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Ting Chen 0007
Person information
- affiliation: Google Brain
- affiliation (PhD 2019): University of California, Los Angeles, USA
- affiliation (former): Northeastern University, Boston, USA
Other persons with the same name
- Ting Chen — disambiguation page
- Ting Chen 0001
— NYU Langone Health, Department of Radiation Oncology, NY, USA (and 3 more)
- Ting Chen 0002
- Ting Chen 0003
- Ting Chen 0004
- Ting Chen 0005
- Ting Chen 0006
- Ting Chen 0008 (aka: Ting Brendan Chen) — University of Western Brittany, Brest, France
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2020 – today
- 2023
- [c23]Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet:
A Generalist Framework for Panoptic Segmentation of Images and Videos. ICCV 2023: 909-919 - [c22]Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton:
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. ICLR 2023 - [i26]Ting Chen, Lala Li:
FIT: Far-reaching Interleaved Transformers. CoRR abs/2305.12689 (2023) - 2022
- [j1]Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi:
Decoder Denoising Pretraining for Semantic Segmentation. Trans. Mach. Learn. Res. 2022 (2022) - [c21]Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi:
Denoising Pretraining for Semantic Segmentation. CVPR Workshops 2022: 4174-4185 - [c20]Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton:
Pix2seq: A Language Modeling Framework for Object Detection. ICLR 2022 - [c19]Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton:
A Unified Sequence Interface for Vision Tasks. NeurIPS 2022 - [i25]Shekoofeh Azizi
Robust and Efficient Medical Imaging with Self-Supervision. CoRR abs/2205.09723 (2022) - [i24]Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi:
Decoder Denoising Pretraining for Semantic Segmentation. CoRR abs/2205.11423 (2022) - [i23]Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton:
A Unified Sequence Interface for Vision Tasks. CoRR abs/2206.07669 (2022) - [i22]Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton:
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. CoRR abs/2208.04202 (2022) - [i21]Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet:
A Generalist Framework for Panoptic Segmentation of Images and Videos. CoRR abs/2210.06366 (2022) - 2021
- [c18]Shekoofeh Azizi
Big Self-Supervised Models Advance Medical Image Classification. ICCV 2021: 3458-3468 - [c17]Ting Chen, Calvin Luo, Lala Li:
Intriguing Properties of Contrastive Losses. NeurIPS 2021: 11834-11845 - [c16]Simon Kornblith, Ting Chen, Honglak Lee, Mohammad Norouzi:
Why Do Better Loss Functions Lead to Less Transferable Features? NeurIPS 2021: 28648-28662 - [i20]Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi:
Big Self-Supervised Models Advance Medical Image Classification. CoRR abs/2101.05224 (2021) - [i19]Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton:
Pix2seq: A Language Modeling Framework for Object Detection. CoRR abs/2109.10852 (2021) - 2020
- [c15]Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton:
A Simple Framework for Contrastive Learning of Visual Representations. ICML 2020: 1597-1607 - [c14]Ting Chen, Lala Li, Yizhou Sun:
Differentiable Product Quantization for End-to-End Embedding Compression. ICML 2020: 1617-1626 - [c13]Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton:
Big Self-Supervised Models are Strong Semi-Supervised Learners. NeurIPS 2020 - [i18]Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton:
A Simple Framework for Contrastive Learning of Visual Representations. CoRR abs/2002.05709 (2020) - [i17]Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton:
Big Self-Supervised Models are Strong Semi-Supervised Learners. CoRR abs/2006.10029 (2020) - [i16]Simon Kornblith, Honglak Lee, Ting Chen, Mohammad Norouzi:
What's in a Loss Function for Image Classification? CoRR abs/2010.16402 (2020) - [i15]Ting Chen, Lala Li:
Intriguing Properties of Contrastive Losses. CoRR abs/2011.02803 (2020)
2010 – 2019
- 2019
- [b1]Ting Chen:
Effective and Efficient Representation Learning for Graph Structures. University of California, Los Angeles, USA, 2019 - [c12]Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Few-Shot Representation Learning for Out-Of-Vocabulary Words. ACL (1) 2019: 4102-4112 - [c11]Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. IJCAI 2019: 1988-1994 - [c10]Yunsheng Bai, Hao Ding, Song Bian
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. WSDM 2019: 384-392 - [i14]Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang:
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. CoRR abs/1904.01098 (2019) - [i13]Ting Chen, Song Bian
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification. CoRR abs/1905.04579 (2019) - [i12]Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. CoRR abs/1905.13728 (2019) - [i11]Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Few-Shot Representation Learning for Out-Of-Vocabulary Words. CoRR abs/1907.00505 (2019) - [i10]Ting Chen, Yizhou Sun:
Differentiable Product Quantization for End-to-End Embedding Compression. CoRR abs/1908.09756 (2019) - 2018
- [c9]Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh:
HeteroMed: Heterogeneous Information Network for Medical Diagnosis. CIKM 2018: 763-772 - [c8]Ting Chen, Martin Renqiang Min, Yizhou Sun:
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. ICML 2018: 853-862 - [i9]Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh:
HeteroMed: Heterogeneous Information Network for Medical Diagnosis. CoRR abs/1804.08052 (2018) - [i8]Ting Chen, Martin Renqiang Min, Yizhou Sun:
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. CoRR abs/1806.09464 (2018) - [i7]Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang:
Graph Edit Distance Computation via Graph Neural Networks. CoRR abs/1808.05689 (2018) - 2017
- [c7]Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong:
On Sampling Strategies for Neural Network-based Collaborative Filtering. KDD 2017: 767-776 - [c6]Yupeng Gu, Ting Chen, Yizhou Sun, Bingyu Wang:
Ideology Detection for Twitter Users via Link Analysis. SBP-BRiMS 2017: 262-268 - [c5]Ting Chen, Yizhou Sun:
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. WSDM 2017: 295-304 - [i6]Ting Chen, Liangjie Hong, Yue Shi, Yizhou Sun:
Joint Text Embedding for Personalized Content-based Recommendation. CoRR abs/1706.01084 (2017) - [i5]Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong:
On Sampling Strategies for Neural Network-based Collaborative Filtering. CoRR abs/1706.07881 (2017) - [i4]Ting Chen, Martin Renqiang Min, Yizhou Sun:
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations. CoRR abs/1711.03067 (2017) - 2016
- [c4]Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang:
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. IJCAI 2016: 1396-1403 - [c3]Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang:
Integrating Community and Role Detection in Information Networks. SDM 2016: 72-80 - [i3]Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang:
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events. CoRR abs/1608.07502 (2016) - [i2]Ting Chen, Yizhou Sun:
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. CoRR abs/1612.02814 (2016) - [i1]Yupeng Gu, Ting Chen, Yizhou Sun, Bingyu Wang:
Ideology Detection for Twitter Users with Heterogeneous Types of Links. CoRR abs/1612.08207 (2016) - 2015
- [c2]Zhilin Luo, Yue Wang, Xintao Wu
On Burst Detection and Prediction in Retweeting Sequence. PAKDD (1) 2015: 96-107 - 2014
- [c1]Yupeng Gu, Yizhou Sun, Ning Jiang, Bingyu Wang, Ting Chen:
Topic-factorized ideal point estimation model for legislative voting network. KDD 2014: 183-192
Coauthor Index
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