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 Lin Li

Lin Li

Scalable Geometric Deep Learning on Molecular Graphs


Dec 06, 2021
Nathan C. Frey, Siddharth Samsi, Joseph McDonald, Lin Li, Connor W. Coley, Vijay Gadepally

Figure 1 for Scalable Geometric Deep Learning on Molecular Graphs
Figure 2 for Scalable Geometric Deep Learning on Molecular Graphs
Figure 3 for Scalable Geometric Deep Learning on Molecular Graphs
Figure 4 for Scalable Geometric Deep Learning on Molecular Graphs
* 7 pages, 3 figures, NeurIPS 2021 AI for Science workshop 
  Access Paper or Ask Questions

Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation


Nov 24, 2021
Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu

Figure 1 for Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Figure 2 for Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Figure 3 for Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Figure 4 for Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
* arXiv admin note: substantial text overlap with arXiv:2101.01433 
  Access Paper or Ask Questions

Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering


Oct 22, 2021
Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li

Figure 1 for Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
Figure 2 for Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
Figure 3 for Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
Figure 4 for Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
* accepted by ACM Transactions on Information Systems(TOIS). arXiv admin note: text overlap with arXiv:2108.00705, arXiv:2108.03788 
  Access Paper or Ask Questions

Visual-aware Attention Dual-stream Decoder for Video Captioning


Oct 16, 2021
Zhixin Sun, Xian Zhong, Shuqin Chen, Lin Li, Luo Zhong

Figure 1 for Visual-aware Attention Dual-stream Decoder for Video Captioning
Figure 2 for Visual-aware Attention Dual-stream Decoder for Video Captioning
Figure 3 for Visual-aware Attention Dual-stream Decoder for Video Captioning
Figure 4 for Visual-aware Attention Dual-stream Decoder for Video Captioning

  Access Paper or Ask Questions

DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception


Oct 15, 2021
Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Chen, Lin Li, Dongfang Liu

Figure 1 for DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
Figure 2 for DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
Figure 3 for DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
Figure 4 for DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception

  Access Paper or Ask Questions

Generate & Rank: A Multi-task Framework for Math Word Problems


Sep 07, 2021
Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu

Figure 1 for Generate & Rank: A Multi-task Framework for Math Word Problems
Figure 2 for Generate & Rank: A Multi-task Framework for Math Word Problems
Figure 3 for Generate & Rank: A Multi-task Framework for Math Word Problems
Figure 4 for Generate & Rank: A Multi-task Framework for Math Word Problems
* Findings of EMNLP2021 
  Access Paper or Ask Questions

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation


Sep 07, 2021
Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu

Figure 1 for Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
Figure 2 for Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
Figure 3 for Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
Figure 4 for Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
* Accepted by ICDM 2021 as a regular paper 
  Access Paper or Ask Questions

XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021


Sep 06, 2021
Jie Wang, Fuchuang Tong, Zhicong Chen, Lin Li, Qingyang Hong, Haodong Zhou

Figure 1 for XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021
Figure 2 for XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021
Figure 3 for XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021
Figure 4 for XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021

  Access Paper or Ask Questions

Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation


Sep 03, 2021
Jiahui Li, Kun Kuang, Lin Li, Long Chen, Songyang Zhang, Jian Shao, Jun Xiao

Figure 1 for Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation
Figure 2 for Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation
Figure 3 for Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation
Figure 4 for Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation

  Access Paper or Ask Questions

Approximation Properties of Deep ReLU CNNs


Sep 01, 2021
Juncai He, Lin Li, Jinchao Xu

* 27 pages 
  Access Paper or Ask Questions

A Novel Dataset for Keypoint Detection of quadruped Animals from Images


Aug 31, 2021
Prianka Banik, Lin Li, Xishuang Dong

Figure 1 for A Novel Dataset for Keypoint Detection of quadruped Animals from Images
Figure 2 for A Novel Dataset for Keypoint Detection of quadruped Animals from Images
Figure 3 for A Novel Dataset for Keypoint Detection of quadruped Animals from Images
Figure 4 for A Novel Dataset for Keypoint Detection of quadruped Animals from Images

  Access Paper or Ask Questions

Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images


Aug 18, 2021
Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong

Figure 1 for Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
Figure 2 for Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
Figure 3 for Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
Figure 4 for Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
* accepted by CIKM 2021. arXiv admin note: substantial text overlap with arXiv:2108.00705 
  Access Paper or Ask Questions

DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants


Aug 15, 2021
Deepak Muralidharan, Joel Ruben Antony Moniz, Weicheng Zhang, Stephen Pulman, Lin Li, Megan Barnes, Jingjing Pan, Jason Williams, Alex Acero

Figure 1 for DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
Figure 2 for DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
Figure 3 for DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
Figure 4 for DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
* Interspeech 2021 
  Access Paper or Ask Questions

Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning


Aug 08, 2021
Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong

Figure 1 for Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning
Figure 2 for Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning
Figure 3 for Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning
Figure 4 for Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning
* accepted by ACM ICMI 2021 conference 
  Access Paper or Ask Questions

Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service


Aug 02, 2021
Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong

Figure 1 for Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service
Figure 2 for Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service
Figure 3 for Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service
Figure 4 for Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service
* accepted by IEEE Transactions on Services Computing 
  Access Paper or Ask Questions

