Yucheng Zhou

Orcid: 0009-0006-9883-5621

Affiliations:
  • University of Macau, State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), Macau
  • University of Technology Sydney, School of Computer Science, Australian AI Institute, Sydney, Australia
  • Fudan University, Academic for Engineering and Technology, Shanghai, China


According to our database1, Yucheng Zhou authored at least 65 papers between 2021 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CogOmniControl: Reasoning-Driven Controllable Video Generation via Creative Intent Cognition.
CoRR, May, 2026

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore).
CoRR, May, 2026

Accelerating Training of Autoregressive Video Generation Models via Local Optimization with Representation Continuity.
CoRR, April, 2026

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation.
CoRR, April, 2026

Clinical Cognition Alignment for Gastrointestinal Diagnosis with Multimodal LLMs.
CoRR, March, 2026

HanMoVLM: Large Vision-Language Models for Professional Artistic Painting Evaluation.
CoRR, March, 2026

Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss.
CoRR, February, 2026

MindDialog: A large-scale benchmark for counseling dialogue understanding and generation.
Pattern Recognit., 2026

Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning.
Proceedings of the ACM Web Conference 2026, 2026

TheraMind: A Strategic and Adaptive Agent for Longitudinal Psychological Counseling.
Proceedings of the ACM Web Conference 2026, 2026

Compatibility-Aware Dynamic Fine-Tuning for Large Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Multimodal Large Language Models for Multi-Subject In-Context Image Generation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Sim4Seg: Boosting Multimodal Multi-disease Medical Diagnosis Segmentation with Region-Aware Vision-Language Similarity Masks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
From Human Intention to Action Prediction: A Comprehensive Benchmark for Intention-driven End-to-End Autonomous Driving.
CoRR, December, 2025

RVLF: A Reinforcing Vision-Language Framework for Gloss-Free Sign Language Translation.
CoRR, December, 2025

HiCoGen: Hierarchical Compositional Text-to-Image Generation in Diffusion Models via Reinforcement Learning.
CoRR, November, 2025

TheraMind: A Strategic and Adaptive Agent for Longitudinal Psychological Counseling.
CoRR, October, 2025

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models.
CoRR, August, 2025

Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation.
CoRR, May, 2025

Safety Alignment via Constrained Knowledge Unlearning.
CoRR, May, 2025

Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling.
CoRR, May, 2025

EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models.
CoRR, February, 2025

Training Medical Large Vision-Language Models with Abnormal-Aware Feedback.
CoRR, January, 2025

Alternate Geometric and Semantic Denoising Diffusion for Protein Inverse Folding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Weak to Strong Generalization for Large Language Models with Multi-capabilities.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Towards Stabilized and Efficient Diffusion Transformers Through Long-Skip-Connections With Spectral Constraints.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

InsectMamba: State Space Model with Adaptive Composite Features for Insect Recognition.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Impromptu Cybercrime Euphemism Detection.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Safety Alignment via Constrained Knowledge Unlearning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation.
ACM Trans. Softw. Eng. Methodol., June, 2024

Diffusion Model with Representation Alignment for Protein Inverse Folding.
CoRR, 2024

Accelerating Vision Diffusion Transformers with Skip Branches.
CoRR, 2024

Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models.
CoRR, 2024

MemoryMamba: Memory-Augmented State Space Model for Defect Recognition.
CoRR, 2024

InsectMamba: Insect Pest Classification with State Space Model.
CoRR, 2024

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution.
CoRR, 2024

Residual-based Language Models are Free Boosters for Biomedical Imaging.
CoRR, 2024

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Modal Inductive Framework for Text-Video Retrieval.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Visual In-Context Learning for Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Fine-Grained Distillation for Long Document Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Thread of Thought Unraveling Chaotic Contexts.
CoRR, 2023

Topic-Selective Graph Network for Topic-Focused Summarization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Disentangled and Robust Representation Learning for Bragging Classification in Social Media.
Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Cross-modal Alignment for Text-Guided Image Inpainting.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Multimodal Event Transformer for Image-guided Story Ending Generation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Style-Aware Contrastive Learning for Multi-Style Image Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Towards Robust Ranker for Text Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Fine-Grained Distillation for Long Document Retrieval.
CoRR, 2022

Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI.
CoRR, 2022

EventBERT: A Pre-Trained Model for Event Correlation Reasoning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Sketch Storytelling.
Proceedings of the IEEE International Conference on Acoustics, 2022

ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Triple Sequence Generative Adversarial Nets for Unsupervised Image Captioning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021


  Loading...