Bin Cui

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 312

Top Venues

Publications

Zheng Liu, Hao Liang, Xijie Huang, Wentao Xiong, Qinhan Yu, Linzhuang Sun, Chong Chen, Conghui He, Bin Cui, Wentao Zhang
SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models. CoRR (2024)
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. ICDE (2024)
Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries. CoRR (2024)
Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui
Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs. CoRR (2024)
Hailin Zhang, Xiaodong Ji, Yilin Chen, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Weipeng Chen, Bin Cui
PQCache: Product Quantization-based KVCache for Long Context LLM Inference. CoRR (2024)
Linzhuang Sun, Hao Liang, Jingxuan Wei, Linkun Sun, Bihui Yu, Bin Cui, Wentao Zhang
Efficient-Empathy: Towards Efficient and Effective Selection of Empathy Data. CoRR (2024)
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
RobGC: Towards Robust Graph Condensation. CoRR (2024)
Hailin Zhang, Zirui Liu, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang, Bin Cui
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models. Proc. ACM Manag. Data 2 (1) (2024)
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. WWW (Companion Volume) (2024)
Miao Zheng, Hao Liang, Fan Yang, Haoze Sun, Tianpeng Li, Lingchu Xiong, Yan Zhang, Youzhen Wu, Kun Li, Yanjun Shen, Mingan Lin, Tao Zhang, Guosheng Dong, Yujing Qiao, Kun Fang, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou
PAS: Data-Efficient Plug-and-Play Prompt Augmentation System. CoRR (2024)
Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Bin Cui
Retrieval-Augmented Generation for AI-Generated Content: A Survey. CoRR (2024)
Wentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui
NC-ALG: Graph-Based Active Learning Under Noisy Crowd. ICDE (2024)
Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling. CoRR (2024)
Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Bin Cui
Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement. KDD (2024)
Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference. AAAI (2024)
Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui
VideoTetris: Towards Compositional Text-to-Video Generation. CoRR (2024)
Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia
SpotServe: Serving Generative Large Language Models on Preemptible Instances. ASPLOS (2) (2024)
Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. ICLR (2024)
Qizhi Chen, Ke Wang, Aoran Li, Yuhan Wu, Tong Yang, Bin Cui
Newton Sketches: Estimating Node Intimacy in Dynamic Graphs Using Newton's Law of Cooling. ICDE (2024)
Xupeng Miao, Zhihao Jia, Bin Cui
Demystifying Data Management for Large Language Models. SIGMOD Conference Companion (2024)
Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
Improving Diffusion-Based Image Synthesis with Context Prediction. CoRR (2024)
Qizhi Chen, Yisen Hong, Yuhan Wu, Tong Yang, Bin Cui
CodingSketch: A Hierarchical Sketch with Efficient Encoding and Recursive Decoding. ICDE (2024)
Bin Cui
Welcome to a New Era of the Data Science and Engineering Journal (DSE). Data Sci. Eng. 9 (1) (2024)
Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui
Structure-Guided Adversarial Training of Diffusion Models. CoRR (2024)
Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui
BIM: Improving Graph Neural Networks with Balanced Influence Maximization. ICDE (2024)
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang
Diffusion Models: A Comprehensive Survey of Methods and Applications. ACM Comput. Surv. 56 (4) (2024)
Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. CoRR (2024)
Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency. CoRR (2024)
Bin Xiao, Chunan Shi, Xiaonan Nie, Fan Yang, Xiangwei Deng, Lei Su, Weipeng Chen, Bin Cui
Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge. CoRR (2024)
Yuhan Wu, Hanbo Wu, Chengjun Jia, Bo Peng, Ziyun Zhang, Tong Yang, Peiqing Chen, Kaicheng Yang, Bin Cui
Scalable Overspeed Item Detection in Streams. ICDE (2024)
Zirui Liu, Fenghao Dong, Chengwu Liu, Xiangwei Deng, Tong Yang, Yikai Zhao, Jizhou Li, Bin Cui, Gong Zhang
WavingSketch: an unbiased and generic sketch for finding top-k items in data streams. VLDB J. 33 (5) (2024)
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. KDD (2024)
Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui
Acceleration Algorithms in GNNs: A Survey. CoRR (2024)
Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui
RealCompo: Dynamic Equilibrium between Realism and Compositionality Improves Text-to-Image Diffusion Models. CoRR (2024)
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. ICDE (2024)
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
BurstBalancer: Do Less, Better Balance for Large-Scale Data Center Traffic. IEEE Trans. Parallel Distributed Syst. 35 (6) (2024)
Wentao Zhang, Guochen Yan, Yu Shen, Yang Ling, Yangyu Tao, Bin Cui, Jian Tang
NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. SIGMOD Conference Companion (2024)
Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen
Distributed Graph Neural Network Training: A Survey. ACM Comput. Surv. 56 (8) (2024)
Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. CoRR (2024)
Hao Liang, Jiapeng Li, Tianyi Bai, Xijie Huang, Linzhuang Sun, Zhengren Wang, Conghui He, Bin Cui, Chong Chen, Wentao Zhang
KeyVideoLLM: Towards Large-scale Video Keyframe Selection. CoRR (2024)
Yuhan Wu, Aomufei Yuan, Zhouran Shi, Yuanpeng Li, Yikai Zhao, Peiqing Chen, Tong Yang, Bin Cui
Online Detection of Outstanding Quantiles with QuantileFilter. ICDE (2024)
Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. CoRR (2024)
Yuhan Wu, Feiyu Wang, Yifan Zhu, Zhuochen Fan, Zhiting Xiong, Tong Yang, Bin Cui
VisionEmbedder: Bit-Level-Compact Key-Value Storage with Constant Lookup, Rapid Updates, and Rare Failure. ICDE (2024)
Zhuochen Fan, Yalun Cai, Zirui Liu, Jiarui Guo, Xin Fan, Tong Yang, Bin Cui
CuckooGraph: A Scalable and Space-Time Efficient Data Structure for Large-Scale Dynamic Graphs. CoRR (2024)
Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui
HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. ICDE (2024)
Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR (2024)
Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. ICLR (2024)
Tianyi Bai, Hao Liang, Binwang Wan, Ling Yang, Bozhou Li, Yifan Wang, Bin Cui, Conghui He, Binhang Yuan, Wentao Zhang
A Survey of Multimodal Large Language Model from A Data-centric Perspective. CoRR (2024)
Zhuo Chang, Xinyi Zhang, Yang Li, Xupeng Miao, Yanzhao Qin, Bin Cui
MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian Optimization. ICDE (2024)
Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui
Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. ICDE (2024)
Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui
Experimental Analysis of Large-scale Learnable Vector Storage Compression. Proc. VLDB Endow. 17 (4) (2023)
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. CoRR (2023)
Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui
CG: a privacy preserving collaborative graph neural network training framework. VLDB J. 32 (4) (2023)
Zhuochen Fan, Jiarui Guo, Xiaodong Li, Tong Yang, Yikai Zhao, Yuhan Wu, Bin Cui, Yanwei Xu, Steve Uhlig, Gong Zhang
Finding Simplex Items in Data Streams. ICDE (2023)
Shiyue Huang, Ziwei Wang, Xinyi Zhang, Yaofeng Tu, Zhongliang Li, Bin Cui
DBPA: A Benchmark for Transactional Database Performance Anomalies. Proc. ACM Manag. Data 1 (1) (2023)
Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent. CoRR (2023)
Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. CoRR (2023)
Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui
Rover: An online Spark SQL tuning service via generalized transfer learning. CoRR (2023)
Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent. Proc. VLDB Endow. 16 (12) (2023)
Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Xiaonan Nie, Bin Cui
Improving Automatic Parallel Training via Balanced Memory Workload Optimization. CoRR (2023)
Ruijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang, Bin Cui
Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream. KDD (2023)
Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, Bin Cui
REncoder: A Space-Time Efficient Range Filter with Local Encoder. ICDE (2023)
Zeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
Graph-Enforced Neural Network for Attributed Graph Clustering. APWeb-WAIM (1) (2023)
Yikai Zhao, Wenchen Han, Zheng Zhong, Yinda Zhang, Tong Yang, Bin Cui
Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items. Proc. ACM Manag. Data 1 (1) (2023)
Huaijun Jiang, Yu Shen, Yang Li, Wentao Zhang, Ce Zhang, Bin Cui
OpenBox: A Python Toolkit for Generalized Black-box Optimization. CoRR (2023)
Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui
DivBO: Diversity-aware CASH for Ensemble Learning. CoRR (2023)
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection. CoRR (2023)
Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention. AAAI (2023)
Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui
VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition. VLDB J. 32 (2) (2023)
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
Model-enhanced Vector Index. NeurIPS (2023)
Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. CIKM (2023)
Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
Improving Diffusion-Based Image Synthesis with Context Prediction. NeurIPS (2023)
Feiyu Wang, Qizhi Chen, Yuanpeng Li, Tong Yang, Yaofeng Tu, Lian Yu, Bin Cui
JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation. Proc. ACM Manag. Data 1 (1) (2023)
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
AutoML for Deep Recommender Systems: A Survey. ACM Trans. Inf. Syst. 41 (4) (2023)
Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui
Towards General and Efficient Online Tuning for Spark. Proc. VLDB Endow. 16 (12) (2023)
Zhuochen Fan, Gang Wen, Zhipeng Huang, Yang Zhou, Qiaobin Fu, Tong Yang, Alex X. Liu, Bin Cui
On the Evolutionary of Bloom Filter False Positives - An Information Theoretical Approach to Optimizing Bloom Filter Parameters. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Tianyi Bai, Yang Li, Yu Shen, Xinyi Zhang, Wentao Zhang, Bin Cui
Transfer Learning for Bayesian Optimization: A Survey. CoRR (2023)
Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning. CoRR (2023)
Zirui Liu, Chaozhe Kong, Kaicheng Yang, Tong Yang, Ruijie Miao, Qizhi Chen, Yikai Zhao, Yaofeng Tu, Bin Cui
HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams. ICDE (2023)
Xupeng Miao, Yining Shi, Zhi Yang, Bin Cui, Zhihao Jia
SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training. Proc. VLDB Endow. 16 (9) (2023)
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq
Poisoning Attacks Against Contrastive Recommender Systems. CoRR (2023)
Jiasheng Zhang, Jie Shao, Bin Cui
StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios. SIGIR (2023)
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. CoRR (2023)
Xiaodong Li, Zhuochen Fan, Haoyu Li, Zheng Zhong, Jiarui Guo, Sheng Long, Tong Yang, Bin Cui
SteadySketch: Finding Steady Flows in Data Streams. IWQoS (2023)
Shuang Liang, Jie Shao, Jiasheng Zhang, Bin Cui
Graph-Based Non-Sampling for Knowledge Graph Enhanced Recommendation. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
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
Model-enhanced Vector Index. CoRR (2023)
Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui
Graph Neural Networks in Recommender Systems: A Survey. ACM Comput. Surv. 55 (5) (2023)
Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia
SpotServe: Serving Generative Large Language Models on Preemptible Instances. CoRR (2023)
Xinyi Zhang, Hong Wu, Yang Li, Zhengju Tang, Jian Tan, Feifei Li, Bin Cui
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning. Proc. VLDB Endow. 17 (3) (2023)
Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems. CoRR (2023)
Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR (2023)
Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, Bin Cui
Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization. Proc. ACM Manag. Data 1 (2) (2023)
Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui
Towards Designing and Learning Piecewise Space-Filling Curves. Proc. VLDB Endow. 16 (9) (2023)
Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. AAAI (2023)
Yuhan Wu, Shiqi Jiang, Siyuan Dong, Zheng Zhong, Jiale Chen, Yutong Hu, Tong Yang, Steve Uhlig, Bin Cui
MicroscopeSketch: Accurate Sliding Estimation Using Adaptive Zooming. KDD (2023)
Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Jiazun Chen, Jun Gao, Bin Cui
: lightweight interactive community search via graph neural network. VLDB J. 32 (2) (2023)
Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. Proc. ACM Manag. Data 1 (1) (2023)
Jiarui Guo, Yisen Hong, Yuhan Wu, Yunfei Liu, Tong Yang, Bin Cui
SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch. KDD (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bin Cui