Bolin Ding

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 190

Top Venues

Publications

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 (2024)
Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl J. Yang
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. CoRR (2024)
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 (2024)
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) (2024)
Rong Zhu, Lianggui Weng, Bolin Ding, Jingren Zhou
Learned Query Optimizer: What is New and What is Next. SIGMOD Conference Companion (2024)
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)
Jiajun Li, Runlin Lei, Sibo Wang, Zhewei Wei, Bolin Ding
Learning-based Property Estimation with Polynomials. Proc. ACM Manag. Data 2 (3) (2024)
Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR (2024)
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)
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) (2024)
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 (2024)
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 (2024)
Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. ICLR (2024)
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 (2024)
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. SIGMOD Conference Companion (2024)
Daoyuan Chen, Yaliang Li, Bolin Ding
Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. KDD (2024)
Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
VertiMRF: Differentially Private Vertical Federated Data Synthesis. KDD (2024)
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 (2024)
Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
Improving LoRA in Privacy-preserving Federated Learning. CoRR (2024)
Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei
Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. WWW (2024)
Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
Improving LoRA in Privacy-preserving Federated Learning. ICLR (2024)
Xingguang Chen, Rong Zhu, Bolin Ding, Sibo Wang, Jingren Zhou
Lero: applying learning-to-rank in query optimizer. VLDB J. 33 (5) (2024)
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)
Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou
An Auction-based Marketplace for Model Trading in Federated Learning. CoRR (2024)
Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
On the Design and Analysis of LLM-Based Algorithms. CoRR (2024)
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 (2024)
Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CIDR (2024)
Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding
Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining. CoRR (2024)
Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
VertiMRF: Differentially Private Vertical Federated Data Synthesis. CoRR (2024)
Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR (2024)
Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. CoRR (2024)
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 (2024)
Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. SDM (2024)
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) (2024)
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR (2024)
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) (2024)
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 (2024)
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD (2024)
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 (2024)
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. KDD (2024)
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) (2024)
Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou
Learned Index with Dynamic $\epsilon$. ICLR (2023)
Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen
Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD (2023)
Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang, Haifeng Xu
Competitive Information Design for Pandora's Box. SODA (2023)
Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD (2023)
Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Cong Zhang, Weiran Liu, Bolin Ding, Dongdai Lin
Efficient Private Multiset ID Protocols. ICICS (2023)
Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan
DILI: A Distribution-Driven Learned Index. Proc. VLDB Endow. 16 (9) (2023)
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 (2023)
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 (2023)
Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
Tunable Soft Prompts are Messengers in Federated Learning. CoRR (2023)
Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR (2023)
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 (2023)
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) (2023)
Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. ACM Trans. Inf. Syst. 41 (3) (2023)
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) (2023)
Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW (2023)
Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML (2023)
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 (2023)
Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CoRR (2023)
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) (2023)
Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. CoRR (2023)
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 (2023)
Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. 16 (5) (2023)
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 (2023)
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 (2023)
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 (2023)
Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR (2023)
Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) (2023)
Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR (2023)
Yang Deng, Yaliang Li, Bolin Ding, Wai Lam
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
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) (2023)
Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML (2023)
Cong Zhang, Weiran Liu, Bolin Ding, Dongdai Lin
Efficient Private Multiset ID Protocols. IACR Cryptol. ePrint Arch. 2023 (2023)
Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan
DILI: A Distribution-Driven Learned Index. CoRR (2023)
Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou
Lero: A Learning-to-Rank Query Optimizer. CoRR (2023)
Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding
Graph Neural Networks with Node-wise Architecture. KDD (2022)
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)
Chong Chen, Fei Sun, Min Zhang, Bolin Ding
Recommendation Unlearning. WWW (2022)
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 (2022)
Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. NeurIPS (2022)
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 (2022)
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)
Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
Towards Universal Sequence Representation Learning for Recommender Systems. CoRR (2022)
Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang
Explainable Neural Rule Learning. WWW (2022)
Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. CoRR (2022)
Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui
Contrastive Learning for Sequential Recommendation. ICDE (2022)
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)
Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen
Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract). ICDE (2022)
Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. ACM Trans. Inf. Syst. 40 (4) (2022)
Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. NeurIPS (2022)
Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
Towards Universal Sequence Representation Learning for Recommender Systems. KDD (2022)
Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou
Strengthening Order Preserving Encryption with Differential Privacy. CCS (2022)
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) (2022)
Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR (2022)
Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
iFlood: A Stable and Effective Regularizer. ICLR (2022)
Yaliang Li, Bolin Ding, Jingren Zhou
A Practical Introduction to Federated Learning. KDD (2022)
Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding
Proactively Control Privacy in Recommender Systems. CoRR (2022)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bolin Ding