Bolin Ding

According to our database, Bolin Ding authored at least 204 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Is Sharing Neighbor Generator in Federated Graph Learning Safe?

Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding

IEEE Trans. Knowl. Data Eng., December, 2024

When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture.

Weirui Kuang, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding

IEEE Trans. Knowl. Data Eng., October, 2024

Lero: applying learning-to-rank in query optimizer.

Xingguang Chen, Rong Zhu, Bolin Ding, Sibo Wang, Jingren Zhou

VLDB J., September, 2024

AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation.

Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding

Proc. VLDB Endow., April, 2024

Performance-Based Pricing of Federated Learning via Auction.

Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou

Proc. VLDB Endow., February, 2024

PilotScope: Steering Databases with Machine Learning Drivers.

Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou

Proc. VLDB Endow., January, 2024

Eraser: Eliminating Performance Regression on Learned Query Optimizer.

Lianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng, Jingren Zhou

Proc. VLDB Endow., January, 2024

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation.

Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., January, 2024

Learning-based Property Estimation with Polynomials.

Jiajun Li, Runlin Lei, Sibo Wang, Zhewei Wei, Bolin Ding

Proc. ACM Manag. Data, 2024

Learned Query Optimizers.

Bolin Ding, Rong Zhu, Jingren Zhou

Found. Trends Databases, 2024

What is Wrong with Perplexity for Long-context Language Modeling?

Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang

CoRR, 2024

Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning.

Pengfei He, Zitao Li, Yue Xing, Yaling Li, Jiliang Tang, Bolin Ding

CoRR, 2024

α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs.

Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

CoRR, 2024

Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation.

Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding

CoRR, 2024

GenSim: A General Social Simulation Platform with Large Language Model based Agents.

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

CoRR, 2024

Agent-Oriented Planning in Multi-Agent Systems.

Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li

CoRR, 2024

Exploring Selective Layer Fine-Tuning in Federated Learning.

Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang

CoRR, 2024

Understanding Byzantine Robustness in Federated Learning with A Black-box Server.

Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li

CoRR, 2024

Very Large-Scale Multi-Agent Simulation in AgentScope.

Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou

CoRR, 2024

On the Design and Analysis of LLM-Based Algorithms.

Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development.

Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

β-DPO: Direct Preference Optimization with Dynamic β.

Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

CoRR, 2024

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective.

Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng

CoRR, 2024

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization.

Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

CoRR, 2024

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation.

Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou

CoRR, 2024

Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining.

Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding

CoRR, 2024

A Bargaining-based Approach for Feature Trading in Vertical Federated Learning.

Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou

CoRR, 2024

AgentScope: A Flexible yet Robust Multi-Agent Platform.

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

CoRR, 2024

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation.

Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding

CoRR, 2024

An Auction-based Marketplace for Model Trading in Federated Learning.

Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou

CoRR, 2024

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models.

Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs.

Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei

Proceedings of the ACM on Web Conference 2024, 2024

SoK: Privacy-Preserving Data Synthesis.

Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Learned Query Optimizer: What is New and What is Next.

Rong Zhu, Lianggui Weng, Bolin Ding, Jingren Zhou

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Data-Juicer: A One-Stop Data Processing System for Large Language Models.

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

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Deep Efficient Private Neighbor Generation for Subgraph Federated Learning.

Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

UniDM: A Unified Framework for Data Manipulation with Large Language Models.

Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

VertiMRF: Differentially Private Vertical Federated Data Synthesis.

Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model.

Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning.

Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases.

Daoyuan Chen, Yaliang Li, Bolin Ding

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes.

Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games.

Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism.

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting.

Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving LoRA in Privacy-preserving Federated Learning.

Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study.

Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning.

Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions.

Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

When to Trust LLMs: Aligning Confidence with Response Quality.

Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning.

Yang Deng, Yaliang Li, Bolin Ding, Wai Lam

IEEE Trans. Knowl. Data Eng., November, 2023

LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations.

Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao

IEEE Trans. Knowl. Data Eng., May, 2023

Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation.

Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding

ACM Trans. Inf. Syst., 2023

Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation.

Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen

IEEE Trans. Knowl. Data Eng., 2023

Lero: A Learning-to-Rank Query Optimizer.

Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou

Proc. VLDB Endow., 2023

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.

Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads.

Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu

Proc. VLDB Endow., 2023

DILI: A Distribution-Driven Learned Index.

Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan

Proc. VLDB Endow., 2023

FS-Real: A Real-World Cross-Device Federated Learning Platform.

Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

BASE: Bridging the Gap between Cost and Latency for Query Optimization.

Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng

Proc. VLDB Endow., 2023

Efficient Private Multiset ID Protocols.

Cong Zhang, Weiran Liu, Bolin Ding, Dongdai Lin

IACR Cryptol. ePrint Arch., 2023

ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads (Extended).

Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu

CoRR, 2023

Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer.

Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin

CoRR, 2023

Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning.

Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao

Proceedings of the ACM Web Conference 2023, 2023

Competitive Information Design for Pandora's Box.

Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang, Haifeng Xu

Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks.

Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FS-REAL: Towards Real-World Cross-Device Federated Learning.

Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization.

Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li

Proceedings of the International Conference on Machine Learning, 2023

Efficient Personalized Federated Learning via Sparse Model-Adaptation.

Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li

Proceedings of the International Conference on Machine Learning, 2023

Learned Index with Dynamic $\epsilon$.

Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tunable Soft Prompts are Messengers in Federated Learning.

Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction.

Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen

ACM Trans. Inf. Syst., 2022

Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling.

Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam

ACM Trans. Inf. Syst., 2022

Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning.

Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li

CoRR, 2022

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization.

Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li

CoRR, 2022

A Benchmark for Federated Hetero-Task Learning.

Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li

CoRR, 2022

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing.

Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2022

Proactively Control Privacy in Recommender Systems.

Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding

CoRR, 2022

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios.

Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Explainable Neural Rule Learning.

Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Recommendation Unlearning.

Chong Chen, Fei Sun, Min Zhang, Bolin Ding

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees.

Jinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng, Jingren Zhou

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator.

Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks.

Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?

Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning.

Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Neural Networks with Node-wise Architecture.

Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning.

Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Sampling-based Estimation of the Number of Distinct Values in Distributed Environment.

Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Practical Introduction to Federated Learning.

Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Universal Sequence Representation Learning for Recommender Systems.

Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Finding Meta Winning Ticket to Train Your MAML.

Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

iFlood: A Stable and Effective Regularizer.

Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding

Proceedings of the Tenth International Conference on Learning Representations, 2022

Contrastive Learning for Sequential Recommendation.

Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract).

Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Learned Query Optimizer: At the Forefront of AI-Driven Databases.

Rong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li, Jingren Zhou

Proceedings of the 25th International Conference on Extending Database Technology, 2022

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.

Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Strengthening Order Preserving Encryption with Differential Privacy.

Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

ID-Agnostic User Behavior Pre-training for Sequential Recommendation.

Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding

Proceedings of the Information Retrieval - 28th China Conference, 2022

2021

Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing.

Yongxin Tong, Yuxiang Zeng, Bolin Ding, Libin Wang, Lei Chen

IEEE Trans. Knowl. Data Eng., 2021

FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data.

Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu

Proc. VLDB Endow., 2021

Learning to be a Statistician: Learned Estimator for Number of Distinct Values.

Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou

Proc. VLDB Endow., 2021

Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration.

Jiaxiang Liu, Karl Knopf, Yiqing Tan, Bolin Ding, Xi He

Proc. VLDB Endow., 2021

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.

Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui

Proc. VLDB Endow., 2021

Federated Matrix Factorization with Privacy Guarantee.

Zitao Li, Bolin Ding, Ce Zhang, Ninghui Li, Jingren Zhou

Proc. VLDB Endow., 2021

CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy.

Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding

Proc. VLDB Endow., 2021

Synthetic Data Generation with Differential Privacy via Bayesian Networks.

Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding

J. Priv. Confidentiality, 2021

Baihe: SysML Framework for AI-driven Databases.

Andreas Pfadler, Rong Zhu, Wei Chen, Botong Huang, Tianjing Zeng, Bolin Ding, Jingren Zhou

CoRR, 2021

Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling.

Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam

CoRR, 2021

Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query Size.

Rong Zhu, Tianjing Zeng, Andreas Pfadler, Wei Chen, Bolin Ding, Jingren Zhou

CoRR, 2021

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation.

Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding

CoRR, 2021

Competitive Information Disclosure with Multiple Receivers.

Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang

CoRR, 2021

A Pluggable Learned Index Method via Sampling and Gap Insertion.

Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou

CoRR, 2021

Efficient Reductions and a Fast Algorithm of Maximum Weighted Independent Set.

Mingyu Xiao, Sen Huang, Yi Zhou, Bolin Ding

Proceedings of the WWW '21: The Web Conference 2021, 2021

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning.

Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Debiasing Learning based Cross-domain Recommendation.

Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AutoML: A Perspective where Industry Meets Academy.

Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation.

Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation.

Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AutoML: From Methodology to Application.

Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy.

Min Xu, Bolin Ding, Tianhao Wang, Jingren Zhou

Proc. VLDB Endow., 2020

Improving Utility and Security of the Shuffler-based Differential Privacy.

Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha

Proc. VLDB Endow., 2020

π-Hub: Large-scale video learning, storage, and retrieval on heterogeneous hardware platforms.

Jie Tang, Shaoshan Liu, Jie Cao, Dawei Sun, Bolin Ding, Jean-Luc Gaudiot, Weisong Shi

Future Gener. Comput. Syst., 2020

Contrastive Pre-training for Sequential Recommendation.

Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui

CoRR, 2020

Intertwining Order Preserving Encryption and Differential Privacy.

Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou

CoRR, 2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

CoRR, 2020

Practical Data Poisoning Attack against Next-Item Recommendation.

Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Sequential Recommendation with Self-Attentive Multi-Adversarial Network.

Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Learning to Mutate with Hypergradient Guided Population.

Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Graph Neural Networks via Bidirectional Propagation.

Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Linear and Range Counting under Metric-based Local Differential Privacy.

Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou

Proceedings of the IEEE International Symposium on Information Theory, 2020

Intent Preference Decoupling for User Representation on Online Recommender System.

Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.

Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Simple and Deep Graph Convolutional Networks.

Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li

Proceedings of the 37th International Conference on Machine Learning, 2020

Automated Relational Meta-learning.

Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li

Proceedings of the 8th International Conference on Learning Representations, 2020

Towards Differentially Private Truth Discovery for Crowd Sensing Systems.

Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

An Adaptive Embedding Framework for Heterogeneous Information Networks.

Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy.

Min Xu, Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang

Proc. VLDB Endow., 2019

Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs.

Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou

CoRR, 2019

Practical and Robust Privacy Amplification with Multi-Party Differential Privacy.

Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha

CoRR, 2019

Answering Multi-Dimensional Analytical Queries under Local Differential Privacy.

Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha

Proceedings of the 2019 International Conference on Management of Data, 2019

An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors.

Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment.

Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Efficient Identification of Approximate Best Configuration of Training in Large Datasets.

Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Stream Mining.

Jiawei Han, Bolin Ding

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches.

Azade Nazi, Bolin Ding, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2018

Columnstore and B+ tree - Are Hybrid Physical Designs Important?

Adam Dziedzic, Jingjing Wang, Sudipto Das, Bolin Ding, Vivek R. Narasayya, Manoj Syamala

Proceedings of the 2018 International Conference on Management of Data, 2018

An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery.

Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Comparing Population Means Under Local Differential Privacy: With Significance and Power.

Bolin Ding, Harsha Nori, Paul Li, Joshua Allen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Flexible Online Task Assignment in Real-Time Spatial Data.

Yongxin Tong, Libin Wang, Zimu Zhou, Bolin Ding, Lei Chen, Jieping Ye, Ke Xu

Proc. VLDB Endow., 2017

Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm.

Shaoshan Liu, Bolin Ding, Jie Tang, Dawei Sun, Zhe Zhang, Grace Tsai, Jean-Luc Gaudiot

CoRR, 2017

Approximate Query Processing: No Silver Bullet.

Surajit Chaudhuri, Bolin Ding, Srikanth Kandula

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Collecting Telemetry Data Privately.

Bolin Ding, Janardhan Kulkarni, Sergey Yekhanin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data.

Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis.

Yongxin Tong, Jieying She, Bolin Ding, Lei Chen, Tianyu Wo, Ke Xu

Proc. VLDB Endow., 2016

Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics.

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

Proceedings of the 2016 International Conference on Management of Data, 2016

Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters.

Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding

Proceedings of the 2016 International Conference on Management of Data, 2016

Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee.

Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang

Proceedings of the 2016 International Conference on Management of Data, 2016

Online mobile Micro-Task Allocation in spatial crowdsourcing.

Yongxin Tong, Jieying She, Bolin Ding, Libin Wang, Lei Chen

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems.

Haiming Jin, Lu Su, Bolin Ding, Klara Nahrstedt, Nikita Borisov

Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

2015

Design of Policy-Aware Differentially Private Algorithms.

Samuel Haney, Ashwin Machanavajjhala, Bolin Ding

Proc. VLDB Endow., 2015

S4: Top-k Spreadsheet-Style Search for Query Discovery.

Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers.

Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti

Proc. VLDB Endow., 2014

Answering Query Workloads with Optimal Error under Blowfish Privacy.

Samuel Haney, Ashwin Machanavajjhala, Bolin Ding

CoRR, 2014

Discovering queries based on example tuples.

Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik

Proceedings of the International Conference on Management of Data, 2014

Blowfish privacy: tuning privacy-utility trade-offs using policies.

Xi He, Ashwin Machanavajjhala, Bolin Ding

Proceedings of the International Conference on Management of Data, 2014

Scalable near real-time failure localization of data center networks.

Herodotos Herodotou, Bolin Ding, Shobana Balakrishnan, Geoff Outhred, Percy Fitter

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Attraction and Avoidance Detection from Movements.

Zhenhui Li, Bolin Ding, Fei Wu, Tobias Kin Hou Lei, Roland Kays, Margaret Crofoot

Proc. VLDB Endow., 2013

EventCube: multi-dimensional search and mining of structured and text data.

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

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Privacy-preserving data publishing and analytics using data cubes

Bolin Ding

PhD thesis, 2012

Mining periodic behaviors of object movements for animal and biological sustainability studies.

Zhenhui Li, Jiawei Han, Bolin Ding, Roland Kays

Data Min. Knowl. Discov., 2012

Optimizing index for taxonomy keyword search.

Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data.

Yongxin Tong, Lei Chen, Bolin Ding

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011

Efficient Keyword-Based Search for Top-K Cells in Text Cube.

Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai, Ashok N. Srivastava, Nikunj C. Oza

IEEE Trans. Knowl. Data Eng., 2011

MoveMine: Mining moving object data for discovery of animal movement patterns.

Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, Roland Kays

ACM Trans. Intell. Syst. Technol., 2011

A Statistical Approach Towards Robust Progress Estimation.

Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya

Proc. VLDB Endow., 2011

Distance-Constraint Reachability Computation in Uncertain Graphs.

Ruoming Jin, Lin Liu, Bolin Ding, Haixun Wang

Proc. VLDB Endow., 2011

Fast Set Intersection in Memory.

Bolin Ding, Arnd Christian König

Proc. VLDB Endow., 2011

Mining Significant Time Intervals for Relationship Detection.

Zhenhui Li, Cindy Xide Lin, Bolin Ding, Jiawei Han

Proceedings of the Advances in Spatial and Temporal Databases, 2011

Differentially private data cubes: optimizing noise sources and consistency.

Bolin Ding, Marianne Winslett, Jiawei Han, Zhenhui Li

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks.

