English
分享到
师资队伍

教育背景

1998.09-2002.04   博士    清华大学计算机系             专业:计算机图形学

1996.09-1998.07   硕士    哈尔滨工业大学数学系       专业:计算数学

1992.09-1996.07   学士    哈尔滨工业大学数学系       专业:计算数学

工作履历

2021.06-至今          清华大学                  教授

2018.01-2021.06      清华大学                 长聘副教授

2014.12-2018.01      清华大学                 副教授

2010.06-2014.12      微软亚洲研究院        主任研究员

2002.04-2010.06      IBM中国研究院        资深研究员,经理

奖励与荣誉

2022, IEEE VGTC Visualization Technical Achievement Award 

2022, 福布斯中国科技女性50

2021, IEEE Fellow 

2021, IEEE VIS最佳论文提名奖 

2020, 可视化名人堂 (IEEE Visualization Academy) 

2020, 清华大学第十七届良师益友奖 

2020, IEEE VIS最佳论文提名奖 

2019, 清华大学优秀班主任奖 

2016, IEEE Transaction on Visualization and Computer Graphics最佳编委 

2014, IEEE VIS最佳论文提名奖 

2012, Microsoft Ship-It Award 

2011, Microsoft Ship-It Award 

2010, IBM Research accomplishment 2006, IBM Master Inventor

学术兼职

指导委员会  IEEE VIS, 2020~ ;VINCI, 2012~2013

副主编        IEEE Transactions on Visualization and Computer Graphics, 2019~

大会主席     Visualization in Data Science (VDS) at IEEE VIS, 2018

论文主席     IEEE VIS (VAST) 2016,2017

编委

Artificial Intelligence, 2021~

IEEE Transactions on Visualization and Computer Graphics, 2015~2018

IEEE Transactions on Big data, 2018~

ACM Transactions on Interactive Intelligent Systems , 2019~

编委会        Information Visualization, 2015~;Journal of Visualization, 2018~

学术成果

主要研究方向是可解释机器学习,文本可视分析和文本挖掘。在ACM/IEEE Trans和CCF A类会议发表论文50余篇,包括2篇ESI高被引论文、1篇热点论文(至2018.5)、2篇IEEE TVCG封面论文和2篇EEE VIS(VAST)最佳论文提名奖。获得授权专利50余项。

代表作:

1. Changjian Chen, Yukai Guo, Fengyuan Tian, Shilong Liu, Weikai Yang, Zhaowei Wang, Jing Wu, Hang Su, Hanspeter Pfister, Shixia Liu*. A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision. IEEE Transactions on Visualization and Computer Graphics. 30(1): 76-86, 2024.

2. Jun Yuan, Mengchen Liu, Fengyuan Tian, Shixia Liu*. Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles. IEEE Transactions on Visualization and Computer Graphics. 29(1): 288-298, 2023.

3. Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu*. A Unified Understanding of Deep NLP Models for Text Classification. IEEE Transactions on Visualization and Computer Graphics. 28(12): 4980-4994, 2022.

4. Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu*. Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Transactions on Visualization and Computer Graphics. 27(9): 3701-3716, 2021.

5. Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu*. Analyzing the Noise Robustness of Deep Neural Networks. IEEE Transactions on Visualization and Computer Graphics (accepted). 2020

6. Mengchen Liu, Jiaxin Shi, Kelei Cao, Jun Zhu, S Liu*. Analyzing the Training Processes of Deep Generative Networks. IEEE Transactions on Visualization and Computer Graphics. 2018, 24(1): 77-87 (ESI高被引论文)

7. Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu*. Towards Better Analysis of Deep Convolutional Neural Networks. IEEE Transactions on Visualization and Computer Graphics. 2017, 23(1): 91-100 (ESI 热点论文和高被引论文)

8. Xiting Wang, Shixia Liu*, Junlin Liu, Jianfei Chen, Jun Zhu, Baining Guo. TopicPanorama: A Full Picture of Relevant Topics. IEEE Transactions on Visualization and Computer. 2016, 22(12): 2508-2521 (IEEE TVCG封面论文)

9. Shixia Liu, Michelle X. Zhou, Shimei Pan, Yangqiu Song, Weihong Qian, Weijia Cai, Xiaoxiao Lian. TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis. ACM Transactions on Intelligent Systems and Technology. 2012, 3(2): 25