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ARM-Net: Adaptive Relation Modeling Network for Structured Data


Jul 05, 2021
Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang

* 14 pages, 11 figures, 5 tables, published as a conference paper in ACM SIGMOD 2020 

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Joining datasets via data augmentation in the label space for neural networks


Jun 17, 2021
Jake Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen

* Accepted in ICML 2021. Jake Zhao and Mingfeng Ou contributed equally 

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A critical look at the current train/test split in machine learning


Jun 08, 2021
Jimin Tan, Jianan Yang, Sai Wu, Gang Chen, Jake Zhao


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Machine vision detection to daily facial fatigue with a nonlocal 3D attention network


Apr 21, 2021
Zeyu Chen, Xinhang Zhang, Juan Li, Jingxuan Ni, Gang Chen, Shaohua Wang, Fangfang Fan, Changfeng Charles Wang, Xiaotao Li

* 25 pages, 6 figures, 5 tables 

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AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment


Apr 01, 2021
Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi

* Accepted by SIGMOD 2021 Data Science and Engineering Track 

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Guided Interpolation for Adversarial Training


Feb 15, 2021
Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama


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Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking


Feb 06, 2021
Victoria Huang, Gang Chen, Qiang Fu


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Neural Machine Translation: A Review of Methods, Resources, and Tools


Dec 31, 2020
Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu

* Accepted by AI Open 

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Towards a Universal Continuous Knowledge Base


Dec 25, 2020
Gang Chen, Maosong Sun, Yang Liu


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Learning Symbolic Expressions via Gumbel-Max Equation Learner Network


Dec 12, 2020
Gang Chen


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LINDT: Tackling Negative Federated Learning with Local Adaptation


Nov 23, 2020
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu


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BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention


Nov 09, 2020
Zhebin Zhang, Sai Wu, Dawei Jiang, Gang Chen


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MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines


Oct 17, 2020
Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi

* 13 pages 

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Bio-inspired Obstacle Avoidance for Flying Robots with Active Sensing


Oct 10, 2020
Gang Chen, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding

* 8 pages, 7 figures 

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Privacy Preserving Vertical Federated Learning for Tree-based Models


Aug 14, 2020
Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi

* Proc. VLDB Endow. 13(11): 2090-2103 (2020) 

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Planimation


Aug 11, 2020
Gang Chen, Yi Ding, Hugo Edwards, Chong Hin Chau, Sai Hou, Grace Johnson, Mohammed Sharukh Syed, Haoyuan Tang, Yue Wu, Ye Yan, Gil Tidhar, Nir Lipovetzky

* Best ICAPS 19 - Systen Demo Award - technical report 

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Robust Federated Recommendation System


Jun 15, 2020
Chen Chen, Jingfeng Zhang, Anthony K. H. Tung, Mohan Kankanhalli, Gang Chen


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Decorrelated Double Q-learning


Jun 12, 2020
Gang Chen

* 8 pages, 5 figures 

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Learning to Predict Explainable Plots for Neural Story Generation


Dec 06, 2019
Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun

* 10 pages 

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PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones


Dec 05, 2019
Gang Chen, Shengyu He, Haitao Meng, Kai Huang


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Context-aware Active Multi-Step Reinforcement Learning


Nov 27, 2019
Gang Chen, Dingcheng Li, Ran Xu

* 9 pages 

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Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning


Nov 24, 2019
Gang Chen


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Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis with Noise Model Embedding


Nov 12, 2019
Gang Chen, Hongzhe Yu, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding

* 10 pages, 11 figures 

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Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis


Oct 30, 2019
Gang Chen, Hongzhe Yu, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding

* 10 pages, 11 figures 

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Stain Style Transfer using Transitive Adversarial Networks


Oct 23, 2019
Shaojin Cai, Yuyang Xue3 Qinquan Gao, Min Du, Gang Chen, Hejun Zhang, Tong Tong

* MICCAI 2019 MLMIR Workshop, Oral Paper 

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A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation


Oct 21, 2019
Gang Chen


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Database Meets Deep Learning: Challenges and Opportunities


Jun 21, 2019
Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan

* SIGMOD Rec.,45(2):17{22, Sept. 2016 
* The previous version of this paper has appeared in SIGMOD Record. In this version, we extend it to include the recent developments in this field and references to recent work 

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Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition


Jun 19, 2019
Chen Wang, Hui Ma, Gang Chen, Sven Hartmann


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