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Dong Li

Kent State University

Representing Videos as Discriminative Sub-graphs for Action Recognition


Jan 11, 2022
Dong Li, Zhaofan Qiu, Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei

* CVPR 2021 

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Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning


Dec 31, 2021
Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath


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Neuro-Symbolic Hierarchical Rule Induction


Dec 26, 2021
Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu

* 10 pages, Figures et references 

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A Survey on Interpretable Reinforcement Learning


Dec 24, 2021
Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu


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Learning State Representations via Retracing in Reinforcement Learning


Nov 24, 2021
Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess


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SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition


Nov 17, 2021
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang

* The winner solution of NeurIPS 2020 MineRL competition (https://www.aicrowd.com/challenges/neurips-2020-minerl-competition/leaderboards). The paper has been accepted by DAI 2021 (the third International Conference on Distributed Artificial Intelligence) 

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Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction


Nov 10, 2021
Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates

* Accepted and presented at ICCAD 2021 

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Convolutional Autoencoder-Based Phase Shift Feedback Compression for Intelligent Reflecting Surface-Assisted Wireless Systems


Oct 27, 2021
Xianhua Yu, Dong Li, Yongjun Xu, Ying-Chang Liang


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Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization


Oct 08, 2021
Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Ting Chen, Jun Zhu


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CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation


Sep 08, 2021
Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang

* corresponding to ; Accepted by CIKM 2021 

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Towards Discriminative Representation Learning for Unsupervised Person Re-identification


Aug 16, 2021
Takashi Isobe, Dong Li, Lu Tian, Weihua Chen, Yi Shan, Shengjin Wang

* ICCV 2021 

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On Sampling Top-K Recommendation Evaluation


Jun 20, 2021
Dong Li, Ruoming Jin, Jing Gao, Zhi Liu


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Towards a Better Understanding of Linear Models for Recommendation


Jun 16, 2021
Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou


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InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping


Jun 13, 2021
Runshi Liu, Pengda Qin, Yuhong Li, Weigao Wen, Dong Li, Kefeng Deng, Qiang Wu


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Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment


Jun 03, 2021
Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao

* 12 pages, 9 figures 

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ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking


May 10, 2021
Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander


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Cross-Dataset Collaborative Learning for Semantic Segmentation


Mar 21, 2021
Li Wang, Dong Li, Yousong Zhu, Lu Tian, Yi Shan

* To Appear at CVPR2021 

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Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking


Mar 19, 2021
Jun Yang, Dong Li, Steven L. Waslander


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Learning Symbolic Rules for Interpretable Deep Reinforcement Learning


Mar 16, 2021
Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao


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On Estimating Recommendation Evaluation Metrics under Sampling


Mar 03, 2021
Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu


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Differentiable Logic Machines


Feb 23, 2021
Zimmer Matthieu, Feng Xuening, Glanois Claire, Jiang Zhaohui, Zhang Jianyi, Weng Paul, Jianye Hao, Dong Li, Wulong Liu


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ZeRO-Offload: Democratizing Billion-Scale Model Training


Jan 18, 2021
Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He


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Towards Better Object Detection in Scale Variation with Adaptive Feature Selection


Dec 09, 2020
Zehui Gong, Dong Li


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Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification


Dec 09, 2020
Haijun Liu, Yanxia Chai, Xiaoheng Tan, Dong Li, Xichuan Zhou


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What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator


Oct 19, 2020
Hongyao Tang, Zhaopeng Meng, Jianye HAO, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang

* Preprint version 

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