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Recommendation Unlearning


Jan 25, 2022
Chong Chen, Fei Sun, Min Zhang, Bolin Ding

* To appear in TheWebConf 2022 

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Baihe: SysML Framework for AI-driven Databases


Dec 29, 2021
Andreas Pfadler, Rong Zhu, Wei Chen, Botong Huang, Tianjing Zeng, Bolin Ding, Jingren Zhou


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Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling


Dec 27, 2021
Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam

* Accepted by ACM Transactions on Information Systems (TOIS) 

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Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query Size


Dec 07, 2021
Rong Zhu, Tianjing Zeng, Andreas Pfadler, Wei Chen, Bolin Ding, Jingren Zhou


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Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation


Sep 08, 2021
Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding

* Accepted by EMNLP-21 

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VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition


Jul 20, 2021
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui

* 47th International Conference on Very Large Data Bases, VLDB 2021, PVLDB Volume 14, Issue 11 

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CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation


May 28, 2021
Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding


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Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning


May 20, 2021
Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam

* Accepted by SIGIR 2021 

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FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data


Jan 16, 2021
Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu


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A Pluggable Learned Index Method via Sampling and Gap Insertion


Jan 04, 2021
Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou


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Scalable Graph Neural Networks via Bidirectional Propagation


Oct 29, 2020
Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

* NeurIPS 2020 

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Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph


Jul 29, 2020
Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou


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Simple and Deep Graph Convolutional Networks


Jul 04, 2020
Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li

* ICML 2020 

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Sequential Recommendation with Self-Attentive Multi-Adversarial Network


May 21, 2020
Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen


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AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search


Jan 13, 2020
Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou


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Automated Relational Meta-learning


Jan 03, 2020
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li

* Accepted by ICLR 2020 

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Practical and Robust Privacy Amplification with Multi-Party Differential Privacy


Aug 30, 2019
Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha


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Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment


Mar 01, 2019
Cedric Renggli, Bojan Karlaš, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang


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Efficient Identification of Approximate Best Configuration of Training in Large Datasets


Nov 08, 2018
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri

* Full version of an AAAI 2019 conference paper 

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Towards Differentially Private Truth Discovery for Crowd Sensing Systems


Oct 10, 2018
Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding


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Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm


Apr 18, 2017
Shaoshan Liu, Bolin Ding, Jie Tang, Dawei Sun, Zhe Zhang, Grace Tsai, Jean-Luc Gaudiot

* 6 pages, 7 figures 

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