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2020 – today
- 2024
- [j50]Bolin Ding, Rong Zhu, Jingren Zhou:
Learned Query Optimizers. Found. Trends Databases 13(4): 250-310 (2024) - [j49]Jiajun Li
, Runlin Lei
Learning-based Property Estimation with Polynomials. Proc. ACM Manag. Data 2(3): 148 (2024) - [j48]Lianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng, Jingren Zhou:
Eraser: Eliminating Performance Regression on Learned Query Optimizer. Proc. VLDB Endow. 17(5): 926-938 (2024) - [j47]Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou:
PilotScope: Steering Databases with Machine Learning Drivers. Proc. VLDB Endow. 17(5): 980-993 (2024) - [j46]Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou:
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. Proc. VLDB Endow. 17(5): 1132-1145 (2024) - [j45]Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou:
Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. 17(6): 1269-1282 (2024) - [j44]Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding:
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. Proc. VLDB Endow. 17(8): 1843-1855 (2024) - [j43]Weirui Kuang
When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. IEEE Trans. Knowl. Data Eng. 36(10): 5440-5452 (2024) - [j42]Liuyi Yao
Is Sharing Neighbor Generator in Federated Graph Learning Safe? IEEE Trans. Knowl. Data Eng. 36(12): 8568-8579 (2024) - [j41]Xingguang Chen, Rong Zhu
Lero: applying learning-to-rank in query optimizer. VLDB J. 33(5): 1307-1331 (2024) - [c110]Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding:
When to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) 2024: 5984-5996 - [c109]Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou:
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CIDR 2024 - [c108]Jinjia Feng
Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. CIKM 2024: 1038-1048 - [c107]Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING 2024: 5174-5190 - [c106]Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding:
Improving LoRA in Privacy-preserving Federated Learning. ICLR 2024 - [c105]Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin:
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. ICLR 2024 - [c104]Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. ICML 2024 - [c103]Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang:
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. ICML 2024 - [c102]Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng:
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. ICML 2024 - [c101]Feijie Wu
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD 2024: 3345-3355 - [c100]Fangyuan Zhao
VertiMRF: Differentially Private Vertical Federated Data Synthesis. KDD 2024: 4431-4442 - [c99]Weirui Kuang
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD 2024: 5260-5271 - [c98]Daoyuan Chen
Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. KDD 2024: 6414-6415 - [c97]Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou:
UniDM: A Unified Framework for Data Manipulation with Large Language Models. MLSys 2024 - [c96]Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang:
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. SDM 2024: 806-814 - [c95]Daoyuan Chen
Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion 2024: 120-134 - [c94]Rong Zhu
Learned Query Optimizer: What is New and What is Next. SIGMOD Conference Companion 2024: 561-569 - [c93]Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. SP 2024: 4696-4713 - [c92]Zhen Wang
Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. WWW 2024: 780-791 - [i91]Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang:
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. CoRR abs/2401.04336 (2024) - [i90]Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou:
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. CoRR abs/2402.00518 (2024) - [i89]Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou:
An Auction-based Marketplace for Model Trading in Federated Learning. CoRR abs/2402.01802 (2024) - [i88]Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding:
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR abs/2402.06656 (2024) - [i87]Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou:
AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR abs/2402.14034 (2024) - [i86]Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou:
