Junjie Ye
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2026
CVACL-MA: Comprehensive variate analysis and collaborative learning with multi-adapter for multivariate time series forecasting.
Pattern Recognit., 2026
2025
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments.
CoRR, August, 2025
CoRR, August, 2025
SpeechRole: A Large-Scale Dataset and Benchmark for Evaluating Speech Role-Playing Agents.
CoRR, August, 2025
Fractional Position With Predictive Attention for Multivariate Time Series Forecasting.
IEEE Internet Things J., July, 2025
IEEE Internet Things J., July, 2025
Advancing crowd counting accuracy in diverse environments via comprehensive domain alignment strategies.
Multim. Syst., June, 2025
CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios.
CoRR, June, 2025
CoRR, June, 2025
Fractional-order Jacobian Matrix Differentiation and Its Application in Artificial Neural Networks.
CoRR, June, 2025
A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models.
CoRR, May, 2025
Appl. Intell., April, 2025
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric.
CoRR, February, 2025
CoRR, February, 2025
Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training.
CoRR, February, 2025
Energy Efficiency Optimization in Active Reconfigurable Intelligent Surface-Aided Integrated Sensing and Communication Systems.
IEEE Trans. Veh. Technol., January, 2025
MFFCNN: multi-scale fractional Fourier transform convolutional neural network for multivariate time series forecasting.
J. Supercomput., January, 2025
CoRR, January, 2025
CoRR, January, 2025
Neural Networks, 2025
Dual-stream interactive networks with pearson-mask awareness for multivariate time series forecasting.
Neural Networks, 2025
DFGCN: Decoupled dual-flow dynamic graph convolutional network for multivariate time series forecasting.
Knowl. Based Syst., 2025
Discontinuous Galerkin simulation of sliding geometries using a point-to-point interpolation technique.
J. Comput. Phys., 2025
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Wirel. Commun. Lett., August, 2024
Multi-grained visual pivot-guided multi-modal neural machine translation with text-aware cross-modal contrastive disentangling.
Neural Networks, 2024
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use.
CoRR, 2024
CoRR, 2024
SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance.
CoRR, 2024
CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models.
CoRR, 2024
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition.
CoRR, 2024
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback.
CoRR, 2024
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.
CoRR, 2024
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Communications Workshops, 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Siamese object tracking for unmanned aerial vehicle: a review and comprehensive analysis.
Artif. Intell. Rev., October, 2023
IEEE Trans. Mob. Comput., August, 2023
IEEE Robotics Autom. Lett., June, 2023
IEEE Trans. Ind. Informatics, 2023
Layer-Level Progressive Transformer With Modality Difference Awareness for Multi-Modal Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
A Fast and Low-Power Detection System for the Missing Pin Chip Based on YOLOv4-Tiny Algorithm.
Sensors, 2023
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.
CoRR, 2023
Bio-Inspired Simple Neural Network for Low-Light Image Restoration: A Minimalist Approach.
CoRR, 2023
CoRR, 2023
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation.
CoRR, 2023
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.
CoRR, 2023
A Two-Stage Beamforming Design for Active RIS Aided Dual Functional Radar and Communication.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Image and Graphics - 12th International Conference, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
GPT-LS: Generative Pre-Trained Transformer with Offline Reinforcement Learning for Logic Synthesis.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023
A Light-weight Learning Framework for RIS-assisted Beamforming Design with Mobile Edge Computing.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
IEEE Trans. Ind. Electron., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Theor. Comput. Sci., 2022
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
Knowl. Based Syst., 2022
CoRR, 2022
Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis.
CoRR, 2022
Dual-level interactive multimodal-mixup encoder for multi-modal neural machine translation.
Appl. Intell., 2022
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Noise-robust Cross-modal Interactive Learning with Text2Image Mask for Multi-modal Neural Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Disruptor-Aware Interval-Based Response Inconsistency for Correlation Filters in Real-Time Aerial Tracking.
IEEE Trans. Geosci. Remote. Sens., 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid Label.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 4th International Conference on Complex Systems Design & Management Asia, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2019
2018
STOMA: Simultaneous Template Optimization and Mask Assignment for Directed Self-Assembly Lithography With Multiple Patterning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
Proceedings of the Frontiers in Algorithmics - 12th International Workshop, 2018
2016
Proceedings of the Graph-Theoretic Concepts in Computer Science, 2016
Simultaneous template optimization and mask assignment for DSA with multiple patterning.
Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016
2015
Theor. Comput. Sci., 2015
2014
Proceedings of the Mathematical Foundations of Computer Science 2014, 2014
Proceedings of the Algorithmic Aspects in Information and Management, 2014
2013
2011
Numerical approaches to fractional calculus and fractional ordinary differential equation.
J. Comput. Phys., 2011
2010
Proceedings of the International Conference on E-Business and E-Government, 2010