Bolin Ding - RankMe

338 papers A* 78A 13B 10C 1Misc 1Journal 202Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A radial basis function neural network approach for solving a diffusion partial differential equation efficiently. Appl. Math. Comput. Tao Liu, Bolin Ding
2026	J	`jnl`	Accurate Table Question Answering with Accessible LLMs. CoRR Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao
2026	A	`conf`	BridgeScope: A Universal Toolkit for Bridging Large Language Models and Databases. CIDR Lianggui Weng, Dandan Liu, Rong Zhu, Bolin Ding, Jingren Zhou
2026	J	`jnl`	FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization. CoRR Chiyu Ma, Shuo Yang, Kexin Huang, Jinda Lu, Haoming Meng, Shangshang Wang, Bolin Ding, Soroush Vosoughi, Guoyin Wang, Jingren Zhou
2026	—	`conf`	Incentivizing Strong Reasoning from Weak Supervision. EACL (Volume 1: Long Papers) Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu
2026	J	`jnl`	Lamba: A pretrained model for latency prediction over distributed databases. VLDB J. Yingli Zhou, Tianjing Zeng, Rong Zhu, Yingze Li, Junwei Lan, Zhewei Wei, Yixiang Fang, Bolin Ding, Jingren Zhou
2026	J	`jnl`	Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis. CoRR Yunxiang Su, Tianjing Zeng, Zhongjun Ding, Yin Lin, Rong Zhu, Zhewei Wei, Bolin Ding, Jingren Zhou
2026	J	`jnl`	Learned Query Optimizer in Alibaba MaxCompute: Challenges, Analysis, and Solutions. CoRR Lianggui Weng, Dandan Liu, Wenzhuang Zhu, Rong Zhu, Junzheng Zheng, Bolin Ding, Zhiguo Zhang, Jingren Zhou
2026	J	`jnl`	On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation. CoRR Kexin Huang, Haoming Meng, Junkang Wu, Jinda Lu, Chiyu Ma, Ziqian Chen, Xue Wang, Bolin Ding, Jiancan Wu, Xiang Wang, Xiangnan He, Guoyin Wang, Jingren Zhou
2026	J	`jnl`	PC-MoE: memory-efficient and privacy-preserving collaborative training for Mixture-of-Experts LLMs. Mach. Learn. Ze Yu Zhang, Bolin Ding, Bryan Kian Hsiang Low
2026	—	`conf`	Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation. EACL (Volume 1: Long Papers) Ze Yu Zhang, Zitao Li, Yaliang Li, Bolin Ding, Bryan Kian Hsiang Low
2026	J	`jnl`	Retrieval Heads are Dynamic. CoRR Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang
2026	J	`jnl`	Risk quantification using Rayleigh-Tail modeling framework: a theoretical study and numerical simulations. Comput. Appl. Math. Tao Liu, Bolin Ding, Fazlollah Soleymani
2026	J	`jnl`	SeeUPO: Sequence-Level Agentic-RL with Convergence Guarantees. CoRR Tianyi Hu, Qingxu Fu, Yanxi Chen, Zhaoyang Liu, Bolin Ding
2026	J	`jnl`	Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs. CoRR Haoming Meng, Kexin Huang, Shaohang Wei, Chiyu Ma, Shuo Yang, Xue Wang, Guoyin Wang, Bolin Ding, Jingren Zhou
2026	J	`jnl`	XiYan-SQL: A Novel Multi-Generator Framework for Text-to-SQL. IEEE Trans. Knowl. Data Eng. Yifu Liu, Yin Zhu, Yingqi Gao, Zhiling Luo, Xiaoxia Li, Xiaorong Shi, Yuntao Hong, Jinyang Gao, Yu Li, Bolin Ding, Jingren Zhou
2025	A*	`conf`	A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. ICDE Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Keqin Zhong, Bingyi Liu, Bolin Ding, Xiaofang Zhou
2025	—	`conf`	Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective. EMNLP (Findings) Pengfei He, Zitao Li, Yue Xing, Yaliang Li, Jiliang Tang, Bolin Ding
2025	J	`jnl`	Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price. Proc. VLDB Endow. Botong Huang, Lianggui Weng, Wei Chen, Zuozhi Wang, Kai Zeng, Chen Li, Yihui Feng, Bolin Ding, Jingren Zhou
2025	A*	`conf`	Agent-Oriented Planning in Multi-Agent Systems. ICLR Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li
2025	J	`jnl`	AgentEvolver: Towards Efficient Self-Evolving Agent System. CoRR Yunpeng Zhai, Shuchang Tao, Cheng Chen, Anni Zou, Ziqian Chen, Qingxu Fu, Shinji Mai, Li Yu, Jiaji Deng, Zouying Cao, Zhaoyang Liu, Bolin Ding, Jingren Zhou
2025	J	`jnl`	AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications. CoRR Dawei Gao, Zitao Li, Yuexiang Xie, Weirui Kuang, Liuyi Yao, Bingchen Qian, Zhijian Ma, Yue Cui, Haohao Luo, Shen Li, Lu Yi, Yi Yu, Shiqi He, Zhiling Luo, Wenmeng Zhou, Zhicheng Zhang, Xuguang He, Ziqian Chen, Weikai Liao, Farruh Isakulovich Kushnazarov, Yaliang Li, Bolin Ding, Jingren Zhou
2025	A*	`conf`	AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization. ICML Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025	J	`jnl`	Auto-Rubric: Learning to Extract Generalizable Criteria for Reward Modeling. CoRR Lipeng Xie, Sen Huang, Zhuo Zhang, Anni Zou, Yunpeng Zhai, Dingchao Ren, Kezun Zhang, Haoyuan Hu, Boyin Liu, Haoran Chen, Zhaoyang Liu, Bolin Ding
2025	J	`jnl`	Automated Profile Inference with Language Model Agents. CoRR Yuntao Du, Zitao Li, Bolin Ding, Yaliang Li, Hanshen Xiao, Jingren Zhou, Ninghui Li
2025	J	`jnl`	BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning. CoRR Qianli Shen, Daoyuan Chen, Yilun Huang, Zhenqing Ling, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Beyond Data Privacy: New Privacy Risks for Large Language Models. CoRR Yuntao Du, Zitao Li, Ninghui Li, Bolin Ding
2025	J	`jnl`	Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory. CoRR Shiqi He, Yue Cui, Xinyu Ma, Yaliang Li, Bolin Ding, Mosharaf Chowdhury
2025	J	`jnl`	BridgeScope: A Universal Toolkit for Bridging Large Language Models and Databases. CoRR Lianggui Weng, Dandan Liu, Rong Zhu, Bolin Ding, Jingren Zhou
2025	J	`jnl`	CuES: A Curiosity-driven and Environment-grounded Synthesis Framework for Agentic RL. CoRR Shinji Mai, Yunpeng Zhai, Ziqian Chen, Cheng Chen, Anni Zou, Shuchang Tao, Zhaoyang Liu, Bolin Ding
2025	J	`jnl`	Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models. CoRR Daoyuan Chen, Yilun Huang, Xuchen Pan, Nana Jiang, Haibin Wang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Yilei Zhang, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou
2025	A*	`conf`	Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development. ICML Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights. Trans. Mach. Learn. Res. Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection. CoRR Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou
2025	J	`jnl`	Enhancing Latent Computation in Transformers with Latent Tokens. CoRR Yuchang Sun, Yanxi Chen, Yaliang Li, Bolin Ding
2025	—	`conf`	Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. ACL (Findings) Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou
2025	J	`jnl`	Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. CoRR Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou
2025	B	`conf`	Exploring Selective Layer Fine-Tuning in Federated Learning. ISIT Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang
2025	J	`jnl`	GRELA: Exploiting graph representation learning in effective approximate query processing. VLDB J. Pengfei Li, Yong Zhang, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Shuxian Hu, Hua Lu
2025	—	`conf`	GenSim: A General Social Simulation Platform with Large Language Model based Agents. NAACL (System Demonstrations) 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	J	`jnl`	Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs. CoRR Fei Wei, Daoyuan Chen, Ce Wang, Yilun Huang, Yushuo Chen, Xuchen Pan, Yaliang Li, Bolin Ding
2025	J	`jnl`	Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends. CoRR Chaorui Yao, Yanxi Chen, Yuchang Sun, Yushuo Chen, Wenhao Zhang, Xuchen Pan, Yaliang Li, Bolin Ding
2025	A*	`conf`	Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. CVPR Qirui Jiao, Daoyuan Chen, Yilun Huang, Bolin Ding, Yaliang Li, Ying Shen
2025	J	`jnl`	Incentivizing Strong Reasoning from Weak Supervision. CoRR Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu
2025	J	`jnl`	KIMAs: A Configurable Knowledge Integrated Multi-Agent System. CoRR Zitao Li, Fei Wei, Yuexiang Xie, Dawei Gao, Weirui Kuang, Zhijian Ma, Bingchen Qian, Yaliang Li, Bolin Ding
2025	—	`conf`	LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. ACL (Findings) Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding
2025	B	`conf`	Language Adaptation of Large Language Models: An Empirical Study on LLaMA2. COLING Shumin Wang, Yuexiang Xie, Bolin Ding, Jinyang Gao, Yanyong Zhang
2025	A	`conf`	Language Models are Explorers for Join Discovery on Data Lakes. SDM Yaohua Wang, Bolin Ding, Rong Zhu, Haibin Wang, Zhijian Ma, Jingren Zhou
2025	J	`jnl`	Large Language Models as Pretrained Data Engineers: Techniques and Opportunities. IEEE Data Eng. Bull. Yin Lin, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Larger or Smaller Reward Margins to Select Preferences for Alignment? CoRR Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	A*	`conf`	Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	A*	`conf`	Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response. ICML Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang
2025	J	`jnl`	Leveraging LLM-based agents for social science research: insights from citation network simulations. CoRR Jiarui Ji, Runlin Lei, Xuchen Pan, Zhewei Wei, Hao Sun, Yankai Lin, Xu Chen, Yongzheng Yang, Yaliang Li, Bolin Ding, Ji-Rong Wen
2025	J	`jnl`	MicroRemed: Benchmarking LLMs in Microservices Remediation. CoRR Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Chiming Duan, Minghua He, Leyi Pan, Zhaoyang Liu, Bolin Ding, Ying Li
2025	J	`jnl`	Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models. CoRR Leyi Pan, Zheyu Fu, Yunpeng Zhai, Shuchang Tao, Sheng Guan, Shiyu Huang, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Felix Henry, Lijie Wen, Aiwei Liu
2025	J	`jnl`	On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting. CoRR Wenhao Zhang, Yuexiang Xie, Yuchang Sun, Yanxi Chen, Guoyin Wang, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model. CoRR Xue Wang, Tian Zhou, Jinyang Gao, Bolin Ding, Jingren Zhou
2025	J	`jnl`	PC-MoE: Memory-Efficient and Privacy-Preserving Collaborative Training for Mixture-of-Experts LLMs. CoRR Ze Yu Zhang, Bolin Ding, Bryan Kian Hsiang Low
2025	A*	`conf`	Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning. CVPR Cheng Chen, Yunpeng Zhai, Yifan Zhao, Jinyang Gao, Bolin Ding, Jia Li
2025	J	`jnl`	Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning. CoRR Cheng Chen, Yunpeng Zhai, Yifan Zhao, Jinyang Gao, Bolin Ding, Jia Li
2025	J	`jnl`	ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions. CoRR Yule Li, Yifeng Lu, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2025	J	`jnl`	RePO: ReLU-based Preference Optimization. CoRR Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	J	`jnl`	Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution. CoRR Zouying Cao, Jiaji Deng, Li Yu, Weikang Zhou, Zhaoyang Liu, Bolin Ding, Hai Zhao
2025	J	`jnl`	Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation. CoRR Ze Yu Zhang, Zitao Li, Yaliang Li, Bolin Ding, Bryan Kian Hsiang Low
2025	B	`conf`	SAMAG: Structure-Aware Multi-Agent Graph Generation with Large Language Models. IEEE Big Data Jingcheng Cen, Jiarui Ji, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2025	J	`jnl`	Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering. CoRR Feijie Wu, Zitao Li, Fei Wei, Yaliang Li, Bolin Ding, Jing Gao
2025	J	`jnl`	Taming the Judge: Deconflicting AI Feedback for Stable Reinforcement Learning. CoRR Boyin Liu, Zhuo Zhang, Sen Huang, Lipeng Xie, Qingxu Fu, Haoran Chen, Li Yu, Tianyi Hu, Zhaoyang Liu, Bolin Ding, Dongbin Zhao
2025	J	`jnl`	The Synergy Between Data and Multi-Modal Large Language Models: A Survey From Co-Development Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
