2025
Class agnostic and specific consistency learning for weakly-supervised point cloud semantic segmentation.
Pattern Recognit., 2025
2024
Unified Multi-Modality Video Object Segmentation Using Reinforcement Learning.
IEEE Trans. Circuits Syst. Video Technol., August, 2024
Prototype Guided Pseudo Labeling and Perturbation-based Active Learning for domain adaptive semantic segmentation.
Pattern Recognit., April, 2024
Context-based local-global fusion network for 3D point cloud classification and segmentation.
Expert Syst. Appl., 2024
SweetTokenizer: Semantic-Aware Spatial-Temporal Tokenizer for Compact Visual Discretization.
CoRR, 2024
Bi-Mamba: Towards Accurate 1-Bit State Space Models.
CoRR, 2024
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation.
CoRR, 2024
Massive Activations in Large Language Models.
CoRR, 2024
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
A Simple and Effective Pruning Approach for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Adversarial Erasing Transformer for Weakly Supervised Semantic Segmentation.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
PromptCD: Coupled and Decoupled Prompt Learning for Vision-Language Models.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Fully and Weakly Supervised Referring Expression Segmentation With End-to-End Learning.
IEEE Trans. Circuits Syst. Video Technol., October, 2023
Plausible Proxy Mining With Credibility for Unsupervised Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., July, 2023
Illumination Temporal Fluctuation Suppression for Single-Pixel Imaging.
Sensors, February, 2023
Starting Point Selection and Multiple-Standard Matching for Video Object Segmentation With Language Annotation.
IEEE Trans. Multim., 2023
Cycle-Free Weakly Referring Expression Grounding With Self-Paced Learning.
IEEE Trans. Multim., 2023
Reliable Test-Time Adaptation via Agreement-on-the-Line.
CoRR, 2023
Dance with You: The Diversity Controllable Dancer Generation via Diffusion Models.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
(Certified!!) Adversarial Robustness for Free!
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Transformer-Based Language-Person Search With Multiple Region Slicing.
IEEE Trans. Circuits Syst. Video Technol., 2022
Test Time Adaptation via Conjugate Pseudo-labels.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
MLSAN: Mixed-Lattice Self-Attention Network for Chinese Named Entity Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Multi-relation Word Pair Tag Space for Joint Entity and Relation Extraction.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Chinese Named Entity Recognition Using the Improved Transformer Encoder and the Lexicon Adapter.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
An Unsupervised Sentence Embedding Method by Maximizing the Mutual Information of Augmented Text Representations.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Characterizing Attacks on Deep Reinforcement Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Progressive sample mining and representation learning for one-shot person re-identification.
Pattern Recognit., 2021
Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings?
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
An Improved Random Walk Algorithm for Resource Scheduling in Cloud Datacenter.
Proceedings of the ICCDE 2021: 7th International Conference on Computing and Data Engineering, Phuket, Thailand, January 15, 2021
Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Adaptive ROI generation for video object segmentation using reinforcement learning.
Pattern Recognit., 2020
Extreme Value Preserving Networks.
CoRR, 2020
Poisoned classifiers are not only backdoored, they are fundamentally broken.
CoRR, 2020
Black-box Smoothing: A Provable Defense for Pretrained Classifiers.
CoRR, 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Feature Representation Matters: End-to-End Learning for Reference-Based Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020, 2020
Fast Template Matching and Update for Video Object Tracking and Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples.
CoRR, 2019
Characterizing Attacks on Deep Reinforcement Learning.
CoRR, 2019
Rethinking the Value of Network Pruning.
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Data Poisoning Attack against Unsupervised Node Embedding Methods.
CoRR, 2018
2016
Adaptive foveated single-pixel imaging with dynamic super-sampling.
CoRR, 2016
2015
Intracranial hemorrhage detection by 3D voxel segmentation on brain CT images.
Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015
2014
Analysis on ghost image contrast using linearly polarized light.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014
2013
Monitoring Web Services for Conformance.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013
2009
Monitoring BPEL-Based Web Service Composition Using AOP.
Proceedings of the 8th IEEE/ACIS International Conference on Computer and Information Science, 2009
2008
Data-Enriched Modeling and Verification of WS-CDL Based on UML Models.
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008
A Timed Extension of Property Sequence Chart.
Proceedings of the 11th IEEE High Assurance Systems Engineering Symposium, 2008
A PSC-Based Approach to Monitor the Timed Properties in Web Service Compositions.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008
An Approach to Monitor Scenario-Based Temporal Properties in Web Service Compositions.
Proceedings of the Advanced Web and NetworkTechnologies, and Applications, 2008
Extending PSC for Monitoring the Timed Properties in Composite Services.
Proceedings of the 15th Asia-Pacific Software Engineering Conference (APSEC 2008), 2008