Tianlong Chen

According to our database, Tianlong Chen authored at least 36 papers between 2011 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models.

Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

CoRR, 2020

PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning.

Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang

CoRR, 2020

Can 3D Adversarial Logos Cloak Humans?

Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang

CoRR, 2020

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.

Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang

CoRR, 2020

L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

CoRR, 2020

Efficient identification of multiple pathways: RNA-Seq analysis of livers from 56Fe ion irradiated mice.

Anna M. Nia, Tianlong Chen, Brooke L. Barnette, Kamil Khanipov, Robert L. Ullrich, Suresh K. Bhavnani, Mark R. Emmett

BMC Bioinform., 2020

Multi-Layer Adaptive Finite Time Super Twisting Control for Quaternion-Based Quadrotor Formation With Obstacle Avoidance.

Guowei Zhang, Wei Shang, Guohao Jing, Tianlong Chen, Qihang Liang

IEEE Access, 2020

Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification.

Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Graph Contrastive Learning with Augmentations.

Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.

Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Pre-Training by Adversarial Contrastive Learning.

Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Training Stronger Baselines for Learning to Optimize.

Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Lottery Ticket Hypothesis for Pre-trained BERT Networks.

Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing.

Xiaojing Yu, Tianlong Chen, Zhengjie Yu, Huiyu Li, Yang Yang, Xiaoqian Jiang, Anxiao Jiang

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

AutoSpeech: Neural Architecture Search for Speaker Recognition.

Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang

Proceedings of the Interspeech 2020, 2020

When Does Self-Supervision Help Graph Convolutional Networks?

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Proceedings of the 37th International Conference on Machine Learning, 2020

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.

Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively.

Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

Proceedings of the 8th International Conference on Learning Representations, 2020

Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference.

Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

HALO: Hardware-Aware Learning to Optimize.

Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification.

Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning.

Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Optimize in Swarms.

Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-Directional Text-Image Matching.

Xiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo, Zhangyang Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

ABD-Net: Attentive but Diverse Person Re-Identification.

Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Bipartite Network Analysis with Multiple Datatypes: Implications for Precision Medicine in the Age of Multi-omics Data.

Tianlong Chen, Yu-Li Lin, I-Chia Liao, Yong-Fang Kuo, Emmanuel A. Santillana, Clark Andersen, Laurel A. Copeland, Suresh K. Bhavnani

Proceedings of the AMIA 2019, 2019

The Role of Bipartite Networks in Stratified Predictive Modeling.

Suresh K. Bhavnani, Clark Andersen, Yu-Li Lin, Emmanuel A. Santillana, Tianlong Chen, Yong-Fang Kuo

Proceedings of the AMIA 2019, 2019

2018

Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine.

Suresh K. Bhavnani, Revathi Sellappan, Saurabh Joshi, Jonathan Starkey, Winston Chan, Tianlong Chen, Shyam Visweswaran

Proceedings of the AMIA 2018, 2018

2017

Network community detection using modularity density measures.

Tianlong Chen, Pramesh Singh, Kevin E. Bassler

CoRR, 2017

Identification of Patient Subgroups in Metastatic Breast Cancer Patients Based on Somatic Copy Number Alterations: A Bipartite Network Analysis.

Suresh K. Bhavnani, Archana Ayyaswami, Tianlong Chen, Jeremy L. Warner

Proceedings of the AMIA 2017, 2017

Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine.

Suresh K. Bhavnani, Archana Ayyaswami, Tianlong Chen, Shyam Visweswaran, Gowtham Bellala, Kevin E. Bassler

Proceedings of the AMIA 2017, 2017

2016

ExplodeLayout: Comprehending Patient Subgroups in Large Networks.

Bryant Dang, Joseph Mathew, Tianlong Chen, Suresh K. Bhavnani

Proceedings of the AMIA 2016, 2016

2015

Fusing cross-media for topic detection by dense keyword groups.

Weigang Zhang, Tianlong Chen, Guorong Li, Junbiao Pang, Qingming Huang, Wen Gao

Neurocomputing, 2015

2012

An effective multi-clue fusion approach for web video topic detection.

Tianlong Chen, Chunxi Liu, Qingming Huang

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

2011

Detection and location of near-duplicate video sub-clips by finding dense subgraphs.

Tianlong Chen, Shuqiang Jiang, Lingyang Chu, Qingming Huang

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011