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Yi Chang

Jilin University

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection


Sep 29, 2022
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang

* Accepted by COLING 2022. The 29th International Conference on Computational Linguistics, Gyeongju, Republic of Korea 

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A Survey of Learning on Small Data


Jul 29, 2022
Xiaofeng Cao, Weixin Bu, Shengjun Huang, Yingpeng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang


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Sigmoidally Preconditioned Off-policy Learning:a new exploration method for reinforcement learning


May 20, 2022
Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Jielong Yang, Haiyin Piao, Zhixiao Sun, Bei Jiang, Yi Chang


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A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems


May 19, 2022
Yuanbo Xu, En Wang, Yongjian Yang, Yi Chang

* Accepted by IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(TKDE) 

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Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis


Mar 30, 2022
Yi Chang, Zhao Ren, Thanh Tam Nguyen, Wolfgang Nejdl, Björn W. Schuller

* Submitted to INTERSPEECH 2022 

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Unsupervised Image Deraining: Optimization Model Driven Deep CNN


Mar 25, 2022
Changfeng Yu, Yi Chang, Yi Li, Xile Zhao, Luxin Yan

* Accept to 2021ACMMM 

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Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet


Mar 10, 2022
Björn W. Schuller, Alican Akman, Yi Chang, Harry Coppock, Alexander Gebhard, Alexander Kathan, Esther Rituerto-González, Andreas Triantafyllopoulos, Florian B. Pokorny


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Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition


Mar 09, 2022
Yi Chang, Sofiane Laridi, Zhao Ren, Gregory Palmer, Björn W. Schuller, Marco Fisichella

* 11 pages, 6 figures, 3 tables 

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Event-based Video Reconstruction via Potential-assisted Spiking Neural Network


Jan 25, 2022
Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian


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Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning


Nov 24, 2021
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

* 14 pages, 4 tables, 11 figures 

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