Wang, Haoyu Peter

9 publications

ICML 2025 Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models Haoyu Peter Wang, Shikun Liu, Rongzhe Wei, Pan Li

NeurIPS 2025 Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models Haoyu Peter Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li

ICLR 2025 Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics Sebastian Sanokowski, Wilhelm Franz Berghammer, Haoyu Peter Wang, Martin Ennemoser, Sepp Hochreiter, Sebastian Lehner

ICLR 2025 What Are Good Positional Encodings for Directed Graphs? Yinan Huang, Haoyu Peter Wang, Pan Li

TMLR 2024 DIG-MILP: A Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee Haoyu Peter Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin

ICLRW 2024 Langevin Unlearning Eli Chien, Haoyu Peter Wang, Ziang Chen, Pan Li

TMLR 2024 On the Inherent Privacy Properties of Discrete Denoising Diffusion Models Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li

ICLR 2023 Unsupervised Learning for Combinatorial Optimization Needs Meta Learning Haoyu Peter Wang, Pan Li

NeurIPS 2022 Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation Haoyu Peter Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li