Lu Su, Jing Gao, Yong Yang, Tarek F. Abdelzaher, Bolin Ding, Jiawei Han

Proceedings of the 9th International Conference on Embedded Networked Sensor Systems, 2011

Bidirectional mining of non-redundant recurrent rules from a sequence database.

David Lo, Bolin Ding, Lucia, Jiawei Han

Proceedings of the 27th International Conference on Data Engineering, 2011

TEXplorer: keyword-based object search and exploration in multidimensional text databases.

Bo Zhao, Cindy Xide Lin, Bolin Ding, Jiawei Han

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Swarm: Mining Relaxed Temporal Moving Object Clusters.

Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays

Proc. VLDB Endow., 2010

Mining periodic behaviors for moving objects.

Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, Peter Nye

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

TopCells: Keyword-based search of top-k aggregated documents in text cube.

Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai

Proceedings of the 26th International Conference on Data Engineering, 2010

Visual cube and on-line analytical processing of images.

Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bolin Ding, Cindy Xide Lin

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Keyword Search in Text Cube: Finding Top-k Aggregated Cell Documents.

Bolin Ding, Yintao Yu, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai

Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2009

Stream Mining.

Jiawei Han, Bolin Ding

Proceedings of the Encyclopedia of Database Systems, 2009

Query translation from XPath to SQL in the presence of recursive DTDs.

Wenfei Fan, Jeffrey Xu Yu, Jianzhong Li, Bolin Ding, Lu Qin

VLDB J., 2009

Making filters smart in distributed data stream environments.

Cheqing Jin, Bolin Ding, Jeffrey Xu Yu

Inf. Sci., 2009

oCast: Optimal Multicast Routing Protocol for Wireless Sensor Networks.

Lu Su, Bolin Ding, Yong Yang, Tarek F. Abdelzaher, Guohong Cao, Jennifer C. Hou

Proceedings of the 17th annual IEEE International Conference on Network Protocols, 2009

Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database.

Bolin Ding, David Lo, Jiawei Han, Siau-Cheng Khoo

Proceedings of the 25th International Conference on Data Engineering, 2009

2008

Classifying Data Streams with Skewed Class Distributions and Concept Drifts.

Jing Gao, Bolin Ding, Wei Fan, Jiawei Han, Philip S. Yu

IEEE Internet Comput., 2008

Monitoring Aggregate k-NN Objects in Road Networks.

Lu Qin, Jeffrey Xu Yu, Bolin Ding, Yoshiharu Ishikawa

Proceedings of the Scientific and Statistical Database Management, 2008

Stream Sequential Pattern Mining with Precise Error Bounds.

Luiz F. Mendes, Bolin Ding, Jiawei Han

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Text Cube: Computing IR Measures for Multidimensional Text Database Analysis.

Cindy Xide Lin, Bolin Ding, Jiawei Han, Feida Zhu, Bo Zhao

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Fast Graph Pattern Matching.

Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S. Yu, Haixun Wang

Proceedings of the 24th International Conference on Data Engineering, 2008

Finding time-dependent shortest paths over large graphs.

Bolin Ding, Jeffrey Xu Yu, Lu Qin

Proceedings of the EDBT 2008, 2008

2007

Finding Top-k Min-Cost Connected Trees in Databases.

Bolin Ding, Jeffrey Xu Yu, Shan Wang, Lu Qin, Xiao Zhang, Xuemin Lin

Proceedings of the 23rd International Conference on Data Engineering, 2007

<i>TwigList</i> : Make Twig Pattern Matching Fast.

Lu Qin, Jeffrey Xu Yu, Bolin Ding

Proceedings of the Advances in Databases: Concepts, 2007

Cost-Based Query Optimization for Multi Reachability Joins.

Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding

Proceedings of the Advances in Databases: Concepts, 2007

2006

NUITS: A Novel User Interface for Efficient Keyword Search over Databases.

Shan Wang, Zhaohui Peng, Jun Zhang, Lu Qin, Sheng Wang, Jeffrey Xu Yu, Bolin Ding

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006