Search Results for author: Jing Li

Found 138 papers, 45 papers with code

#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention

1 code implementation EMNLP 2021 Yuji Zhang, Yubo Zhang, Chunpu Xu, Jing Li, Ziyan Jiang, Baolin Peng

It is hypothesized that one’s interests in a hashtag are related with what they said before (user history) and the existing posts present the hashtag (hashtag contexts).

基于人物特征增强的拟人句要素抽取方法研究(Research on Element Extraction of Personified Sentences Based on Enhanced Characters)

no code implementations CCL 2021 Jing Li, Suge Wang, Xin Chen, Dian Wang

“在散文阅读理解的鉴赏类问题中, 对拟人句赏析考查比较频繁。目前, 已有的工作仅对拟人句中的本体要素进行识别并抽取, 存在要素抽取不完整的问题, 尤其是当句子中出现多个本体时, 需要确定拟人词与各个本体的对应关系。为解决这些问题, 本文提出了基于人物特征增强的拟人句要素抽取方法。该方法利用特定领域的特征, 增强句子的向量表示, 再利用条件随机场模型对拟人句中的本体和拟人词要素进行识别。在此基础上, 利用自注意力机制对要素之间的关系进行检测, 使用要素同步机制和关系同步机制进行信息交互, 用于要素识别和关系检测的输入更新。在自建的拟人数据集上进行<本体, 拟人词>抽取的比较实验, 结果表明本文提出的模型性能优于其他比较模型。”

Prompt-Driven Neural Machine Translation

1 code implementation Findings (ACL) 2022 Yafu Li, Yongjing Yin, Jing Li, Yue Zhang

Neural machine translation (NMT) has obtained significant performance improvement over the recent years.

Machine Translation NMT +1

MLEC-QA: A Chinese Multi-Choice Biomedical Question Answering Dataset

1 code implementation EMNLP 2021 Jing Li, Shangping Zhong, Kaizhi Chen

Question Answering (QA) has been successfully applied in scenarios of human-computer interaction such as chatbots and search engines.

Question Answering

Continuous sign language recognition based on cross-resolution knowledge distillation

no code implementations13 Mar 2023 Qidan Zhu, Jing Li, Fei Yuan, Quan Gan

It is then used to combine cross-resolution knowledge distillation and traditional knowledge distillation methods to form a CSLR model based on cross-resolution knowledge distillation (CRKD).

Knowledge Distillation Sign Language Recognition

AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks

no code implementations1 Mar 2023 Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, DaCheng Tao

Integrating SAM with adaptive learning rate and momentum acceleration, dubbed AdaSAM, has already been explored empirically to train large-scale deep neural networks without theoretical guarantee due to the triple difficulties in analyzing the coupled perturbation step, adaptive learning rate and momentum step.

P$^2$SDF for Neural Indoor Scene Reconstruction

no code implementations1 Mar 2023 Jing Li, Jinpeng Yu, Ruoyu Wang, Zhengxin Li, Zhengyu Zhang, Lina Cao, Shenghua Gao

As the unsupervised plane segments are usually noisy and inaccurate, we propose to assign different weights to the sampled points on the plane in plane estimation as well as the regularization loss.

Indoor Scene Reconstruction Surface Reconstruction

Understanding Social Media Cross-Modality Discourse in Linguistic Space

1 code implementation26 Feb 2023 Chunpu Xu, Hanzhuo Tan, Jing Li, Piji Li

To fill in the gap, we present a novel concept of cross-modality discourse, reflecting how human readers couple image and text understandings.

Audio2Gestures: Generating Diverse Gestures from Audio

no code implementations17 Jan 2023 Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Linchao Bao, Zhenyu He

Finally, we demonstrate that our method can be readily used to generate motion sequences with user-specified motion clips on the timeline.

Gesture Generation

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

1 code implementation9 Nov 2022 Mo Yu, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Jing Li, Yue Yu, Jie zhou

When reading a story, humans can rapidly understand new fictional characters with a few observations, mainly by drawing analogy to fictional and real people they met before in their lives.

Meta-Learning Metric Learning

Temporal superimposed crossover module for effective continuous sign language

no code implementations7 Nov 2022 Qidan Zhu, Jing Li, Fei Yuan, Quan Gan

The ultimate goal of continuous sign language recognition(CSLR) is to facilitate the communication between special people and normal people, which requires a certain degree of real-time and deploy-ability of the model.

Image Classification Sign Language Recognition +1

Exploiting Spatial-temporal Correlations for Video Anomaly Detection

no code implementations2 Nov 2022 Mengyang Zhao, Yang Liu, Jing Li, Xinhua Zeng

Video anomaly detection (VAD) remains a challenging task in the pattern recognition community due to the ambiguity and diversity of abnormal events.

