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ORCIDBin Cui 0001
Person information
- affiliation: Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- affiliation (former): National University of Singapore, School of Computing, Singapore
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Bin Cui 0002 — Donghua University, College of Mechanical Engineering, Shanghai, China
- Bin Cui 0003
![[0000-0001-5258-8000]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5258-8000")
— Tsinghua University, Department of Electrical Engineering, Beijing, China - Bin Cui 0004 — Nanjing University, School of Geography and Ocean Science, China (and 3 more)
- Bin Cui 0005 — Shandong Normal University, School of Physics and Electronics, Jinan, China
- Bin Cui 0006 — Shanghai University, School of Communication and Information Engineering, China
- Bin Cui 0007 — Zhejiang University, Hangzhou, China
- Bin Cui 0008 — Shanghai Jiao Tong University, Department of Instrument Science and Engineering, China
- Bin Cui 0009 — Shandong University, School of Physics, State Key Laboratory for Crystal Materials, Jinan, China
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2020 – today
- 2024
[j127]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): 105:1-105:39 (2024)- [j126]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): 191:1-191:39 (2024) - [j125]Bin Cui:
Welcome to a New Era of the Data Science and Engineering Journal (DSE). Data Sci. Eng. 9(1): 1-2 (2024) - [j124]Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui:
OpenBox: A Python Toolkit for Generalized Black-box Optimization. J. Mach. Learn. Res. 25: 120:1-120:11 (2024) - [j123]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): 51:1-51:28 (2024) - [j122]Zeang Sheng, Wentao Zhang, Yangyu Tao, Bin Cui:
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine. Proc. VLDB Endow. 17(11): 2960-2973 (2024) - [j121]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): 682-693 (2024) - [j120]Fangcheng Fu, Xuanyu Wang, Jiawei Jiang, Huanran Xue, Bin Cui:
ProjPert: Projection-Based Perturbation for Label Protection in Split Learning Based Vertical Federated Learning. IEEE Trans. Knowl. Data Eng. 36(7): 3417-3428 (2024) - [j119]Zirui Liu, Xiangyuan Wang, Yuhan Wu, Tong Yang, Kaicheng Yang, Hailin Zhang, Yaofeng Tu, Bin Cui:
A Unified Framework for Mining Batch and Periodic Batch in Data Streams. IEEE Trans. Knowl. Data Eng. 36(11): 5544-5561 (2024) - [j118]Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang:
Graphusion: Latent Diffusion for Graph Generation. IEEE Trans. Knowl. Data Eng. 36(11): 6358-6369 (2024) - [j117]Zhuochen Fan, Xiangyuan Wang, Xiaodong Li, Jiarui Guo, Wenrui Liu, Haoyu Li, Sheng Long, Zheng Zhong, Tong Yang, Xuebin Chen, Bin Cui:
SteadySketch: A High-Performance Algorithm for Finding Steady Flows in Data Streams. IEEE/ACM Trans. Netw. 32(6): 5004-5019 (2024) - [j116]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): 777-794 (2024) - [j115]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): 1697-1722 (2024) - [j114]Zhuochen Fan, Bowen Ye, Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Zirui Liu, Bin Cui:
Enabling space-time efficient range queries with REncoder. VLDB J. 33(6): 1837-1859 (2024) - [c213]Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui:
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference. AAAI 2024: 16605-16613 - [c212]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: 1112-1127 - [c211]Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Kaigui Bian, Bin Cui:
MultiLoRA: Multi-Directional Low Rank Adaptation for Multi-Domain Recommendation. CIKM 2024: 2148-2157 - [c210]Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui:
Structure-Guided Adversarial Training of Diffusion Models. CVPR 2024: 7256-7266 - [c209]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: 831-844 - [c208]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: 1157-1170 - [c207]Qizhi Chen, Yisen Hong, Yuhan Wu, Tong Yang, Bin Cui:
CodingSketch: A Hierarchical Sketch with Efficient Encoding and Recursive Decoding. ICDE 2024: 1592-1605 - [c206]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: 2598-2611 - [c205]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: 2681-2694 - [c204]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: 2779-2791 - [c203]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: 2820-2833 - [c202]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: 2904-2916 - [c201]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: 2931-2944 - [c200]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: 3042-3055 - [c199]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: 4248-4261 - [c198]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: 4343-4356 - [c197]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 - [c196]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 - [c195]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 - [c194]Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui:
