2025
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting.
CoRR, May, 2025
Multi-modal Time Series Analysis: A Tutorial and Survey.
CoRR, March, 2025
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop.
CoRR, March, 2025
Localization of Ground-Based Periodic Pulse Interferers Using Time Difference of Arrival Estimation in SAR Satellite Systems.
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IEEE Trans. Geosci. Remote. Sens., 2025
Position Really Matters: Towards a Holistic Approach for Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
MixLLM: Dynamic Routing in Mixed Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
SFS: Smarter Code Space Search improves LLM Inference Scaling.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
TSLA: A Multi-Task Time Series Language Model.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Towards Inductive and Efficient Explanations for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024
A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain.
Sensors, May, 2024
Efficient Long-Time Coherent Integration and Detection Algorithm for Radar High-Speed Target Based on the Azimuth Resampling Technology.
IEEE Trans. Aerosp. Electron. Syst., February, 2024
Scattered Forest Search: Smarter Code Space Exploration with LLMs.
CoRR, 2024
Interpretable Imitation Learning with Dynamic Causal Relations.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A New Method of Noise Frequency Modulated Interference Suppression for SAR.
Proceedings of the IGARSS 2024, 2024
Large Language Models Can Be Contextual Privacy Protection Learners.
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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
2023
Maneuvering target detection method based on Keystone transform and Radon local mapping sparse-modified Lv's Distribution.
Signal Image Video Process., 2023
Large Language Models Can Be Good Privacy Protection Learners.
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CoRR, 2023
Dynamic DAG Discovery for Interpretable Imitation Learning.
CoRR, 2023
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Personalized Federated Learning under Mixture of Distributions.
Proceedings of the International Conference on Machine Learning, 2023
GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023
Time Series Contrastive Learning with Information-Aware Augmentations.
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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Real-Time One-Stream Semantic-Guided Refinement Network for RGB-Thermal Salient Object Detection.
IEEE Trans. Instrum. Meas., 2022
Accurate SAR Image Recovery From RFI Contaminated Raw Data by Using Image Domain Mixed Regularizations.
IEEE Trans. Geosci. Remote. Sens., 2022
Complex migration correction and coherent integration algorithm for radar target with arbitrary moving direction.
Digit. Signal Process., 2022
Personalized Federated Learning via Heterogeneous Modular Networks.
Proceedings of the IEEE International Conference on Data Mining, 2022
Seed: Sound Event Early Detection Via Evidential Uncertainty.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Enhanced LRR-Based RFI Suppression for SAR Imaging Using the Common Sparsity of Range Profiles for Accurate Signal Recovery.
IEEE Trans. Geosci. Remote. Sens., 2021
Unsupervised Document Embedding via Contrastive Augmentation.
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CoRR, 2021
The Green Product's Pricing Strategy in a Dual Channel considering Manufacturer's Risk Attitude.
Complex., 2021
Learning to Drop: Robust Graph Neural Network via Topological Denoising.
Proceedings of the WSDM '21, 2021
Autofocus Method for Sparse Aperture ISAR Based on L0 Norm and NLTV Regularization.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Aspect-based Sentiment Classification via Reinforcement Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021
Towards Robustness of Deep Neural Networks via Regularization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Multi-Task Recurrent Modular Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Weak maneuvering target detection in random pulse repetition interval radar.
Signal Process., 2020
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Parameterized Explainer for Graph Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Robust Graph Representation Learning via Neural Sparsification.
Proceedings of the 37th International Conference on Machine Learning, 2020
Inductive and Unsupervised Representation Learning on Graph Structured Objects.
Proceedings of the 8th International Conference on Learning Representations, 2020
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Practical and Scalable Methods for Information Network Analysis and Mining.
PhD thesis, 2019
Fast implementation of ground maneuvering target focusing.
Digit. Signal Process., 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Self-Attentive Attributed Network Embedding Through Adversarial Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Learning Robust Representations with Graph Denoising Policy Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Radio Frequency Interference Suppression for SAR via Block Sparse Bayesian Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Ground maneuvering target detection based on discrete polynomial-phase transform and Lv's distribution.
Signal Process., 2018
Fast method for radar maneuvering target detection and motion parameter estimation.
Multidimens. Syst. Signal Process., 2018
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding.
CoRR, 2018
Modeling Co-Evolution Across Multiple Networks.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Learning Deep Network Representations with Adversarially Regularized Autoencoders.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Ground moving target motion parameter estimation using Radon modified Lv's distribution.
Digit. Signal Process., 2017
Temporally Factorized Network Modeling for Evolutionary Network Analysis.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Event Detection and Summarization Using Phrase Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2015
Learning deep representations via extreme learning machines.
Neurocomputing, 2015
Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
A route planning strategy for the automatic garment cutter based on genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Embedding with Autoencoder Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
2010
A feature selection method for document clustering based on part-of-speech and word co-occurrence.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010