Yuxuan Song

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference.
CoRR, August, 2025

Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM.
CoRR, July, 2025

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model.
CoRR, July, 2025

Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule.
CoRR, May, 2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
CoRR, March, 2025

Unveiling the Hidden Interactions Among Features: A Heterogeneous Graph Approach for Personality Prediction.
Mach. Intell. Res., February, 2025

A simulation-based risk interaction network model for risk management in international construction projects.
J. Oper. Res. Soc., January, 2025

110 kV Power Cable External Disturbance Optical Fiber Sensing Detection and Identification Method Based on ResNeXt and Attention Mechanism.
IEEE Trans. Instrum. Meas., 2025

Linear and Numerical SDoF Bounds of Active RIS-Assisted MIMO Wiretap Interference Channel.
IEEE Open J. Commun. Soc., 2025

Competitive many-task differential evolution with reinforcement learning and meta-knowledge transfer.
Knowl. Based Syst., 2025

Dynamic Detection of Sarcasm Topic-Target Pairs via LLM-Based Knowledge Alignment.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

A Self-Supervised Adaptive Tuning Approach for Out-of-Distribution Social Media Bot Detection.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

A Periodic Bayesian Flow for Material Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Steering Protein Family Design through Profile Bayesian Flow.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

f-PO: Generalizing Preference Optimization with f-divergence Minimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Comparison of Different Coupling Types of Fiber-Optic Fabry-Perot Ultrasonic Sensing for Detecting Partial Discharge Faults in Oil-Paper Insulated Equipment.
IEEE Trans. Instrum. Meas., 2024

Depth awakens: A depth-perceptual attention fusion network for RGB-D camouflaged object detection.
Image Vis. Comput., 2024

Mining the User's Personality With an Attention-Based Label Prompt Method.
IEEE Intell. Syst., 2024

An Overview of Cellular ISAC for Low-Altitude UAV: New Opportunities and Challenges.
CoRR, 2024

ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer.
CoRR, 2024

Structure-Based Molecule Optimization via Gradient-Guided Bayesian Update.
CoRR, 2024

<i>f</i>-PO: Generalizing Preference Optimization with <i>f</i>-divergence Minimization.
CoRR, 2024

PROflow: An iterative refinement model for PROTAC-induced structure prediction.
CoRR, 2024

Depth Awakens: A Depth-perceptual Attention Fusion Network for RGB-D Camouflaged Object Detection.
CoRR, 2024

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks.
CoRR, 2024

A Heterogeneous Network fused with Context-aware Contrastive Learning for Sarcasm Topic-Target Pair Identification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Accelerating GCN Inference on Small Graphs.
Proceedings of the Euro-Par 2024: Parallel Processing Workshops, 2024

2023
A reinforcement learning-based multi-objective optimization in an interval and dynamic environment.
Knowl. Based Syst., November, 2023

Classification and Recognition of Building Appearance Based on Optimized Gradient-Boosted Decision Tree Algorithm.
Sensors, 2023

Equivariant Flow Matching with Hybrid Probability Transport.
CoRR, 2023

RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation.
CoRR, 2023

Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression.
CoRR, 2023

Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Two-Stage Prompt Learning Method for Jointly Predicting Topic and Personality.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

Accelerate Support Vector Clustering via Spectral Data Compression.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D.
Proceedings of the International Conference on Machine Learning, 2023

Camouflaged Object Detection with Feature Grafting and Distractor Aware.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Delay-oriented risk network model for project risk response decisions.
Comput. Ind. Eng., 2022

2021
Follow Your Path: A Progressive Method for Knowledge Distillation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020
Deep geometric convolutional network for automatic modulation classification.
Signal Image Video Process., 2020

Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator.
CoRR, 2020

An Exploratory Study of the Promotion Effectiveness of Recommender Systems.
Proceedings of the ICCMB 2020: The 3rd International Conference on Computers in Management and Business, Tokyo, Japan, January 31, 2020

The Moderating Effect of Artificial Intelligence Phobia on the Relationship between Trust and Product Promotion Effectiveness: An Exploratory Study.
Proceedings of the IC4E 2020: The 11th International Conference on E-Education, 2020

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck.
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.
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.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs.
CoRR, 2019

Lipschitz Generative Adversarial Nets.
Proceedings of the 36th International Conference on Machine Learning, 2019

Guiding the One-to-One Mapping in CycleGAN via Optimal Transport.
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.
CoRR, 2018

Activation Maximization Generative Adversarial Nets.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Volume Ranking and Sequential Selection in Programmatic Display Advertising.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017


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