2025	J	`jnl`	ThinkFL: Self-Refining Failure Localization for Microservice Systems via Reinforcement Fine-Tuning. CoRR Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Chiming Duan, Siyu Yu, Jinyang Gao, Bolin Ding, Zhonghai Wu, Ying Li
2025	—	`conf`	ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. ACL (1) Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. CoRR Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	Towards Anthropomorphic Conversational AI Part I: A Practical Framework. CoRR Fei Wei, Yaliang Li, Bolin Ding
2025	A*	`conf`	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. ICLR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025	J	`jnl`	Tree-based Models for Vertical Federated Learning: A Survey. CoRR Bingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Tree-based Models for Vertical Federated Learning: A Survey. ACM Comput. Surv. Bingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. CoRR Xuchen Pan, Yanxi Chen, Yushuo Chen, Yuchang Sun, Daoyuan Chen, Wenhao Zhang, Yuexiang Xie, Yilun Huang, Yilei Zhang, Dawei Gao, Yaliang Li, Bolin Ding, Jingren Zhou
2025	A*	`conf`	Unlocking the Power of Differentially Private Zeroth-order Optimization for Fine-tuning LLMs. USENIX Security Symposium Ergute Bao, Yangfan Jiang, Fei Wei, Xiaokui Xiao, Zitao Li, Yaliang Li, Bolin Ding
2025	A*	`conf`	What is Wrong with Perplexity for Long-context Language Modeling? ICLR Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang
2025	J	`jnl`	XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL. CoRR Yifu Liu, Yin Zhu, Yingqi Gao, Zhiling Luo, Xiaoxia Li, Xiaorong Shi, Yuntao Hong, Jinyang Gao, Yu Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models. CoRR Leyi Pan, Shuchang Tao, Yunpeng Zhai, Zheyu Fu, Liancheng Fang, Minghua He, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Aiwei Liu, Lijie Wen
2024	J	`jnl`	A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou
2024	J	`jnl`	A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models. CoRR Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. CoRR Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
2024	J	`jnl`	AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. Proc. VLDB Endow. Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
2024	J	`jnl`	Agent-Oriented Planning in Multi-Agent Systems. CoRR Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li
2024	J	`jnl`	AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR 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
2024	J	`jnl`	An Auction-based Marketplace for Model Trading in Federated Learning. CoRR Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou
2024	A*	`conf`	Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. ICML Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang
2024	A*	`conf`	CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. ICLR Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
2024	J	`jnl`	Computing the Set of RBF-FD Weights Within the Integrals of a Kernel-Based Function and Its Applications. Axioms Tao Liu, Bolin Ding, Stanford Shateyi
2024	J	`jnl`	Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining. CoRR Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding
2024	J	`jnl`	Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. CoRR Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou
2024	—	`conf`	Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion 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	A	`conf`	Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. SDM Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
2024	J	`jnl`	Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. CoRR Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
2024	J	`jnl`	DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding
2024	—	`conf`	Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2024	J	`jnl`	Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation. CoRR Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding
2024	A*	`conf`	EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. ICML Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. CoRR Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	Eraser: Eliminating Performance Regression on Learned Query Optimizer. Proc. VLDB Endow. Lianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng, Jingren Zhou
2024	A*	`conf`	Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. WWW Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei
2024	J	`jnl`	Exploring Selective Layer Fine-Tuning in Federated Learning. CoRR Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang
2024	A*	`conf`	FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
2024	J	`jnl`	FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
2024	A*	`conf`	Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. ICML Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
2024	A	`conf`	Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. CIKM Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu
2024	A*	`conf`	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	GenSim: A General Social Simulation Platform with Large Language Model based Agents. CoRR 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
2024	J	`jnl`	HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data. CoRR Ting Zhou, Daoyuan Chen, Qirui Jiao, Bolin Ding, Yaliang Li, Ying Shen
2024	A*	`conf`	Improving LoRA in Privacy-preserving Federated Learning. ICLR Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
2024	J	`jnl`	Improving LoRA in Privacy-preserving Federated Learning. CoRR Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
