Guangyong Chen

发表

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning pdf

Yujing Hu, Jianye Hao, Changjie Fan, 2020, ICML.

A Rotation-Invariant Framework for Deep Point Cloud Analysis pdf

Xianzhi Li, Chi-Wing Fu, Pheng-Ann Heng, 2020, ArXiv.

Tracking topology structure adaptively with deep neural networks

Zhang Yi, Pheng-Ann Heng, Guangyong Chen, 2017, Neural Computing and Applications.

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning pdf

Jianye Hao, Yaodong Yang, Wulong Liu, 2020, ArXiv.

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning

Feng Liu, Pheng-Ann Heng, Weiwen Liu, 2020, PAKDD.

A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction

Pheng-Ann Heng, Guangyong Chen, Fengyuan Zhu, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Projection-embedded BYY learning algorithm for Gaussian mixture-based clustering

Pheng-Ann Heng, Guangyong Chen, Lei Xu, 2014, Applied Informatics.

Psrec: social recommendation with pseudo ratings

Shengyu Zhang, Guangyong Chen, Yitong Meng, 2018, RecSys.

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Pengfei Chen, Guangyong Chen, Shengyu Zhang, 2019, ICML.

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models pdf

Pengfei Chen, Shengyu Zhang, Renjie Liao, 2019, ArXiv.

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks pdf

Pengfei Chen, Chang-Yu Hsieh, Guangyong Chen, 2019, ArXiv.

Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric pdf

Jiashi Feng, Yun Liu, Ming-Ming Cheng, 2019, ArXiv.

Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels pdf

Pheng-Ann Heng, Junjie Ye, Guangyong Chen, 2020, AAAI.

Spectral-based Graph Convolutional Network for Directed Graphs pdf

Yi Ma, Jianye Hao, Yaodong Yang, 2019, ArXiv.

From Noise Modeling to Blind Image Denoising

Pheng-Ann Heng, Fengyuan Zhu, Guangyong Chen, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Wasserstein Collaborative Filtering for Item Cold-start Recommendation

Jun Guo, Weiwen Liu, Guangyong Chen, 2019, ArXiv.

Multistep weighted least squares estimation method for improving single-point positioning accuracy

Chunming Fan, Guangyong Chen, Jishi Zheng, 2019, Journal of Applied Remote Sensing.

Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise pdf

Pheng-Ann Heng, Junjie Ye, Guangyong Chen, 2020, AAAI.

Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference

Pheng-Ann Heng, Fengyuan Zhu, Guangyong Chen, 2018, ACM Trans. Knowl. Discov. Data.

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction pdf

Pengfei Chen, Li Wang, Jianye Hao, 2019, ArXiv.

Low-cost versus high-grade global navigation satellite system receivers: kinematic global positioning system–BeiDou navigation satellite system single-point positioning performance evaluation for vehicular urban navigation

Chunming Fan, Guangyong Chen, Jishi Zheng, 2019 .

Learning to Aggregate Ordinal Labels by Maximizing Separating Width

Pheng-Ann Heng, Shengyu Zhang, Hui Huang, 2017, ICML.

Image denoising, local factor analysis, Bayesian Ying-Yang harmony learning

Pheng-Ann Heng, Lei Xu, Fengyuan Zhu, 2015 .

Blind Image Denoising via Dependent Dirichlet Process Tree

Pheng-Ann Heng, Jianye Hao, Fengyuan Zhu, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

PMD: An Optimal Transportation-Based User Distance for Recommender Systems

Xiao Yan, Weiwen Liu, Guangyong Chen, 2019, ECIR.

An Efficient Statistical Method for Image Noise Level Estimation

Guangyong Chen, Pheng Ann Heng, Fengyuan Zhu, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Cascaded Feature Network for Semantic Segmentation of RGB-D Images

Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Efficient and Robust Emergence of Norms through Heuristic Collective Learning

Jun Sun, Jianye Hao, Chao Yu, 2017, ACM Trans. Auton. Adapt. Syst..

Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization pdf

Pheng-Ann Heng, Fengyuan Zhu, Guangyong Chen, 2016, ArXiv.

PMD: A New User Distance for Recommender Systems pdf

Jun Guo, Weiwen Liu, Guangyong Chen, 2019, ArXiv.

A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR pdf

Pengfei Chen, Guangyong Chen, Shengyu Zhang, 2019, ArXiv.

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning pdf

Pheng-Ann Heng, Guangyong Chen, Qiong Wang, 2021, NeurIPS.

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning pdf

Guangyong Chen, Ruiming Tang, Pheng Ann Heng, 2021, ArXiv.

Noise against noise: stochastic label noise helps combat inherent label noise

Pheng-Ann Heng, Guangyong Chen, Jingwei Zhao, 2021, ICLR.

Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance

Pheng-Ann Heng, Guangyong Chen, Mingqiang Wei, 2021, ACM Multimedia.

A Rotation-Invariant Framework for Deep Point Cloud Analysis

Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng, 2020, IEEE Transactions on Visualization and Computer Graphics.

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction

Jianye Hao, Zhaopeng Meng, Chen Chen, 2021, AAAI.

Log Hyperbolic Cosine Loss Improves Variational Auto-Encoder

Pengfei Chen, Shengyu Zhang, Guangyong Chen, 2018 .

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning pdf

Jianye Hao, Guangyong Chen, Hongyao Tang, 2020, ArXiv.