2025
Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning.
CoRR, April, 2025
LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search.
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Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Antecedents of users' switching intention to Central Bank Digital Currency: A push-pull-mooring model perspective.
Electron. Commer. Res. Appl., 2024
Learning Multiple Initial Solutions to Optimization Problems.
CoRR, 2024
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.
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CoRR, 2024
Parallelized Spatiotemporal Binding.
CoRR, 2024
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate.
CoRR, 2024
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Parallelized Spatiotemporal Slot Binding for Videos.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.
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Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
The impacts of gamification designs on consumer purchase: A use and gratification theory perspective.
Electron. Commer. Res. Appl., May, 2023
Guided Conditional Diffusion for Controllable Traffic Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models.
Proceedings of the International Conference on Machine Learning, 2023
Robust and Controllable Object-Centric Learning through Energy-based Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Sparse Mixture-of-Experts are Domain Generalizable Learners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Secure Collaborative Learning in Mining Pool via Robust and Efficient Verification.
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.
Inf. Syst. J., 2022
Foundation Models for Semantic Novelty in Reinforcement Learning.
CoRR, 2022
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One.
CoRR, 2022
SPE: Symmetrical Prompt Enhancement for Fact Probing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Rethinking Distributional Matching Based Domain Adaptation.
CoRR, 2020
Do social ties matter for purchase frequency? The role of buyers' attitude towards social media marketing.
Comput. Hum. Behav., 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling.
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.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Impacts of knowledge sourcing on employee innovation: the moderating effect of information transparency.
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.
Inf. Manag., 2019
Conservative Wasserstein Training for Pose Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Do the public treat online and offline equally? An explorative study.
Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018
MetaGAN: An Adversarial Approach to Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Residual Connections Encourage Iterative Inference.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Boundary-Seeking Generative Adversarial Networks.
CoRR, 2017
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks.
CoRR, 2017
Mode Regularized Generative Adversarial Networks.
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.
Electron. Commer. Res., 2016
Architectural Complexity Measures of Recurrent Neural Networks.
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.
Inf. Manag., 2015
Eventual Wait-Free Synchronization.
CoRR, 2015
Consumer's Revisit Behavior in Online Group-Buying: A Shopping Value Perspective.
Proceedings of the 19th Pacific Asia Conference on Information Systems, 2015
Verifying Concurrent Data Structures Using Data-Expansion.
Proceedings of the Networked Systems - Third International Conference, 2015
2012
Investigating the Non-Linear Relationships in the Expectancy Theory: The Case of Crowdsourcing Marketplace.
Proceedings of the 18th Americas Conference on Information Systems, 2012