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Gang Chen

Victoria University of Wellington

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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Effective and Efficient Dropout for Deep Convolutional Neural Networks

Apr 22, 2019
Shaofeng Cai, Jinyang Gao, Meihui Zhang, Wei Wang, Gang Chen, Beng Chin Ooi

* 14 pages, 16 figures 

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Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints

Apr 03, 2019
Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao


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Evolutionary Multitasking for Semantic Web Service Composition

Feb 18, 2019
Chen Wang, Hui Ma, Gang Chen, Sven Hartmann


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Optimizing Controller Placement for Software-Defined Networks

Feb 14, 2019
Victoria Huang, Gang Chen, Qiang Fu, Elliott Wen


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Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning

Feb 14, 2019
Gang Chen, Yiming Peng


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Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm

Jan 26, 2019
Soheila Sadeghiram, Hui Ma, Gang Chen

* arXiv admin note: text overlap with arXiv:1901.05564 

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Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition

Jan 16, 2019
Soheila Sadeghiram, Hui MA, Gang Chen


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Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization

Sep 05, 2018
Gang Chen, Yiming Peng, Mengjie Zhang


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PANDA: Facilitating Usable AI Development

Apr 26, 2018
Jinyang Gao, Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Guoliang Li, Teck Khim Ng, Beng Chin Ooi, Sheng Wang, Jingren Zhou


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An Adaptive Clipping Approach for Proximal Policy Optimization

Apr 17, 2018
Gang Chen, Yiming Peng, Mengjie Zhang


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Rafiki: Machine Learning as an Analytics Service System

Apr 17, 2018
Wei Wang, Sheng Wang, Jinyang Gao, Meihui Zhang, Gang Chen, Teck Khim Ng, Beng Chin Ooi

* 13 pages 

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