Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Jing Li

Jing Li

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


Apr 17, 2021
Lu Ji, Jing Li, Zhongyu Wei, Qi Zhang, Xuanjing Huang

Figure 1 for Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure
Figure 2 for Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure
Figure 3 for Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure
Figure 4 for Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure
* 10 pages, 7 figures, 3 tables submitted for emnlp2021 
  Access Paper or Ask Questions

Causal Hidden Markov Model for Time Series Disease Forecasting


Mar 30, 2021
Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang

Figure 1 for Causal Hidden Markov Model for Time Series Disease Forecasting
Figure 2 for Causal Hidden Markov Model for Time Series Disease Forecasting
Figure 3 for Causal Hidden Markov Model for Time Series Disease Forecasting
Figure 4 for Causal Hidden Markov Model for Time Series Disease Forecasting

  Access Paper or Ask Questions

Dilated SpineNet for Semantic Segmentation


Mar 23, 2021
Abdullah Rashwan, Xianzhi Du, Xiaoqi Yin, Jing Li

Figure 1 for Dilated SpineNet for Semantic Segmentation
Figure 2 for Dilated SpineNet for Semantic Segmentation
Figure 3 for Dilated SpineNet for Semantic Segmentation
Figure 4 for Dilated SpineNet for Semantic Segmentation
* 8 pages 
  Access Paper or Ask Questions

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


Jan 27, 2021
An Zou, Jing Li, Christopher D. Gill, Xuan Zhang

Figure 1 for RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization
Figure 2 for RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization
Figure 3 for RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization
Figure 4 for RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization

  Access Paper or Ask Questions

Disease Forecast via Progression Learning


Dec 21, 2020
Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang

Figure 1 for Disease Forecast via Progression Learning
Figure 2 for Disease Forecast via Progression Learning
Figure 3 for Disease Forecast via Progression Learning
Figure 4 for Disease Forecast via Progression Learning

  Access Paper or Ask Questions

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


Dec 10, 2020
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao

Figure 1 for Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
Figure 2 for Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
Figure 3 for Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
Figure 4 for Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
* This paper has been accepted by TNNLS December 2020. Project page:https://github.com/junwan2014/MMDN-master 
  Access Paper or Ask Questions

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


Nov 03, 2020
Yue Wang, Jing Li, Michael R. Lyu, Irwin King

Figure 1 for Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
Figure 2 for Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
Figure 3 for Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
Figure 4 for Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
* EMNLP 2020 (14 pages) 
  Access Paper or Ask Questions

On the Transformer Growth for Progressive BERT Training


Oct 23, 2020
Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han

Figure 1 for On the Transformer Growth for Progressive BERT Training
Figure 2 for On the Transformer Growth for Progressive BERT Training
Figure 3 for On the Transformer Growth for Progressive BERT Training
Figure 4 for On the Transformer Growth for Progressive BERT Training

  Access Paper or Ask Questions

Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy


Oct 01, 2020
Suiyi Ling, Jing Li, Anne Flore Perrin, Zhi Li, LukΓ‘Ε‘ Krasula, Patrick Le Callet

Figure 1 for Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
Figure 2 for Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
Figure 3 for Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
Figure 4 for Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
* 8 pages, 11 figures 
  Access Paper or Ask Questions

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification


Sep 30, 2020
Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang

Figure 1 for Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
Figure 2 for Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
Figure 3 for Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
Figure 4 for Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

  Access Paper or Ask Questions

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


Sep 25, 2020
Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu

Figure 1 for Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
Figure 2 for Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
Figure 3 for Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
Figure 4 for Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
* This paper has been published in IEEE Transactions on Knowledge and Data Engineering 
  Access Paper or Ask Questions

Fairness Constraints in Semi-supervised Learning


Sep 14, 2020
Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu

Figure 1 for Fairness Constraints in Semi-supervised Learning
Figure 2 for Fairness Constraints in Semi-supervised Learning
Figure 3 for Fairness Constraints in Semi-supervised Learning
Figure 4 for Fairness Constraints in Semi-supervised Learning

  Access Paper or Ask Questions

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


Aug 03, 2020
Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan, Feng Zheng

Figure 1 for LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
Figure 2 for LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
Figure 3 for LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
Figure 4 for LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
* accepted by ACM Mutlimedia Conference, 2020 
  Access Paper or Ask Questions

Secure Metric Learning via Differential Pairwise Privacy


Mar 30, 2020
Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang

Figure 1 for Secure Metric Learning via Differential Pairwise Privacy
Figure 2 for Secure Metric Learning via Differential Pairwise Privacy
Figure 3 for Secure Metric Learning via Differential Pairwise Privacy
Figure 4 for Secure Metric Learning via Differential Pairwise Privacy

  Access Paper or Ask Questions

UFTR: A Unified Framework for Ticket Routing


Mar 02, 2020
Jianglei Han, Jing Li, Aixin Sun

Figure 1 for UFTR: A Unified Framework for Ticket Routing
Figure 2 for UFTR: A Unified Framework for Ticket Routing
Figure 3 for UFTR: A Unified Framework for Ticket Routing
Figure 4 for UFTR: A Unified Framework for Ticket Routing

