Hinge-Wasserstein: Mitigating Overconfidence in Regression by Classification. - Ziliang Xiong; Abdelrahman Eldesokey; Joakim Johnander; Bastian Wandt; Per-Erik Forssén (CoRR, 2023)

Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks. - Ziliang Xiong; Arvi Jonnarth; Abdelrahman Eldesokey; Joakim Johnander; Bastian Wandt; Per-Erik Forssén (CVPR Workshops, 2024)

Exactly Solving Minimum Dominating Set and Its Generalization. - Ziliang Xiong; Mingyu Xiao 001 (IJCAI, 2024)

Finding small feedback arc sets on large graphs. - Ziliang Xiong; Yi Zhou 016; Mingyu Xiao 001; Bakhadyr Khoussainov (Comput. Oper. Res., 2024)

Detail-Enhancing Framework for Reference-Based Image Super-Resolution. - Zihan Wang; Ziliang Xiong; Hongying Tang; Xiaobing Yuan (CoRR, 2024)

Uncertainty quantification metrics for deep regression. - Simon Kristoffersson Lind; Ziliang Xiong; Per-Erik Forssén; Volker Krüger (Pattern Recognit. Lett., 2024)

Improved Approximation Algorithms for Clustered TSP and Subgroup Planning. - Jingyang Zhao 001; Mingyu Xiao 001; Junqiang Peng 001; Ziliang Xiong (AAAI, 2025)

Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation. - Shipeng Liu; Ziliang Xiong; Bastian Wandt; Per-Erik Forssén (SCIA (1), 2025)

A Simplified Parameterized Algorithm for Directed Feedback Vertex Set. - Ziliang Xiong; Mingyu Xiao 001 (SOSA, 2025)

CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving. - Ziliang Xiong; Shipeng Liu; Nathaniel Helgesen; Joakim Johnander; Per-Erik Forssén (CoRR, 2025)