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ORCIDTianlong Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Tianlong Chen 0001
![[0000-0001-7774-8197]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7774-8197")
(aka: Tian-Long Chen 0001) — University of North Carolina at Chapel Hill, Department of Computer Science, Chapel Hill, NC, USA (and 3 more) - Tianlong Chen 0002 — Hubei University of Technology, School of Mechanical Engineering, Wuhan, China
- Tianlong Chen 0003 — Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China
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2020 – today
- 2025
[j3]Qianqian Li, Tianlong Chen, Lixia Wang, Hongshan Gu, Bi Ying Hu, Chuanhua Gu, Zongkui Zhou:
Novelty modulates proactive and reactive cognitive control modes: Evidence from ERP and EEG data. NeuroImage 311: 121178 (2025)- [c12]Rana Muhammad Shahroz, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen:
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches. ICLR 2025 - [c11]Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan:
Graph Sparsification via Mixture of Graphs. ICLR 2025 - [i8]Ziang Yin, Aashish Poonia, Ashish Reddy Bommana, Xinyu Zhao, Zahra Hojati, Tianlong Chen, Krishnendu Chakrabarty, Farshad Firouzi, Jeff Zhang, Jiaqi Gu:
H3PIMAP: A Heterogeneity-Aware Multi-Objective DNN Mapping Framework on Electronic-Photonic Processing-in-Memory Architectures. CoRR abs/2503.07778 (2025) - 2024
- [i7]Guanjie Chen, Xinyu Zhao, Yucheng Zhou, Tianlong Chen, Yu Cheng:
Accelerating Vision Diffusion Transformers with Skip Branches. CoRR abs/2411.17616 (2024) - 2023
- [c10]Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang:
Accelerable Lottery Tickets with the Mixed-Precision Quantization. CVPR Workshops 2023: 4604-4612 - [c9]Tianlong Chen, Zhenyu Zhang, Ajay Kumar Jaiswal, Shiwei Liu, Zhangyang Wang:
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. ICLR 2023 - [i6]Tianlong Chen, Zhenyu Zhang, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang:
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. CoRR abs/2303.01610 (2023) - 2022
- [c8]Tianlong Chen, Xuemei Cheng, Thomas Tsao:
Border Ownership, Category Selectivity and Beyond. ISVC (2) 2022: 27-38 - 2021
- [j2]Jianneng Chen, Xianbing Bian, Liqun Chen, Tianlong Chen, Zhiwei Chen, Chennan Yu:
Design and testing of a production line mechanism for continuous cutting and coring of broccoli. Comput. Electron. Agric. 191: 106505 (2021) - [i5]Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang:
Sandwich Batch Normalization. CoRR abs/2102.11382 (2021) - [i4]Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang:
Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly. CoRR abs/2103.00397 (2021) - [i3]Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR abs/2106.14568 (2021) - 2020
- [j1]Anna M. Nia, Tianlong Chen, Brooke L. Barnette, Kamil Khanipov, Robert L. Ullrich, Suresh K. Bhavnani, Mark R. Emmett:
Efficient identification of multiple pathways: RNA-Seq analysis of livers from 56Fe ion irradiated mice. BMC Bioinform. 21(1): 118 (2020) - [c7]Jiabo Chen, Tianlong Chen, Bin Xiao, Xiuli Bi, Yongchao Wang, Han Duan, Weisheng Li, Junhui Zhang, Xu Ma:
SE-ECGNet: Multi-scale SE-Net for Multi-lead ECG Data. CinC 2020: 1-4 - [i2]Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang:
PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning. CoRR abs/2010.02529 (2020)
2010 – 2019
- 2019
- [c6]Suresh K. Bhavnani, Clark Andersen, Yu-Li Lin, Emmanuel A. Santillana, Tianlong Chen, Yong-Fang Kuo:
The Role of Bipartite Networks in Stratified Predictive Modeling. AMIA 2019 - [c5]Tianlong Chen, Yu-Li Lin, I-Chia Liao, Yong-Fang Kuo, Emmanuel A. Santillana, Clark Andersen, Laurel A. Copeland, Suresh K. Bhavnani:
Bipartite Network Analysis with Multiple Datatypes: Implications for Precision Medicine in the Age of Multi-omics Data. AMIA 2019 - 2018
- [c4]Suresh K. Bhavnani, Revathi Sellappan, Saurabh Joshi, Jonathan Starkey, Winston Chan, Tianlong Chen, Shyam Visweswaran:
Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine. AMIA 2018 - 2017
- [c3]Suresh K. Bhavnani, Archana Ayyaswami, Tianlong Chen, Shyam Visweswaran, Gowtham Bellala, Kevin E. Bassler:
Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine. AMIA 2017 - [c2]Suresh K. Bhavnani, Archana Ayyaswami, Tianlong Chen, Jeremy L. Warner:
Identification of Patient Subgroups in Metastatic Breast Cancer Patients Based on Somatic Copy Number Alterations: A Bipartite Network Analysis. AMIA 2017 - [i1]Tianlong Chen, Pramesh Singh, Kevin E. Bassler:
Network community detection using modularity density measures. CoRR abs/1708.06810 (2017) - 2016
- [c1]Bryant Dang, Joseph Mathew, Tianlong Chen, Suresh K. Bhavnani:
ExplodeLayout: Comprehending Patient Subgroups in Large Networks. AMIA 2016
Coauthor Index
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