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<TITLE>CUI Bin's Publications</TITLE>
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<BLOCKQUOTE>
<BLOCKQUOTE>
<H2>
<a href="index.html"><font color="#000080">CUI Bin</font></a></H2>
<font color="#000080">Department of Computer
Science and Technology
<BR><B>Peking University, China</B> </font></BLOCKQUOTE>
</BLOCKQUOTE>
<HR>
<p><font color="#000080"><B>Publications <span class="STYLE13">[ <a href="https://dblp.uni-trier.de/pid/55/5031.html">My DBLP entry
</a>]</span>
<br>
<br>
</B></font>2024</p>
<ol style="position: relative">
<li>Hailin Zhang, Zirui Liu, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang, Bin Cui:<br>
"CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models"<br>
<em>SIGMOD 2024</em><br>
<br>
</li>
<li> Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Jian Tang, Bin Cui:<br>
"NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention"<br>
SIGMOD 2024 (Industry)<br>
<br>
</li>
<li> Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui: <br>
"Experimental Analysis of Large-scale Learnable Vector Storage Compression"<br>
<em>VLDB 2024<br>
<br>
</em></li>
<li>Zeang Sheng, Wentao Zhang, Yangyu Tao, Bin Cui: <br>
"OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine"<em><br>
VLDB 2024<br>
</em><br>
</li>
<li> Xinyi Zhang, Hong Wu, Yang Li, Zhengju Tang, Jian Tan, Feifei Li, Bin Cui: <br>
"An Efficient Transfer Learning Based Configuration Adviser for Database Tuning"<br>
<em>VLDB 2024</em><br>
<br>
</li>
<li>Shuaipeng Li, Penghao Zhao, Hailin Zhang, Samm Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin CUI, Di Wang:<br>
"Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling"<br>
NeurIPS 2024<br>
<br>
</li>
<li> Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin CUI:<br>
"LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing"<br>
NeurIPS 2024<br>
<br>
</li>
<li> Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin CUI:<br>
"Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models"<br>
NeurIPS 2024<br>
<br>
</li>
<li> Xinchen Zhang, Ling Yang, YaQi Cai, Zhaochen Yu, Kai-Ni Wang, xie jiake, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin CUI:<br>
"RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models"<br>
NeurIPS 2024<br>
<br>
</li>
<li> Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin CUI:<br>
"Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters"<br>
NeurIPS 2024<br>
<br>
</li>
<li> Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di ZHANG, Bin CUI:<br>
"VideoTetris: Towards Compositional Text-to-Video Generation:<br>
NeurIPS 2024<br>
<br>
</li>
<li> Hao Ge, Fangcheng Fu, Haoyang Li, Xuanyu Wang, Sheng Lin, Yujie Wang, Xiaonan Nie, Hailin Zhang, Xupeng Miao, Bin Cui:<br>
"Enabling Parallelism Hot Switching for Efficient Training of Large Language Models"<br>
SOSP 2024<br>
<br>
</li>
<li> Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui:<br>
"Reviving Efficient Attention for Long Context Language Modeling: A Survey"<br>
IJCAI 2024<br>
<br>
</li>
<li> Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:<br>
"Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation"<br>
<em>ICDE 2024</em><br>
<br>
</li>
<li> Wentao Zhang, YeXin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui: <br>
"NC-ALG: Graph-based Active Learning under Noisy Crowd"<br>
<em>ICDE 2024</em><br>
<br>
</li>
<li> Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin:<br>
"BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection"<br>
<em>ICDE 2024</em><br>
<br>
</li>
<li> Yuhan Wu, Feiyu Wang, Yifan Zhu, Zhuochen Fan, zhi xiong, Tong Yang, Bin Cui:<br>
"VisionEmbedder: Bit-Level-Compact Key-Value Storage with Constant Lookup, Rapid Updates, and Rare Failure" <br>
<em>ICDE 2024</em><br>
<br>
</li>
<li> Yuhan Wu, Aomufei Yuan, Zhouran Shi, Yuanpeng Li, Yikai Zhao, Peiqing Chen, Tong Yang, Bin Cui:<br>
"Online Detection of Outstanding Quantiles with QuantileFilter"<br>
<em>ICDE 2024</em><br>
<br>
</li>
<li> Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui:<br>
"Multi-View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation"<br>
<em>ICDE 2024</em><br>
<br>
</li>
<li> Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui:<br>
"HGAMLP: Heterogeneous Graph Attention MLP with De-redundancy Mechanism"<br>
<em>ICDE 2024</em><br>
<br>
</li>
<li> Zhuo Chang, Xinyi Zhang, Yang Li, Xupeng Miao, Yanzhao Qin, Bin Cui: <br>
"MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian Optimization" <br>
<em>ICDE 2024</em><br>
<br>
</li>
<li> Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui: <br>
"BIM: Improving Graph Neural Networks with Balanced Influence Maximization"<br>
<em>ICDE 2024</em><br>
<br>
</li>
<li> Qizhi Chen, Yisen Hong, Yuhan Wu, Tong Yang, Bin Cui: <br>
"CodingSketch: A Hierarchical Sketch with Efficient Encoding and Recursive Decoding"<br>
<em>ICDE 2024</em><br>
<br>
</li>
<li> Qizhi Chen, Ke Wang, Aoran Li, Yuhan Wu, Tong Yang, Bin Cui: <br>
"Newton sketches: Estimating Node Intimacy in Dynamic Graphs Using Newton’s Law of Cooling"<br>
<em>ICDE 2024<br>
<br>
</em></li>
<li> Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi and Dahua Lin, Bin Cui, Zhihao Jia:<br>
"SpotServe: Serving Generative Large Language Models on Preemptible Instances"<br>
<em>ASPLOS 2024 (<strong>Distinguished Artifact Award</strong>)</em><br>