2024	J	`jnl`	Is Sharing Neighbor Generator in Federated Graph Learning Safe? IEEE Trans. Knowl. Data Eng. Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding
2024	—	`conf`	Learned Query Optimizer: What is New and What is Next. SIGMOD Conference Companion Rong Zhu, Lianggui Weng, Bolin Ding, Jingren Zhou
2024	J	`jnl`	Learned Query Optimizers. Found. Trends Databases Bolin Ding, Rong Zhu, Jingren Zhou
2024	J	`jnl`	Learning-based Property Estimation with Polynomials. Proc. ACM Manag. Data Jiajun Li, Runlin Lei, Sibo Wang, Zhewei Wei, Bolin Ding
2024	J	`jnl`	Lero: applying learning-to-rank in query optimizer. VLDB J. Xingguang Chen, Rong Zhu, Bolin Ding, Sibo Wang, Jingren Zhou
2024	J	`jnl`	Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning. CoRR Pengfei He, Zitao Li, Yue Xing, Yaling Li, Jiliang Tang, Bolin Ding
2024	A*	`conf`	Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. KDD Daoyuan Chen, Yaliang Li, Bolin Ding
2024	J	`jnl`	On the Design and Analysis of LLM-Based Algorithms. CoRR Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. CoRR Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou
2024	J	`jnl`	PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. Proc. VLDB Endow. Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou
2024	J	`jnl`	Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou
2024	J	`jnl`	PilotScope: Steering Databases with Machine Learning Drivers. Proc. VLDB Endow. Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou
2024	A	`conf`	SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CIDR Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou
2024	A*	`conf`	SoK: Privacy-Preserving Data Synthesis. SP Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song
2024	J	`jnl`	Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. Proc. VLDB Endow. Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou
2024	J	`jnl`	The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. CoRR Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
2024	J	`jnl`	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	J	`jnl`	Understanding Byzantine Robustness in Federated Learning with A Black-box Server. CoRR Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
2024	—	`conf`	UniDM: A Unified Framework for Data Manipulation with Large Language Models. MLSys Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou
2024	J	`jnl`	UniDM: A Unified Framework for Data Manipulation with Large Language Models. CoRR Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou
2024	A*	`conf`	VertiMRF: Differentially Private Vertical Federated Data Synthesis. KDD Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
2024	J	`jnl`	VertiMRF: Differentially Private Vertical Federated Data Synthesis. CoRR Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
2024	J	`jnl`	Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou
2024	J	`jnl`	What is Wrong with Perplexity for Long-context Language Modeling? CoRR Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang
2024	J	`jnl`	When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. IEEE Trans. Knowl. Data Eng. Weirui Kuang, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2024	—	`conf`	When to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
2024	J	`jnl`	When to Trust LLMs: Aligning Confidence with Response Quality. CoRR Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
2024	J	`jnl`	α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. CoRR Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	A*	`conf`	β-DPO: Direct Preference Optimization with Dynamic β. NeurIPS Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	J	`jnl`	β-DPO: Direct Preference Optimization with Dynamic β. CoRR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2023	J	`jnl`	ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads (Extended). CoRR Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu
2023	J	`jnl`	ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads. Proc. VLDB Endow. Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu
2023	J	`jnl`	BASE: Bridging the Gap between Cost and Latency for Query Optimization. Proc. VLDB Endow. Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng
2023	A*	`conf`	Competitive Information Design for Pandora's Box. SODA Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang, Haifeng Xu
2023	J	`jnl`	DILI: A Distribution-Driven Learned Index. CoRR Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan
2023	J	`jnl`	DILI: A Distribution-Driven Learned Index. Proc. VLDB Endow. Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan
2023	J	`jnl`	Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR 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
2023	J	`jnl`	Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2023	J	`jnl`	EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. CoRR Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation. IEEE Trans. Knowl. Data Eng. Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen
2023	A*	`conf`	Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
2023	J	`jnl`	Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
2023	C	`conf`	Efficient Private Multiset ID Protocols. ICICS Cong Zhang, Weiran Liu, Bolin Ding, Dongdai Lin
2023	J	`jnl`	Efficient Private Multiset ID Protocols. IACR Cryptol. ePrint Arch. Cong Zhang, Weiran Liu, Bolin Ding, Dongdai Lin
2023	A*	`conf`	FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
2023	A*	`conf`	FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
2023	J	`jnl`	Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. CoRR Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
2023	J	`jnl`	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. IEEE Trans. Knowl. Data Eng. Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
