Reference Based LSTM for Image Captioning. - Minghai Chen; Guiguang Ding; Sicheng Zhao; Hui Chen 013; Qiang Liu 016; Jungong Han (AAAI, 2017)

Temporal-Difference Learning With Sampling Baseline for Image Captioning. - Hui Chen 013; Guiguang Ding; Sicheng Zhao; Jungong Han (AAAI, 2018)

Attend to Knowledge: Memory-Enhanced Attention Network for Image Captioning. - Hui Chen 013; Guiguang Ding; Zijia Lin; Yuchen Guo; Jungong Han (BICS, 2018)

Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning. - Hui Chen 013; Guiguang Ding; Zijia Lin; Sicheng Zhao; Jungong Han (IJCAI, 2018)

GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. - Hui Chen 013; Zijia Lin; Guiguang Ding; Jianguang Lou; Yusen Zhang 003; Börje Karlsson 001 (AAAI, 2019)

An Adaptive MAC Layer Energy-Saving Algorithm for ZigBee-Enabled IoT Networks. - Yaxuan Zhang; Kun Yang 001; Hui Chen 013 (iSCI, 2019)

Cross-Modal Image-Text Retrieval with Semantic Consistency. - Hui Chen 013; Guiguang Ding; Zijia Lin; Sicheng Zhao; Jungong Han (ACM Multimedia, 2019)

PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression. - Sicheng Zhao; Zizhou Jia; Hui Chen 013; Leida Li; Guiguang Ding; Kurt Keutzer (ACM Multimedia, 2019)

Neural Image Caption Generation with Weighted Training and Reference. - Guiguang Ding; Minghai Chen; Sicheng Zhao; Hui Chen 013; Jungong Han; Qiang Liu 016 (Cogn. Comput., 2019)

Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources. - Qianhui Wu; Zijia Lin; Guoxin Wang; Hui Chen 013; Börje F. Karlsson; Biqing Huang; Chin-Yew Lin (AAAI, 2020)

A Consistent Address Allocation Algorithm Mitigating Address Conflict for Large-Scale LoRa-Enabled IoT Networks. - Xinyu Fan; Xiao Liang; Qiang Liu 016; Kun Yang 001; Hui Chen 013 (CSE, 2020)

IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. - Hui Chen 013; Guiguang Ding; Xudong Liu; Zijia Lin; Ji Liu 002; Jungong Han (CVPR, 2020)

ACMNet: Adaptive Confidence Matching Network for Human Behavior Analysis via Cross-modal Retrieval. - Hui Chen 013; Guiguang Ding; Zijia Lin; Sicheng Zhao; Xiaopeng Gu; Wenyuan Xu 001; Jungong Han (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Image Captioning with Memorized Knowledge. - Hui Chen 013; Guiguang Ding; Zijia Lin; Yuchen Guo; Caifeng Shan; Jungong Han (Cogn. Comput., 2021)

Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection. - Fan Yang 083; Xinhao Xu; Hui Chen 013; Yuchen Guo; Jungong Han; Kai Ni; Guiguang Ding (CoRR, 2022)

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels. - Zixuan Ding; Ao Wang; Hui Chen 013; Qiang Zhang 020; Pengzhang Liu; Yongjun Bao; Weipeng Yan; Jungong Han (CVPR, 2023)

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)

Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. - Yizhe Xiong; Hui Chen 013; Zijia Lin; Sicheng Zhao; Guiguang Ding (ICCV, 2023)

Consolidator: Mergable Adapter with Group Connections for Visual Adaptation. - Tianxiang Hao; Hui Chen 013; Yuchen Guo; Guiguang Ding (ICLR, 2023)

Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels. - Ao Wang; Hui Chen 013; Zijia Lin; Zixuan Ding; Pengzhang Liu; Yongjun Bao; Weipeng Yan; Guiguang Ding (ACM Multimedia, 2023)

Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation. - Tianxiang Hao; Hui Chen 013; Yuchen Guo; Guiguang Ding (CoRR, 2023)

RepViT: Revisiting Mobile CNN From ViT Perspective. - Ao Wang; Hui Chen 013; Zijia Lin; Hengjun Pu; Guiguang Ding (CoRR, 2023)

CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs. - Ao Wang; Hui Chen 013; Zijia Lin; Sicheng Zhao; Jungong Han; Guiguang Ding (CoRR, 2023)

InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models. - Zhenpeng Su; Xing Wu 002; Xue Bai; Zijia Lin; Hui Chen 013; Guiguang Ding; Wei Zhou 019; Songlin Hu 001 (CoRR, 2023)

RepViT-SAM: Towards Real-Time Segmenting Anything. - Ao Wang; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (CoRR, 2023)

Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model within 0.5K Parameters. - Tianxiang Hao; Mengyao Lyu; Hui Chen 013; Sicheng Zhao; Jungong Han; Guiguang Ding (CoRR, 2023)