<br>
</li>
<li> Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui: <br>
"Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference"<br>
<em>AAAI 2024</em><br>
<br>
</li>
<li>Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:<br>
"VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs"<br>
<em>ICLR 2024</em><br>
<br>
</li>
<li> Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang:<br>
"Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models"<br>
<em>ICLR 2024</em><br>
<br>
</li>
<li> Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui:<br>
"Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing"<br>
<em>ICLR 2024</em><br>
<br>
</li>
<li> Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui:<br>
"Structure-Guided Adversarial Training of Diffusion Models"<br>
<em>CVPR 2024</em><br>
<br>
</li>
<li> Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui:<br>
"Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs"<br>
<em>ICML 2024</em><br>
<br>
</li>
<li> Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Wasim Sadiq:<br>
"Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks"<br>
<em>KDD 2024</em><br>
<br>
</li>
<li> Zijian Song, WenHan Zhang, LIFANG DENG, Jian Dong Zhang, Wu Zhihua, Kaigui Bian, Bin Cui:<br>
"Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement"<br>
<em>KDD 2024 </em><br>
<br>
</li>
<li>Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Kaigui Bian and Bin Cui:<br>
"MultiLoRA: Multi-Directional Low Rank Adaptation for Multi-Domain Recommendation"<br>
CIKM 2024<br>
<br>
</li>
<li> Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui:<br>
"Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization"<br>
IEEE Trans. Knowl. Data Eng. 36(2): 682-693 (2024) <br>
<br>
</li>
<li> Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang:<br>
"Diffusion Models: A Comprehensive Survey of Methods and Applications" <br>
<em>ACM Comput. Surv. 56(4): 105:1-105:39 (2024)</em><br>
<br>
</li>
<li> Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:<br>
"Distributed Graph Neural Network Training: A Survey" <br>
<em>ACM Comput. Surv. 56(8): 191:1-191:39 (2024)</em><br>
<br>
</li>
<li> Zirui Liu, Yikai Zhao, Zhuochen Fan, Tong Yang, Xiaodong Li, Ruwen Zhang, Kaicheng Yang, Zihan Jiang, Zheng Zhong, Yi Huang, Cong Liu, Jing Hu, Gaogang Xie, Bin Cui:<br>
"BurstBalancer: Do Less, Better Balance for Large-Scale Data Center Traffic" <br>
<em>IEEE Trans. Parallel Distributed Syst. 35(6): 777-794 (2024)</em><br>
<br>
</li>
<li> Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui:<br>
“OpenBox: A Python Toolkit for Generalized Black-box Optimization”<br>
<em>JMLR 25: 120:1-120:11 (2024)<br>
</em><br>
</li>
<li> Fangcheng Fu, Xuanyu Wang, Jiawei Jiang, Huanran Xue, and Bin Cui:<br>
"ProjPert: Projection-based Perturbation for Label Protection in Split Learning based Vertical Federated Learning"<br>
<em>TKDE 2024</em><em>(To appear)</em><br>
<br>
</li>
<li> Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Shenhan Zhu, Xiaonan Nie, Yaofeng Tu, Bin Cui:<br>
"Improving Automatic Parallel Training via Balanced Memory Workload Optimization"<br>
<em>TKDE 2024</em><em>(To appear)</em><br>
<br>
</li>
<li>Zhuochen Fan, Xiangyuan Wang, Xiaodong Li, Jiarui Guo, Wenrui Liu, Haoyu Li, Sheng Long, Zheng Zhong, Tong Yang, Xuebin Chen, Bin Cui:<br>
"SteadySketch: A High-Performance Algorithm for Finding Steady Flows in Data Streams" <br>
TON 2024(To appear)<br>
<br>
</li>
<li>Zhuochen Fan, Bowen Ye, Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Zirui Liu, Bin Cui:<br>
"Enabling Space-Time Efficient Range Queries with REncoder" <br>
VLDB Journal 2024(To appear)<br>
<br>
</li>
<li> Xupeng Miao, Zhihao Jia, Bin Cui:<br>
"Demystifying Data Management for Large Language Models" <br>
<em>SIGMOD Conference Companion 2024: 547-555 (Tutorial)<br>
<br>
</em></li>
<li> Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui:<br>
"On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm"<br>
<em>WWW (Companion Volume) 2024: 1280-1283 (Tutorial)</em><br>
</li>
</ol>
<p>2023</p>
<ol style="position: relative">
<li>Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, Bin Cui:<br>
Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization. <br>
Proc. ACM Manag. Data 1(2): 146:1-146:21 (SIGMOD 2023)<br>
<br>
</li>
<li>Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui:<br>
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning. <br>
Proc. ACM Manag. Data 1(2): 186:1-186:26 (SIGMOD 2023)<br>
<br>
</li>
<li> Yuanpeng Li, Feiyu Wang, Xiang Yu, Yang Yilong, Kaicheng Yang, Tong Yang, Zhuo Ma, Bin Cui, Steve Uhlig<br>
"LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead"<br>
<em>ACM SIGMOD 2023</em><br>
<br>
</li>
<li> Zirui Liu, Yixin Zhang, Yifan Zhu, Ruwen Zhang, Tong Yang, kun xie, Sha Wang, Tao Li, and Bin Cui:<br>
"TowerSensing: Linearly Compressing Sketches with Flexibility"<br>
<em>SIGMOD 2023</em><br>
<br>
</li>
<li> Shiyue Huang, Ziwei Wang, Xinyi Zhang, Yaofeng Tu, zhongliang Li, and Bin Cui:<br>
"DBPA: A Benchmark for Transactional Database Performance Anomalies" <br>
<em>SIGMOD 2023</em><br>
<br>
</li>
<li> Yikai Zhao, Wenchen Han, Zheng Zhong, Yinda Zhang, Tong Yang, and Bin Cui:<br>
"Double-Anonymous Sketch: Achieving Fairness for Finding Global Top-K Frequent Items" <br>
<em>SIGMOD 2023</em><br>
<br>
</li>
