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M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining


Oct 13, 2021
Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang

* 14 pages, 4 figures 

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Causal Attention for Unbiased Visual Recognition


Aug 19, 2021
Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang

* Accepted by ICCV 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

* 16 pages, 8 figures 

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CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation


Jun 08, 2021
Jingjing Xiong, Lai-Man Po, Wing-Yin Yu, Chang Zhou, Pengfei Xian, Weifeng Ou


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Learning to Rehearse in Long Sequence Memorization


Jun 02, 2021
Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao

* Accepted by ICML 2021 

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Controllable Gradient Item Retrieval


May 31, 2021
Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He

* Accepted by The International World Wide Web Conference (WWW), 2021 

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Connecting Language and Vision for Natural Language-Based Vehicle Retrieval


May 31, 2021
Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Yi Yang, Hongxia Yang

* CVPR 2021 AI CITY CHALLENGE Natural Language-Based Vehicle Retrieval Top 1 

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Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation


May 31, 2021
Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang

* 13 pages, 2 figures. Accepted in ACL2021 Findings 

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UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis


May 29, 2021
Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang

* Under review 

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CogView: Mastering Text-to-Image Generation via Transformers


May 28, 2021
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang


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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

* 12 pages, technical report 

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CogDL: An Extensive Toolkit for Deep Learning on Graphs


Mar 01, 2021
Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang


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Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems


Jun 11, 2020
Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang


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Contrastive Learning for Debiased Candidate Generation at Scale


Jun 02, 2020
Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang


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Understanding Negative Sampling in Graph Representation Learning


May 20, 2020
Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang

* KDD 2020 

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Controllable Multi-Interest Framework for Recommendation


May 19, 2020
Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang

* Accepted to KDD 2020 

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ExperienceThinking: Hyperparameter Optimization with Budget Constraints


Dec 02, 2019
Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen, Jianzhong Li, Hong Gao


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Learning Disentangled Representations for Recommendation


Oct 31, 2019
Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu

* To appear in the Proceedings of the Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Dimensional Reweighting Graph Convolutional Networks


Jul 04, 2019
Xu Zou, Qiuye Jia, Jianwei Zhang, Chang Zhou, Hongxia Yang, Jie Tang


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Cognitive Knowledge Graph Reasoning for One-shot Relational Learning


Jun 13, 2019
Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang


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Cognitive Graph for Multi-Hop Reading Comprehension at Scale


Jun 04, 2019
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang

* ACL 2019 

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Personalized Bundle List Recommendation


Apr 03, 2019
Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao

* WWW2019, 11 pages 

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Deep Interest Evolution Network for Click-Through Rate Prediction


Nov 06, 2018
Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai

* 9 pages. Accepted by AAAI 2019 

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ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation


Nov 27, 2017
Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao

* AAAI 2018 

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