2025
Multi-constraint reinforcement learning in complex robot environments.
Frontiers Comput. Sci., August, 2025
LSDNet: lightweight stochastic depth network for human pose estimation.
Vis. Comput., January, 2025
2024
More accurate heatmap generation method for human pose estimation.
Multim. Syst., August, 2024
Face forgery detection by progressively enhancing spatial and frequency-aware features.
Multim. Syst., June, 2024
Composite Indicator for Detecting and Localizing Time-Varying RFI in SAR Raw Data.
IEEE Trans. Geosci. Remote. Sens., 2024
Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data.
CoRR, 2024
Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data.
CoRR, 2024
TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation.
CoRR, 2024
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning.
CoRR, 2024
SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity.
CoRR, 2024
Do Graph Neural Networks Work for High Entropy Alloys?
CoRR, 2024
Unleashing the Potential of Diffusion Models for Incomplete Data Imputation.
CoRR, 2024
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning.
CoRR, 2024
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.
CoRR, 2024
Adaptive module and accurate heatmap translator for multi-person human pose estimation.
Comput. Graph., 2024
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
LLMCompass: Enabling Efficient Hardware Design for Large Language Model Inference.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Revisit Orthogonality in Graph-Regularized MLPs.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving.
IEEE Trans. Veh. Technol., April, 2023
A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar.
Remote. Sens., February, 2023
The Application of SSC for RFI Suppression in SLC Images of Sentinel-1 IW Mode.
IEEE Geosci. Remote. Sens. Lett., 2023
Exploring the adoption decisions of mobile health service users: a behavioral reasoning theory perspective.
Ind. Manag. Data Syst., 2023
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models.
CoRR, 2023
MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling.
CoRR, 2023
A Hardware Evaluation Framework for Large Language Model Inference.
CoRR, 2023
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.
CoRR, 2023
CogDL: A Comprehensive Library for Graph Deep Learning.
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Proceedings of the ACM Web Conference 2023, 2023
Simplifying and Empowering Transformers for Large-Graph Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Exploiting Intent Evolution in E-commercial Query Recommendation.
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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Simultaneous Screening and Detection of RFI From Massive SAR Images: A Case Study on European Sentinel-1.
IEEE Trans. Geosci. Remote. Sens., 2022
An Improved RFI Mitigation Approach for SAR Based on Low-Rank Sparse Decomposition: From the Perspective of Useful Signal Protection.
Remote. Sens., 2022
Mobile Robot Path Planning Method Based on Deep Reinforcement Learning Algorithm.
J. Circuits Syst. Comput., 2022
Localized Contrastive Learning on Graphs.
CoRR, 2022
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data.
CoRR, 2022
Uncertainty-aware Mixed-variable Machine Learning for Materials Design.
CoRR, 2022
Heuristic Adaptability to Input Dynamics for SpMM on GPUs.
CoRR, 2022
Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective.
CoRR, 2022
Conservative Distributional Reinforcement Learning with Safety Constraints.
CoRR, 2022
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022
M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Handling Distribution Shifts on Graphs: An Invariance Perspective.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Heuristic adaptability to input dynamics for SpMM on CPUs.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Align Representations with Base: A New Approach to Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Machine Learning for Electronic Design Automation: A Survey.
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ACM Trans. Design Autom. Electr. Syst., 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
A Two-Step Approach for Pulse RFI Detection in SAR Data.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Inductive Relational Matrix Completion.
CoRR, 2020
Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems.
Proceedings of the World Wide Web Conference, 2019
2018
Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2007
Extending Web Search for Online Plagiarism Detection.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007