<li> Feiyu Wang, Qizhi Chen, Yuanpeng Li, Tong Yang, Yaofeng Tu, Lian Yu, and Bin Cui:<br>
"JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation"<br>
<em>SIGMOD 2023</em><br>
<br>
</li>
<li> Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, and Bin Cui:<br>
"FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement"<br>
<em>SIGMOD 2023</em><br>
<br>
</li>
<li> Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui:<br>
"Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism" <br>
<em>VLDB 2023 (Proc. VLDB Endow. 16(3): 470-479) </em><br>
<br>
</li>
<li> Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, and Bin Cui: <br>
"Towards Designing and Learning Piecewise Space-Filling Curves"<br>
<em>VLDB 2023</em><br>
<br>
</li>
<li> Xupeng Miao, Yining Shi, Zhi Yang, Bin Cui, and Zhihao Jia:<br>
"SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training"<br>
<em>VLDB 2023</em><br>
<br>
</li>
<li> Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, and Bin Cui:<br>
"Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent" <br>
<em>VLDB 2023 (Industry)</em><br>
<br>
</li>
<li> Yang Li, Huaijun Jiang, Yu Shen, yide fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, and Bin Cui:<br>
"Towards General and Efficient Online Tuning for Spark" <br>
<em>VLDB 2023 (Industry)</em><br>
<br>
</li>
<li> Xu Xie, Jin Niu, Lifang Deng, Dan Wang, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Gang Cao, and Bin Cui:<br>
"Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate Prediction" <br>
<em>ICDE 2023</em><br>
<br>
</li>
<li> Zirui Liu, Chaozhe Kong, Kaicheng Yang, Tong Yang, Ruijie Miao, Qizhi Chen, Yikai Zhao, Yaofeng Tu, and Bin Cui:<br>
"HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams" <br>
<em>ICDE 2023<br>
<br>
</em></li>
<li>Yuhan Wu, Siyuan Dong, Yi Zhou, Yikai Zhao, Fangcheng Fu, Tong Yang, Chaoyue Niu, Fan Wu, and Bin Cui:<br>
"KVSAgg: Secure Aggregation of Distributed Key-Value Sets<em>"</em><br>
<em>ICDE 2023 </em><br>
<br>
</li>
<li> Zhuochen Fan, Jiarui Guo, Xiaodong Li, Tong Yang, Yikai Zhao, Yuhan Wu, Bin Cui, Yanwei Xu, Steve Uhlig, Gong Zhang:<br>
"Finding Simplex Items in Data Streams"<br>
<em>ICDE 2023</em><br>
<br>
</li>
<li> Ruijie Miao, Fenghao Dong, Yikai Zhao, Yiming Zhao, Yuhan Wu, Kaicheng Yang, Tong Yang, and Bin Cui: <br>
"SketchConf: A Framework for Automatic Sketch Configuration"<br>
<em>ICDE 2023</em><br>
<br>
</li>
<li> Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu,
Huanchen Zhang, and Bin Cui: <br>
"REncoder: A Space-Time Efficient Range Filter with Local Encoder"<br>
<em>ICDE 2023</em><br>
<br>
</li>
<li> Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Xu Huanyong, Di Peng, Yang Li, Wentao Zhang, and Bin CUI:<br>
"Rover: An online Spark SQL tuning service via generalized transfer learning"<br>
<em>KDD 2023</em><br>
<br>
</li>
<li> Jiarui Guo, Yisen Hong, Yuhan Wu, Yunfei Liu, Tong Yang, and Bin CUI:<br>
"SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch"<br>
<em>KDD 2023</em><br>
<br>
</li>
<li> Ruijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang, and Bin CUI:<br>
"Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream"<br>
<em>KDD 2023</em><br>
<br>
</li>
<li> Yuhan Wu, Shiqi Jiang, Siyuan Dong, Zheng Zhong, Jiale Chen, Hu Yutong, Tong Yang, Bin CUI, and Uhlig Steve:<br>
"MicroscopeSketch: Accurate Sliding Estimation Using Adaptive Zooming"<br>
<em>KDD 2023</em><br>
<br>
</li>
<li>Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui: <br>
"Improving Diffusion-Based Image Synthesis with Context Prediction"<br>
<em>NeurIPS 2023</em><br>
<br>
</li>
<li> Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui: <br>
"Model-enhanced Vector Index"<br>
<em>NeurIPS 2023</em><br>
<br>
</li>
<li> Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui:<br>
"Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference"<br>
<em>MLSys Workshop NeurIPS 2023</em><br>
<br>
</li>
<li> Jiasheng Zhang, Jie Shao, and Bin Cui: <br>
"StreamE: Lightweight Updates of Representations for Temporal
Knowledge Graphs in Streaming Scenarios<em>"</em><br>
<em>SIGIR 2023 <br>
<br>
</em></li>
<li>Ziyu Guo, Renrui Zhang, Longtian Qiu, xianzheng ma, Xupeng Miao, Xuming He, and Bin Cui:<br>
"CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention"<br>
<em>AAAI 2023</em><br>
<br>
</li>
<li> Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, and Bin Cui:<br>
"ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies" <br>
<em>AAAI 2023</em><br>
<br>
</li>
<li>Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong:<br>
“Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning”<br>
<em>CIKM 2023: 4380-4384</em><br>
<br>
</li>
<li> Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui:<br>
“OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning” <br>
<em>IJCAI 2023: 2142-2150</em><br>
<br>
</li>
<li> Zeang Sheng, Wentao Zhang, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang and Bin Cui:<br>
"Graph-Enforced Neural Network for Attributed Graph Clustering"<br>
<em>APWeb-WAIM 2023 (Best Paper Runner Up Award)</em><br>
<br>
</li>
<li> Xiaodong Li, Zhuochen Fan, Haoyu Li, Zheng Zhong, Jiarui Guo, Sheng Long, Tong Yang, Bin Cui:<br>
“SteadySketch: Finding Steady Flows in Data Streams”<br>
<em>IWQoS 2023: 1-9</em><br>
<br>
</li>
<li> Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, and Bin Cui:<br>
