Sihang Jiang

Orcid: 0000-0002-0736-6457

According to our database1, Sihang Jiang authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
KnowLog: Knowledge Enhanced Pre-trained Language Model for Log Understanding.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sweet Apple, company? or food? Adjective-centric commonsense knowledge acquisition with taxonomy-guided induction.
Knowl. Based Syst., November, 2023

EASC: An exception-aware semantic compression framework for real-world knowledge graphs.
Knowl. Based Syst., October, 2023

Uncover the reasons for performance differences between measurement functions (Provably).
Appl. Intell., March, 2023

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception.
CoRR, 2023

Beyond the Obvious: Evaluating the Reasoning Ability In Real-life Scenarios of Language Models on Life Scapes Reasoning Benchmark~(LSR-Benchmark).
CoRR, 2023

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.
CoRR, 2023

GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation.
CoRR, 2023

Sem4SAP: Synonymous Expression Mining From Open Knowledge Graph For Language Model Synonym-Aware Pretraining.
CoRR, 2023

ServerRCA: Root Cause Analysis for Server Failure using Operating System Logs.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

ShellGPT: Generative Pre-trained Transformer Model for Shell Language Understanding.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data.
Proceedings of the International Conference on Machine Learning and Applications, 2023

GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Entity understanding with hierarchical graph learning for enhanced text classification.
Knowl. Based Syst., 2022

Rule mining over knowledge graphs via reinforcement learning.
Knowl. Based Syst., 2022

Utilizing Expert Knowledge and Contextual Information for Sample-Limited Causal Graph Construction.
Proceedings of the Database Systems for Advanced Applications, 2022

Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Crossword Puzzle Resolution via Monte Carlo Tree Search.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
An energy-efficient and high-PSNR image denoising pre-processor based on optimized non-local means algorithm for real-time FHD video applications.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

Comparison between Expected and Observed Fisher Information in Interval Estimation.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
Mining Infrequent High-Quality Phrases from Domain-Specific Corpora.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Transfer Learning for Sequences via Learning to Collocate.
Proceedings of the 7th International Conference on Learning Representations, 2019

Towards the Completion of a Domain-Specific Knowledge Base with Emerging Query Terms.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019


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