3 x WWW papers accepted, by Dr. Gareth Tyson

Posted on by icastro
  1. Ting Liu, Tianhao Miao, Qinghua Wu, Zhenyu Li, Guangxin He, Jiaoren Wu, Xingwu Yang and Gareth Tyson. Demystifying Scaling Performance Bottlenecks in Distributed Deep Learning. In 31st ACM Web Conference (WWW), Lyon, France (2022). [Acceptance Rate: 17%]
  2. Pushkal Agarwal, Aravindh Raman, Kiran Garimella, Damiola Ibosiola, Gareth Tyson and Nishanth Sastry. Jettisoning Junk Messaging in the Era of End-to-End Encryption: A Case Study of WhatsApp. In 31st ACM Web Conference (WWW), Lyon, France (2022). [Acceptance Rate: 17%]
  3. Ehsan Ul Haq, Tristan Braud, Lik Hang Lee, Anish Krishna Vallapuram, Yue Yu, Gareth Tyson and Pan Hui. Short, Colorful, and Irreverent! A Comparative Analysis of New Users on WallstreetBets During the Gamestop Short-squeeze. In 31st ACM Web Conference (WWW), Lyon, France (2022). [Acceptance Rate: 17%]

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