"Graph Neural Networks in Recommender Systems: A Survey"<br>
<em> ACM Computing Surveys</em><span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationVolume"><em> 55</em></span><em>(5): 97:1-97:37 (2023)</em><br>
<br>
</li>
<li> Xupeng Miao, Xiaonan Nie, Hailin Zhang, Tong Zhao, and Bin Cui: <br>
"Hetu: a highly efficient automatic parallel distributed deep learning system"<br>
<em>Sci China Inf Sci, 2023, 66: 117101</em><br>
<br>
</li>
<li> Shiyue HUANG, Yanzhao QIN, Xinyi ZHANG, Yaofeng TU, Zhongliang LI, Bin CUI:<br>
"A Survey on Performance Optimization for Database Systems"<br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><em>Sci. China Inf. Sci.</em></span><em> 66(2) (2023)</em><br>
<br>
</li>
<li> Xupeng Miao, Wentao Zhang, Yingxia Shao, Lei Chen, Ce Zhang, Jiawei Jiang, Bin Cui: <br>
"Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture"<br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><em>IEEE Trans. Knowl. Data Eng.</em></span><em> 35(2): 1721-1733 (2023) (ICDE conference 2022 Poster)</em><br>
<br>
</li>
<li>Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui: <br>
"DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion"<br>
<em><span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><span itemprop="name">IEEE Trans. Knowl. Data Eng.</span></span> <span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationVolume"><span itemprop="volumeNumber">35</span></span>(<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationIssue"><span itemprop="issueNumber">3</span></span>): <span itemprop="pagination">2486-2499</span> (<span itemprop="datePublished">2023</span>) (ICDE conference 2022 Poster)</em><br>
<br>
</li>
<li> Xiangyang Gou, Yinda Zhang, Zhoujing Hu, Long He, Ke Wang, Xilai Liu, Tong Yang, Yi Wang and Bin Cui:<br>
"A Sketch Framework for Approximate Data Stream Processing in Sliding Windows" <br>
<em> IEEE Trans. Knowl. Data Eng. 35(5): 4411-4424 (2023)</em><br>
<br>
</li>
<li>Zhuochen Fan, Gang Wen, Zhipeng Huang, Yang Zhou, Qiaobin Fu, Tong Yang, Alex X. Liu, Bin Cui:<br>
“On the Evolutionary of Bloom Filter False Positives - An Information Theoretical Approach to Optimizing Bloom Filter Parameters”<br>
IEEE Trans. Knowl. Data Eng. 35(7): 7316-7327 (2023)<br>
<br>
</li>
<li> Xiangyang Gou, Yinda Zhang, Zhoujing Hu, Long He, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui:<br>
“A Sketch Framework for Approximate Data Stream Processing in Sliding Windows”<br>
<em>IEEE Trans. Knowl. Data Eng. 35(5): 4411-4424 (2023)</em><br>
<br>
</li>
<li> Zhuochen Fan, Yubo Zhang, Siyuan Dong, Yi Zhou, Fangyi Liu, Tong Yang, Steve Uhlig, Bin Cui:<br>
“HoppingSketch: More Accurate Temporal Membership Query and Frequency Query”<br>
<em>IEEE Trans. Knowl. Data Eng. 35(9): 9067-9072 (2023)</em><br>
<br>
</li>
<li> Shuang Liang, Jie Shao, Jiasheng Zhang, Bin Cui:<br>
“Graph-Based Non-Sampling for Knowledge Graph Enhanced Recommendation”<br>
IEEE Trans. Knowl. Data Eng. 35(9): 9462-9475 (2023)<br>
<br>
</li>
<li> Ruijie Miao, Zheng Zhong, Jiarui Guo, Zikun Li, Tong Yang, Bin Cui:<br>
“BurstSketch: Finding Bursts in Data Streams” <br>
<em>IEEE Trans. Knowl. Data Eng. 35(11): 11126-11140 (2023)</em><br>
<br>
</li>
<li> Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:<br>
“AutoML for Deep Recommender Systems: A Survey”<br>
<em>ACM Trans. Inf. Syst. 41(4): 101:1-101:38 (2023)</em><br>
<br>
</li>
<li> Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui:<br>
"P2CG: A Privacy Preserving Collaborative Graph Neural Network Training Framework"<br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><em>VLDB J.</em></span><em> 32(4): 717-736 (2023)</em><br>
<br>
</li>
<li>Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui:<br>
"VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition"<br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><em>VLDB J.</em></span><em> 32(2): 389-413 (2023)</em><br>
<br>
</li>
<li>Jun Gao, Jiazun Chen, Bin Cui:<br>
"ICS-GNN+: Lightweight Interactive Community Search via Graph Neural Network"<br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><em>VLDB J.</em></span><em> 32(2): 447-467 (2023)</em></li>
</ol>
<p>2022</p>
<ol style="position: relative">
<li>Jiawei Jiang, Bin Cui, Ce Zhang:<br>
"Distributed Machine Learning and Gradient Optimization" <br>
<em>Springer 2022, ISBN 978-981-16-3419-2, pp. 1-169 (<strong>Book</strong>)</em><br>
<br>
</li>
<li> Xupeng Miao, Yining Shi, Hailin Zhang, Xin Zhang, Xiaonan Nie, Zhi Yang, Bin Cui: <br>
"HET-GMP: a Graph-based System Approach to Scaling Large Embedding Model Training"<br>
<em><span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/BookSeries"><span itemprop="name">SIGMOD Conference</span></span> <span itemprop="datePublished">2022</span>: <span itemprop="pagination">470-480</span><br>
<br>
</em></li>
<li><em> </em>Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, and Bin Cui:<br>
"BlindFL: Vertical Federated Machine Learning without Peeking into Your Data"<br>
<em><span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/BookSeries"><span itemprop="name">SIGMOD Conference</span></span> <span itemprop="datePublished">2022</span>: <span itemprop="pagination">1316-1330</span><br>
</em><br>
</li>
<li>Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, and Bin Cui:<br>
