Adaptive Region Embedding for Text Classification. - Liuyu Xiang; Xiaoming Jin; Lan Yi; Guiguang Ding (AAAI, 2019)

Incremental Few-Shot Learning for Pedestrian Attribute Recognition. - Liuyu Xiang; Xiaoming Jin; Guiguang Ding; Jungong Han; Leida Li (IJCAI, 2019)

PANDA: A Gigapixel-Level Human-Centric Video Dataset. - Xueyang Wang; Xiya Zhang; Yinheng Zhu; Yuchen Guo; Xiaoyun Yuan; Liuyu Xiang; Zerun Wang; Guiguang Ding; David J. Brady; Qionghai Dai; Lu Fang 001 (CVPR, 2020)

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification. - Liuyu Xiang; Guiguang Ding; Jungong Han (ECCV (5), 2020)

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification. - Liuyu Xiang; Guiguang Ding (CoRR, 2020)

Increasing Oversampling Diversity for Long-Tailed Visual Recognition. - Liuyu Xiang; Guiguang Ding; Jungong Han (CICAI, 2021)

LODE: Deep Local Deblurring and A New Benchmark. - Zerun Wang; Liuyu Xiang; Fan Yang 083; Jinzhao Qian; Jie Hu 021; Haidong Huang; Jungong Han; Yuchen Guo; Guiguang Ding (CoRR, 2021)

ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. - Liuyu Xiang; Jundong Zhou; Jirui Liu; Zerun Wang; Haidong Huang; Jie Hu 021; Jungong Han; Yuchen Guo; Guiguang Ding (AAAI, 2022)

Long-tailed visual recognition with deep models: A methodological survey and evaluation. - Yu Fu 006; Liuyu Xiang; Yumna Zahid; Guiguang Ding; Tao Mei 001; Qiang Shen 001; Jungong Han (Neurocomputing, 2022)

Box-Level Active Detection. - Mengyao Lyu; Jundong Zhou; Hui Chen 013; Yijie Huang; Dongdong Yu; Yaqian Li; Yandong Guo; Yuchen Guo; Liuyu Xiang; Guiguang Ding (CVPR, 2023)

An Adaptive Prompt Generation Framework for Task-oriented Dialogue System. - Jun Gao; Liuyu Xiang; Huijia Wu; Han Zhao; Yiqi Tong; Zhaofeng He (EMNLP (Findings), 2023)

Generative Iris Prior Embedded Transformer for Iris Restoration. - Yubo Huang; Jia Wang; Peipei Li 002; Liuyu Xiang; Peigang Li; Zhaofeng He (ICME, 2023)

Online Open-set Semi-supervised Object Detection via Semi-supervised Outlier Filtering. - Zerun Wang; Ling Xiao 001; Liuyu Xiang; Zhaotian Weng; Toshihiko Yamasaki (CoRR, 2023)

Deep Reinforcement Learning with Multitask Episodic Memory Based on Task-Conditioned Hypernetwork. - Yonggang Jin; Chenxu Wang; Liuyu Xiang; Yaodong Yang 001; Jie Fu 001; Zhaofeng He (CoRR, 2023)

Margin-aware rectified augmentation for long-tailed recognition. - Liuyu Xiang; Jungong Han; Guiguang Ding (Pattern Recognit., 2023)

Debiased Novel Category Discovering and Localization. - Juexiao Feng; Yuhong Yang 008; Yanchun Xie; Yaqian Li; Yandong Guo; Yuchen Guo; Yuwei He; Liuyu Xiang; Guiguang Ding (AAAI, 2024)

SCOMatch: Alleviating Overtrusting in Open-Set Semi-supervised Learning. - Zerun Wang; Liuyu Xiang; Lang Huang 001; Jiafeng Mao; Ling Xiao 001; Toshihiko Yamasaki (ECCV (51), 2024)

Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction. - Yonggang Jin; Ge Zhang 009; Hao Zhao; Tianyu Zheng; Jiawei Guo; Liuyu Xiang; Shawn Yue; Stephen W. Huang; Wenhu Chen; Zhaofeng He; Jie Fu 001 (CoRR, 2024)

Dynamic Generation of Personalities with Large Language Models. - Jianzhi Liu; Hexiang Gu; Tianyu Zheng; Liuyu Xiang; Huijia Wu; Jie Fu; Zhaofeng He (CoRR, 2024)

CLIP model is an Efficient Online Lifelong Learner. - Leyuan Wang; Liuyu Xiang; Yujie Wei; Yunlong Wang; Zhaofeng He (CoRR, 2024)

Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective. - Leyuan Wang; Liuyu Xiang; Yunlong Wang; Huijia Wu; Zhaofeng He (CoRR, 2024)

From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data. - Zerun Wang; Jiafeng Mao; Liuyu Xiang; Toshihiko Yamasaki (CoRR, 2024)

GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models. - Leyan Wang; Yonggang Jin; Tianhao Shen; Tianyu Zheng; Xinrun Du; Chenchen Zhang; Wenhao Huang 001; Jiaheng Liu; Shi Wang 002; Ge Zhang 009; Liuyu Xiang; Zhaofeng He (CoRR, 2024)

RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop Games. - Yingzhuo Liu; Shuodi Liu; Hongsong Tang; Yubing Ma; Zikang Li; Junge Zhang; Liuyu Xiang; Zhaofeng He (AAMAS, 2025)

GraphDiffusion: A Graph-conditioned Diffusion Model for Chip Placement. - Siyuan Fang; Liuyu Xiang; Wei Li 032; Zhaofeng He (ISCAS, 2025)

Can large language models independently complete tasks? A dynamic evaluation framework for multi-turn task planning and completion. - Jun Gao; Junlin Cui; Huijia Wu; Liuyu Xiang; Han Zhao; Xiangang Li; Meng Fang; Yaodong Yang 001; Zhaofeng He (Neurocomputing, 2025)

Toward Real-World Remote Sensing Image Super-Resolution: A New Benchmark and an Efficient Model. - Jia Wang; Liuyu Xiang; Lei Liu; Jiaochong Xu; Peipei Li 002; Qizhi Xu; Zhaofeng He (IEEE Trans. Geosci. Remote. Sens., 2025)

FDNet: A Frequency-Aware Decomposition Network for Robust Face Super-Resolution Against Adversarial Attacks. - Jia Wang; Pei-Pei Li 002; Liuyu Xiang; Rui Wang 124; Zhili Zhang; Qing Tian; Zhaofeng He (IEEE Trans. Inf. Forensics Secur., 2025)

Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation. - Chenxu Wang; Yonggang Jin; Cheng Hu; Youpeng Zhao; Zipeng Dai; Jian Zhao 018; Shiyu Huang 001; Liuyu Xiang; Junge Zhang; Zhaofeng He (CoRR, 2025)

Distributed Policy Space Response Oracles in Two-Player Zero-Sum Games. - Hongsong Tang; Yingzhuo Liu; Letian Ni; Liuyu Xiang; Yaodong Yang 001; Ke Bi; Zhaofeng He (IEEE Trans. Neural Networks Learn. Syst., 2025)

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding. - Xiaojie Zhang; Yuanfei Wang; Ruihai Wu; Kunqi Xu; Yu Li; Liuyu Xiang; Hao Dong; Zhaofeng He (CoRR, 2025)

OmniPlay: Benchmarking Omni-Modal Models on Omni-Modal Game Playing. - Fuqing Bie; Shiyu Huang 001; Xijia Tao; Zhiqin Fang; Leyi Pan; Junzhe Chen 001; Min Ren; Liuyu Xiang; Zhaofeng He (CoRR, 2025)