Mengyu Zhou

Orcid: 0000-0002-0322-7513

According to our database1, Mengyu Zhou authored at least 37 papers between 2012 and 2025.

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Bibliography

2025
Analysis and control of demand response in smart grids: An evolutionary game method.
Appl. Math. Comput., 2025

2024
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning.
CoRR, 2024

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models.
CoRR, 2024

Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities.
CoRR, 2024

CONLINE: Complex Code Generation and Refinement with Online Searching and Correctness Testing.
CoRR, 2024

Analysis of cooperative stability for reputation evaluation rules in spatial prisoner's dilemma game.
Appl. Math. Comput., 2024

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Encoding Spreadsheets for Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A lightweight segmentation network for endoscopic surgical instruments based on edge refinement and efficient self-attention.
PeerJ Comput. Sci., 2023

Evaluating and Enhancing Structural Understanding Capabilities of Large Language Models on Tables via Input Designs.
CoRR, 2023

CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation.
IEEE Trans. Vis. Comput. Graph., 2022

LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training.
CoRR, 2022

Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information.
CoRR, 2022

ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization.
CoRR, 2022

Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks.
CoRR, 2022

Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Table2Charts: Recommending Charts by Learning Shared Table Representations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Table2Charts: Learning Shared Representations for Recommending Charts on Multi-dimensional Data.
CoRR, 2020

MLAB-BiLSTM: Online Web Attack Detection Via Attention-Based Deep Neural Networks.
Proceedings of the Security and Privacy in Digital Economy, 2020

Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Collaborative learning between cloud and end devices: an empirical study on location prediction.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018
The Frame Latency of Personalized Livestreaming Can Be Significantly Slowed Down by WiFi.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

2017
MinHash hierarchy for privacy preserving trajectory sensing and query.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Mining crowd mobility and WiFi hotspots on a densely-populated campus.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2016
Modelling Conversation.
Proceedings of the Context Aware Human-Robot and Human-Agent Interaction, 2016

MobiCamp: a Campus-wide Testbed for Studying Mobile Physical Activities.
Proceedings of the 3rd International on Workshop on Physical Analytics, 2016

Characterizing and Improving WiFi Latency in Large-Scale Operational Networks.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

EDUM: classroom education measurements via large-scale WiFi networks.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2012
Real-Time Feedback System for Monitoring and Facilitating Discussions.
Proceedings of the Natural Interaction with Robots, 2012


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