Mingda Li

According to our database, Mingda Li authored at least 59 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Virtual node graph neural network for full phonon prediction.

Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird, Nina Andrejevic, Xiang Fu, Tommi S. Jaakkola, Qichen Song, Thanh Nguyen, Nathan C. Drucker, Sai Mu, Yao Wang, Bolin Liao, Yongqiang Cheng, Mingda Li

Nat. Comput. Sci., July, 2024

Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue.

Longxuan Ma, Jiapeng Li, Mingda Li, Weinan Zhang, Ting Liu

ACM Trans. Inf. Syst., March, 2024

INSPIRED: Inelastic neutron scattering prediction for instantaneous results and experimental design.

Bowen Han, Andrei T. Savici, Mingda Li, Yongqiang Cheng

Comput. Phys. Commun., 2024

Large Language Model-Guided Prediction Toward Quantum Materials Synthesis.

Ryotaro Okabe, Zack West, Abhijatmedhi Chotrattanapituk, Mouyang Cheng, Denisse Córdova Carrizales, Weiwei Xie, Robert J. Cava, Mingda Li

CoRR, 2024

CRUcialG: Reconstruct Integrated Attack Scenario Graphs by Cyber Threat Intelligence Reports.

Wenrui Cheng, Tiantian Zhu, Tieming Chen, Qixuan Yuan, Jie Ying, Hongmei Li, Chunlin Xiong, Mingda Li, Mingqi Lv, Yan Chen

CoRR, 2024

TRACE: Temporal Grounding Video LLM via Causal Event Modeling.

Yongxin Guo, Jingyu Liu, Mingda Li, Xiaoying Tang, Qingbin Liu, Xi Chen

CoRR, 2024

PclGPT: A Large Language Model for Patronizing and Condescending Language Detection.

Hongbo Wang, Mingda Li, Junyu Lu, Hebin Xia, Liang Yang, Bo Xu, Ruizhu Liu, Hongfei Lin

CoRR, 2024

Enhancing Long Video Understanding via Hierarchical Event-Based Memory.

Dingxin Cheng, Mingda Li, Jingyu Liu, Yongxin Guo, Bin Jiang, Qingbin Liu, Xi Chen, Bo Zhao

CoRR, 2024

TC-LLaVA: Rethinking the Transfer from Image to Video Understanding with Temporal Considerations.

Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Bo Zhao, Xi Chen, Hui Xiong

CoRR, 2024

Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer.

Mingda Li, Abhijit Mishra, Utkarsh Mujumdar

CoRR, 2024

Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates.

Ryotaro Okabe, Mouyang Cheng, Abhijatmedhi Chotrattanapituk, Nguyen Tuan Hung, Xiang Fu, Bowen Han, Yao Wang, Weiwei Xie, Robert J. Cava, Tommi S. Jaakkola, Yongqiang Cheng, Mingda Li

CoRR, 2024

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding.

Yongxin Guo, Jingyu Liu, Mingda Li, Xiaoying Tang, Xi Chen, Bo Zhao

CoRR, 2024

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models.

Mingda Li, Xinyu Li, Yifan Chen, Wenfeng Xuan, Weinan Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

SentinelLMs: Encrypted Input Adaptation and Fine-Tuning of Language Models for Private and Secure Inference.

Abhijit Mishra, Mingda Li, Soham Deo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Leveraging semantic property for temporal knowledge graph completion.

Mingda Li, Zhengya Sun, Wensheng Zhang, Wei Liu

Appl. Intell., April, 2023

Direct prediction of inelastic neutron scattering spectra from the crystal structure.

Yongqiang Cheng, Geoffrey Wu, Daniel M. Pajerowski, Matthew B. Stone, Andrei T. Savici, Mingda Li, Anibal Ramirez-Cuesta

Mach. Learn. Sci. Technol., March, 2023

Through the Lens of Core Competency: Survey on Evaluation of Large Language Models.

Ziyu Zhuang, Qiguang Chen, Longxuan Ma, Mingda Li, Yi Han, Yushan Qian, Haopeng Bai, Zixian Feng, Weinan Zhang, Ting Liu

CoRR, 2023

Tetris-inspired detector with neural network for radiation mapping.

Ryotaro Okabe, Shangjie Xue, Jiankai Yu, Tongtong Liu, Benoit Forget, Stefanie Jegelka, Gordon Kohse, Lin-wen Hu, Mingda Li

CoRR, 2023

CCPC: A Hierarchical Chinese Corpus for Patronizing and Condescending Language Detection.

Hongbo Wang, Mingda Li, Junyu Lu, Liang Yang, Hebin Xia, Hongfei Lin

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Performance Analysis of Different Intensity Modulation Techniques over Weak Turbulence Channel.

Dongya Xiao, Mingda Li, Zheng Xu

Proceedings of the 8th International Conference on Cyber Security and Information Engineering, 2023

KG-ECO: Knowledge Graph Enhanced Entity Correction For Query Rewriting.

Jinglun Cai, Mingda Li, Ziyan Jiang, Eunah Cho, Zheng Chen, Yang Liu, Xing Fan, Chenlei Guo

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey.

Longxuan Ma, Mingda Li, Wei-Nan Zhang, Jiapeng Li, Ting Liu

ACM Trans. Inf. Syst., 2022

Multi-level semantic fusion network for Chinese medical named entity recognition.

Jintong Shi, Mengxuan Sun, Zhengya Sun, Mingda Li, Yifan Gu, Wensheng Zhang

J. Biomed. Informatics, 2022

SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities.

Mingda Li, Zhengya Sun, Wensheng Zhang

Neurocomputing, 2022

Recent Progress in Conversational AI.

Zijun Xue, Ruirui Li, Mingda Li

CoRR, 2022

Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities.

