Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis. - Jiang Bian 003; Laura E. Barnes; Guanling Chen; Haoyi Xiong (BHI, 2017)

Multi-party Sparse Discriminant Learning. - Jiang Bian 003; Haoyi Xiong; Wei Cheng 002; Wenqing Hu; Zhishan Guo; Yanjie Fu (ICDM, 2017)

AWDA: An Adaptive Wishart Discriminant Analysis. - Haoyi Xiong; Wei Cheng 002; Wenqing Hu; Jiang Bian 003; Zhishan Guo (ICDM, 2017)

FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification. - Haoyi Xiong; Wei Cheng 002; Wenqing Hu; Jiang Bian 003; Zhishan Guo (CoRR, 2017)

CSWA: Aggregation-Free Spatial-Temporal Community Sensing. - Jiang Bian 003; Haoyi Xiong; Yanjie Fu; Sajal K. Das 001 (AAAI, 2018)

De-biasing Covariance-Regularized Discriminant Analysis. - Haoyi Xiong; Wei Cheng 002; Yanjie Fu; Wenqing Hu; Jiang Bian 003; Zhishan Guo (IJCAI, 2018)

SpHMC: Spectral Hamiltonian Monte Carlo. - Haoyi Xiong; Kafeng Wang; Jiang Bian 003; Zhanxing Zhu; Cheng-Zhong Xu 001; Zhishan Guo; Jun Huan (AAAI, 2019)

On Generating Dominators of Customer Preferences. - Jiang Bian 003; Weibo Wang 008; Xiang Zhang 001; Wei Wang 010; Arthur Huang; Zhishan Guo (IEEE BigData, 2019)

Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems. - Ashkan Farhangi; Jiang Bian 003; Jun Wang 001; Zhishan Guo (RTSS, 2019)

EdgeSense: Edge-Mediated Spatial- Temporal Crowdsensing. - Sijia Yang; Jiang Bian 003; Licheng Wang; Haojin Zhu; Yanjie Fu; Haoyi Xiong (IEEE Access, 2019)

$ mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing. - Haoyi Xiong; Wei Cheng 002; Jiang Bian 003; Wenqing Hu; Zeyi Sun 001; Zhishan Guo (IEEE Trans. Neural Networks Learn. Syst., 2019)

Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities. - Sudharsan Vaidhun; Zhishan Guo; Jiang Bian 003; Haoyi Xiong; Sajal K. Das 001 (ICACI, 2020)

MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. - Jiang Bian 003; Haoyi Xiong; Yanjie Fu; Jun Huan; Zhishan Guo (ACM Trans. Knowl. Discov. Data, 2020)

Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases. - Sijia Yang; Haoyi Xiong; Kaibo Xu; Licheng Wang; Jiang Bian 003; Zeyi Sun 001 (Appl. Intell., 2021)

Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. - Xuhong Li 002; Haoyi Xiong; Xingjian Li 002; Xuanyu Wu; Xiao Zhang 001; Ji Liu 003; Jiang Bian 003; Dejing Dou (CoRR, 2021)

MODES: model-based optimization on distributed embedded systems. - Junjie Shi; Jiang Bian 003; Jakob Richter; Kuan-Hsun Chen; Jörg Rahnenführer; Haoyi Xiong; Jian-Jia Chen (Mach. Learn., 2021)

CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. - Jiang Bian 003; Sijia Yang; Haoyi Xiong; Licheng Wang; Yanjie Fu; Zeyi Sun 001; Zhishan Guo; Jun Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. - Kafeng Wang; Haoyi Xiong; Jiang Bian 003; Zhanxing Zhu; Qian Gao; Zhishan Guo; Cheng-Zhong Xu 001; Jun Huan; Dejing Dou (ACM Trans. Knowl. Discov. Data, 2021)

COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut. - Baoxin Zhao; Haoyi Xiong; Jiang Bian 003; Zhishan Guo; Cheng-Zhong Xu 001; Dejing Dou (IEEE Trans. Multim., 2021)

