Wang, Yingheng

12 publications

ICLR 2026 HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization 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

AAAI 2025 Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov

TMLR 2025 LC-PLM: Long-Context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala

ICLRW 2025 MatFusion: A Multi-Modal Framework Bridging LLMs and Structural Embeddings for Experimental Materials Property Prediction Yuwei Wan, Yuqi An, Dongzhan Zhou, Jiahao Dong, Chunyu Kit, Wenjie Zhang, Bram Hoex, Tong Xie, Yingheng Wang

AAAI 2024 Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes

ICMLW 2024 Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov

TMLR 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

ICML 2023 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov

NeurIPS 2023 M$^2$Hub: 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 Gregoire, Carla P. Gomes

AAAI 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

ICML 2022 Going Deeper into Permutation-Sensitive Graph Neural Networks Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He

NeurIPSW 2022 Xtal2DoS: Attention-Based Crystal to Sequence Learning for Density of States Prediction Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John Gregoire, Carla P Gomes