2025
TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers' Guidance.
CoRR, March, 2025
TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models.
CoRR, March, 2025
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models.
CoRR, March, 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.
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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.
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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
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