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Li-Ming Zhan
Observed names:
Li-ming Zhan,
Liming Zhan,
Zhan, Li-Ming,
Zhan, Liming
Institutions:
Hong Kong Polytechnic University,
Ningbo University of Technology
Observed institutions:
Hong Kong Polytechnic University,
Sun Yat-sen University,
Ningbo University of Technology,
UNSW Sydney,
University of California San Diego,
Fano Labs (China),
East China Normal University
show all 7
ORCID:
0000-0001-7173-1116
Observed ORCID:
0000-0001-7173-1116
OpenAlex ID:
A5001643829
Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering
2021
·
Bo Liu
, Li-Ming Zhan
, et al.
·
IEEE International Symposium on Biomedical Imaging (ISBI)
·
451
PDF
Medical Visual Question Answering via Conditional Reasoning
2020
·
Li-Ming Zhan
, Bo Liu
, et al.
·
ACM International Conference on Multimedia (ACM MM)
·
166
Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images
2021
·
Bo Liu
, Li-Ming Zhan
, et al.
·
Lecture notes in computer science
·
120
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
2021
·
Shi, Guangyuan
, Chen, Jiaxin
, et al.
·
arXiv (Cornell University)
·
92
PDF
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
2021
·
Li-Ming Zhan
, Haowen Liang
, et al.
·
68
PDF
Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning
2022
·
Bo Liu
, Li-Ming Zhan
, et al.
·
IEEE Transactions on Medical Imaging
·
63
New Intent Discovery with Pre-training and Contrastive Learning
2022
·
Yuwei Zhang
, Haode Zhang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
62
PDF
Towards LLM-driven Dialogue State Tracking
2023
·
Yujie Feng
, Zexin Lu
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
56
PDF
Effectiveness of Pre-training for Few-shot Intent Classification
2021
·
Haode Zhang
, Yuwei Zhang
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
49
PDF
Variational Metric Scaling for Metric-Based Meta-Learning
2020
·
Jiaxin Chen
, Li-ming Zhan
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
45
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-Ray Diagnosis
2025
·
Bo Liu
, Ke Zou
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
34
PDF
How Good Are LLMs at Out-of-Distribution Detection?
2024
·
Bo Liu
, Li-Ming Zhan
, et al.
·
Language Resources and Evaluation Conference (LREC)
·
28
PDF
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
2022
·
Haode Zhang
, Haowen Liang
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
24
PDF
Identifying Top k Dominating Objects over Uncertain Data
2014
·
Liming Zhan
, Ying Zhang
, et al.
·
Lecture notes in computer science
·
22
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
2023
·
Haode Zhang
, Haowen Liang
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
·
15
PDF
Finding top k most influential spatial facilities over uncertain objects
2012
·
Liming Zhan
, Ying Zhang
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
14
GeoEdit: Geometric Knowledge Editing for Large Language Models
2025
·
Feng, Yujie
, Zhan, Liming
, et al.
·
arXiv (Cornell University)
·
7
PDF
Range Search on Uncertain Trajectories
2015
·
Liming Zhan
, Ying Zhang
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
7
Efficient top-k similarity join processing over multi-valued objects
2013
·
Wenjie Zhang
, Liming Zhan
, et al.
·
World Wide Web
·
7
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
2022
·
Zhang, Haode
, Liang, Haowen
, et al.
·
arXiv (Cornell University)
·
6
PDF
Personal Process Description Graph for Describing and Querying Personal Processes
2015
·
Jing Xu
, Hye-young Paik
, et al.
·
Lecture notes in computer science
·
6
Aggregated Search over Personal Process Description Graph
2016
·
Jing Ouyang Hsu
, Hye-young Paik
, et al.
·
Lecture notes in computer science
·
5
Finding Top $k$ Most Influential Spatial Facilities over Uncertain Objects
2015
·
Liming Zhan
, Ying Zhang
, et al.
·
IEEE Transactions on Knowledge and Data Engineering
·
5
Similarity Search over Personal Process Description Graph
2015
·
Jing Ouyang Hsu
, Hye-young Paik
, et al.
·
Lecture notes in computer science
·
4
VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection
2024
·
Li-Ming Zhan
, Bo Liu
, et al.
·
Language Resources and Evaluation Conference (LREC)
·
3
PDF
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Works count:
29
Citation count:
1,364
H-index:
15
I10-index:
16
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