Efficient traffic allocation scheme for multi-flow distribution in heterogeneous networks. - Hao Lian; Xiao Yan 002; Lina Weng; Zhiyong Feng 001; Qixun Zhang; Ping Zhang 003 (GLOBECOM Workshops, 2013)

A feature detector based on compressed sensing and wavelet transform for wideband cognitive radio. - Xiaomin Liu; Qixun Zhang; Xiao Yan 002; Zhiyong Feng 001; Jianwei Liu; Ying Zhu 005; Jianhua Zhang 001 (PIMRC, 2013)

Channel Correlation Assisted Fast Spectrum Sensing. - Mingfei Gao; Xiao Yan 002; Ying Zhu 005; Qixun Zhang; Zhiyong Feng 001; Baoling Liu (VTC Fall, 2013)

Channel classification based fast spectrum sensing. - Mingfei Gao; Xiao Yan 002; Zhiyong Feng 001; Ping Zhang 003 (ICC Workshops, 2014)

Match-Degree based bandwidth allocation scheme in heterogeneous networks. - Hao Lian; Xiao Yan 002; Lina Weng; Jian Yang 021; Zhiyong Feng 001; Qixun Zhang; Yingzhao Yan (ICC, 2014)

Spectrum survey for TV band in Beijing. - Kai Chen 013; Jia Min; Xianghui Han; Xiao Yan 002; Yan Duan; Long Zhang; Zhiyong Feng 001 (ICT, 2014)

A tractable approach to coexistence analysis between COMPASS and TD-LTE system. - Xianghui Han; Long Zhang; Xiao Yan 002; Kai Chen 013; Jia Min; Chenxi Su; Zhiyong Feng 001 (ICT, 2014)

A signaling load and radio resource utilization balancing scheme for 3G cellular networks. - Huidi Li; Yan Duan; Xiao Yan 002; Long Zhang; Kai Chen 013; Jia Min; Zhiyong Feng 001 (ICT, 2014)

A Novel Collision Avoidance Algorithm for IEEE 802.11 Wireless LANs. - Hongwei Cheng; Xiao Yan 002; Hao Lian; Lina Weng; Qixun Zhang; Zhiyong Feng 001 (MILCOM, 2014)

Fast Spectrum Sensing: A Combination of Channel Correlation and Markov Model. - Mingfei Gao; Xiao Yan 002; Yuchi Zhang; Chaoyue Liu 008; Yifan Zhang 003; Zhiyong Feng 001 (MILCOM, 2014)

TV Band Radio Environment Mapping in Beijing. - Yajian Huang; Xiao Yan 002; Kai Chen 013; Hao Zhou; Yifan Zhang 003; Zhiyong Feng 001 (MILCOM, 2014)

Coexistence Analysis between IMT-Advanced System and Fixed Satellite Service System. - Chenxi Su; Xianghui Han; Xiao Yan 002; Qixun Zhang; Zhiyong Feng 001 (MILCOM, 2014)

Low Complexity Linear Precoding Scheme for Interference Management in Femtocell Networks. - Ishtiaq Ahmad; Adnan Muhammad; Xiao Yan 002; Jia Min; Zhiyong Feng 001; Ping Zhang 003 (VTC Fall, 2014)

Characterizing and Exploiting Temporal-Spatial Radio Resource Margins in Cellular Networks. - Zhiyong Feng 001; Jia Min; Xiao Yan 002; Yu Gao; Qixun Zhang; Yue Zhang (VTC Fall, 2014)

Improved Energy Detector for Full Duplex Sensing. - Xiao Yan 002; Ishtiaq Ahmad; Mingfei Gao; Jian Yang 021; Yuchi Zhang; Zhiyong Feng 001; Yifan Zhang 003 (VTC Fall, 2014)

Scaling Law of Multi-Hop Cognitive Network with a Novel Hybrid Access Scheme. - Yuchi Zhang; Zhiyong Feng 001; Huidi Li; Qixun Zhang; Xiao Yan 002; Jian Yang 021 (VTC Fall, 2014)

A novel spectrum sensing scheme based on phase difference. - Jian Yang 021; Xiao Yan 002; Mingfei Gao; Hao Lian; Han Zhang 006; Zhiyong Feng 001; Yifan Zhang 003 (WCNC, 2014)

A game-theoretic approach for bandwidth allocation and pricing in heterogeneous wireless networks. - Bin Fu; Zhiqing Wei; Xiao Yan 002; Kezhong Zhang; Zhiyong Feng 001; Qixun Zhang (WCNC, 2015)

Interference-constrained access opportunity distribution for secondary communication in TV white space. - Long Zhang; Xianghui Han; Xiao Yan 002; Zhiyong Feng 001 (WCNC, 2015)

LoSHa: A General Framework for Scalable Locality Sensitive Hashing. - Jinfeng Li; James Cheng; Fan Yang 091; Yuzhen Huang; Yunjian Zhao; Xiao Yan 002; Ruihao Zhao (SIGIR, 2017)

G-Miner: an efficient task-oriented graph mining system. - Hongzhi Chen; Miao Liu 006; Yunjian Zhao; Xiao Yan 002; Da Yan 001; James Cheng (EuroSys, 2018)

Norm-Ranging LSH for Maximum Inner Product Search. - Xiao Yan 002; Jinfeng Li; Xinyan Dai; Hongzhi Chen; James Cheng (NeurIPS, 2018)

A General and Efficient Querying Method for Learning to Hash. - Jinfeng Li; Xiao Yan 002; Jie Zhang 046; An Xu; James Cheng; Jie Liu 048; Kelvin Kai Wing Ng; Ti-Chung Cheng (SIGMOD Conference, 2018)

Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS). - Xiao Yan 002; Xinyan Dai; Jie Liu 048; Kaiwen Zhou; James Cheng (CoRR, 2018)

FlexPS: Flexible Parallelism Control in Parameter Server Architecture. - Yuzhen Huang; Tatiana Jin; Yidi Wu; Zhenkun Cai; Xiao Yan 002; Fan Yang 091; Jinfeng Li; Yuying Guo; James Cheng (Proc. VLDB Endow., 2018)

Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets. - Shiyuan Deng; Xiao Yan 002; Kelvin Kai Wing Ng; Chenyu Jiang; James Cheng (IEEE BigData, 2019)

Grasper: A High Performance Distributed System for OLAP on Property Graphs. - Hongzhi Chen; Changji Li; Juncheng Fang; Chenghuan Huang; James Cheng; Jie Zhang 046; Yifan Hou; Xiao Yan 002 (SoCC, 2019)

Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics. - Yuzhen Huang; Xiao Yan 002; Guanxian Jiang; Tatiana Jin; James Cheng; An Xu; Zhanhao Liu; Shuo Tu (USENIX ATC, 2019)

Pyramid: A General Framework for Distributed Similarity Search. - Shiyuan Deng; Xiao Yan 002; Kelvin Kai Wing Ng; Chenyu Jiang; James Cheng (CoRR, 2019)

Elastic deep learning in multi-tenant GPU cluster. - Yidi Wu; Kaihao Ma; Xiao Yan 002; Zhi Liu; James Cheng (CoRR, 2019)

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. - Xinyan Dai; Xiao Yan 002; Kelvin Kai Wing Ng; Jie Liu 048; James Cheng (CoRR, 2019)

Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning. - Xinyan Dai; Xiao Yan 002; Kaiwen Zhou; Han Yang 002; Kelvin Kai Wing Ng; James Cheng; Yu Fan (CoRR, 2019)

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. - Xinyan Dai; Xiao Yan 002; Kelvin Kai Wing Ng; Jiu Liu; James Cheng (AAAI, 2020)

Understanding and Improving Proximity Graph Based Maximum Inner Product Search. - Jie Liu 048; Xiao Yan 002; Xinyan Dai; Zhirong Li; James Cheng; Ming-Chang Yang (AAAI, 2020)

PMD: An Optimal Transportation-Based User Distance for Recommender Systems. - Yitong Meng; Xinyan Dai; Xiao Yan 002; James Cheng; Weiwen Liu; Jun Guo 008; Benben Liao; Guangyong Chen (ECIR (2), 2020)

Convolutional Embedding for Edit Distance. - Xinyan Dai; Xiao Yan 002; Kaiwen Zhou; Yuxuan Wang; Han Yang 002; James Cheng (SIGIR, 2020)

Wasserstein Collaborative Filtering for Item Cold-start Recommendation. - Yitong Meng; Xiao Yan 002; Weiwen Liu; Huanhuan Wu; James Cheng (UMAP, 2020)

Edit Distance Embedding using Convolutional Neural Networks. - Xinyan Dai; Xiao Yan 002; Kaiwen Zhou; Yuxuan Wang; Han Yang 002; James Cheng (CoRR, 2020)

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. - Han Yang 002; Xiao Yan 002; Xinyan Dai; James Cheng (CoRR, 2020)

Hierarchical Graph Matching Network for Graph Similarity Computation. - Haibo Xiu; Xiao Yan 002; Xiaoqiang Wang; James Cheng; Lei Cao (CoRR, 2020)

The item selection problem for user cold-start recommendation. - Yitong Meng; Jie Liu 048; Xiao Yan 002; James Cheng (CoRR, 2020)

DGCL: an efficient communication library for distributed GNN training. - Zhenkun Cai; Xiao Yan 002; Yidi Wu; Kaihao Ma; James Cheng; Fan Yu (EuroSys, 2021)

Towards Efficient MaxBRNN Computation for Streaming Updates. - Wentao Ning; Xiao Yan 002; Bo Tang 016 (ICDE, 2021)

Fast Core-based Top-k Frequent Pattern Discovery in Knowledge Graphs. - Jian Zeng; Leong Hou U; Xiao Yan 002; Mingji Han; Bo Tang 016 (ICDE, 2021)

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. - Han Yang 002; Xiao Yan 002; Xinyan Dai; Yongqiang Chen 002; James Cheng (IJCNN, 2021)

GAIPS: Accelerating Maximum Inner Product Search with GPU. - Long Xiang; Xiao Yan 002; Lan Lu; Bo Tang 016 (SIGIR, 2021)

Vertex-Centric Visual Programming for Graph Neural Networks. - Yidi Wu; Yuntao Gui; Tatiana Jin; James Cheng; Xiao Yan 002; Peiqi Yin; Yufei Cai; Bo Tang 016; Fan Yu (SIGMOD Conference, 2021)

PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank. - Shiqi Zhang 004; Renchi Yang; Xiaokui Xiao; Xiao Yan 002; Bo Tang 016 (CoRR, 2021)

Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval. - Jiansheng Fang; Huazhu Fu; Dan Zeng 002; Xiao Yan 002; Yuguang Yan; Jiang Liu 001 (IEEE J. Biomed. Health Informatics, 2021)

Timestamped State Sharing for Stream Analytics. - Yunjian Zhao; Zhi Liu; Yidi Wu; Guanxian Jiang; James Cheng; Kunlong Liu; Xiao Yan 002 (IEEE Trans. Parallel Distributed Syst., 2021)

Automatic Meta-Path Discovery for Effective Graph-Based Recommendation. - Wentao Ning; Reynold Cheng; Jiajun Shen; Nur Al Hasan Haldar; Ben Kao; Xiao Yan 002; Nan Huo; Wai Kit Lam; Tian Li; Bo Tang 016 (CIKM, 2022)

GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing. - Haotian Liu; Bo Tang 016; Jiashu Zhang; Yangshen Deng; Xiao Yan 002; Xinying Zheng; Qiaomu Shen; Dan Zeng 002; Zunyao Mao; Chaozu Zhang; Zhengxin You; Zhihao Wang; et al. (SoCC, 2022)

Face2Exp: Combating Data Biases for Facial Expression Recognition. - Dan Zeng 002; Zhiyuan Lin; Xiao Yan 002; Yuting Liu 004; Fei Wang; Bo Tang 016 (CVPR, 2022)

CheetahKG: A Demonstration for Core-based Top-$k$ Frequent Pattern Discovery on Knowledge Graphs. - Bo Tang 016; Jian Zeng; Qiandong Tang; Chuan Yang; Qiaomu Shen; Leong Hou U; Xiao Yan 002; Dan Zeng 002 (ICDE, 2022)

GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive. - Haotian Liu; Bo Tang 016; Jiashu Zhang; Yangshen Deng; Xinying Zheng; Qiaomu Shen; Xiao Yan 002; Dan Zeng 002; Zunyao Mao; Chaozu Zhang; Zhengxin You; Zhihao Wang; et al. (SIGMOD Conference, 2022)

T-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space. - Jiahao Zhang; Bo Tang 016; Man Lung Yiu; Xiao Yan 002; Keming Li (SIGMOD Conference, 2022)

DGI: Easy and Efficient Inference for GNNs. - Peiqi Yin; Xiao Yan 002; Jinjing Zhou; Qiang Fu; Zhenkun Cai; James Cheng; Bo Tang 016; Minjie Wang (CoRR, 2022)

Combating spatial redundancy with spectral norm attention in convolutional learners. - Jiansheng Fang; Dan Zeng 002; Xiao Yan 002; Yubing Zhang; Hongbo Liu 007; Bo Tang 016; Ming Yang 039; Jiang Liu 001 (Neurocomputing, 2022)

Manu: A Cloud Native Vector Database Management System. - Rentong Guo; Xiaofan Luan; Long Xiang; Xiao Yan 002; Xiaomeng Yi; Jigao Luo; Qianya Cheng; Weizhi Xu 003; Jiarui Luo; Frank Liu 007; Zhenshan Cao; Yanliang Qiao; et al. (Proc. VLDB Endow., 2022)

TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism. - Zhenkun Cai; Xiao Yan 002; Kaihao Ma; Yidi Wu; Yuzhen Huang; James Cheng; Teng Su; Fan Yu (IEEE Trans. Parallel Distributed Syst., 2022)

Elastic Deep Learning in Multi-Tenant GPU Clusters. - Yidi Wu; Kaihao Ma; Xiao Yan 002; Zhi Liu; Zhenkun Cai; Yuzhen Huang; James Cheng; Han Yuan; Fan Yu (IEEE Trans. Parallel Distributed Syst., 2022)

Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. - Wentao Ning; Xiao Yan 002; Weiwen Liu; Reynold Cheng; Rui Zhang 003; Bo Tang 016 (CIKM, 2023)

Analyzing and Combating Attribute Bias for Face Restoration. - Zelin Li 002; Dan Zeng 002; Xiao Yan 002; Qiaomu Shen; Bo Tang 016 (IJCAI, 2023)

DGI: An Easy and Efficient Framework for GNN Model Evaluation. - Peiqi Yin; Xiao Yan 002; Jinjing Zhou; Qiang Fu; Zhenkun Cai; James Cheng; Bo Tang 016; Minjie Wang (KDD, 2023)

DSP: Efficient GNN Training with Multiple GPUs. - Zhenkun Cai; Qihui Zhou; Xiao Yan 002; Da Zheng; Xiang Song 003; Chenguang Zheng; James Cheng; George Karypis (PPoPP, 2023)

gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. - Ping Gong 009; Renjie Liu 001; Zunyao Mao; Zhenkun Cai; Xiao Yan 002; Cheng Li 001; Minjie Wang; Zhuozhao Li (SOSP, 2023)

MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale. - Haitian Jiang; Renjie Liu 001; Xiao Yan 002; Zhenkun Cai; Minjie Wang; David Wipf (CoRR, 2023)

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. - Yuxiang Wang; Xiao Yan 002; Chuang Hu; Fangcheng Fu; Wentao Zhang 001; Hao Wang 013; Shuo Shang; Jiawei Jiang 001 (CoRR, 2023)

SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification. - Yuntao Gui; Xiao Yan 002; Peiqi Yin; Han Yang 002; James Cheng (CoRR, 2023)

Cascaded face super-resolution with shape and identity priors. - Dan Zeng 002; Zelin Li 002; Xiao Yan 002; Wen Jiang; Xinshao Wang; Jiang Liu 001; Bo Tang 016 (IET Image Process., 2023)

Effective and Efficient PageRank-based Positioning for Graph Visualization. - Shiqi Zhang 004; Renchi Yang; Xiaokui Xiao; Xiao Yan 002; Bo Tang 016 (Proc. ACM Manag. Data, 2023)

FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication. - Kaihao Ma; Xiao Yan 002; Zhenkun Cai; Yuzhen Huang; Yidi Wu; James Cheng (Proc. ACM Manag. Data, 2023)

Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation. - Fang Wang 012; Xiao Yan 002; Man Lung Yiu; Shuai Li 014; Zunyao Mao; Bo Tang 016 (Proc. ACM Manag. Data, 2023)

TreeCSS: An Efficient Framework for Vertical Federated Learning. - Qinbo Zhang; Xiao Yan 002; Yukai Ding; Quanqing Xu; Chuang Hu; Xiaokai Zhou; Jiawei Jiang 001 (DASFAA (1), 2024)

VFDV-IM: An Efficient and Securely Vertical Federated Data Valuation. - Xiaokai Zhou; Xiao Yan 002; Xinyan Li; Hao Huang 001; Quanqing Xu; Qinbo Zhang; Yen Jerome; Zhaohui Cai; Jiawei Jiang 001 (DASFAA (1), 2024)

QSRP: Efficient Reverse k-Ranks Query Processing on High-Dimensional Embeddings. - Zheng Bian; Xiao Yan 002; Jiahao Zhang; Man Lung Yiu; Bo Tang 016 (ICDE, 2024)

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. - Yuxiang Wang; Xiao Yan 002; Chuang Hu; Quanqing Xu; Chuanhui Yang; Fangcheng Fu; Wentao Zhang 001; Hao Wang 013; Bo Du 001; Jiawei Jiang 001 (ICDE, 2024)

Self-Supervised Learning for Graph Dataset Condensation. - Yuxiang Wang; Xiao Yan 002; Shiyu Jin; Hao Huang 001; Quanqing Xu; Qingchen Zhang 001; Bo Du 001; Jiawei Jiang 001 (KDD, 2024)

Debiasing Recommendation with Personal Popularity. - Wentao Ning; Reynold Cheng; Xiao Yan 002; Ben Kao; Nan Huo; Nur Al Hasan Haldar; Bo Tang 016 (WWW, 2024)

Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph. - Yuxiang Wang; Xiao Yan 002; Shiyu Jin; Quanqing Xu; Chuanhui Yang; Yuanyuan Zhu 001; Chuang Hu; Bo Du 001; Jiawei Jiang 001 (CoRR, 2024)

Retrofitting Temporal Graph Neural Networks with Transformer. - Qiang Huang 009; Xiao Yan 002; Xin Wang 128; Susie Xi Rao; Zhichao Han 001; Fangcheng Fu; Wentao Zhang 001; Jiawei Jiang 001 (CoRR, 2024)

GE2: A General and Efficient Knowledge Graph Embedding Learning System. - Chenguang Zheng; Guanxian Jiang; Xiao Yan 002; Peiqi Yin; Qihui Zhou; James Cheng (Proc. ACM Manag. Data, 2024)

PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters. - Kaihao Ma; Zhenkun Cai; Xiao Yan 002; Yang Zhang; Zhi Liu; Yihui Feng; Chao Li; Wei Lin; James Cheng (Parallel Comput., 2024)

QEVIS: Multi-Grained Visualization of Distributed Query Execution. - Qiaomu Shen; Zhengxin You; Xiao Yan 002; Chaozu Zhang; Ke Xu; Dan Zeng 002; Jianbin Qin; Bo Tang 016 (IEEE Trans. Vis. Comput. Graph., 2024)

Extracting Top- Frequent and Diversified Patterns in Knowledge Graphs. - Jian Zeng; Leong Hou U; Xiao Yan 002; Yan Li 122; Mingji Han; Bo Tang 016 (IEEE Trans. Knowl. Data Eng., 2024)

Atom: An Efficient Query Serving System for Embedding-based Knowledge Graph Reasoning with Operator-level Batching. - Qihui Zhou; Peiqi Yin; Xiao Yan 002; Changji Li; Guanxian Jiang; James Cheng (Proc. ACM Manag. Data, 2024)

Face super resolution with a high frequency highway. - Dan Zeng 002; Wen Jiang; Xiao Yan 002; Weibao Fu; Qiaomu Shen; Raymond N. J. Veldhuis; Bo Tang 016 (IET Image Process., 2024)

$ mathsf {CheetahTraj}$CheetahTraj: Efficient Visualization for Large Trajectory Dataset With Quality Guarantee. - Qiaomu Shen; Chaozu Zhang; Xiao Yan 002; Chuan Yang; Dan Zeng 002; Wei Zeng 004; Bo Tang 016 (IEEE Trans. Knowl. Data Eng., 2024)

HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning. - Qinbo Zhang; Xiao Yan 002; Yukai Ding; Fangcheng Fu; Quanqing Xu; Ziyi Li; Chuang Hu; Jiawei Jiang 001 (AAAI, 2025)

Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. - Xiaokai Zhou; Xiao Yan 002; Fangcheng Fu; Xinyan Li; Hao Huang 001; Quanqing Xu; Chuanhui Yang; Bo Du 001; Tieyun Qian; Jiawei Jiang 001 (ICDE, 2025)

MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy. - Haitian Jiang; Renjie Liu 001; Zengfeng Huang; Yichuan Wang 002; Xiao Yan 002; Zhenkun Cai; Minjie Wang; David Wipf (ICLR, 2025)

Adaptive Parallel Training for Graph Neural Networks. - Kaihao Ma; Renjie Liu 001; Xiao Yan 002; Zhenkun Cai; Xiang Song 003; Minjie Wang; Yichao Li; James Cheng (PPoPP, 2025)

TESA: A Trajectory and Semantic-aware Dynamic Heterogeneous Graph Neural Network. - Xin Wang 128; Jiawei Jiang 001; Xiao Yan 002; Qiang Huang 009 (WWW, 2025)

DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. - Renjie Liu 001; Yichuan Wang 002; Xiao Yan 002; Haitian Jiang; Zhenkun Cai; Minjie Wang; Bo Tang 016; Jinyang Li 001 (Proc. ACM Manag. Data, 2025)

Identifying E-Commerce Fraud Through User Behavior Data: Observations and Insights. - Ziyi Zhang; Hang Yin; Susie Xi Rao; Xiao Yan 002; Zhurong Wang; Weiming Liang; Yang Zhao; Yinan Shan; Ruixuan Zhang; Yuhao Lin; Jiawei Jiang 001 (Data Sci. Eng., 2025)

PolyG: Effective and Efficient GraphRAG with Adaptive Graph Traversal. - Renjie Liu 001; Haitian Jiang; Xiao Yan 002; Bo Tang 016; Jinyang Li 001 (CoRR, 2025)

Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph. - Yuxiang Wang; Xiao Yan 002; Shiyu Jin; Quanqing Xu; Chuang Hu; Yuanyuan Zhu 001; Bo Du 001; Jia Wu; Jiawei Jiang 001 (CoRR, 2025)

MTGRBoost: Boosting Large-scale Generative Recommendation Models in Meituan. - Yuxiang Wang; Xiao Yan 002; Chi Ma; Mincong Huang; Xiaoguang Li; Lei Yu; Chuan Liu; Ruidong Han; He Jiang; Bin Yin; Shangyu Chen; Fei Jiang; et al. (CoRR, 2025)

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG. - Qiming Zeng; Xiao Yan 002; Hao Luo; Yuhao Lin; Yuxiang Wang; Fangcheng Fu; Bo Du 001; Quanqing Xu; Jiawei Jiang 001 (CoRR, 2025)

CARINA: An Efficient CXL-Oriented Embedding Serving System for Recommendation Models. - Peiqi Yin; Qihui Zhou; Xiao Yan 002; Chao Wang 125; Eric Lo 001; Changji Li; Lan Lu; Hua Fan 002; Wenchao Zhou; Ming-Chang Yang; James Cheng (Proc. ACM Manag. Data, 2025)