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Viewing Publication 1 - 100 from 177

2026

A radial basis function neural network approach for solving a diffusion partial differential equation efficientlyTao Liu, Bolin Ding. amc, 509:129651, 2026. [doi]

2025

Enhancing Tool Learning in Large Language Models with Hierarchical Error ChecklistsYue Cui 0001, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou 0001. acl 2025: 16357-16375 [doi]

GRELA: Exploiting graph representation learning in effective approximate query processingPengfei Li 0005, Yong Zhang, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou 0001, Shuxian Hu, Hua Lu 0001. vldb, 34(3):35, May 2025. [doi]

Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context LearningCheng Chen, Yunpeng Zhai, Yifan Zhao, Jinyang Gao, Bolin Ding, Jia Li. cvpr 2025: 3826-3835 [doi]

ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language ModelsHanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng. acl 2025: 17876-17891 [doi]

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 0001. iclr 2025: [doi]

Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource PriceBotong Huang, Lianggui Weng, Wei Chen 0133, Zuozhi Wang, Kai Zeng 0002, Chen Li, Yihui Feng, Bolin Ding, Jingren Zhou 0001. pvldb, 18(6):1852-1864, February 2025. [doi]

LLM-Based Multi-Agent Systems are Scalable Graph Generative ModelsJiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen 0017, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding. acl 2025: 1492-1523 [doi]

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language ModelsQirui Jiao, Daoyuan Chen, Yilun Huang 0004, Bolin Ding, Yaliang Li, Ying Shen 0001. cvpr 2025: 9296-9307 [doi]

Agent-Oriented Planning in Multi-Agent SystemsAo Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li. iclr 2025: [doi]

Large Language Models as Pretrained Data Engineers: Techniques and OpportunitiesYin Lin, Bolin Ding, Jingren Zhou 0001. DEBU, 49(1):70-89, 2025. [doi]

Tree-based Models for Vertical Federated Learning: A SurveyBingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou 0001. ACM Comput. Surv., 57(9), September 2025. [doi]

Language Adaptation of Large Language Models: An Empirical Study on LLaMA2Shumin Wang, Yuexiang Xie, Bolin Ding, Jinyang Gao, Yanyong Zhang. COLING 2025: 7195-7208 [doi]

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference OptimizationJunkang Wu, Yuexiang Xie, Zhengyi Yang 0007, Jiancan Wu, Jiawei Chen 0007, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He 0001. iclr 2025: [doi]

2024

Multi-modal Data Processing for Foundation Models: Practical Guidances and Use CasesDaoyuan Chen, Yaliang Li, Bolin Ding. kdd 2024: 6414-6415 [doi]

Data-Juicer: A One-Stop Data Processing System for Large Language ModelsDaoyuan Chen, Yilun Huang 0004, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou. SIGMOD 2024: 120-134 [doi]

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D ParallelismYanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou. icml 2024: [doi]

Lero: applying learning-to-rank in query optimizerXingguang Chen, Rong Zhu, Bolin Ding, Sibo Wang 0001, Jingren Zhou. vldb, 33(5):1307-1331, September 2024. [doi]

Learned Query OptimizersBolin Ding, Rong Zhu, Jingren Zhou. FTDB, 13(4):250-310, 2024. [doi]

Federated Heterogeneous Contrastive Distillation for Molecular Representation LearningJinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu. CIKM 2024: 1038-1048 [doi]

Text-to-SQL Empowered by Large Language Models: A Benchmark EvaluationDawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou. pvldb, 17(5):1132-1145, January 2024. [doi]

SoK: Privacy-Preserving Data SynthesisYuzheng Hu, Fan Wu 0011, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge 0002, Bolin Ding, David A. Forsyth, Bo Li 0026, Dawn Song. sp 2024: 4696-4713 [doi]

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction GamesKexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang 0010. icml 2024: [doi]

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated LearningWeirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou. kdd 2024: 5260-5271 [doi]

When Transformer Meets Large Graphs: An Expressive and Efficient Two-View ArchitectureWeirui Kuang, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding. tkde, 36(10):5440-5452, October 2024. [doi]

Performance-Based Pricing of Federated Learning via AuctionZitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou. pvldb, 17(6):1269-1282, February 2024. [doi]

Learning-based Property Estimation with PolynomialsJiajun Li, Runlin Lei, Sibo Wang 0001, Zhewei Wei, Bolin Ding. pacmmod, 2(3):148, 2024. [doi]

SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model InteractionsYin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou. cidr 2024: [doi]

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical StudyPeiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen. COLING 2024: 5174-5190 [doi]

UniDM: A Unified Framework for Data Manipulation with Large Language ModelsYichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou. mlsys 2024: [doi]

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 KilobytesZhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, ShuiGuang Deng. icml 2024: [doi]

Improving LoRA in Privacy-preserving Federated LearningYoubang Sun, Zitao Li, Yaliang Li, Bolin Ding. iclr 2024: [doi]

When to Trust LLMs: Aligning Confidence with Response QualityShuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun 0001, Jinyang Gao, Huawei Shen, Bolin Ding. acl 2014: 5984-5996 [doi]

CARD: Channel Aligned Robust Blend Transformer for Time Series ForecastingXue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin 0001. iclr 2024: [doi]

Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale GraphsZhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei. WWW 2024: 780-791 [doi]

AAA: an Adaptive Mechanism for Locally Differential Private Mean EstimationFei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang 0001, Bolin Ding. pvldb, 17(8):1843-1855, April 2024. [doi]

Eraser: Eliminating Performance Regression on Learned Query OptimizerLianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng, Jingren Zhou. pvldb, 17(5):926-938, January 2024. [doi]

FedBiOT: LLM Local Fine-tuning in Federated Learning without Full ModelFeijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao 0004. kdd 2024: 3345-3355 [doi]

β-DPO: Direct Preference Optimization with Dynamic βJunkang Wu, Yuexiang Xie, Zhengyi Yang 0007, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He 0001. nips 2024: [doi]

Is Sharing Neighbor Generator in Federated Graph Learning Safe?Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding. tkde, 36(12):8568-8579, December 2024. [doi]

PRICE: A Pretrained Model for Cross-Database Cardinality EstimationTianjing Zeng, Junwei Lan, JiaHong Ma, Wenqing Wei, Rong Zhu, Pengfei Li 0005, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou 0001. pvldb, 18(3):637-650, November 2024. [doi]

Deep Efficient Private Neighbor Generation for Subgraph Federated LearningKe Zhang, Lichao Sun 0001, Bolin Ding, Siu-Ming Yiu, Carl Yang 0001. sdm 2024: 806-814 [doi]

VertiMRF: Differentially Private Vertical Federated Data SynthesisFangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li. kdd 2024: 4431-4442 [doi]

Learned Query Optimizer: What is New and What is NextRong Zhu, Lianggui Weng, Bolin Ding, Jingren Zhou. SIGMOD 2024: 561-569 [doi]

PilotScope: Steering Databases with Machine Learning DriversRong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou. pvldb, 17(5):980-993, January 2024. [doi]

2023

Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement LearningYang Deng 0002, Yaliang Li, Bolin Ding, Wai Lam. tkde, 35(11):11541-11555, November 2023. [doi]

DILI: A Distribution-Driven Learned IndexPengfei Li 0005, Hua Lu 0001, Rong Zhu, Bolin Ding, Long Yang, Gang Pan 0001. pvldb, 16(9):2212-2224, 2023. [doi]

BASE: Bridging the Gap between Cost and Latency for Query OptimizationXu Chen 0023, Zhen Wang, Shuncheng Liu 0001, Yaliang Li, Kai Zeng 0002, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng 0001. pvldb, 16(8):1958-1966, 2023. [doi]

Learned Index with Dynamic $\epsilon$Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng 0002, Defu Lian, Jingren Zhou. iclr 2023: [doi]

Efficient Personalized Federated Learning via Sparse Model-AdaptationDaoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li. icml 2023: 5234-5256 [doi]

FS-REAL: Towards Real-World Cross-Device Federated LearningDaoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou. kdd 2023: 3829-3841 [doi]

Studying the Impact of Data Disclosure Mechanism in Recommender Systems via SimulationZiqian Chen, Fei Sun 0001, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding. tois, 41(3), 2023. [doi]

Competitive Information Design for Pandora's BoxBolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang, Haifeng Xu. soda 2023: 353-381 [doi]

Tunable Soft Prompts are Messengers in Federated LearningChenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li. emnlp 2023: 14665-14675 [doi]

FS-Real: A Real-World Cross-Device Federated Learning PlatformDawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou. pvldb, 16(12):4046-4049, 2023. [doi]

ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic WorkloadsPengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu 0001. pvldb, 17(2):197-210, 2023. [doi]

Revisiting Personalized Federated Learning: Robustness Against Backdoor AttacksZeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng. kdd 2023: 4743-4755 [doi]

Efficient Approximate Range Aggregation Over Large-Scale Spatial Data FederationYexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen 0002. tkde, 35(1):418-430, 2023. [doi]

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter OptimizationZhen Wang, Weirui Kuang, Ce Zhang 0001, Bolin Ding, Yaliang Li. icml 2023: 35908-35948 [doi]

FederatedScope: A Flexible Federated Learning Platform for HeterogeneityYuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou. pvldb, 16(5):1059-1072, 2023. [doi]

Path-specific Causal Fair Prediction via Auxiliary Graph Structure LearningLiuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao. WWW 2023: 3680-3688 [doi]

LOKI: A Practical Data Poisoning Attack Framework Against Next Item RecommendationsHengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao 0004. tkde, 35(5):5047-5059, May 2023. [doi]

Efficient Private Multiset ID ProtocolsCong Zhang, Weiran Liu, Bolin Ding, Dongdai Lin. icics 2023: 351-369 [doi]