Practical Strategies of Active Learning to Rank for Web Search. - Qingzhong Wang; Haifang Li 003; Haoyi Xiong; Wen Wang; Jiang Bian 003; Yu Lu; Shuaiqiang Wang; Zhicong Cheng; Jingbo Zhou; Dawei Yin; Dejing Dou (CoRR, 2022)

P2A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. - Jiang Bian 003; Qingzhong Wang; Haoyi Xiong; Jun Huang; Chen Liu; Xuhong Li 002; Jun Cheng; Jun Zhao; Feixiang Lu; Dejing Dou (CoRR, 2022)

GLARE: A Dataset for Traffic Sign Detection in Sun Glare. - Nicholas Gray; Megan Moraes; Jiang Bian 003; Allen Tian; Alex Wang; Haoyi Xiong; Zhishan Guo (CoRR, 2022)

Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. - Jiang Bian 003; Abdullah Al Arafat; Haoyi Xiong; Jing Li 025; Li Li 064; Hongyang Chen; Jun Wang 001; Dejing Dou; Zhishan Guo (IEEE Internet Things J., 2022)

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. - Xuhong Li 002; Haoyi Xiong; Xingjian Li 002; Xuanyu Wu; Xiao Zhang 001; Ji Liu 003; Jiang Bian 003; Dejing Dou (Knowl. Inf. Syst., 2022)

Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints. - Sudharsan Vaidhun; Zhishan Guo; Jiang Bian 003; Haoyi Xiong; Sajal K. Das 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. - Qingrui Jia; Xuhong Li 002; Lei Yu; Jiang Bian 003; Penghao Zhao; Shupeng Li; Haoyi Xiong; Dejing Dou (AAAI, 2023)

Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks. - Yuxuan Zhang; Qingzhong Wang; Jiang Bian 003; Yi Liu 040; Yanwu Xu 001; Dejing Dou; Haoyi Xiong (ISBI, 2023)

PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. - Xuewu Jiao; Weibin Li; Xinxuan Wu; Wei Hu; Miao Li; Jiang Bian 003; Siming Dai; Xinsheng Luo; Mingqing Hu; Zhengjie Huang; Danlei Feng; Junchao Yang; et al. (KDD, 2023)

Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization. - Ziqi Wen; Qingzhong Wang; Jiang Bian 003; Xuhong Li 002; Yi Liu 040; Haoyi Xiong (MIUA, 2023)

Natural Language based Context Modeling and Reasoning with LLMs: A Tutorial. - Haoyi Xiong; Jiang Bian 003; Sijia Yang; Xiaofei Zhang; Linghe Kong; Daqing Zhang 001 (CoRR, 2023)

TiC: Exploring Vision Transformer in Convolution. - Song Zhang; Qingzhong Wang; Jiang Bian 003; Haoyi Xiong (CoRR, 2023)

A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications. - Fei Wu; Qingzhong Wang; Jiang Bian 003; Ning Ding; Feixiang Lu; Jun Cheng; Dejing Dou; Haoyi Xiong (IEEE Trans. Multim., 2023)

Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation. - Jiang Bian 003; Jizhou Huang; Shilei Ji; Yuan Liao; Xuhong Li 002; Qingzhong Wang; Jingbo Zhou; Dejing Dou; Yaqing Wang 002; Haoyi Xiong (IEEE Trans. Serv. Comput., 2023)

AA-forecast: anomaly-aware forecast for extreme events. - Ashkan Farhangi; Jiang Bian 003; Arthur Huang; Haoyi Xiong; Jun Wang 001; Zhishan Guo (Data Min. Knowl. Discov., 2023)

$ mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing. - Jiang Bian 003; Haoyi Xiong; Zhiyuan Wang 003; Jingbo Zhou; Shilei Ji; Hongyang Chen; Daqing Zhang 001; Dejing Dou (IEEE Trans. Mob. Comput., 2023)

