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ORCIDMiao Li 0003
Person information
- affiliation (PhD 2016): Tsinghua University, Department of Electronic Engineering, Beijing, China
Other persons with the same name
- Miao Li — disambiguation page
- Miao Li 0001 — Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China
- Miao Li 0002
![[0000-0002-2244-2104]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2244-2104")
— Wuhan University, School of Power and Mechanical Engineering, Institute of Technological Sciences, Wuhan, China (and 1 more)
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2020 – today
- 2025
[j3]Jiaxi Wang, Yaosen Min, Miao Li, Ji Wu:
FragFormer: A Fragment-based Representation Learning Framework for Molecular Property Prediction. Trans. Mach. Learn. Res. 2025 (2025)- [c14]Jian Gao, Xiao Zhang, Miao Li, Ji Wu:
Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models. AAAI 2025: 23905-23913 - [i11]Xun Zhu, Zheng Zhang, Xi Chen, Yiming Shi, Miao Li, Ji Wu:
Connector-S: A Survey of Connectors in Multi-modal Large Language Models. CoRR abs/2502.11453 (2025) - [i10]Yiming Shi, Shaoshuai Yang, Xun Zhu, Haoyu Wang, Miao Li, Ji Wu:
MedM-VL: What Makes a Good Medical LVLM? CoRR abs/2504.04323 (2025) - [i9]Xun Zhu, Fanbin Mo, Zheng Zhang, Jiaxi Wang, Yiming Shi, Ming Wu, Chuang Zhang, Miao Li, Ji Wu:
Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data. CoRR abs/2504.09967 (2025) - 2024
- [j2]Yue Gao, Yuepeng Chen, Minghao Wang, Jinge Wu, Yunsoo Kim, Kaiyin Zhou, Miao Li, Xien Liu, Xiangling Fu, Ji Wu, Honghan Wu:
Optimising the paradigms of human AI collaborative clinical coding. npj Digit. Medicine 7(1) (2024) - [c13]Jingzhi Yang, Hua Shen, Ziyu Liu, Weilong Wu, Ji Wu, Ming Ni, Huishu Yuan, Xiangling Fu, Miao Li:
Slice-Level Label Attention with Global-Guided Attention Regularization for Multi-Label Classification in Knee MRI Sequences. IEEE Big Data 2024: 3942-3949 - [c12]Xiao Zhang, Miao Li, Ji Wu:
Conditional Language Learning with Context. ICML 2024 - [c11]Xiao Zhang, Miao Li, Ji Wu:
Co-occurrence is not Factual Association in Language Models. NeurIPS 2024 - [c10]Xun Zhu, Ying Hu, Fanbin Mo, Miao Li, Ji Wu:
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE. NeurIPS 2024 - [i8]Junlong Jia, Ying Hu, Xi Weng, Yiming Shi, Miao Li, Xingjian Zhang, Baichuan Zhou, Ziyu Liu, Jie Luo, Lei Huang, Ji Wu:
TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models. CoRR abs/2405.11788 (2024) - [i7]Xiao Zhang, Miao Li, Ji Wu:
Conditional Language Learning with Context. CoRR abs/2406.01976 (2024) - [i6]Xiao Zhang, Miao Li, Ji Wu:
Co-occurrence is not Factual Association in Language Models. CoRR abs/2409.14057 (2024) - [i5]Xun Zhu, Ying Hu, Fanbin Mo, Miao Li, Ji Wu:
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE. CoRR abs/2409.17508 (2024) - [i4]Jian Gao, Xiao Zhang, Ji Wu, Miao Li:
Enhancing elusive clues in knowledge learning by contrasting attention of language models. CoRR abs/2409.17954 (2024) - [i3]Yiming Shi, Xun Zhu, Ying Hu, Chenyi Guo, Miao Li, Ji Wu:
Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model. CoRR abs/2411.12783 (2024) - 2023
- [c9]Weilong Wu, Miao Li, Ji Wu, Ming Ni, Huishu Yuan:
Learning to Generate Radiology Findings from Impressions Based on Large Language Model. IEEE Big Data 2023: 2550-2554 - [c8]Yuxuan Zhou, Ziyu Jin, Meiwei Li, Miao Li, Xien Liu, Xinxin You, Ji Wu:
THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval. SemEval@ACL 2023: 1681-1690 - [i2]Yuxuan Zhou, Ziyu Jin, Meiwei Li, Miao Li, Xien Liu, Xinxin You, Ji Wu:
THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval. CoRR abs/2306.01245 (2023)
2010 – 2019
- 2018
- [c7]Minglu Liu, Miao Li, Ji Wu, Xiangling Fu, Ji Gao:
Using Dempster-Shafer Evidence Theory for Dialog State Tracking. ISCSLP 2018: 285-289 - 2016
- [c6]Miao Li, Zhipeng Chen, Ji Wu:
Improving the Probabilistic Framework for Representing Dialogue Systems with User Response Model. INTERSPEECH 2016: 2701-2705 - [c5]Miao Li, Zhiyang He, Ji Wu:
Target-Based State and Tracking Algorithm for Spoken Dialogue System. INTERSPEECH 2016: 2711-2715 - [c4]Miao Li, Ji Wu:
The MSIIP System for Dialog State Tracking Challenge 4. IWSDS 2016: 465-474 - [c3]Ying Su, Miao Li, Ji Wu:
The MSIIP system for dialog state tracking challenge 5. SLT 2016: 525-530 - 2015
- [j1]Ji Wu, Miao Li, Chin-Hui Lee:
A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management Through Dynamic Stochastic State Evolution. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 2026-2035 (2015) - [c2]Ji Wu, Miao Li, Chin-Hui Lee:
An entropy minimization framework for goal-driven dialogue management. INTERSPEECH 2015: 2027-2031 - [i1]Ji Wu, Miao Li, Chin-Hui Lee:
A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution. CoRR abs/1504.07182 (2015) - 2014
- [c1]Miao Li, Hongyi Ding, Ji Wu:
Global discriminative model for dependency parsing in NLP pipeline. ISCSLP 2014: 614-618
Coauthor Index
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