Unsupervised Learning for Combinatorial Optimization Needs Meta Learning. - Haoyu Peter Wang; Pan Li 005 (ICLR, 2023)

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee. - Haoyu Peter Wang; Jialin Liu 003; Xiaohan Chen; Xinshang Wang; Pan Li 005; Wotao Yin (Trans. Mach. Learn. Res., 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 005 (Trans. Mach. Learn. Res., 2024)

What Are Good Positional Encodings for Directed Graphs? - Yinan Huang; Haoyu Peter Wang; Pan Li 005 (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)

Towards A Universal Graph Structural Encoder. - Jialin Chen; Haolan Zuo; Haoyu Peter Wang; Siqi Miao 001; Pan Li 005; Rex Ying (CoRR, 2025)