Design and Implementation of Portable Multi-Parameter Tele-Monitor Terminal Based on S3C2410a. - Qinwu Zhou; Pengcheng Jiang; Zixiong Qu; Xiaoming Liu; Xiaobo Zhang (BMEI, 2009)

Handoff prediction for data caching in mobile Content Centric Network. - Pengcheng Jiang; Yuehui Jin; Tan Yang; Joost Geurts; Yaning Liu; Jean-Charles Point (ICCT, 2013)

Congestion Prediction of Urban Traffic Employing SRBDP. - Pengcheng Jiang; Lei Liu 003; Lizhen Cui; Hui Li 048; Yuliang Shi (ISPA/IUCC, 2017)

Optimal Resonant Band Demodulation Based on an Improved Correlated Kurtosis and Its Application in Bearing Fault Diagnosis. - Xianglong Chen; Bingzhi Zhang; Fuzhou Feng; Pengcheng Jiang (Sensors, 2017)

Data Driven Congestion Trends Prediction of Urban Transportation. - Rui Jia; Pengcheng Jiang; Lei Liu 003; Lizhen Cui; Yuliang Shi (IEEE Internet Things J., 2018)

Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network. - Chunzhi Wu; Pengcheng Jiang; Chuang Ding; Fuzhou Feng; Tang Chen (Comput. Ind., 2019)

Nonlinear Dynamic Analysis of Functionally Graded Graphene Reinforced Composite Truncated Conical Shells. - Aiwen Wang; Youqing Pang; Wei Zhang 084; Pengcheng Jiang (Int. J. Bifurc. Chaos, 2019)

Nonconvex Wavelet Thresholding Total Variation Denoising Method for Planetary Gearbox Fault Diagnosis. - Pengcheng Jiang; Yong Chang; Hua Cong; Fuzhou Feng (IEEE Access, 2020)

OACAL: Finding Module-consistent Specifications to Secure Systems from Weakened User Obligations. - Pengcheng Jiang; Kenji Tei (SSCI, 2021)

A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks. - Yu Xue 003; Pengcheng Jiang; Ferrante Neri; Jiayu Liang (Int. J. Neural Syst., 2021)

Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. - Pengcheng Jiang; Shivam Agarwal; Bowen Jin; Xuan Wang 008; Jimeng Sun 001; Jiawei Han 001 (ACL (Findings), 2023)

GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs. - Pengcheng Jiang; Cao Xiao; Adam Cross; Jimeng Sun 001 (CoRR, 2023)

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

Continuously evolving dropout with multi-objective evolutionary optimisation. - Pengcheng Jiang; Yu Xue 003; Ferrante Neri (Eng. Appl. Artif. Intell., 2023)

Convolutional neural network pruning based on multi-objective feature map selection for image classification. - Pengcheng Jiang; Yu Xue 003; Ferrante Neri (Appl. Soft Comput., 2023)

Taxonomy-guided Semantic Indexing for Academic Paper Search. - SeongKu Kang; Yunyi Zhang 001; Pengcheng Jiang; Dongha Lee 003; Jiawei Han 001; Hwanjo Yu (EMNLP, 2024)

Surrogate-Assisted Evolutionary Neural Architecture Search with Isomorphic Training and Prediction. - Pengcheng Jiang; Yu Xue 003; Ferrante Neri; Mohamed Wahib (ICIC (2), 2024)

GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs. - Pengcheng Jiang; Cao Xiao; Adam Cross; Jimeng Sun 001 (ICLR, 2024)

Robust Representation Learning for Image Clustering. - Pengcheng Jiang; Ye Zhu 002; Yang Cao 019; Gang Li 009; Gang Liu 021; Bo Yang 002 (KSEM (4), 2024)

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. - Pengcheng Jiang; Jiacheng Lin; Zifeng Wang 008; Jimeng Sun 001; Jiawei Han 001 (NAACL-HLT, 2024)

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. - Pengcheng Jiang; Cao Xiao; Zifeng Wang 008; Parminder Bhatia; Jimeng Sun 001; Jiawei Han 001 (NAACL-HLT, 2024)

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. - Pengcheng Jiang; Lang Cao; Cao (Danica) Xiao; Parminder Bhatia; Jimeng Sun 001; Jiawei Han 001 (NeurIPS, 2024)

A Generalized Attention Mechanism to Enhance the Accuracy Performance of Neural Networks. - Pengcheng Jiang; Ferrante Neri; Yu Xue 003; Ujjwal Maulik (Int. J. Neural Syst., 2024)

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations. - Pengcheng Jiang; Cao Xiao; Tianfan Fu; Parminder Bhatia; Taha A. Kass-Hout; Jimeng Sun 001; Jiawei Han 001 (AAAI, 2025)

Homogeneous Architecture Augmentation and Confidence Prediction for Evolutionary Neural Architecture Search. - Pengcheng Jiang; Yu Xue 003; Ferrante Neri (CEC, 2025)

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. - Pengcheng Jiang; Cao Xiao; Minhao Jiang; Parminder Bhatia; Taha A. Kass-Hout; Jimeng Sun 001; Jiawei Han 001 (ICLR, 2025)

RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation. - Pengcheng Jiang; Lang Cao; Ruike Zhu; Minhao Jiang; Yunyi Zhang 001; Jimeng Sun 001; Jiawei Han 001 (CoRR, 2025)

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning. - Pengcheng Jiang; Jiacheng Lin; Lang Cao; Runchu Tian; SeongKu Kang; Zifeng Wang 008; Jimeng Sun 001; Jiawei Han 001 (CoRR, 2025)

s3: You Don't Need That Much Data to Train a Search Agent via RL. - Pengcheng Jiang; Xueqiang Xu; Jiacheng Lin; Jinfeng Xiao; Zifeng Wang 008; Jimeng Sun 001; Jiawei Han 001 (CoRR, 2025)

TrialPanorama: Database and Benchmark for Systematic Review and Design of Clinical Trials. - Zifeng Wang 008; Qiao Jin 001; Jiacheng Lin; Junyi Gao; Jathurshan Pradeepkumar; Pengcheng Jiang; Benjamin P. Danek; Zhiyong Lu; Jimeng Sun 001 (CoRR, 2025)

Zero-Shot Open-Schema Entity Structure Discovery. - Xueqiang Xu; Jinfeng Xiao; James Barry; Mohab Elkaref; Jiaru Zou; Pengcheng Jiang; Yunyi Zhang 001; Maxwell Giammona; Geeth de Mel; Jiawei Han 001 (CoRR, 2025)

CC-RAG: Structured Multi-Hop Reasoning via Theme-Based Causal Graphs. - Jash Rajesh Parekh; Pengcheng Jiang; Jiawei Han 001 (CoRR, 2025)