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

Proceedings of the 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2022

SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation.

Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Demonstration of LogicLib: An Expressive Multi-Language Interface over Scalable Datalog System.

Mingda Li, Jin Wang, Guorui Xiao, Youfu Li, Carlo Zaniolo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Formal semantics and high performance in declarative machine learning using Datalog.

Jin Wang, Jiacheng Wu, Mingda Li, Jiaqi Gu, Ariyam Das, Carlo Zaniolo

VLDB J., 2021

Enhancing knowledge graph embedding with relational constraints.

Mingda Li, Zhengya Sun, Siheng Zhang, Wensheng Zhang

Neurocomputing, 2021

Developing Big-Data Application as Queries: an Aggregate-Based approach.

Carlo Zaniolo, Ariyam Das, Jiaqi Gu, Youfu Li, Mingda Li, Jin Wang

IEEE Data Eng. Bull., 2021

KDDLog: Performance and Scalability in Knowledge Discovery by Declarative Queries with Aggregates.

Youfu Li, Jin Wang, Mingda Li, Ariyam Das, Jiaqi Gu, Carlo Zaniolo

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

ASR N-Best Fusion Nets.

Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza, Chengwei Su

Proceedings of the IEEE International Conference on Acoustics, 2021

Technical Report on Shared Task in DialDoc21.

Jiapeng Li, Mingda Li, Longxuan Ma, Weinan Zhang, Ting Liu

Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021

2020

Efficient Latent Semantic Extraction from Cross Domain Data with Declarative Language.

Mingda Li

PhD thesis, 2020

Boosting approximate dictionary-based entity extraction with synonyms.

Jin Wang, Chunbin Lin, Mingda Li, Carlo Zaniolo

Inf. Sci., 2020

A Survey of Document Grounded Dialogue Systems (DGDS).

Longxuan Ma, Wei-Nan Zhang, Mingda Li, Ting Liu

CoRR, 2020

Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses.

Mingda Li, Weitong Ruan, Xinyue Liu, Luca Soldaini, Wael Hamza, Chengwei Su

CoRR, 2020

Mining conditional functional dependency rules on big data.

Mingda Li, Hongzhi Wang, Jianzhong Li

Big Data Min. Anal., 2020

skeleton-based Action recognition with a triple-stream graph convolutional network.

Mingda Li, Chunyan Yu, Xiu Wang

Proceedings of the EITCE 2020: 4th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, 6 November, 2020, 2020

Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention.

Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, Chengwei Su

Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities.

Mingda Li, Weiting Gao, Yi Chen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Monotonic Properties of Completed Aggregates in Recursive Queries.

Carlo Zaniolo, Ariyam Das, Jiaqi Gu, Youfu Li, Mingda Li, Jin Wang

CoRR, 2019

BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion.

Ariyam Das, Youfu Li, Jin Wang, Mingda Li, Carlo Zaniolo

Proceedings of the Proceedings 35th International Conference on Logic Programming (Technical Communications), 2019

An improved Markov model for idle time prediction based on spatiotemporal learning.

HaiLin Kui, Cuizhu Bao, Mingda Li, Xueshan Dou, Xiangyu Liu

Clust. Comput., 2019

Analyzing Patient Decision Making in Online Health Communities.

Mingda Li, Jinhe Shi, Yi Chen

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

An Efficient Sliding Window Approach for Approximate Entity Extraction with Synonyms.

Jin Wang, Chunbin Lin, Mingda Li, Carlo Zaniolo

Proceedings of the Advances in Database Technology, 2019

A Single-Device Embodiment of XNOR Logic: TransiXNOR.

Xiang Li, Mingda Li, Alyosha C. Molnar, Debdeep Jena, Huili Grace Xing

Proceedings of the Device Research Conference, 2019

2018

Mining CFD Rules on Big Data.

Hongzhi Wang, Mingda Li, Jiawei Zhao, Jianzhong Li, Hong Gao

CoRR, 2018

Learning IP network representations.

Mingda Li, Bo Zong, Cristian Lumezanu, Haifeng Chen

Comput. Commun. Rev., 2018

Deep Learning IP Network Representations.

Mingda Li, Cristian Lumezanu, Bo Zong, Haifeng Chen

Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2018

RIOS: Runtime Integrated Optimizer for Spark.

Youfu Li, Mingda Li, Ling Ding, Matteo Interlandi

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

Constructing target-aware results for keyword search on knowledge graphs.

Yi Shan, Mingda Li, Yi Chen

Data Knowl. Eng., 2017

A Network Interconnection System and Framework Based on Semantic Communication.

Mingda Li, Qingxv Xiong, Long Yuan

Proceedings of the VI International Conference on Network, Communication and Computing, 2017

Automated debugging in data-intensive scalable computing.

Muhammad Ali Gulzar, Matteo Interlandi, Xueyuan Han, Mingda Li, Tyson Condie, Miryung Kim

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2015

Cleanix: a Parallel Big Data Cleaning System.

Hongzhi Wang, Mingda Li, Yingyi Bu, Jianzhong Li, Hong Gao, Jiacheng Zhang

SIGMOD Rec., 2015

2014

Sectional and Conditional Functional Dependencies.

Mingda Li, Hongzhi Wang, Ye Li

Proceedings of the Wireless Algorithms, Systems, and Applications, 2014

Cleanix: A Big Data Cleaning Parfait.

Hongzhi Wang, Mingda Li, Yingyi Bu, Jianzhong Li, Hong Gao, Jiacheng Zhang

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2011

A real-time command system based on hand gesture recognition.

Jufeng Yang, Jing Xu, Mingda Li, Dingzhen Zhang, Congchao Wang

Proceedings of the Seventh International Conference on Natural Computation, 2011