Haoyang Bi

16 papers A* 5Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.
CoRR
Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen
2024 J jnl
A Diffusion-Based Cognitive Diagnosis Framework for Robust Learner Assessment.
IEEE Trans. Learn. Technol.
Guanhao Zhao, Zhenya Huang, Yan Zhuang, Haoyang Bi, Yiyan Wang, Fei Wang, Zhiyuan Ma, Yixia Zhao
2024 J jnl
Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation.
IEEE Trans. Circuits Syst. Video Technol.
Weihao Zhao, Han Wu, Weidong He, Haoyang Bi, Hao Wang, Chen Zhu, Tong Xu, Enhong Chen
2024 — conf
MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction.
LREC/COLING
Weihao Zhao, Weidong He, Hao Wang, Haoyang Bi, Han Wu, Chen Zhu, Tong Xu, Enhong Chen
2024 — conf
Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework.
DASFAA (4)
Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng
2024 J jnl
Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings.
ACM Trans. Intell. Syst. Technol.
Haoyang Bi, Qi Liu, Han Wu, Weidong He, Zhenya Huang, Yu Yin, Haiping Ma, Yu Su, Shijin Wang, Enhong Chen
2024 J jnl
Survey of Computerized Adaptive Testing: A Machine Learning Perspective.
CoRR
Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen
2024 A* conf
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives.
AAAI
Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He
2023 A* conf
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning.
AAAI
Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu
2023 — conf
Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction.
CICAI (1)
Xin Jin, Qi Liu, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi
2023 J jnl
Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives.
CoRR
Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He
2022 A* conf
A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval.
SIGIR
Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang
2021 J jnl
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing.
CoRR
Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang
2021 A* conf
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems.
SIGIR
Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su
2021 — conf
Stable and Diverse: A Unified Approach for Computerized Adaptive Testing.
CCIS
Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen, Dan Zhang
2020 A* conf
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing.
ICDM
Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang