Dynamic Project Management and its Application on Emergency Response System. - Xianzhong Zhou; Zhaohan Sheng; Jiabao Zhao; Haifeng Ling; Yunzhang Hou (ICNSC, 2007)

Attribute Reduction in Decision-Theoretic Rough Set Model: A Further Investigation. - Huaxiong Li; Xianzhong Zhou; Jiabao Zhao; Dun Liu (RSKT, 2011)

Cost-Sensitive Classification Based on Decision-Theoretic Rough Set Model. - Huaxiong Li; Xianzhong Zhou; Jiabao Zhao; Bing Huang (RSKT, 2012)

An interval set model for learning rules from incomplete information table. - Huaxiong Li; Minhong Wang 001; Xianzhong Zhou; Jiabao Zhao (Int. J. Approx. Reason., 2012)

Impact of Software Complexity on Development Productivity. - Jizhou Zhan; Xianzhong Zhou; Jiabao Zhao (Int. J. Softw. Eng. Knowl. Eng., 2012)

Non-Monotonic Attribute Reduction in Decision-Theoretic Rough Sets. - Huaxiong Li; Xianzhong Zhou; Jiabao Zhao; Dun Liu (Fundam. Informaticae, 2013)

The Effectiveness of Virtual Reality for Studying Human Behavior in Fire. - Xinxin Feng; Rongzhen Cui; Jiabao Zhao (HCI (11), 2015)

Combined Flocking and Region-Based Shape Control for Multi-Agent Systems. - Wenxin Fang; Jiabao Zhao; Yuchen Pan (CDC, 2019)

Shape Self-Assembly for a Swarm of Agents. - Xiaoyun Zhu; Jiabao Zhao; Jinyan Ji; Wenxin Fang; Yuchen Pan (ICNSC, 2019)

A Novel Traffic Light Control Strategy With a Reconfigured Stop Line. - Jinyan Ji; Jiabao Zhao; Hao Sun (IV, 2019)

Kinematic Characterization of a Target-Defense Problem With an Interception and Expelling Strategy. - Jiabao Zhao; Wei Li 062 (IEEE Trans. Cybern., 2019)

Knowledge-Based Fine-Grained Classification For Few-Shot Learning. - Jiabao Zhao; Xin Lin 001; Jie Zhou 015; Jing Yang 023; Liang He 001; Zhaohui Yang (ICME, 2020)

An Improved Deep Multiple-input and Single-output PointNet for 3D Model Retrieval. - Junwen Tong; Jiabao Zhao; Jiaoyang Jin; Weisong Qiao; Haitong Li (ICNSC, 2020)

Root Cause Analysis of Concurrent Alarms Based on Random Walk over Anomaly Propagation Graph. - Lingyu Zhang 005; Jiabao Zhao; Min Zhang (ICNSC, 2020)

基于深度强化学习的交通信号控制方法 (Traffic Signal Control Method Based on Deep Reinforcement Learning). - Hao Sun; Chunlin Chen; Qiong Liu; Jiabao Zhao (计算机科学, 2020)

Looking Wider for Better Adaptive Representation in Few-Shot Learning. - Jiabao Zhao; Yifan Yang 001; Xin Lin 001; Jing Yang 023; Liang He 001 (AAAI, 2021)

Cross-Modal Knowledge Distillation For Fine-Grained One-Shot Classification. - Jiabao Zhao; Xin Lin 001; Yifan Yang 001; Jing Yang 023; Liang He 001 (ICASSP, 2021)

Time Series Anomaly Detection Based on CEEMDAN and LSTM. - Yucong Rao; Jiabao Zhao (ICNSC, 2021)

A Two-Layer Architecture for Failure Prediction Based on High-Dimension Monitoring Sequences. - Xue Wang; Fan Liu; Yixin Feng; Jiabao Zhao (Complex., 2021)

MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis. - Jie Zhou 015; Jiabao Zhao; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (Neurocomputing, 2021)

Online and Unsupervised Anomaly Detection for Streaming Data Using an Array of Sliding Windows and PDDs. - Lingyu Zhang 005; Jiabao Zhao; Wei Li 062 (IEEE Trans. Cybern., 2021)