Lero: A Learning-to-Rank Query OptimizerRong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou. pvldb, 16(6):1466-1479, 2023. [doi]

2022

Strengthening Order Preserving Encryption with Differential PrivacyAmrita Roy Chowdhury 0001, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou. ccs 2022: 2519-2533 [doi]

Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference ModelingYang Deng 0002, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam. tois, 40(4), 2022. [doi]

pFL-Bench: A Comprehensive Benchmark for Personalized Federated LearningDaoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding. nips 2022: [doi]

Recommendation UnlearningChong Chen, Fei Sun 0001, Min Zhang, Bolin Ding. WWW 2022: 2768-2777 [doi]

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask RatioJinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu. CIKM 2022: 509-519 [doi]

Finding Meta Winning Ticket to Train Your MAMLDawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding. kdd 2022: 411-420 [doi]

Towards Universal Sequence Representation Learning for Recommender SystemsYupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen. kdd 2022: 585-593 [doi]

VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li 0026, Ce Zhang 0001. nips 2022: [doi]

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural NetworksRunlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei. nips 2022: [doi]

A Practical Introduction to Federated LearningYaliang Li, Bolin Ding, Jingren Zhou. kdd 2022: 4802-4803 [doi]

Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count PredictionSiqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen. tois, 40(1), 2022. [doi]

Sampling-based Estimation of the Number of Distinct Values in Distributed EnvironmentJiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou. kdd 2022: 893-903 [doi]

ID-Agnostic User Behavior Pre-training for Sequential RecommendationShanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding. ccir 2023: 16-27 [doi]

Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual GeneratorShanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen. sigir 2022: 1401-1411 [doi]

One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical GuaranteesJinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng 0002, Jingren Zhou. SIGMOD 2022: 531-544 [doi]

Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract)Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen 0002. icde 2022: 1559-1560 [doi]

Explainable Neural Rule LearningShaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang. WWW 2022: 3031-3041 [doi]

Graph Neural Networks with Node-wise ArchitectureZhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding. kdd 2022: 1949-1958 [doi]

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph LearningZhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou. kdd 2022: 4110-4120 [doi]

Contrastive Learning for Sequential RecommendationXu Xie, Fei Sun 0001, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong zhang, Bolin Ding, Bin Cui 0001. icde 2022: 1259-1273 [doi]

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging ScenariosYiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han 0001. WWW 2022: 1301-1310 [doi]

iFlood: A Stable and Effective RegularizerYuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding. iclr 2022: [doi]

Learned Query Optimizer: At the Forefront of AI-Driven DatabasesRong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li 0001, Jingren Zhou. edbt 2022: 1-4 [doi]

2021

Synthetic Data Generation with Differential Privacy via Bayesian NetworksErgute Bao, Xiaokui Xiao, Jun Zhao 0007, Dongping Zhang, Bolin Ding. jpc, 11(3), 2021. [doi]

CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential PrivacyErgute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding. pvldb, 14(11):2258-2270, 2021. [doi]

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement LearningYang Deng, Yaliang Li, Fei Sun 0001, Bolin Ding, Wai Lam. sigir 2021: 1431-1441 [doi]

Debiasing Learning based Cross-domain RecommendationSiqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen. kdd 2021: 3190-3199 [doi]

Federated Matrix Factorization with Privacy GuaranteeZitao Li, Bolin Ding, Ce Zhang 0001, Ninghui Li, Jingren Zhou. pvldb, 15(4):900-913, 2021. [doi]

AutoML: From Methodology to ApplicationYaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang 0001. CIKM 2021: 4853-4856 [doi]

AutoML: A Perspective where Industry Meets AcademyYaliang Li, Zhen Wang, Bolin Ding, Ce Zhang 0001. kdd 2021: 4048-4049 [doi]

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space DecompositionYang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu 0001, Ce Zhang 0001, Bin Cui 0001. pvldb, 14(11):2167-2176, 2021. [doi]

Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data ExplorationJiaxiang Liu, Karl Knopf, Yiqing Tan, Bolin Ding, Xi He 0001. pvldb, 14(12):2859-2862, 2021. [doi]

Two-Sided Online Micro-Task Assignment in Spatial CrowdsourcingYongxin Tong, Yuxiang Zeng, Bolin Ding, Libin Wang, Lei Chen 0002. tkde, 33(5):2295-2309, 2021. [doi]

Learning to be a Statistician: Learned Estimator for Number of Distinct ValuesRenzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou. pvldb, 15(2):272-284, 2021. [doi]

Factual Consistency Evaluation for Text Summarization via Counterfactual EstimationYuexiang Xie, Fei Sun 0001, Yang Deng 0002, Yaliang Li, Bolin Ding. emnlp 2021: 100-110 [doi]

CausCF: Causal Collaborative Filtering for Recommendation Effect EstimationXu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun 0001, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui 0001, Bolin Ding. CIKM 2021: 4253-4263 [doi]

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