"Towards Dynamic and Safe Configuration Tuning for Cloud Databases"<br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/BookSeries"><em>SIGMOD Conference</em></span><em> 2022: 631-645</em><br>
<br>
</li>
<li> Yikai Zhao, Yinda Zhang, Yuanpeng Li, Yi Zhou, Chunhui Chen, Tong Yang, and Bin Cui <br>
"MinMax Sampling: A Near-optimal Global Summary for Aggregation in the Wide Area"<br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/BookSeries"><em>SIGMOD Conference</em></span><em> 2022: 744-758</em><br>
<br>
</li>
<li> Yahui Sun, Shuai Ma, Bin Cui:<br>
"Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties"<br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/BookSeries"><em>SIGMOD Conference</em></span><em> 2022: 874-888</em><br>
<br>
</li>
<li>Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:<br>
"HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework"<br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><em>Proc. VLDB Endow.</em></span><em> 15(2): 312-320 （2022） <strong>SDS Best Paper Award <br>
<br>
</strong></em></li>
<li> Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui :<br>
"Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation" <br>
<em><span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><span itemprop="name">Proc. VLDB Endow.</span></span> <span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationVolume"><span itemprop="volumeNumber">15</span></span>(<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationIssue"><span itemprop="issueNumber">4</span></span>): <span itemprop="pagination">752-765</span> (<span itemprop="datePublished">2022</span>)<br>
<br>
</em></li>
<li>Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:<br>
"Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale"<br>
<em><span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><span itemprop="name">Proc. VLDB Endow.</span></span> <span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationVolume"><span itemprop="volumeNumber">15</span></span>(<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationIssue"><span itemprop="issueNumber">6</span></span>): <span itemprop="pagination">1256-1265</span> (<span itemprop="datePublished">2022</span>)<br>
<br>
</em></li>
<li>Haoyu Li, Qizhi Chen, Yixin Zhang, Tong Yang, Bin Cui<br>
"Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation"<em><br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><span itemprop="name">Proc. VLDB Endow.</span></span> <span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationVolume"><span itemprop="volumeNumber">15</span></span>(<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationIssue"><span itemprop="issueNumber">7</span></span>): <span itemprop="pagination">1426-1438</span> (<span itemprop="datePublished">2022</span>)</em><br>
<br>
</li>
<li>Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen:<br>
"An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs"<br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><em>Proc. VLDB Endow.</em></span><em> 15(8): 1619-1631 (2022)</em><br>
<br>
</li>
<li>Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui:<br>
"Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation"<em><br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><span itemprop="name">Proc. VLDB Endow.</span></span> <span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationVolume"><span itemprop="volumeNumber">15</span></span>(<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationIssue"><span itemprop="issueNumber">9</span></span>): <span itemprop="pagination">1808-1821</span> (<span itemprop="datePublished">2022</span>)</em><br>
<br>
</li>
<li>Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui: <br>
"Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Update"<em><br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><span itemprop="name">Proc. VLDB Endow.</span></span> <span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationVolume"><span itemprop="volumeNumber">15</span></span>(<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationIssue"><span itemprop="issueNumber">10</span></span>): <span itemprop="pagination">2111-2120</span> (<span itemprop="datePublished">2022</span>)<br>
<br>
</em></li>
<li>Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding,
Bin Cui:<br>
"Contrastive Learning for Sequential Recommendation"<br>
<em>ICDE Conference 2022: 1259-1273</em><br>
<br>
</li>
<li> Yikai Zhao, Yubo Zhang, Pu Yi, Tong Yang, Bin Cui,Uhlig Steve:<br>
"The Stair Sketch: Bringing more Clarity to Memorize Recent Events" <br>
<em>ICDE Conference 2022: 164-177</em><br>
<br>
</li>
<li> Zhuochen Fan, Yinda Zhang, Tong Yang, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui:<br>
"PeriodicSketch: Finding Periodic Items in Data Streams"<br>
<em>ICDE Conference 2022: 96-109</em><br>
<br>
</li>
<li>Sicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui, and Jianxin Li:<br>
"HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache"<br>
<em>ICDE Conference 2022: 1754-1766<br>
</em><br>
</li>
<li> Xiaonan Nie, Xupeng Miao, Zhi Yang, and Bin Cui: <br>
"TSplit: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting"<br>
<em>ICDE Conference 2022: 2615-2628</em><br>
<br>
</li>
<li> Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui: <br>
"ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest"<br>
<em>ICDE Conference 2022: <span itemprop="pagination">2224-2236</span></em><br>
<br>
</li>
<li>Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui: <br>
"TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning"<br>
<em>KDD 2022: <span itemprop="pagination">956-966</span><br>
</em><br>
</li>
<li>Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui: <br>
"Transfer Learning based Search Space Design for Hyperparameter Tuning"<br>
<em>KDD 2022</em>: <span itemprop="pagination">967-977</span><br>
<br>
</li>
<li>Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui: <br>
"Model Degradation Hinders Deep Graph Neural Networks"<br>
<em>KDD 2022: 2493-2503</em><br>
<br>
</li>
<li>Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, wen ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:<br>
"Graph Attention Multi-Layer Perceptron"<br>
<em>KDD 2022: 4560-4570</em><br>
<br>
</li>
<li>Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui: <br>
"Analyzing Online Transaction Networks with Network Motifs"<br>
<em>KDD 2022: <span itemprop="pagination">3098-3106</span><br>
</em><br>
</li>
<li>Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui: <br>
"NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning"<br>
<em>ICML 2022: 26467-26483</em><br>
<br>
</li>
<li> Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Zhi Yang, Bin Cui: <br>
"Deep and Flexible Graph Neural Architecture Search"<br>
<em>ICML 2022: 26362-26374</em><br>
<br>
</li>
<li> Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang,Yangyu Tao, Zhi Yang, Bin Cui:<br>
"PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm"<br>
<em>Web Conference 2022: <span itemprop="pagination">1817-1828</span></em> <em>(<strong>Best Student Paper Award</strong>)</em><br>
<br>
</li>
<li>Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin CUI:<br>
"DivBO: Diversity-aware CASH for Ensemble Learning"<br>
<em>NeurIPS 2022</em><br>
<br>
</li>
<li> Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin CUI:<br>
"Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels" <br>
<em>ICLR 2022</em><br>
<br>
</li>
<li> Renrui Zhang, Ziyu Guo, Zhang Wei, Peng Gao, Kunchang Li, Xupeng Miao, Yu Qiao, Hongsheng Li, Bin Cui: <br>
"PointCLIP: Point Cloud Understanding by CLIP"<br>
<em>CVPR 2022: 8542-8552</em><br>
<br>
</li>
<li>Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui:<br>
Scalable Graph Sampling on GPUs with Compressed Graph. <br>
<em>CIKM 2022: 2383-2392</em><br>
<br>
</li>
<li>Long Guo, Fei Fang, Binqiang Zhao, Bin Cui:<br>
UDM: A Unified Deep Matching Framework in Recommender Systems. <br>
<em>CIKM 2022: 3122-3130</em><br>
<br>
</li>
<li> Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao and Bin Cui:<br>
"K-Core Decomposition on Super Large Graphs with Limited Resources"<br>
<em>ACM SAC 2022: <span itemprop="pagination">413-422</span><br>
</em><br>
</li>
<li> Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:<br>
"CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs"<br>
<em>IEEE Trans. Knowl. Data Eng. 34(9): 4119-4132 (2022)<br>
<br>
</em></li>
<li>Shiyu Cheng, Dongsheng Yang, Tong Yang, Haowei Zhang, Bin Cui:<br>
"LTC: A Fast Algorithm to Accurately Find Significant Items in Data Streams"<br>
IEEE Trans. Knowl. Data Eng. 34(9): 4342-4356 (2022)<br>
<br>
</li>
<li>Yuhan Wu, Jintao He, Shen Yan, Jianyu Wu, Tong Yang, Olivier Ruas, Gong Zhang, Bin Cui. <br>
"
Elastic Bloom Filter: Deletable and Expandable Filter Using Elastic Fingerprints". <br>
<em>Transactions on Computers 71(4): 984-991 (2022)</em><br>
<br>
</li>
<li> Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui:<br>
"LECF: recommendation via learnable edge collaborative filtering"<br>
<em>Sci. China Inf. Sci. 65(1) (2022)</em><br>
<br>
</li>
<li> Huabing Ke, Sunling Gong,Jianjun He, Lei Zhang, Bin Cui, Yaqiang Wang, Jingyue Mo, Yike Zhou, Huan Zhang:<br>
"Development and application of an automated air quality forecasting system based on machine learning"<br>
<em>Science of The Total Environment,806 (2022) 151204</em><br>
<br>
</li>
<li>Yang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui:<br>
"AutoDC: an automatic machine learning framework for disease classification" <br>
<em>Bioinform. 38(13): 3415-3421 (2022)</em></li>
</ol>
<p>2021</p>
<ol style="position: relative">
<li style="position: static">Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang,
Lingxiao Ma, Bin Cui:<br>
"Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce"<br>
<em>SIGMOD Conference 2021: 2262-2270</em><br>
<br>
</li>
<li>Zheng Zhong, Shen Yan, Zikun Li, Decheng Tan, Tong Yang, Bin Cui:<br>
"BurstSketch: Finding Bursts in Data Streams" <br>
<em>SIGMOD Conference 2021: 2375-2383</em><br>
<br>
</li>
<li style="position: static">Fangcheng Fu,Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui:<br>
"VF^2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning"<br>
<em>SIGMOD Conference 2021: 563-576</em><br>
<br>
</li>
<li>Xinyi Zhang, HONG WU, Chang Zhuo, Tieying Zhang, Shuowei Jin, Jian Tan, Feifei Li, Bin Cui:<br>
"ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases" <br>
<em>SIGMOD Conference 2021: 2102-2114</em><br>
<br>
</li>
<li> Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui :<br>
"ALG: Fast and Accurate Active Learning Framework for GraphConvolutional Networks"<br>
<em>SIGMOD Conference 2021: 2366-2374</em><br>
<br>
</li>
