Flexible aggregate similarity search. - Yang Li 106; Feifei Li 001; Ke Yi 001; Bin Yao 002; Min Wang 001 (SIGMOD Conference, 2011)

Exact and approximate flexible aggregate similarity search. - Feifei Li 001; Ke Yi 001; Yufei Tao 001; Bin Yao 002; Yang Li 106; Dong Xie 001; Min Wang 001 (VLDB J., 2016)

Efficient Automatic CASH via Rising Bandits. - Yang Li 106; Jiawei Jiang 001; Jinyang Gao; Yingxia Shao; Ce Zhang 001; Bin Cui 001 (AAAI, 2020)

MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. - Yang Li 106; Yu Shen 003; Jiawei Jiang 001; Jinyang Gao; Ce Zhang 001; Bin Cui 001 (AAAI, 2021)

Ease.ML: A Lifecycle Management System for Machine Learning. - Leonel Aguilar Melgar; David Dao; Shaoduo Gan; Nezihe Merve Gürel; Nora Hollenstein; Jiawei Jiang 001; Bojan Karlas; Thomas Lemmin; Tian Li 005; Yang Li 106; Susie Xi Rao; Johannes Rausch; et al. (CIDR, 2021)

OpenBox: A Generalized Black-box Optimization Service. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Yuanwei Chen; Huaijun Jiang; Mingchao Liu 001; Jiawei Jiang 001; Jinyang Gao; Wentao Wu 001; Zhi Yang 001; Ce Zhang 001; Bin Cui 001 (KDD, 2021)

ROD: Reception-aware Online Distillation for Sparse Graphs. - Wentao Zhang 001; Yuezihan Jiang; Yang Li 106; Zeang Sheng; Yu Shen 003; Xupeng Miao; Liang Wang 001; Zhi Yang 001; Bin Cui 001 (KDD, 2021)

Node Dependent Local Smoothing for Scalable Graph Learning. - Wentao Zhang 001; Mingyu Yang; Zeang Sheng; Yang Li 106; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (NeurIPS, 2021)

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. - Wentao Zhang 001; Yu Shen 003; Yang Li 106; Lei Chen 002; Zhi Yang 001; Bin Cui 001 (SIGMOD Conference, 2021)

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. - Wentao Zhang 001; Yu Shen 003; Zheyu Lin; Yang Li 106; Xiaosen Li; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (CoRR, 2021)

Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup. - Huaijun Jiang; Yu Shen 003; Yang Li 106 (CoRR, 2021)

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks. - Xiang Huang; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Bingya Weng; Min Wang 037; Haotian Chu; Jing Zhou; Fan Yu; Bei Hua; et al. (CoRR, 2021)

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. - Xiang Huang; Zhanhong Ye; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Bingya Weng; Min Wang 037; Haotian Chu; Jing Zhou; Fan Yu; et al. (CoRR, 2021)

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Jiawei Jiang 001; Yaliang Li; Bolin Ding; Jingren Zhou 001; Zhi Yang 001; Wentao Wu 001; Ce Zhang 001; Bin Cui 001 (Proc. VLDB Endow., 2021)

Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. - Wentao Zhang 001; Zhi Yang 001; Yexin Wang; Yu Shen 003; Yang Li 106; Liang Wang 001; Bin Cui 001 (Proc. VLDB Endow., 2021)

Deep and Flexible Graph Neural Architecture Search. - Wentao Zhang 001; Zheyu Lin; Yu Shen 003; Yang Li 106; Zhi Yang 001; Bin Cui 001 (ICML, 2022)

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. - Wentao Zhang 001; Zeang Sheng; Mingyu Yang; Yang Li 106; Yu Shen 003; Zhi Yang 001; Bin Cui 001 (ICML, 2022)

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source. - Xiang Huang; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Min Wang 037; Haotian Chu; Jing Zhou; Fan Yu; Bei Hua; Bin Dong 001; et al. (IJCAI, 2022)

Research on Citizenization of the New Generation of Migrant Workers from the Perspective of Employment Policy Based on Grounded theory and DEA model. - Yang Li 106; Gong Chen (ISBDAI, 2022)

Transfer Learning based Search Space Design for Hyperparameter Tuning. - Yang Li 106; Yu Shen 003; Huaijun Jiang; Tianyi Bai; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (KDD, 2022)

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. - Yang Li 106; Yu Shen 003; Huaijun Jiang; Wentao Zhang 001; Zhi Yang 001; Ce Zhang 001; Bin Cui 001 (KDD, 2022)

Graph Attention Multi-Layer Perceptron. - Wentao Zhang 001; Ziqi Yin; Zeang Sheng; Yang Li 106; Wen Ouyang; Xiaosen Li; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (KDD, 2022)

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. - Xiang Huang; Zhanhong Ye; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Min Wang 037; Haotian Chu; Fan Yu; Bei Hua; Lei Chen 002; et al. (NeurIPS, 2022)

DivBO: Diversity-aware CASH for Ensemble Learning. - Yu Shen 003; Yupeng Lu; Yang Li 106; Yaofeng Tu; Wentao Zhang 001; Bin Cui 001 (NeurIPS, 2022)

Towards Dynamic and Safe Configuration Tuning for Cloud Databases. - Xinyi Zhang 002; Hong Wu; Yang Li 106; Jian Tan 001; Feifei Li 001; Bin Cui 001 (SIGMOD Conference, 2022)

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. - Wentao Zhang 001; Yu Shen 003; Zheyu Lin; Yang Li 106; Xiaosen Li; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (WWW, 2022)

AutoDC: an automatic machine learning framework for disease classification. - Yang Bai; Yang Li 106; Yu Shen 003; Mingyu Yang; Wentao Zhang 001; Bin Cui 001 (Bioinform., 2022)

DFG-NAS: Deep and Flexible Graph Neural Architecture Search. - Wentao Zhang 001; Zheyu Lin; Yu Shen 003; Yang Li 106; Zhi Yang 001; Bin Cui 001 (CoRR, 2022)

Efficient End-to-End AutoML via Scalable Search Space Decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (CoRR, 2022)

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. - Yang Li 106; Yu Shen 003; Huaijun Jiang; Wentao Zhang 001; Jixiang Li; Ji Liu 002; Ce Zhang 001; Bin Cui 001 (Proc. VLDB Endow., 2022)

Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation. - Xinyi Zhang 002; Zhuo Chang; Yang Li 106; Hong Wu; Jian Tan 001; Feifei Li 001; Bin Cui 001 (Proc. VLDB Endow., 2022)

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. - Yu Shen 003; Yang Li 106; Jian Zheng; Wentao Zhang 001; Peng Yao; Jixiang Li; Sen Yang 004; Ji Liu 002; Bin Cui 001 (AAAI, 2023)

Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning. - Yu Shen 003; Xinyuyang Ren; Yupeng Lu; Huaijun Jiang; Huanyong Xu; Di Peng; Yang Li 106; Wentao Zhang 001; Bin Cui 001 (KDD, 2023)

Transfer Learning for Bayesian Optimization: A Survey. - Tianyi Bai; Yang Li 106; Yu Shen 003; Xinyi Zhang 002; Wentao Zhang 001; Bin Cui 001 (CoRR, 2023)

OpenBox: A Python Toolkit for Generalized Black-box Optimization. - Huaijun Jiang; Yu Shen 003; Yang Li 106; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (CoRR, 2023)

A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning. - Xinyi Zhang 002; Zhuo Chang; Hong Wu; Yang Li 106; Jia Chen 030; Jian Tan 001; Feifei Li 001; Bin Cui 001 (Proc. ACM Manag. Data, 2023)

Towards General and Efficient Online Tuning for Spark. - Yang Li 106; Huaijun Jiang; Yu Shen 003; Yide Fang; Xiaofeng Yang; Danqing Huang; Xinyi Zhang 002; Wentao Zhang 001; Ce Zhang 001; Peng Chen; Bin Cui 001 (Proc. VLDB Endow., 2023)

VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (VLDB J., 2023)

An Efficient Transfer Learning Based Configuration Adviser for Database Tuning. - Xinyi Zhang 002; Hong Wu; Yang Li 106; Zhengju Tang; Jian Tan 001; Feifei Li 001; Bin Cui 001 (Proc. VLDB Endow., 2023)

MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian Optimization. - Zhuo Chang; Xinyi Zhang 002; Yang Li 106; Xupeng Miao; Yanzhao Qin; Bin Cui 001 (ICDE, 2024)

NewSP: A New Search Process for Continuous Subgraph Matching over Dynamic Graphs. - Ziming Li 004; Youhuan Li; Xinhuan Chen; Lei Zou 001; Yang Li 106; Xiaofeng Yang; Hongbo Jiang 001 (ICDE, 2024)

NC-ALG: Graph-Based Active Learning Under Noisy Crowd. - Wentao Zhang 001; Yexin Wang; Zhenbang You; Yang Li 106; Gang Cao; Zhi Yang 001; Bin Cui 001 (ICDE, 2024)

SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models. - Jie Jiang 015; Haining Xie; Yu Shen 003; Zihan Zhang; Meng Lei; Yifeng Zheng; Yide Fang; Chunyou Li; Danqing Huang; Wentao Zhang 001; Yang Li 106; Xiaofeng Yang; et al. (CoRR, 2024)

OpenBox: A Python Toolkit for Generalized Black-box Optimization. - Huaijun Jiang; Yu Shen 003; Yang Li 106; Beicheng Xu; Sixian Du; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (J. Mach. Learn. Res., 2024)

DataLab: A Unified Platform for LLM-Powered Business Intelligence. - Luoxuan Weng; Yinghao Tang; Yingchaojie Feng; Zhuo Chang; Ruiqin Chen; Haozhe Feng; Chen Hou; Danqing Huang; Yang Li 106; Huaming Rao; Haonan Wang; Canshi Wei; et al. (ICDE, 2025)

Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent. - Zihao Chen; Jiazhi Jiang; Jiangang Liu; Chao Zhang; Yuqi Diao; Yang Li 106; Hanmei Luo; Peng Chen (SIGMOD Conference Companion, 2025)

SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence. - Jie Jiang 015; Haining Xie; Siqi Shen; Yu Shen 003; Zihan Zhang; Meng Lei; Yifeng Zheng; Yang Li 106; Chunyou Li; Danqing Huang; Yinjun Wu; Wentao Zhang 001; et al. (Proc. VLDB Endow., 2025)

SQLGovernor: An LLM-powered SQL Toolkit for Real World Application. - Jie Jiang 015; Siqi Shen; Haining Xie; Yang Li 106; Yu Shen 003; Danqing Huang; Bo Qian; Yinjun Wu; Wentao Zhang 001; Bin Cui 001; Peng Chen (CoRR, 2025)