Tao's Homepage

Tao Li

Department of Computer Science
Purdue University
West Lafayette, IN 47907, USA

Email: root[AT]tao.li
Twitter: @Tao_CS
Other links: GitHub, Google Scholar, ResearchGate, DBLP, and PGP Key.

Peer-Reviewed Publications

2019

Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints
Chaojie Wang, Siyuan Gong, Anye Zhou, Tao Li, and Srinivas Peeta
In the 23rd International Symposium on Transportation and Traffic Theory (ISTTT), Lausanne, Switzerland, July 2019 (Oral Presentation).
In Transportation Research Part C: Emerging Technologies, 2019.
[pdf] [arxiv] [doi] [bib]

AnonymousNet: Natural Face De-Identification with Measurable Privacy
Tao Li and Lei Lin
In CVPR-19 Workshop on Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2019), Long Beach, California, USA, June 2019 (Oral Presentation).
In Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.
[pdf] [poster] [slides] [arxiv] [bib]

Understanding Beauty via Deep Facial Features
Xudong Liu, Tao Li, Hao Peng, Iris Chuoying Ouyang, Taehwan Kim, and Ruizhe Wang
In CVPR-19 Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2019), Long Beach, California, USA, June 2019 (Oral Presentation).
In Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.
[pdf] [slides] [arxiv] [bib]

Beauty Learning and Counterfactual Inference
In CVPR-19 Workshop on Explainable AI, Long Beach, California, USA, June 2019.
In Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.
[pdf] [arxiv] [bib]

Causal Discovery from Electronic Medical Records
In CVPR-19 Workshop on Towards Causal, Explainable and Universal Medical Visual Diagnosis, Long Beach, California, USA, June 2019.

Poster: Natural Face De-Identification
In the 40th IEEE Symposium on Security and Privacy (S&P), San Francisco, California, USA, May 2019.
[pdf] [poster] [bib]

AutoMPC: Efficient Multi-Party Computation for Secure and Privacy-Preserving Cooperative Control of Connected Autonomous Vehicles
Tao Li, Lei Lin, and Siyuan Gong
In Proceedings of the AAAI-19 Workshop on Artificial Intelligence Safety (SafeAI), Honolulu, Hawaii, USA, January 2019.
[pdf] [slides] [poster] [bib]

Mining Semantic Descriptions from Data for Beauty Understanding
Xudong Liu, Tao Li, Peng Hao, Iris Chuoying Ouyang, Taehwan Kim, and Ruizhe Wang
Accepted to the 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, Hawaii, USA, January 2019.
[bib]

2018

Semi-supervised Text Regression with Conditional Generative Adversarial Networks
Tao Li, Xudong Liu, and Shihan Su
In Proceedings of the 2018 IEEE International Conference on Big Data (BigData), Seattle, Washington, USA, December 2018.
[pdf] [arxiv] [doi] [bib]

IVAS: Facilitating Safe and Comfortable Driving with Intelligent Vehicle Audio Systems
Tao Li, Kantapon Kaewtip, Jianxiong Feng, and Lei Lin
In Proceedings of the 2018 IEEE International Conference on Big Data (BigData), Seattle, Washington, USA, December 2018.
[doi] [bib]

Opinion Mining at Scale: A Case Study of the First Self-driving Car Fatality
Tao Li, Minsoo Choi, Yuntao Guo, and Lei Lin
In Proceedings of the 2018 IEEE International Conference on Big Data (BigData), Seattle, Washington, USA, December 2018.
[pdf] [doi] [bib]

YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles
Tao Li, Lei Lin, Minsoo Choi, Kaiming Fu, Siyuan Gong, and Jian Wang
In Proceedings of the 13th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Pattaya, Thailand, November 2018.
[pdf] [arxiv] [doi] [bib]

Byzantine-tolerant V2X Communication System
Tao Li and Lei Lin
Accepted to the 2018 INFORMS Annual Meeting Phoenix (INFORMS), Phoenix, Arizona, USA, November 2018.
[pdf] [bib]

Music Sequence Prediction with Mixture Hidden Markov Models
Tao Li, Minsoo Choi, Kaiming Fu, and Lei Lin
Accepted to the 4th International Conference on Artificial Intelligence and Applications (AI), Dubai, UAE, October 2018.
[pdf] [arxiv] [bib]

Toward Robust and Efficient Training of Generative Adversarial Networks with Bayesian Approximation
Tao Li, Kaiming Fu, Minsoo Choi, Xudong Liu, and Ying Chen
In Approximation Theory and Machine Learning Conference (ATML), West Lafayette, Indiana, USA, September 2018.
[pdf] [bib]

Modeling Uncertainty in Vehicle Trajectory Prediction in a Mixed Connected and Autonomous Vehicle Environment using Deep Learning and Kernel Density Estimation
Accepted to the Fourth Annual Symposium on Transportation Informatics (TransInfo), Amherst, New York, USA, August 2018.
[pdf] [bib]

Deep Learning-based Human-Driven Vehicle Trajectory Prediction and its Application for Platoon Control of Connected and Autonomous Vehicles
Lei Lin, Siyuan Gong, Tao Li, and Srinivas Peeta
In Autonomous Vehicles Symposium 2018 (AVS), San Francisco, California, USA, July 2018.
[pdf] [slides] [bib]

Pre-Prints & Technical Reports

Multiclass Information Flow Propagation Control under Vehicle-to-Vehicle Communication Environments
Jian Wang, Srinivas Peeta, Lili Lu, and Tao Li
arXiv preprint arXiv:1901.11133
[arxiv] [bib]

Cooperative Adaptive Cruise Control for a Platoon of Connected and Autonomous Vehicles Considering Dynamic Information Flow Topology
Siyuan Gong, Anye Zhou, Jian Wang, Tao Li, and Srinivas Peeta
arXiv preprint arXiv:1807.02224
[pdf] [arxiv] [bib]

SoK: Single Image Super-Resolution
Technical Report, 2017.
[pdf] [bib]