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2020 – today
- 2024
[j6]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): 589-604 (2024)- [j5]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): 2838-2851 (2024) - [j4]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) - [c10]Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes:
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. AAAI 2024: 283-291 - [i11]Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov:
Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. CoRR abs/2401.02739 (2024) - [i10]Brendan H. Rappazzo, Yingheng Wang, Aaron Ferber, Carla P. Gomes:
GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation. CoRR abs/2409.15566 (2024) - 2023
- [j3]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): 140-165 (2023) - [j2]Zhongyu Huang, Changde Du, Yingheng Wang, Kaicheng Fu, Huiguang He:
Graph-Enhanced Emotion Neural Decoding. IEEE Trans. Medical Imaging 42(8): 2262-2273 (2023) - [c9]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: 4534-4542 - [c8]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: 36336-36354 - [c7]Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla Pedro Gomes:
M2Hub: Unlocking the Potential of Machine Learning for Materials Discovery. NeurIPS 2023 - [i9]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 abs/2302.01486 (2023) - [i8]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 abs/2303.11911 (2023) - [i7]Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov:
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. CoRR abs/2306.08757 (2023) - [i6]Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla P. Gomes:
M2Hub: Unlocking the Potential of Machine Learning for Materials Discovery. CoRR abs/2307.05378 (2023) - [i5]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 abs/2309.16119 (2023) - 2022
- [c6]Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He:
Going Deeper into Permutation-Sensitive Graph Neural Networks. ICML 2022: 9377-9409 - [c5]Zhongyu Huang, Changde Du, Yingheng Wang, Huiguang He:
Graph Emotion Decoding from Visually Evoked Neural Responses. MICCAI (8) 2022: 396-405 - [i4]Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He:
Going Deeper into Permutation-Sensitive Graph Neural Networks. CoRR abs/2205.14368 (2022) - [i3]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 abs/2208.10230 (2022) - 2021
- [c4]Yingheng Wang, Yaosen Min, Erzhuo Shao, Ji Wu:
Molecular Graph Contrastive Learning with Parameterized Explainable Augmentations. BIBM 2021: 1558-1563 - [c3]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: 2896-2903 - [c2]Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li:
One-shot Transfer Learning for Population Mapping. CIKM 2021: 1588-1597 - [c1]Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu:
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction. WWW 2021: 2921-2933 - [i2]Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li:
One-shot Transfer Learning for Population Mapping. CoRR abs/2108.06228 (2021) - 2020
- [j1]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): 84-95 (2020) - [i1]Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu:
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction. CoRR abs/2010.11711 (2020)
Coauthor Index
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