Anomaly Detection Video Anomaly Detection

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study

no code implementations29 Oct 2022 Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian

We comprehensively compared 2D and 3D radiomic features' representation and discrimination capacity regarding GC, via three tasks.

Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation

1 code implementation21 Oct 2022 Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji

However, these data augmentation methods either potentially cause shifts in decision boundaries (representation interpolation), are not expressive enough (token replacement), or introduce too much computational overhead (augmentation with models).

Data Augmentation Knowledge Distillation

An Attention-Guided and Wavelet-Constrained Generative Adversarial Network for Infrared and Visible Image Fusion

no code implementations20 Oct 2022 Xiaowen Liu, Renhua Wang, Hongtao Huo, Xin Yang, Jing Li

The GAN-based infrared and visible image fusion methods have gained ever-increasing attention due to its effectiveness and superiority.

Infrared And Visible Image Fusion

An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework based on Semantic Blocks

1 code implementation COLING 2022 Xinnian Liang, Jing Li, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Mu Li, Zhoujun Li

To tackle this problem, in this paper, we proposed an efficient Coarse-to-Fine Facet-Aware Ranking (C2F-FAR) framework for unsupervised long document summarization, which is based on the semantic block.

Document Summarization

A Knowledge Distillation-Based Backdoor Attack in Federated Learning

no code implementations12 Aug 2022 Yifan Wang, Wei Fan, Keke Yang, Naji Alhusaini, Jing Li

With knowledge distillation, we can reduce the abnormal characteristics in model result from the label flipping, thus the model can bypass the defenses.

Backdoor Attack Federated Learning +1

Recognition of Handwritten Chinese Text by Segmentation: A Segment-annotation-free Approach

no code implementations29 Jul 2022 Dezhi Peng, Lianwen Jin, Weihong Ma, Canyu Xie, Hesuo Zhang, Shenggao Zhu, Jing Li

A novel weakly supervised learning method is proposed to enable the network to be trained using only transcript annotations; thus, the expensive character segmentation annotations required by previous segmentation-based methods can be avoided.

Handwritten Chinese Text Recognition Weakly-supervised Learning

Continuous Sign Language Recognition via Temporal Super-Resolution Network

no code implementations3 Jul 2022 Qidan Zhu, Jing Li, Fei Yuan, Quan Gan

The sparse frame-level features are fused through the features obtained by the two designed branches as the reconstructed dense frame-level feature sequence, and the connectionist temporal classification(CTC) loss is used for training and optimization after the time-series feature extraction part.

Sign Language Recognition Super-Resolution +1

Attention-based Multimodal Feature Representation Model for Micro-video Recommendation

no code implementations18 May 2022 Mohan Hasama, Jing Li

Therefore, this paper adopts a multi-headed self-attentive mechanism to mine the internal correlations between features and thus learn the internal representation of features.

Recommendation Systems

The Cross-lingual Conversation Summarization Challenge

1 code implementation1 May 2022 Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang

We propose the shared task of cross-lingual conversation summarization, \emph{ConvSumX Challenge}, opening new avenues for researchers to investigate solutions that integrate conversation summarization and machine translation.

Abstractive Dialogue Summarization Cross-Lingual Abstractive Summarization +3

A Survey of Machine Narrative Reading Comprehension Assessments

no code implementations30 Apr 2022 Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey Stanton, Mo Yu

As the body of research on machine narrative comprehension grows, there is a critical need for consideration of performance assessment strategies as well as the depth and scope of different benchmark tasks.

Reading Comprehension

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification

no code implementations21 Apr 2022 Churan Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

To resolve this problem, we propose a novel framework, namely Domain Invariant Model with Graph Convolutional Network (DIM-GCN), which only exploits invariant disease-related features from multiple domains.


Analyzing the Intensity of Complaints on Social Media

1 code implementation Findings (NAACL) 2022 Ming Fang, Shi Zong, Jing Li, Xinyu Dai, ShuJian Huang, Jiajun Chen

Furthermore, we conduct a comprehensive linguistic analysis around complaints, including the connections between complaints and sentiment, and a cross-lingual comparison for complaints expressions used by Chinese and English speakers.

Saliency in Augmented Reality

1 code implementation18 Apr 2022 Huiyu Duan, Wei Shen, Xiongkuo Min, Danyang Tu, Jing Li, Guangtao Zhai

Therefore, in this paper, we mainly analyze the interaction effect between background (BG) scenes and AR contents, and study the saliency prediction problem in AR.

Saliency Prediction

TVShowGuess: Character Comprehension in Stories as Speaker Guessing

1 code implementation NAACL 2022 Yisi Sang, Xiangyang Mou, Mo Yu, Shunyu Yao, Jing Li, Jeffrey Stanton

We propose a new task for assessing machines' skills of understanding fictional characters in narrative stories.

