publications

Also in Google Scholar profile.

2026

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    Making LLMs Truly Forget: Deep Unlearning by Searching, Selecting, and Severing Knowledge Paths
    Jialu Wang, Peizhi Niu, Haoteng Yin, Hans Hao-Hsun Hsu, Pan Li, and Rongzhe Wei
    In Preprint , 2026
    Paper
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    Variational Streaming Flow: Probabilistic Forecasting in Physical Time
    Hans Hao-Hsun Hsu, Minseon Gwak, Soon Hoe Lim, Pan Li, and N Benjamin Erichson
    In Preprint , 2026
    Paper Code
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    What Must a World Model Distinguish for Planning?
    Rongzhe Wei, Hans Hao-Hsun Hsu, Peizhi Niu, Yifan Li, and Pan Li
    In Preprint , 2026
    Paper
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    LyapuFlow: Controlling Generative Flows with Lyapunov Feedback for Inverse Problems
    Minseon Gwak, Hans Hao-Hsun Hsu, Danielle C Maddix, and N Benjamin Erichson
    In Preprint , 2026
    Paper Website
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    Accelerated Sequential Flow Matching: A Bayesian Filtering Perspective
    Yinan Huang, Hans Hao-Hsun Hsu, Junran Wang, Bo Dai, and Pan Li
    In ICLR 2026 ReALM–GEN (Spotlight) , 2026
    Paper Code
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    Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis
    Siqi Miao, Ziyang Chen, Yuhong Luo, Hans Hao-Hsun Hsu, Mufei Li, Kaiqing Zhang, and Pan Li
    In Preprint , 2026
    Paper
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    Structural Alignment Improves Graph Test-Time Adaptation
    Hans Hao-Hsun Hsu, Shikun Liu, Han Zhao, and Pan Li
    In International Conference on Artificial Intelligence and Statistics (AISTATS) , 2026
    Paper Code

2025

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    Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
    Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, and Pan Li
    In Neural Information Processing Systems (NeurIPS) , 2025
    Paper Code

2022

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    What Makes Graph Neural Networks Miscalibrated?
    Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, and Daniel Cremers
    In Neural Information Processing Systems (NeurIPS) , 2022
    Paper Code
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    A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs
    Hans Hao-Hsun Hsu, Yuesong Shen, and Daniel Cremers
    In NeurIPS GLFrontiers , 2022
    Paper Code

2021

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    Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection
    Hans Hao-Hsun Hsu, Jiawen Xu, Ravi Sama, and Matthias Kovatsch
    In International Conference on Machine Learning and Applications (ICMLA) , 2021
    Paper

2018

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    Development of a Dung Beetle Robot and Investigation of Its Dung-Rolling Behavior
    Jen-Wei Wang, Yu-Sheng Chiang, Jhih Chen, and Hao-Hsun Hsu
    Inventions, 2018
    Paper

2017

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    Design and implementation of a dung beetle robot
    Jhih Chen, Jen-Wei Wang, Hao-Hsun Hsu, Yu-Sheng Chiang, and Pei-Chun Lin
    In International Conference on Advanced Robotics and Intelligent Systems (ARIS) , 2017
    Paper