Optimal energy storage management for microgrids with ON/OFF co-generator: A two-time-scale approach. - Yiren Shen; Xiaoxian Ou; Jiarong Xu; Guanglin Zhang; Lin Wang 022; Dapeng Li 001 (GlobalSIP, 2015)

NGUARD: A Game Bot Detection Framework for NetEase MMORPGs. - Jianrong Tao; Jiarong Xu; Linxia Gong; Yifu Li; Changjie Fan; Zhou Zhao 001 (KDD, 2018)

Parameter Self-Tuning of SISO Compact-Form Model-Free Adaptive Controller based on Neural Network with System Error Set as Input. - Chen Chen 052; Xueyuan Li; Ye Yang; Jiarong Xu; Zuwei Liao; Xinggao Liu; Jinshui Chen; Jiangang Lu (ASCC, 2019)

A PSO-LP Cooperative Algorithm for Mixed Integer Nonlinear Programming. - Ye Yang; Jinhou Han; Chen Chen 052; Jiarong Xu; Zuwei Liao; Xinggao Liu; Jinshui Chen; Jiangang Lu (ASCC, 2019)

Unsupervised Adversarially-Robust Representation Learning on Graphs. - Jiarong Xu; Junru Chen; Yang Yang 009; Yizhou Sun; Chunping Wang 001; Jiangang Lu (CoRR, 2020)

Query-free Black-box Adversarial Attacks on Graphs. - Jiarong Xu; Yizhou Sun; Xin Jiang; Yanhao Wang; Yang Yang 009; Chunping Wang 001; Jiangang Lu (CoRR, 2020)

NGUARD+: An Attention-based Game Bot Detection Framework via Player Behavior Sequences. - Jiarong Xu; Yifan Luo; Jianrong Tao; Changjie Fan; Zhou Zhao 001; Jiangang Lu (ACM Trans. Knowl. Discov. Data, 2020)

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. - Qinkai Zheng; Xu Zou 001; Yuxiao Dong; Yukuo Cen; Da Yin; Jiarong Xu; Yang Yang 009; Jie Tang 001 (NeurIPS Datasets and Benchmarks, 2021)

Robustness of deep learning models on graphs: A survey. - Jiarong Xu; Junru Chen; Siqi You; Zhiqing Xiao; Yang Yang 009; Jiangang Lu (AI Open, 2021)

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs. - Jiarong Xu; Yizhou Sun; Xin Jiang; Yanhao Wang; Chunping Wang 001; Jiangang Lu; Yang Yang 009 (AAAI, 2022)

Unsupervised Adversarially Robust Representation Learning on Graphs. - Jiarong Xu; Yang Yang 009; Junru Chen; Xin Jiang; Chunping Wang 001; Jiangang Lu; Yizhou Sun (AAAI, 2022)

Parallel Physics-Informed Neural Networks with Bidirectional Balance. - Yuhao Huang; Jiarong Xu; Shaomei Fang; Zupeng Zhu; Linfeng Jiang; Xiaoxin Liang (ICIAI, 2022)

Can Abnormality be Detected by Graph Neural Networks? - Ziwei Chai; Siqi You; Yang Yang 009; Shiliang Pu; Jiarong Xu; Haoyang Cai; Weihao Jiang (IJCAI, 2022)

Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network. - Yifei Sun 002; Haoran Deng; Yang Yang 009; Chunping Wang 001; Jiarong Xu; Renhong Huang; Linfeng Cao; Yang Wang; Lei Chen 082 (IJCAI, 2022)

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection. - Xuanwen Huang; Yang Yang 009; Yang Wang; Chunping Wang 001; Zhisheng Zhang; Jiarong Xu; Lei Chen 082; Michalis Vazirgiannis (NeurIPS, 2022)

A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training. - Zhihao Fan; Zhongyu Wei; Jingjing Chen 001; Siyuan Wang; Zejun Li; Jiarong Xu; Xuanjing Huang 001 (CoRR, 2022)

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection. - Xuanwen Huang; Yang Yang 009; Yang Wang; Chunping Wang 001; Zhisheng Zhang; Jiarong Xu; Lei Chen 082 (CoRR, 2022)

Robust Network Enhancement From Flawed Networks. - Jiarong Xu; Yang Yang 009; Chunping Wang 001; Zongtao Liu; Jing Zhang 001; Lei Chen 082; Jiangang Lu (IEEE Trans. Knowl. Data Eng., 2022)

DropMessage: Unifying Random Dropping for Graph Neural Networks. - Taoran Fang; Zhiqing Xiao; Chunping Wang 001; Jiarong Xu; Xuan Yang; Yang Yang 009 (AAAI, 2023)

Unleashing the Power of Language Models in Text-Attributed Graph. - Haoyu Kuang; Jiarong Xu; Haozhe Zhang 003; Zuyu Zhao; Qi Zhang 001; Xuanjing Huang 001; Zhongyu Wei (EMNLP (Findings), 2023)

One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling. - Ruoxue Ma; Jiarong Xu; Xinnong Zhang; Haozhe Zhang 003; Zuyu Zhao; Qi Zhang 001; Xuanjing Huang 001; Zhongyu Wei (EMNLP (Findings), 2023)

Understanding Translationese in Cross-Lingual Summarization. - Jiaan Wang; Fandong Meng; Yunlong Liang; Tingyi Zhang; Jiarong Xu; Zhixu Li; Jie Zhou 016 (EMNLP (Findings), 2023)

