Yuxuan Song

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 45

Top Topics

Data Compression

Density Ratio Estimation

Support Vector Clustering

Top Venues

Publications

Bo Qiang, Wenxian Shi, Yuxuan Song, Menghua Wu
PROflow: An iterative refinement model for PROTAC-induced structure prediction. CoRR (2024)
Xinran Liu, Lin Qi, Yuxuan Song, Qi Wen
Depth awakens: A depth-perceptual attention fusion network for RGB-D camouflaged object detection. Image Vis. Comput. 143 (2024)
Liping Chen, Yilin Wu, Qiudan Li, Yuxuan Song, Chenyu Yuan, Daniel Dajun Zeng
Mining the User's Personality With an Attention-Based Label Prompt Method. IEEE Intell. Syst. 39 (2) (2024)
Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. CoRR (2024)
Minjie Yuan, Mengyu Xiang, Yuxuan Song, Qiudan Li, Jinye Fu, Daniel Dajun Zeng
A Heterogeneous Network fused with Context-aware Contrastive Learning for Sarcasm Topic-Target Pair Identification. WWW (Companion Volume) (2024)
Yuxuan Song, Jingjing Gong, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma
Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks. ICLR (2024)
Xinran Liu, Lin Qia, Yuxuan Song, Qi Wen
Depth Awakens: A Depth-perceptual Attention Fusion Network for RGB-D Camouflaged Object Detection. CoRR (2024)
Yuxuan Song, Jingjing Gong, Yanru Qu, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks. CoRR (2024)
Yuxuan Song, Yongyu Wang
Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point. ICONIP (4) (2023)
Yue Xu, Yuxuan Song, Dechang Pi, Yang Chen, Shuo Qin, Xiaoge Zhang, Shengxiang Yang
A reinforcement learning-based multi-objective optimization in an interval and dynamic environment. Knowl. Based Syst. 280 (2023)
Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. ICML (2023)
Yiming Wang, Yuxuan Song, Minkai Xu, Rui Wang, Hao Zhou, Weiying Ma
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation. CoRR (2023)
Yuxuan Song, Yongyu Wang
Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression? CoRR (2023)
Yuxuan Song, Yongyu Wang
Towards High-Performance Exploratory Data Analysis (EDA) Via Stable Equilibrium Point. CoRR (2023)
Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma
Equivariant Flow Matching with Hybrid Probability Transport. CoRR (2023)
Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation. NeurIPS (2023)
Yongyu Wang, Yuxuan Song
Accelerate Support Vector Clustering via Spectral Data Compression. ICONIP (7) (2023)
Yuxuan Song, Xinyue Li, Lin Qi
Camouflaged Object Detection with Feature Grafting and Distractor Aware. ICME (2023)
Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. CoRR (2023)
Yuxuan Song, Xinyue Li, Lin Qi
Camouflaged Object Detection with Feature Grafting and Distractor Aware. CoRR (2023)
Mengting Hu, Lingxiang Guo, Jing Liu, Yuxuan Song
Classification and Recognition of Building Appearance Based on Optimized Gradient-Boosted Decision Tree Algorithm. Sensors 23 (11) (2023)
Yilin Wu, Minjie Yuan, Yuxuan Song, Liping Chen, Chenyu Yuan, Qiudan Li
A Two-Stage Prompt Learning Method for Jointly Predicting Topic and Personality. ISI (2023)
Lei Wang, Yuxuan Song, Ronggui Ding, Mark Goh
Delay-oriented risk network model for project risk response decisions. Comput. Ind. Eng. 171 (2022)
Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li
Follow Your Path: A Progressive Method for Knowledge Distillation. ECML/PKDD (3) (2021)
Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li
Follow Your Path: a Progressive Method for Knowledge Distillation. CoRR (2021)
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. CoRR (2020)
Chuan-Yu Wang, Yuxuan Song, Chih-Yun Wu, Pu-Tai Yang
The Moderating Effect of Artificial Intelligence Phobia on the Relationship between Trust and Product Promotion Effectiveness: An Exploratory Study. IC4E (2020)
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. AAAI (2020)
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. ECAI (2020)
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. CoRR (2020)
Ning Miao, Yuxuan Song, Hao Zhou, Lei Li
Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. CoRR (2020)
Kai-Hao Yang, Yuxuan Song, Chih-Yun Wu, Pu-Tai Yang, Chuan-Yu Wang
An Exploratory Study of the Promotion Effectiveness of Recommender Systems. ICCMB (2020)
Yuxuan Song, Qiwei Ye, Minkai Xu, Tie-Yan Liu
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator. CoRR (2020)
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. AISTATS (2020)
Ning Miao, Yuxuan Song, Hao Zhou, Lei Li
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. ACL (2020)
Rundong Li, Chengtian Song, Yuxuan Song, Xiaojun Hao, Shuyuan Yang, Xiyu Song
Deep geometric convolutional network for automatic modulation classification. Signal Image Video Process. 14 (6) (2020)
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang
Lipschitz Generative Adversarial Nets. ICML (2019)
Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu
Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs. CoRR (2019)
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang
Lipschitz Generative Adversarial Nets. CoRR (2019)
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. CoRR (2019)
Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. AAAI (2019)
Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
Activation Maximization Generative Adversarial Nets. ICLR (Poster) (2018)
Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu
Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis. CoRR (2018)
Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu
Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. CoRR (2018)
Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu
Volume Ranking and Sequential Selection in Programmatic Display Advertising. CIKM (2017)