AGREE: Attention-Based Tour Group Recommendation with Multi-modal Data. - Fang Hu 002; Xiuqi Huang; Xiaofeng Gao 001; Guihai Chen (DASFAA (3), 2019)

NETR-Tree: An Efficient Framework for Social-Based Time-Aware Spatial Keyword Query. - Xiuqi Huang; Yuanning Gao; Xiaofeng Gao 001; Guihai Chen (ICWS, 2021)

TEALED: A Multi-Step Workload Forecasting Approach Using Time-Sensitive EMD and Auto LSTM Encoder-Decoder. - Xiuqi Huang; Yunlong Cheng; Xiaofeng Gao 001; Guihai Chen (DASFAA (2), 2022)

LightPro: Lightweight Probabilistic Workload Prediction Framework for Database-as-a-Service. - Xiuqi Huang; Shiyi Cao; Yuanning Gao; Xiaofeng Gao 001; Guihai Chen (ICWS, 2022)

Multi-Candidate Carpooling Routing Problem and Its Approximation Algorithms. - Jiale Zhang; Xiuqi Huang; Zifeng Liu; Xiaofeng Gao 001; Guihai Chen (COCOA (1), 2023)

DBAugur: An Adversarial-based Trend Forecasting System for Diversified Workloads. - Yuanning Gao; Xiuqi Huang; Xuanhe Zhou; Xiaofeng Gao 001; Guoliang Li 001; Guihai Chen (ICDE, 2023)

ExpoEv: Enhancing Social Recommendation Service with Social Exposure and Feature Evolution. - Li Ma 012; Zuowu Zheng; Xiuqi Huang; Zhaoxiang Zhang 006; Xiaofeng Gao 001; Jianxiong Guo; Guihai Chen (ICWS, 2023)

IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems. - Jiadong Chen; Yang Luo 004; Xiuqi Huang; Fuxin Jiang; Yangguang Shi; Tieying Zhang; Xiaofeng Gao 001 (KDD, 2023)

Decorrelated spectral regression: An unsupervised dimension reduction method under data selection bias. - Xiuqi Huang; Haotian Ni; Tingjin Luo; Hong Tao; Chenping Hou (Neurocomputing, 2023)

An Adaptive Metadata Management Scheme Based on Deep Reinforcement Learning for Large-Scale Distributed File Systems. - Xiuqi Huang; Yuanning Gao; Xinyi Zhou 006; Xiaofeng Gao 001; Guihai Chen (IEEE/ACM Trans. Netw., 2023)

DITune: A Reinforcement Learning Based Framework for Automated Database Index Selection. - Xiuqi Huang; Xiaofeng Gao 001; Guihai Chen (IMCOM, 2024)

FEDGE: An Interference-Aware QoS Prediction Framework for Black-Box Scenario in IaaS Clouds with Domain Generalization. - Yunlong Cheng; Xiuqi Huang; Zifeng Liu; Jiadong Chen; Xiaofeng Gao 001; Zhen Fang; Yongqiang Yang (IPDPS, 2024)

Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological Assistance. - Yi Xie 003; Tianyu Qiu; Yun Xiong; Xiuqi Huang; Xiaofeng Gao 001; Chao Chen 004; Qiang Wang; Haihong Li (KDD, 2024)

A 750 Mbps with Zero BER Space-Wavelength-Time Division Multiple Access Scheme for Bidirectional VLC Network. - Qiguan Chen; Xiuqi Huang; Dahai Han; Min Zhang (WCNC, 2024)

An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis. - Yi Xie 003; Tianyu Qiu; Yun Xiong; Xiuqi Huang; Xiaofeng Gao 001; Chao Chen 004 (CoRR, 2024)

Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance. - Yixin Wu; Xiuqi Huang; Wei Zhongjia; Hang Cheng; Chaohui Xin; Zuzhi Chen; Binbin Chen; Yufei Wu 014; Hao Wang 210; Tieying Zhang; Rui Shi; Xiaofeng Gao 001; et al. (Proc. VLDB Endow., 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)

Primus: Unified Training System for Large-Scale Deep Learning Recommendation Models. - Jixi Shan; Xiuqi Huang; Yang Guo; Hongyue Mao; Ho-Pang Hsu; Hang Cheng; Can Wang; Jun Song; Rui Shi; Xiaofeng Gao 001; Jingwei Xu; Shiru Ren; et al. (USENIX ATC, 2025)

Debiasing weighted multi-view k-means clustering based on causal regularization. - Xiuqi Huang; Hong Tao; Haotian Ni; Chenping Hou (Pattern Recognit., 2025)

Gradient-based causal discovery with latent variables. - Haotian Ni; Tian-Zuo Wang; Hong Tao; Xiuqi Huang; Chenping Hou (Mach. Learn., 2025)

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference. - Yinghao Tang; Tingfeng Lan; Xiuqi Huang; Hui Lu; Wei Chen 001 (CoRR, 2025)

What You Think Is What You Get: Bridge User Intent and Transfer Function Design through Multimodal Large Language Models. - Yiyao Wang; Bo Pan; Ke Wang; Han Liu; Jinyuan Mao; Yuxin Liu; Minfeng Zhu; Bo Zhang; Weifeng Chen; Xiuqi Huang; Wei Chen (CoRR, 2025)

Magnus: A Holistic Approach to Data Management for Large-Scale Machine Learning Workloads. - Jun Song; Jingyi Ding; Irshad Kandy; Yanghao Lin; Zhongjia Wei; Zilong Zhou; Zhiwei Peng; Jixi Shan; Hongyue Mao; Xiuqi Huang; Xun Song; Cheng Chen; et al. (Proc. VLDB Endow., 2025)

ConceptViz: A Visual Analytics Approach for Exploring Concepts in Large Language Models. - Haoxuan Li; Zhen Wen; Qiqi Jiang; Chenxiao Li; Yuwei Wu; Yuchen Yang; Yiyao Wang; Xiuqi Huang; Minfeng Zhu 001; Wei Chen 001 (CoRR, 2025)

GenesisGeo: Technical Report. - Minfeng Zhu; Zi Wang; Sizhe Ji; Zhengtong Du; Junming Ke; Xiao Deng; Zanlang Yin; Xiuqi Huang; Heyu Wang; Wei Chen (CoRR, 2025)

Graphon-Based Visual Abstraction for Large Multi-Layer Networks. - Ziliang Wu; Minfeng Zhu 001; Zhaosong Huang; Junxu Chen; Tiansheng Zhang; Shengbing Shi; Hao Li; Qiang Bai; Hongchao Qu; Xiuqi Huang; Wei Chen 001 (IEEE Trans. Vis. Comput. Graph., 2025)

Overlap-aware influence maximization with balanced replay deep Q-network. - Yuxin Zuo; Xiuqi Huang; Tiantian Wei; Jianxiong Guo; Xiaofeng Gao 001; Guihai Chen (Knowl. Inf. Syst., 2025)