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Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks

Jan 18, 2022
Rui Luo, Vikram Krishnamurthy

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Anomalous Edge Detection in Edge Exchangeable Social Network Models

Sep 27, 2021
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy

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Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics

Sep 20, 2021
Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang

* 18 pages 

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More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints

May 20, 2021
Yuxiao Chen, Jianbo Yuan, Long Zhao, Rui Luo, Larry Davis, Dimitris N. Metaxas

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Affordance-Based Mobile Robot Navigation Among Movable Obstacles

Feb 09, 2021
Maozhen Wang, Rui Luo, Aykut Ozgun Onol, Taskin Padir

* IROS 2020 

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Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation

Dec 25, 2020
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy

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Learning to Infer User Hidden States for Online Sequential Advertising

Sep 03, 2020
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai

* to be published in CIKM 2020 

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A weakly supervised adaptive triplet loss for deep metric learning

Sep 27, 2019
Xiaonan Zhao, Huan Qi, Rui Luo, Larry Davis

* 4 pages, ICCV Fashion Workshop 

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Wasserstein Robust Reinforcement Learning

Sep 16, 2019
Mohammed Amin Abdullah, Hang Ren, Haitham Bou Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang

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Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment

Jul 23, 2019
Jianbo Yuan, Haofu Liao, Rui Luo, Jiebo Luo

* MICCAI 2019 

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Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets

Jun 11, 2019
Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang

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Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning

Jan 26, 2019
Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan

* ICLR 2019 

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Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling

Dec 07, 2018
Rui Luo, Qiang Zhang, Yuanyuan Liu

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Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series

Nov 08, 2018
Qiang Zhang, Rui Luo, Yaodong Yang, Yuanyuan Liu

* NIPS 2018, Workshop on Challenges and Opportunities for AI in Financial Services 

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Mean Field Multi-Agent Reinforcement Learning

Jul 19, 2018
Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang

* ICML 2018 (Full paper + Long talk) 

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Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning

May 28, 2018
Rui Luo, Yaodong Yang, Jianhong Wang, Zhanxing Zhu, Jun Wang

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A Neural Stochastic Volatility Model

Nov 30, 2017
Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang

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Learning text representation using recurrent convolutional neural network with highway layers

Aug 02, 2016
Ying Wen, Weinan Zhang, Rui Luo, Jun Wang

* Neu-IR '16 SIGIR Workshop on Neural Information Retrieval 

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