Pengcheng Jiang

Orcid: 0000-0002-9625-697X

According to our database1, Pengcheng Jiang authored at least 32 papers between 2009 and 2025.

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

Timeline

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Bibliography

2025
CC-RAG: Structured Multi-Hop Reasoning via Theme-Based Causal Graphs.
CoRR, June, 2025

Zero-Shot Open-Schema Entity Structure Discovery.
CoRR, June, 2025

TrialPanorama: Database and Benchmark for Systematic Review and Design of Clinical Trials.
CoRR, May, 2025

s3: You Don't Need That Much Data to Train a Search Agent via RL.
CoRR, May, 2025

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.
CoRR, March, 2025

RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation.
CoRR, February, 2025

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Homogeneous Architecture Augmentation and Confidence Prediction for Evolutionary Neural Architecture Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
A Generalized Attention Mechanism to Enhance the Accuracy Performance of Neural Networks.
Int. J. Neural Syst., December, 2024

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Robust Representation Learning for Image Clustering.
Proceedings of the Knowledge Science, Engineering and Management, 2024

GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Surrogate-Assisted Evolutionary Neural Architecture Search with Isomorphic Training and Prediction.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Taxonomy-guided Semantic Indexing for Academic Paper Search.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Convolutional neural network pruning based on multi-objective feature map selection for image classification.
Appl. Soft Comput., May, 2023

Continuously evolving dropout with multi-objective evolutionary optimisation.
Eng. Appl. Artif. Intell., 2023

Gode - Integrating Biochemical Knowledge Graph into Pre-training Molecule Graph Neural Network.
CoRR, 2023

GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs.
CoRR, 2023

Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021
A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks.
Int. J. Neural Syst., 2021

OACAL: Finding Module-consistent Specifications to Secure Systems from Weakened User Obligations.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
Nonconvex Wavelet Thresholding Total Variation Denoising Method for Planetary Gearbox Fault Diagnosis.
IEEE Access, 2020

2019
Nonlinear Dynamic Analysis of Functionally Graded Graphene Reinforced Composite Truncated Conical Shells.
Int. J. Bifurc. Chaos, 2019

Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network.
Comput. Ind., 2019

2018
Data Driven Congestion Trends Prediction of Urban Transportation.
IEEE Internet Things J., 2018

2017
Optimal Resonant Band Demodulation Based on an Improved Correlated Kurtosis and Its Application in Bearing Fault Diagnosis.
Sensors, 2017

Congestion Prediction of Urban Traffic Employing SRBDP.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2013
Handoff prediction for data caching in mobile Content Centric Network.
Proceedings of the 15th IEEE International Conference on Communication Technology, 2013

2009
Design and Implementation of Portable Multi-Parameter Tele-Monitor Terminal Based on S3C2410a.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009


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