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Tong Che
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2020 – today
- 2024
- [c21]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. ICLR 2024 - [c20]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Slot Binding for Videos. ICML 2024 - [i22]Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Marco Pavone:
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. CoRR abs/2402.02769 (2024) - [i21]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Binding. CoRR abs/2402.17077 (2024) - [i20]Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou:
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning. CoRR abs/2410.02884 (2024) - 2023
- [j7]Tong Che, Yaoyao Peng, Qiang Zhou, Alissa M. Dickey, Fujun Lai
:
The impacts of gamification designs on consumer purchase: A use and gratification theory perspective. Electron. Commer. Res. Appl. 59: 101268 (2023) - [c19]Xiaoli Zhang, Zhicheng Xu, Hongbing Cheng, Tong Che, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Chunping Wang, Qi Li:
Secure Collaborative Learning in Mining Pool via Robust and Efficient Verification. ICDCS 2023: 794-805 - [c18]Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu:
Sparse Mixture-of-Experts are Domain Generalizable Learners. ICLR 2023 - [c17]Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull:
Robust and Controllable Object-Centric Learning through Energy-based Models. ICLR 2023 - [c16]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. ICML 2023: 8053-8066 - [c15]Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
Guided Conditional Diffusion for Controllable Traffic Simulation. ICRA 2023: 3560-3566 - [i19]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. CoRR abs/2305.11340 (2023) - [i18]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. CoRR abs/2311.02077 (2023) - 2022
- [j6]Tong Che, Zeyu Peng
Online prejudice and barriers to digital innovation: Empirical investigations of Chinese consumers. Inf. Syst. J. 32(3): 630-652 (2022) - [c14]Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi:
SPE: Symmetrical Prompt Enhancement for Fact Probing. EMNLP 2022: 11689-11698 - [i17]Yezhen Wang, Tong Che, Bo Li, Kaitao Song, Hengzhi Pei, Yoshua Bengio, Dongsheng Li:
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One. CoRR abs/2206.12840 (2022) - [i16]Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull:
Robust and Controllable Object-Centric Learning through Energy-based Models. CoRR abs/2210.05519 (2022) - [i15]Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone:
Guided Conditional Diffusion for Controllable Traffic Simulation. CoRR abs/2210.17366 (2022) - [i14]Tarun Gupta, Péter Karkus, Tong Che, Danfei Xu, Marco Pavone:
Foundation Models for Semantic Novelty in Reinforcement Learning. CoRR abs/2211.04878 (2022) - [i13]Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi:
SPE: Symmetrical Prompt Enhancement for Fact Probing. CoRR abs/2211.07078 (2022) - 2021
- [c13]Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio:
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. AAAI 2021: 7002-7010 - [c12]Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li:
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. ICCV 2021: 9282-9291 - [i12]Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li:
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. CoRR abs/2107.12628 (2021) - 2020
- [j5]Rui Yang, Tong Che:
Do social ties matter for purchase frequency? The role of buyers' attitude towards social media marketing. Comput. Hum. Behav. 110: 106376 (2020) - [c11]Xiaofeng Liu
AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation. ECCV (9) 2020: 52-71 - [c10]Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio:
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling. NeurIPS 2020 - [i11]Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio:
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling. CoRR abs/2003.06060 (2020) - [i10]Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer:
Rethinking Distributional Matching Based Domain Adaptation. CoRR abs/2006.13352 (2020) - [i9]Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You:
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation. CoRR abs/2007.06620 (2020)
2010 – 2019
- 2019
- [j4]Jian-Cai Wang, Yao-Yu Wang, Tong Che:
Information sharing and the impact of shutdown policy in a supply chain with market disruption risk in the social media era. Inf. Manag. 56(2): 280-293 (2019) - [j3]Tong Che, Zijing Wu, Yaoyu Wang, Rui Yang:
Impacts of knowledge sourcing on employee innovation: the moderating effect of information transparency. J. Knowl. Manag. 23(2): 221-239 (2019) - [c9]Xiaofeng Liu, Yang Zou, Tong Che, Ping Jia, Peng Ding, Jane You, B. V. K. Vijaya Kumar
Conservative Wasserstein Training for Pose Estimation. ICCV 2019: 8261-8271 - [i8]Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, B. V. K. Vijaya Kumar:
Conservative Wasserstein Training for Pose Estimation. CoRR abs/1911.00962 (2019) - [i7]Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio:
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. CoRR abs/1911.07421 (2019) - 2018
- [c8]Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio:
Residual Connections Encourage Iterative Inference. ICLR (Poster) 2018 - [c7]Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song:
MetaGAN: An Adversarial Approach to Few-Shot Learning. NeurIPS 2018: 2371-2380 - [c6]Tong Che, Zeyu Peng, Fujun Lai, Xiabing Zheng:
Do the public treat online and offline equally? An explorative study. PACIS 2018: 191 - 2017
- [c5]Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, Wenjie Li:
Mode Regularized Generative Adversarial Networks. ICLR (Poster) 2017 - [i6]Tong Che, Yanran Li, Ruixiang Zhang, R. Devon Hjelm, Wenjie Li, Yangqiu Song, Yoshua Bengio:
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks. CoRR abs/1702.07983 (2017) - [i5]R. Devon Hjelm, Athul Paul Jacob, Tong Che, Kyunghyun Cho, Yoshua Bengio:
Boundary-Seeking Generative Adversarial Networks. CoRR abs/1702.08431 (2017) - [i4]Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio:
Residual Connections Encourage Iterative Inference. CoRR abs/1710.04773 (2017) - 2016
- [j2]Tong Che, Zeyu Peng, Zhongsheng Hua
Characteristics of online group-buying website and consumers intention to revisit: the moderating effects of visit channels. Electron. Commer. Res. 16(2): 171-188 (2016) - [c4]Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio:
Architectural Complexity Measures of Recurrent Neural Networks. NIPS 2016: 1822-1830 - [i3]Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio:
Architectural Complexity Measures of Recurrent Neural Networks. CoRR abs/1602.08210 (2016) - [i2]Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, Wenjie Li:
Mode Regularized Generative Adversarial Networks. CoRR abs/1612.02136 (2016) - 2015
- [j1]Tong Che, Zeyu Peng, Kai Hin Lim
Antecedents of consumers' intention to revisit an online group-buying website: A transaction cost perspective. Inf. Manag. 52(5): 588-598 (2015) - [c3]Tong Che:
Verifying Concurrent Data Structures Using Data-Expansion. NETYS 2015: 155-169 - [c2]Tong Che, Xiabing Zheng, Zeyu Peng, Kai Hin Lim, Zhongsheng Hua:
Consumer's Revisit Behavior in Online Group-Buying: A Shopping Value Perspective. PACIS 2015: 117 - [i1]Tong Che:
Eventual Wait-Free Synchronization. CoRR abs/1512.08258 (2015) - 2012
- [c1]Yongqiang Sun, Nan Wang, Chunxiao Yin, Tong Che:
Investigating the Non-Linear Relationships in the Expectancy Theory: The Case of Crowdsourcing Marketplace. AMCIS 2012
Coauthor Index
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