Tong Che

According to our database, Tong Che authored at least 35 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Parallelized Spatiotemporal Binding.

Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che

CoRR, 2024

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate.

Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Marco Pavone

CoRR, 2024

2023

The impacts of gamification designs on consumer purchase: A use and gratification theory perspective.

Tong Che, Yaoyao Peng, Qiang Zhou, Alissa M. Dickey, Fujun Lai

Electron. Commer. Res. Appl., May, 2023

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.

Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang

CoRR, 2023

Guided Conditional Diffusion for Controllable Traffic Simulation.

Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models.

Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone

Proceedings of the International Conference on Machine Learning, 2023

Robust and Controllable Object-Centric Learning through Energy-based Models.

Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sparse Mixture-of-Experts are Domain Generalizable Learners.

Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Secure Collaborative Learning in Mining Pool via Robust and Efficient Verification.

Xiaoli Zhang, Zhicheng Xu, Hongbing Cheng, Tong Che, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Chunping Wang, Qi Li

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022

Online prejudice and barriers to digital innovation: Empirical investigations of Chinese consumers.

Tong Che, Zeyu Peng, Fujun Lai, Xin (Robert) Luo

Inf. Syst. J., 2022

Foundation Models for Semantic Novelty in Reinforcement Learning.

Tarun Gupta, Péter Karkus, Tong Che, Danfei Xu, Marco Pavone

CoRR, 2022

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One.

Yezhen Wang, Tong Che, Bo Li, Kaitao Song, Hengzhi Pei, Yoshua Bengio, Dongsheng Li

CoRR, 2022

SPE: Symmetrical Prompt Enhancement for Fact Probing.

Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.

Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.

Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Rethinking Distributional Matching Based Domain Adaptation.

Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer

CoRR, 2020

Do social ties matter for purchase frequency? The role of buyers' attitude towards social media marketing.

Rui Yang, Tong Che

Comput. Hum. Behav., 2020

Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling.

Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation.

Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Impacts of knowledge sourcing on employee innovation: the moderating effect of information transparency.

Tong Che, Zijing Wu, Yaoyu Wang, Rui Yang

J. Knowl. Manag., 2019

Information sharing and the impact of shutdown policy in a supply chain with market disruption risk in the social media era.

Jian-Cai Wang, Yao-Yu Wang, Tong Che

Inf. Manag., 2019

Conservative Wasserstein Training for Pose Estimation.

Xiaofeng Liu, Yang Zou, Tong Che, Ping Jia, Peng Ding, Jane You, B. V. K. Vijaya Kumar

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Do the public treat online and offline equally? An explorative study.

Tong Che, Zeyu Peng, Fujun Lai, Xiabing Zheng

Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

MetaGAN: An Adversarial Approach to Few-Shot Learning.

Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Residual Connections Encourage Iterative Inference.

Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Boundary-Seeking Generative Adversarial Networks.

R. Devon Hjelm, Athul Paul Jacob, Tong Che, Kyunghyun Cho, Yoshua Bengio

CoRR, 2017

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks.

Tong Che, Yanran Li, Ruixiang Zhang, R. Devon Hjelm, Wenjie Li, Yangqiu Song, Yoshua Bengio

CoRR, 2017

Mode Regularized Generative Adversarial Networks.

Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, Wenjie Li

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Characteristics of online group-buying website and consumers intention to revisit: the moderating effects of visit channels.

Tong Che, Zeyu Peng, Zhongsheng Hua

Electron. Commer. Res., 2016

Architectural Complexity Measures of Recurrent Neural Networks.

Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Antecedents of consumers' intention to revisit an online group-buying website: A transaction cost perspective.

Tong Che, Zeyu Peng, Kai Hin Lim, Zhongsheng Hua

Inf. Manag., 2015

Eventual Wait-Free Synchronization.

Tong Che

CoRR, 2015

Consumer's Revisit Behavior in Online Group-Buying: A Shopping Value Perspective.

Tong Che, Xiabing Zheng, Zeyu Peng, Kai Hin Lim, Zhongsheng Hua

Proceedings of the 19th Pacific Asia Conference on Information Systems, 2015

Verifying Concurrent Data Structures Using Data-Expansion.

Tong Che

Proceedings of the Networked Systems - Third International Conference, 2015

2012

Investigating the Non-Linear Relationships in the Expectancy Theory: The Case of Crowdsourcing Marketplace.

Yongqiang Sun, Nan Wang, Chunxiao Yin, Tong Che

Proceedings of the 18th Americas Conference on Information Systems, 2012