GLARE: A Dataset for Traffic Sign Detection in Sun Glare. - Nicholas Gray; Megan Moraes; Jiang Bian 003; Alex Wang; Allen Tian; Kurt M. Wilson; Yan Huang; Haoyi Xiong; Zhishan Guo (IEEE Trans. Intell. Transp. Syst., 2023)

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. - Yuchen Li 006; Haoyi Xiong; Qingzhong Wang; Linghe Kong; Hao Liu 026; Haifang Li 003; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dejing Dou; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2023)

A Multi-Node Multi-GPU Distributed GNN Training Framework for Large-Scale Online Advertising. - Xuewu Jiao; Xinsheng Luo; Miao Li; Jiang Bian 003; Junchao Yang; Wei Hu; Mingqing Hu; Weipeng Lu; Shikun Feng; Danlei Feng; Dongxu Yang; Haoyi Xiong; et al. (CIKM, 2024)

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin (IJCAI, 2024)

Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents. - Haoyi Xiong; Zhiyuan Wang 003; Xuhong Li 002; Jiang Bian 003; Zeke Xie; Shahid Mumtaz; Laura E. Barnes (CoRR, 2024)

Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned. - Yuan Liao; Jiang Bian 003; Yuhui Yun; Shuo Wang; Yubo Zhang; Jiaming Chu; Tao Wang; Kewei Li; Yuchen Li 006; Xuhong Li 002; Shilei Ji; Haoyi Xiong (CoRR, 2024)

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin (CoRR, 2024)

Pre-trained Molecular Language Models with Random Functional Group Masking. - Tianhao Peng 002; Yuchen Li 006; Xuhong Li 002; Jiang Bian 003; Zeke Xie; Ning Sui; Shahid Mumtaz; Yanwu Xu 001; Linghe Kong; Haoyi Xiong (CoRR, 2024)

Correction to: AA-forecast: anomaly-aware forecast for extreme events. - Ashkan Farhangi; Jiang Bian 003; Arthur Huang; Haoyi Xiong; Jun Wang 001; Zhishan Guo (Data Min. Knowl. Discov., 2024)

Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning. - Ning Wang 004; Jiang Bian 003; Yuchen Li 006; Xuhong Li 002; Shahid Mumtaz; Linghe Kong; Haoyi Xiong (Nat. Mac. Intell., 2024)

When Search Engine Services Meet Large Language Models: Visions and Challenges. - Haoyi Xiong; Jiang Bian 003; Yuchen Li 006; Xuhong Li 002; Mengnan Du; Shuaiqiang Wang; Dawei Yin; Sumi Helal (IEEE Trans. Serv. Comput., 2024)

MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services. - Dianhai Yu; Liang Shen; Hongxiang Hao; Weibao Gong; HuaChao Wu; Jiang Bian 003; Lirong Dai 001; Haoyi Xiong (IEEE Trans. Serv. Comput., 2024)

A Simple yet Effective Framework for Active Learning to Rank. - Qingzhong Wang; Haifang Li 003; Haoyi Xiong; Wen Wang; Jiang Bian 003; Yu Lu; Shuaiqiang Wang; Zhicong Cheng; Dejing Dou; Dawei Yin (Mach. Intell. Res., 2024)

P2ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. - Jiang Bian 003; Xuhong Li 002; Tao Wang; Qingzhong Wang; Jun Huang; Chen Liu; Jun Zhao; Feixiang Lu; Dejing Dou; Haoyi Xiong (ACM Trans. Multim. Comput. Commun. Appl., 2024)

GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin (Mach. Learn., 2024)

RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. - Yuchen Li 006; Haoyi Xiong; Yongqi Zhang; Jiang Bian 003; Tianhao Peng 002; Xuhong Li 002; Shuaiqiang Wang; Linghe Kong; Dawei Yin (KDD (1), 2025)

Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey. - Shengyue Guan; Haoyi Xiong; Jindong Wang; Jiang Bian 003; Bin Zhu; Jian-guang Lou (CoRR, 2025)