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Toward Personalized Answer Generation in E-Commerce via Multi-perspective...
Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam: Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. ACM Trans. Inf. Syst. 40(4): 87:1-87:28 (2022)
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Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation...
Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen: Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. 40(1): 11:1-11:29 (2022)
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Efficient Private Multiset ID Protocols.
Cong Zhang, Weiran Liu, Bolin Ding, Dongdai Lin: Efficient Private Multiset ID Protocols. IACR Cryptol. ePrint Arch. 2023: 986 (2023)
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Federated Full-Parameter Tuning of Billion-Sized Language Models with...
Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng: Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. CoRR...
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EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language...
Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou: EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. CoRR abs/2312.04916 (2023)
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Tunable Soft Prompts are Messengers in Federated Learning.
Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li: Tunable Soft Prompts are Messengers in Federated Learning. CoRR abs/2311.06805 (2023)
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ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on...
Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu: ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads (Extended). CoRR abs/2310.05349 (2023)
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SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation...
Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou: SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CoRR abs/2309.07856 (2023)
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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: Data-Juicer: A One-Stop Data Processing...
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FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language...
Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou: FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large...
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Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation.
Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou: Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. CoRR abs/2308.15363 (2023)
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Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical...
Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen: Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR...
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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: SoK: Privacy-Preserving Data Synthesis. CoRR abs/2307.02106 (2023)
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Make Transformer Great Again for Time Series Forecasting: Channel Aligned...
Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin: Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. CoRR abs/2305.12095 (2023)
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Efficient Personalized Federated Learning via Sparse Model-Adaptation.
Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li: Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR abs/2305.02776 (2023)
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DILI: A Distribution-Driven Learned Index.
Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan: DILI: A Distribution-Driven Learned Index. CoRR abs/2304.08817 (2023)
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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: FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR abs/2303.13363 (2023)
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Lero: A Learning-to-Rank Query Optimizer.
Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou: Lero: A Learning-to-Rank Query Optimizer. CoRR abs/2302.06873 (2023)
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Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks.
Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng: Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR abs/2302.01677 (2023)
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Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning.
Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao: Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW 2023: 3680-3688
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Competitive Information Design for Pandora's Box.
Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang, Haifeng Xu: Competitive Information Design for Pandora's Box. SODA 2023: 353-381
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Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks.
Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng: Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD 2023: 4743-4755
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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: FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD 2023: 3829-3841
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FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization.
Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li: FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML 2023: 35908-35948
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Efficient Personalized Federated Learning via Sparse Model-Adaptation.
Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li: Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML 2023: 5234-5256
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Learned Index with Dynamic $\epsilon$.
Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou: Learned Index with Dynamic $\epsilon$. ICLR 2023
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Efficient Private Multiset ID Protocols.
Cong Zhang, Weiran Liu, Bolin Ding, Dongdai Lin: Efficient Private Multiset ID Protocols. ICICS 2023: 351-369
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Tunable Soft Prompts are Messengers in Federated Learning.
Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li: Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) 2023: 14665-14675
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Studying the Impact of Data Disclosure Mechanism in Recommender Systems via...
Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding: Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. ACM Trans. Inf. Syst. 41(3): 60:1-60:26...
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Leveraging Long Short-Term User Preference in Conversational Recommendation...
Yang Deng, Yaliang Li, Bolin Ding, Wai Lam: Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(11):...
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LOKI: A Practical Data Poisoning Attack Framework Against Next Item...
Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao: LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. IEEE Trans. Knowl. Data Eng. 35(5): 5047-5059 (2023)
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Efficient Approximate Range Aggregation Over Large-Scale Spatial Data...
Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen: Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation. IEEE Trans. Knowl. Data Eng. 35(1): 418-430...
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ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on...
Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu: ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads. Proc. VLDB Endow. 17(2): 197-210 (2023)
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FS-Real: A Real-World Cross-Device Federated Learning Platform.
Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou: FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. 16(12): 4046-4049...
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DILI: A Distribution-Driven Learned Index.
Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan: DILI: A Distribution-Driven Learned Index. Proc. VLDB Endow. 16(9): 2212-2224 (2023)
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BASE: Bridging the Gap between Cost and Latency for Query Optimization.
Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng: BASE: Bridging the Gap between Cost and Latency for Query Optimization. Proc. VLDB Endow. 16(8):...
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Lero: A Learning-to-Rank Query Optimizer.
Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou: Lero: A Learning-to-Rank Query Optimizer. Proc. VLDB Endow. 16(6): 1466-1479 (2023)
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FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.
Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou: FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB...
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Deep Efficient Private Neighbor Generation for Subgraph Federated Learning.
Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl J. Yang: Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. CoRR abs/2401.04336 (2024)
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An Auction-based Marketplace for Model Trading in Federated Learning.
Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou: An Auction-based Marketplace for Model Trading in Federated Learning. CoRR abs/2402.01802 (2024)
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EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large...
Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou: EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. CoRR abs/2402.00518 (2024)
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DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation.
Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding: DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR abs/2402.06656 (2024)
View ArticleImproving LoRA in Privacy-preserving Federated Learning.
Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding: Improving LoRA in Privacy-preserving Federated Learning. CoRR abs/2403.12313 (2024)
View ArticleA Bargaining-based Approach for Feature Trading in Vertical Federated Learning.
Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou: A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR abs/2402.15247 (2024)
View ArticleAgentScope: A Flexible yet Robust Multi-Agent Platform.
Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou: AgentScope: A Flexible yet...
View ArticleSMARTFEAT: Efficient Feature Construction through Feature-Level Foundation...
Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou: SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CIDR 2024
View ArticlePerformance-Based Pricing of Federated Learning via Auction.
Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou: Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. 17(6): 1269-1282 (2024)
View ArticleText-to-SQL Empowered by Large Language Models: A Benchmark Evaluation.
Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou: Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. Proc. VLDB Endow. 17(5): 1132-1145 (2024)
View ArticlePilotScope: Steering Databases with Machine Learning Drivers.
Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou: PilotScope: Steering Databases with Machine Learning Drivers. Proc. VLDB Endow....
View ArticleEraser: Eliminating Performance Regression on Learned Query Optimizer.
Lianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng, Jingren Zhou: Eraser: Eliminating Performance Regression on Learned Query Optimizer. Proc. VLDB Endow. 17(5): 926-938 (2024)
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