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR abs/2402.15247 (2024) - [i85]Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding:
Improving LoRA in Privacy-preserving Federated Learning. CoRR abs/2403.12313 (2024) - [i84]Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding:
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. CoRR abs/2404.01625 (2024) - [i83]Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding:
When to Trust LLMs: Aligning Confidence with Response Quality. CoRR abs/2404.17287 (2024) - [i82]Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou:
UniDM: A Unified Framework for Data Manipulation with Large Language Models. CoRR abs/2405.06510 (2024) - [i81]Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding:
Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining. CoRR abs/2405.14908 (2024) - [i80]Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou:
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. CoRR abs/2406.01027 (2024) - [i79]Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao:
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR abs/2406.17706 (2024) - [i78]Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
VertiMRF: Differentially Private Vertical Federated Data Synthesis. CoRR abs/2406.19008 (2024) - [i77]Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He:
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR abs/2407.07880 (2024) - [i76]Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng:
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. CoRR abs/2407.08583 (2024) - [i75]Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He:
β-DPO: Direct Preference Optimization with Dynamic β. CoRR abs/2407.08639 (2024) - [i74]Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. CoRR abs/2407.11784 (2024) - [i73]Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou:
On the Design and Analysis of LLM-Based Algorithms. CoRR abs/2407.14788 (2024) - [i72]Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou:
Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR abs/2407.17789 (2024) - [i71]Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
Understanding Byzantine Robustness in Federated Learning with A Black-box Server. CoRR abs/2408.06042 (2024) - [i70]Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang:
Exploring Selective Layer Fine-Tuning in Federated Learning. CoRR abs/2408.15600 (2024) - [i69]Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li:
Agent-Oriented Planning in Multi-Agent Systems. CoRR abs/2410.02189 (2024) - [i68]Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen:
GenSim: A General Social Simulation Platform with Large Language Model based Agents. CoRR abs/2410.04360 (2024) - [i67]Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding:
Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation. CoRR abs/2410.09824 (2024) - [i66]Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He:
α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. CoRR abs/2410.10148 (2024) - [i65]Pengfei He, Zitao Li, Yue Xing, Yaling Li, Jiliang Tang, Bolin Ding:
Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning. CoRR abs/2410.19000 (2024) - [i64]Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang:
What is Wrong with Perplexity for Long-context Language Modeling? CoRR abs/2410.23771 (2024) - 2023
- [j40]Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. 16(5): 1059-1072 (2023) - [j39]Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou:
Lero: A Learning-to-Rank Query Optimizer. Proc. VLDB Endow. 16(6): 1466-1479 (2023) - [j38]Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng:
BASE: Bridging the Gap between Cost and Latency for Query Optimization. Proc. VLDB Endow. 16(8): 1958-1966 (2023) - [j37]Pengfei Li
DILI: A Distribution-Driven Learned Index. Proc. VLDB Endow. 16(9): 2212-2224 (2023) - [j36]Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. 16(12): 4046-4049 (2023) - [j35]Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu:
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads. Proc. VLDB Endow. 17(2): 197-210 (2023) - [j34]Yexuan Shi
Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation. IEEE Trans. Knowl. Data Eng. 35(1): 418-430 (2023) - [j33]Hengtong Zhang
LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. IEEE Trans. Knowl. Data Eng. 35(5): 5047-5059 (2023) - [j32]Yang Deng
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(11): 11541-11555 (2023) - [j31]Ziqian Chen
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. ACM Trans. Inf. Syst. 41(3): 60:1-60:26 (2023) - [c91]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) 2023: 14665-14675 - [c90]Cong Zhang
Efficient Private Multiset ID Protocols. ICICS 2023: 351-369 - [c89]Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou:
Learned Index with Dynamic $\epsilon$. ICLR 2023 - [c88]Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li:
Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML 2023: 5234-5256 - [c87]Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li:
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML 2023: 35908-35948 - [c86]Daoyuan Chen
FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD 2023: 3829-3841 - [c85]Zeyu Qin
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD 2023: 4743-4755 - [c84]Bolin Ding, Yiding Feng
Competitive Information Design for Pandora's Box. SODA 2023: 353-381 - [c83]Liuyi Yao
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW 2023: 3680-3688 - [i63]Zeyu Qin, Liuyi Yao, Daoyuan Chen
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR abs/2302.01677 (2023) - [i62]Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou:
Lero: A Learning-to-Rank Query Optimizer. CoRR abs/2302.06873 (2023) - [i61]Daoyuan Chen
FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR abs/2303.13363 (2023) - [i60]Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan:
DILI: A Distribution-Driven Learned Index. CoRR abs/2304.08817 (2023) - [i59]Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li:
Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR abs/2305.02776 (2023) - [i58]Xue Wang, Tian Zhou, Qingsong Wen
Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. CoRR abs/2305.12095 (2023) - [i57]Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. CoRR abs/2307.02106 (2023) - [i56]Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR abs/2307.08072 (2023) - [i55]Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou:
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. CoRR abs/2308.15363 (2023) - [i54]Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR abs/2309.00363 (2023) - [i53]Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR abs/2309.02033 (2023) - [i52]Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou:
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CoRR abs/2309.07856 (2023) - [i51]Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu:
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads (Extended). CoRR abs/2310.05349 (2023) - [i50]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Tunable Soft Prompts are Messengers in Federated Learning. CoRR abs/2311.06805 (2023) - [i49]Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. CoRR abs/2312.04916 (2023) - [i48]Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng:
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. CoRR abs/2312.06353 (2023) - [i47]Cong Zhang, Weiran Liu, Bolin Ding, Dongdai Lin:
Efficient Private Multiset ID Protocols. IACR Cryptol. ePrint Arch. 2023: 986 (2023) - 2022
- [j30]Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen:
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. 40(1): 11:1-11:29 (2022) - [j29]Yang Deng
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. ACM Trans. Inf. Syst. 40(4): 87:1-87:28 (2022) - [c82]Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR 2022: 16-27 - [c81]Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou:
Strengthening Order Preserving Encryption with Differential Privacy. CCS 2022: 2519-2533 - [c80]Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu:
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. CIKM 2022: 509-519 - [c79]Rong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li, Jingren Zhou:
Learned Query Optimizer: At the Forefront of AI-Driven Databases. EDBT 2022: 1-4 - [c78]Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui:
Contrastive Learning for Sequential Recommendation. ICDE 2022: 1259-1273 - [c77]Yexuan Shi
Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract). ICDE 2022: 1559-1560 - [c76]Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding:
iFlood: A Stable and Effective Regularizer. ICLR 2022 - [c75]Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding:
Finding Meta Winning Ticket to Train Your MAML. KDD 2022: 411-420 - [c74]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. KDD 2022: 585-593 - [c73]Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou:
