Jiang Bian

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 43

Top Topics

Early Detection

Histopathology Images

Discriminant Analysis

Top Venues

ACM Trans. Knowl. Discov. Data

IEEE Trans. Multim.

Data Min. Knowl. Discov.

Publications

Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
P: a generative pre-trained learning to rank model with over-parameterization for web-scale search. Mach. Learn. 113 (8) (2024)
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin
A Simple yet Effective Framework for Active Learning to Rank. Mach. Intell. Res. 21 (1) (2024)
Haoyi Xiong, Zhiyuan Wang, Xuhong Li, Jiang Bian, Zeke Xie, Shahid Mumtaz, Laura E. Barnes
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents. CoRR (2024)
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
When Search Engine Services meet Large Language Models: Visions and Challenges. CoRR (2024)
Jiang Bian, Xuhong Li, Tao Wang, Qingzhong Wang, Jun Huang, Chen Liu, Jun Zhao, Feixiang Lu, Dejing Dou, Haoyi Xiong
ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. ACM Trans. Multim. Comput. Commun. Appl. 20 (4) (2024)
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
Correction to: AA-forecast: anomaly-aware forecast for extreme events. Data Min. Knowl. Discov. 38 (2) (2024)
Ning Wang, Jiang Bian, Yuchen Li, Xuhong Li, Shahid Mumtaz, Linghe Kong, Haoyi Xiong
Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning. Nat. Mac. Intell. 6 (5) (2024)
Yuan Liao, Jiang Bian, Yuhui Yun, Shuo Wang, Yubo Zhang, Jiaming Chu, Tao Wang, Kewei Li, Yuchen Li, Xuhong Li, Shilei Ji, Haoyi Xiong
Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned. CoRR (2024)
Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks. ISBI (2023)
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
AA-forecast: anomaly-aware forecast for extreme events. Data Min. Knowl. Discov. 37 (3) (2023)
Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, Dejing Dou
$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing. IEEE Trans. Mob. Comput. 22 (9) (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. DSAA (2023)
Song Zhang, Qingzhong Wang, Jiang Bian, Haoyi Xiong
TiC: Exploring Vision Transformer in Convolution. CoRR (2023)
Fei Wu, Qingzhong Wang, Jiang Bian, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou, Haoyi Xiong
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications. IEEE Trans. Multim. 25 (2023)
Nicholas Gray, Megan Moraes, Jiang Bian, Alex Wang, Allen Tian, Kurt M. Wilson, Yan Huang, Haoyi Xiong, Zhishan Guo
GLARE: A Dataset for Traffic Sign Detection in Sun Glare. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Haoyi Xiong, Jiang Bian, Sijia Yang, Xiaofei Zhang, Linghe Kong, Daqing Zhang
Natural Language based Context Modeling and Reasoning with LLMs: A Tutorial. CoRR (2023)
Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation. IEEE Trans. Serv. Comput. 16 (5) (2023)
Ziqi Wen, Qingzhong Wang, Jiang Bian, Xuhong Li, Yi Liu, Haoyi Xiong
Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization. MIUA (2023)
Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. KDD (2023)
Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, Sajal K. Das
Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints. IEEE Trans. Emerg. Top. Comput. Intell. 6 (4) (2022)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. Knowl. Inf. Syst. 64 (12) (2022)
Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou
A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. CoRR (2022)
Jiang Bian, Abdullah Al Arafat, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Jun Wang, Dejing Dou, Zhishan Guo
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. IEEE Internet Things J. 9 (11) (2022)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR (2021)
Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut. IEEE Trans. Multim. 23 (2021)
Jiang Bian, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo, Jun Wang
CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. IEEE Trans. Emerg. Top. Comput. Intell. 5 (4) (2021)
Sijia Yang, Haoyi Xiong, Kaibo Xu, Licheng Wang, Jiang Bian, Zeyi Sun
Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases. Appl. Intell. 51 (1) (2021)
Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. ACM Trans. Knowl. Discov. Data 15 (2) (2021)
Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, Sajal K. Das
Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities. ICACI (2020)
Jiang Bian, Haoyi Xiong, Yanjie Fu, Jun Huan, Zhishan Guo
SDA: Multi-Party Parallelized Sparse Discriminant Learning. ACM Trans. Knowl. Discov. Data 14 (3) (2020)
Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan
SpHMC: Spectral Hamiltonian Monte Carlo. AAAI (2019)
Ashkan Farhangi, Jiang Bian, Jun Wang, Zhishan Guo
Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems. RTSS (2019)
Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, Zhishan Guo
$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing. IEEE Trans. Neural Networks Learn. Syst. 30 (3) (2019)
Sijia Yang, Jiang Bian, Licheng Wang, Haojin Zhu, Yanjie Fu, Haoyi Xiong
EdgeSense: Edge-Mediated Spatial- Temporal Crowdsensing. IEEE Access 7 (2019)
Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, Zhishan Guo
On Generating Dominators of Customer Preferences. IEEE BigData (2019)
Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das
CSWA: Aggregation-Free Spatial-Temporal Community Sensing. AAAI (2018)
Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo
De-biasing Covariance-Regularized Discriminant Analysis. IJCAI (2018)
Jiang Bian, Laura E. Barnes, Guanling Chen, Haoyi Xiong
Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis. BHI (2017)
Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo
AWDA: An Adaptive Wishart Discriminant Analysis. ICDM (2017)
Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das
CSWA: Aggregation-Free Spatial-Temporal Community Sensing. CoRR (2017)
Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu
Multi-party Sparse Discriminant Learning. ICDM (2017)
Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo
FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification. CoRR (2017)