Yuhang Zhou

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

Bibliography

2025
LLM-QL: A LLM-Enhanced Q-Learning Approach for Scheduling Multiple Parallel Drones.
IEEE Trans. Knowl. Data Eng., September, 2025

A Compact Dual-Channel WPT System Based on Decoupled Integrated Coils for Power Enhancement.
IEEE Trans. Circuits Syst. II Express Briefs, September, 2025

A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence.
CoRR, July, 2025

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning.
CoRR, July, 2025

Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation.
CoRR, June, 2025

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs.
CoRR, June, 2025

The Hidden Language of Harm: Examining the Role of Emojis in Harmful Online Communication and Content Moderation.
CoRR, June, 2025

StegMamba: Distortion-Free Immune-Cover for Multi-Image Steganography With State Space Model.
IEEE Trans. Circuits Syst. Video Technol., May, 2025

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.
CoRR, May, 2025

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data.
CoRR, May, 2025

Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It Teaches.
CoRR, May, 2025

GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint.
ACM Trans. Knowl. Discov. Data, April, 2025

Echo: Efficient Co-Scheduling of Hybrid Online-Offline Tasks for Large Language Model Serving.
CoRR, April, 2025

PRAGA: A Priority-Aware Hardware/Software Co-design for High-Throughput Graph Processing Acceleration.
ACM Trans. Archit. Code Optim., March, 2025

DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective.
CoRR, March, 2025

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.
CoRR, March, 2025

DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization.
Trans. Mach. Learn. Res., 2025

IIIM-SAM: Zero-Shot Texture Anomaly Detection Without External Prompts.
IEEE Trans Autom. Sci. Eng., 2025

A survey of multilingual large language models.
Patterns, 2025

Defect-LoRA: Controllable defect data augmentation based on low-rank adaptation for surface defect recognition under limited data.
Expert Syst. Appl., 2025

Container slot allocation policy in vessel pool alliance under stochastic demand.
Comput. Oper. Res., 2025

Conf-GNNRec: Quantifying and Calibrating the Prediction Confidence for GNN-based Recommendation Methods.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Accelerating Model Training on Ascend Chips: An Industrial System for Profiling, Analysis and Optimization.
Proceedings of the 2025 USENIX Annual Technical Conference, 2025

CSRec: Rethinking Sequential Recommendation from A Causal Perspective.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications.
Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Squeezing Operator Performance Potential for the Ascend Architecture.
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

Are LLMs Rational Investors? A Study on the Financial Bias in LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

An Algorithm to Retrieve Range Ocean Current Speed under Tropical Cyclone Conditions from Sentinel-1 Synthetic Aperture Radar Measurements Based on XGBoost.
Remote. Sens., September, 2024

Prior Knowledge-Augmented Meta-Learning for Fine-Grained Fault Diagnosis.
IEEE Trans. Ind. Informatics, June, 2024

Evolutionary neuron-level transfer learning for QoT estimation in optical networks.
J. Opt. Commun. Netw., March, 2024

Research on the control of supersonic jet under different boundary conditions.
J. Vis., February, 2024

Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental Learning.
IEEE Trans. Image Process., 2024

Machine Learning-Based Wind Direction Retrieval From Quad-Polarized Gaofen-3 SAR Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

MSSM-SCDNet: A Multiclass Semantic Change Detection Network Suitable for Coastal Areas Based on Multiband Spatial-spectral Attention Mechanism.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

VOJA-Net: Vector-Offset Joint Attention Network for ICESat-2 Point Cloud Data Denoising.
IEEE Geosci. Remote. Sens. Lett., 2024

CAISFormer: Channel-wise attention transformer for image steganography.
Neurocomputing, 2024

Continual Task Learning through Adaptive Policy Self-Composition.
CoRR, 2024

Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.
CoRR, 2024

Revisiting SLO and Goodput Metrics in LLM Serving.
CoRR, 2024

LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models.
CoRR, 2024

Multimodal Graph Benchmark.
CoRR, 2024

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.
CoRR, 2024

SilverSight: A Multi-Task Chinese Financial Large Language Model Based on Adaptive Semantic Space Learning.
CoRR, 2024

Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers.
CoRR, 2024

From Adoption to Adaption: Tracing the Diffusion of New Emojis on Twitter.
CoRR, 2024

Are Large Language Models Rational Investors?
CoRR, 2024

Invariance-powered Trustworthy Defense via Remove Then Restore.
CoRR, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.
CoRR, 2024

Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

A Parallel ADMM Approach for PAPR Reduction in Mixed-Numerology Systems.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

