Ting Chen - RankMe

52 papers A* 16A 4Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	A Generalist Framework for Panoptic Segmentation of Images and Videos. ICCV Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet
2023	A*	`conf`	Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. ICLR Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton
2023	J	`jnl`	FIT: Far-reaching Interleaved Transformers. CoRR Ting Chen, Lala Li
2022	J	`jnl`	A Generalist Framework for Panoptic Segmentation of Images and Videos. CoRR Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet
2022	A*	`conf`	A Unified Sequence Interface for Vision Tasks. NeurIPS Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
2022	J	`jnl`	A Unified Sequence Interface for Vision Tasks. CoRR Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
2022	J	`jnl`	Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. CoRR Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton
2022	J	`jnl`	Decoder Denoising Pretraining for Semantic Segmentation. CoRR Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi
2022	J	`jnl`	Decoder Denoising Pretraining for Semantic Segmentation. Trans. Mach. Learn. Res. Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi
2022	—	`conf`	Denoising Pretraining for Semantic Segmentation. CVPR Workshops Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi
2022	A*	`conf`	Pix2seq: A Language Modeling Framework for Object Detection. ICLR Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton
2022	J	`jnl`	Robust and Efficient Medical Imaging with Self-Supervision. CoRR Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zachary Beaver, Fiona Ryan, Justin Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Gregory S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan
2021	A*	`conf`	Big Self-Supervised Models Advance Medical Image Classification. ICCV Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi
2021	J	`jnl`	Big Self-Supervised Models Advance Medical Image Classification. CoRR Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi
2021	A*	`conf`	Intriguing Properties of Contrastive Losses. NeurIPS Ting Chen, Calvin Luo, Lala Li
2021	J	`jnl`	Pix2seq: A Language Modeling Framework for Object Detection. CoRR Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton
2021	A*	`conf`	Why Do Better Loss Functions Lead to Less Transferable Features? NeurIPS Simon Kornblith, Ting Chen, Honglak Lee, Mohammad Norouzi
2020	A*	`conf`	A Simple Framework for Contrastive Learning of Visual Representations. ICML Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton
2020	J	`jnl`	A Simple Framework for Contrastive Learning of Visual Representations. CoRR Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton
2020	A*	`conf`	Big Self-Supervised Models are Strong Semi-Supervised Learners. NeurIPS Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton
2020	J	`jnl`	Big Self-Supervised Models are Strong Semi-Supervised Learners. CoRR Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton
2020	A*	`conf`	Differentiable Product Quantization for End-to-End Embedding Compression. ICML Ting Chen, Lala Li, Yizhou Sun
2020	J	`jnl`	Intriguing Properties of Contrastive Losses. CoRR Ting Chen, Lala Li
2020	A*	`conf`	The Origins and Prevalence of Texture Bias in Convolutional Neural Networks. NeurIPS Katherine L. Hermann, Ting Chen, Simon Kornblith
2020	J	`jnl`	What's in a Loss Function for Image Classification? CoRR Simon Kornblith, Honglak Lee, Ting Chen, Mohammad Norouzi
2019	J	`jnl`	Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification. CoRR Ting Chen, Song Bian, Yizhou Sun
2019	J	`jnl`	Differentiable Product Quantization for End-to-End Embedding Compression. CoRR Ting Chen, Yizhou Sun
2019	—	`—`	Effective and Efficient Representation Learning for Graph Structures. Ting Chen
2019	—	`conf`	Few-Shot Representation Learning for Out-Of-Vocabulary Words. ACL (1) Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun
2019	J	`jnl`	Few-Shot Representation Learning for Out-Of-Vocabulary Words. CoRR Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun
2019	J	`jnl`	Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. CoRR Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun
2019	A	`conf`	SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. WSDM Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
2019	A*	`conf`	Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. IJCAI Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
2019	J	`jnl`	Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. CoRR Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
2018	J	`jnl`	Graph Edit Distance Computation via Graph Neural Networks. CoRR Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
2018	A	`conf`	HeteroMed: Heterogeneous Information Network for Medical Diagnosis. CIKM Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh
2018	J	`jnl`	HeteroMed: Heterogeneous Information Network for Medical Diagnosis. CoRR Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh
2018	A*	`conf`	Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. ICML Ting Chen, Martin Renqiang Min, Yizhou Sun
2018	J	`jnl`	Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. CoRR Ting Chen, Martin Renqiang Min, Yizhou Sun
2017	—	`conf`	Ideology Detection for Twitter Users via Link Analysis. SBP-BRiMS Yupeng Gu, Ting Chen, Yizhou Sun, Bingyu Wang
2017	J	`jnl`	Joint Text Embedding for Personalized Content-based Recommendation. CoRR Ting Chen, Liangjie Hong, Yue Shi, Yizhou Sun
2017	J	`jnl`	Learning K-way D-dimensional Discrete Code For Compact Embedding Representations. CoRR Ting Chen, Martin Renqiang Min, Yizhou Sun
2017	A*	`conf`	On Sampling Strategies for Neural Network-based Collaborative Filtering. KDD Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong
2017	J	`jnl`	On Sampling Strategies for Neural Network-based Collaborative Filtering. CoRR Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong
2017	A	`conf`	Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. WSDM Ting Chen, Yizhou Sun
2016	A*	`conf`	Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. IJCAI Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
2016	J	`jnl`	Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events. CoRR Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
2016	J	`jnl`	Ideology Detection for Twitter Users with Heterogeneous Types of Links. CoRR Yupeng Gu, Ting Chen, Yizhou Sun, Bingyu Wang
2016	A	`conf`	Integrating Community and Role Detection in Information Networks. SDM Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang
2016	J	`jnl`	Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. CoRR Ting Chen, Yizhou Sun
2015	—	`conf`	On Burst Detection and Prediction in Retweeting Sequence. PAKDD (1) Zhilin Luo, Yue Wang, Xintao Wu, Wandong Cai, Ting Chen
2014	A*	`conf`	Topic-factorized ideal point estimation model for legislative voting network. KDD Yupeng Gu, Yizhou Sun, Ning Jiang, Bingyu Wang, Ting Chen