Yingheng Wang - RankMe

40 papers A* 9A 1C 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging. AAAI Shufeng Kong, Zijie Wang, Nuan Cui, Hao Tang, Yihan Meng, Yuanyuan Wei, Feifan Chen, Yingheng Wang, Zhuo Cai, Yaonan Wang, Yulong Zhang, Yuzheng Li, Zibin Zheng, Caihua Liu, Hao Liang
2026	A*	`conf`	Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem. AAAI Zhongdi Qu, Yingheng Wang, Utku Umur Acikalin, Aaron M. Ferber, Goncalo J. Gouveia, Brandon Bills, Guohui Li, Joshua Kline, Sunandini Yedla, Xiao Wang, Frank C. Schroeder, Carla P. Gomes
2025	A*	`conf`	Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. AAAI Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov
2025	J	`jnl`	Graffe: Graph Representation Learning via Diffusion Probabilistic Models. CoRR Dingshuo Chen, Shuchen Xue, Liuji Chen, Yingheng Wang, Qiang Liu, Shu Wu, Zhi-Ming Ma, Liang Wang
2025	J	`jnl`	HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization. CoRR Hongzheng Chen, Yingheng Wang, Yaohui Cai, Hins Hu, Jiajie Li, Shirley Huang, Chenhui Deng, Rongjian Liang, Shufeng Kong, Haoxing Ren, Samitha Samaranayake, Carla P. Gomes, Zhiru Zhang
2025	—	`conf`	Improving Multislice Electron Ptychography with a Generative Prior. ICCVW Christian K. Belardi, Chia-Hao Lee, Yingheng Wang, Justin Lovelace, Kilian Q. Weinberger, David A. Muller, Carla P. Gomes
2025	J	`jnl`	Improving Multislice Electron Ptychography with a Generative Prior. CoRR Christian K. Belardi, Chia-Hao Lee, Yingheng Wang, Justin Lovelace, Kilian Q. Weinberger, David A. Muller, Carla P. Gomes
2025	J	`jnl`	LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers. Trans. Mach. Learn. Res. Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala
2025	J	`jnl`	MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging. CoRR Shufeng Kong, Zijie Wang, Nuan Cui, Hao Tang, Yihan Meng, Yuanyuan Wei, Feifan Chen, Yingheng Wang, Zhuo Cai, Yaonan Wang, Yulong Zhang, Yuzheng Li, Zibin Zheng, Caihua Liu, Hao Liang
2025	J	`jnl`	MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine. CoRR Shufeng Kong, Xingru Yang, Yuanyuan Wei, Zijie Wang, Hao Tang, Jiuqi Qin, Shuting Lan, Yingheng Wang, Junwen Bai, Zhuangbin Chen, Zibin Zheng, Caihua Liu, Hao Liang
2025	J	`jnl`	Stabilizing Reinforcement Learning for Honesty Alignment in Language Models on Deductive Reasoning. CoRR Jiarui Liu, Kaustubh D. Dhole, Yingheng Wang, Haoyang Wen, Sarah Zhang, Haitao Mao, Gaotang Li, Neeraj Varshney, Jingguo Liu, Xiaoman Pan
2024	A*	`conf`	Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. AAAI Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes
2024	J	`jnl`	Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. CoRR Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov
2024	J	`jnl`	GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation. CoRR Brendan H. Rappazzo, Yingheng Wang, Aaron M. Ferber, Carla P. Gomes
2024	C	`conf`	GEM-RAG: Graphical Eigen Memories for Retrieval Augmented Generation. ICMLA Brendan Hogan Rappazzo, Yingheng Wang, Aaron M. Ferber, Carla Gomes
2024	J	`jnl`	Growing Like a Tree: Finding Trunks From Graph Skeleton Trees. IEEE Trans. Pattern Anal. Mach. Intell. Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
2024	J	`jnl`	Long-context Protein Language Model. CoRR Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala
2024	J	`jnl`	Machine learning-aided generative molecular design. Nat. Mac. Intell. Yuanqi Du, Arian R. Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, Tom L. Blundell
2024	J	`jnl`	ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers. Trans. Mach. Learn. Res. Junjie Yin, Jiahao Dong, Yingheng Wang, Christopher De Sa, Volodymyr Kuleshov
2023	J	`jnl`	Graph Data Augmentation for Graph Machine Learning: A Survey. IEEE Data Eng. Bull. Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang
2023	J	`jnl`	Graph-Enhanced Emotion Neural Decoding. IEEE Trans. Medical Imaging Zhongyu Huang, Changde Du, Yingheng Wang, Kaicheng Fu, Huiguang He
2023	A*	`conf`	InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. ICML Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
2023	J	`jnl`	InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. CoRR Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
2023	A*	`conf`	M NeurIPS Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla Pedro Gomes
2023	J	`jnl`	M CoRR Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla P. Gomes
2023	J	`jnl`	ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers. CoRR Junjie Yin, Jiahao Dong, Yingheng Wang, Christopher De Sa, Volodymyr Kuleshov
2023	A*	`conf`	Time Series Contrastive Learning with Information-Aware Augmentations. AAAI Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023	J	`jnl`	Time Series Contrastive Learning with Information-Aware Augmentations. CoRR Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023	J	`jnl`	Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction. CoRR Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla Gomes
2022	A*	`conf`	Going Deeper into Permutation-Sensitive Graph Neural Networks. ICML Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
2022	J	`jnl`	Going Deeper into Permutation-Sensitive Graph Neural Networks. CoRR Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
2022	—	`conf`	Graph Emotion Decoding from Visually Evoked Neural Responses. MICCAI (8) Zhongyu Huang, Changde Du, Yingheng Wang, Huiguang He
2022	J	`jnl`	Predicting the protein-ligand affinity from molecular dynamics trajectories. CoRR Yaosen Min, Ye Wei, Peizhuo Wang, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Dan Zhao, Ji Wu, Jianyang Zeng
2021	—	`conf`	MolCloze: A Unified Cloze-style Self-supervised Molecular Structure Learning Model for Chemical Property Prediction. BIBM Yingheng Wang, Xin Chen, Yaosen Min, Ji Wu
2021	—	`conf`	Molecular Graph Contrastive Learning with Parameterized Explainable Augmentations. BIBM Yingheng Wang, Yaosen Min, Erzhuo Shao, Ji Wu
2021	A*	`conf`	Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction. WWW Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu
2021	A	`conf`	One-shot Transfer Learning for Population Mapping. CIKM Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li
2021	J	`jnl`	One-shot Transfer Learning for Population Mapping. CoRR Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li
2020	J	`jnl`	Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction. CoRR Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu
2020	J	`jnl`	Pipeline image haze removal system using dark channel prior on cloud processing platform. Int. J. Comput. Sci. Eng. Ce Li, Tan He, Yingheng Wang, Liguo Zhang, Ruili Liu, Jing Zheng