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Yuxuan Song

Affiliations:

Tsinghua University, Institute of AI Industry Research (AIR), China

According to our database¹, Yuxuan Song authored at least 34 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer.

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Trans. Mach. Learn. Res., 2026

2025

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space.

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CoRR, December, 2025

ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation.

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CoRR, August, 2025

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference.

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CoRR, August, 2025

Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM.

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CoRR, July, 2025

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model.

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CoRR, July, 2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

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Guangming Sheng

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CoRR, March, 2025

Smooth Interpolation for Improved Discrete Graph Generative Models.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Periodic Bayesian Flow for Material Generation.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Steering Protein Family Design through Profile Bayesian Flow.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation.

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Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

f-PO: Generalizing Preference Optimization with f-divergence Minimization.

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Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Structure-Based Molecule Optimization via Gradient-Guided Bayesian Update.

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CoRR, 2024

<i>f</i>-PO: Generalizing Preference Optimization with <i>f</i>-divergence Minimization.

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CoRR, 2024

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks.

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CoRR, 2024

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space.

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Equivariant Flow Matching with Hybrid Probability Transport.

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CoRR, 2023

RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation.

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CoRR, 2023

Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation.

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D.

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Proceedings of the International Conference on Machine Learning, 2023

2021

Follow Your Path: A Progressive Method for Knowledge Distillation.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck.

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Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation.

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Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods.

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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs.

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CoRR, 2019

Lipschitz Generative Adversarial Nets.

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Proceedings of the 36th International Conference on Machine Learning, 2019

Guiding the One-to-One Mapping in CycleGAN via Optimal Transport.

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Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis.

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CoRR, 2018

Activation Maximization Generative Adversarial Nets.

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

2017

Volume Ranking and Sequential Selection in Programmatic Display Advertising.

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Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

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