Uncertainty-Aware Few-Shot Class-Incremental Learning. - Jiancai Zhu; Jiabao Zhao; Jiayi Zhou; Liang He 001; Jing Yang 023; Zhi Zhang (ICASSP, 2023)

FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models. - Yanhong Bai; Jiabao Zhao; Jinxin Shi; Tingjiang Wei; Xingjiao Wu; Liang He 001 (CoRR, 2023)

CGMI: Configurable General Multi-Agent Interaction Framework. - Jinxin Shi; Jiabao Zhao; Yilei Wang; Xingjiao Wu; Jiawen Li; Liang He 001 (CoRR, 2023)

A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis. - Jingyi Zhou; Jie Zhou 015; Jiabao Zhao; Siyin Wang; Haijun Shan; Gui Tao; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

Manufacturing servitization in the digital economy: a configurational analysis from dynamic capabilities and lifecycle perspective. - Jun Zhan; Ziyan Zhang; Shun Zhang; Jiabao Zhao; Fuhong Wang (Ind. Manag. Data Syst., 2023)

HHSKT: A learner-question interactions based heterogeneous graph neural network model for knowledge tracing. - Qin Ni; Tingjiang Wei; Jiabao Zhao; Liang He 001; Chanjin Zheng (Expert Syst. Appl., 2023)

MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems. - Zhentao Xie; Jiabao Zhao; Yilei Wang; Jinxin Shi; Yanhong Bai; Xingjiao Wu; Liang He 001 (ECAI, 2024)

A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. - Jingyi Zhou; Jie Zhou 015; Jiabao Zhao; Siyin Wang; Haijun Shan; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ICASSP, 2024)

Artistry in Pixels: FVS - A Framework for Evaluating Visual Elegance and Sentiment Resonance in Generated Images. - Weijie Li; Luwei Xiao; Xingjiao Wu; Tianlong Ma; Jiabao Zhao; Liang He 001 (ICME, 2024)

VIP-FSCIL: A More Robust Approach for FSCIL. - Zhihang Wei; Jinxin Shi; Jing Yang 023; Jiabao Zhao (ICME, 2024)

FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models. - Yanhong Bai; Jiabao Zhao; Jinxin Shi; Zhentao Xie; Xingjiao Wu; Liang He 001 (CoRR, 2024)

Debiased Visual Question Answering via the perspective of question types. - Tianyu Huai; Shuwen Yang; Junhang Zhang; Jiabao Zhao; Liang He 001 (Pattern Recognit. Lett., 2024)

A survey of explainable knowledge tracing. - Yanhong Bai; Jiabao Zhao; Tingjiang Wei; Qing Cai; Liang He 001 (Appl. Intell., 2024)

RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation. - Zhentao Xie; Chengcheng Han 006; Jinxin Shi; Wenjun Cui; Xin Zhao; Xingjiao Wu; Jiabao Zhao (ACL (Findings), 2025)

Dynamically Causal-Enhanced Exercise Representations for Adaptive Knowledge Tracing. - Yanhong Bai; Jiabao Zhao; Tingjiang Wei; Jinxin Shi; Liang He 001 (ICASSP, 2025)

MSA-SAM2Net: A Polyp Segmentation Framework Based on Large Kernel Multi-Scale Attention. - Jiyun Li; Jie Pan; Chen Qian; Ying Shen; Jiabao Zhao (ICME, 2025)

FedDMC: Dual-Model Dynamic Interaction with Multi-Stage Correction for Noisy Federated Learning. - Jiyun Li; Teng Li; Chen Qian; Jiabao Zhao (SEKE, 2025)

Mitigating reasoning hallucination through Multi-agent Collaborative Filtering. - Jinxin Shi; Jiabao Zhao; Xingjiao Wu; Ruyi Xu; Yuan-Hao Jiang; Liang He 001 (Expert Syst. Appl., 2025)

A Survey on the Optimization of Large Language Model-based Agents. - Shangheng Du; Jiabao Zhao; Jinxin Shi; Zhentao Xie; Xin Jiang; Yanhong Bai; Liang He 001 (CoRR, 2025)