Jiang Bian

60 papers A* 8A 2B 1Journal 43Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
SageCopilot: An LLM-Empowered Autonomous Agent for Data Science as a Service.
IEEE Trans. Serv. Comput.
Yuan Liao, Jiang Bian, Yuhui Yun, Shuo Wang, Yubo Zhang, Jiaming Chu, Tao Wang, Yuchen Li, Xuhong Li, Shilei Ji, Haoyi Xiong
2025 J jnl
Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey.
CoRR
Shengyue Guan, Haoyi Xiong, Jindong Wang, Jiang Bian, Bin Zhu, Jian-Guang Lou
2025 — conf
RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search.
KDD (1)
Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin
2024 A conf
A Multi-Node Multi-GPU Distributed GNN Training Framework for Large-Scale Online Advertising.
CIKM
Xuewu Jiao, Xinsheng Luo, Miao Li, Jiang Bian, Junchao Yang, Wei Hu, Mingqing Hu, Weipeng Lu, Shikun Feng, Danlei Feng, Dongxu Yang, Haoyi Xiong, Shuanglong Li, Lin Liu
2024 J jnl
A Simple yet Effective Framework for Active Learning to Rank.
Mach. Intell. Res.
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin
2024 J jnl
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents.
CoRR
Haoyi Xiong, Zhiyuan Wang, Xuhong Li, Jiang Bian, Zeke Xie, Shahid Mumtaz, Laura E. Barnes
2024 J jnl
Correction to: AA-forecast: anomaly-aware forecast for extreme events.
Data Min. Knowl. Discov.
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
2024 J jnl
GS
Mach. Learn.
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2024 A* conf
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract).
IJCAI
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2024 J jnl
Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract).
CoRR
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2024 J jnl
MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services.
IEEE Trans. Serv. Comput.
Dianhai Yu, Liang Shen, Hongxiang Hao, Weibao Gong, HuaChao Wu, Jiang Bian, Lirong Dai, Haoyi Xiong
2024 J jnl
Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning.
Nat. Mac. Intell.
Ning Wang, Jiang Bian, Yuchen Li, Xuhong Li, Shahid Mumtaz, Linghe Kong, Haoyi Xiong
2024 J jnl
P
ACM Trans. Multim. Comput. Commun. Appl.
Jiang Bian, Xuhong Li, Tao Wang, Qingzhong Wang, Jun Huang, Chen Liu, Jun Zhao, Feixiang Lu, Dejing Dou, Haoyi Xiong
2024 J jnl
Pre-trained Molecular Language Models with Random Functional Group Masking.
CoRR
Tianhao Peng, Yuchen Li, Xuhong Li, Jiang Bian, Zeke Xie, Ning Sui, Shahid Mumtaz, Yanwu Xu, Linghe Kong, Haoyi Xiong
2024 J jnl
Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned.
CoRR
Yuan Liao, Jiang Bian, Yuhui Yun, Shuo Wang, Yubo Zhang, Jiaming Chu, Tao Wang, Kewei Li, Yuchen Li, Xuhong Li, Shilei Ji, Haoyi Xiong
2024 J jnl
When Search Engine Services Meet Large Language Models: Visions and Challenges.
IEEE Trans. Serv. Comput.
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
2024 J jnl
When Search Engine Services meet Large Language Models: Visions and Challenges.
CoRR
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
2023 J jnl
$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing.
IEEE Trans. Mob. Comput.
Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, Dejing Dou
2023 J jnl
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications.
IEEE Trans. Multim.
Fei Wu, Qingzhong Wang, Jiang Bian, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou, Haoyi Xiong
2023 J jnl
AA-forecast: anomaly-aware forecast for extreme events.
Data Min. Knowl. Discov.
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
2023 J jnl
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
IEEE Trans. Knowl. Data Eng.
Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin
2023 — conf
Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization.
MIUA
Ziqi Wen, Qingzhong Wang, Jiang Bian, Xuhong Li, Yi Liu, Haoyi Xiong
2023 J jnl
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.
IEEE Trans. Serv. Comput.
Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong
2023 J jnl
GLARE: A Dataset for Traffic Sign Detection in Sun Glare.
IEEE Trans. Intell. Transp. Syst.
