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Qing-Guo Chen



[1] Siyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya zhu, Qingtao Yu, Qing-Guo Chen, Qing Da and Lijun Zhang, Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization. (WSDM ’21).

[2] Zi-Hao Qiu, Ying-Chun Jian, Qing-Guo Chen and Lijun Zhang, Learning to Augment Imbalanced Data for Re-ranking Models. (CIKM ’21).

[3] Ze-Sen Chen, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang, Multi-View Partial Multi-label Learning with Graph-based Disambiguation. (AAAI ’20).

[4] Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu and Ming Li, Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution. (AAAI ’20).

[5] Jing-Han Wu, Xuan Wu, Qing-Guo Chen, Yao Hu and Min-Ling Zhang, Feature-Induced Manifold Disamguation for Multi-view Partial Multi-label Learning. (KDD ’20).

[6] He Huang, Wenhao Zheng, Yuanwei Chen, Wei Tang, Qing-Guo Chen and Philip Yu, Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge. (BMVC ’20).

[7] Xuan Wu, Qing-Guo Chen, Yao Hu, Dengbao Wang, Xiaodong Chang, Xiaobo Wang and Min-Lin Zhang, Multi-View Multi-Label Learning with View-Specific Information Extraction. (IJCAI ’19).

[8] Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, and Sheng-Jun Huang, Multi-View Active Learning for Video Recommendation. (IJCAI ’19).

[9] Han Zhang, Wenhao Zheng, Yuanwei Chen, Qing-Guo Chen and Wei Xu, VTGCN: Variational Temporal Graph Convolutional Networks For Spatiotemporal Graph Modeling. (In Press).

[10] Wenhao Zheng, Yuanwei Chen, Xuan Wu, Yi-Feng Wu and Qing-Guo Chen, Towards Enhancing Local Interaction for Short Text Matching with Latent Keywords Exploitation. (In Press).

[11] Han Zhang, Wenhao Zheng, Yuanwei Chen, Qing-Guo Chen and Wei Xu, From Discrete to Continuous: Modeling Graph Dynamics by Neural Differential Graph Convolutional Network. (In Press).

[12] Jun Wang, Yi-Feng Wu, Yuan Miao, Qing-Guo Chen, Yang Yang, De-Chuan Zhan and Yuan Jiang. A Unified Ranking Framework for Recommendation and Personalized Searching. (In Press).

[13] Zi-Hao Qiu, Zhen-Yao Zhang, Qing-Guo Chen and Lijun Zhang. Neighbor-Aware Next-Basket Recommendation. (In Press).

[14] Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen and Bing Wang. Iterative Memory Network for Long Sequential User Behavior Modeling in Recommender Systems. (In Press).

If your Mac is running slow There are many options to address the issue. For a quick check of memory problems First, open Activity Monitor. Choose the process you’re experiencing and click to quit. If the process consumes excessive memory You can shut it down then try it again. You can use the System Memory tab as well to see if there are any processes that run slow within your Mac.

There’s another factor that could cause slowness on your Mac. If you’re running a program which is making use of CPU, it’s best to stop it. In the Activity Monitor and click the “X” button under the buttons. Then, you can utilize Google to search for the apps that are consuming too much CPU power if you aren’t sure what apps are. It should provide you with a pretty good idea of what applications cause your Mac to slow down.

The performance of your Mac may also slow down in the event that it’s loaded with many programs. Operating systems will be slower if you have several programs. There is a way to remove files they don’t need or transfer them to another drive. Open Activity Monitor to see a run-time list of processes running on your Mac. A few errors should appear – this is an indication that your computer has too many running at once.