Chen, Ting

44 publications

ICLR 2026 Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis Xuanzhong Chen, Zile Qiao, Guoxin Chen, Liangcai Su, Zhen Zhang, Xinyu Wang, Pengjun Xie, Fei Huang, Jingren Zhou, Yong Jiang, Ting Chen

CVPR 2025 Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection Ziqi Li, Tao Gao, Yisheng An, Ting Chen, Jing Zhang, Yuanbo Wen, Mengkun Liu, Qianxi Zhang

AAAI 2025 CoPRA: Bridging Cross-Domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction Rong Han, Xiaohong Liu, Tong Pan, Jing Xu, Xiaoyu Wang, Wuyang Lan, Zhenyu Li, Zixuan Wang, Jiangning Song, Guangyu Wang, Ting Chen

AAAI 2025 HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-Task Learning Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen

AAAI 2025 Multi-Axis Prompt and Multi-Dimension Fusion Network for All-in-One Weather-Degraded Image Restoration Yuanbo Wen, Tao Gao, Jing Zhang, Ziqi Li, Ting Chen

NeurIPS 2025 Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning Shikuang Deng, Jiayuan Zhang, Yuhang Wu, Ting Chen, Shi Gu

AAAI 2024 DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu

ICML 2024 Denoising Autoregressive Representation Learning Yazhe Li, Jorg Bornschein, Ting Chen

ICLR 2024 Perceptual Group Tokenizer: Building Perception with Iterative Grouping Zhiwei Deng, Ting Chen, Yang Li

ICCV 2023 A Generalist Framework for Panoptic Segmentation of Images and Videos Ting Chen, Lala Li, Saurabh Saxena, Geoffrey Hinton, David J. Fleet

ICLR 2023 Analog Bits: Generating Discrete Data Using Diffusion Models with Self-Conditioning Ting Chen, Ruixiang Zhang, Geoffrey Hinton

CVPR 2023 DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection Xuan Zhang, Shiyu Li, Xi Li, Ping Huang, Jiulong Shan, Ting Chen

ICML 2023 Scalable Adaptive Computation for Iterative Generation Allan Jabri, David J. Fleet, Ting Chen

NeurIPS 2022 A Unified Sequence Interface for Vision Tasks Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J Fleet, Geoffrey E. Hinton

TMLR 2022 Decoder Denoising Pretraining for Semantic Segmentation Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi

CVPRW 2022 Denoising Pretraining for Semantic Segmentation Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi

AAAI 2022 Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister

ICLR 2022 Pix2seq: A Language Modeling Framework for Object Detection Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey Hinton

NeurIPS 2022 Understanding and Improving Robustness of Vision Transformers Through Patch-Based Negative Augmentation Yao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang

ICCV 2021 Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi

NeurIPS 2021 Improved Transformer for High-Resolution GANs Long Zhao, Zizhao Zhang, Ting Chen, Dimitris Metaxas, Han Zhang

NeurIPS 2021 Improving Contrastive Learning on Imbalanced Data via Open-World Sampling Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

NeurIPS 2021 Intriguing Properties of Contrastive Losses Ting Chen, Calvin Luo, Lala Li

ICLR 2021 Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong

NeurIPSW 2021 Understanding and Improving Robustness of VisionTransformers Through Patch-Based NegativeAugmentation Yao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang

NeurIPS 2021 Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith, Ting Chen, Honglak Lee, Mohammad Norouzi

ICML 2020 A Simple Framework for Contrastive Learning of Visual Representations Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton

IJCAI 2020 Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding Ke Wang, Xuyan Chen, Ning Chen, Ting Chen

NeurIPS 2020 Big Self-Supervised Models Are Strong Semi-Supervised Learners Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton

ICML 2020 Differentiable Product Quantization for End-to-End Embedding Compression Ting Chen, Lala Li, Yizhou Sun

NeurIPS 2020 Graph Contrastive Learning with Augmentations Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

NeurIPS 2020 Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

ICLR 2020 SVQN: Sequential Variational Soft Q-Learning Networks Shiyu Huang, Hang Su, Jun Zhu, Ting Chen

NeurIPS 2020 The Origins and Prevalence of Texture Bias in Convolutional Neural Networks Katherine Hermann, Ting Chen, Simon Kornblith

ICLR 2020 Understanding Why Neural Networks Generalize Well Through GSNR of Parameters Jinlong Liu, Guoqing Jiang, Yunzhi Bai, Ting Chen, Huayan Wang

AAAI 2019 Combo-Action: Training Agent for FPS Game with Auxiliary Tasks Shiyu Huang, Hang Su, Jun Zhu, Ting Chen

ICLR 2019 On Self Modulation for Generative Adversarial Networks Ting Chen, Mario Lucic, Neil Houlsby, Sylvain Gelly

CVPR 2019 Self-Supervised GANs via Auxiliary Rotation Loss Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby

IJCAI 2019 Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang

ICML 2018 Learning K-Way D-Dimensional Discrete Codes for Compact Embedding Representations Ting Chen, Martin Renqiang Min, Yizhou Sun

IJCAI 2016 Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang

IJCAI 2013 Social Influence Locality for Modeling Retweeting Behaviors Jing Zhang, Biao Liu, Jie Tang, Ting Chen, Juanzi Li

CVPR 2008 Meshless Deformable Models for LV Motion Analysis Xiaoxu Wang, Dimitris N. Metaxas, Ting Chen, Leon Axel

CVPR 2004 MetaMorphs: Deformable Shape and Texture Models Xiaolei Huang, Dimitris N. Metaxas, Ting Chen