Random forest model identifies serve strength as a key predictor of tennis match outcome. - Zijian Gao; Amanda Kowalczyk (CoRR, 2019)

Security-Driven hybrid collaborative recommendation method for cloud-based iot services. - Shunmei Meng; Zijian Gao; Qianmu Li; Hao Wang 003; Hong-Ning Dai; Lianyong Qi (Comput. Secur., 2020)

The Imaging of Magnetic Nanoparticles with Low-power Magnetoacoustic Tomography. - Zijian Gao; Peng Ge; Yifei Xu; Xiaopeng Yu; Feng Gao 021; Fei Gao 010 (EMBC, 2021)

Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms. - Ning Yang; Qi Lu; Kele Xu; Bo Ding; Zijian Gao (IJCNN, 2021)

Batch Weighted Nuclear-Norm Minimization for Medical Image Sequence Segmentation. - Kele Xu; Zijian Gao; Jilong Wang 007; Yang Wen; Ming Feng; Changjian Wang; Yin Wang (ISBRA, 2021)

KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning. - Zijian Gao; Kele Xu; Bo Ding; Huaimin Wang; Yiying Li; Hongda Jia (CoRR, 2021)

KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning. - Zijian Gao; Kele Xu; Bo Ding; Huaimin Wang; Yiying Li; Hongda Jia (CoRR, 2021)

Coarse to Fine: Video Retrieval before Moment Localization. - Zijian Gao; Huanyu Liu; Jingyu Liu (CoRR, 2021)

CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval. - Zijian Gao; Jingyu Liu; Sheng Chen; Dedan Chang; Hao Zhang; Jinwei Yuan (CoRR, 2021)

KnowRU: Knowledge Reuse via Knowledge Distillation in Multi-Agent Reinforcement Learning. - Zijian Gao; Kele Xu; Bo Ding; Huaimin Wang (Entropy, 2021)

MSEC: Multi-Scale Erasure and Confusion for fine-grained image classification. - Yan Zhang 106; Yongsheng Sun; Nian Wang 002; Zijian Gao; Feng Chen; Chenfei Wang; Jun Tang 007 (Neurocomputing, 2021)

FPGA Acceleration of Image Reconstruction for Real-Time Photoacoustic Tomography. - Zijian Gao; Yuting Shen; Daohuai Jiang; Fengyu Liu; Feng Gao 021; Fei Gao 010 (CoRR, 2022)

Nuclear Norm Maximization Based Curiosity-Driven Learning. - Chao Chen; Zijian Gao; Kele Xu; Sen Yang 003; Yiying Li; Bo Ding; Dawei Feng; Huaimin Wang (CoRR, 2022)

Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration. - Zijian Gao; Kele Xu; Yiying Li; Yuanzhao Zhai; Dawei Feng; Bo Ding; XinJun Mao; Huaimin Wang (CoRR, 2022)

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. - Zijian Gao; Kele Xu; Hengxing Cai; Yuanzhao Zhai; Dawei Feng; Bo Ding; XinJun Mao; Huaimin Wang (CoRR, 2022)

DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. - Ruhan Liu; Xiangning Wang; Qiang Wu; Ling Dai; Xi Fang; Tao Yan; Jaemin Son; Shiqi Tang; Jiang Li 001; Zijian Gao; Adrian Galdran; J. M. Poorneshwaran; et al. (Patterns, 2022)

Complementary Learning System Based Intrinsic Reward in Reinforcement Learning. - Zijian Gao; Kele Xu; Hongda Jia; Tianjiao Wan; Bo Ding; Dawei Feng; Xinjun Mao; Huaimin Wang (ICASSP, 2023)

Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization. - Yuanzhao Zhai; Kele Xu; Bo Ding; Dawei Feng; Zijian Gao; Huaimin Wang (ICASSP, 2023)

