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Yong Li

Efficient Data-specific Model Search for Collaborative Filtering


Jun 14, 2021
Chen Gao, Quanming Yao, Depeng Jin, Yong Li

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* KDD 2021 
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Exploring Sparse Expert Models and Beyond


Jun 14, 2021
An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

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* 16 pages, 8 figures 
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Consistent Instance False Positive Improves Fairness in Face Recognition


Jun 10, 2021
Xingkun Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang, Yong Li, Zhen Cui

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* CVPR2021 
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Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation


May 28, 2021
Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li

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Meta Auxiliary Learning for Facial Action Unit Detection


May 14, 2021
Yong Li, Shiguang Shan

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Learning Normal Dynamics in Videos with Meta Prototype Network


May 10, 2021
Hui Lv, Chen Chen, Zhen Cui, Chunyan Xu, Yong Li, Jian Yang

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* 9 pages, 4 figures, 6 tables 
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Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution


May 03, 2021
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li

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* 13 pages, journal 
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Role-Aware Modeling for N-ary Relational Knowledge Bases


Apr 20, 2021
Yu Liu, Quanming Yao, Yong Li

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* WWW2021 
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SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems


Mar 12, 2021
Chenhao Xu, Yong Li, Yao Deng, Jiaqi Ge, Longxiang Gao, Mengshi Zhang, Yong Xiang, Xi Zheng

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* 12 pages, 9 figures 
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SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance


Mar 10, 2021
Fu-Zhao Ou, Xingyu Chen, Ruixin Zhang, Yuge Huang, Shaoxin Li, Jilin Li, Yong Li, Liujuan Cao, Yuan-Gen Wang

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* IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 
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M6: A Chinese Multimodal Pretrainer


Mar 02, 2021
Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

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* 12 pages, technical report 
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Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network


Feb 21, 2021
Zhenyu Han, Fengli Xu, Jinghan Shi, Yu Shang, Haorui Ma, Pan Hui, Yong Li

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* Published in Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20) 
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Reinforced Contact Tracing and Epidemic Intervention


Feb 04, 2021
Tao Feng, Sirui Song, Tong Xia, Yong Li

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Learnable Embedding Sizes for Recommender Systems


Jan 19, 2021
Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li

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* International Conference on Learning Representations (ICLR), 2021 
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AttnMove: History Enhanced Trajectory Recovery via Attentional Network


Jan 03, 2021
Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li

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Focusing More on Conflicts with Mis-Predictions Helps Language Pre-Training


Dec 16, 2020
Chen Xing, Wencong Xiao, Yong Li, Wei Lin

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EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications


Nov 23, 2020
Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin

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* 4 pages 
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Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures


Nov 11, 2020
Ying-Tao Luo, Peng-Qi Li, Dong-Ting Li, Yu-Gui Peng, Zhi-Guo Geng, Shu-Huan Xie, Yong Li, Andrea Alu, Jie Zhu, Xue-Feng Zhu

* Research, vol. 2020, Article ID 8757403, 2020 
 * Published in Research, an AAAS Science Partner Journal 
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Graph Neural Network with Automorphic Equivalence Filters


Nov 09, 2020
Fengli Xu, Quanming Yao, Pan Hui, Yong Li

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VEGA: Towards an End-to-End Configurable AutoML Pipeline


Nov 05, 2020
Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Xiaozhi Fang, Ning Kang, Lanqing Hong, Wei Zhang, Yong Li, Zhicheng Liu, Zhenguo Li, Wenzhi Liu, Tong Zhang

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* AutoML pipeline. Code is open-sourced at https://github.com/huawei-noah/vega 
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MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions


Oct 12, 2020
Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

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* Under submission 
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Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering


Sep 07, 2020
Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin

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* 20 pages, 7 figures, 8 tables 
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Reinforced Epidemic Control: Saving Both Lives and Economy


Aug 04, 2020
Sirui Song, Zefang Zong, Yong Li, Xue Liu, Yang Yu

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* Accepted by KDD'20 "AI For Covid-19" Initiative 
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DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks


Jul 17, 2020
Rui Wang, Min Chen, Nadra Guizani, Yong Li, Hamid Gharavi, Kai Hwang

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Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases


Jul 08, 2020
Yu Liu, Quanming Yao, Yong Li

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* WWW 2020 
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Proving Non-Inclusion of Büchi Automata based on Monte Carlo Sampling


Jul 07, 2020
Yong Li, Andrea Turrini, Xuechao Sun, Lijun Zhang

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* Accepted to ATVA 2020; typos corrected; authors corrected 
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