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Jiabao Zhao
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2020 – today
- 2024
- [j12]Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He:
A survey of explainable knowledge tracing. Appl. Intell. 54(8): 6483-6514 (2024) - [j11]Tianyu Huai
, Shuwen Yang, Junhang Zhang, Jiabao Zhao, Liang He
Debiased Visual Question Answering via the perspective of question types. Pattern Recognit. Lett. 178: 181-187 (2024) - [c18]Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He:
MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems. ECAI 2024: 3308-3315 - [c17]Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang:
A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. ICASSP 2024: 10016-10020 - [c16]Weijie Li, Luwei Xiao, Xingjiao Wu, Tianlong Ma, Jiabao Zhao, Liang He:
Artistry in Pixels: FVS - A Framework for Evaluating Visual Elegance and Sentiment Resonance in Generated Images. ICME 2024: 1-6 - [c15]Zhihang Wei, Jinxin Shi, Jing Yang, Jiabao Zhao:
VIP-FSCIL: A More Robust Approach for FSCIL. ICME 2024: 1-6 - [i6]Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He:
A Survey of Explainable Knowledge Tracing. CoRR abs/2403.07279 (2024) - [i5]Yanhong Bai, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xingjiao Wu, Liang He:
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models. CoRR abs/2405.03098 (2024) - [i4]Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He:
MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems. CoRR abs/2410.04452 (2024) - 2023
- [j10]Qin Ni
HHSKT: A learner-question interactions based heterogeneous graph neural network model for knowledge tracing. Expert Syst. Appl. 215: 119334 (2023) - [j9]Jun Zhan
Manufacturing servitization in the digital economy: a configurational analysis from dynamic capabilities and lifecycle perspective. Ind. Manag. Data Syst. 123(1): 79-111 (2023) - [c14]Jiancai Zhu, Jiabao Zhao, Jiayi Zhou, Liang He, Jing Yang, Zhi Zhang:
Uncertainty-Aware Few-Shot Class-Incremental Learning. ICASSP 2023: 1-5 - [i3]Yanhong Bai, Jiabao Zhao, Jinxin Shi, Tingjiang Wei, Xingjiao Wu, Liang He:
FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models. CoRR abs/2308.10397 (2023) - [i2]Jinxin Shi, Jiabao Zhao, Yilei Wang, Xingjiao Wu, Jiawen Li, Liang He:
CGMI: Configurable General Multi-Agent Interaction Framework. CoRR abs/2308.12503 (2023) - [i1]Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Gui Tao, Qi Zhang, Xuanjing Huang:
A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis. CoRR abs/2312.10479 (2023) - 2021
- [j8]Xue Wang, Fan Liu
A Two-Layer Architecture for Failure Prediction Based on High-Dimension Monitoring Sequences. Complex. 2021: 6623666:1-6623666:9 (2021) - [j7]Jie Zhou, Jiabao Zhao, Jimmy Xiangji Huang
MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis. Neurocomputing 455: 47-58 (2021) - [j6]Lingyu Zhang, Jiabao Zhao, Wei Li
Online and Unsupervised Anomaly Detection for Streaming Data Using an Array of Sliding Windows and PDDs. IEEE Trans. Cybern. 51(4): 2284-2289 (2021) - [c13]Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He:
Looking Wider for Better Adaptive Representation in Few-Shot Learning. AAAI 2021: 10981-10989 - [c12]Jiabao Zhao, Xin Lin, Yifan Yang
Cross-Modal Knowledge Distillation For Fine-Grained One-Shot Classification. ICASSP 2021: 4295-4299 - [c11]Yucong Rao, Jiabao Zhao:
Time Series Anomaly Detection Based on CEEMDAN and LSTM. ICNSC 2021: 1-6 - 2020
- [j5]Hao Sun, Chunlin Chen, Qiong Liu, Jiabao Zhao:
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). 计算机科学 47(2): 169-174 (2020) - [c10]Jiabao Zhao, Xin Lin, Jie Zhou, Jing Yang, Liang He, Zhaohui Yang:
Knowledge-Based Fine-Grained Classification For Few-Shot Learning. ICME 2020: 1-6 - [c9]Junwen Tong, Jiabao Zhao, Jiaoyang Jin, Weisong Qiao, Haitong Li:
An Improved Deep Multiple-input and Single-output PointNet for 3D Model Retrieval. ICNSC 2020: 1-6 - [c8]Lingyu Zhang, Jiabao Zhao, Min Zhang:
Root Cause Analysis of Concurrent Alarms Based on Random Walk over Anomaly Propagation Graph. ICNSC 2020: 1-6
2010 – 2019
- 2019
- [j4]Jiabao Zhao
Kinematic Characterization of a Target-Defense Problem With an Interception and Expelling Strategy. IEEE Trans. Cybern. 49(9): 3607-3615 (2019) - [c7]Wenxin Fang, Jiabao Zhao, Yuchen Pan:
Combined Flocking and Region-Based Shape Control for Multi-Agent Systems. CDC 2019: 3557-3562 - [c6]Xiaoyun Zhu, Jiabao Zhao, Jinyan Ji, Wenxin Fang, Yuchen Pan:
Shape Self-Assembly for a Swarm of Agents. ICNSC 2019: 247-251 - [c5]Jinyan Ji, Jiabao Zhao, Hao Sun:
A Novel Traffic Light Control Strategy With a Reconfigured Stop Line. IV 2019: 1088-1092 - 2015
- [c4]Xinxin Feng, Rongzhen Cui, Jiabao Zhao:
The Effectiveness of Virtual Reality for Studying Human Behavior in Fire. HCI (11) 2015: 13-21 - 2013
- [j3]Huaxiong Li, Xianzhong Zhou, Jiabao Zhao, Dun Liu
Non-Monotonic Attribute Reduction in Decision-Theoretic Rough Sets. Fundam. Informaticae 126(4): 415-432 (2013) - 2012
- [j2]Huaxiong Li, Minhong Wang
An interval set model for learning rules from incomplete information table. Int. J. Approx. Reason. 53(1): 24-37 (2012) - [j1]Jizhou Zhan, Xianzhong Zhou, Jiabao Zhao:
Impact of Software Complexity on Development Productivity. Int. J. Softw. Eng. Knowl. Eng. 22(8): 1103-1122 (2012) - [c3]Huaxiong Li, Xianzhong Zhou, Jiabao Zhao, Bing Huang:
Cost-Sensitive Classification Based on Decision-Theoretic Rough Set Model. RSKT 2012: 379-388 - 2011
- [c2]Huaxiong Li, Xianzhong Zhou, Jiabao Zhao, Dun Liu:
Attribute Reduction in Decision-Theoretic Rough Set Model: A Further Investigation. RSKT 2011: 466-475
2000 – 2009
- 2007
- [c1]Xianzhong Zhou, Zhaohan Sheng, Jiabao Zhao, Haifeng Ling, Yunzhang Hou:
Dynamic Project Management and its Application on Emergency Response System. ICNSC 2007: 205-208
Coauthor Index
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last updated on 2024-11-14 00:56 CET by the dblp team
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