Bolin Ding
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
127
Venues
32
Active years
2006–2026
Best venue rank
A*
Where they publish
- A*KDD19 papers
- A*SIGMOD16 papers
- A*ICDE11 papers
- A*ICML10 papers
- A*ACL9 papers
- A*ICLR8 papers
- ACIKM7 papers
- A*WWW7 papers
- A*EMNLP3 papers
- A*SIGIR3 papers
- ACIDR2 papers
- AEACL2 papers
- BCOLING2 papers
- A*CVPR2 papers
- BISIT2 papers
- ASDM2 papers
- BEDBT2 papers
- AICDCS2 papers
- A*IJCAI2 papers
- A*AAAI2 papers
- A*ICDM2 papers
- BDASFAA2 papers
- ANAACL1 paper
- A*SP1 paper
- CICICS1 paper
- A*SODA1 paper
- A*CCS1 paper
- A*CHI1 paper
- UnrankedSENSYS1 paper
- BICNP1 paper
- BSSDBM1 paper
- A*VLDB1 paper
Papers
127 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution. | Zouying Cao, Jiaji Deng, Li Yu, Weikang Zhou, Zhaoyang Liu, Bolin Ding, Hai Zhao |
| 2026 | ACL | Automated Profile Inference with Language Model Agents. | Yuntao Du, Zitao Li, Bolin Ding, Yaliang Li, Hanshen Xiao, Jingren Zhou, Ninghui Li |
| 2026 | ACL | Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory. | Shiqi He, Yue Cui, Xinyu Ma, Yaliang Li, Bolin Ding, Mosharaf Chowdhury |
| 2026 | ACL | Retrieval Heads are Dynamic. | Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang |
| 2026 | ACL | d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models. | Leyi Pan, Shuchang Tao, Yunpeng Zhai, Zheyu Fu, Liancheng Fang, Minghua He, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Aiwei Liu, Lijie Wen |
| 2026 | CIDR | BridgeScope: A Universal Toolkit for Bridging Large Language Models and Databases. | Lianggui Weng, Dandan Liu, Rong Zhu, Bolin Ding, Jingren Zhou |
| 2026 | EACL | Incentivizing Strong Reasoning from Weak Supervision. | Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu |
| 2026 | EACL | Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation. | Ze Yu Zhang, Zitao Li, Yaliang Li, Bolin Ding, Bryan Kian Hsiang Low |
| 2026 | ICDE | Accurate Table Question Answering with Accessible LLMs. | Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao |
| 2026 | SIGMOD | AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL. | Zhongjun Ding, Yin Lin, Tianjing Zeng, Rong Zhu, Bolin Ding, Jingren Zhou |
| 2026 | SIGMOD | Learned Query Optimizer in Alibaba MaxCompute: Challenges, Analysis, and Solutions. | Lianggui Weng, Dandan Liu, Wenzhuang Zhu, Rong Zhu, Junzheng Zheng, Bolin Ding, Zhiguo Zhang, Jingren Zhou |
| 2025 | ACL | Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. | Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou |
| 2025 | ACL | 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 |
| 2025 | ACL | LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. | Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding |
| 2025 | COLING | Language Adaptation of Large Language Models: An Empirical Study on LLaMA2. | Shumin Wang, Yuexiang Xie, Bolin Ding, Jinyang Gao, Yanyong Zhang |
| 2025 | CVPR | Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning. | Cheng Chen, Yunpeng Zhai, Yifan Zhao, Jinyang Gao, Bolin Ding, Jia Li |
| 2025 | CVPR | Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. | Qirui Jiao, Daoyuan Chen, Yilun Huang, Bolin Ding, Yaliang Li, Ying Shen |
| 2025 | EMNLP | Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective. | Pengfei He, Zitao Li, Yue Xing, Yaliang Li, Jiliang Tang, Bolin Ding |
| 2025 | ICDE | A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. | Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Keqin Zhong, Bingyi Liu, Bolin Ding, Xiaofang Zhou |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Agent-Oriented Planning in Multi-Agent Systems. | Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li |
| 2025 | ICLR | 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 |
| 2025 | ICML | Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development. | Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2025 | ICML | Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response. | Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang |
| 2025 | ICML | Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? | Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang |
| 2025 | ICML | AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization. | Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He |
| 2025 | ISIT | Exploring Selective Layer Fine-Tuning in Federated Learning. | Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang |
| 2025 | NAACL | 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 |
| 2025 | SDM | Language Models are Explorers for Join Discovery on Data Lakes. | Yaohua Wang, Bolin Ding, Rong Zhu, Haibin Wang, Zhijian Ma, Jingren Zhou |
| 2024 | ACL | 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 |
| 2024 | CIDR | SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. | Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou |
| 2024 | CIKM | Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. | Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu |
| 2024 | COLING | 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 |
| 2024 | ICLR | Improving LoRA in Privacy-preserving Federated Learning. | Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding |
| 2024 | ICLR | CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. | Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | KDD | Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. | Daoyuan Chen, Yaliang Li, Bolin Ding |
| 2024 | KDD | 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 |
| 2024 | KDD | FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. | Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao |
| 2024 | KDD | VertiMRF: Differentially Private Vertical Federated Data Synthesis. | Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li |
| 2024 | WWW | 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 |
| 2024 | SIGMOD | 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 |
| 2024 | SIGMOD | Learned Query Optimizer: What is New and What is Next. | Rong Zhu, Lianggui Weng, Bolin Ding, Jingren Zhou |
| 2024 | SP | 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 |
| 2024 | SDM | Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. | Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang |
| 2023 | EMNLP | Tunable Soft Prompts are Messengers in Federated Learning. | Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li |
| 2023 | ICICS | Efficient Private Multiset ID Protocols. | Cong Zhang, Weiran Liu, Bolin Ding, Dongdai Lin |
| 2023 | ICLR | Learned Index with Dynamic $\epsilon$. | Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou |
| 2023 | ICML | Efficient Personalized Federated Learning via Sparse Model-Adaptation. | Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li |
| 2023 | ICML | FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. | Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li |
| 2023 | KDD | 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 |
| 2023 | KDD | Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. | Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng |
| 2023 | WWW | Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. | Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao |
| 2023 | SODA | Competitive Information Design for Pandora's Box. | Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang, Haifeng Xu |
| 2022 | CCS | Strengthening Order Preserving Encryption with Differential Privacy. | Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou |
| 2022 | CIKM | 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 |
| 2022 | EDBT | Learned Query Optimizer: At the Forefront of AI-Driven Databases. | Rong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li, Jingren Zhou |
| 2022 | ICDE | Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract). | Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen |
| 2022 | ICDE | Contrastive Learning for Sequential Recommendation. | Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui |
| 2022 | ICLR | iFlood: A Stable and Effective Regularizer. | Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding |
| 2022 | KDD | Finding Meta Winning Ticket to Train Your MAML. | Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding |
| 2022 | KDD | Towards Universal Sequence Representation Learning for Recommender Systems. | Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen |
| 2022 | KDD | A Practical Introduction to Federated Learning. | Yaliang Li, Bolin Ding, Jingren Zhou |
| 2022 | KDD | Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. | Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou |
| 2022 | KDD | 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 |
| 2022 | KDD | Graph Neural Networks with Node-wise Architecture. | Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding |
| 2022 | WWW | Recommendation Unlearning. | Chong Chen, Fei Sun, Min Zhang, Bolin Ding |
| 2022 | WWW | Explainable Neural Rule Learning. | Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang |
| 2022 | WWW | KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. | Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han |
| 2022 | SIGIR | Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. | Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen |
| 2022 | SIGMOD | 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 |
| 2021 | CIKM | AutoML: From Methodology to Application. | Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang |
| 2021 | CIKM | 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 |
| 2021 | EMNLP | Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. | Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding |
| 2021 | KDD | AutoML: A Perspective where Industry Meets Academy. | Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang |
| 2021 | KDD | Debiasing Learning based Cross-domain Recommendation. | Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen |
| 2021 | KDD | FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. | Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Grel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou |
| 2021 | WWW | Efficient Reductions and a Fast Algorithm of Maximum Weighted Independent Set. | Mingyu Xiao, Sen Huang, Yi Zhou, Bolin Ding |
| 2021 | SIGIR | Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. | Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam |
| 2020 | CIKM | An Adaptive Embedding Framework for Heterogeneous Information Networks. | Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen |
| 2020 | ICDCS | 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 |
| 2020 | ICLR | Automated Relational Meta-learning. | Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li |
| 2020 | ICML | Simple and Deep Graph Convolutional Networks. | Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li |
| 2020 | IJCAI | 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 |
| 2020 | IJCAI | Intent Preference Decoupling for User Representation on Online Recommender System. | Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen |
| 2020 | ISIT | Linear and Range Counting under Metric-based Local Differential Privacy. | Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou |
| 2020 | WWW | Practical Data Poisoning Attack against Next-Item Recommendation. | Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao |
| 2020 | SIGIR | Sequential Recommendation with Self-Attentive Multi-Adversarial Network. | Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen |
| 2019 | AAAI | Efficient Identification of Approximate Best Configuration of Training in Large Datasets. | Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri |
| 2019 | SIGMOD | Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. | Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha |
| 2018 | AAAI | Comparing Population Means Under Local Differential Privacy: With Significance and Power. | Bolin Ding, Harsha Nori, Paul Li, Joshua Allen |
| 2018 | KDD | 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 |
| 2018 | SIGMOD | Columnstore and B+ tree - Are Hybrid Physical Designs Important? | Adam Dziedzic, Jingjing Wang, Sudipto Das, Bolin Ding, Vivek R. Narasayya, Manoj Syamala |
| 2017 | CHI | Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data. | Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang |
| 2017 | SIGMOD | Approximate Query Processing: No Silver Bullet. | Surajit Chaudhuri, Bolin Ding, Srikanth Kandula |
| 2016 | ICDCS | Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems. | Haiming Jin, Lu Su, Bolin Ding, Klara Nahrstedt, Nikita Borisov |
| 2016 | ICDE | Online mobile Micro-Task Allocation in spatial crowdsourcing. | Yongxin Tong, Jieying She, Bolin Ding, Libin Wang, Lei Chen |
| 2016 | SIGMOD | Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee. | Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang |
| 2016 | SIGMOD | Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters. | Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding |
| 2016 | SIGMOD | Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics. | Kukjin Lee, Arnd Christian Knig, 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 |
| 2015 | SIGMOD | S4: Top-k Spreadsheet-Style Search for Query Discovery. | Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri |
| 2014 | KDD | Scalable near real-time failure localization of data center networks. | Herodotos Herodotou, Bolin Ding, Shobana Balakrishnan, Geoff Outhred, Percy Fitter |
| 2014 | SIGMOD | Blowfish privacy: tuning privacy-utility trade-offs using policies. | Xi He, Ashwin Machanavajjhala, Bolin Ding |
| 2014 | SIGMOD | Discovering queries based on example tuples. | Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik |
| 2013 | KDD | 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 |
| 2012 | ICDE | Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data. | Yongxin Tong, Lei Chen, Bolin Ding |
| 2012 | SIGMOD | Optimizing index for taxonomy keyword search. | Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang |
| 2011 | CIKM | TEXplorer: keyword-based object search and exploration in multidimensional text databases. | Bo Zhao, Cindy Xide Lin, Bolin Ding, Jiawei Han |
| 2011 | ICDE | Bidirectional mining of non-redundant recurrent rules from a sequence database. | David Lo, Bolin Ding, Lucia, Jiawei Han |
| 2011 | SIGMOD | Differentially private data cubes: optimizing noise sources and consistency. | Bolin Ding, Marianne Winslett, Jiawei Han, Zhenhui Li |
| 2011 | SENSYS | 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 |
| 2010 | CIKM | Visual cube and on-line analytical processing of images. | Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bolin Ding, Cindy Xide Lin |
| 2010 | ICDE | TopCells: Keyword-based search of top-k aggregated documents in text cube. | Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai |
| 2010 | KDD | Mining periodic behaviors for moving objects. | Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, Peter Nye |
| 2009 | ICDE | Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database. | Bolin Ding, David Lo, Jiawei Han, Siau-Cheng Khoo |
| 2009 | ICNP | oCast: Optimal Multicast Routing Protocol for Wireless Sensor Networks. | Lu Su, Bolin Ding, Yong Yang, Tarek F. Abdelzaher, Guohong Cao, Jennifer C. Hou |
| 2008 | EDBT | Finding time-dependent shortest paths over large graphs. | Bolin Ding, Jeffrey Xu Yu, Lu Qin |
| 2008 | ICDE | Fast Graph Pattern Matching. | Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S. Yu, Haixun Wang |
| 2008 | ICDM | Text Cube: Computing IR Measures for Multidimensional Text Database Analysis. | Cindy Xide Lin, Bolin Ding, Jiawei Han, Feida Zhu, Bo Zhao |
| 2008 | ICDM | Stream Sequential Pattern Mining with Precise Error Bounds. | Luiz F. Mendes, Bolin Ding, Jiawei Han |
| 2008 | SSDBM | Monitoring Aggregate k-NN Objects in Road Networks. | Lu Qin, Jeffrey Xu Yu, Bolin Ding, Yoshiharu Ishikawa |
| 2007 | DASFAA | Cost-Based Query Optimization for Multi Reachability Joins. | Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding |
| 2007 | DASFAA | Untitled record | Lu Qin, Jeffrey Xu Yu, Bolin Ding |
| 2007 | ICDE | Finding Top-k Min-Cost Connected Trees in Databases. | Bolin Ding, Jeffrey Xu Yu, Shan Wang, Lu Qin, Xiao Zhang, Xuemin Lin |
| 2006 | VLDB | 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 |