Scheduling Optimization of Multiple Cranes with Multiple Blocks in Container Yards Based on SAA and GA. - Liangyong Chu; Zijian Gao; Xiaowei Xu; Shujuan Li; Yifei Yao; Kaiwen Niu (SmartIoT, 2023)

Multi-scale confusion and filling mechanism for pressure footprint recognition. - Yan Zhang 106; Yongsheng Sun; Nian Wang 002; Zijian Gao; Jing Zhu; Jun Tang 007 (Neural Comput. Appl., 2023)

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. - Yuanzhao Zhai; Yiying Li; Zijian Gao; Xudong Gong; Kele Xu; Dawei Feng; Bo Ding; Huaimin Wang (AAAI, 2024)

Temporal Inconsistency-Based Active Learning. - Tianjiao Wan; Yutao Dou; Kele Xu; Zijian Gao; Bo Ding; Dawei Feng; Huaimin Wang (ICASSP, 2024)

Tracing Training Progress: Dynamic Influence Based Selection for Active Learning. - Tianjiao Wan; Kele Xu; Long Lan; Zijian Gao; Dawei Feng; Bo Ding; Huaimin Wang (ACM Multimedia, 2024)

Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks. - Zijian Gao; Xingxing Zhang; Kele Xu; Xinjun Mao; Huaimin Wang (NeurIPS, 2024)

Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior. - Chaoxing Huang; Ziqiang Yu; Zijian Gao; Qiuyi Shen; Queenie Chan; Vincent Wai-Sun Wong; Winnie Chiu Wing Chu; Weitian Chen (CoRR, 2024)

Exploring structure diversity in atomic resolution microscopy with graph neural networks. - Zheng Luo; Ming Feng; Zijian Gao; Jinyang Yu; Liang Hu; Tao Wang 006; Shenao Xue; Shen Zhou; Fangping Ouyang; Dawei Feng; Kele Xu; Shanshan Wang (CoRR, 2024)

AudioCIL: A Python Toolbox for Audio Class-Incremental Learning with Multiple Scenes. - Qisheng Xu; Yulin Sun; Yi Su 010; Qian Zhu; Xiaoyi Tan; Hongyu Wen; Zijian Gao; Kele Xu; Yong Dou; Dawei Feng (CoRR, 2024)

Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning. - Zijian Gao; Kele Xu; Huiping Zhuang; Li Liu 036; Xinjun Mao; Bo Ding; Dawei Feng; Huaimin Wang (Neural Networks, 2024)

C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems. - Hongda Jia; Zijian Gao; Cheng Yang; Bo Ding; Yuanzhao Zhai; Huaimin Wang (IEEE Robotics Autom. Lett., 2024)

Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning. - Zijian Gao; Yiying Li; Kele Xu; Yuanzhao Zhai; Bo Ding; Dawei Feng; Xinjun Mao; Huaimin Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning. - Chao Chen; Yuanzhao Zhai; Zijian Gao; Kele Xu; Sen Yang 003; Yiying Li; Bo Ding; Dawei Feng; Huaimin Wang (IEEE Trans. Artif. Intell., 2024)

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. - Zijian Gao; Kele Xu; Yuanzhao Zhai; Bo Ding; Dawei Feng; Xinjun Mao; Huaimin Wang (IEEE Trans. Artif. Intell., 2024)

Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning. - Zijian Gao; Shanhao Han; Xingxing Zhang; Kele Xu; Dulan Zhou; Xinjun Mao; Yong Dou; Huaimin Wang (AAAI, 2025)

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results. - Lei Sun 016; Andrea Alfarano; Peiqi Duan; Shaolin Su; Kaiwei Wang; Boxin Shi; Radu Timofte; Danda Pani Paudel; Luc Van Gool; Qinglin Liu; Wei Yu; Xiaoqian Lv; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Night Photography Rendering. - Egor I. Ershov; Sergey Korchagin; Aleksei Khalin; Artyom Panshin; Arseniy P. Terekhin; Ekaterina Zaychenkova; Georgiy Lobarev; Vsevolod Plokhotnyuk; Denis Abramov; Elisey Zhdanov; Sofia Dorogova; Yasin Mamedov; et al. (CVPR Workshops, 2025)

Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning. - Zijian Gao; Wangwang Jia; Xingxing Zhang; Dulan Zhou; Kele Xu; Dawei Feng; Yong Dou; Xinjun Mao; Huaimin Wang (CVPR, 2025)

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment. - Shuhao Han; Haotian Fan; Fangyuan Kong; Wenjie Liao; Chunle Guo; Chongyi Li; Radu Timofte; Liang Li; Tao Li; Junhui Cui; Yunqiu Wang; Yang Tai; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Zhe Zhang; Yang Yang 009; Wu Chen; Anlong Ming; et al. (CVPR Workshops, 2025)

NTIRE 2025 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Cailan Chen; Zongwei Wu; Radu Timofte; Mingjia Li 001; Jin Hu; Hainuo Wang; Hengxing Liu; Jiarui Wang; Qiming Hu; et al. (CVPR Workshops, 2025)

Complementary Learning System Theory-based Active Learning for Audio Classification. - Hui Geng; Zijian Gao; Tianjiao Wan; Dawei Feng; Changjian Wang; Kele Xu (ICASSP, 2025)

Text-guided Multimodal Fusion for the Multimodal Emotion and Intent Joint Understanding. - Yu Zhang; Bin Chen 006; Hongfei Ye; Zijian Gao; Tianjiao Wan; Long Lan; Kele Xu (ICASSP, 2025)

SSAST-Adapter: A Parameter-efficient Incremental Learning Algorithm for Underwater Acoustic Target Recognition. - Qian Zhu; Qisheng Xu; Boqing Zhu; Zijian Gao; Lingbin Zeng; Kele Xu (ICASSP, 2025)

Self-supervised Bidirectional Synchronization Estimation for Multimodal Deepfake Detection with Short-term Dependency. - Man Xiao; Jianbin Ye; Bo Liu 014; Zijian Gao; Kele Xu; Xiaodong Wang (ICMR, 2025)

Coarse-to-fine hybrid network for robust medical image registration in the presence of large deformations. - Dong Chen; Zijian Gao; Jing Liu 023; Tao Song; Lijuan Li; Liang Tian (Biomed. Signal Process. Control., 2025)

A missing multimodal imputation diffusion model for 2D X-ray and 3D CT in COVID-19 diagnosis. - Zijian Gao; Dong Chen; Yiqing Shen 003 (Expert Syst. Appl., 2025)

Correlation-Based Knowledge Distillation in Exemplar-Free Class-Incremental Learning. - Zijian Gao; Bo Liu 014; Kele Xu; Xinjun Mao; Huaimin Wang (IEEE Open J. Comput. Soc., 2025)

Dual Temporal Masked Modeling for KPI Anomaly Detection via Similarity Aggregation. - Ting Yu; Zijian Gao; Kele Xu; Xu Wang 064; Peichang Shi; Bo Ding; Dawei Feng (IEEE Trans. Netw. Serv. Manag., 2025)

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results. - Lei Sun 016; Andrea Alfarano; Peiqi Duan; Shaolin Su; Kaiwei Wang; Boxin Shi; Radu Timofte; Danda Pani Paudel; Luc Van Gool; Qinglin Liu; Wei Yu; Xiaoqian Lv; et al. (CoRR, 2025)

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment. - Shuhao Han; Haotian Fan; Fangyuan Kong; Wenjie Liao; Chunle Guo; Chongyi Li; Radu Timofte; Liang Li; Tao Li; Junhui Cui; Yunqiu Wang; Yang Tai; et al. (CoRR, 2025)

NTIRE 2025 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Cailian Chen; Zongwei Wu; Radu Timofte; Mingjia Li 001; Jin Hu; Hainuo Wang; Hengxing Liu; Jiarui Wang; Qiming Hu; et al. (CoRR, 2025)