Nicholas Gray, Megan Moraes, Jiang Bian, Alex Wang, Allen Tian, Kurt M. Wilson, Yan Huang, Haoyi Xiong, Zhishan Guo
2023 B conf
GS
DSAA
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2023 A* conf
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features.
AAAI
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
2023 J jnl
Natural Language based Context Modeling and Reasoning with LLMs: A Tutorial.
CoRR
Haoyi Xiong, Jiang Bian, Sijia Yang, Xiaofei Zhang, Linghe Kong, Daqing Zhang
2023 A* conf
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation.
KDD
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
2023 J jnl
TiC: Exploring Vision Transformer in Convolution.
CoRR
Song Zhang, Qingzhong Wang, Jiang Bian, Haoyi Xiong
2023 — conf
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks.
ISBI
Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong
2023 J jnl
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks.
CoRR
Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong
2022 J jnl
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications.
CoRR
Fei Wu, Qingzhong Wang, Jiang Bian, Haoyi Xiong, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou
2022 J jnl
AA-Forecast: Anomaly-Aware Forecast for Extreme Events.
CoRR
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
2022 J jnl
Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints.
IEEE Trans. Emerg. Top. Comput. Intell.
Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, Sajal K. Das
2022 J jnl
GLARE: A Dataset for Traffic Sign Detection in Sun Glare.
CoRR
Nicholas Gray, Megan Moraes, Jiang Bian, Allen Tian, Alex Wang, Haoyi Xiong, Zhishan Guo
2022 J jnl
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.
Knowl. Inf. Syst.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2022 J jnl
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features.
CoRR
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
2022 J jnl
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey.
IEEE Internet Things J.
Jiang Bian, Abdullah Al Arafat, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Jun Wang, Dejing Dou, Zhishan Guo
2022 J jnl
P
CoRR
Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou
2022 J jnl
Practical Strategies of Active Learning to Rank for Web Search.
CoRR
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou
2021 J jnl
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut.
IEEE Trans. Multim.
Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou
2021 J jnl
CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Jiang Bian, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo, Jun Wang
2021 J jnl
Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases.
Appl. Intell.
Sijia Yang, Haoyi Xiong, Kaibo Xu, Licheng Wang, Jiang Bian, Zeyi Sun
2021 J jnl
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.
CoRR
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2021 J jnl
MODES: model-based optimization on distributed embedded systems.
Mach. Learn.
Junjie Shi, Jiang Bian, Jakob Richter, Kuan-Hsun Chen, Jörg Rahnenführer, Haoyi Xiong, Jian-Jia Chen
2021 J jnl
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics.
ACM Trans. Knowl. Discov. Data
Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou
2020 J jnl
MP
ACM Trans. Knowl. Discov. Data
Jiang Bian, Haoyi Xiong, Yanjie Fu, Jun Huan, Zhishan Guo
2020 — conf
Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities.
ICACI
Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, Sajal K. Das
2019 J jnl
$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing.
IEEE Trans. Neural Networks Learn. Syst.
Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, Zhishan Guo
2019 J jnl
EdgeSense: Edge-Mediated Spatial- Temporal Crowdsensing.
IEEE Access
Sijia Yang, Jiang Bian, Licheng Wang, Haojin Zhu, Yanjie Fu, Haoyi Xiong
2019 — conf
On Generating Dominators of Customer Preferences.
IEEE BigData
Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, Zhishan Guo
2019 A* conf
SpHMC: Spectral Hamiltonian Monte Carlo.
AAAI
Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan
2019 A conf
Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems.
RTSS
Ashkan Farhangi, Jiang Bian, Jun Wang, Zhishan Guo
2018 A* conf
CSWA: Aggregation-Free Spatial-Temporal Community Sensing.
AAAI
Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das
2018 A* conf
De-biasing Covariance-Regularized Discriminant Analysis.
IJCAI
Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo
2017 A* conf
AWDA: An Adaptive Wishart Discriminant Analysis.
ICDM
Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo
2017 J jnl
CSWA: Aggregation-Free Spatial-Temporal Community Sensing.
CoRR
Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das
2017 — conf
Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis.
BHI
Jiang Bian, Laura E. Barnes, Guanling Chen, Haoyi Xiong
2017 J jnl
FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification.
CoRR
Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo
2017 A* conf
Multi-party Sparse Discriminant Learning.
ICDM
Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu