Yingxia Shao - RankMe

166 papers A* 31A 9Misc 2Journal 89Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepXiv-SDK: An Agentic Data Interface for Scientific Literature. CoRR Hongjin Qian, Ziyi Xia, Ze Liu, Jianlyu Chen, Kun Luo, Minghao Qin, Chaofan Li, Lei Xiong, Junwei Lan, Sen Wang, Zhengyang Liang, Yingxia Shao, Defu Lian, Zheng Liu
2026	A*	`conf`	HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion. AAAI Di Wang, Junping Du, Zhe Xue, MeiYu Liang, Guanhua Ye, Yingxia Shao, Haisheng Li
2026	J	`jnl`	PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation. IEEE Trans. Mob. Comput. Rui Wang, Mengshi Qi, Yingxia Shao, Anfu Zhou, Huadong Ma
2026	A*	`conf`	Rethink Representation Learning for Questionnaire Data. AAAI Guanhua Ye, Jifeng He, Yan Li, Junping Du, Zhe Xue, Yingxia Shao, MeiYu Liang, Yawen Li
2026	J	`jnl`	SEA-SQL: semantic-enhanced text-to-SQL with adaptive refinement. Frontiers Comput. Sci. Chaofan Li, Yingxia Shao, Yawen Li, Zheng Liu
2025	A*	`conf`	CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks. IJCAI Aijing Li, Junping Du, Dandan Liu, Yingxia Shao, Tong Zhao, Guanhua Ye
2025	A	`conf`	CoLa: Towards Communication-efficient Distributed Sparse Matrix-Matrix Multiplication on GPUs. ICS Lixing Zhang, Yingxia Shao, Shigang Li
2025	A	`conf`	Context-Aware Fine-Grained Graph RAG for Query-Focused Summarization. CIKM Yubin Hong, Chaofan Li, Jingyi Zhang, Yingxia Shao
2025	J	`jnl`	DBPecker: A Graph-Based Compound Anomaly Diagnosis System for Distributed RDBMSs. Proc. VLDB Endow. Qingliu Wu, Qingfeng Xiang, Yingxia Shao, Qiyao Luo, Quanqing Xu
2025	J	`jnl`	Distributed Database Diagnosis Method for Compound Anomalies. Int. J. Softw. Informatics Qingfeng Xiang, Yingxia Shao, Quanqing Xu, Chuanhui Yang
2025	A*	`conf`	Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Retrieval. ACM Multimedia Zhengyang Liang, MeiYu Liang, Wei Huang, Yawen Li, Wu Liu, Yingxia Shao, Kangkang Lu
2025	J	`jnl`	ELMM: Efficient Lightweight Multimodal Large Language Models for Multimodal Knowledge Graph Completion. CoRR Wei Huang, Peining Li, MeiYu Liang, Xu Hou, Junping Du, Yingxia Shao, Guanhua Ye, Wu Liu, Kangkang Lu, Yang Yu
2025	J	`jnl`	FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG. CoRR Yubin Hong, Chaofan Li, Jingyi Zhang, Yingxia Shao
2025	Misc	`conf`	Federated Learning for Computing Power Network: A Latency Optimization Scheduling Framework Based on Deep Reinforcement Learning. ADC Zhonghui Ma, Junping Du, Zhe Xue, Guanhua Ye, Yingxia Shao
2025	A*	`conf`	Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. WWW Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Chen Jason Zhang, Hao Liao, Defu Lian, Yingxia Shao
2025	J	`jnl`	From Sancus to Sancus VLDB J. Jingshu Peng, Qiyu Liu, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao
2025	A*	`conf`	Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges. WWW Jia Wang, Yawen Li, Zhe Xue, Yingxia Shao, Zeli Guan, Wenling Li
2025	Misc	`conf`	LHATM: LLM-Guided Hierarchy-Aware Topic Modeling Framework. ADC Zheng Zhang, Junping Du, Yingxia Shao, Guanhua Ye
2025	—	`conf`	LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification. KDD (2) Zeang Sheng, Weiyang Guo, Yingxia Shao, Wentao Zhang, Bin Cui
2025	—	`conf`	MSformer: Joint Prediction of Multi-Dimensional Resources in Computing Power Network based on Multi-Granularity Sampling. BigComp Jiuzhao Yang, Junping Du, Yingxia Shao, Yawen Li, Ang Li, Guanhua Ye
2025	A*	`conf`	Making Text Embedders Few-Shot Learners. ICLR Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Defu Lian, Yingxia Shao, Zheng Liu
2025	J	`jnl`	Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width. CoRR Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Defu Lian, Yingxia Shao
2025	J	`jnl`	Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis. CoRR Jiayong Qin, Xianyu Zhu, Qiyu Liu, Guangyi Zhang, Zhigang Cai, Jianwei Liao, Sha Hu, Jingshu Peng, Yingxia Shao, Lei Chen
2025	—	`conf`	Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval. ACL (1) Chaofan Li, Jianlyu Chen, Yingxia Shao, Chaozhuo Li, Quanqing Xu, Defu Lian, Zheng Liu
2025	J	`jnl`	Reinforced Information Retrieval. CoRR Chaofan Li, Zheng Liu, Jianlyv Chen, Defu Lian, Yingxia Shao
2025	A*	`conf`	Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning. AAAI Jia Wang, Yawen Li, Yingxia Shao, Zhe Xue, Zeli Guan, Ang Li, Guanhua Ye
2025	J	`jnl`	Towards A Generalist Code Embedding Model Based On Massive Data Synthesis. CoRR Chaofan Li, Jianlyu Chen, Yingxia Shao, Defu Lian, Zheng Liu
2025	A*	`conf`	Towards Scalable and Efficient Graph Structure Learning. ICDE Siqi Shen, Wentao Zhang, Chengshuo Du, Chong Chen, Fangcheng Fu, Yingxia Shao, Bin Cui
2024	A*	`conf`	Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. ICDE Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2024	J	`jnl`	Adversarial Contrastive Learning Based Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation. CoRR Rui Wang, Mengshi Qi, Yingxia Shao, Anfu Zhou, Huadong Ma
2024	J	`jnl`	ChatBI: Towards Natural Language to Complex Business Intelligence SQL. CoRR Jinqing Lian, Xinyi Liu, Yingxia Shao, Yang Dong, Ming Wang, Zhang Wei, Tianqi Wan, Ming Dong, Hailin Yan
2024	J	`jnl`	DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning. Proc. VLDB Endow. Zhiyuan Li, Xun Jian, Yue Wang, Yingxia Shao, Lei Chen
2024	J	`jnl`	DELIA: Diversity-Enhanced Learning for Instruction Adaptation in Large Language Models. CoRR Yuanhao Zeng, Fei Ren, Xinpeng Zhou, Yihang Wang, Yingxia Shao
2024	J	`jnl`	Distributed Graph Neural Network Training: A Survey. ACM Comput. Surv. Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen
2024	—	`conf`	Distribution-Aware Diversification for Personalized Re-ranking in Recommendation. APWeb/WAIM (2) Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu
2024	J	`jnl`	ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs. Proc. VLDB Endow. Shihong Gao, Yiming Li, Yanyan Shen, Yingxia Shao, Lei Chen
2024	J	`jnl`	Federated learning for supervised cross-modal retrieval. World Wide Web (WWW) Ang Li, Yawen Li, Yingxia Shao
2024	J	`jnl`	How good are machine learning clouds? Benchmarking two snapshots over 5 years. VLDB J. Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
2024	J	`jnl`	LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space. CoRR Zhenyu Lin, Hongzheng Li, Yingxia Shao, Guanhua Ye, Yawen Li, Quanqing Xu
2024	A*	`conf`	LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. AAAI Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie
2024	J	`jnl`	LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. CoRR Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie
2024	A*	`conf`	Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering. SIGIR Duokang Wang, Linmei Hu, Rui Hao, Yingxia Shao, Xin Lv, Liqiang Nie, Juanzi Li
2024	—	`conf`	Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval. ACL (1) Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian
2024	J	`jnl`	Making Text Embedders Few-Shot Learners. CoRR Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Yingxia Shao, Defu Lian, Zheng Liu
2024	A*	`conf`	NovaChart: A Large-scale Dataset towards Chart Understanding and Generation of Multimodal Large Language Models. ACM Multimedia Linmei Hu, Duokang Wang, Yiming Pan, Jifan Yu, Yingxia Shao, Chong Feng, Liqiang Nie
2024	J	`jnl`	SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement. CoRR Chaofan Li, Yingxia Shao, Zheng Liu
2024	J	`jnl`	SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement. Proc. ACM Manag. Data Shihong Gao, Yiming Li, Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen
2024	—	`conf`	SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training. ECML/PKDD (3) Xizhi Gu, Hongzheng Li, Shihong Gao, Xinyan Zhang, Lei Chen, Yingxia Shao
2024	J	`jnl`	SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training. CoRR Xizhi Gu, Hongzheng Li, Shihong Gao, Xinyan Zhang, Lei Chen, Yingxia Shao
2024	J	`jnl`	Token-Efficient Leverage Learning in Large Language Models. CoRR Yuanhao Zeng, Min Wang, Yihang Wang, Yingxia Shao
2023	J	`jnl`	Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. CoRR Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2023	—	`conf`	Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. ACL (1) Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, Liqiang Nie
2023	J	`jnl`	ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems. CoRR Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui
2023	J	`jnl`	ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems. Proc. VLDB Endow. Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui
2023	J	`jnl`	DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU. Proc. ACM Manag. Data Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen
2023	—	`ed.`	Database Systems for Advanced Applications. DASFAA 2023 International Workshops - BDMS 2023, BDQM 2023, GDMA 2023, BundleRS 2023, Tianjin, China, April 17-20, 2023, Proceedings DASFAA (Workshops) Amr El Abbadi, Gillian Dobbie, Zhiyong Feng, Lu Chen, Xiaohui Tao, Yingxia Shao, Hongzhi Yin
2023	A	`conf`	Diversity-aware Deep Ranking Network for Recommendation. CIKM Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu, Shitao Xiao, Tao Feng, Ming Liu
2023	J	`jnl`	Dynamic Fair Federated Learning Based on Reinforcement Learning. CoRR Weikang Chen, Junping Du, Yingxia Shao, Jia Wang, Yangxi Zhou
2023	J	`jnl`	Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion. CoRR Runze Fang, Yawen Li, Yingxia Shao, Zeli Guan, Zhe Xue
2023	J	`jnl`	Experimental Analysis of Large-scale Learnable Vector Storage Compression. CoRR Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui
2023	J	`jnl`	Experimental Analysis of Large-scale Learnable Vector Storage Compression. Proc. VLDB Endow. Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui
2023	—	`conf`	Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering. ACL (1) Ziwang Zhao, Linmei Hu, Hanyu Zhao, Yingxia Shao, Yequan Wang
2023	J	`jnl`	Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture. IEEE Trans. Knowl. Data Eng. Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang
2023	A*	`conf`	LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. SIGIR Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao
2023	J	`jnl`	Making Large Language Models A Better Foundation For Dense Retrieval. CoRR Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao
2023	J	`jnl`	Multi-View Scholar Clustering With Dynamic Interest Tracking. IEEE Trans. Knowl. Data Eng. Ang Li, Yawen Li, Yingxia Shao, Bingyan Liu
2023	J	`jnl`	P VLDB J. Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui
2023	J	`jnl`	Relation Extraction Model Based on Semantic Enhancement Mechanism. CoRR Peiyu Liu, Junping Du, Yingxia Shao, Zeli Guan
2023	—	`conf`	RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. ACL (1) Zheng Liu, Shitao Xiao, Yingxia Shao, Zhao Cao
2023	J	`jnl`	RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. CoRR Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao
2023	A*	`conf`	Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract). IJCAI Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao
2022	J	`jnl`	A Rare Topic Discovery Model for Short Texts Based on Co-occurrence word Network. CoRR Chengjie Ma, Junping Du, Yingxia Shao, Ang Li, Zeli Guan
2022	—	`conf`	A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents. CCIS Runze Fang, Junping Du, Yingxia Shao, Zeli Guan
2022	J	`jnl`	A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents. CoRR Runze Fang, Junping Du, Yingxia Shao, Zeli Guan
2022	J	`jnl`	A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT. CoRR Xingchen Liu, Yawen Li, Yingxia Shao, Ang Li, Jian Liang
2022	—	`conf`	Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property. CCIS Yuxin Liu, Yawen Li, Yingxia Shao, Zeli Guan
2022	J	`jnl`	Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property. CoRR Yuxin Liu, Yawen Li, Yingxia Shao, Zeli Guan
2022	J	`jnl`	An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs. CoRR Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen
2022	J	`jnl`	An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs. Proc. VLDB Endow. Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen
2022	J	`jnl`	An Intellectual Property Entity Recognition Method Based on Transformer and Technological Word Information. CoRR Yuhui Wang, Junping Du, Yingxia Shao
2022	J	`jnl`	CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs. IEEE Trans. Knowl. Data Eng. Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang
2022	J	`jnl`	Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui
2022	A*	`conf`	Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
2022	J	`jnl`	Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie
2022	J	`jnl`	Distributed Graph Neural Network Training: A Survey. CoRR Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen
2022	J	`jnl`	Efficient Graph Neural Network Inference at Large Scale. CoRR Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2022	J	`jnl`	LECF: recommendation via learnable edge collaborative filtering. Sci. China Inf. Sci. Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui
2022	A*	`conf`	Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). ICDE Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang
2022	A*	`conf`	Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie
2022	J	`jnl`	Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang
2022	J	`jnl`	Research on Intellectual Property Resource Profile and Evolution Law. CoRR Yuhui Wang, Yingxia Shao, Ang Li
2022	J	`jnl`	Retrieval of Scientific and Technological Resources for Experts and Scholars. CoRR Suyu Ouyang, Yingxia Shao, Ang Li
2022	A*	`conf`	RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder. EMNLP Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao
2022	J	`jnl`	RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder. CoRR Zheng Liu, Yingxia Shao
2022	J	`jnl`	SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks. Proc. VLDB Endow. Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao
2022	A	`conf`	Scalable Graph Sampling on GPUs with Compressed Graph. CIKM Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui
2022	J	`jnl`	Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU. CoRR Suyu Ouyang, Yingxia Shao, Junping Du, Ang Li
2022	J	`jnl`	Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon. CoRR Jia Wang, Junping Du, Yingxia Shao, Ang Li
2022	J	`jnl`	Social Network Community Detection Based on Textual Content Similarity and Sentimental Tendency. CoRR Jie Gao, Junping Du, Yingxia Shao, Ang Li, Zeli Guan
2022	A*	`conf`	Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. SIGIR Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
2022	J	`jnl`	Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. CoRR Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
2022	A*	`conf`	Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. KDD Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie
2022	J	`jnl`	Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. CoRR Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
2022	A*	`conf`	Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. KDD Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie
2021	A*	`conf`	CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract). ICDE Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang
2021	A*	`conf`	DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang
2021	J	`jnl`	Efficient Diversity-Driven Ensemble for Deep Neural Networks. CoRR Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui
2021	—	`conf`	Federated Graph Neural Network for Cross-graph Node Classification. CCIS Zeli Guan, Yawen Li, Zhe Xue, Yuxin Liu, Hongrui Gao, Yingxia Shao
2021	J	`jnl`	Gated Graph Neural Attention Networks for abstractive summarization. Neurocomputing Zeyu Liang, Junping Du, Yingxia Shao, Houye Ji
2021	—	`conf`	Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce. SIGMOD Conference Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui
2021	A	`conf`	Heterogeneous Hypergraph Embedding for Graph Classification. WSDM Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung
2021	—	`conf`	Matching-oriented Embedding Quantization For Ad-hoc Retrieval. EMNLP (1) Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
2021	J	`jnl`	Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs. VLDB J. Yingxia Shao, Shiyue Huang, Yawen Li, Xupeng Miao, Bin Cui, Lei Chen
2021	—	`conf`	Multi-Modal COVID-19 Discovery With Collaborative Federated Learning. CCIS Xiaomeng Chen, Yingxia Shao, Zhe Xue, Ziqiang Yu
2021	J	`jnl`	Multiple Local Community Detection via High-Quality Seed Identification over Both Static and Dynamic Networks. Data Sci. Eng. Jiaxu Liu, Yingxia Shao, Sen Su
2021	—	`conf`	Radio resource management algorithm for urban rail transit communication system based on Stackelberg game. VTC Spring Yingxia Shao, Hailin Jiang, Hongli Zhao
2021	J	`jnl`	Search-oriented Differentiable Product Quantization. CoRR Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
2021	A	`conf`	Self-Supervised Graph Co-Training for Session-based Recommendation. CIKM Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
2021	J	`jnl`	Self-Supervised Graph Co-Training for Session-based Recommendation. CoRR Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
2021	J	`jnl`	Sys-TM: A Fast and General Topic Modeling System. IEEE Trans. Knowl. Data Eng. Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu, Bin Cui
2021	J	`jnl`	Training Microsoft News Recommenders with Pretrained Language Models in the Loop. CoRR Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie
2021	A*	`conf`	UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. ICDE Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen
2021	—	`conf`	Urban Fatigue Driving Prediction With Federated Learning. CCIS Yongqiang Ma, Yingxia Shao, Zhe Xue, Ziqiang Yu
2021	—	`conf`	VF SIGMOD Conference Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui
2020	J	`jnl`	DASFAA 20202 Special Issue Editorial. Data Sci. Eng. Yingxia Shao, Yanyan Shen, Bin Cui, Jeffrey Xu Yu
2020	—	`conf`	Decentralized Embedding Framework for Large-Scale Networks. DASFAA (3) Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou
2020	—	`conf`	Densely-Connected Transformer with Co-attentive Information for Matching Text Sequences. APWeb/WAIM (2) Minxu Zhang, Yingxia Shao, Kai Lei, Yuesheng Zhu, Bin Cui
2020	A*	`conf`	Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript. ICML Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui
2020	A*	`conf`	Efficient Automatic CASH via Rising Bandits. AAAI Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui
2020	J	`jnl`	Efficient Automatic CASH via Rising Bandits. CoRR Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui
2020	A*	`conf`	Efficient Diversity-Driven Ensemble for Deep Neural Networks. ICDE Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui
2020	J	`jnl`	Heterogeneous Hypergraph Embedding for Graph Classification. CoRR Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung
2020	—	`book`	Large-scale Graph Analysis: System, Algorithm and Optimization Yingxia Shao, Bin Cui, Lei Chen
2020	—	`conf`	Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs. SIGMOD Conference Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, Lei Chen
2020	—	`conf`	Multiple Local Community Detection via High-Quality Seed Identification. APWeb/WAIM (1) Jiaxu Liu, Yingxia Shao, Sen Su
2020	—	`conf`	Reliable Data Distillation on Graph Convolutional Network. SIGMOD Conference Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui
2020	J	`jnl`	SKCompress: compressing sparse and nonuniform gradient in distributed machine learning. VLDB J. Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui
2020	J	`jnl`	Snapshot boosting: a fast ensemble framework for deep neural networks. Sci. China Inf. Sci. Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui
2020	J	`jnl`	UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. CoRR Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen
2019	J	`jnl`	An Experimental Evaluation of Large Scale GBDT Systems. CoRR Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui
2019	J	`jnl`	An Experimental Evaluation of Large Scale GBDT Systems. Proc. VLDB Endow. Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui
2019	J	`jnl`	CNN Compression-Recovery Framework via Rank Allocation Decomposition With Knowledge Transfer. IEEE Access Zhonghong Ou, Yunfeng Liu, Huihui Kong, Meina Song, Yingxia Shao
2019	J	`jnl`	Fast De-anonymization of Social Networks with Structural Information. Data Sci. Eng. Yingxia Shao, Jialin Liu, Shuyang Shi, Yuemei Zhang, Bin Cui
2019	—	`conf`	FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search. APWeb/WAIM (2) Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui
2019	A	`conf`	Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model. CIKM Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du
2019	A*	`conf`	NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding. ICDE Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen
2019	—	`conf`	PS2: Parameter Server on Spark. SIGMOD Conference Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao
2019	—	`conf`	Sparse Gradient Compression for Distributed SGD. DASFAA (2) Haobo Sun, Yingxia Shao, Jiawei Jiang, Bin Cui, Kai Lei, Yu Xu, Jiang Wang
2019	A*	`conf`	Towards Reliable Learning for High Stakes Applications. AAAI Jinyang Gao, Junjie Yao, Yingxia Shao
2018	—	`conf`	CUTE: Querying Knowledge Graphs by Tabular Examples. APWeb/WAIM (1) Zichen Wang, Tian Li, Yingxia Shao, Bin Cui
2018	A*	`conf`	Fast Parallel Path Concatenation for Graph Extraction. ICDE Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu
2018	—	`conf`	GLM+: An Efficient System for Generalized Linear Models. BigComp Lele Yu, Lingyu Wang, Yingxia Shao, Long Guo, Bin Cui
2018	J	`jnl`	NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding. CoRR Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen
2017	J	`jnl`	An Experimental Evaluation of SimRank-based Similarity Search Algorithms. Proc. VLDB Endow. Zhipeng Zhang, Yingxia Shao, Bin Cui, Ce Zhang
2017	J	`jnl`	Fast Parallel Path Concatenation for Graph Extraction. IEEE Trans. Knowl. Data Eng. Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu
2017	J	`jnl`	LDA*: A Robust and Large-scale Topic Modeling System. Proc. VLDB Endow. Lele Yu, Bin Cui, Ce Zhang, Yingxia Shao
2016	—	`conf`	Tornado: A System For Real-Time Iterative Analysis Over Evolving Data. SIGMOD Conference Xiaogang Shi, Bin Cui, Yingxia Shao, Yunhai Tong
2015	J	`jnl`	An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs. Proc. VLDB Endow. Yingxia Shao, Bin Cui, Lei Chen, Mingming Liu, Xing Xie
2015	—	`conf`	Exploiting Matrix Dependency for Efficient Distributed Matrix Computation. SIGMOD Conference Lele Yu, Yingxia Shao, Bin Cui
2015	J	`jnl`	Heterogeneous Environment Aware Streaming Graph Partitioning. IEEE Trans. Knowl. Data Eng. Ning Xu, Bin Cui, Lei Chen, Zi Huang, Yingxia Shao
2015	A	`conf`	Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation. CIKM Hongzhi Yin, Xiaofang Zhou, Yingxia Shao, Hao Wang, Shazia Sadiq
2015	J	`jnl`	PAGE: A Partition Aware Engine for Parallel Graph Computation. IEEE Trans. Knowl. Data Eng. Yingxia Shao, Bin Cui, Lin Ma
2014	—	`conf`	Efficient cohesive subgraphs detection in parallel. SIGMOD Conference Yingxia Shao, Lei Chen, Bin Cui
2014	—	`conf`	Parallel subgraph listing in a large-scale graph. SIGMOD Conference Yingxia Shao, Bin Cui, Lei Chen, Lin Ma, Junjie Yao, Ning Xu
2013	A	`conf`	PAGE: a partition aware graph computation engine. CIKM Yingxia Shao, Junjie Yao, Bin Cui, Lin Ma
2013	—	`conf`	bCATE: A Balanced Contention-Aware Transaction Execution Model for Highly Concurrent OLTP Systems. WAIM Xiaogang Shi, Yanfei Lv, Yingxia Shao, Bin Cui