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Yuxuan Song
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2020 – today
- 2024
- [j6]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): 31-39 (2024) - [j5]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: 104924 (2024) - [c19]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 - [c18]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: 915-918 - [i20]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 abs/2403.15441 (2024) - [i19]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 abs/2404.12141 (2024) - [i18]Xinran Liu, Lin Qia, Yuxuan Song, Qi Wen:
Depth Awakens: A Depth-perceptual Attention Fusion Network for RGB-D Camouflaged Object Detection. CoRR abs/2405.05614 (2024) - [i17]Bo Qiang, Wenxian Shi, Yuxuan Song, Menghua Wu:
PROflow: An iterative refinement model for PROTAC-induced structure prediction. CoRR abs/2405.06654 (2024) - 2023
- [j4]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: 111019 (2023) - [j3]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): 5353 (2023) - [c17]Yuxuan Song, Xinyue Li, Lin Qi:
Camouflaged Object Detection with Feature Grafting and Distractor Aware. ICME 2023: 2459-2464 - [c16]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: 28277-28299 - [c15]Yongyu Wang
, Yuxuan Song
:
Accelerate Support Vector Clustering via Spectral Data Compression. ICONIP (7) 2023: 88-97 - [c14]Yuxuan Song
, Yongyu Wang
:
Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point. ICONIP (4) 2023: 483-492 - [c13]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: 1-3 - [c12]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 - [i16]Yuxuan Song, Yongyu Wang:
Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression. CoRR abs/2304.09868 (2023) - [i15]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 abs/2305.13266 (2023) - [i14]Yuxuan Song, Yongyu Wang:
Towards High-Performance Exploratory Data Analysis (EDA) Via Stable Equilibrium Point. CoRR abs/2306.04425 (2023) - [i13]Yuxuan Song, Xinyue Li, Lin Qi:
Camouflaged Object Detection with Feature Grafting and Distractor Aware. CoRR abs/2307.03943 (2023) - [i12]Yiming Wang, Yuxuan Song, Minkai Xu, Rui Wang, Hao Zhou, Weiying Ma:
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation. CoRR abs/2311.14077 (2023) - [i11]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 abs/2312.07168 (2023) - 2022
- [j2]Lei Wang
, Yuxuan Song, Ronggui Ding
, Mark Goh
:
Delay-oriented risk network model for project risk response decisions. Comput. Ind. Eng. 171: 108370 (2022) - 2021
- [c11]Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li
:
Follow Your Path: A Progressive Method for Knowledge Distillation. ECML/PKDD (3) 2021: 596-611 - [i10]Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li:
Follow Your Path: a Progressive Method for Knowledge Distillation. CoRR abs/2107.09305 (2021) - 2020
- [j1]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): 1199-1205 (2020) - [c10]Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu:
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. AAAI 2020: 5834-5841 - [c9]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: 3436-3441 - [c8]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: 122-132 - [c7]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: 1499-1506 - [c6]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: 356-359 - [c5]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: 135-140 - [i9]Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu:
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. CoRR abs/2004.01454 (2020) - [i8]Yuxuan Song, Qiwei Ye, Minkai Xu, Tie-Yan Liu:
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator. CoRR abs/2004.01704 (2020) - [i7]Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li:
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. CoRR abs/2007.06018 (2020) - [i6]Ning Miao, Yuxuan Song, Hao Zhou, Lei Li:
Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. CoRR abs/2007.06162 (2020)
2010 – 2019
- 2019
- [c4]Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. AAAI 2019: 4432-4439 - [c3]Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. ICML 2019: 7584-7593 - [i5]Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. CoRR abs/1902.05687 (2019) - [i4]Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu:
Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs. CoRR abs/1904.01184 (2019) - [i3]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 abs/1911.09310 (2019) - 2018
- [c2]Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu:
Activation Maximization Generative Adversarial Nets. ICLR (Poster) 2018 - [i2]Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu:
Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis. CoRR abs/1807.00751 (2018) - [i1]Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. CoRR abs/1811.06284 (2018) - 2017
- [c1]Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu:
Volume Ranking and Sequential Selection in Programmatic Display Advertising. CIKM 2017: 1099-1107
Coauthor Index
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last updated on 2024-08-05 21:22 CEST by the dblp team
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