qiang Li, Keping Yang, Kenny Q. Zhu

However, user needs in e-commerce are still not well defined, and none of the existing ontologies has the enough depth and breadth for universal user needs understanding.

Trend and forecasting of the COVID-19 outbreak in China

1 code implementation14 Feb 2020 Qiang Li, Wei Feng

By using the public data from Jan. 20 to Feb. 11, 2020, we perform data-driven analysis and forecasting on the COVID-19 epidemic in mainland China, especially Hubei province.

Minimum Symbol-Error Probability Symbol-Level Precoding with Intelligent Reflecting Surface

no code implementations19 Jan 2020 Mingjie Shao, Qiang Li, Wing-Kin Ma

Recently, the use of intelligent reflecting surface (IRS) has gained considerable attention in wireless communications.

Sum Rate Maximization for Multiuser MISO Downlink with Intelligent Reflecting Surface

no code implementations19 Dec 2019 Silei Wang, Qiang Li, Sissi Xiaoxiao Wu, Jingran Lin

The intelligent reflecting surface (IRS) is a planar array with massive reconfigurable passive elements, which can align the reflecting signals at the receivers via controlling the phase shifts at each element independently.

Machine Learning-based Signal Detection for PMH Signals in Load-modulated MIMO System

no code implementations24 Nov 2019 Jinle Zhu, Qiang Li, Li Hu, Hongyang Chen, Nirwan Ansari

By leveraging machine learning, the proposed detection scheme can accurately obtain information of the channel from a few of the received symbols with little resource cost and achieve comparable detection results as that of the optimal ML detector.

BIG-bench Machine Learning Clustering

Adversarial Training Methods for Network Embedding

1 code implementation30 Aug 2019 Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang

To improve this strategy, we further propose an interpretable adversarial training method by enforcing the reconstruction of the adversarial examples in the discrete graph domain.

Link Prediction Network Embedding +1

Latency Minimization for Multiuser Computation Offloading in Fog-Radio Access Networks

no code implementations20 Jul 2019 Wei zhang, Shafei Wang, Ye Pan, Qiang Li, Jingran Lin, Xiaoxiao Wu

This paper considers computation offloading in fog-radio access networks (F-RAN), where multiple user equipments (UEs) offload their computation tasks to the F-RAN through a number of fog nodes.

Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation

1 code implementation2 Jul 2019 Ruiyuan Wu, Wing-Kin Ma, Xiao Fu, Qiang Li

Hyperspectral super-resolution (HSR) is a problem that aims to estimate an image of high spectral and spatial resolutions from a pair of co-registered multispectral (MS) and hyperspectral (HS) images, which have coarser spectral and spatial resolutions, respectively.


Adapting Stochastic Block Models to Power-Law Degree Distributions

no code implementations5 Apr 2019 Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, DaCheng Tao

Stochastic block models (SBMs) have been playing an important role in modeling clusters or community structures of network data.

StyleRemix: An Interpretable Representation for Neural Image Style Transfer

no code implementations27 Feb 2019 Hongmin Xu, Qiang Li, Wenbo Zhang, Wen Zheng

Multi-Style Transfer (MST) intents to capture the high-level visual vocabulary of different styles and expresses these vocabularies in a joint model to transfer each specific style.

Style Transfer

End-to-end Hand Mesh Recovery from a Monocular RGB Image

2 code implementations ICCV 2019 Xiong Zhang, Qiang Li, Hong Mo, Wenbo Zhang, Wen Zheng

In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem of reconstructing the full 3D mesh of a human hand from a single RGB image.

3D Hand Pose Estimation

Polarization Fraction Measurement in same sign WW scattering using Deep Learning

1 code implementation18 Dec 2018 Junho Lee, Nicolas Chanon, Andrew Levin, Jing Li, Meng Lu, Qiang Li, Yajun Mao

Studying the longitudinally polarized fraction of $W^\pm W^\pm$ scattering at the LHC is crucial to examine the unitarization mechanism of the vector boson scattering amplitude through Higgs and possible new physics.

High Energy Physics - Phenomenology High Energy Physics - Experiment

Receiver Design for Faster-than-Nyquist Signaling: Deep-learning-based Architectures

no code implementations7 Nov 2018 Peiyang Song, Fengkui Gong, Qiang Li, Guo Li, Haiyang Ding

Additionally, we propose a DL-based joint signal detection and decoding for FTN signaling to replace the complete baseband part in traditional FTN receivers.

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning

no code implementations10 Feb 2018 Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li

To help doctors to be more selective on biopsies and provide a second opinion on diagnosis, in this work, we propose a computer-aided diagnosis (CAD) system for lung diseases including cancers and tuberculosis (TB).

Transfer Learning

Adversarial Network Embedding

no code implementations21 Nov 2017 Quanyu Dai, Qiang Li, Jian Tang, Dan Wang

Learning low-dimensional representations of networks has proved effective in a variety of tasks such as node classification, link prediction and network visualization.

Link Prediction Network Embedding +1

Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising

no code implementations23 Nov 2016 Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun

In the guaranteed delivery scenario, ad exposures (which are also called impressions in some works) to users are guaranteed by contracts signed in advance between advertisers and publishers.

Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches

no code implementations29 Nov 2013 Xudong Liu, Bing Xu, Yuyu Zhang, Qiang Yan, Liang Pang, Qiang Li, Hanxiao Sun, Bin Wang

The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness of hotels, user's aggregated purchase history and competitive online travel agency information for each potential hotel choice.

BIG-bench Machine Learning Feature Engineering

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