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Mingda Li
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2020 – today
- 2023
- [i9]Ryotaro Okabe, Shangjie Xue, Jiankai Yu, Tongtong Liu, Benoit Forget, Stefanie Jegelka, Gordon Kohse, Lin-wen Hu, Mingda Li:
Tetris-inspired detector with neural network for radiation mapping. CoRR abs/2302.07099 (2023) - [i8]Jinglun Cai, Mingda Li, Ziyan Jiang, Eunah Cho, Zheng Chen, Yang Liu, Xing Fan, Chenlei Guo:
KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting. CoRR abs/2302.10454 (2023) - 2022
- [j12]Mingda Li, Zhengya Sun, Wensheng Zhang:
SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities. Neurocomputing 491: 186-196 (2022) - [j11]Jintong Shi, Mengxuan Sun, Zhengya Sun, Mingda Li, Yifan Gu, Wensheng Zhang:
Multi-level semantic fusion network for Chinese medical named entity recognition. J. Biomed. Informatics 133: 104144 (2022) - [j10]Longxuan Ma
, Mingda Li, Wei-Nan Zhang
, Jiapeng Li, Ting Liu:
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey. ACM Trans. Inf. Syst. 40(1): 9:1-9:44 (2022) - [c20]Mingda Li, Jin Wang, Guorui Xiao, Youfu Li, Carlo Zaniolo:
Demonstration of LogicLib: An Expressive Multi-Language Interface over Scalable Datalog System. CIKM 2022: 4917-4920 - [c19]Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. COLING 2022: 485-495 - [c18]Hongwei Chen, Sathya R. Chitturi, Rajan Plumley, Lingjia Shen, Nathan C. Drucker, Nicolas Burdet, Cheng Peng, Sougata Mardanya, Daniel Ratner, Aashwin Mishra, Chun Hong Yoon, Sanghoon Song, Matthieu Chollet, Gilberto Fabbris, Mike Dunne, Silke Nelson, Mingda Li, Aaron Lindenberg, Chunjing Jia, Youssef Nashed, Arun Bansil, Sugata Chowdhury, Adrian E. Feiguin, Joshua J. Turner, Jana Thayer:
Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities. XLOOP@SC 2022: 1-9 - [i7]Zijun Xue, Ruirui Li, Mingda Li:
Recent Progress in Conversational AI. CoRR abs/2204.09719 (2022) - [i6]Mingda Li, Jin Wang, Guorui Xiao, Youfu Li, Carlo Zaniolo:
Demonstration of LogicLib: An Expressive Multi-Language Interface over Scalable Datalog System. CoRR abs/2205.14857 (2022) - [i5]Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. CoRR abs/2208.08094 (2022) - 2021
- [j9]Carlo Zaniolo, Ariyam Das, Jiaqi Gu, Youfu Li, Mingda Li, Jin Wang:
Developing Big-Data Application as Queries: an Aggregate-Based approach. IEEE Data Eng. Bull. 44(2): 3-13 (2021) - [j8]Mingda Li, Zhengya Sun, Siheng Zhang, Wensheng Zhang:
Enhancing knowledge graph embedding with relational constraints. Neurocomputing 429: 77-88 (2021) - [j7]Jin Wang, Jiacheng Wu, Mingda Li, Jiaqi Gu, Ariyam Das, Carlo Zaniolo:
Formal semantics and high performance in declarative machine learning using Datalog. VLDB J. 30(5): 859-881 (2021) - [c17]Jiapeng Li, Mingda Li, Longxuan Ma, Weinan Zhang, Ting Liu:
Technical Report on Shared Task in DialDoc21. DialDoc@ACL-IJCNLP 2021: 52-56 - [c16]Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza, Chengwei Su:
ASR N-Best Fusion Nets. ICASSP 2021: 7618-7622 - [c15]Youfu Li, Jin Wang, Mingda Li, Ariyam Das, Jiaqi Gu, Carlo Zaniolo:
KDDLog: Performance and Scalability in Knowledge Discovery by Declarative Queries with Aggregates. ICDE 2021: 1260-1271 - 2020
- [b1]Mingda Li:
Efficient Latent Semantic Extraction from Cross Domain Data with Declarative Language. University of California, Los Angeles, USA, 2020 - [j6]Mingda Li, Hongzhi Wang, Jianzhong Li:
Mining conditional functional dependency rules on big data. Big Data Min. Anal. 3(1): 68-84 (2020) - [j5]Jin Wang
, Chunbin Lin
, Mingda Li, Carlo Zaniolo:
Boosting approximate dictionary-based entity extraction with synonyms. Inf. Sci. 530: 1-21 (2020) - [c14]Mingda Li, Weiting Gao, Yi Chen:
A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities. CIKM 2020: 765-774 - [c13]Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, Chengwei Su:
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention. COLING (Industry) 2020: 113-123 - [c12]Mingda Li, Zhengya Sun, Siheng Zhang, Wensheng Zhang:
Enhancing Knowledge Graph Embedding with Relational Constraints. ICKG 2020: 33-40 - [i4]Mingda Li, Weitong Ruan, Xinyue Liu, Luca Soldaini, Wael Hamza, Chengwei Su:
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses. CoRR abs/2001.05284 (2020) - [i3]Longxuan Ma, Wei-Nan Zhang, Mingda Li, Ting Liu:
A Survey of Document Grounded Dialogue Systems (DGDS). CoRR abs/2004.13818 (2020)
2010 – 2019
- 2019
- [j4]HaiLin Kui, Cuizhu Bao, Mingda Li, Xueshan Dou, Xiangyu Liu:
An improved Markov model for idle time prediction based on spatiotemporal learning. Clust. Comput. 22(Supplement): 7637-7647 (2019) - [c11]Xiang Li, Mingda Li, Alyosha C. Molnar, Debdeep Jena, Huili Grace Xing:
A Single-Device Embodiment of XNOR Logic: TransiXNOR. DRC 2019: 101-102 - [c10]Jin Wang, Chunbin Lin, Mingda Li, Carlo Zaniolo:
An Efficient Sliding Window Approach for Approximate Entity Extraction with Synonyms. EDBT 2019: 109-120 - [c9]Mingda Li, Jinhe Shi, Yi Chen:
Analyzing Patient Decision Making in Online Health Communities. ICHI 2019: 1-8 - [c8]Ariyam Das, Youfu Li, Jin Wang, Mingda Li, Carlo Zaniolo:
BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion. ICLP Technical Communications 2019: 273-279 - [i2]Carlo Zaniolo, Ariyam Das, Jiaqi Gu, Youfu Li, Mingda Li, Jin Wang:
Monotonic Properties of Completed Aggregates in Recursive Queries. CoRR abs/1910.08888 (2019) - 2018
- [j3]Mingda Li, Bo Zong, Cristian Lumezanu, Haifeng Chen:
Learning IP network representations. Comput. Commun. Rev. 48(5): 48-54 (2018) - [c7]Youfu Li, Mingda Li, Ling Ding
, Matteo Interlandi:
RIOS: Runtime Integrated Optimizer for Spark. SoCC 2018: 275-287 - [c6]Mingda Li, Cristian Lumezanu, Bo Zong, Haifeng Chen:
Deep Learning IP Network Representations. Big-DAMA@SIGCOMM 2018: 33-39 - [i1]Hongzhi Wang, Mingda Li, Jiawei Zhao, Jianzhong Li, Hong Gao:
Mining CFD Rules on Big Data. CoRR abs/1808.01621 (2018) - 2017
- [j2]Yi Shan, Mingda Li, Yi Chen:
Constructing target-aware results for keyword search on knowledge graphs. Data Knowl. Eng. 110: 1-23 (2017) - [c5]Muhammad Ali Gulzar, Matteo Interlandi, Xueyuan Han, Mingda Li, Tyson Condie, Miryung Kim:
Automated debugging in data-intensive scalable computing. SoCC 2017: 520-534 - [c4]Mingda Li, Qingxv Xiong, Long Yuan:
A Network Interconnection System and Framework Based on Semantic Communication. ICNCC 2017: 187-190 - 2015
- [j1]Hongzhi Wang, Mingda Li, Yingyi Bu, Jianzhong Li, Hong Gao, Jiacheng Zhang:
Cleanix: a Parallel Big Data Cleaning System. SIGMOD Rec. 44(4): 35-40 (2015) - 2014
- [c3]Hongzhi Wang
, Mingda Li, Yingyi Bu, Jianzhong Li, Hong Gao, Jiacheng Zhang:
Cleanix: A Big Data Cleaning Parfait. CIKM 2014: 2024-2026 - [c2]Mingda Li, Hongzhi Wang, Ye Li:
Sectional and Conditional Functional Dependencies. WASA 2014: 793-803 - 2011
- [c1]Jufeng Yang, Jing Xu, Mingda Li, Dingzhen Zhang, Congchao Wang:
A real-time command system based on hand gesture recognition. ICNC 2011: 1588-1592
Coauthor Index

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last updated on 2023-02-27 01:57 CET by the dblp team
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