GPro3D: Deriving 3D BBox from ground plane in monocular 3D object detection. - Fan Yang 083; Xinhao Xu; Hui Chen 013; Yuchen Guo; Yuwei He; Kai Ni; Guiguang Ding (Neurocomputing, 2023)

Geometry-Guided Domain Generalization for Monocular 3D Object Detection. - Fan Yang 083; Hui Chen 013; Yuwei He; Sicheng Zhao; Chenghao Zhang; Kai Ni; Guiguang Ding (AAAI, 2024)

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications. - Mengyao Lyu; Yuhong Yang 008; Haiwen Hong; Hui Chen 013; Xuan Jin; Yuan He 011; Hui Xue 001; Jungong Han; Guiguang Ding (CVPR, 2024)

Rep ViT: Revisiting Mobile CNN From ViT Perspective. - Ao Wang; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (CVPR, 2024)

Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. - Hui-Yue Yang; Hui Chen 013; Lihao Liu; Zijia Lin; Kai Chen; Liejun Wang; Jungong Han; Guiguang Ding (ECAI, 2024)

Quantized Prompt for Efficient Generalization of Vision-Language Models. - Tianxiang Hao; Xiaohan Ding; Juexiao Feng; Yuhong Yang 008; Hui Chen 013; Guiguang Ding (ECCV (19), 2024)

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence. - Mengyao Lyu; Tianxiang Hao; Xinhao Xu; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (ECCV (1), 2024)

PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation. - Yizhe Xiong; Hui Chen 013; Tianxiang Hao; Zijia Lin; Jungong Han; Yuesong Zhang; Guoxin Wang; Yongjun Bao; Guiguang Ding (ECCV (9), 2024)

A Simple Confidence-Supervised Model for High-Resolution Defect Recognition. - Hui-Yue Yang; Hui Chen 013; Fan Zhang; Xiang Tian; Luning Zhu; Guiguang Ding (ICRCA, 2024)

TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks. - Xinhao Xu; Hui Chen 013; Zijia Lin; Jungong Han; Lixing Gong; Guoxin Wang; Yongjun Bao; Guiguang Ding (IJCAI, 2024)

More is Better: Deep Domain Adaptation with Multiple Sources. - Sicheng Zhao; Hui Chen 013; Hu Huang 009; Pengfei Xu 013; Guiguang Ding (IJCAI, 2024)

Multi-Label Learning with Block Diagonal Labels. - Leqi Shen; Sicheng Zhao; Yifeng Zhang; Hui Chen 013; Jundong Zhou; Pengzhang Liu; Yongjun Bao; Guiguang Ding (ACM Multimedia, 2024)

MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models. - Zhenpeng Su; Zijia Lin; Bai Xue; Hui Chen 013; Guiguang Ding; Wei Zhou 019; Songlin Hu 001 (NAACL-HLT (Findings), 2024)

YOLOv10: Real-Time End-to-End Object Detection. - Ao Wang; Hui Chen 013; Lihao Liu; Kai Chen; Zijia Lin; Jungong Han; Guiguang Ding (NeurIPS, 2024)

Temporal Scaling Law for Large Language Models. - Yizhe Xiong; Xiansheng Chen; Xin Ye; Hui Chen 013; Zijia Lin; Haoran Lian; Jianwei Niu 002; Guiguang Ding (CoRR, 2024)

Scaffold-BPE: Enhancing Byte Pair Encoding with Simple and Effective Scaffold Token Removal. - Haoran Lian; Yizhe Xiong; Jianwei Niu 002; Shasha Mo; Zhenpeng Su; Zijia Lin; Peng Liu; Hui Chen 013; Guiguang Ding (CoRR, 2024)

MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts. - Zhenpeng Su; Zijia Lin; Xue Bai; Xing Wu 002; Yizhe Xiong; Haoran Lian; Guangyuan Ma; Hui Chen 013; Guiguang Ding; Wei Zhou 019; Songlin Hu 001 (CoRR, 2024)

LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image. - Fan Yang 083; Sicheng Zhao; Yanhao Zhang 001; Haoxiang Chen 007; Hui Chen 013; Wenbo Tang; Haonan Lu; Pengfei Xu 003; Zhenyu Yang; Jungong Han; Guiguang Ding (CoRR, 2024)

PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation. - Ao Wang; Hui Chen 013; Jianchao Tan; Kefeng Zhang; Xunliang Cai; Zijia Lin; Jungong Han; Guiguang Ding (CoRR, 2024)

[CLS] Token Tells Everything Needed for Training-free Efficient MLLMs. - Ao Wang; Fengyuan Sun; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (CoRR, 2024)

YOLO-UniOW: Efficient Universal Open-World Object Detection. - Lihao Liu; Juexiao Feng; Hui Chen 013; Ao Wang; Lin Song 002; Jungong Han; Guiguang Ding (CoRR, 2024)

Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal. - Haoran Lian; Yizhe Xiong; Jianwei Niu 002; Shasha Mo; Zhenpeng Su; Zijia Lin; Hui Chen 013; Jungong Han; Guiguang Ding (AAAI, 2025)

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning. - Hui-Yue Yang; Hui Chen 013; Ao Wang; Kai Chen; Zijia Lin; Yongliang Tang; Pengcheng Gao; Yuming Quan; Jungong Han; Guiguang Ding (AAAI, 2025)

Extending LLM Context Window with Adaptive Grouped Positional Encoding: A Training-Free Method. - Xinhao Xu; Jiaxin Li; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (ACL (1), 2025)

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models. - Haoran Lian; Junmin Chen; Wei Huang; Yizhe Xiong; Wenping Hu; Guiguang Ding; Hui Chen 013; Jianwei Niu 002; Zijia Lin; Fuzheng Zhang; Di Zhang (COLING, 2025)

LSNet: See Large, Focus Small. - Ao Wang; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (CVPR, 2025)

LBPE: Long-token-first Tokenization to Improve Large Language Models. - Haoran Lian; Yizhe Xiong; Zijia Lin; Jianwei Niu 002; Shasha Mo; Hui Chen 013; Peng Liu; Guiguang Ding (ICASSP, 2025)

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts. - Zhenpeng Su; Xing Wu 002; Zijia Lin; Yizhe Xiong; Minxuan Lv; Guangyuan Ma; Hui Chen 013; Songlin Hu 001; Guiguang Ding (NAACL (Long Papers), 2025)

Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding. - Xinhao Xu; Hui Chen 013; Mengyao Lyu; Sicheng Zhao; Yizhe Xiong; Zijia Lin; Jungong Han; Guiguang Ding (NAACL (Long Papers), 2025)

Multi-source multi-modal domain adaptation. - Sicheng Zhao; Jing Jiang; Wenbo Tang; Jiankun Zhu; Hui Chen 013; Pengfei Xu 001; Björn W. Schuller; Jianhua Tao 001; Hongxun Yao; Guiguang Ding (Inf. Fusion, 2025)

Cross-Modality Prompts: Few-Shot Multi-Label Recognition With Single-Label Training. - Zixuan Ding; Zihan Zhou; Hui Chen 013; Tianxiang Hao; Yizhe Xiong; Sicheng Zhao; Qiang Zhang 020; Jungong Han (IEEE Trans. Multim., 2025)

UniAttn: Reducing Inference Costs via Softmax Unification for Post-Training LLMs. - Yizhe Xiong; Wei Huang; Xin Ye; Hui Chen 013; Zijia Lin; Haoran Lian; Zhenpeng Su; Jungong Han; Guiguang Ding (CoRR, 2025)

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs. - Minxuan Lv; Zhenpeng Su; Leiyu Pan; Yizhe Xiong; Zijia Lin; Hui Chen 013; Wei Zhou 019; Jungong Han; Guiguang Ding; Cheng Luo; Di Zhang; Kun Gai; et al. (CoRR, 2025)

Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts. - Leiyu Pan; Zhenpeng Su; Minxuan Lv; Yizhe Xiong; Xiangwen Zhang; Zijia Lin; Hui Chen 013; Jungong Han; Guiguang Ding; Cheng Luo; Di Zhang; Kun Gai; et al. (CoRR, 2025)

YOLOE: Real-Time Seeing Anything. - Ao Wang; Lihao Liu; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (CoRR, 2025)

Cream of the Crop: Harvesting Rich, Scalable and Transferable Multi-Modal Data for Instruction Fine-Tuning. - Mengyao Lyu; Yan Li; Huasong Zhong; Wenhao Yang; Hui Chen 013; Jungong Han; Guiguang Ding; Zhenheng Yang (CoRR, 2025)

Fast Quiet-STaR: Thinking Without Thought Tokens. - Wei Huang; Yizhe Xiong; Xin Ye; Zhijie Deng; Hui Chen 013; Zijia Lin; Guiguang Ding (CoRR, 2025)

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models. - Fengyuan Sun; Leqi Shen; Hui Chen 013; Sicheng Zhao; Jungong Han; Guiguang Ding (CoRR, 2025)

Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations. - Yiwen Liang; Hui Chen 013; Yizhe Xiong; Zihan Zhou; Mengyao Lyu; Zijia Lin; Shuaicheng Niu; Sicheng Zhao; Jungong Han; Guiguang Ding (CoRR, 2025)

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation. - Yizhe Xiong; Zihan Zhou; Yiwen Liang; Hui Chen 013; Zijia Lin; Tianxiang Hao; Fan Zhang; Jungong Han; Guiguang Ding (CoRR, 2025)