2023	A*	`conf`	Learned Index with Dynamic $\epsilon$. ICLR Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou
2023	J	`jnl`	Lero: A Learning-to-Rank Query Optimizer. CoRR Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou
2023	J	`jnl`	Lero: A Learning-to-Rank Query Optimizer. Proc. VLDB Endow. Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou
2023	J	`jnl`	Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Yang Deng, Yaliang Li, Bolin Ding, Wai Lam
2023	J	`jnl`	Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. CoRR Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
2023	A*	`conf`	Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao
2023	A*	`conf`	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2023	J	`jnl`	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2023	J	`jnl`	SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CoRR Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou
2023	J	`jnl`	SoK: Privacy-Preserving Data Synthesis. CoRR Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song
2023	J	`jnl`	Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. ACM Trans. Inf. Syst. Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding
2023	J	`jnl`	Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. CoRR Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou
2023	—	`conf`	Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2023	J	`jnl`	Tunable Soft Prompts are Messengers in Federated Learning. CoRR Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2022	J	`jnl`	A Benchmark for Federated Hetero-Task Learning. CoRR Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
2022	A*	`conf`	A Practical Introduction to Federated Learning. KDD Yaliang Li, Bolin Ding, Jingren Zhou
2022	A*	`conf`	Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. SIGIR Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen
2022	J	`jnl`	Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. CoRR Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2022	A*	`conf`	Contrastive Learning for Sequential Recommendation. ICDE Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui
2022	A*	`conf`	Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract). ICDE Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen
2022	A*	`conf`	EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. NeurIPS Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
2022	J	`jnl`	EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. CoRR Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
2022	A*	`conf`	Explainable Neural Rule Learning. WWW Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang
2022	J	`jnl`	FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization. CoRR Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
2022	A*	`conf`	FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
2022	J	`jnl`	FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. CoRR Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
2022	J	`jnl`	FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2022	A*	`conf`	Finding Meta Winning Ticket to Train Your MAML. KDD Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding
2022	A*	`conf`	Graph Neural Networks with Node-wise Architecture. KDD Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding
2022	—	`conf`	ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
2022	J	`jnl`	ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CoRR Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
2022	J	`jnl`	Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen
2022	A*	`conf`	KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han
2022	B	`conf`	Learned Query Optimizer: At the Forefront of AI-Driven Databases. EDBT Rong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li, Jingren Zhou
2022	J	`jnl`	Learning to be a Statistician: Learned Estimator for Number of Distinct Values. CoRR Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
2022	A	`conf`	MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. CIKM Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu
2022	—	`conf`	One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees. SIGMOD Conference Jinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng, Jingren Zhou
2022	J	`jnl`	Proactively Control Privacy in Recommender Systems. CoRR Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding
2022	A*	`conf`	Recommendation Unlearning. WWW Chong Chen, Fei Sun, Min Zhang, Bolin Ding
2022	J	`jnl`	Recommendation Unlearning. CoRR Chong Chen, Fei Sun, Min Zhang, Bolin Ding
2022	A*	`conf`	Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. KDD Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou
2022	J	`jnl`	Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. CoRR Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou
2022	A*	`conf`	Strengthening Order Preserving Encryption with Differential Privacy. CCS Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou
2022	J	`jnl`	Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. ACM Trans. Inf. Syst. Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam
2022	A*	`conf`	Towards Universal Sequence Representation Learning for Recommender Systems. KDD Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2022	J	`jnl`	Towards Universal Sequence Representation Learning for Recommender Systems. CoRR Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2022	A*	`conf`	VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NeurIPS Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang
2022	A*	`conf`	iFlood: A Stable and Effective Regularizer. ICLR Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
2022	A*	`conf`	pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. NeurIPS Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
2022	J	`jnl`	pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. CoRR Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
2021	J	`jnl`	A Pluggable Learned Index Method via Sampling and Gap Insertion. CoRR Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou
2021	A*	`conf`	AutoML: A Perspective where Industry Meets Academy. KDD Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang
2021	A	`conf`	AutoML: From Methodology to Application. CIKM Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang
2021	J	`jnl`	Baihe: SysML Framework for AI-driven Databases. CoRR Andreas Pfadler, Rong Zhu, Wei Chen, Botong Huang, Tianjing Zeng, Bolin Ding, Jingren Zhou
2021	J	`jnl`	CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy. Proc. VLDB Endow. Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding
2021	J	`jnl`	Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration. Proc. VLDB Endow. Jiaxiang Liu, Karl Knopf, Yiqing Tan, Bolin Ding, Xi He
2021	A	`conf`	CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. CIKM Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding
2021	J	`jnl`	CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation. CoRR Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding
2021	J	`jnl`	Competitive Information Disclosure with Multiple Receivers. CoRR Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang
2021	A*	`conf`	Debiasing Learning based Cross-domain Recommendation. KDD Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen
2021	A*	`conf`	Efficient Reductions and a Fast Algorithm of Maximum Weighted Independent Set. WWW Mingyu Xiao, Sen Huang, Yi Zhou, Bolin Ding
2021	A*	`conf`	FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
2021	—	`conf`	Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. EMNLP (Findings) Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding
2021	J	`jnl`	Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. CoRR Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding
2021	J	`jnl`	Federated Matrix Factorization with Privacy Guarantee. Proc. VLDB Endow. Zitao Li, Bolin Ding, Ce Zhang, Ninghui Li, Jingren Zhou
2021	J	`jnl`	FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. CoRR Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu
2021	J	`jnl`	FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. Proc. VLDB Endow. Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu
2021	J	`jnl`	Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query Size. CoRR Rong Zhu, Tianjing Zeng, Andreas Pfadler, Wei Chen, Bolin Ding, Jingren Zhou
2021	J	`jnl`	Learning to be a Statistician: Learned Estimator for Number of Distinct Values. Proc. VLDB Endow. Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
2021	J	`jnl`	Synthetic Data Generation with Differential Privacy via Bayesian Networks. J. Priv. Confidentiality Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding
2021	J	`jnl`	Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling. CoRR Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam
2021	J	`jnl`	Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. Yongxin Tong, Yuxiang Zeng, Bolin Ding, Libin Wang, Lei Chen
2021	A*	`conf`	Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. SIGIR Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam
2021	J	`jnl`	Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. CoRR Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam
2021	J	`jnl`	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
2021	J	`jnl`	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
2020	A*	`conf`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	J	`jnl`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	A	`conf`	An Adaptive Embedding Framework for Heterogeneous Information Networks. CIKM Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen
2020	A*	`conf`	Automated Relational Meta-learning. ICLR Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
2020	J	`jnl`	Automated Relational Meta-learning. CoRR Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
2020	J	`jnl`	Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy. Proc. VLDB Endow. Min Xu, Bolin Ding, Tianhao Wang, Jingren Zhou
2020	J	`jnl`	Contrastive Pre-training for Sequential Recommendation. CoRR Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui
2020	J	`jnl`	Improving Utility and Security of the Shuffler-based Differential Privacy. Proc. VLDB Endow. Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha
2020	A*	`conf`	Intent Preference Decoupling for User Representation on Online Recommender System. IJCAI Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen
2020	J	`jnl`	Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
2020	J	`jnl`	Intertwining Order Preserving Encryption and Differential Privacy. CoRR Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou
2020	A*	`conf`	Learning to Mutate with Hypergradient Guided Population. NeurIPS Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu
2020	B	`conf`	Linear and Range Counting under Metric-based Local Differential Privacy. ISIT Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou
2020	A*	`conf`	Practical Data Poisoning Attack against Next-Item Recommendation. WWW Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
2020	J	`jnl`	Practical Data Poisoning Attack against Next-Item Recommendation. CoRR Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
2020	A*	`conf`	Scalable Graph Neural Networks via Bidirectional Propagation. NeurIPS Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2020	J	`jnl`	Scalable Graph Neural Networks via Bidirectional Propagation. CoRR Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2020	A*	`conf`	Sequential Recommendation with Self-Attentive Multi-Adversarial Network. SIGIR Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
2020	J	`jnl`	Sequential Recommendation with Self-Attentive Multi-Adversarial Network. CoRR Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
2020	A*	`conf`	Simple and Deep Graph Convolutional Networks. ICML Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
2020	J	`jnl`	Simple and Deep Graph Convolutional Networks. CoRR Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
2020	A	`conf`	Towards Differentially Private Truth Discovery for Crowd Sensing Systems. ICDCS Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding
2020	J	`jnl`	π-Hub: Large-scale video learning, storage, and retrieval on heterogeneous hardware platforms. Future Gener. Comput. Syst. Jie Tang, Shaoshan Liu, Jie Cao, Dawei Sun, Bolin Ding, Jean-Luc Gaudiot, Weisong Shi
2019	A*	`conf`	An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors. NeurIPS Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin
2019	—	`conf`	Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. SIGMOD Conference Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha
2019	—	`conf`	Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. SysML Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang
2019	J	`jnl`	Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. CoRR Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang
2019	J	`jnl`	DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy. Proc. VLDB Endow. Min Xu, Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang
2019	J	`jnl`	Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs. CoRR Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou
2019	A*	`conf`	Efficient Identification of Approximate Best Configuration of Training in Large Datasets. AAAI Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
2019	J	`jnl`	Practical and Robust Privacy Amplification with Multi-Party Differential Privacy. CoRR Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha
2018	J	`jnl`	An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors. CoRR Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin
2018	A*	`conf`	An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery. KDD Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren
2018	—	`conf`	Columnstore and B+ tree - Are Hybrid Physical Designs Important? SIGMOD Conference Adam Dziedzic, Jingjing Wang, Sudipto Das, Bolin Ding, Vivek R. Narasayya, Manoj Syamala
2018	A*	`conf`	Comparing Population Means Under Local Differential Privacy: With Significance and Power. AAAI Bolin Ding, Harsha Nori, Paul Li, Joshua Allen
2018	J	`jnl`	Comparing Population Means under Local Differential Privacy: with Significance and Power. CoRR Bolin Ding, Harsha Nori, Paul Li, Joshua Allen
2018	J	`jnl`	Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches. Proc. VLDB Endow. Azade Nazi, Bolin Ding, Vivek R. Narasayya, Surajit Chaudhuri
2018	J	`jnl`	Efficient Identification of Approximate Best Configuration of Training in Large Datasets. CoRR Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
2018	—	`ch.`	Stream Mining. Encyclopedia of Database Systems (2nd ed.) Jiawei Han, Bolin Ding
2018	J	`jnl`	Towards Differentially Private Truth Discovery for Crowd Sensing Systems. CoRR Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding
2017	—	`conf`	Approximate Query Processing: No Silver Bullet. SIGMOD Conference Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
2017	—	`conf`	Collecting Telemetry Data Privately. NIPS Bolin Ding, Janardhan Kulkarni, Sergey Yekhanin
2017	J	`jnl`	Collecting Telemetry Data Privately. CoRR Bolin Ding, Janardhan Kulkarni, Sergey Yekhanin
2017	J	`jnl`	Flexible Online Task Assignment in Real-Time Spatial Data. Proc. VLDB Endow. Yongxin Tong, Libin Wang, Zimu Zhou, Bolin Ding, Lei Chen, Jieping Ye, Ke Xu
2017	J	`jnl`	Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm. CoRR Shaoshan Liu, Bolin Ding, Jie Tang, Dawei Sun, Zhe Zhang, Grace Tsai, Jean-Luc Gaudiot
2017	A*	`conf`	Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data. CHI Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang
2016	A	`conf`	Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems. ICDCS Haiming Jin, Lu Su, Bolin Ding, Klara Nahrstedt, Nikita Borisov
2016	J	`jnl`	Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis. Proc. VLDB Endow. Yongxin Tong, Jieying She, Bolin Ding, Lei Chen, Tianyu Wo, Ke Xu
2016	A*	`conf`	Online mobile Micro-Task Allocation in spatial crowdsourcing. ICDE Yongxin Tong, Jieying She, Bolin Ding, Libin Wang, Lei Chen
2016	—	`conf`	Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics. SIGMOD Conference 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
2016	—	`conf`	Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters. SIGMOD Conference Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding
2016	—	`conf`	Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee. SIGMOD Conference Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
2015	J	`jnl`	Design of Policy-Aware Differentially Private Algorithms. Proc. VLDB Endow. Samuel Haney, Ashwin Machanavajjhala, Bolin Ding
2015	—	`conf`	S4: Top-k Spreadsheet-Style Search for Query Discovery. SIGMOD Conference Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
2014	J	`jnl`	Answering Query Workloads with Optimal Error under Blowfish Privacy. CoRR Samuel Haney, Ashwin Machanavajjhala, Bolin Ding
2014	—	`conf`	Blowfish privacy: tuning privacy-utility trade-offs using policies. SIGMOD Conference Xi He, Ashwin Machanavajjhala, Bolin Ding
2014	—	`conf`	Discovering queries based on example tuples. SIGMOD Conference Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik
2014	J	`jnl`	Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers. CoRR Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
2014	J	`jnl`	Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers. Proc. VLDB Endow. Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
2014	A*	`conf`	Scalable near real-time failure localization of data center networks. KDD Herodotos Herodotou, Bolin Ding, Shobana Balakrishnan, Geoff Outhred, Percy Fitter
2013	J	`jnl`	Attraction and Avoidance Detection from Movements. Proc. VLDB Endow. Zhenhui Li, Bolin Ding, Fei Wu, Tobias Kin Hou Lei, Roland Kays, Margaret Crofoot
2013	J	`jnl`	Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies. CoRR Xi He, Ashwin Machanavajjhala, Bolin Ding
2013	A*	`conf`	EventCube: multi-dimensional search and mining of structured and text data. KDD 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	J	`jnl`	A Statistical Approach Towards Robust Progress Estimation CoRR Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya
2012	A*	`conf`	Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data. ICDE Yongxin Tong, Lei Chen, Bolin Ding
2012	J	`jnl`	Mining periodic behaviors of object movements for animal and biological sustainability studies. Data Min. Knowl. Discov. Zhenhui Li, Jiawei Han, Bolin Ding, Roland Kays
2012	—	`conf`	Optimizing index for taxonomy keyword search. SIGMOD Conference Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang
2012	—	`—`	Privacy-preserving data publishing and analytics using data cubes Bolin Ding
2011	J	`jnl`	A Statistical Approach Towards Robust Progress Estimation. Proc. VLDB Endow. Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya
2011	A*	`conf`	Bidirectional mining of non-redundant recurrent rules from a sequence database. ICDE David Lo, Bolin Ding, Lucia, Jiawei Han
2011	—	`conf`	Differentially private data cubes: optimizing noise sources and consistency. SIGMOD Conference Bolin Ding, Marianne Winslett, Jiawei Han, Zhenhui Li
2011	J	`jnl`	Distance-Constraint Reachability Computation in Uncertain Graphs. Proc. VLDB Endow. Ruoming Jin, Lin Liu, Bolin Ding, Haixun Wang
2011	J	`jnl`	Efficient Keyword-Based Search for Top-K Cells in Text Cube. IEEE Trans. Knowl. Data Eng. Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, ChengXiang Zhai, Ashok N. Srivastava, Nikunj C. Oza
2011	J	`jnl`	Fast Set Intersection in Memory CoRR Bolin Ding, Arnd Christian König
2011	J	`jnl`	Fast Set Intersection in Memory. Proc. VLDB Endow. Bolin Ding, Arnd Christian König
2011	Misc	`conf`	Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks. SenSys Lu Su, Jing Gao, Yong Yang, Tarek F. Abdelzaher, Bolin Ding, Jiawei Han
2011	B	`conf`	Mining Significant Time Intervals for Relationship Detection. SSTD Zhenhui Li, Cindy Xide Lin, Bolin Ding, Jiawei Han
2011	J	`jnl`	MoveMine: Mining moving object data for discovery of animal movement patterns. ACM Trans. Intell. Syst. Technol. Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, Roland Kays
2011	A	`conf`	TEXplorer: keyword-based object search and exploration in multidimensional text databases. CIKM Bo Zhao, Cindy Xide Lin, Bolin Ding, Jiawei Han
2010	—	`conf`	Keyword Search in Text Cube: Finding Top-k Aggregated Cell Documents. CIDU Bolin Ding, Yintao Yu, Bo Zhao, Cindy Xide Lin, Jiawei Han, ChengXiang Zhai
2010	A*	`conf`	Mining periodic behaviors for moving objects. KDD Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, Peter Nye
2010	J	`jnl`	Swarm: Mining Relaxed Temporal Moving Object Clusters. Proc. VLDB Endow. Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays
2010	A*	`conf`	TopCells: Keyword-based search of top-k aggregated documents in text cube. ICDE Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, ChengXiang Zhai
2010	A	`conf`	Visual cube and on-line analytical processing of images. CIKM Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bolin Ding, Cindy Xide Lin
2009	A*	`conf`	Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database. ICDE Bolin Ding, David Lo, Jiawei Han, Siau-Cheng Khoo
2009	J	`jnl`	Making filters smart in distributed data stream environments. Inf. Sci. Cheqing Jin, Bolin Ding, Jeffrey Xu Yu
2009	J	`jnl`	Query translation from XPath to SQL in the presence of recursive DTDs. VLDB J. Wenfei Fan, Jeffrey Xu Yu, Jianzhong Li, Bolin Ding, Lu Qin
2009	—	`ch.`	Stream Mining. Encyclopedia of Database Systems Jiawei Han, Bolin Ding
2009	B	`conf`	oCast: Optimal Multicast Routing Protocol for Wireless Sensor Networks. ICNP Lu Su, Bolin Ding, Yong Yang, Tarek F. Abdelzaher, Guohong Cao, Jennifer C. Hou
2008	J	`jnl`	Classifying Data Streams with Skewed Class Distributions and Concept Drifts. IEEE Internet Comput. Jing Gao, Bolin Ding, Wei Fan, Jiawei Han, Philip S. Yu
2008	A*	`conf`	Fast Graph Pattern Matching. ICDE Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S. Yu, Haixun Wang
2008	B	`conf`	Finding time-dependent shortest paths over large graphs. EDBT Bolin Ding, Jeffrey Xu Yu, Lu Qin
2008	B	`conf`	Monitoring Aggregate k-NN Objects in Road Networks. SSDBM Lu Qin, Jeffrey Xu Yu, Bolin Ding, Yoshiharu Ishikawa
2008	A*	`conf`	Stream Sequential Pattern Mining with Precise Error Bounds. ICDM Luiz F. Mendes, Bolin Ding, Jiawei Han
2008	A*	`conf`	Text Cube: Computing IR Measures for Multidimensional Text Database Analysis. ICDM Cindy Xide Lin, Bolin Ding, Jiawei Han, Feida Zhu, Bo Zhao
2007	B	`conf`	Cost-Based Query Optimization for Multi Reachability Joins. DASFAA Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding
2007	A*	`conf`	Finding Top-k Min-Cost Connected Trees in Databases. ICDE Bolin Ding, Jeffrey Xu Yu, Shan Wang, Lu Qin, Xiao Zhang, Xuemin Lin
2006	A*	`conf`	NUITS: A Novel User Interface for Efficient Keyword Search over Databases. VLDB Shan Wang, Zhaohui Peng, Jun Zhang, Lu Qin, Sheng Wang, Jeffrey Xu Yu, Bolin Ding