Yingheng Wang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Machine Learning

Diffusion Model

Top Venues

Publications

Junjie Yin, Jiahao Dong, Yingheng Wang, Christopher De Sa, Volodymyr Kuleshov
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers. Trans. Mach. Learn. Res. 2024 (2024)
Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. AAAI (2024)
Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov
Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. CoRR (2024)
Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
Growing Like a Tree: Finding Trunks From Graph Skeleton Trees. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Yuanqi Du, Arian R. Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, Tom L. Blundell
Machine learning-aided generative molecular design. Nat. Mac. Intell. 6 (6) (2024)
Zhongyu Huang, Changde Du, Yingheng Wang, Kaicheng Fu, Huiguang He
Graph-Enhanced Emotion Neural Decoding. IEEE Trans. Medical Imaging 42 (8) (2023)
Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla P. Gomes
Hub: Unlocking the Potential of Machine Learning for Materials Discovery. CoRR (2023)
Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla Gomes
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction. CoRR (2023)
Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. ICML (2023)
Junjie Yin, Jiahao Dong, Yingheng Wang, Christopher De Sa, Volodymyr Kuleshov
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers. CoRR (2023)
Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. CoRR (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. CoRR (2023)
Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla Pedro Gomes
Hub: Unlocking the Potential of Machine Learning for Materials Discovery. NeurIPS (2023)
Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang
Graph Data Augmentation for Graph Machine Learning: A Survey. IEEE Data Eng. Bull. 46 (2) (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. AAAI (2023)
Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
Going Deeper into Permutation-Sensitive Graph Neural Networks. CoRR (2022)
Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
Going Deeper into Permutation-Sensitive Graph Neural Networks. ICML (2022)
Yaosen Min, Ye Wei, Peizhuo Wang, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Dan Zhao, Ji Wu, Jianyang Zeng
Predicting the protein-ligand affinity from molecular dynamics trajectories. CoRR (2022)
Zhongyu Huang, Changde Du, Yingheng Wang, Huiguang He
Graph Emotion Decoding from Visually Evoked Neural Responses. MICCAI (8) (2022)
Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li
One-shot Transfer Learning for Population Mapping. CoRR (2021)
Yingheng Wang, Xin Chen, Yaosen Min, Ji Wu
MolCloze: A Unified Cloze-style Self-supervised Molecular Structure Learning Model for Chemical Property Prediction. BIBM (2021)
Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction. WWW (2021)
Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li
One-shot Transfer Learning for Population Mapping. CIKM (2021)
Yingheng Wang, Yaosen Min, Erzhuo Shao, Ji Wu
Molecular Graph Contrastive Learning with Parameterized Explainable Augmentations. BIBM (2021)
Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction. CoRR (2020)
Ce Li, Tan He, Yingheng Wang, Liguo Zhang, Ruili Liu, Jing Zheng
Pipeline image haze removal system using dark channel prior on cloud processing platform. Int. J. Comput. Sci. Eng. 22 (1) (2020)