Multi-scale temporal network for continuous sign language recognition

no code implementations8 Apr 2022 Qidan Zhu, Jing Li, Fei Yuan, Quan Gan

The time-wise feature extraction part performs temporal feature learning by first extracting temporal receptive field features of different scales using the proposed multi-scale temporal block (MST-block) to improve the temporal modeling capability, and then further encoding the temporal features of different scales by the transformers module to obtain more accurate temporal features.

Sign Language Recognition

A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging

no code implementations28 Mar 2022 Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Boyu Jiang, Ran Tao, Jing Li, Yuwei Ge, Taishan Kang, Jianzhong Lin, Di Guo, Xiaobo Qu

Conclusion: The explicit phase model PAIR with complementary priors has a good performance on challenging reconstructions under inter-shot motions between shots and a low signal-to-noise ratio.

Doctor Recommendation in Online Health Forums via Expertise Learning

1 code implementation ACL 2022 Xiaoxin Lu, Yubo Zhang, Jing Li, Shi Zong

Huge volumes of patient queries are daily generated on online health forums, rendering manual doctor allocation a labor-intensive task.


Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap

no code implementations14 Feb 2022 Beihang Song, Jing Li, Shan Xue, Jun Chang, Jia Wu, Jun Wan, Tianpeng Liu

In this study, we developed a single-stage rotating object detector via two points with a solar corona heatmap (ROTP) to detect oriented objects.

object-detection Object Detection

Adversarial Attacks and Defense Methods for Power Quality Recognition

1 code implementation11 Feb 2022 Jiwei Tian, Buhong Wang, Jing Li, Zhen Wang, Mete Ozay

To this end, we first propose a signal-specific method and a universal signal-agnostic method to attack power systems using generated adversarial examples.

Decoupled IoU Regression for Object Detection

no code implementations2 Feb 2022 Yan Gao, Qimeng Wang, Xu Tang, Haochen Wang, Fei Ding, Jing Li, Yao Hu

Prior works propose to predict Intersection-over-Union (IoU) between bounding boxes and corresponding ground-truths to improve NMS, while accurately predicting IoU is still a challenging problem.

object-detection Object Detection +1

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation

1 code implementation17 Dec 2021 Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou

In this paper, we comprehensively study three architecture design choices on ViT -- spatial reduction, doubled channels, and multiscale features -- and demonstrate that a vanilla ViT architecture can fulfill this goal without handcrafting multiscale features, maintaining the original ViT design philosophy.

Image Classification Instance Segmentation +5

SPTS: Single-Point Text Spotting

1 code implementation15 Dec 2021 Dezhi Peng, Xinyu Wang, Yuliang Liu, Jiaxin Zhang, Mingxin Huang, Songxuan Lai, Shenggao Zhu, Jing Li, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin

For the first time, we demonstrate that training scene text spotting models can be achieved with an extremely low-cost annotation of a single-point for each instance.

Language Modelling Text Spotting

Taming Overconfident Prediction on Unlabeled Data from Hindsight

no code implementations15 Dec 2021 Jing Li, Yuangang Pan, Ivor W. Tsang

The prediction uncertainty is typically expressed as the \emph{entropy} computed by the transformed probabilities in output space.

Solving the Data Sparsity Problem in Predicting the Success of the Startups with Machine Learning Methods

no code implementations15 Dec 2021 Dafei Yin, Jing Li, Gaosheng Wu

With data platforms like Crunchbase aggregating the information of startup companies, it is possible to predict with machine learning algorithms.

BIG-bench Machine Learning

Cross-domain Trajectory Prediction with CTP-Net

no code implementations22 Oct 2021 Pingxuan Huang, Zhenhua Cui, Jing Li, Shenghua Gao, Bo Hu, Yanyan Fang

Further, considering the consistency between the observed and the predicted trajectories, a target domain offset discriminator is utilized to adversarially regularize the future trajectory predictions to be in line with the observed trajectories.

Domain Adaptation Pedestrian Trajectory Prediction +1

EncT5: A Framework for Fine-tuning T5 as Non-autoregressive Models

1 code implementation16 Oct 2021 Frederick Liu, Terry Huang, Shihang Lyu, Siamak Shakeri, Hongkun Yu, Jing Li

Pre-trained encoder-decoder transformer architectures have become increasingly popular recently with the advent of T5 models.

Language Modelling Multi-Label Classification +2

Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images

no code implementations5 Oct 2021 Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao

To mitigate this problem, in this paper, we propose a novel Proxy-bridged Image Reconstruction Network (ProxyAno) for anomaly detection in medical images.

