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A Roadmap for Big Model


Apr 02, 2022
Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han, Zhenghao Liu, Ning Ding, Yongming Rao, Yizhao Gao, Liang Zhang, Ming Ding, Cong Fang, Yisen Wang, Mingsheng Long, Jing Zhang, Yinpeng Dong, Tianyu Pang, Peng Cui, Lingxiao Huang, Zheng Liang, Huawei Shen, Hui Zhang, Quanshi Zhang, Qingxiu Dong, Zhixing Tan, Mingxuan Wang, Shuo Wang, Long Zhou, Haoran Li, Junwei Bao, Yingwei Pan, Weinan Zhang, Zhou Yu, Rui Yan, Chence Shi, Minghao Xu, Zuobai Zhang, Guoqiang Wang, Xiang Pan, Mengjie Li, Xiaoyu Chu, Zijun Yao, Fangwei Zhu, Shulin Cao, Weicheng Xue, Zixuan Ma, Zhengyan Zhang, Shengding Hu, Yujia Qin, Chaojun Xiao, Zheni Zeng, Ganqu Cui, Weize Chen, Weilin Zhao, Yuan Yao, Peng Li, Wenzhao Zheng, Wenliang Zhao, Ziyi Wang, Borui Zhang, Nanyi Fei, Anwen Hu, Zenan Ling, Haoyang Li, Boxi Cao, Xianpei Han, Weidong Zhan, Baobao Chang, Hao Sun, Jiawen Deng, Chujie Zheng, Juanzi Li, Lei Hou, Xigang Cao, Jidong Zhai, Zhiyuan Liu, Maosong Sun, Jiwen Lu, Zhiwu Lu, Qin Jin, Ruihua Song, Ji-Rong Wen, Zhouchen Lin, Liwei Wang, Hang Su, Jun Zhu, Zhifang Sui, Jiajun Zhang, Yang Liu, Xiaodong He, Minlie Huang, Jian Tang, Jie Tang

* arXiv admin note: text overlap with arXiv:2107.06499 by other authors 

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Out-Of-Distribution Generalization on Graphs: A Survey


Feb 16, 2022
Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu


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OOD-GNN: Out-of-Distribution Generalized Graph Neural Network


Dec 14, 2021
Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu

* 19 pages 

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AutoGL: A Library for Automated Graph Learning


May 04, 2021
Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu

* *Equal contributions. 8 pages, 1 figure, accepted at ICLR 2021 Workshop on Geometrical and Topological Representation Learning 

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Noise Modulation: Let Your Model Interpret Itself


Mar 19, 2021
Haoyang Li, Xinggang Wang


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Quantitative Evaluations on Saliency Methods: An Experimental Study


Dec 31, 2020
Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Yuanwei Song, Caleb Chen Cao, Lei Chen

* 14 pages, 16 figures 

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Efficient Reservoir Management through Deep Reinforcement Learning


Dec 07, 2020
Xinrun Wang, Tarun Nair, Haoyang Li, Yuh Sheng Reuben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, Milind Tambe

* 5 pages, 4 figures, Workshop paper 

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Billion-scale Network Embedding with Iterative Random Projection


Sep 10, 2018
Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu

* Accepted by ICDM 2018. 10 pages, 8 figures, 2018 IEEE International Conference on Data Mining (ICDM) 

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