  Access Paper or Ask Questions

GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling


Mar 01, 2020
Jing Li, Suiyi Ling, Junle Wang, Zhi Li, Patrick Le Callet

Figure 1 for GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling
Figure 2 for GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling
Figure 3 for GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling
Figure 4 for GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling

  Access Paper or Ask Questions

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


Feb 10, 2020
Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King

Figure 1 for What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process
Figure 2 for What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process
Figure 3 for What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process
Figure 4 for What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process
* 12 pages, accepted by The Web Conference 2020 (WWW'20) 
  Access Paper or Ask Questions

Deep Learning for Highly Accelerated Diffusion Tensor Imaging


Feb 03, 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

Figure 1 for Deep Learning for Highly Accelerated Diffusion Tensor Imaging
Figure 2 for Deep Learning for Highly Accelerated Diffusion Tensor Imaging
Figure 3 for Deep Learning for Highly Accelerated Diffusion Tensor Imaging
Figure 4 for Deep Learning for Highly Accelerated Diffusion Tensor Imaging
* 13 pages, 9 figures 
  Access Paper or Ask Questions

Pose-Assisted Multi-Camera Collaboration for Active Object Tracking


Jan 15, 2020
Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang

Figure 1 for Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
Figure 2 for Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
Figure 3 for Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
Figure 4 for Pose-Assisted Multi-Camera Collaboration for Active Object Tracking

  Access Paper or Ask Questions

Interleaved Composite Quantization for High-Dimensional Similarity Search


Dec 19, 2019
Soroosh Khoram, Stephen J Wright, Jing Li

Figure 1 for Interleaved Composite Quantization for High-Dimensional Similarity Search
Figure 2 for Interleaved Composite Quantization for High-Dimensional Similarity Search
Figure 3 for Interleaved Composite Quantization for High-Dimensional Similarity Search
Figure 4 for Interleaved Composite Quantization for High-Dimensional Similarity Search

  Access Paper or Ask Questions

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


Dec 19, 2019
Soroosh Khoram, Jing Li

Figure 1 for TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
Figure 2 for TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
Figure 3 for TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
Figure 4 for TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis

  Access Paper or Ask Questions

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


Nov 25, 2019
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao

Figure 1 for Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
Figure 2 for Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
Figure 3 for Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
Figure 4 for Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
* Accepted by IEEE Transactions on Image Processing, codes can be found at https://yangliu9208.github.io/DIVAFN/ 
  Access Paper or Ask Questions

Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning


Nov 19, 2019
Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu

Figure 1 for Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
Figure 2 for Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
Figure 3 for Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
Figure 4 for Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
* Accepted by AAAI 2020 
  Access Paper or Ask Questions

A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories


Nov 18, 2019
Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet

Figure 1 for A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Figure 2 for A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Figure 3 for A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Figure 4 for A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
* Accepted by AAAI2020 
  Access Paper or Ask Questions

Discrete Argument Representation Learning for Interactive Argument Pair Identification


Nov 05, 2019
Lu Ji, Zhongyu Wei, Jing Li, Qi Zhang, Xuanjing Huang

Figure 1 for Discrete Argument Representation Learning for Interactive Argument Pair Identification
Figure 2 for Discrete Argument Representation Learning for Interactive Argument Pair Identification
Figure 3 for Discrete Argument Representation Learning for Interactive Argument Pair Identification
Figure 4 for Discrete Argument Representation Learning for Interactive Argument Pair Identification
* 10 pages, 5 figures, 3 tables submitted for consideration of publication to the IEEE Transactions on Audio, Speech, and Language Processing, 2019 
  Access Paper or Ask Questions

Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition


Sep 18, 2019
Yang Liu, Zhaoyang Lu, Jing Li, Chao Yao, Yanzi Deng

Figure 1 for Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition
Figure 2 for Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition
Figure 3 for Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition
Figure 4 for Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition
* Published in Complexity(JCR Rank 1, IF:4.621),codes can be found at https://yangliu9208.github.io/CDFAG/ 
  Access Paper or Ask Questions

Global Temporal Representation based CNNs for Infrared Action Recognition


Sep 18, 2019
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao

Figure 1 for Global Temporal Representation based CNNs for Infrared Action Recognition
Figure 2 for Global Temporal Representation based CNNs for Infrared Action Recognition
Figure 3 for Global Temporal Representation based CNNs for Infrared Action Recognition
Figure 4 for Global Temporal Representation based CNNs for Infrared Action Recognition
* Published in IEEE Signal Processing Letters, codes can be found at https://yangliu9208.github.io/TSTDDs/ 
  Access Paper or Ask Questions

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


Aug 01, 2019
Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou

Figure 1 for Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Figure 2 for Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Figure 3 for Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Figure 4 for Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
* Project website: https://structured3d-dataset.org 
  Access Paper or Ask Questions