Anomaly Detection Image Reconstruction

Fine-Tuning from Limited Feedbacks

no code implementations29 Sep 2021 Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Ivor Tsang

Instead of learning from scratch, fine-tuning a pre-trained model to fit a related target dataset of interest or downstream tasks has been a handy trick to achieve the desired performance.


Revisiting 3D ResNets for Video Recognition

1 code implementation3 Sep 2021 Xianzhi Du, Yeqing Li, Yin Cui, Rui Qian, Jing Li, Irwan Bello

A recent work from Bello shows that training and scaling strategies may be more significant than model architectures for visual recognition.

Action Classification Contrastive Learning +1

Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders

no code implementations ICCV 2021 Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Zhenyu He, Linchao Bao

In order to overcome this problem, we propose a novel conditional variational autoencoder (VAE) that explicitly models one-to-many audio-to-motion mapping by splitting the cross-modal latent code into shared code and motion-specific code.

Gesture Generation

OLR 2021 Challenge: Datasets, Rules and Baselines

no code implementations23 Jul 2021 Binling Wang, Wenxuan Hu, Jing Li, Yiming Zhi, Zheng Li, Qingyang Hong, Lin Li, Dong Wang, Liming Song, Cheng Yang

In addition to the Language Identification (LID) tasks, multilingual Automatic Speech Recognition (ASR) tasks are introduced to OLR 2021 Challenge for the first time.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Transmission Dynamics of COVID-19 Pandemic Non-pharmaceutical Interventions and Vaccination

no code implementations7 Jul 2021 Bin-Guo Wang, Shunxiang Huang, Yongping Xiong, Ming-Zhen Xin, Jing Li, Jiangqian Zhang, Zhihui Ma

By simulating the relation ships of the basic reproduction number $\mathscr{R}_{0}$, the vaccination rate and the efficiency of vaccine, we find that it is impossible to achieve the herd immunity without NPIs when the efficiency of vaccine is lower than $76. 9\%$.

Oriental Language Recognition (OLR) 2020: Summary and Analysis

no code implementations5 Jul 2021 Jing Li, Binling Wang, Yiming Zhi, Zheng Li, Lin Li, Qingyang Hong, Dong Wang

The fifth Oriental Language Recognition (OLR) Challenge focuses on language recognition in a variety of complex environments to promote its development.

Dialect Identification

An Integrated Framework for Two-pass Personalized Voice Trigger

no code implementations30 Jun 2021 Dexin Liao, Jing Li, Yiming Zhi, Song Li, Qingyang Hong, Lin Li

For the SV system, we proposed a multi-task learning network, where phonetic branch is trained with the character label of the utterance, and speaker branch is trained with the label of the speaker.

Keyword Spotting Multi-Task Learning +1

Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure

no code implementations17 Apr 2021 Lu Ji, Jing Li, Zhongyu Wei, Qi Zhang, Xuanjing Huang

Numerous online conversations are produced on a daily basis, resulting in a pressing need to conversation understanding.

Causal Hidden Markov Model for Time Series Disease Forecasting

no code implementations CVPR 2021 Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang

We propose a causal hidden Markov model to achieve robust prediction of irreversible disease at an early stage, which is safety-critical and vital for medical treatment in early stages.

Time Series Analysis

Dilated SpineNet for Semantic Segmentation

no code implementations23 Mar 2021 Abdullah Rashwan, Xianzhi Du, Xiaoqi Yin, Jing Li

Scale-permuted networks have shown promising results on object bounding box detection and instance segmentation.

Instance Segmentation Semantic Segmentation

Global Existence of Strong and Weak Solutions to 2D Compressible Navier-Stokes System in Bounded Domains with Large Data and Vacuum

no code implementations18 Feb 2021 Xinyu Fan, Jiaxu Li, Jing Li

We study the barotropic compressible Navier-Stokes system where the shear viscosity is a positive constant and the bulk one proportional to a power of the density with the power bigger than one and a third.

Analysis of PDEs

RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization

no code implementations25 Jan 2021 An Zou, Jing Li, Christopher D. Gill, Xuan Zhang

In this paper, we propose RTGPU, which can schedule the execution of multiple GPU applications in real-time to meet hard deadlines.

Autonomous Vehicles Scheduling

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

Crowd Counting With Partial Annotations in an Image

1 code implementation ICCV 2021 Yanyu Xu, Ziming Zhong, Dongze Lian, Jing Li, Zhengxin Li, Xinxing Xu, Shenghua Gao

To fully leverage the data captured from different scenes with different view angles while reducing the annotation cost, this paper studies a novel crowd counting setting, i. e. only using partial annotations in each image as training data.

Active Learning Crowd Counting

Dispersively probed microwave spectroscopy of a silicon hole double quantum dot

no code implementations31 Dec 2020 Rami Ezzouch, Simon Zihlmann, Vincent P. Michal, Jing Li, Agostino Aprá, Benoit Bertrand, Louis Hutin, Maud Vinet, Matias Urdampilleta, Tristan Meunier, Xavier Jehl, Yann-Michel Niquet, Marc Sanquer, Silvano De Franceschi, Romain Maurand

Owing to ever increasing gate fidelities and to a potential transferability to industrial CMOS technology, silicon spin qubits have become a compelling option in the strive for quantum computation.

Mesoscale and Nanoscale Physics

Constructive and Destructive Interference of Kerker-type Scattering in an Ultra-thin Silicon Huygens Metasurface

no code implementations22 Dec 2020 Xia Zhang, Jing Li, John F. Donegan, A. Louise Bradley

These modes are provided by a designed and fabricated CMOS compatible ultra-thin Silicon nanodisk metasurface with a suppressed magnetic dipole contribution, and verified through multipole decomposition.

Optics Classical Physics

Forecasting Irreversible Disease via Progression Learning

no code implementations CVPR 2021 Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang

In order to account for the degree of progression of the disease, we propose a temporal generative model to accurately generate the future image and compare it with the current one to get a residual image.

Disease Prediction

Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks

1 code implementation9 Dec 2020 Jun Wan, Zhihui Lai, Jing Li, Jie zhou, Can Gao

Recently, heatmap regression has been widely explored in facial landmark detection and obtained remarkable performance.

Facial Landmark Detection regression

Modeling Evolution of Message Interaction for Rumor Resolution

no code implementations COLING 2020 Lei Chen, Zhongyu Wei, Jing Li, Baohua Zhou, Qi Zhang, Xuanjing Huang

Previous work for rumor resolution concentrates on exploiting time-series characteristics or modeling topology structure separately.

Time Series Analysis

Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings

1 code implementation EMNLP 2020 Yue Wang, Jing Li, Michael R. Lyu, Irwin King

Further analyses show that our multi-head attention is able to attend information from various aspects and boost classification or generation in diverse scenarios.

On the Transformer Growth for Progressive BERT Training

no code implementations NAACL 2021 Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han

Due to the excessive cost of large-scale language model pre-training, considerable efforts have been made to train BERT progressively -- start from an inferior but low-cost model and gradually grow the model to increase the computational complexity.

Language Modelling

Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy

no code implementations1 Oct 2020 Suiyi Ling, Jing Li, Anne Flore Perrin, Zhi Li, Lukáš Krasula, Patrick Le Callet

The development of rigorous quality assessment model relies on the collection of reliable subjective data, where the perceived quality of visual multimedia is rated by the human observers.

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

no code implementations30 Sep 2020 Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang

Mammogram benign or malignant classification with only image-level labels is challenging due to the absence of lesion annotations.

Classification General Classification

Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination

no code implementations25 Sep 2020 Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu

A set of experiments on real-world and synthetic datasets show that our method is able to use unlabeled data to achieve a better trade-off between accuracy and discrimination.

BIG-bench Machine Learning Ensemble Learning +1

Fairness Constraints in Semi-supervised Learning

no code implementations14 Sep 2020 Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu

Extensive experiments show that our method is able to achieve fair semi-supervised learning, and reach a better trade-off between accuracy and fairness than fair supervised learning.

BIG-bench Machine Learning Fairness

LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark

1 code implementation3 Aug 2020 Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan, Feng Zheng

We evaluate and analyze more than 30 trackers on LSOTB-TIR to provide a series of baselines, and the results show that deep trackers achieve promising performance.

Thermal Infrared Object Tracking

Multiscale modeling of glioma pseudopalisades: contributions from the tumor microenvironment

no code implementations10 Jul 2020 Pawan Kumar, Jing Li, Christina Surulescu

Moreover, we study two different types of scaling and compare the behavior of the obtained macroscopic PDEs by way of simulations.

Dynamic Online Conversation Recommendation

no code implementations ACL 2020 Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong

Trending topics in social media content evolve over time, and it is therefore crucial to understand social media users and their interpersonal communications in a dynamic manner.

Secure Metric Learning via Differential Pairwise Privacy

no code implementations30 Mar 2020 Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang

This paper studies, for the first time, how pairwise information can be leaked to attackers during distance metric learning, and develops differential pairwise privacy (DPP), generalizing the definition of standard differential privacy, for secure metric learning.

Metric Learning

UFTR: A Unified Framework for Ticket Routing

no code implementations2 Mar 2020 Jianglei Han, Jing Li, Aixin Sun

In short, our results demonstrate that the UFTR is a superior solution to the ticket routing problem because it takes into account previously unexploited interrelationships between the group assignment and group transfer problems.

What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process

no code implementations10 Feb 2020 Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King

In our world with full of uncertainty, debates and argumentation contribute to the progress of science and society.

SuperDTI: Ultrafast diffusion tensor imaging and fiber tractography with deep learning

no code implementations3 Feb 2020 Hongyu Li, Zifei Liang, Chaoyi Zhang, Ruiying Liu, Jing Li, Weihong Zhang, Dong Liang, Bowen Shen, Xiaoliang Zhang, Yulin Ge, Jiangyang Zhang, Leslie Ying

We also demonstrate that the trained neural network is robust to noise and motion in the testing data, and the network trained using healthy volunteer data can be directly applied to stroke patient data without compromising the lesion detectability.

Pose-Assisted Multi-Camera Collaboration for Active Object Tracking

no code implementations15 Jan 2020 Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang

In the system, each camera is equipped with two controllers and a switcher: The vision-based controller tracks targets based on observed images.

Object Tracking

TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis

no code implementations18 Dec 2019 Soroosh Khoram, Jing Li

Neural network compression methods have enabled deploying large models on emerging edge devices with little cost, by adapting already-trained models to the constraints of these devices.

Active Learning Neural Network Compression

Interleaved Composite Quantization for High-Dimensional Similarity Search

no code implementations18 Dec 2019 Soroosh Khoram, Stephen J. Wright, Jing Li

A method often used to reduce this computational cost is quantization of the vector space and location-based encoding of the dataset vectors.


Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition

no code implementations25 Nov 2019 Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao

For the same action, the knowledge learned from different media types, e. g., videos and images, may be related and complementary.

Action Recognition In Videos Domain Adaptation

Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning

1 code implementation19 Nov 2019 Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu

In this paper, we present a graph-aware encoder-decoder framework to learn a generalizable resource allocation strategy that can properly distribute computation tasks of stream processing graphs unobserved from training data.

Graph Embedding graph partitioning +2

Discrete Argument Representation Learning for Interactive Argument Pair Identification

1 code implementation NAACL 2021 Lu Ji, Zhongyu Wei, Jing Li, Qi Zhang, Xuanjing Huang

In this paper, we focus on extracting interactive argument pairs from two posts with opposite stances to a certain topic.

Representation Learning

Neural Conversation Recommendation with Online Interaction Modeling

no code implementations IJCNLP 2019 Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong

The prevalent use of social media leads to a vast amount of online conversations being produced on a daily basis.

Collaborative Filtering

Subtopic-driven Multi-Document Summarization

no code implementations IJCNLP 2019 Xin Zheng, Aixin Sun, Jing Li, Karthik Muthuswamy

In multi-document summarization, a set of documents to be summarized is assumed to be on the same topic, known as the underlying topic in this paper.

Document Summarization Multi-Document Summarization

Global Temporal Representation based CNNs for Infrared Action Recognition

no code implementations18 Sep 2019 Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao

Existing methods for infrared action recognition are either based on spatial or local temporal information, however, the global temporal information, which can better describe the movements of body parts across the whole video, is not considered.

Action Recognition Optical Flow Estimation +1

Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

1 code implementation ECCV 2020 Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou

Recently, there has been growing interest in developing learning-based methods to detect and utilize salient semi-global or global structures, such as junctions, lines, planes, cuboids, smooth surfaces, and all types of symmetries, for 3D scene modeling and understanding.

Room Layout Estimation

Intrinsic Weight Learning Approach for Multi-view Clustering

no code implementations21 Jun 2019 Feiping Nie, Jing Li, Xuelong. Li

Exploiting different representations, or views, of the same object for better clustering has become very popular these days, which is conventionally called multi-view clustering.

Topic-Aware Neural Keyphrase Generation for Social Media Language

2 code implementations ACL 2019 Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi

Further discussions show that our model learns meaningful topics, which interprets its superiority in social media keyphrase generation.

Keyphrase Generation

Joint Effects of Context and User History for Predicting Online Conversation Re-entries

1 code implementation ACL 2019 Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong

We hypothesize that both the context of the ongoing conversations and the users' previous chatting history will affect their continued interests in future engagement.

Multimodal Transformer with Multi-View Visual Representation for Image Captioning

no code implementations20 May 2019 Jun Yu, Jing Li, Zhou Yu, Qingming Huang

Despite the success of existing studies, current methods only model the co-attention that characterizes the inter-modal interactions while neglecting the self-attention that characterizes the intra-modal interactions.

Image Captioning Machine Translation

Microblog Hashtag Generation via Encoding Conversation Contexts

1 code implementation NAACL 2019 Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi

Automatic hashtag annotation plays an important role in content understanding for microblog posts.

Topic Models

SSoC: Learning Spontaneous and Self-Organizing Communication for Multi-Agent Collaboration

no code implementations ICLR 2019 Xiangyu Kong, Jing Li, Bo Xin, Yizhou Wang

By treating the communication behaviour as an explicit action, SSoC learns to organize communication in an effective and efficient way.

Multi-agent Reinforcement Learning

GANs-NQM: A Generative Adversarial Networks based No Reference Quality Assessment Metric for RGB-D Synthesized Views

no code implementations28 Mar 2019 Suiyi Ling, Jing Li, Junle Wang, Patrick Le Callet

In this paper, we proposed a no-reference (NR) quality metric for RGB plus image-depth (RGB-D) synthesis images based on Generative Adversarial Networks (GANs), namely GANs-NQM.

Local Distortion

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

no code implementations21 Jan 2019 Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji

Recognizing and linking such fine-grained location mentions to well-defined location profiles are beneficial for retrieval and recommendation systems.

Recommendation Systems Representation Learning +2

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

When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method

no code implementations7 Dec 2018 Xiu Yang, Xueyu Zhu, Jing Li

In this work, we propose a framework that combines the approximation-theory-based multifidelity method and Gaussian-process-regression-based multifidelity method to achieve data-model convergence when stochastic simulation models and sparse accurate observation data are available.

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation

1 code implementation6 Dec 2018 Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke

RepeatNet integrates a regular neural recommendation approach in the decoder with a new repeat recommendation mechanism that can choose items from a user's history and recommends them at the right time.

Session-Based Recommendations

A Joint Model of Conversational Discourse Latent Topics on Microblogs

no code implementations CL 2018 Jing Li, Yan Song, Zhongyu Wei, Kam-Fai Wong

To address this issue, we organize microblog messages as conversation trees based on their reposting and replying relations, and propose an unsupervised model that jointly learns word distributions to represent: (1) different roles of conversational discourse, and (2) various latent topics in reflecting content information.

Topic Models

Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation

1 code implementation NeurIPS 2018 Jing Li, Rafal K. Mantiuk, Junle Wang, Suiyi Ling, Patrick Le Callet

In this paper we present a hybrid active sampling strategy for pairwise preference aggregation, which aims at recovering the underlying rating of the test candidates from sparse and noisy pairwise labelling.

A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check

1 code implementation EMNLP 2018 Dingmin Wang, Yan Song, Jing Li, Jialong Han, Haisong Zhang

Chinese spelling check (CSC) is a challenging yet meaningful task, which not only serves as a preprocessing in many natural language processing(NLP) applications, but also facilitates reading and understanding of running texts in peoples{'} daily lives.

Language Modelling Optical Character Recognition +1

A Joint Model of Conversational Discourse and Latent Topics on Microblogs

no code implementations11 Sep 2018 Jing Li, Yan Song, Zhongyu Wei, Kam-Fai Wong

To address this issue, we organize microblog messages as conversation trees based on their reposting and replying relations, and propose an unsupervised model that jointly learns word distributions to represent: 1) different roles of conversational discourse, 2) various latent topics in reflecting content information.

Topic Models

Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition

no code implementations3 Sep 2018 Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang

In order to make the feature representations of videos across views transferable, we then learn a transferable dictionary pair simultaneously from pairs of videos taken at different views to encourage each action video across views to have the same sparse representation.

Action Recognition Denoising +1

Two-stage iterative Procrustes match algorithm and its application for VQ-based speaker verification

no code implementations10 Jul 2018 Richeng Tan, Jing Li

In this paper, we propose a two-stage iterative Procrustes algorithm (TIPM) to address the feature mismatch problem for VQ-based applications.

Quantization Speaker Verification

Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA

no code implementations CVPR 2018 Jialiang Zhang, Soroosh Khoram, Jing Li

The proposed method significantly outperforms state-of-the-art methods on CPU and GPU for high dimensional nearest neighbor queries on billion-scale datasets in terms of query time and accuracy regardless of the batch size.


Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse

no code implementations NAACL 2018 Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong

We propose a statistical model that jointly captures: (1) topics for representing user interests and conversation content, and (2) discourse modes for describing user replying behavior and conversation dynamics.

Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts

no code implementations NAACL 2018 Yingyi Zhang, Jing Li, Yan Song, Chengzhi Zhang

Existing keyphrase extraction methods suffer from data sparsity problem when they are conducted on short and informal texts, especially microblog messages.

Information Retrieval Keyphrase Extraction +1

Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings

no code implementations NAACL 2018 Yan Song, Shuming Shi, Jing Li, Haisong Zhang

In this paper, we present directional skip-gram (DSG), a simple but effective enhancement of the skip-gram model by explicitly distinguishing left and right context in word prediction.