DERD: Data-free Adversarial Robustness Distillation through Self-adversarial Teacher Group.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Reprogramming Distillation for Medical Foundation Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Self-KT: Self-attentive Knowledge Tracing with Feature Fusion Pre-training in Online Education.
Proceedings of the International Joint Conference on Neural Networks, 2024

Emoji Promotes Developer Participation and Issue Resolution on GitHub.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

The exploration and practice of bid document review and risk identification algorithm in power enterprise bidding.
Proceedings of the 2024 International Conference on Cloud Computing and Big Data, 2024

Sans: Streaming Anonymized Network Sensing.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2024

R³-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Low-Rank Knowledge Decomposition for Medical Foundation Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
PMCT: Parallel Multiscale Convolutional Temporal model for MOOC dropout prediction.
Comput. Electr. Eng., December, 2023

Stochastic Gradient Perturbation: An Implicit Regularizer for Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

CNN autoencoders and LSTM-based reduced order model for student dropout prediction.
Neural Comput. Appl., October, 2023

Machine Learning Applied to a Dual-Polarized Sentinel-1 Image for Wind Retrieval of Tropical Cyclones.
Remote. Sens., August, 2023

Multi-expert attention network for long-term dam displacement prediction.
Adv. Eng. Informatics, August, 2023

Swin MAE: Masked autoencoders for small datasets.
Comput. Biol. Medicine, July, 2023

A hybrid model for predicting academic performance of engineering undergraduates.
Int. J. Model. Simul. Sci. Comput., April, 2023

Adversarial and Isotropic Gradient Augmentation for Image Retrieval With Text Feedback.
IEEE Trans. Multim., 2023

Deep Multimodal Fusion Model for Building Structural Type Recognition Using Multisource Remote Sensing Images and Building-Related Knowledge.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Efficient deployment of aerial relays in FSO-based backhaul networks.
JOCN, 2023

Sample-distribution-matching-based transfer learning for QoT estimation in optical networks.
JOCN, 2023

R<sup>3</sup>-NL2GQL: A Hybrid Models Approach for for Accuracy Enhancing and Hallucinations Mitigation.
CoRR, 2023

SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks.
CoRR, 2023

CGDC- LSTM: A novel hybrid neural network model for MOOC dropout prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023

MedCT-BERT: Multimodal Mortality Prediction using Medical ConvTransformer-BERT Model.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Scalable Prompt Generation for Semi-supervised Learning with Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

AFNFA: An Approach to Automate NCCL Configuration Exploration.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022
PushBox: Making Use of Every Bit of Time to Accelerate Completion of Data-Parallel Jobs.
IEEE Trans. Parallel Distributed Syst., 2022

Meet: Rack-Level Pooling Based Load Balancing in Datacenter Networks.
IEEE Trans. Parallel Distributed Syst., 2022

When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Cross-Modal Cross-Domain Dual Alignment Network for RGB-Infrared Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2022

TED: Two-stage expert-guided interpretable diagnosis framework for microvascular invasion in hepatocellular carcinoma.
Medical Image Anal., 2022

Experimental investigation on the transient process of jet deflection controlled by passive secondary flow.
J. Vis., 2022

#Emoji: A Study on the Association between Emojis and Hashtags on Twitter.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

MIFTP: A Multimodal Multi-Level Independent Fusion Framework with Improved Twin Pyramid for Multilabel Chest X-Ray Image Classification.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

AutoMine: An Unmanned Mine Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NF-BCSNet: A Normalizing Flow-based Network for Block-based Image Compressed Sensing.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

2021
Sending or not? A multimodal framework for Danmaku comment prediction.
Inf. Process. Manag., 2021

MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets.
CoRR, 2021

On the Robustness of Domain Adaption to Adversarial Attacks.
CoRR, 2021

Uncertainty-aware Incremental Learning for Multi-organ Segmentation.
CoRR, 2021

SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019
Intelligent Trader Model Based on Deep Reinforcement Learning.
Proceedings of the Web Information Systems and Applications, 2019

2018
Two-parameter process limits for infinite-server queues with dependent service times via chaining bounds.
Queueing Syst. Theory Appl., 2018

2017
On functional limit theorems for the cumulative times in alternating renewal processes.
Oper. Res. Lett., 2017

2016
(G/GI/N(+GI)) queues with service interruptions in the Halfin-Whitt regime.
Math. Methods Oper. Res., 2016

Falling protective method for humanoid robots using arm compliance to reduce damage.
Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

2014
Bipedal walking with toe-off, heel-strike and compliance with external disturbances.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014


  Loading...