Tingsong Jiang

According to our database, Tingsong Jiang authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient search of comprehensively robust neural architectures via multi-fidelity evaluation.

Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen

Pattern Recognit., February, 2024

Improving Transferability of Universal Adversarial Perturbation With Feature Disruption.

Donghua Wang, Wen Yao, Tingsong Jiang, Xiaoqian Chen

IEEE Trans. Image Process., 2024

2023

A multi-objective memetic algorithm for automatic adversarial attack optimization design.

Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen

Neurocomputing, August, 2023

Adversarial patch attacks against aerial imagery object detectors.

Guijian Tang, Tingsong Jiang, Weien Zhou, Chao Li, Wen Yao, Yong Zhao

Neurocomputing, June, 2023

Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors.

Guijian Tang, Wen Yao, Tingsong Jiang, Weien Zhou, Yang Yang, Donghua Wang

IEEE Trans. Geosci. Remote. Sens., 2023

Adaptive momentum variance for attention-guided sparse adversarial attacks.

Chao Li, Wen Yao, Handing Wang, Tingsong Jiang

Pattern Recognit., 2023

Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors.

Jialiang Sun, Wen Yao, Tingsong Jiang, Donghua Wang, Xiaoqian Chen

Neural Networks, 2023

Universal Perturbation-based Secret Key-Controlled Data Hiding.

Donghua Wang, Wen Yao, Tingsong Jiang, Xiaoqian Chen

CoRR, 2023

Adversarial Examples in the Physical World: A Survey.

Jiakai Wang, Donghua Wang, Jin Hu, Siyang Wu, Tingsong Jiang, Wen Yao, Aishan Liu, Xianglong Liu

CoRR, 2023

Multi-objective Evolutionary Search of Variable-length Composite Semantic Perturbations.

Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen

CoRR, 2023

A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications.

Donghua Wang, Wen Yao, Tingsong Jiang, Weien Zhou, Lang Lin, Xiaoqian Chen

CoRR, 2023

Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget.

Chao Li, Wen Yao, Handing Wang, Tingsong Jiang, Xiaoya Zhang

Appl. Soft Comput., 2023

RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World.

Donghua Wang, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen

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

2022

An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack.

Chao Li, Handing Wang, Jun Zhang, Wen Yao, Tingsong Jiang

IEEE Trans. Evol. Comput., 2022

A Survey on Physical Adversarial Attack in Computer Vision.

Donghua Wang, Wen Yao, Tingsong Jiang, Guijiang Tang, Xiaoqian Chen

CoRR, 2022

A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design.

Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen

CoRR, 2022

Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation.

Jialiang Sun, Tingsong Jiang, Chao Li, Weien Zhou, Xiaoya Zhang, Wen Yao, Xiaoqian Chen

CoRR, 2022

Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction.

Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang

Proceedings of the International Joint Conference on Neural Networks, 2022

FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack.

Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks.

Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao

CoRR, 2021

2018

Revisiting Distant Supervision for Relation Extraction.

Tingsong Jiang, Jing Liu, Chin-Yew Lin, Zhifang Sui

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2016

Capturing Argument Relationship for Chinese Semantic Role Labeling.

Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Encoding Temporal Information for Time-Aware Link Prediction.

Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Towards Time-Aware Knowledge Graph Completion.

Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui

Proceedings of the COLING 2016, 2016

2015

ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation.

Chuncheng Xiang, Tingsong Jiang, Baobao Chang, Zhifang Sui

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks.

Zhen Wang, Tingsong Jiang, Baobao Chang, Zhifang Sui

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Recognizing Textual Entailment Using Probabilistic Inference.

Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Event Schema Induction Based on Relational Co-occurrence over Multiple Documents.

Tingsong Jiang, Lei Sha, Zhifang Sui

Proceedings of the Natural Language Processing and Chinese Computing, 2014