We stand with Ukraine

We stand with Ukraine

Jinchuan Zhang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2026

AdvReal: Physical adversarial patch generation framework for security evaluation of object detection systems.

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Expert Syst. Appl., 2026

2025

AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models.

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CoRR, May, 2025

AdvReal: Adversarial Patch Generation Framework with Application to Adversarial Safety Evaluation of Object Detection Systems.

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CoRR, May, 2025

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training.

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CoRR, May, 2025

Temporal knowledge graph reasoning based on discriminative neighboring semantic learning.

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Pattern Recognit., 2025

Non-autoregressive diffusion-based temporal point processes for continuous-time long-term event prediction.

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Expert Syst. Appl., 2025

Physics-Informed Transformer for Efficient Fluid Dynamics Predictions.

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Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2025

Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning.

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Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Federal Graph Contrastive Learning With Secure Cross-Device Validation.

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IEEE Trans. Mob. Comput., December, 2024

Super-Resolution for Land Surface Temperature Retrieval Images via Cross-Scale Diffusion Model Using Reference Images.

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Remote. Sens., April, 2024

PLEASING: Exploring the historical and potential events for temporal knowledge graph reasoning.

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Neural Networks, 2024

Learning multi-graph structure for Temporal Knowledge Graph reasoning.

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Expert Syst. Appl., 2024

Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning.

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CoRR, 2024

FFSwinNet: CNN-Transformer Combined Network With FFT for Shale Core SEM Image Segmentation.

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IEEE Access, 2024

NPC: Neural Predictive Control for Fuel-Efficient Autonomous Trucks.

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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning Granularity Representation for Temporal Knowledge Graph Completion.

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Proceedings of the Neural Information Processing - 31st International Conference, 2024

RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction.

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Inductive Knowledge Graph Embedding via Exploring Interaction Patterns of Relations.

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Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Complex Knowledge Base Question Answering via Structure and Content Dual-Driven Method.

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Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Addressing the urban-scale vehicle assignment and rebalancing problems in shared autonomous vehicle system while simultaneously considering immediate, reservation, shareable, and unshareable requests.

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Comput. Ind. Eng., March, 2023

TrojanSQL: SQL Injection against Natural Language Interface to Database.

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A Lagrangian relaxation approach based on a time-space-state network for railway crew scheduling.

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Andrea D'Ariano

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Comput. Ind. Eng., 2022

DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction.

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Proceedings of the Natural Language Processing and Chinese Computing, 2022

2021

A Parameterized Approximation Algorithm for the Chromatic k-Median Problem.

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IEEE Access, 2021

2019

Latent Topic Attention for Domain Classification.

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Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2017

Ubiquitous blood pressure monitoring using EEG and PPG signals.

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Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2011

An Application of the BP Neural Network to Carbonate Karst Reservoirs Prediction.

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Proceedings of the 4th International Symposium on Computational Intelligence and Design, 2011

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