Tianlong Chen

According to our database1, Tianlong Chen authored at least 36 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models.
CoRR, 2020

PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning.
CoRR, 2020

Can 3D Adversarial Logos Cloak Humans?
CoRR, 2020

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.
CoRR, 2020

L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.
CoRR, 2020

Efficient identification of multiple pathways: RNA-Seq analysis of livers from 56Fe ion irradiated mice.
BMC Bioinform., 2020

Multi-Layer Adaptive Finite Time Super Twisting Control for Quaternion-Based Quadrotor Formation With Obstacle Avoidance.
IEEE Access, 2020

Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Graph Contrastive Learning with Augmentations.
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.
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.
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.
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.
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.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

AutoSpeech: Neural Architecture Search for Speaker Recognition.
Proceedings of the Interspeech 2020, 2020

When Does Self-Supervision Help Graph Convolutional Networks?
Proceedings of the 37th International Conference on Machine Learning, 2020

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.
Proceedings of the 37th International Conference on Machine Learning, 2020

I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively.
Proceedings of the 8th International Conference on Learning Representations, 2020

Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference.
Proceedings of the 8th International Conference on Learning Representations, 2020

HALO: Hardware-Aware Learning to Optimize.
Proceedings of the Computer Vision - ECCV 2020, 2020

L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.
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.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning to Optimize in Swarms.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

ABD-Net: Attentive but Diverse Person Re-Identification.
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.
Proceedings of the AMIA 2019, 2019

The Role of Bipartite Networks in Stratified Predictive Modeling.
Proceedings of the AMIA 2019, 2019

2018
Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine.
Proceedings of the AMIA 2018, 2018

2017
Network community detection using modularity density measures.
CoRR, 2017

Identification of Patient Subgroups in Metastatic Breast Cancer Patients Based on Somatic Copy Number Alterations: A Bipartite Network Analysis.
Proceedings of the AMIA 2017, 2017

Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine.
Proceedings of the AMIA 2017, 2017

2016
ExplodeLayout: Comprehending Patient Subgroups in Large Networks.
Proceedings of the AMIA 2016, 2016

2015
Fusing cross-media for topic detection by dense keyword groups.
Neurocomputing, 2015

2012
An effective multi-clue fusion approach for web video topic detection.
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.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011


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