Learning Word Embeddings Part-Of-Speech Tagging +1

A Manually Annotated Chinese Corpus for Non-task-oriented Dialogue Systems

no code implementations15 May 2018 Jing Li, Yan Song, Haisong Zhang, Shuming Shi

This paper presents a large-scale corpus for non-task-oriented dialogue response selection, which contains over 27K distinct prompts more than 82K responses collected from social media.

Informativeness Task-Oriented Dialogue Systems

SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis

no code implementations1 Mar 2018 Fei Gao, Teresa Wu, Jing Li, Bin Zheng, Lingxiang Ruan, Desheng Shang, Bhavika Patel

To evaluate the validity of our approach, we first develop a deep-CNN using 49 CEDM cases collected from Mayo Clinic to prove the contributions from recombined images for improved breast cancer diagnosis (0. 86 in accuracy using LE imaging vs. 0. 90 in accuracy using both LE and recombined imaging).

CityTransfer: Transferring Inter- and Intra-City Knowledge for Chain Store Site Recommendation based on Multi-Source Urban Data

1 code implementation 2018 Bin Guo, Jing Li, Vincent W. Zheng, Zhu Wang, Zhiwen Yu

To solve the cold-start problem, we propose CityTransfer, which transfers chain store knowledge from semantically-relevant domains (e. g., other cities with rich knowledge, similar chain enterprises in the target city) for chain store placement recommendation in a new city.

Association Collaborative Filtering +1

DNN Model Compression Under Accuracy Constraints

no code implementations ICLR 2018 Soroosh Khoram, Jing Li

In this paper, we propose a technique that directly minimizes both the model complexity and the changes in the loss function.

Model Compression

Adaptive Quantization of Neural Networks

no code implementations ICLR 2018 Soroosh Khoram, Jing Li

The optimization problem at the core of this method iteratively uses the loss function gradient to determine an error margin for each parameter and assigns it a precision accordingly.

Edge-computing Model Compression +1

Reservation-Based Federated Scheduling for Parallel Real-Time Tasks

no code implementations13 Dec 2017 Niklas Ueter, Georg von der Brüggen, Jian-Jia Chen, Jing Li, Kunal Agrawal

We provide general constraints for the design of such systems and prove that reservation-based federated scheduling has a constant speedup factor with respect to any optimal DAG task scheduler.

Operating Systems Distributed, Parallel, and Cluster Computing

Neural Attentive Session-based Recommendation

3 code implementations13 Nov 2017 Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma

Specifically, we explore a hybrid encoder with an attention mechanism to model the user's sequential behavior and capture the user's main purpose in the current session, which are combined as a unified session representation later.

Session-Based Recommendations

Neural Att entive Session-based Recommendation

1 code implementation CIKM 2017 Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, Jun Ma

Specifically, we explore a hybrid encoder with an attention mechanism to model the user’s sequential behavior and capture the user’s main purpose in the current session, which are combined as a unified session representation later.

Session-Based Recommendations

Gaussian Filter in CRF Based Semantic Segmentation

no code implementations2 Sep 2017 Yichi Gu, Qisheng Wu, Jing Li, Kai Cheng

Artificial intelligence is making great changes in academy and industry with the fast development of deep learning, which is a branch of machine learning and statistical learning.

object-detection Object Detection +1

On 3D Face Reconstruction via Cascaded Regression in Shape Space

no code implementations21 Sep 2015 Feng Liu, Dan Zeng, Jing Li, Qijun Zhao

Cascaded regression has been recently applied to reconstructing 3D faces from single 2D images directly in shape space, and achieved state-of-the-art performance.

3D Face Reconstruction regression

Mimicing the Kane-Mele type spin orbit interaction by spin-flexual phonon coupling in graphene devices

no code implementations28 Mar 2015 Zhanbin Bai, Rui Wang, Yazhou Zhou, Tianru Wu, Jianlei Ge, Jing Li, Yuyuan Qin, Fucong Fei, Lu Cao, Xuefeng Wang, Xinran Wang, Shuai Zhang, Liling Sun, You Song, Fengqi Song

On the efforts of enhancing the spin orbit interaction (SOI) of graphene for seeking the dissipationless quantum spin Hall devices, unique Kane-Mele type SOI and high mobility samples are desired.

Mesoscale and Nanoscale Physics

Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis

no code implementations NeurIPS 2011 Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman

This is especially true for early AD, at which stage the disease-related regions are most likely to be weak-effect regions that are difficult to be detected from a single modality alone.


Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data

no code implementations NeurIPS 2009 Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye

Recent advances in neuroimaging techniques provide great potentials for effective diagnosis of Alzheimer’s disease (AD), the most common form of dementia.

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