Yuxuan Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
13
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGGRAPH | Mobile3DGS | Fan Gao, Yibo Zhao, Changhao Song, Jiarui Wen, Yuxuan Song, Youcheng Cai, Ligang Liu |
| 2025 | AAAI | Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data. | Yuxuan Song, Qiudan Li, Yilin Wu, David Jingjun Xu, Daniel Dajun Zeng |
| 2025 | AISTATS | f-PO: Generalizing Preference Optimization with f-divergence Minimization. | Jiaqi Han, Mingjian Jiang, Yuxuan Song, Stefano Ermon, Minkai Xu |
| 2025 | AISTATS | RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation. | Yiming Wang, Yuxuan Song, Yiqun Wang, Minkai Xu, Rui Wang, Hao Zhou, Wei-Ying Ma |
| 2025 | ICLR | Steering Protein Family Design through Profile Bayesian Flow. | Jingjing Gong, Yu Pei, Siyu Long, Yuxuan Song, Zhe Zhang, Wenhao Huang, Ziyao Cao, Shuyi Zhang, Hao Zhou, Wei-Ying Ma |
| 2025 | ICLR | A Periodic Bayesian Flow for Material Generation. | Hanlin Wu, Yuxuan Song, Jingjing Gong, Ziyao Cao, Yawen Ouyang, Jianbing Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu |
| 2025 | ICML | Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule. | Keyue Qiu, Yuxuan Song, Zhehuan Fan, Peidong Liu, Zhe Zhang, Mingyue Zheng, Hao Zhou, Wei-Ying Ma |
| 2025 | ICML | Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks. | Keyue Qiu, Yuxuan Song, Jie Yu, Hongbo Ma, Ziyao Cao, Zhilong Zhang, Yushuai Wu, Mingyue Zheng, Hao Zhou, Wei-Ying Ma |
| 2025 | ICML | Smooth Interpolation for Improved Discrete Graph Generative Models. | Yuxuan Song, Juntong Shi, Jingjing Gong, Minkai Xu, Stefano Ermon, Hao Zhou, Wei-Ying Ma |
| 2025 | ISCC | AuRA: Remote Attestation over EDHOC for Constrained Internet-of-Things Use Cases. | Yuxuan Song, Geovane Fedrecheski, Malisa Vucinic, Thomas Watteyne |
| 2025 | WWW | A Self-Supervised Adaptive Tuning Approach for Out-of-Distribution Social Media Bot Detection. | Yuxuan Song, Qiudan Li, Shu Wu, Zheng Xie, Daniel Dajun Zeng |
| 2025 | WWW | Dynamic Detection of Sarcasm Topic-Target Pairs via LLM-Based Knowledge Alignment. | Mengyu Xiang, Yuxuan Song, Qiudan Li, Shu Wu, Daniel Dajun Zeng |
| 2024 | EuroPar | Accelerating GCN Inference on Small Graphs. | Hanwen Dai, Changbo Chen, Yuxuan Song |
| 2024 | ICLR | Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks. | Yuxuan Song, Jingjing Gong, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma |
| 2024 | ICML | MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. | Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma |
| 2024 | WWW | A Heterogeneous Network fused with Context-aware Contrastive Learning for Sarcasm Topic-Target Pair Identification. | Minjie Yuan, Mengyu Xiang, Yuxuan Song, Qiudan Li, Jinye Fu, Daniel Dajun Zeng |
| 2023 | ICML | 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 |
| 2023 | ICONIP | Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point. | Yuxuan Song, Yongyu Wang |
| 2023 | ICONIP | Accelerate Support Vector Clustering via Spectral Data Compression. | Yongyu Wang, Yuxuan Song |
| 2023 | ISI | A Two-Stage Prompt Learning Method for Jointly Predicting Topic and Personality. | Yilin Wu, Minjie Yuan, Yuxuan Song, Liping Chen, Chenyu Yuan, Qiudan Li |
| 2020 | AAAI | Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. | Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu |
| 2020 | ACL | Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. | Ning Miao, Yuxuan Song, Hao Zhou, Lei Li |
| 2020 | AISTATS | Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. | Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li |
| 2020 | ECAI | Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. | Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu |
| 2019 | AAAI | Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. | Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu |
| 2019 | ICML | Lipschitz Generative Adversarial Nets. | Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang |
| 2018 | ICLR | Activation Maximization Generative Adversarial Nets. | Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu |
| 2017 | CIKM | Volume Ranking and Sequential Selection in Programmatic Display Advertising. | Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu |