Guangyong Chen

Seyed Mohammad Hussein Kazemi

Proceedings of the 8th International Conference on Information Systems Engineering, 2023

Traj-MAE: Masked Autoencoders for Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Investigations on Scientific Literature Meta Information Extraction Using Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Knowledge Graph, 2023

RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Rotation-Invariant Framework for Deep Point Cloud Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey on Generative Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2022

MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails.

[BibT_eX]

[DOI]

CoRR, 2022

Approximate Range Thresholding.

[BibT_eX]

[DOI]

Zhuo Zhang

Junhao Gan

Zhifeng Bao

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Acknowledging the Unknown for Multi-label Learning with Single Positive Labels.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

LHNN: lattice hypergraph neural network for VLSI congestion prediction.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models.

[BibT_eX]

[DOI]

J. Cheminformatics, 2021

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2020

2019

Wasserstein Collaborative Filtering for Item Cold-start Recommendation.

[BibT_eX]

[DOI]

CoRR, 2019

PMD: A New User Distance for Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Spectral-based Graph Convolutional Network for Directed Graphs.

[BibT_eX]

[DOI]

CoRR, 2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

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

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Efficient and Robust Emergence of Norms through Heuristic Collective Learning.

[BibT_eX]

[DOI]

ACM Trans. Auton. Adapt. Syst., 2018

Tracking topology structure adaptively with deep neural networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2018

Psrec: social recommendation with pseudo ratings.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017

Blind Image Denoising via Dependent Dirichlet Process Tree.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Learning to Aggregate Ordinal Labels by Maximizing Separating Width.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Cascaded Feature Network for Semantic Segmentation of RGB-D Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2016

A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

From Noise Modeling to Blind Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

An Efficient Statistical Method for Image Noise Level Estimation.

[BibT_eX]

[DOI]