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Bin Han 0011
Person information
- affiliation: University of Washington, Seattle, WA, USA
Other persons with the same name
- Bin Han — disambiguation page
- Bin Han 0001 — Beijing University of Posts and Telecommunications, MoE, Key Laboratory of Universal Wireless Communications, China
- Bin Han 0002 — Concordia University, Montreal, Quebec, Canada
- Bin Han 0003
— University of Alberta, Department of Mathematical and Statistical Sciences, Edmonton, AB, Canada - Bin Han 0004
— University of Kaiserslautern, Department of Electrical and Computer Engineering, Germany (and 1 more) - Bin Han 0005
— Chinese Academy of Sciences, Shanghai Institutes for Biological Sciences, China - Bin Han 0006
— China Telecom Technology Innovation Center, Beijing, China - Bin Han 0007 — University of Maryland, College Park, MD, USA
- Bin Han 0008
— Royal Institute of Technology KTH, Stockholm, Sweden (and 2 more) - Bin Han 0009 — Hangzhou Dianzi University, College of Life Information Science and Instrument Engineering, Institute for Biomedical Engineering and Instrumentation, China (and 1 more)
- Bin Han 0010
— Huazhong University of Science and Technology, School of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Wuhan, China
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2020 – today
- 2025
[c7]Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe:
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs. ACL (Findings) 2025: 25655-25672
[c6]Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe:
Fragments to Facts: Partial-Information Fragment Inference from LLMs. ICML 2025
[c5]Bin Han
, Sean T. Yang
, Christopher LuVogt
:
Cross-Lingual Text Classification with Large Language Models. WWW (Companion Volume) 2025: 1005-1008
[i9]Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe:
Fragments to Facts: Partial-Information Fragment Inference from LLMs. CoRR abs/2505.13819 (2025)
[i8]Jihan Yao, Yushi Hu, Yujie Yi, Bin Han, Shangbin Feng, Guang Yang, Bingbing Wen, Ranjay Krishna, Lucy Lu Wang, Yulia Tsvetkov, Noah A. Smith, Banghua Zhu:
MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation. CoRR abs/2505.17613 (2025)
[i7]Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe:
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs. CoRR abs/2506.00582 (2025)
[i6]Bin Han, Robert Wolfe, Anat Caspi, Bill Howe:
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses. CoRR abs/2508.05009 (2025)- 2024
[c4]Robert Wolfe
, Isaac Slaughter
, Bin Han
, Bingbing Wen
, Yiwei Yang
, Lucas Rosenblatt
, Bernease Herman
, Eva Maxfield Brown
, Zening Qu
, Nic Weber
, Bill Howe
:
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. FAccT 2024: 1199-1210
[c3]Bin Han
, Bill Howe
:
SARN: Structurally-Aware Recurrent Network for Spatio-Temporal Disaggregation. SIGSPATIAL/GIS 2024: 338-349
[c2]Bin Han
, Yiwei Yang
, Anat Caspi
, Bill Howe
:
Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models. SIGSPATIAL/GIS 2024: 601-604
[c1]Bin Han, Bill Howe:
Geospatial Imputation of Urban Mobility Data with Self-Supervised Learning. HICSS 2024: 5619-5628
[i5]Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Brown, Zening Qu, Nic Weber, Bill Howe:
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. CoRR abs/2405.16820 (2024)
[i4]Bin Han, Yiwei Yang, Anat Caspi, Bill Howe:
Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models (Vision Paper). CoRR abs/2408.00932 (2024)- 2023
[i3]Bin Han, Bill Howe:
Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking. CoRR abs/2301.04233 (2023)
[i2]Bin Han, Bill Howe:
Urban Spatiotemporal Data Synthesis via Neural Disaggregation. CoRR abs/2306.07292 (2023)
[i1]Lucas Rosenblatt, Bin Han, Erin Posthumus, Theresa Crimmins, Bill Howe:
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology. CoRR abs/2310.00740 (2023)
Coauthor Index

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last updated on 2026-04-19 00:11 CEST by the dblp team
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