Yuxuan Song

According to our database, Yuxuan Song authored at least 29 papers between 2017 and 2024.

Collaborative distances:

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

2024

Mining the User's Personality With an Attention-Based Label Prompt Method.

Liping Chen, Yilin Wu, Qiudan Li, Yuxuan Song, Chenyu Yuan, Daniel Dajun Zeng

IEEE Intell. Syst., 2024

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

Yuxuan Song, Jingjing Gong, Yanru Qu, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma

CoRR, 2024

2023

A reinforcement learning-based multi-objective optimization in an interval and dynamic environment.

Yue Xu, Yuxuan Song, Dechang Pi, Yang Chen, Shuo Qin, Xiaoge Zhang, Shengxiang Yang

Knowl. Based Syst., November, 2023

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

Mengting Hu, Lingxiang Guo, Jing Liu, Yuxuan Song

Sensors, 2023

Equivariant Flow Matching with Hybrid Probability Transport.

Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma

CoRR, 2023

RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation.

Yiming Wang, Yuxuan Song, Minkai Xu, Rui Wang, Hao Zhou, Weiying Ma

CoRR, 2023

Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression.

Yuxuan Song, Yongyu Wang

CoRR, 2023

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

Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma

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.

Yilin Wu, Minjie Yuan, Yuxuan Song, Liping Chen, Chenyu Yuan, Qiudan Li

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

Accelerate Support Vector Clustering via Spectral Data Compression.

Yongyu Wang, Yuxuan Song

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point.

Yuxuan Song, Yongyu Wang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

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

Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan

Proceedings of the International Conference on Machine Learning, 2023

Camouflaged Object Detection with Feature Grafting and Distractor Aware.

Yuxuan Song, Xinyue Li, Lin Qi

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Delay-oriented risk network model for project risk response decisions.

Lei Wang, Yuxuan Song, Ronggui Ding, Mark Goh

Comput. Ind. Eng., 2022

2021

Follow Your Path: A Progressive Method for Knowledge Distillation.

Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li

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

2020

Deep geometric convolutional network for automatic modulation classification.

Rundong Li, Chengtian Song, Yuxuan Song, Xiaojun Hao, Shuyuan Yang, Xiyu Song

Signal Image Video Process., 2020

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

Yuxuan Song, Qiwei Ye, Minkai Xu, Tie-Yan Liu

CoRR, 2020

An Exploratory Study of the Promotion Effectiveness of Recommender Systems.

Kai-Hao Yang, Yuxuan Song, Chih-Yun Wu, Pu-Tai Yang, Chuan-Yu Wang

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.

Chuan-Yu Wang, Yuxuan Song, Chih-Yun Wu, Pu-Tai Yang

Proceedings of the IC4E 2020: The 11th International Conference on E-Education, 2020

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck.

Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu

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.

Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li

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.

Ning Miao, Yuxuan Song, Hao Zhou, Lei Li

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

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

Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu

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

2019

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs.

Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu

CoRR, 2019

Lipschitz Generative Adversarial Nets.

Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang

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

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

Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu

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.

Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu

CoRR, 2018

Activation Maximization Generative Adversarial Nets.

Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu

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

2017

Volume Ranking and Sequential Selection in Programmatic Display Advertising.

Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu

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