Yingheng Wang

According to our database, Yingheng Wang authored at least 21 papers between 2020 and 2024.

Collaborative distances:

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

2024

Growing Like a Tree: Finding Trunks From Graph Skeleton Trees.

Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers.

Junjie Yin, Jiahao Dong, Yingheng Wang, Christopher De Sa, Volodymyr Kuleshov

Trans. Mach. Learn. Res., 2024

Machine learning-aided generative molecular design.

Yuanqi Du, Arian R. Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, Tom L. Blundell

Nat. Mac. Intell., 2024

GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation.

Brendan H. Rappazzo, Yingheng Wang, Aaron Ferber, Carla P. Gomes

CoRR, 2024

Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors.

Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov

CoRR, 2024

Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance.

Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph-Enhanced Emotion Neural Decoding.

Zhongyu Huang, Changde Du, Yingheng Wang, Kaicheng Fu, Huiguang He

IEEE Trans. Medical Imaging, 2023

Graph Data Augmentation for Graph Machine Learning: A Survey.

Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang

IEEE Data Eng. Bull., 2023

ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers.

Junjie Yin, Jiahao Dong, Yingheng Wang, Christopher De Sa, Volodymyr Kuleshov

CoRR, 2023

Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction.

Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla Gomes

CoRR, 2023

M²Hub: Unlocking the Potential of Machine Learning for Materials Discovery.

Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla Pedro Gomes

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models.

Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov

Proceedings of the International Conference on Machine Learning, 2023

Time Series Contrastive Learning with Information-Aware Augmentations.

Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Predicting the protein-ligand affinity from molecular dynamics trajectories.

Yaosen Min, Ye Wei, Peizhuo Wang, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Dan Zhao, Ji Wu, Jianyang Zeng

CoRR, 2022

Graph Emotion Decoding from Visually Evoked Neural Responses.

Zhongyu Huang, Changde Du, Yingheng Wang, Huiguang He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Going Deeper into Permutation-Sensitive Graph Neural Networks.

Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He

Proceedings of the International Conference on Machine Learning, 2022

2021

Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction.

Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu

Proceedings of the WWW '21: The Web Conference 2021, 2021

One-shot Transfer Learning for Population Mapping.

Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Molecular Graph Contrastive Learning with Parameterized Explainable Augmentations.

Yingheng Wang, Yaosen Min, Erzhuo Shao, Ji Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

MolCloze: A Unified Cloze-style Self-supervised Molecular Structure Learning Model for Chemical Property Prediction.

Yingheng Wang, Xin Chen, Yaosen Min, Ji Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Pipeline image haze removal system using dark channel prior on cloud processing platform.

Ce Li, Tan He, Yingheng Wang, Liguo Zhang, Ruili Liu, Jing Zheng

Int. J. Comput. Sci. Eng., 2020