2025
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation.
CoRR, March, 2025
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation.
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CoRR, February, 2025
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models.
CoRR, January, 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit.
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CoRR, January, 2025
LogicNet: A Logical Consistency Embedded Face Attribute Learning Network.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Graphical Method for Cross-Coupling Effect Online Suppression in Sensorless Predictive Direct Torque Controlled IPMSM Drives.
IEEE Trans. Ind. Electron., November, 2024
Video Multimodal Entity Linking via Multi-Perspective Enhanced Subgraph Contrastive Network.
Int. J. Softw. Eng. Knowl. Eng., November, 2024
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal.
IEEE J. Biomed. Health Informatics, September, 2024
Knowledge distillation under ideal joint classifier assumption.
Neural Networks, 2024
InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction.
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CoRR, 2024
ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System.
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CoRR, 2024
Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance.
CoRR, 2024
FLAME Diffuser: Grounded Wildfire Image Synthesis using Mask Guided Diffusion.
CoRR, 2024
A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit.
Comput. Methods Programs Biomed., 2024
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta.
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Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
AutoML for Large Capacity Modeling of Meta's Ranking Systems.
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Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Fine-Scale Classification of Wetland in the Yellow River Estuary based on UAV Hyperspectral Data.
Proceedings of the IGARSS 2024, 2024
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Fast CU Partition Algorithm for Intra Frame Coding Based on Joint Texture Classification and CNN.
Sensors, September, 2023
PACOL: Poisoning Attacks Against Continual Learners.
CoRR, 2023
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta.
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CoRR, 2023
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features.
CoRR, 2023
Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference.
CoRR, 2023
Knowledge Distillation Under Ideal Joint Classifier Assumption.
CoRR, 2023
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples.
CoRR, 2023
TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting.
CoRR, 2023
Beyond MobileNet: An Improved MobileNet for Retinal Diseases.
Proceedings of the Myopic Maculopathy Analysis, 2023
Prediction of Spherical Equivalent with Vanilla ResNet.
Proceedings of the Myopic Maculopathy Analysis, 2023
2022
Wetland Vegetation Classification through Multi-Dimensional Feature Time Series Remote Sensing Images Using Mahalanobis Distance-Based Dynamic Time Warping.
Remote. Sens., 2022
Balanced single-shot object detection using cross-context attention-guided network.
Pattern Recognit., 2022
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.
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CoRR, 2022
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review.
CoRR, 2022
A Permanent Magnet Synchronous Machine Fault Diagnosis Method Using Electrical Signals Based on Image Processing Technique.
Proceedings of the Signal Processing: Algorithms, 2022
Software-hardware co-design for fast and scalable training of deep learning recommendation models.
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Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022
Targeted Data Poisoning Attacks Against Continual Learning Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach.
IEEE Trans. Knowl. Data Eng., 2021
Route Recommendations for Intelligent Transportation Services.
IEEE Trans. Knowl. Data Eng., 2021
An Improved Model-Free Predictive Current Control With Advanced Current Gradient Updating Mechanism.
IEEE Trans. Ind. Electron., 2021
Image Registration Technique to Improve a Self-Sensing Estimation for Model Predictive Controlled Interior PMSM Drives.
IEEE Trans. Ind. Electron., 2021
A Geometrical Interpretation of Current Transient Responses to Predict Current Gradients for IPMSM Model Predictive Control.
IEEE Trans. Ind. Electron., 2021
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.
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CoRR, 2021
Change Detection Method of High Resolution Remote Sensing Image Based on D-S Evidence Theory Feature Fusion.
IEEE Access, 2021
Drought Monitoring Method based on Multiscale Remote Sensing Data Fusion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Towards Boosting Channel Attention for Real Image Denoising: Sub-band Pyramid Attention.
Proceedings of the Image and Graphics - 11th International Conference, 2021
Boosting Belief Propagation for LDPC Codes with Deep Convolutional Neural Network Predictors.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021
2020
Towards Boosting the Channel Attention in Real Image Denoising : Sub-band Pyramid Attention.
CoRR, 2020
Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning.
CoRR, 2020
Deep-learning-based extraction of the animal migration patterns from weather radar images.
Sci. China Inf. Sci., 2020
Deep DIH: Single-Shot Digital In-Line Holography Reconstruction by Deep Learning.
IEEE Access, 2020
DG-FPN: Learning Dynamic Feature Fusion Based on Graph Convolution Network For Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
Transfer Learning for Wildfire Identification in UAV Imagery.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
2019
Channel Locality Block: A Variant of Squeeze-and-Excitation.
CoRR, 2019
Channel Modeling for Future High-Speed Railway Communication Systems: A Survey.
IEEE Access, 2019
Simulation and Analysis of Propagation Characteristics for Tunnel Train-Ground Communications at 1.4 and 40 GHz.
IEEE Access, 2019
Reference Voltage Vector Based Model Predictive Torque Control with RMS Solution for PMSM.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Cascade Evolving Network for Vehicle Detection of Highway.
Proceedings of the 4th International Conference on Machine Learning Technologies, 2019
Wireless Channel Pattern Recognition Using k-Nearest Neighbor Algorithm for High-Speed Railway.
Proceedings of the Communications and Networking, 2019
MEDA: Multi-output Encoder-Decoder for Spatial Attention in Convolutional Neural Networks.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
Detecting global and local topics via mining twitter data.
Neurocomputing, 2018
Cognitive Consistency Routing Algorithm of Capsule-network.
CoRR, 2018
2017
Tracking the Dynamics in Crowdfunding.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
A Context-aware Attention Network for Interactive Question Answering.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Prospecting the Career Development of Talents: A Survival Analysis Perspective.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2016
A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest Recommendation.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Point-of-Interest Recommendations: Learning Potential Check-ins from Friends.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
μ-analysis and synthesis method for single-phase medium frequency power supply.
Proceedings of the 25th IEEE International Symposium on Industrial Electronics, 2016
A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
基于混沌万有引力搜索算法的SVM参数优化及应用 (Parameter Optimization and Application of SVM Based on Chaos Gravitational Search Algorithm).
计算机科学, 2015
Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Regularizing Flat Latent Variables with Hierarchical Structures.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Point-of-Interest Recommender Systems: A Separate-Space Perspective.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2011
A Method of Building Domain Knowledge Base from XML Based on Semantic Views.
Proceedings of the Seventh International Conference on Semantics Knowledge and Grid (SKG 2011), 2011
A Method of Building Virtual Datacenter Based on Semantic Views.
Proceedings of the IEEE 8th International Conference on e-Business Engineering, 2011
2010
Alert Monitoring Cloud: Psychological Health Analysis of Web Text in Cloud.
Proceedings of the Fifth Annual ChinaGrid Conference, ChinaGrid 2010, Guangzhou, 2010
2009
Semantic Query on Materials Data Based on Mapping MatML to an OWL Ontology.
Data Sci. J., 2009
2008
Research and Implementation of Domain-Specific Ontology Building from Relational Database.
Proceedings of the Third ChinaGrid Annual Conference, ChinaGrid 2008, Dunhuang, Gansu, 2008
A Framework of Web Services Description and Discovery Based on OWL-S and Domain Ontology.
Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008
A Service-Oriented Modeling Technique for Domain-Specific Software.
Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008