<li> Yinda Zhang, Jinyang Li, Yutian Lei, Tong Yang, Zhetao Li, Gong Zhang, Bin Cui:<br>
"On-Off Sketch: A Fast and Accurate Sketch on Persistence" <br>
<em>VLDB 2021<a href="https://dblp.org/db/journals/pvldb/pvldb14.html#ZhangLL0LZ020"> 14(2)</a>: 128-140<br>
</em><br>
</li>
<li> Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui :<br>
"EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge"<br>
<em>VLDB 2021 <a href="https://dblp.org/db/journals/pvldb/pvldb14.html#GuoHJFZ020">14(3)</a>: 320-328</em><br>
<br>
</li>
<li> Yahui Sun, Xiaokui Xiao, Bin Cui, Saman Halgamuge, Theodoros Lappas, Jun Luo:<br>
"Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights" <br>
<em>VLDB 2021 <a href="https://dblp.org/db/journals/pvldb/pvldb14.html#SunX0HL021">14(7)</a>: 1137-1149</em><br>
<br>
</li>
<li>Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:<br>
"FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation"<br>
<em>VLDB 2021 <a href="https://dblp.org/db/journals/pvldb/pvldb14.html#LiSZJLDZY00021">14(11)</a>: 2167-2176</em><br>
<br>
</li>
<li> Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:<br>
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. <br>
<em>VLDB 2021 14(11): 2167-2176</em><br>
<br>
</li>
<li> Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:<br>
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. <br>
<em>VLDB 2021 14(11): 2473-2482</em><br>
<br>
</li>
<li> 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:<br>
"DeGNN: Improving Graph Neural Networks with Graph Decomposition"<br>
<em>KDD 2021: 1223-1233</em><br>
<br>
</li>
<li> Wentao Zhang, Jiang Yuezihan, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:<br>
"ROD: Reception-aware Online Distillation for Sparse Graphs"<br>
<em>KDD 2021: 2232-2242</em><br>
<br>
</li>
<li> Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huai Jun Jiang, Ming Chao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui: <br>
"OpenBox: A Generalized Black-​box Optimization Service"<br>
<em>KDD 2021: 3209-3219<br>
</em><br>
</li>
<li> Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen:<br>
"UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling"<br>
<em>ICDE 2021: 516-527</em><br>
<br>
</li>
<li> Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui:<br>
"Explore User Neighborhood for Real-time E-commerce Recommendation"<br>
<em>ICDE 2021: 2464-2475</em><br>
<br>
</li>
<li> Rong Zhu, Andreas Pfadler, Yuxing Han, Xiaoke Yang, Feng Ye, Zhengping Qian, Jingren Zhou, Bin Cui:<br>
"Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications"<br>
<em>ICDE 2021: 2613-2624</em><br>
<br>
</li>
<li> Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:<br>
"CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs"<br>
<em>ICDE 2021: 2330-2331 (TKDE Poster)</em><br>
<br>
</li>
<li> Yikuan Xia, Jun Gao, Bin Cui:<br>
"iMap: Incremental Node Mapping between Large Graphs Using GNN"<br>
<em>CIKM 2021: 2191-2200</em><br>
<br>
</li>
<li> Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:<br>
"CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation"<br>
<em>CIKM 2021: 4253-4263</em><br>
<br>
</li>
<li> Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui:<br>
"MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements" <br>
<em>AAAI 2021: 8491-8500</em><br>
<br>
</li>
<li> Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui<br>
"Challenges and Opportunities of Building Fast GBDT Systems"<br>
<em>IJCAI 2021: 4661-4668</em><br>
<br>
</li>
<li> Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui<br>
Node
Dependent Local Smoothing for Scalable Graph Learning<br>
<em>NeurIPS 2021</em><br>
<br>
</li>
<li> Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui<br>
RIM:
Reliable Influence-based Active Learning on Graphs<br>
<em>NeurIPS 2021</em><br>
<br>
</li>
<li> <span itemprop="author" itemscope="" itemtype="http://schema.org/Person"><span itemprop="name" title="Jie Gu">Jie Gu</span></span>, <span itemprop="author" itemscope="" itemtype="http://schema.org/Person"><span itemprop="name">Bin Cui</span></span>, <span itemprop="author" itemscope="" itemtype="http://schema.org/Person"><span itemprop="name" title="Shan Lu">Shan Lu</span></span>:<br>
<span itemprop="name">"A classification framework for multivariate compositional data with Dirichlet feature embedding</span>" <br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><em>Knowl. Based Syst.</em></span><em> 212: 106614 (2021)</em><br>
<br>
</li>
<li> <span itemprop="author" itemscope="" itemtype="http://schema.org/Person"><span itemprop="name" title="Shiwen Wu">Shiwen Wu</span></span>, <span itemprop="author" itemscope="" itemtype="http://schema.org/Person"><span itemprop="name" title="Yuanxing Zhang">Yuanxing Zhang</span></span>, <span itemprop="author" itemscope="" itemtype="http://schema.org/Person"><span itemprop="name" title="Wentao Zhang">Wentao Zhang</span></span>, <span itemprop="author" itemscope="" itemtype="http://schema.org/Person"><span itemprop="name" title="Kaigui Bian">Kaigui Bian</span></span>, <span itemprop="author" itemscope="" itemtype="http://schema.org/Person"><span itemprop="name">Bin Cui</span></span>:<br>
<span itemprop="name">'Enhanced review-based rating prediction by exploiting aside information and user influence"</span> <br>
<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/Periodical"><em>Knowl. Based Syst.</em></span><em> 222: 107015 (2021)<br>
</em><br>
</li>
<li> Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu and Bin Cui:<br>
"Sys-TM: A Fast and General Topic Modeling System"<br>
<em>TKDE 2021 <a href="https://dblp.org/db/journals/tkde/tkde33.html#ShaoLCYC21">33(6)</a>: 2790-2802</em><br>
<br>
</li>
<li> Yingxia Shao, Shiyue Huang, Yawen L, Xupeng Miao, Bin Cui, Lei Chen:<br>
"Memory-Aware Framework for Fast and Scalable Second-Order
Random Walk over Billion-Edge Natural Graphs"<br>
<em>VLDBJ 2021 <a href="https://dblp.org/db/journals/vldb/vldb30.html#ShaoHLMCC21">30(5)</a>: 769-797</em><br>
<br>
</li>
<li> Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li::<br>
"Model averaging in distributed machine learning: a case study with Apache Spark"<br>
<em>VLDBJ 2021<a href="https://dblp.org/db/journals/vldb/vldb30.html#GuoZJWZCL21"> 30(4)</a>: 693-712</em></li>
</ol>
<p><font color="#000080"><B>2020</B></font></p>
<ol style="position: relative">
<li><font color="#000080">Yingxia Shao, Bin Cui, Lei Chen:<br>
"Large-scale Graph Analysis: System, Algorithm and Optimization". <br>
<em>Springer 2020, ISBN 978-981-15-3927-5, pp. 1-146 (Book) </em><br>
<br>
</font></li>
<li><font color="#000080"> </font>Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, and Lei Chen:<br>
"
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs"<br>
<em>SIGMOD Conference 2020,1797-1812</em><br>
<br>
</li>
<li>Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui:<br>
"
Reliable Data Distillation on Graph Convolutional Network" <br>
<em>SIGMOD Conference 2020: 1399-1414</em><br>
<br>
</li>
<li> Yahui Sun, Jun Luo, Theodoros Lappas, Xiaokui Xiao, and Bin Cui:<br>
"
Hunting Multiple Bumps in Graphs"<br>
<em>VLDB 2020, <a href="https://dblp.org/db/journals/pvldb/pvldb13.html#SunLLXC20">13(5)</a>: 656-669 </em><br>
<br>
</li>
<li><font color="#000080">Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, and Bin Cui:<br>
“
Efficient Automatic CASH via Rising Bandits”<br>
<em>AAAI 2020: 4763-4771 </em><br>
<br>
</font></li>
<li>Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, and Ce Zhang :<br>
"ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent"<br>
<em>ICDE Conference 2020:1513-1524</em><br>
<br>
</li>
<li><font color="#000080">Wentao Zhang, Jiawei Jiang, Yingxia Shao, and Bin Cui:<br>
“
Efficient Diversity-Driven Ensemble for Deep Neural Networks”<br>
<em>ICDE Conference 2020</em></font><em>:73-84</em><br>
<br>
</li>
<li> Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, and Lizhen Cui:<br>
"Group Recommendation with Latent Voting Mechanism"<br>
<em>ICDE Conference 2020:121-132</em><br>
<br>
</li>
<li><font color="#000080">Jiawei Jiang, Pin Xiao, Lele Yu, Xiaosen Li, Jiefeng Cheng, Xupeng Miao, zhipeng zhang, and Bin Cui:<br>
“PSGraph: How Tencent trains large-scale graphs with Spark?”<br>
<em>ICDE Conference 2020</em></font><em>:1549-1557</em><br>
<br>
</li>
<li> Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui:<br>
"Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript"<br>
<em>ICML 2020: 3304-3314</em><br>
<br>
</li>
<li> Xiangyang Gou, Long He, Yinda Zhang, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui:<br>
"Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows" <br>
<em>KDD 2020: 1015-1025</em><br>
<br>
</li>
<li> Jizhou Li, Zikun Li, Yifei Xu, Shiqi Jiang, Tong Yang, Bin Cui, Yafei Dai, Gong Zhang:<br>
"WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams"<br>
<em>KDD 2020: 1574-1584</em><br>
<br>
</li>
<li><font color="#000080">Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:<br>
"Snapshot boosting: a fast ensemble framework for deep neural networks"<br>
<em>Sci. China Inf. Sci. 63(1): 112102 (2020)</em><br>
<br>
</font></li>
<li><font color="#000080">Shiwen Wu, Yuanxing Zhang, Chengliang Gao, Kaigui Bian, Bin Cui:<br>
"GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network"<br>
<em>Data Sci. Eng. 5(4): 433-447 (2020)</em></font><br>
<br>
</li>
<li> Lingtong Liu, Yulong Shen, Yibo Yan, Tong Yang, Muhammad Shahzad, Bin Cui, Gaogang Xie:<br>
"SF-Sketch: A Two-Stage Sketch for Data Streams"<br>
<em>IEEE Trans. Parallel Distributed Syst. 31(10): 2263-2276 (2020)</em><br>
<br>
</li>
<li><font color="#000080">Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui. <br>
"SKCompress: Compressing Sparse and Nonuniform Gradient in Distributed Machine Learning." <br>
<em>VLDB Journal 2020, <a href="https://dblp.org/db/journals/vldb/vldb29.html#JiangFYSC20"><span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationVolume"><span itemprop="volumeNumber">29</span></span>(<span itemprop="isPartOf" itemscope="" itemtype="http://schema.org/PublicationIssue"><span itemprop="issueNumber">5</span></span>)</a>: <span itemprop="pagination">945-972</span> (<span itemprop="datePublished">2020</span>)</em></font><font color="#000080"><br>
</font></li>
</ol>
<p><font color="#000080"><B>2019</B></font></p>
<ol style="position: relative">
<li style="position: static">Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao:<br>
"PS2: Parameter Server on Spark"<br>
<em>SIGMOD Conference 2019: 376-388</em><br>
<br>
</li>
<li><font color="#000080">Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui:<br>
“An Experimental Evaluation of Large Scale GBDT Systems”<br>
<em>PVLDB 12(11): 1357-1370 (2019) </em><br>