NUITS: A Novel User Interface for Efficient Keyword Search over Databases. - Shan Wang 001; Zhaohui Peng; Jun Zhang 004; Lu Qin 001; Sheng Wang; Jeffrey Xu Yu; Bolin Ding (VLDB, 2006)

Cost-Based Query Optimization for Multi Reachability Joins. - Jiefeng Cheng; Jeffrey Xu Yu; Bolin Ding (DASFAA, 2007)

TwigList : Make Twig Pattern Matching Fast. - Lu Qin 001; Jeffrey Xu Yu; Bolin Ding (DASFAA, 2007)

Finding Top-k Min-Cost Connected Trees in Databases. - Bolin Ding; Jeffrey Xu Yu; Shan Wang 001; Lu Qin 001; Xiao Zhang 001; Xuemin Lin 001 (ICDE, 2007)

Finding time-dependent shortest paths over large graphs. - Bolin Ding; Jeffrey Xu Yu; Lu Qin 001 (EDBT, 2008)

Fast Graph Pattern Matching. - Jiefeng Cheng; Jeffrey Xu Yu; Bolin Ding; Philip S. Yu; Haixun Wang (ICDE, 2008)

Text Cube: Computing IR Measures for Multidimensional Text Database Analysis. - Cindy Xide Lin; Bolin Ding; Jiawei Han 001; Feida Zhu 001; Bo Zhao 001 (ICDM, 2008)

Stream Sequential Pattern Mining with Precise Error Bounds. - Luiz F. Mendes; Bolin Ding; Jiawei Han 001 (ICDM, 2008)

Monitoring Aggregate k-NN Objects in Road Networks. - Lu Qin 001; Jeffrey Xu Yu; Bolin Ding; Yoshiharu Ishikawa (SSDBM, 2008)

Classifying Data Streams with Skewed Class Distributions and Concept Drifts. - Jing Gao 004; Bolin Ding; Wei Fan 001; Jiawei Han 001; Philip S. Yu (IEEE Internet Comput., 2008)

Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database. - Bolin Ding; David Lo 001; Jiawei Han 001; Siau-Cheng Khoo (ICDE, 2009)

oCast: Optimal Multicast Routing Protocol for Wireless Sensor Networks. - Lu Su 001; Bolin Ding; Yong Yang 009; Tarek F. Abdelzaher; Guohong Cao; Jennifer C. Hou (ICNP, 2009)

Making filters smart in distributed data stream environments. - Cheqing Jin; Bolin Ding; Jeffrey Xu Yu (Inf. Sci., 2009)

Query translation from XPath to SQL in the presence of recursive DTDs. - Wenfei Fan; Jeffrey Xu Yu; Jianzhong Li 001; Bolin Ding; Lu Qin 001 (VLDB J., 2009)

Stream Mining. - Jiawei Han 001; Bolin Ding (Encyclopedia of Database Systems, 2009)

Keyword Search in Text Cube: Finding Top-k Aggregated Cell Documents. - Bolin Ding; Yintao Yu; Bo Zhao 001; Cindy Xide Lin; Jiawei Han 001; Chengxiang Zhai (CIDU, 2010)

Visual cube and on-line analytical processing of images. - Xin Jin 001; Jiawei Han 001; Liangliang Cao; Jiebo Luo 001; Bolin Ding; Cindy Xide Lin (CIKM, 2010)

TopCells: Keyword-based search of top-k aggregated documents in text cube. - Bolin Ding; Bo Zhao 001; Cindy Xide Lin; Jiawei Han 001; Chengxiang Zhai (ICDE, 2010)

Mining periodic behaviors for moving objects. - Zhenhui Li; Bolin Ding; Jiawei Han 001; Roland Kays; Peter Nye (KDD, 2010)

Swarm: Mining Relaxed Temporal Moving Object Clusters. - Zhenhui Li; Bolin Ding; Jiawei Han 001; Roland Kays (Proc. VLDB Endow., 2010)

TEXplorer: keyword-based object search and exploration in multidimensional text databases. - Bo Zhao 001; Cindy Xide Lin; Bolin Ding; Jiawei Han 001 (CIKM, 2011)

Bidirectional mining of non-redundant recurrent rules from a sequence database. - David Lo 001; Bolin Ding; Lucia; Jiawei Han 001 (ICDE, 2011)

Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks. - Lu Su 001; Jing Gao 004; Yong Yang 009; Tarek F. Abdelzaher; Bolin Ding; Jiawei Han 001 (SenSys, 2011)

Differentially private data cubes: optimizing noise sources and consistency. - Bolin Ding; Marianne Winslett; Jiawei Han 001; Zhenhui Li (SIGMOD Conference, 2011)

Mining Significant Time Intervals for Relationship Detection. - Zhenhui Li; Cindy Xide Lin; Bolin Ding; Jiawei Han 001 (SSTD, 2011)

Fast Set Intersection in Memory. - Bolin Ding; Arnd Christian König (Proc. VLDB Endow., 2011)

Distance-Constraint Reachability Computation in Uncertain Graphs. - Ruoming Jin; Lin Liu 001; Bolin Ding; Haixun Wang (Proc. VLDB Endow., 2011)

A Statistical Approach Towards Robust Progress Estimation. - Arnd Christian König; Bolin Ding; Surajit Chaudhuri; Vivek R. Narasayya (Proc. VLDB Endow., 2011)

MoveMine: Mining moving object data for discovery of animal movement patterns. - Zhenhui Li; Jiawei Han 001; Ming Ji; Lu-An Tang; Yintao Yu; Bolin Ding; Jae-Gil Lee 001; Roland Kays (ACM Trans. Intell. Syst. Technol., 2011)

Efficient Keyword-Based Search for Top-K Cells in Text Cube. - Bolin Ding; Bo Zhao 001; Cindy Xide Lin; Jiawei Han 001; Chengxiang Zhai; Ashok N. Srivastava; Nikunj C. Oza (IEEE Trans. Knowl. Data Eng., 2011)

Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data. - Yongxin Tong; Lei Chen 002; Bolin Ding (ICDE, 2012)

Optimizing index for taxonomy keyword search. - Bolin Ding; Haixun Wang; Ruoming Jin; Jiawei Han 001; Zhongyuan Wang 006 (SIGMOD Conference, 2012)

Mining periodic behaviors of object movements for animal and biological sustainability studies. - Zhenhui Li; Jiawei Han 001; Bolin Ding; Roland Kays (Data Min. Knowl. Discov., 2012)

Privacy-preserving data publishing and analytics using data cubes - Bolin Ding (2012)

EventCube: multi-dimensional search and mining of structured and text data. - Fangbo Tao; Kin Hou Lei; Jiawei Han 001; Chengxiang Zhai; Xiao Cheng; Marina Danilevsky; Nihit Desai; Bolin Ding; Jing Ge; Heng Ji 001; Rucha Kanade; Anne Kao; et al. (KDD, 2013)

Attraction and Avoidance Detection from Movements. - Zhenhui Li; Bolin Ding; Fei Wu 007; Tobias Kin Hou Lei; Roland Kays; Margaret Crofoot (Proc. VLDB Endow., 2013)

Scalable near real-time failure localization of data center networks. - Herodotos Herodotou; Bolin Ding; Shobana Balakrishnan; Geoff Outhred; Percy Fitter (KDD, 2014)

Blowfish privacy: tuning privacy-utility trade-offs using policies. - Xi He 001; Ashwin Machanavajjhala; Bolin Ding (SIGMOD Conference, 2014)

Discovering queries based on example tuples. - Yanyan Shen; Kaushik Chakrabarti; Surajit Chaudhuri; Bolin Ding; Lev Novik (SIGMOD Conference, 2014)

Answering Query Workloads with Optimal Error under Blowfish Privacy. - Samuel Haney; Ashwin Machanavajjhala; Bolin Ding (CoRR, 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)

S4: Top-k Spreadsheet-Style Search for Query Discovery. - Fotis Psallidas; Bolin Ding; Kaushik Chakrabarti; Surajit Chaudhuri (SIGMOD Conference, 2015)

Design of Policy-Aware Differentially Private Algorithms. - Samuel Haney; Ashwin Machanavajjhala; Bolin Ding (Proc. VLDB Endow., 2015)

Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems. - Haiming Jin; Lu Su 001; Bolin Ding; Klara Nahrstedt; Nikita Borisov (ICDCS, 2016)

Online mobile Micro-Task Allocation in spatial crowdsourcing. - Yongxin Tong; Jieying She; Bolin Ding; Libin Wang 001; Lei Chen 002 (ICDE, 2016)

Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee. - Bolin Ding; Silu Huang; Surajit Chaudhuri; Kaushik Chakrabarti; Chi Wang 001 (SIGMOD Conference, 2016)

Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters. - Srikanth Kandula; Anil Shanbhag; Aleksandar Vitorovic; Matthaios Olma; Robert Grandl; Surajit Chaudhuri; Bolin Ding (SIGMOD Conference, 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; et al. (SIGMOD Conference, 2016)

Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis. - Yongxin Tong; Jieying She; Bolin Ding; Lei Chen 002; Tianyu Wo; Ke Xu 001 (Proc. VLDB Endow., 2016)

Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data. - Dominik Moritz; Danyel Fisher; Bolin Ding; Chi Wang 001 (CHI, 2017)

Collecting Telemetry Data Privately. - Bolin Ding; Janardhan Kulkarni; Sergey Yekhanin (NIPS, 2017)

Approximate Query Processing: No Silver Bullet. - Surajit Chaudhuri; Bolin Ding; Srikanth Kandula (SIGMOD Conference, 2017)

Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm. - Shaoshan Liu; Bolin Ding; Jie Tang 003; Dawei Sun; Zhe Zhang 006; Grace Tsai; Jean-Luc Gaudiot (CoRR, 2017)

Flexible Online Task Assignment in Real-Time Spatial Data. - Yongxin Tong; Libin Wang 001; Zimu Zhou; Bolin Ding; Lei Chen 002; Jieping Ye; Ke Xu 001 (Proc. VLDB Endow., 2017)

Comparing Population Means Under Local Differential Privacy: With Significance and Power. - Bolin Ding; Harsha Nori; Paul Li; Joshua Allen (AAAI, 2018)

An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery. - Yaliang Li; Chenglin Miao; Lu Su 001; Jing Gao 004; Qi Li 012; Bolin Ding; Zhan Qin; Kui Ren 001 (KDD, 2018)

Columnstore and B+ tree - Are Hybrid Physical Designs Important? - Adam Dziedzic; Jingjing Wang 008; Sudipto Das; Bolin Ding; Vivek R. Narasayya; Manoj Syamala (SIGMOD Conference, 2018)

Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches. - Azade Nazi; Bolin Ding; Vivek R. Narasayya; Surajit Chaudhuri (Proc. VLDB Endow., 2018)

Stream Mining. - Jiawei Han 001; Bolin Ding (Encyclopedia of Database Systems (2nd ed.), 2018)

Efficient Identification of Approximate Best Configuration of Training in Large Datasets. - Silu Huang; Chi Wang 001; Bolin Ding; Surajit Chaudhuri (AAAI, 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 001; Ce Zhang 001 (SysML, 2019)

An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors. - Joshua Allen; Bolin Ding; Janardhan Kulkarni; Harsha Nori; Olga Ohrimenko; Sergey Yekhanin (NeurIPS, 2019)

Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. - Tianhao Wang 001; Bolin Ding; Jingren Zhou 001; Cheng Hong 001; Zhicong Huang; Ninghui Li; Somesh Jha (SIGMOD Conference, 2019)

Practical and Robust Privacy Amplification with Multi-Party Differential Privacy. - Tianhao Wang 001; Min Xu; Bolin Ding; Jingren Zhou 001; Ninghui Li; Somesh Jha (CoRR, 2019)

Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs. - Zhuolun Xiang; Bolin Ding; Xi He 001; Jingren Zhou 001 (CoRR, 2019)

DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy. - Min Xu; Tianhao Wang 001; Bolin Ding; Jingren Zhou 001; Cheng Hong 001; Zhicong Huang (Proc. VLDB Endow., 2019)

An Adaptive Embedding Framework for Heterogeneous Information Networks. - Daoyuan Chen; Yaliang Li; Bolin Ding; Ying Shen 001 (CIKM, 2020)

Towards Differentially Private Truth Discovery for Crowd Sensing Systems. - Yaliang Li; Houping Xiao; Zhan Qin; Chenglin Miao; Lu Su 001; Jing Gao 004; Kui Ren 001; Bolin Ding (ICDCS, 2020)

Automated Relational Meta-learning. - Huaxiu Yao; Xian Wu 001; Zhiqiang Tao; Yaliang Li; Bolin Ding; Ruirui Li 002; Zhenhui Li (ICLR, 2020)

Simple and Deep Graph Convolutional Networks. - Ming Chen; Zhewei Wei; Zengfeng Huang; Bolin Ding; Yaliang Li (ICML, 2020)

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. - Daoyuan Chen; Yaliang Li; Minghui Qiu; Zhen Wang 036; Bofang Li; Bolin Ding; Hongbo Deng; Jun Huang 007; Wei Lin 016; Jingren Zhou 001 (IJCAI, 2020)

Intent Preference Decoupling for User Representation on Online Recommender System. - Zhaoyang Liu 003; Haokun Chen; Fei Sun 001; Xu Xie; Jinyang Gao; Bolin Ding; Yanyan Shen (IJCAI, 2020)

Linear and Range Counting under Metric-based Local Differential Privacy. - Zhuolun Xiang; Bolin Ding; Xi He 001; Jingren Zhou 001 (ISIT, 2020)

Scalable Graph Neural Networks via Bidirectional Propagation. - Ming Chen; Zhewei Wei; Bolin Ding; Yaliang Li; Ye Yuan 001; Xiaoyong Du 001; Ji-Rong Wen (NeurIPS, 2020)

Learning to Mutate with Hypergradient Guided Population. - Zhiqiang Tao; Yaliang Li; Bolin Ding; Ce Zhang 001; Jingren Zhou 001; Yun Fu 001 (NeurIPS, 2020)

Sequential Recommendation with Self-Attentive Multi-Adversarial Network. - Ruiyang Ren; Zhaoyang Liu 003; Yaliang Li; Wayne Xin Zhao; Hui Wang 072; Bolin Ding; Ji-Rong Wen (SIGIR, 2020)

Practical Data Poisoning Attack against Next-Item Recommendation. - Hengtong Zhang; Yaliang Li; Bolin Ding; Jing Gao 004 (WWW, 2020)

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Bolin Ding; Nezihe Merve Gürel; Ce Zhang 001; Minlie Huang; Wei Lin 016; Jingren Zhou 001 (CoRR, 2020)

Intertwining Order Preserving Encryption and Differential Privacy. - Amrita Roy Chowdhury 001; Bolin Ding; Somesh Jha; Weiran Liu; Jingren Zhou 001 (CoRR, 2020)

Contrastive Pre-training for Sequential Recommendation. - Xu Xie; Fei Sun 001; Zhaoyang Liu 003; Jinyang Gao; Bolin Ding; Bin Cui 001 (CoRR, 2020)

π-Hub: Large-scale video learning, storage, and retrieval on heterogeneous hardware platforms. - Jie Tang 003; Shaoshan Liu; Jie Cao 003; Dawei Sun; Bolin Ding; Jean-Luc Gaudiot; Weisong Shi (Future Gener. Comput. Syst., 2020)

Improving Utility and Security of the Shuffler-based Differential Privacy. - Tianhao Wang 001; Min Xu; Bolin Ding; Jingren Zhou 001; Cheng Hong 001; Zhicong Huang; Ninghui Li; Somesh Jha (Proc. VLDB Endow., 2020)

Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy. - Min Xu; Bolin Ding; Tianhao Wang 001; Jingren Zhou 001 (Proc. VLDB Endow., 2020)

AutoML: From Methodology to Application. - Yaliang Li; Zhen Wang 036; Yuexiang Xie; Bolin Ding; Kai Zeng 002; Ce Zhang 001 (CIKM, 2021)

CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. - Xu Xie; Zhaoyang Liu 003; Shiwen Wu; Fei Sun 001; Cihang Liu; Jiawei Chen 007; Jinyang Gao; Bin Cui 001; Bolin Ding (CIKM, 2021)

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. - Yuexiang Xie; Fei Sun 001; Yang Deng 002; Yaliang Li; Bolin Ding (EMNLP (Findings), 2021)

AutoML: A Perspective where Industry Meets Academy. - Yaliang Li; Zhen Wang 036; Bolin Ding; Ce Zhang 001 (KDD, 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 (KDD, 2021)

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Bolin Ding; Nezihe Merve Gürel; Ce Zhang 001; Minlie Huang; Wei Lin 016; Jingren Zhou 001 (KDD, 2021)

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. - Yang Deng 002; Yaliang Li; Fei Sun 001; Bolin Ding; Wai Lam (SIGIR, 2021)

Efficient Reductions and a Fast Algorithm of Maximum Weighted Independent Set. - Mingyu Xiao 001; Sen Huang; Yi Zhou 016; Bolin Ding (WWW, 2021)

A Pluggable Learned Index Method via Sampling and Gap Insertion. - Yaliang Li; Daoyuan Chen; Bolin Ding; Kai Zeng 002; Jingren Zhou 001 (CoRR, 2021)

Competitive Information Disclosure with Multiple Receivers. - Bolin Ding; Yiding Feng 001; Chien-Ju Ho; Wei Tang (CoRR, 2021)

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation. - Xu Xie; Zhaoyang Liu 003; Shiwen Wu; Fei Sun 001; Cihang Liu; Jiawei Chen 007; Jinyang Gao; Bin Cui 001; Bolin Ding (CoRR, 2021)

Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query Size. - Rong Zhu; Tianjing Zeng; Andreas Pfadler; Wei Chen 133; Bolin Ding; Jingren Zhou 001 (CoRR, 2021)

Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling. - Yang Deng 002; Yaliang Li; Wenxuan Zhang 001; Bolin Ding; Wai Lam (CoRR, 2021)

Baihe: SysML Framework for AI-driven Databases. - Andreas Pfadler; Rong Zhu; Wei Chen 133; Botong Huang; Tianjing Zeng; Bolin Ding; Jingren Zhou 001 (CoRR, 2021)

Synthetic Data Generation with Differential Privacy via Bayesian Networks. - Ergute Bao; Xiaokui Xiao; Jun Zhao 007; Dongping Zhang; Bolin Ding (J. Priv. Confidentiality, 2021)

CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy. - Ergute Bao; Yin Yang 001; Xiaokui Xiao; Bolin Ding (Proc. VLDB Endow., 2021)

Federated Matrix Factorization with Privacy Guarantee. - Zitao Li; Bolin Ding; Ce Zhang 001; Ninghui Li; Jingren Zhou 001 (Proc. VLDB Endow., 2021)

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Jiawei Jiang 001; Yaliang Li; Bolin Ding; Jingren Zhou 001; Zhi Yang 001; Wentao Wu 001; Ce Zhang 001; Bin Cui 001 (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 001 (Proc. VLDB Endow., 2021)

Learning to be a Statistician: Learned Estimator for Number of Distinct Values. - Renzhi Wu; Bolin Ding; Xu Chu 002; Zhewei Wei; Xiening Dai; Tao Guan; Jingren Zhou 001 (Proc. VLDB Endow., 2021)

FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. - Shuyuan Yan; Bolin Ding; Wei Guo; Jingren Zhou 001; Zhewei Wei; Xiaowei Jiang; Sheng Xu (Proc. VLDB Endow., 2021)

Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing. - Yongxin Tong; Yuxiang Zeng; Bolin Ding; Libin Wang 001; Lei Chen 002 (IEEE Trans. Knowl. Data Eng., 2021)

ID-Agnostic User Behavior Pre-training for Sequential Recommendation. - Shanlei Mu; Yupeng Hou; Wayne Xin Zhao; Yaliang Li; Bolin Ding (CCIR, 2022)

Strengthening Order Preserving Encryption with Differential Privacy. - Amrita Roy Chowdhury 001; Bolin Ding; Somesh Jha; Weiran Liu; Jingren Zhou 001 (CCS, 2022)

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. - Jinjia Feng; Zhen Wang 036; Yaliang Li; Bolin Ding; Zhewei Wei; Hongteng Xu (CIKM, 2022)

Learned Query Optimizer: At the Forefront of AI-Driven Databases. - Rong Zhu; Ziniu Wu; Chengliang Chai; Andreas Pfadler; Bolin Ding; Guoliang Li 001; Jingren Zhou 001 (EDBT, 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 002 (ICDE, 2022)

Contrastive Learning for Sequential Recommendation. - Xu Xie; Fei Sun 001; Zhaoyang Liu 003; Shiwen Wu; Jinyang Gao; Jiandong Zhang; Bolin Ding; Bin Cui 001 (ICDE, 2022)

iFlood: A Stable and Effective Regularizer. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Ce Zhang 001; Jingren Zhou 001; Bolin Ding (ICLR, 2022)

Finding Meta Winning Ticket to Train Your MAML. - Dawei Gao; Yuexiang Xie; Zimu Zhou; Zhen Wang 036; Yaliang Li; Bolin Ding (KDD, 2022)

Towards Universal Sequence Representation Learning for Recommender Systems. - Yupeng Hou; Shanlei Mu; Wayne Xin Zhao; Yaliang Li; Bolin Ding; Ji-Rong Wen (KDD, 2022)

A Practical Introduction to Federated Learning. - Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 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 001 (KDD, 2022)

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. - Zhen Wang 036; Weirui Kuang; Yuexiang Xie; Liuyi Yao; Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 2022)

Graph Neural Networks with Node-wise Architecture. - Zhen Wang 036; Zhewei Wei; Yaliang Li; Weirui Kuang; Bolin Ding (KDD, 2022)

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. - Daoyuan Chen; Dawei Gao; Weirui Kuang; Yaliang Li; Bolin Ding (NeurIPS, 2022)

VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? - Jiawei Jiang 001; Lukas Burkhalter; Fangcheng Fu; Bolin Ding; Bo Du 001; Anwar Hithnawi; Bo Li 026; Ce Zhang 001 (NeurIPS, 2022)

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. - Runlin Lei; Zhen Wang 036; Yaliang Li; Bolin Ding; Zhewei Wei (NeurIPS, 2022)

Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. - Shanlei Mu; Yaliang Li; Wayne Xin Zhao; Jingyuan Wang 001; Bolin Ding; Ji-Rong Wen (SIGIR, 2022)

One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees. - Jinglin Peng; Bolin Ding; Jiannan Wang 001; Kai Zeng 002; Jingren Zhou 001 (SIGMOD Conference, 2022)

Recommendation Unlearning. - Chong Chen 001; Fei Sun 001; Min Zhang 006; Bolin Ding (WWW, 2022)

Explainable Neural Rule Learning. - Shaoyun Shi; Yuexiang Xie; Zhen Wang 036; Bolin Ding; Yaliang Li; Min Zhang 006 (WWW, 2022)

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. - Yiqing Xie; Zhen Wang 036; Carl Yang 001; Yaliang Li; Bolin Ding; Hongbo Deng; Jiawei Han 001 (WWW, 2022)

Proactively Control Privacy in Recommender Systems. - Ziqian Chen; Fei Sun 001; Yifan Tang; Haokun Chen; Jinyang Gao; Bolin Ding (CoRR, 2022)

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. - Yuexiang Xie; Zhen Wang 036; Daoyuan Chen; Dawei Gao; Liuyi Yao; Weirui Kuang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2022)

A Benchmark for Federated Hetero-Task Learning. - Liuyi Yao; Dawei Gao; Zhen Wang 036; Yuexiang Xie; Weirui Kuang; Daoyuan Chen; Haohui Wang; Chenhe Dong; Bolin Ding; Yaliang Li (CoRR, 2022)

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization. - Zhen Wang 036; Weirui Kuang; Ce Zhang 001; Bolin Ding; Yaliang Li (CoRR, 2022)

Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. - Chenhe Dong; Yuexiang Xie; Bolin Ding; Ying Shen 001; Yaliang Li (CoRR, 2022)

Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. - Yang Deng 002; Yaliang Li; Wenxuan Zhang 001; Bolin Ding; Wai Lam (ACM Trans. Inf. Syst., 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)

Tunable Soft Prompts are Messengers in Federated Learning. - Chenhe Dong; Yuexiang Xie; Bolin Ding; Ying Shen 001; Yaliang Li (EMNLP (Findings), 2023)

Learned Index with Dynamic $ epsilon$. - Daoyuan Chen; Wuchao Li; Yaliang Li; Bolin Ding; Kai Zeng 002; Defu Lian; Jingren Zhou 001 (ICLR, 2023)

Efficient Personalized Federated Learning via Sparse Model-Adaptation. - Daoyuan Chen; Liuyi Yao; Dawei Gao; Bolin Ding; Yaliang Li (ICML, 2023)

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. - Zhen Wang 036; Weirui Kuang; Ce Zhang 001; Bolin Ding; Yaliang Li (ICML, 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 001 (KDD, 2023)

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. - Zeyu Qin; Liuyi Yao; Daoyuan Chen; Yaliang Li; Bolin Ding; Minhao Cheng (KDD, 2023)

Competitive Information Design for Pandora's Box. - Bolin Ding; Yiding Feng 001; Chien-Ju Ho; Wei Tang; Haifeng Xu (SODA, 2023)

Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. - Liuyi Yao; Yaliang Li; Bolin Ding; Jingren Zhou 001; Jinduo Liu 001; Mengdi Huai; Jing Gao 004 (WWW, 2023)

Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. - Xue Wang 010; Tian Zhou 004; Qingsong Wen; Jinyang Gao; Bolin Ding; Rong Jin 001 (CoRR, 2023)

ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads (Extended). - Pengfei Li 005; Wenqing Wei; Rong Zhu; Bolin Ding; Jingren Zhou 001; Hua Lu 001 (CoRR, 2023)

Efficient Private Multiset ID Protocols. - Cong Zhang; Weiran Liu; Bolin Ding; Dongdai Lin (IACR Cryptol. ePrint Arch., 2023)

BASE: Bridging the Gap between Cost and Latency for Query Optimization. - Xu Chen 023; Zhen Wang 036; Shuncheng Liu 001; Yaliang Li; Kai Zeng 002; Bolin Ding; Jingren Zhou 001; Han Su 001; Kai Zheng 001 (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 001 (Proc. VLDB Endow., 2023)

DILI: A Distribution-Driven Learned Index. - Pengfei Li 005; Hua Lu 001; Rong Zhu; Bolin Ding; Long Yang 004; Gang Pan 001 (Proc. VLDB Endow., 2023)

ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads. - Pengfei Li 005; Wenqing Wei; Rong Zhu; Bolin Ding; Jingren Zhou 001; Hua Lu 001 (Proc. VLDB Endow., 2023)

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. - Yuexiang Xie; Zhen Wang 036; Dawei Gao; Daoyuan Chen; Liuyi Yao; Weirui Kuang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (Proc. VLDB Endow., 2023)

Lero: A Learning-to-Rank Query Optimizer. - Rong Zhu; Wei Chen 133; Bolin Ding; Xingguang Chen; Andreas Pfadler; Ziniu Wu; Jingren Zhou 001 (Proc. VLDB Endow., 2023)

Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation. - Yexuan Shi; Yongxin Tong; Yuxiang Zeng; Zimu Zhou; Bolin Ding; Lei Chen 002 (IEEE Trans. Knowl. Data Eng., 2023)

Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. - Ziqian Chen; Fei Sun 001; Yifan Tang; Haokun Chen; Jinyang Gao; Bolin Ding (ACM Trans. Inf. Syst., 2023)

LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. - Hengtong Zhang; Yaliang Li; Bolin Ding; Jing Gao 004 (IEEE Trans. Knowl. Data Eng., 2023)

Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning. - Yang Deng 002; Yaliang Li; Bolin Ding; Wai Lam (IEEE Trans. Knowl. Data Eng., 2023)

When to Trust LLMs: Aligning Confidence with Response Quality. - Shuchang Tao; Liuyi Yao; Hanxing Ding; Yuexiang Xie; Qi Cao; Fei Sun 001; Jinyang Gao; Huawei Shen; Bolin Ding (ACL (Findings), 2024)

SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. - Yin Lin; Bolin Ding; H. V. Jagadish; Jingren Zhou 001 (CIDR, 2024)

Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. - Jinjia Feng; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding; Hongteng Xu (CIKM, 2024)

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. - Peiyu Liu 002; Zikang Liu 001; Ze-Feng Gao; Dawei Gao; Wayne Xin Zhao; Yaliang Li; Bolin Ding; Ji-Rong Wen (LREC/COLING, 2024)

Improving LoRA in Privacy-preserving Federated Learning. - Youbang Sun; Zitao Li; Yaliang Li; Bolin Ding (ICLR, 2024)

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. - Xue Wang 010; Tian Zhou 004; Qingsong Wen; Jinyang Gao; Bolin Ding; Rong Jin 001 (ICLR, 2024)

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. - Yanxi Chen 001; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou 001 (ICML, 2024)

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. - Kexin Huang; Ziqian Chen; Xue Wang 010; Chongming Gao; Jinyang Gao; Bolin Ding; Xiang Wang 010 (ICML, 2024)

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. - Zhen Qin 004; Daoyuan Chen; Bingchen Qian; Bolin Ding; Yaliang Li; Shuiguang Deng (ICML, 2024)

Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. - Daoyuan Chen; Yaliang Li; Bolin Ding (KDD, 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 001 (KDD, 2024)

FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. - Feijie Wu; Zitao Li; Yaliang Li; Bolin Ding; Jing Gao 004 (KDD, 2024)

VertiMRF: Differentially Private Vertical Federated Data Synthesis. - Fangyuan Zhao; Zitao Li; Xuebin Ren; Bolin Ding; Shusen Yang; Yaliang Li (KDD, 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 001 (MLSys, 2024)

β-DPO: Direct Preference Optimization with Dynamic β. - Junkang Wu; Yuexiang Xie; Zhengyi Yang 007; Jiancan Wu; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2024)

Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. - Ke Zhang; Lichao Sun 001; Bolin Ding; Siu Ming Yiu; Carl Yang 001 (SDM, 2024)

Data-Juicer: A One-Stop Data Processing System for Large Language Models. - Daoyuan Chen; Yilun Huang 004; Zhijian Ma; Hesen Chen; Xuchen Pan; Ce Ge; Dawei Gao; Yuexiang Xie; Zhaoyang Liu 003; Jinyang Gao; Yaliang Li; Bolin Ding; et al. (SIGMOD Conference Companion, 2024)

Learned Query Optimizer: What is New and What is Next. - Rong Zhu; Lianggui Weng; Bolin Ding; Jingren Zhou 001 (SIGMOD Conference Companion, 2024)

SoK: Privacy-Preserving Data Synthesis. - Yuzheng Hu; Fan Wu 011; Qinbin Li; Yunhui Long; Gonzalo Munilla Garrido; Chang Ge 002; Bolin Ding; David A. Forsyth; Bo Li 026; Dawn Song (SP, 2024)

Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. - Zhen Wang 036; Yaliang Li; Bolin Ding; Yule Li; Zhewei Wei (WWW, 2024)

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

An Auction-based Marketplace for Model Trading in Federated Learning. - Yue Cui 001; Liuyi Yao; Yaliang Li; Ziqian Chen; Bolin Ding; Xiaofang Zhou 001 (CoRR, 2024)

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. - Yuan Gao 020; Haokun Chen; Xiang Wang 010; Zhicai Wang; Xue Wang 010; Jinyang Gao; Bolin Ding (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; et al. (CoRR, 2024)

A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. - Yue Cui 001; Liuyi Yao; Zitao Li; Yaliang Li; Bolin Ding; Xiaofang Zhou 001 (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)

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. - Zhen Qin 004; Daoyuan Chen; Wenhao Zhang; Liuyi Yao; Yilun Huang 004; Bolin Ding; Yaliang Li; Shuiguang Deng (CoRR, 2024)

Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. - Daoyuan Chen; Haibin Wang; Yilun Huang 004; Ce Ge; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

On the Design and Analysis of LLM-Based Algorithms. - Yanxi Chen 001; Yaliang Li; Bolin Ding; Jingren Zhou 001 (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 001 (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)

Exploring Selective Layer Fine-Tuning in Federated Learning. - Yuchang Sun 001; Yuexiang Xie; Bolin Ding; Yaliang Li; Jun Zhang 004 (CoRR, 2024)

GenSim: A General Social Simulation Platform with Large Language Model based Agents. - Jiakai Tang; Heyang Gao; Xuchen Pan; Lei Wang 198; Haoran Tan; Dawei Gao; Yushuo Chen; Xu Chen 017; Yankai Lin; Yaliang Li; Bolin Ding; Jingren Zhou 001; et al. (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)

α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. - Junkang Wu; Xue Wang 010; Zhengyi Yang 007; Jiancan Wu; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (CoRR, 2024)

Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning. - Pengfei He; Zitao Li; Yue Xing 002; Yaling Li; Jiliang Tang; Bolin Ding (CoRR, 2024)

A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models. - Yanxi Chen 001; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data. - Ting Zhou; Daoyuan Chen; Qirui Jiao; Bolin Ding; Yaliang Li; Ying Shen 001 (CoRR, 2024)

Learned Query Optimizers. - Bolin Ding; Rong Zhu; Jingren Zhou 001 (Found. Trends Databases, 2024)

Learning-based Property Estimation with Polynomials. - Jiajun Li; Runlin Lei; Sibo Wang 001; Zhewei Wei; Bolin Ding (Proc. ACM Manag. Data, 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 001 (Proc. VLDB Endow., 2024)

Eraser: Eliminating Performance Regression on Learned Query Optimizer. - Lianggui Weng; Rong Zhu; Di Wu 056; Bolin Ding; Bolong Zheng; Jingren Zhou 001 (Proc. VLDB Endow., 2024)

PilotScope: Steering Databases with Machine Learning Drivers. - Rong Zhu; Lianggui Weng; Wenqing Wei; Di Wu 056; Jiazhen Peng; Yifan Wang 012; Bolin Ding; Defu Lian; Bolong Zheng; Jingren Zhou 001 (Proc. VLDB Endow., 2024)

Performance-Based Pricing of Federated Learning via Auction. - Zitao Li; Bolin Ding; Liuyi Yao; Yaliang Li; Xiaokui Xiao; Jingren Zhou 001 (Proc. VLDB Endow., 2024)

AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. - Fei Wei; Ergute Bao; Xiaokui Xiao; Yin Yang 001; Bolin Ding (Proc. VLDB Endow., 2024)

Lero: applying learning-to-rank in query optimizer. - Xingguang Chen; Rong Zhu; Bolin Ding; Sibo Wang 001; Jingren Zhou 001 (VLDB J., 2024)

When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. - Weirui Kuang; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding (IEEE Trans. Knowl. Data Eng., 2024)

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. - Tianjing Zeng; Junwei Lan; Jiahong Ma; Wenqing Wei; Rong Zhu; Pengfei Li 005; Bolin Ding; Defu Lian; Zhewei Wei; Jingren Zhou 001 (Proc. VLDB Endow., 2024)

Is Sharing Neighbor Generator in Federated Graph Learning Safe? - Liuyi Yao; Zhen Wang 036; Yuexiang Xie; Yaliang Li; Weirui Kuang; Daoyuan Chen; Bolin Ding (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. - Yue Cui 001; Liuyi Yao; Shuchang Tao; Weijie Shi; Yaliang Li; Bolin Ding; Xiaofang Zhou 001 (ACL (Findings), 2025)

ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. - Hanxing Ding; Shuchang Tao; Liang Pang; Zihao Wei; Jinyang Gao; Bolin Ding; Huawei Shen; Xueqi Cheng (ACL (1), 2025)

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. - Jiarui Ji; Runlin Lei; Jialing Bi; Zhewei Wei; Xu Chen 017; Yankai Lin; Xuchen Pan; Yaliang Li; Bolin Ding (ACL (Findings), 2025)

Language Adaptation of Large Language Models: An Empirical Study on LLaMA2. - Shumin Wang; Yuexiang Xie; Bolin Ding; Jinyang Gao; Yanyong Zhang (COLING, 2025)

Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning. - Cheng Chen; Yunpeng Zhai; Yifan Zhao; Jinyang Gao; Bolin Ding; Jia Li (CVPR, 2025)

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Bolin Ding; Yaliang Li; Ying Shen 001 (CVPR, 2025)

A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. - Yue Cui 001; Liuyi Yao; Zitao Li; Yaliang Li; Keqin Zhong; Bingyi Liu; Bolin Ding; Xiaofang Zhou 001 (ICDE, 2025)

What is Wrong with Perplexity for Long-context Language Modeling? - Lizhe Fang; Yifei Wang 001; Zhaoyang Liu 003; Chenheng Zhang; Stefanie Jegelka; Jinyang Gao; Bolin Ding; Yisen Wang 001 (ICLR, 2025)

Agent-Oriented Planning in Multi-Agent Systems. - Ao Li; Yuexiang Xie; Songze Li; Fugee Tsung; Bolin Ding; Yaliang Li (ICLR, 2025)

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. - Junkang Wu; Yuexiang Xie; Zhengyi Yang 007; Jiancan Wu; Jiawei Chen 007; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (ICLR, 2025)

Language Models are Explorers for Join Discovery on Data Lakes. - Yaohua Wang; Bolin Ding; Rong Zhu; Haibin Wang; Zhijian Ma; Jingren Zhou 001 (SDM, 2025)

Large Language Models as Pretrained Data Engineers: Techniques and Opportunities. - Yin Lin; Bolin Ding; Jingren Zhou 001 (IEEE Data Eng. Bull., 2025)

Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering. - Feijie Wu; Zitao Li; Fei Wei; Yaliang Li; Bolin Ding; Jing Gao 004 (CoRR, 2025)

Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models. - Daoyuan Chen; Yilun Huang 004; Xuchen Pan; Nana Jiang; Haibin Wang; Ce Ge; Yushuo Chen; Wenhao Zhang; Zhijian Ma; Yilei Zhang; Jun Huang 007; Wei Lin 016; et al. (CoRR, 2025)

KIMAs: A Configurable Knowledge Integrated Multi-Agent System. - Zitao Li; Fei Wei; Yuexiang Xie; Dawei Gao; Weirui Kuang; Zhijian Ma; Bingchen Qian; Yaliang Li; Bolin Ding (CoRR, 2025)

Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price. - Botong Huang; Lianggui Weng; Wei Chen 133; Zuozhi Wang; Kai Zeng 002; Chen Li 001; Yihui Feng; Bolin Ding; Jingren Zhou 001 (Proc. VLDB Endow., 2025)

Larger or Smaller Reward Margins to Select Preferences for Alignment? - Kexin Huang; Junkang Wu; Ziqian Chen; Xue Wang 010; Jinyang Gao; Bolin Ding; Jiancan Wu; Xiangnan He 001; Xiang Wang 010 (CoRR, 2025)

Towards Anthropomorphic Conversational AI Part I: A Practical Framework. - Fei Wei; Yaliang Li; Bolin Ding (CoRR, 2025)

RePO: ReLU-based Preference Optimization. - Junkang Wu; Kexin Huang; Xue Wang 010; Jinyang Gao; Bolin Ding; Jiancan Wu; Xiangnan He 001; Xiang Wang 010 (CoRR, 2025)

ThinkFL: Self-Refining Failure Localization for Microservice Systems via Reinforcement Fine-Tuning. - Lingzhe Zhang; Yunpeng Zhai; Tong Jia; Chiming Duan; Siyu Yu; Jinyang Gao; Bolin Ding; Zhonghai Wu; Ying Li 012 (CoRR, 2025)

Automated Profile Inference with Language Model Agents. - Yuntao Du 002; Zitao Li; Bolin Ding; Yaliang Li; Hanshen Xiao; Jingren Zhou 001; Ninghui Li (CoRR, 2025)

Enhancing Latent Computation in Transformers with Latent Tokens. - Yuchang Sun 001; Yanxi Chen 001; Yaliang Li; Bolin Ding (CoRR, 2025)

Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yushuo Chen; Yuchang Sun 001; Daoyuan Chen; Wenhao Zhang; Yuexiang Xie; Yilun Huang 004; Yilei Zhang; Dawei Gao; Yaliang Li; Bolin Ding; et al. (CoRR, 2025)

Incentivizing Strong Reasoning from Weak Supervision. - Yige Yuan; Teng Xiao; Shuchang Tao; Xue Wang 010; Jinyang Gao; Bolin Ding; Bingbing Xu 001 (CoRR, 2025)

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection. - Yue Cui 001; Liuyi Yao; Zitao Li; Yaliang Li; Bolin Ding; Xiaofang Zhou 001 (CoRR, 2025)

GRELA: Exploiting graph representation learning in effective approximate query processing. - Pengfei Li 005; Yong Zhang; Wenqing Wei; Rong Zhu; Bolin Ding; Jingren Zhou 001; Shuxian Hu; Hua Lu 001 (VLDB J., 2025)

PC-MoE: Memory-Efficient and Privacy-Preserving Collaborative Training for Mixture-of-Experts LLMs. - Ze Yu Zhang; Bolin Ding; Bryan Kian Hsiang Low (CoRR, 2025)

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation. - Ze Yu Zhang; Zitao Li; Yaliang Li; Bolin Ding; Bryan Kian Hsiang Low (CoRR, 2025)

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model. - Xue Wang 010; Tian Zhou 004; Jinyang Gao; Bolin Ding; Jingren Zhou 001 (CoRR, 2025)

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL. - Yifu Liu; Yin Zhu; Yingqi Gao; Zhiling Luo; Xiaoxia Li; Xiaorong Shi; Yuntao Hong; Jinyang Gao; Yu Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2025)

ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions. - Yule Li; Yifeng Lu; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding (CoRR, 2025)

BridgeScope: A Universal Toolkit for Bridging Large Language Models and Databases. - Lianggui Weng; Dandan Liu; Rong Zhu; Bolin Ding; Jingren Zhou 001 (CoRR, 2025)

Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models. - Leyi Pan; Zheyu Fu; Yunpeng Zhai; Shuchang Tao; Sheng Guan; Shiyu Huang 001; Lingzhe Zhang; Zhaoyang Liu 003; Bolin Ding; Felix Henry; Lijie Wen 001; Aiwei Liu (CoRR, 2025)

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting. - Wenhao Zhang; Yuexiang Xie; Yuchang Sun 001; Yanxi Chen 001; Guoyin Wang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2025)

Tree-based Models for Vertical Federated Learning: A Survey. - Bingchen Qian; Yuexiang Xie; Yaliang Li; Bolin Ding; Jingren Zhou 001 (ACM Comput. Surv., 2025)

A radial basis function neural network approach for solving a diffusion partial differential equation efficiently. - Tao Liu 055; Bolin Ding (Appl. Math. Comput., 2026)