OLR 2021 Challenge: Datasets, Rules and Baselines


Jul 23, 2021
Binling Wang, Wenxuan Hu, Jing Li, Yiming Zhi, Zheng Li, Qingyang Hong, Lin Li, Dong Wang, Liming Song, Cheng Yang

Figure 1 for OLR 2021 Challenge: Datasets, Rules and Baselines
Figure 2 for OLR 2021 Challenge: Datasets, Rules and Baselines
* arXiv admin note: text overlap with arXiv:2006.03473, arXiv:1907.07626, arXiv:1806.00616, arXiv:1706.09742 
  Access Paper or Ask Questions

SSC: Semantic Scan Context for Large-Scale Place Recognition


Jul 10, 2021
Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu

Figure 1 for SSC: Semantic Scan Context for Large-Scale Place Recognition
Figure 2 for SSC: Semantic Scan Context for Large-Scale Place Recognition
Figure 3 for SSC: Semantic Scan Context for Large-Scale Place Recognition
Figure 4 for SSC: Semantic Scan Context for Large-Scale Place Recognition
* 8 pages, Accepted by IROS-2021 
  Access Paper or Ask Questions

Oriental Language Recognition (OLR) 2020: Summary and Analysis


Jul 05, 2021
Jing Li, Binling Wang, Yiming Zhi, Zheng Li, Lin Li, Qingyang Hong, Dong Wang

Figure 1 for Oriental Language Recognition (OLR) 2020: Summary and Analysis
Figure 2 for Oriental Language Recognition (OLR) 2020: Summary and Analysis
Figure 3 for Oriental Language Recognition (OLR) 2020: Summary and Analysis
Figure 4 for Oriental Language Recognition (OLR) 2020: Summary and Analysis

  Access Paper or Ask Questions

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure


Jul 01, 2021
Lin Li, Xin Kong, Xiangrui Zhao, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu

Figure 1 for SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure
Figure 2 for SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure
Figure 3 for SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure
Figure 4 for SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure
* 8 pages. Accepted by ICRA-2021 
  Access Paper or Ask Questions

An Integrated Framework for Two-pass Personalized Voice Trigger


Jun 30, 2021
Dexin Liao, Jing Li, Yiming Zhi, Song Li, Qingyang Hong, Lin Li

Figure 1 for An Integrated Framework for Two-pass Personalized Voice Trigger
Figure 2 for An Integrated Framework for Two-pass Personalized Voice Trigger
Figure 3 for An Integrated Framework for Two-pass Personalized Voice Trigger
Figure 4 for An Integrated Framework for Two-pass Personalized Voice Trigger

  Access Paper or Ask Questions

Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification


Jun 25, 2021
Yan Liu, Zheng Li, Lin Li, Qingyang Hong

Figure 1 for Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification
Figure 2 for Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification
Figure 3 for Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification
Figure 4 for Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification

  Access Paper or Ask Questions

Additive Phoneme-aware Margin Softmax Loss for Language Recognition


Jun 24, 2021
Zheng Li, Yan Liu, Lin Li, Qingyang Hong

Figure 1 for Additive Phoneme-aware Margin Softmax Loss for Language Recognition
Figure 2 for Additive Phoneme-aware Margin Softmax Loss for Language Recognition
Figure 3 for Additive Phoneme-aware Margin Softmax Loss for Language Recognition
Figure 4 for Additive Phoneme-aware Margin Softmax Loss for Language Recognition
* Accepted by Interspeech 2021 
  Access Paper or Ask Questions

DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction


Jun 07, 2021
Fengtong Xiao, Lin Li, Weinan Xu, Jingyu Zhao, Xiaofeng Yang, Jun Lang, Hao Wang

Figure 1 for DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
Figure 2 for DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
Figure 3 for DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
Figure 4 for DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
* 9 pages, 5 figures, accepted full paper SIGKDD'21 applied data science track 
  Access Paper or Ask Questions

CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues


May 20, 2021
Bo-Hsiang Tseng, Shruti Bhargava, Jiarui Lu, Joel Ruben Antony Moniz, Dhivya Piraviperumal, Lin Li, Hong Yu

Figure 1 for CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues
Figure 2 for CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues
Figure 3 for CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues
Figure 4 for CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues
* Accepted as a long paper in the main conference by NAACL 2021 
  Access Paper or Ask Questions

ReLU Deep Neural Networks from the Hierarchical Basis Perspective


May 10, 2021
Juncai He, Lin Li, Jinchao Xu

Figure 1 for ReLU Deep Neural Networks from the Hierarchical Basis Perspective
Figure 2 for ReLU Deep Neural Networks from the Hierarchical Basis Perspective
Figure 3 for ReLU Deep Neural Networks from the Hierarchical Basis Perspective
Figure 4 for ReLU Deep Neural Networks from the Hierarchical Basis Perspective
* 27 pages 
  Access Paper or Ask Questions

Compacting Deep Neural Networks for Internet of Things: Methods and Applications


Mar 20, 2021
Ke Zhang, Hanbo Ying, Hong-Ning Dai, Lin Li, Yuangyuang Peng, Keyi Guo, Hongfang Yu

* IEEE Internet of Things Journal, 2021 
 * 25 pages, 11 figures 
  Access Paper or Ask Questions