The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tie-Yan Liu sits on this spectrum.
This scientist: 538 publications — 95th percentile
95% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tie-Yan Liu sits on this spectrum.
This scientist: 91 D-Index — 96th percentile
96% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Tie-Yan Liu is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research spans multiple subfields, including artificial intelligence, molecular biology, computer vision and pattern recognition, signal processing, and computational theory and mathematics.
The main topics of their work include natural language processing techniques, topic modeling, speech recognition and synthesis, computational drug discovery methods, protein structure and dynamics, machine learning in materials science, and music and audio processing.
Tie-Yan Liu has published numerous papers in various venues, with a substantial number appearing on arXiv (Cornell University). Other notable publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence, Briefings in Bioinformatics, bioRxiv (Cold Spring Harbor Laboratory), and the IEEE Transactions on Pattern Analysis and Machine Intelligence.
Some of the recent papers by Tie-Yan Liu are:
Collaborations have been a significant aspect of their work, with frequent co-authors including Tao Qin, Yingce Xia, Tong Wang, Shufang Xie, and Lijun Wu.
Tie-Yan Liu has been recognized through several professional distinctions. Notably, they were named an IEEE Fellow in 2017 for contributions to machine learning for web search and online advertising. They were also designated an ACM Distinguished Member in 2016 and an ACM Senior Member in 2012.
Guolin Ke;Qi Meng;Thomas Finley;Taifeng Wang
Tie-Yan Liu
Zhe Cao;Tao Qin;Tie-Yan Liu;Ming-Feng Tsai
Unknown
Kaitao Song;Xu Tan;Tao Qin;Jianfeng Lu
Fen Xia;Tie-Yan Liu;Jue Wang;Wensheng Zhang
Di He;Yingce Xia;Tao Qin;Liwei Wang
Yi Ren;Yangjun Ruan;Xu Tan;Tao Qin
Yunbo Cao;Jun Xu;Tie-Yan Liu;Hang Li
Fei Tian;Bin Gao;Qing Cui;Enhong Chen
Hany Hassan;Anthony Aue;Chang Chen;Vishal Chowdhary
Yi Ren;Chenxu Hu;Xu Tan;Tao Qin
Tao Qin;Tie-Yan Liu;Jun Xu;Hang Li
Kaitao Song;Xu Tan;Tao Qin;Jianfeng Lu
Renqian Luo;Fei Tian;Tao Qin;Enhong Chen
Tie-Yan Liu;Jun Xu;Tao Qin;Wenying Xiong
Chengxuan Ying;Tianle Cai;Shengjie Luo;Shuxin Zheng
Ruibin Xiong;Yunchang Yang;Di He;Kai Zheng
Yingce Xia;Di He;Tao Qin;Liwei Wang
Yuyu Zhang;Hanjun Dai;Chang Xu;Jun Feng
Tao Qin;Tie-Yan Liu
Yining Wang;Liwei Wang;Yuanzhi Li;Di He
Guolin Ke;Qi Meng;Taifeng Wang;Wei Chen
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