Han Bao

26 papers A* 7Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Capability-Oriented Training Induced Alignment Risk.
CoRR
Yujun Zhou, Yue Huang, Han Bao, Kehan Guo, Zhenwen Liang, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang
2026 J jnl
Drift-Bench: Diagnosing Cooperative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction.
CoRR
Han Bao, Zheyuan Zhang, Pengcheng Jing, Zhengqing Yuan, Kaiwen Shi, Yanfang Ye
2026 J jnl
Position: General Alignment Has Hit a Ceiling; Edge Alignment Must Be Taken Seriously.
CoRR
Han Bao, Yue Huang, Xiaoda Wang, Zheyuan Zhang, Yujun Zhou, Carl Yang, Xiangliang Zhang, Yanfang Ye
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2024 J jnl
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?
CoRR
Han Bao, Yue Huang, Yanbo Wang, Jiayi Ye, Xiangqi Wang, Xiuying Chen, Mohamed Elhoseiny, Xiangliang Zhang
2024 J jnl
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration.
IEEE Trans. Knowl. Data Eng.
Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia
2024 A* conf
Referee-Meta-Learning for Fast Adaptation of Locational Fairness.
AAAI
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
2024 J jnl
Referee-Meta-Learning for Fast Adaptation of Locational Fairness.
CoRR
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
2023 A* conf
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics.
AAAI
Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun
2023 J jnl
Harnessing heterogeneity in space with statistically guided meta-learning.
Knowl. Inf. Syst.
Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2023 J jnl
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19.
Knowl. Inf. Syst.
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2023 J jnl
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
CoRR
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2022 J jnl
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features.
ACM Trans. Intell. Syst. Technol.
Han Bao, Xun Zhou, Yiqun Xie, Yingxue Zhang, Yanhua Li
2022 A* conf
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework.
AAAI
Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022 A* conf
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
ICDM
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2022 — conf
Sailing in the location-based fairness-bias sphere.
SIGSPATIAL/GIS
Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022 A* conf
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).
IJCAI
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2021 A* conf
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity.
ICDM
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2021 J jnl
Significant DBSCAN+: Statistically Robust Density-based Clustering.
ACM Trans. Intell. Syst. Technol.
Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou
2021 — conf
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets.
SIGSPATIAL/GIS
Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam
2020 — conf
COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks.
SIGSPATIAL/GIS
Han Bao, Xun Zhou, Yingxue Zhang, Yanhua Li, Yiqun Xie
2020 — conf
Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data.
SIGSPATIAL/GIS
Yichen Ding, Xun Zhou, Han Bao, Yanhua Li, Cara Hamann, Steven Spears, Zhuoning Yuan
2020 — conf
Discovering Spatial Mixture Patterns of Interest.
SIGSPATIAL/GIS
Yiqun Xie, Han Bao, Yan Li, Shashi Shekhar
2019 — conf
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification.
ISBI
Han Bao, Hui Ren, Zhiling Zhou, Xiang Li, Ning Guo, Quanzheng Li
2019 — conf
Novel Radiomic Features Based on Graph Theory for PET Image Analysis.
ISBI
Zhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li, Quanzheng Li
2018 A* conf
A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets.
ICDM
Yiqun Xie, Han Bao, Shashi Shekhar, Joseph F. Knight