Confidence-based human action recognition with different-level features. - Xian Hu; Yongcheng Jing (ICMLC, 2016)

Towards Deeper Insights into Deep Learning from Imbalanced Data. - Jie Song 011; Yun Shen; Yongcheng Jing; Mingli Song (CCCV (1), 2017)

Graph-based color Gamut Mapping using neighbor metric. - Zunlei Feng; Yongcheng Jing; Chengyi Zhang; Rui Xu; Jie Lei 002; Mingli Song (ICME, 2017)

Neural Style Transfer: A Review. - Yongcheng Jing; Yezhou Yang; Zunlei Feng; Jingwen Ye; Mingli Song (CoRR, 2017)

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. - Yongcheng Jing; Yang Liu 212; Yezhou Yang; Zunlei Feng; Yizhou Yu; Dacheng Tao; Mingli Song (ECCV (13), 2018)

Finer-Net: Cascaded Human Parsing with Hierarchical Granularity. - Jingwen Ye; Zunlei Feng; Yongcheng Jing; Mingli Song (ICME, 2018)

Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition. - Zunlei Feng; Zhenyun Yu; Yezhou Yang; Yongcheng Jing; Junxiao Jiang; Mingli Song (ICMR, 2018)

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. - Yongcheng Jing; Yang Liu 212; Yezhou Yang; Zunlei Feng; Yizhou Yu; Mingli Song (CoRR, 2018)

Interpretable Partitioned Embedding for Customized Fashion Outfit Composition. - Zunlei Feng; Zhenyun Yu; Yezhou Yang; Yongcheng Jing; Junxiao Jiang; Mingli Song (CoRR, 2018)

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. - Jianrui Cai; Shuhang Gu; Radu Timofte; Lei Zhang 006; Xiao Liu 022; Yukang Ding; Dongliang He; Chao Li 034; Yi Fu; Shilei Wen; Ruicheng Feng; Jinjin Gu; et al. (CVPR Workshops, 2019)

Interpretable Partitioned Embedding for Intelligent Multi-item Fashion Outfit Composition. - Zunlei Feng; Zhenyun Yu; Yongcheng Jing; Sai Wu; Mingli Song; Yezhou Yang; Junxiao Jiang (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Dynamic Instance Normalization for Arbitrary Style Transfer. - Yongcheng Jing; Xiao Liu 022; Yukang Ding; Xinchao Wang; Errui Ding; Mingli Song; Shilei Wen (AAAI, 2020)

Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance. - Jingwen Ye; Yongcheng Jing; Xinchao Wang; Kairi Ou; Dacheng Tao; Mingli Song (IEEE Trans. Image Process., 2020)

Neural Style Transfer: A Review. - Yongcheng Jing; Yezhou Yang; Zunlei Feng; Jingwen Ye; Yizhou Yu; Mingli Song (IEEE Trans. Vis. Comput. Graph., 2020)

Turning Frequency to Resolution: Video Super-Resolution via Event Cameras. - Yongcheng Jing; Yiding Yang; Xinchao Wang; Mingli Song; Dacheng Tao (CVPR, 2021)

Amalgamating Knowledge From Heterogeneous Graph Neural Networks. - Yongcheng Jing; Yiding Yang; Xinchao Wang; Mingli Song; Dacheng Tao (CVPR, 2021)

Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. - Yongcheng Jing; Yiding Yang; Xinchao Wang; Mingli Song; Dacheng Tao (ICCV, 2021)

Learning Graph Neural Networks for Image Style Transfer. - Yongcheng Jing; Yining Mao; Yiding Yang; Yibing Zhan; Mingli Song; Xinchao Wang; Dacheng Tao (ECCV (7), 2022)

Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning. - Wenwen Pan 003; Yanling Yin; Xinchao Wang; Yongcheng Jing; Mingli Song (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Han Zhou 003; Wei Dong 010; Yangyi Liu; Jun Chen 005; Huan Liu 014; Liangyan Li; Zijun Wu; Yubo Dong; et al. (CVPR Workshops, 2023)

Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. - Marcos V. Conde; Manuel Kolmet; Tim Seizinger; Tom E. Bishop; Radu Timofte; Xiangyu Kong; Dafeng Zhang; Jinlong Wu; