A new algorithm for automatic computation of solitary wave solutions to nonlinear partial differential equations based on the Exp-function method. - Lei Zhao; Dingjiang Huang; Shuigeng Zhou (Appl. Math. Comput., 2012)

Robust Median Reversion Strategy for On-Line Portfolio Selection. - Dingjiang Huang; Junlong Zhou; Bin Li 027; Steven C. H. Hoi; Shuigeng Zhou (IJCAI, 2013)

Semi-Universal Portfolios with Transaction Costs. - Dingjiang Huang; Yan Zhu 008; Bin Li 027; Shuigeng Zhou; Steven C. H. Hoi (IJCAI, 2015)

Robust Median Reversion Strategy for Online Portfolio Selection. - Dingjiang Huang; Junlong Zhou; Bin Li 027; Steven C. H. Hoi; Shuigeng Zhou (IEEE Trans. Knowl. Data Eng., 2016)

Lie Symmetry Classification of the Generalized Nonlinear Beam Equation. - Dingjiang Huang; Xiangxiang Li; Shunchang Yu (Symmetry, 2017)

Reduction Operators and Exact Solutions of Variable Coefficient Nonlinear Wave Equations with Power Nonlinearities. - Dingjiang Huang; Yan Zhu 008; Qinmin Yang (Symmetry, 2017)

Combination Forecasting Reversion Strategy for Online Portfolio Selection. - Dingjiang Huang; Shunchang Yu; Bin Li 027; Steven C. H. Hoi; Shuigeng Zhou (ACM Trans. Intell. Syst. Technol., 2018)

TCL: Tensor-CNN-LSTM for Travel Time Prediction with Sparse Trajectory Data. - Yibin Shen; Jiaxun Hua; Cheqing Jin; Dingjiang Huang (DASFAA (3), 2019)

StrokeNet: A Neural Painting Environment. - Ningyuan Zheng; Yifan Jiang; Dingjiang Huang (ICLR (Poster), 2019)

Statistical learning with group invariance: problem, method and consistency. - Weixia Xu; Dingjiang Huang; Shuigeng Zhou (Int. J. Mach. Learn. Cybern., 2019)

Universal consistency of twin support vector machines. - Weixia Xu; Dingjiang Huang; Shuigeng Zhou (Int. J. Mach. Learn. Cybern., 2021)

Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph. - Peng Zhu; Dawei Cheng; Fangzhou Yang; Yifeng Luo; Dingjiang Huang; Weining Qian; Aoying Zhou (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

TTPNet: A Neural Network for Travel Time Prediction Based on Tensor Decomposition and Graph Embedding. - Yibin Shen; Cheqing Jin; Jiaxun Hua; Dingjiang Huang (IEEE Trans. Knowl. Data Eng., 2022)

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Lei Yu; Youwei Li; Xinpeng Li 002; Ting Jiang; Qi Wu 017; Mingyan Han; Wenjie Lin; Chengzhi Jiang; et al. (CVPR Workshops, 2023)

Separable Modulation Network for Efficient Image Super-Resolution. - Zhijian Wu; Jun Li 033; Dingjiang Huang (ACM Multimedia, 2023)

SFHN: Spatial-Frequency Domain Hybrid Network for Image Super-Resolution. - Zhijian Wu; Wenhui Liu; Jun Li 033; Chang Xu 002; Dingjiang Huang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Ultralight-weight Binary Neural Network with 1K Parameters for Image Super-Resolution. - Zhijian Wu; Dingjiang Huang (ICME, 2024)

When Handcrafted Filter Meets CNN: A Lightweight Conv-Filter Mixer Network for Efficient Image Super-Resolution. - Zhijian Wu; Wenhui Liu; Dingjiang Huang (ICMR, 2024)

Compacter: A Lightweight Transformer for Image Restoration. - Zhijian Wu; Jun Li 033; Yang Hu; Dingjiang Huang (ACM Multimedia, 2024)

RUN: Rethinking the UNet Architecture for Efficient Image Restoration. - Zhijian Wu; Jun Li 033; Chang Xu 002; Dingjiang Huang; Steven C. H. Hoi (IEEE Trans. Multim., 2024)

NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Fengyuan Zhang; Lvli Tian; Longguang Wang; Juncheng Li 013; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; et al. (CVPR Workshops, 2025)

LFMix: A Lightweight Hybrid Architecture for Light Field Super-Resolution. - Mingyang Yu; Zhijian Wu; Dingjiang Huang (CVPR Workshops, 2025)

Federated Prototype Guided Adaption for Vision-Language Models. - Youchao Liu; Dingjiang Huang (ICASSP, 2025)

GCAT: Gated Convolutional Attention Transformer for Efficient Image Super-Resolution. - Zhijian Wu; Kaiyi Feng; Dingjiang Huang (ICASSP, 2025)

EvaSR: Rethinking Efficient Visual Attention Design for Image Super-Resolution. - Zhijian Wu; Chenhan Zhang; Dingjiang Huang (ICASSP, 2025)

Sparse personalized federated class-incremental learning. - Youchao Liu; Dingjiang Huang (Inf. Sci., 2025)

FrePrompter: Frequency self-prompt for all-in-one image restoration. - Zhijian Wu; Wenhui Liu; Jingchao Wang; Jun Li 033; Dingjiang Huang (Pattern Recognit., 2025)

Progressive Language-guided Visual Learning for Multi-Task Visual Grounding. - Jingchao Wang; Hong Wang 021; Wenlong Zhang; Kunhua Ji; Dingjiang Huang; Yefeng Zheng 001 (CoRR, 2025)

Adversarial Conservative Alternating Q-Learning for Credit Card Debt Collection. - Wenhui Liu; Jiapeng Zhu 002; Lyu Ni; Jingyu Bi; Zhijian Wu; Jiajie Long; Mengyao Gao; Dingjiang Huang; Shuigeng Zhou (IEEE Trans. Knowl. Data Eng., 2025)

Imagination-Limited Q-Learning for Offline Reinforcement Learning. - Wenhui Liu; Zhijian Wu; Jingchao Wang; Dingjiang Huang; Shuigeng Zhou (CoRR, 2025)

Learning Spectral Diffusion Prior for Hyperspectral Image Reconstruction. - Mingyang Yu; Zhijian Wu; Dingjiang Huang (CoRR, 2025)

Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decoder. - Jingchao Wang; Zhijian Wu; Dingjiang Huang; Yefeng Zheng 001; Hong Wang 021 (CoRR, 2025)