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. KDD 2022: 893-903 - [c72]Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding:
Graph Neural Networks with Node-wise Architecture. KDD 2022: 1949-1958 - [c71]Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD 2022: 4110-4120 - [c70]Yaliang Li, Bolin Ding, Jingren Zhou:
A Practical Introduction to Federated Learning. KDD 2022: 4802-4803 - [c69]Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding:
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. NeurIPS 2022 - [c68]Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang:
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NeurIPS 2022 - [c67]Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei:
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. NeurIPS 2022 - [c66]Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen:
Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. SIGIR 2022: 1401-1411 - [c65]Jinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng, Jingren Zhou:
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees. SIGMOD Conference 2022: 531-544 - [c64]Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han:
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW 2022: 1301-1310 - [c63]Chong Chen, Fei Sun, Min Zhang, Bolin Ding:
Recommendation Unlearning. WWW 2022: 2768-2777 - [c62]Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang:
Explainable Neural Rule Learning. WWW 2022: 3031-3041 - [i46]Chong Chen, Fei Sun, Min Zhang, Bolin Ding:
Recommendation Unlearning. CoRR abs/2201.06820 (2022) - [i45]Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. CoRR abs/2202.02800 (2022) - [i44]Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding:
Proactively Control Privacy in Recommender Systems. CoRR abs/2204.00279 (2022) - [i43]Yuexiang Xie, Zhen Wang, Daoyuan Chen
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR abs/2204.05011 (2022) - [i42]Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. CoRR abs/2204.05562 (2022) - [i41]Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei:
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. CoRR abs/2205.13892 (2022) - [i40]Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CoRR abs/2206.02323 (2022) - [i39]Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen
A Benchmark for Federated Hetero-Task Learning. CoRR abs/2206.03436 (2022) - [i38]Daoyuan Chen
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. CoRR abs/2206.03655 (2022) - [i37]Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li:
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization. CoRR abs/2206.03966 (2022) - [i36]Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou:
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. CoRR abs/2206.05476 (2022) - [i35]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. CoRR abs/2206.05941 (2022) - [i34]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. CoRR abs/2212.05789 (2022) - 2021
- [j28]Ergute Bao
Synthetic Data Generation with Differential Privacy via Bayesian Networks. J. Priv. Confidentiality 11(3) (2021) - [j27]Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu:
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. Proc. VLDB Endow. 14(5): 721-729 (2021) - [j26]Yang Li, Yu Shen
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. 14(11): 2167-2176 (2021) - [j25]Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding:
CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy. Proc. VLDB Endow. 14(11): 2258-2270 (2021) - [j24]Jiaxiang Liu, Karl Knopf, Yiqing Tan, Bolin Ding, Xi He:
Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration. Proc. VLDB Endow. 14(12): 2859-2862 (2021) - [j23]Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. Proc. VLDB Endow. 15(2): 272-284 (2021) - [j22]Zitao Li, Bolin Ding, Ce Zhang, Ninghui Li, Jingren Zhou:
Federated Matrix Factorization with Privacy Guarantee. Proc. VLDB Endow. 15(4): 900-913 (2021) - [j21]Yongxin Tong
Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 33(5): 2295-2309 (2021) - [c61]Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui
CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. CIKM 2021: 4253-4263 - [c60]Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang:
AutoML: From Methodology to Application. CIKM 2021: 4853-4856 - [c59]Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding:
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. EMNLP (Findings) 2021: 100-110 - [c58]Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen:
Debiasing Learning based Cross-domain Recommendation. KDD 2021: 3190-3199 - [c57]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD 2021: 3795-3805 - [c56]Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang:
AutoML: A Perspective where Industry Meets Academy. KDD 2021: 4048-4049 - [c55]Yang Deng
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. SIGIR 2021: 1431-1441 - [c54]Mingyu Xiao, Sen Huang, Yi Zhou
Efficient Reductions and a Fast Algorithm of Maximum Weighted Independent Set. WWW 2021: 3930-3940 - [i33]Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou:
A Pluggable Learned Index Method via Sampling and Gap Insertion. CoRR abs/2101.00808 (2021) - [i32]Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu:
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. CoRR abs/2101.03298 (2021) - [i31]Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang:
Competitive Information Disclosure with Multiple Receivers. CoRR abs/2103.03769 (2021) - [i30]Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam:
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. CoRR abs/2105.09710 (2021) - [i29]Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation. CoRR abs/2105.13881 (2021) - [i28]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR abs/2107.08861 (2021) - [i27]Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding:
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. CoRR abs/2108.13134 (2021) - [i26]Rong Zhu, Tianjing Zeng, Andreas Pfadler, Wei Chen, Bolin Ding, Jingren Zhou:
Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query Size. CoRR abs/2112.03458 (2021) - [i25]Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam:
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling. CoRR abs/2112.13556 (2021) - [i24]Andreas Pfadler, Rong Zhu, Wei Chen, Botong Huang, Tianjing Zeng, Bolin Ding, Jingren Zhou:
Baihe: SysML Framework for AI-driven Databases. CoRR abs/2112.14460 (2021) - 2020
- [j20]Jie Tang, Shaoshan Liu, Jie Cao, Dawei Sun, Bolin Ding, Jean-Luc Gaudiot, Weisong Shi
π-Hub: Large-scale video learning, storage, and retrieval on heterogeneous hardware platforms. Future Gener. Comput. Syst. 102: 514-523 (2020) - [j19]Min Xu, Bolin Ding, Tianhao Wang
Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy. Proc. VLDB Endow. 13(11): 2760-2772 (2020) - [j18]Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha:
Improving Utility and Security of the Shuffler-based Differential Privacy. Proc. VLDB Endow. 13(13): 3545-3558 (2020) - [c53]Daoyuan Chen
An Adaptive Embedding Framework for Heterogeneous Information Networks. CIKM 2020: 165-174 - [c52]Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding:
Towards Differentially Private Truth Discovery for Crowd Sensing Systems. ICDCS 2020: 1156-1166 - [c51]Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li:
Automated Relational Meta-learning. ICLR 2020 - [c50]Ming Chen, Zhewei Wei, Zengfeng Huang
Simple and Deep Graph Convolutional Networks. ICML 2020: 1725-1735 - [c49]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI 2020: 2463-2469 - [c48]Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen:
Intent Preference Decoupling for User Representation on Online Recommender System. IJCAI 2020: 2575-2582 - [c47]Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou:
Linear and Range Counting under Metric-based Local Differential Privacy. ISIT 2020: 908-913 - [c46]Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Scalable Graph Neural Networks via Bidirectional Propagation. NeurIPS 2020 - [c45]Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu:
Learning to Mutate with Hypergradient Guided Population. NeurIPS 2020 - [c44]Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. SIGIR 2020: 89-98 - [c43]Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao:
Practical Data Poisoning Attack against Next-Item Recommendation. WWW 2020: 2458-2464 - [i23]Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li:
Automated Relational Meta-learning. CoRR abs/2001.00745 (2020) - [i22]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR abs/2001.04246 (2020) - [i21]Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao:
Practical Data Poisoning Attack against Next-Item Recommendation. CoRR abs/2004.03728 (2020) - [i20]Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. CoRR abs/2005.10602 (2020) - [i19]Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li:
Simple and Deep Graph Convolutional Networks. CoRR abs/2007.02133 (2020) - [i18]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR abs/2007.14573 (2020) - [i17]Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou:
Intertwining Order Preserving Encryption and Differential Privacy. CoRR abs/2009.05679 (2020) - [i16]Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui:
Contrastive Pre-training for Sequential Recommendation. CoRR abs/2010.14395 (2020) - [i15]Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Scalable Graph Neural Networks via Bidirectional Propagation. CoRR abs/2010.15421 (2020)
2010 – 2019
- 2019
- [j17]Min Xu, Tianhao Wang
DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy. Proc. VLDB Endow. 12(12): 1862-1865 (2019) - [c42]Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri:
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. AAAI 2019: 3862-3869 - [c41]Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang:
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. SysML 2019 - [c40]Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors. NeurIPS 2019: 13635-13646 - [c39]Tianhao Wang
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. SIGMOD Conference 2019: 159-176 - [i14]Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. CoRR abs/1903.00278 (2019) - [i13]Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha:
Practical and Robust Privacy Amplification with Multi-Party Differential Privacy. CoRR abs/1908.11515 (2019) - [i12]Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou:
Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs. CoRR abs/1909.11778 (2019) - 2018
- [j16]Azade Nazi, Bolin Ding, Vivek R. Narasayya, Surajit Chaudhuri:
Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches. Proc. VLDB Endow. 11(10): 1097-1109 (2018) - [c38]Bolin Ding, Harsha Nori, Paul Li, Joshua Allen:
Comparing Population Means Under Local Differential Privacy: With Significance and Power. AAAI 2018: 26-33 - [c37]Yaliang Li, Chenglin Miao
An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery. KDD 2018: 1705-1714 - [c36]Adam Dziedzic
Columnstore and B+ tree - Are Hybrid Physical Designs Important? SIGMOD Conference 2018: 177-190 - [r2]Jiawei Han, Bolin Ding:
Stream Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [i11]Bolin Ding, Harsha Nori, Paul Li, Joshua Allen:
Comparing Population Means under Local Differential Privacy: with Significance and Power. CoRR abs/1803.09027 (2018) - [i10]Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin:
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors. CoRR abs/1807.00736 (2018) - [i9]Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding:
Towards Differentially Private Truth Discovery for Crowd Sensing Systems. CoRR abs/1810.04760 (2018) - [i8]Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri:
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. CoRR abs/1811.03250 (2018) - 2017
- [j15]Yongxin Tong
Flexible Online Task Assignment in Real-Time Spatial Data. Proc. VLDB Endow. 10(11): 1334-1345 (2017) - [c35]Dominik Moritz, Danyel Fisher
Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data. CHI 2017: 2904-2915 - [c34]Bolin Ding, Janardhan Kulkarni, Sergey Yekhanin:
Collecting Telemetry Data Privately. NIPS 2017: 3571-3580 - [c33]Surajit Chaudhuri, Bolin Ding, Srikanth Kandula:
Approximate Query Processing: No Silver Bullet. SIGMOD Conference 2017: 511-519 - [i7]Shaoshan Liu, Bolin Ding, Jie Tang, Dawei Sun, Zhe Zhang, Grace Tsai, Jean-Luc Gaudiot:
Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm. CoRR abs/1704.04712 (2017) - [i6]Bolin Ding, Janardhan Kulkarni, Sergey Yekhanin:
Collecting Telemetry Data Privately. CoRR abs/1712.01524 (2017) - 2016
- [j14]Yongxin Tong
Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis. Proc. VLDB Endow. 9(12): 1053-1064 (2016) - [c32]Haiming Jin, Lu Su, Bolin Ding, Klara Nahrstedt, Nikita Borisov:
Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems. ICDCS 2016: 344-353 - [c31]Yongxin Tong
Online mobile Micro-Task Allocation in spatial crowdsourcing. ICDE 2016: 49-60 - [c30]Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding:
Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters. SIGMOD Conference 2016: 631-646 - [c29]Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang:
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee. SIGMOD Conference 2016: 679-694 - [c28]Kukjin Lee, Arnd Christian König, Vivek R. Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma V. Nehme, Jiexing Li, Jeffrey F. Naughton:
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics. SIGMOD Conference 2016: 1753-1764 - 2015
- [j13]Samuel Haney, Ashwin Machanavajjhala, Bolin Ding:
Design of Policy-Aware Differentially Private Algorithms. Proc. VLDB Endow. 9(4): 264-275 (2015) - [c27]Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri:
S4: Top-k Spreadsheet-Style Search for Query Discovery. SIGMOD Conference 2015: 2001-2016 - 2014
- [j12]Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti:
Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers. Proc. VLDB Endow. 7(14): 1809-1820 (2014) - [c26]Herodotos Herodotou
Scalable near real-time failure localization of data center networks. KDD 2014: 1689-1698 - [c25]Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik:
Discovering queries based on example tuples. SIGMOD Conference 2014: 493-504 - [c24]Xi He, Ashwin Machanavajjhala, Bolin Ding:
Blowfish privacy: tuning privacy-utility trade-offs using policies. SIGMOD Conference 2014: 1447-1458 - [i5]Samuel Haney, Ashwin Machanavajjhala, Bolin Ding:
Answering Query Workloads with Optimal Error under Blowfish Privacy. CoRR abs/1404.3722 (2014) - [i4]Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti:
Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers. CoRR abs/1409.1292 (2014) - 2013
- [j11]Zhenhui Li, Bolin Ding, Fei Wu, Tobias Kin Hou Lei, Roland Kays
Attraction and Avoidance Detection from Movements. Proc. VLDB Endow. 7(3): 157-168 (2013) - [c23]Fangbo Tao, Kin Hou Lei, Jiawei Han, Chengxiang Zhai, Xiao Cheng, Marina Danilevsky, Nihit Desai, Bolin Ding, Jing Ge, Heng Ji, Rucha Kanade, Anne Kao, Qi Li, Yanen Li, Cindy Xide Lin, Jialu Liu, Nikunj C. Oza, Ashok N. Srivastava, Rodney Tjoelker, Chi Wang, Duo Zhang, Bo Zhao:
EventCube: multi-dimensional search and mining of structured and text data. KDD 2013: 1494-1497 - [i3]Xi He, Ashwin Machanavajjhala, Bolin Ding:
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies. CoRR abs/1312.3913 (2013) - 2012
- [b1]Bolin Ding:
Privacy-preserving data publishing and analytics using data cubes. University of Illinois Urbana-Champaign, USA, 2012 - [j10]Zhenhui Li, Jiawei Han, Bolin Ding, Roland Kays
Mining periodic behaviors of object movements for animal and biological sustainability studies. Data Min. Knowl. Discov. 24(2): 355-386 (2012) - [c22]Yongxin Tong
Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data. ICDE 2012: 270-281 - [c21]Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang:
Optimizing index for taxonomy keyword search. SIGMOD Conference 2012: 493-504 - [i2]Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya:
A Statistical Approach Towards Robust Progress Estimation. CoRR abs/1201.0234 (2012) - 2011
- [j9]Bolin Ding, Arnd Christian König:
Fast Set Intersection in Memory. Proc. VLDB Endow. 4(4): 255-266 (2011) - [j8]Ruoming Jin, Lin Liu, Bolin Ding, Haixun Wang:
Distance-Constraint Reachability Computation in Uncertain Graphs. Proc. VLDB Endow. 4(9): 551-562 (2011) - [j7]Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya:
A Statistical Approach Towards Robust Progress Estimation. Proc. VLDB Endow. 5(4): 382-393 (2011) - [j6]Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, Roland Kays
MoveMine: Mining moving object data for discovery of animal movement patterns. ACM Trans. Intell. Syst. Technol. 2(4): 37:1-37:32 (2011) - [j5]Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai, Ashok N. Srivastava, Nikunj C. Oza:
Efficient Keyword-Based Search for Top-K Cells in Text Cube. IEEE Trans. Knowl. Data Eng. 23(12): 1795-1810 (2011) - [c20]Bo Zhao, Cindy Xide Lin, Bolin Ding, Jiawei Han:
TEXplorer: keyword-based object search and exploration in multidimensional text databases. CIKM 2011: 1709-1718 - [c19]David Lo
Bidirectional mining of non-redundant recurrent rules from a sequence database. ICDE 2011: 1043-1054 - [c18]Lu Su, Jing Gao, Yong Yang, Tarek F. Abdelzaher, Bolin Ding, Jiawei Han:
Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks. SenSys 2011: 40-53 - [c17]Bolin Ding, Marianne Winslett, Jiawei Han, Zhenhui Li:
Differentially private data cubes: optimizing noise sources and consistency. SIGMOD Conference 2011: 217-228 - [c16]Zhenhui Li, Cindy Xide Lin, Bolin Ding, Jiawei Han:
Mining Significant Time Intervals for Relationship Detection. SSTD 2011: 386-403 - [i1]Bolin Ding, Arnd Christian König:
Fast Set Intersection in Memory. CoRR abs/1103.2409 (2011) - 2010
- [j4]Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays
Swarm: Mining Relaxed Temporal Moving Object Clusters. Proc. VLDB Endow. 3(1): 723-734 (2010) - [c15]Bolin Ding, Yintao Yu, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai:
Keyword Search in Text Cube: Finding Top-k Aggregated Cell Documents. CIDU 2010: 145-159 - [c14]Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo
Visual cube and on-line analytical processing of images. CIKM 2010: 849-858 - [c13]Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai:
TopCells: Keyword-based search of top-k aggregated documents in text cube. ICDE 2010: 381-384 - [c12]Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays
Mining periodic behaviors for moving objects. KDD 2010: 1099-1108
2000 – 2009
- 2009
- [j3]Cheqing Jin, Bolin Ding, Jeffrey Xu Yu:
Making filters smart in distributed data stream environments. Inf. Sci. 179(9): 1348-1361 (2009) - [j2]Wenfei Fan
Query translation from XPath to SQL in the presence of recursive DTDs. VLDB J. 18(4): 857-883 (2009) - [c11]Bolin Ding, David Lo
Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database. ICDE 2009: 1024-1035 - [c10]Lu Su, Bolin Ding, Yong Yang, Tarek F. Abdelzaher, Guohong Cao, Jennifer C. Hou:
oCast: Optimal Multicast Routing Protocol for Wireless Sensor Networks. ICNP 2009: 151-160 - [r1]Jiawei Han, Bolin Ding:
Stream Mining. Encyclopedia of Database Systems 2009: 2831-2834 - 2008
- [j1]Jing Gao, Bolin Ding, Wei Fan, Jiawei Han, Philip S. Yu:
Classifying Data Streams with Skewed Class Distributions and Concept Drifts. IEEE Internet Comput. 12(6): 37-49 (2008) - [c9]Bolin Ding, Jeffrey Xu Yu, Lu Qin
Finding time-dependent shortest paths over large graphs. EDBT 2008: 205-216 - [c8]Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S. Yu, Haixun Wang:
Fast Graph Pattern Matching. ICDE 2008: 913-922 - [c7]Cindy Xide Lin, Bolin Ding, Jiawei Han, Feida Zhu
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis. ICDM 2008: 905-910 - [c6]Luiz F. Mendes, Bolin Ding, Jiawei Han:
Stream Sequential Pattern Mining with Precise Error Bounds. ICDM 2008: 941-946 - [c5]Lu Qin
Monitoring Aggregate k-NN Objects in Road Networks. SSDBM 2008: 168-186 - 2007
- [c4]Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding:
Cost-Based Query Optimization for Multi Reachability Joins. DASFAA 2007: 18-30 - [c3]Lu Qin
TwigList : Make Twig Pattern Matching Fast. DASFAA 2007: 850-862 - [c2]Bolin Ding, Jeffrey Xu Yu, Shan Wang, Lu Qin
Finding Top-k Min-Cost Connected Trees in Databases. ICDE 2007: 836-845 - 2006
- [c1]Shan Wang, Zhaohui Peng, Jun Zhang, Lu Qin, Sheng Wang, Jeffrey Xu Yu, Bolin Ding:
NUITS: A Novel User Interface for Efficient Keyword Search over Databases. VLDB 2006: 1143-1146
Coauthor Index
[j46] [j45] [j43] [j42] [c108] [c107] [c106] [c104] [c102] [c101] [c100] [c99] [c98] [c95] [c92] [i90] [i89] [i87] [i86] [i85] [i81] [i79] [i78] [i76] [i74] [i73] [i72] [i71] [i70] [i69] [i68] [i67] [j40] [j38] [j36] [j33] [j32] [c91] [c89] [c88] [c87] [c86] [c85] [c83] [i63] [i61] [i59] [i56] [i55] [i54] [i53] [i50] [i49] [i48] [j30] [j29] [c82] [c80] [c76] [c75] [c74] [c72] [c71] [c70] [c69] [c67] [c66] [c64] [c62] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i35] [i34] [j26] [c60] [c59] [c58] [c57] [c56] [c55] [i33] [i30] [i28] [i27] [i25] [c53] [c52] [c51] [c50] [c49] [c46] [c45] [c44] [c43] [i23] [i22] [i21] [i20] [i19] [i18] [i15] [c37] [i9]
[j50] [j48] [j47] [j46] [j45] [j41] [c109] [c104] [c99] [c97] [c95] [c94] [i90] [i87] [i82] [i80] [i74] [i73] [i72] [i68] [j40] [j39] [j38] [j36] [j35] [c89] [c86] [c83] [i62] [i61] [i55] [i54] [i53] [i52] [i51] [i49] [c81] [c79] [c76] [c73] [c71] [c70] [c65] [i45] [i43] [i42] [i36] [j27] [j26] [j23] [j22] [c57] [i33] [i32] [i28] [i26] [i24] [j19] [j18] [c49] [c47] [c45] [i22] [i18] [i17] [j17] [c39] [i13] [i12]
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For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
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load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
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to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from .
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last updated on 2024-12-23 19:30 CET by the dblp team
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