When to Pre-Train Graph Neural Networks? From Data Generation Perspective! - Yuxuan Cao; Jiarong Xu; Carl Yang 001; Jiaan Wang; Yunchao Zhang; Chunping Wang 001; Lei Chen 082; Yang Yang 009 (KDD, 2023)

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks. - Jiarong Xu; Renhong Huang; Xin Jiang; Yuxuan Cao; Carl Yang 001; Chunping Wang 001; Yang Yang 009 (NeurIPS, 2023)

Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning. - Siyuan Wang; Zhongyu Wei; Jiarong Xu; Zhihao Fan (CoRR, 2023)

Cross-Lingual Knowledge Editing in Large Language Models. - Jiaan Wang; Yunlong Liang; Zengkui Sun; Yuxuan Cao; Jiarong Xu (CoRR, 2023)

DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning. - Wei Chen 088; Qiushi Wang; Zefei Long; Xianyin Zhang; Zhongtian Lu; Bingxuan Li; Siyuan Wang; Jiarong Xu; Xiang Bai; Xuanjing Huang 001; Zhongyu Wei (CoRR, 2023)

NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning. - Jiarong Xu; Yang Yang 009; Shiliang Pu; Yao Fu; Jun Feng; Weihao Jiang; Jiangang Lu; Chunping Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks. - Renhong Huang; Jiarong Xu; Xin Jiang; Chenglu Pan; Zhiming Yang; Chunping Wang 001; Yang Yang 009 (AAAI, 2024)

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks. - Junlong Liao; Wenda Fu; Cong Wang 043; Zhongyu Wei; Jiarong Xu (AAAI, 2024)

Towards Fair Graph Federated Learning via Incentive Mechanisms. - Chenglu Pan; Jiarong Xu; Yue Yu; Ziqi Yang; Qingbiao Wu; Chunping Wang 001; Lei Chen 082; Yang Yang 009 (AAAI, 2024)

Cross-Lingual Knowledge Editing in Large Language Models. - Jiaan Wang; Yunlong Liang; Zengkui Sun; Yuxuan Cao; Jiarong Xu; Fandong Meng (ACL (1), 2024)

Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training. - Zhou Zhang; Dongzeng Tan; Jiaan Wang; Yilong Chen; Jiarong Xu (EMNLP, 2024)

Can Modifying Data Address Graph Domain Adaptation? - Renhong Huang; Jiarong Xu; Xin Jiang; Ruichuan An; Yang Yang 009 (KDD, 2024)

Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data. - Hanyang Yuan; Jiarong Xu; Cong Wang 043; Ziqi Yang; Chunping Wang 001; Keting Yin; Yang Yang 009 (KDD, 2024)

Extracting Training Data from Molecular Pre-trained Models. - Renhong Huang; Jiarong Xu; Zhiming Yang; Xiang Si; Xin Jiang; Hanyang Yuan; Chunping Wang 001; Yang Yang 009 (NeurIPS, 2024)

Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach. - Hanyang Yuan; Jiarong Xu; Renhong Huang; Mingli Song; Chunping Wang 001; Yang Yang 009 (NeurIPS, 2024)

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. - Xinke Jiang; Zidi Qin; Jiarong Xu; Xiang Ao 001 (WSDM, 2024)

CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models. - Haoxiang Shi; Jiaan Wang; Jiarong Xu; Cen Wang; Tetsuya Sakai (CoRR, 2024)

Unifying Structure Reasoning and Language Pre-Training for Complex Reasoning Tasks. - Siyuan Wang; Zhongyu Wei; Jiarong Xu; Taishan Li; Zhihao Fan (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

An Empirical Study of Many-to-Many Summarization with Large Language Models. - Jiaan Wang; Fandong Meng; Zengkui Sun; Yunlong Liang; Yuxuan Cao; Jiarong Xu; Haoxiang Shi; Jie Zhou 016 (ACL (1), 2025)

How to use Graph Data in the Wild to Help Graph Anomaly Detection? - Yuxuan Cao; Jiarong Xu; Chen Zhao; Jiaan Wang; Carl Ji Yang; Chunping Wang 001; Yang Yang 009 (KDD (1), 2025)

LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. - Yiran Qiao; Xiang Ao 001; Yang Liu 200; Jiarong Xu; Xiaoqian Sun; Qing He 003 (WSDM, 2025)

Defending Data Inference Attacks Against Machine Learning Models by Mitigating Prediction Distinguishability. - Ziqi Yang; Yiran Zhu; Jie Wan; ChuXiao Xiang; Tong Tang; Yilin Wang; Ruite Xu; Lijin Wang; Fan Zhang 010; Jiarong Xu; Zhan Qin (IEEE Trans. Dependable Secur. Comput., 2025)

Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios. - Chenglu Pan; Xiaogang Xu 009; Ganggui Ding; Yunke Zhang; Wenbo Li; Jiarong Xu; Qingbiao Wu (CoRR, 2025)

Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models. - Siwei Zhang 001; Yun Xiong; Yateng Tang; Xi Chen 072; Zian Jia; Zehao Gu; Jiarong Xu; Jiawei Zhang 001 (CoRR, 2025)

Rethinking Time Encoding via Learnable Transformation Functions. - Xi Chen 072; Yateng Tang; Jiarong Xu; Jiawei Zhang 001; Siwei Zhang 001; Sijia Peng; Xuehao Zheng; Yun Xiong (CoRR, 2025)