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. ICML 2024 - [c193]Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui:
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling. IJCAI 2024: 8179-8187 - [c192]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: 2745-2754 - [c191]Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq:
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. KDD 2024: 3311-3322 - [c190]Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang:
NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. SIGMOD Conference Companion 2024: 414-427 - [c189]Xupeng Miao, Zhihao Jia, Bin Cui:
Demystifying Data Management for Large Language Models. SIGMOD Conference Companion 2024: 547-555 - [c188]Hao Ge, Fangcheng Fu, Haoyang Li, Xuanyu Wang, Sheng Lin, Yujie Wang, Xiaonan Nie, Hailin Zhang, Xupeng Miao, Bin Cui:
Enabling Parallelism Hot Switching for Efficient Training of Large Language Models. SOSP 2024: 178-194 - [c187]Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui:
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. WWW (Companion Volume) 2024: 1280-1283 - [i122]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 abs/2401.02015 (2024) - [i121]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 abs/2401.11708 (2024) - [i120]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 abs/2402.12908 (2024) - [i119]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 abs/2402.16627 (2024) - [i118]Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui:
Structure-Guided Adversarial Training of Diffusion Models. CoRR abs/2402.17563 (2024) - [i117]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 abs/2402.19473 (2024) - [i116]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 abs/2403.07331 (2024) - [i115]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 abs/2405.00263 (2024) - [i114]Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui:
Acceleration Algorithms in GNNs: A Survey. CoRR abs/2405.04114 (2024) - [i113]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 abs/2405.14578 (2024) - [i112]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 abs/2405.15193 (2024) - [i111]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 abs/2405.16640 (2024) - [i110]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 abs/2406.04271 (2024) - [i109]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 abs/2406.04277 (2024) - [i108]Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui:
RobGC: Towards Robust Graph Condensation. CoRR abs/2406.13200 (2024) - [i107]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 abs/2407.01937 (2024) - [i106]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 abs/2407.02398 (2024) - [i105]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 abs/2407.03104 (2024) - [i104]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 abs/2407.06027 (2024) - [i103]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 abs/2407.12117 (2024) - [i102]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 abs/2407.12820 (2024) - [i101]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 abs/2407.20756 (2024) - [i100]Tao Zhang, Yanjun Shen, Wenjing Luo, Yan Zhang, Hao Liang, Tao Zhang, Fan Yang, Mingan Lin, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou:
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs. CoRR abs/2408.01122 (2024) - [i99]Minxuan Zhou, Hao Liang, Tianpeng Li, Zhiyu Wu, Mingan Lin, Linzhuang Sun, Yaqi Zhou, Yan Zhang, Xiaoqin Huang, Yicong Chen, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou:
MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark. CoRR abs/2408.07543 (2024) - [i98]Yanzhao Qin, Tao Zhang, Tao Zhang, Yanjun Shen, Wenjing Luo, Haoze Sun, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin Cui:
SysBench: Can Large Language Models Follow System Messages? CoRR abs/2408.10943 (2024) - [i97]Keer Lu, Zheng Liang, Xiaonan Nie, Da Pan, Shusen Zhang, Keshi Zhao, Weipeng Chen, Zenan Zhou, Guosheng Dong, Wentao Zhang, Bin Cui:
DataSculpt: Crafting Data Landscapes for LLM Post-Training through Multi-objective Partitioning. CoRR abs/2409.00997 (2024) - [i96]Ran Yan, Youhe Jiang, Wangcheng Tao, Xiaonan Nie, Bin Cui, Binhang Yuan:
FlashFlex: Accommodating Large Language Model Training over Heterogeneous Environment. CoRR abs/2409.01143 (2024) - [i95]Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui:
Efficient Multi-Task Large Model Training via Data Heterogeneity-aware Model Management. CoRR abs/2409.03365 (2024) - [i94]Peichao Lai, Zhengfeng Zhang, Bin Cui:
Knowledge-Based Domain-Oriented Data Augmentation for Enhancing Unsupervised Sentence Embedding. CoRR abs/2409.12887 (2024) - [i93]Hao Liang, Keshi Zhao, Yajie Yang, Bin Cui, Guosheng Dong, Zenan Zhou, Wentao Zhang:
Data Proportion Detection for Optimized Data Management for Large Language Models. CoRR abs/2409.17527 (2024) - [i92]Kaini Wang, Ling Yang, Siping Zhou, Guangquan Zhou, Wen-Bo Zhang, Bin Cui, Shuo Li:
Universal Medical Image Representation Learning with Compositional Decoders. CoRR abs/2409.19890 (2024) - [i91]Xinchen Zhang, Ling Yang, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui:
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation. CoRR abs/2410.07171 (2024) - [i90]Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan:
SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights. CoRR abs/2410.09008 (2024) - [i89]Youquan Li, Miao Zheng, Fan Yang, Guosheng Dong, Bin Cui, Weipeng Chen, Zenan Zhou, Wentao Zhang:
FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback. CoRR abs/2410.09412 (2024) - [i88]Mingyang Chen, Haoze Sun, Tianpeng Li, Fan Yang, Hao Liang, Keer Lu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen:
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning. CoRR abs/2410.12952 (2024) - [i87]Haoyang Li, Fangcheng Fu, Hao Ge, Sheng Lin, Xuanyu Wang, Jiawen Niu, Yujie Wang, Hailin Zhang, Xiaonan Nie, Bin Cui:
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization. CoRR abs/2410.13333 (2024) - [i86]Mingan Lin, Fan Yang, Yanjun Shen, Haoze Sun, Tianpeng Li, Tao Zhang, Chenzheng Zhu, Tao Zhang, Miao Zheng, Xu Li, Yijie Zhou, Mingyang Chen, Yanzhao Qin, Youquan Li, Hao Liang, Fei Li, Yadong Li, Mang Wang, Guosheng Dong, Kun Fang, Jianhua Xu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen:
Baichuan Alignment Technical Report. CoRR abs/2410.14940 (2024) - [i85]Jie Jiang, Haining Xie, Yu Shen, Zihan Zhang, Meng Lei, Yifeng Zheng, Yide Fang, Chunyou Li, Danqing Huang, Wentao Zhang, Yang Li, Xiaofeng Yang, Bin Cui, Peng Chen:
SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models. CoRR abs/2411.06102 (2024) - [i84]Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui:
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing. CoRR abs/2411.08446 (2024) - [i83]Keer Lu, Keshi Zhao, Zheng Liang, Da Pan, Shusen Zhang, Xin Wu, Weipeng Chen, Zenan Zhou, Guosheng Dong, Bin Cui, Wentao Zhang:
VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs. CoRR abs/2411.11266 (2024) - [i82]Yujie Wang, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui:
Data-Centric and Heterogeneity-Adaptive Sequence Parallelism for Efficient LLM Training. CoRR abs/2412.01523 (2024) - [i81]Luoxuan Weng, Yinghao Tang, Yingchaojie Feng, Zhuo Chang, Peng Chen, Ruiqin Chen, Haozhe Feng, Chen Hou, Danqing Huang, Yang Li, Huaming Rao, Haonan Wang, Canshi Wei, Xiaofeng Yang, Yuhui Zhang, Yifeng Zheng, Xiuqi Huang, Minfeng Zhu, Yuxin Ma, Bin Cui, Wei Chen:
DataLab: A Unified Platform for LLM-Powered Business Intelligence. CoRR abs/2412.02205 (2024) - [i80]Haoyang Li, Fangcheng Fu, Sheng Lin, Hao Ge, Xuanyu Wang, Jiawen Niu, Jie Jiang, Bin Cui:
Demystifying Workload Imbalances in Large Transformer Model Training over Variable-length Sequences. CoRR abs/2412.07894 (2024) - [i79]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui:
Towards Scalable and Deep Graph Neural Networks via Noise Masking. CoRR abs/2412.14602 (2024) - [i78]Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui:
Training-free Heterogeneous Graph Condensation via Data Selection. CoRR abs/2412.16250 (2024) - 2023
- [j113]Xupeng Miao, Xiaonan Nie, Hailin Zhang, Tong Zhao, Bin Cui:
Hetu: a highly efficient automatic parallel distributed deep learning system. Sci. China Inf. Sci. 66(1) (2023) - [j112]Shiyue Huang, Yanzhao Qin, Xinyi Zhang, Yaofeng Tu, Zhongliang Li, Bin Cui:
Survey on performance optimization for database systems. Sci. China Inf. Sci. 66(2) (2023) - [j111]Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. ACM Comput. Surv. 55(5): 97:1-97:37 (2023) - [j110]Yuanpeng Li, Feiyu Wang, Xiang Yu, Yilong Yang, Kaicheng Yang, Tong Yang, Zhuo Ma, Bin Cui, Steve Uhlig:
LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead. Proc. ACM Manag. Data 1(1): 10:1-10:21 (2023) - [j109]Zirui Liu, Yixin Zhang, Yifan Zhu, Ruwen Zhang, Tong Yang, Kun Xie, Sha Wang, Tao Li, Bin Cui:
TreeSensing: Linearly Compressing Sketches with Flexibility. Proc. ACM Manag. Data 1(1): 56:1-56:28 (2023) - [j108]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): 72:1-72:26 (2023) - [j107]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): 79:1-79:26 (2023) - [j106]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): 81:1-81:26 (2023) - [j105]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): 110:1-110:19 (2023) - [j104]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): 146:1-146:21 (2023) - [j103]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. Proc. ACM Manag. Data 1(2): 186:1-186:26 (2023) - [j102]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): 2158-2171 (2023) - [j101]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): 2354-2363 (2023) - [j100]Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui:
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