Liuyu Xiang

Orcid: 0000-0001-8486-6255

According to our database1, Liuyu Xiang authored at least 50 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID.
CoRR, April, 2026

Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis.
CoRR, February, 2026

Simulation-Free PSRO: Removing Game Simulation from Policy Space Response Oracles.
CoRR, January, 2026

Rethinking Class-Incremental Learning From a Dynamic Imbalanced Learning Perspective.
IEEE Trans. Multim., 2026

Symmetric Image-Text Tuning With Entropy-Guided Fusion for Online Continual Learning in Non-Stationary Visual Streams.
IEEE Trans. Image Process., 2026

RainbowArena: A multi-agent toolkit for reinforcement learning and large language models in tabletop games.
Knowl. Based Syst., 2026

Knowledge-guided policy arbitration: A hierarchical cognitive framework for safety-critical decision-making under dynamic conflicting objectives.
Expert Syst. Appl., 2026

A reinforcement learning-based approach for offline and online multi-line bus scheduling problem.
Appl. Soft Comput., 2026

2025
Unlocking the Address Book: Dissecting the Sparse Semantic Structure of LLM Key-Value Caches via Sparse Autoencoders.
CoRR, December, 2025

DrlGoFPGA: FPGA Global Placement Considering Input-Output Buffer Based on Deep Reinforcement Learning and Gradient Optimization.
IEEE Trans. Circuits Syst. I Regul. Pap., November, 2025

Beyond Darkness: Thermal-Supervised 3D Gaussian Splatting for Low-Light Novel View Synthesis.
CoRR, November, 2025

GUI Knowledge Bench: Revealing the Knowledge Gap Behind VLM Failures in GUI Tasks.
CoRR, October, 2025

Toward Realistic Hierarchical Object Detection: Problem, Benchmark, and Solution.
IEEE Trans. Circuits Syst. Video Technol., September, 2025

Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation.
CoRR, September, 2025

Do MLLMs Really Understand the Charts?
CoRR, September, 2025

OmniPlay: Benchmarking Omni-Modal Models on Omni-Modal Game Playing.
CoRR, August, 2025

Distributed Policy Space Response Oracles in Two-Player Zero-Sum Games.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation.
CoRR, June, 2025

FDNet: A Frequency-Aware Decomposition Network for Robust Face Super-Resolution Against Adversarial Attacks.
IEEE Trans. Inf. Forensics Secur., 2025

Toward Real-World Remote Sensing Image Super-Resolution: A New Benchmark and an Efficient Model.
IEEE Trans. Geosci. Remote. Sens., 2025

Generalizable agent modeling for agent collaboration-competition adaptation with multi-retrieval and dynamic generation.
Neurocomputing, 2025

Can large language models independently complete tasks? A dynamic evaluation framework for multi-turn task planning and completion.
Neurocomputing, 2025

GraphDiffusion: A Graph-conditioned Diffusion Model for Chip Placement.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop Games.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

FoodWeight1.4M: A Large-scale Multi-modal Dataset for Weight Estimation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Adaptive Articulated Object Manipulation on the Fly with Foundation Model Reasoning and Part Grounding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models.
CoRR, 2024

From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data.
CoRR, 2024

Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective.
CoRR, 2024

CLIP model is an Efficient Online Lifelong Learner.
CoRR, 2024

Dynamic Generation of Personalities with Large Language Models.
CoRR, 2024

Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction.
CoRR, 2024

SCOMatch: Alleviating Overtrusting in Open-Set Semi-supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Debiased Novel Category Discovering and Localization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Margin-aware rectified augmentation for long-tailed recognition.
Pattern Recognit., September, 2023

Deep Reinforcement Learning with Multitask Episodic Memory Based on Task-Conditioned Hypernetwork.
CoRR, 2023

Online Open-set Semi-supervised Object Detection via Semi-supervised Outlier Filtering.
CoRR, 2023

Generative Iris Prior Embedded Transformer for Iris Restoration.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

An Adaptive Prompt Generation Framework for Task-oriented Dialogue System.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Box-Level Active Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Long-tailed visual recognition with deep models: A methodological survey and evaluation.
Neurocomputing, 2022

ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
LODE: Deep Local Deblurring and A New Benchmark.
CoRR, 2021

Increasing Oversampling Diversity for Long-Tailed Visual Recognition.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification.
CoRR, 2020

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification.
Proceedings of the Computer Vision - ECCV 2020, 2020

PANDA: A Gigapixel-Level Human-Centric Video Dataset.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Region Embedding for Text Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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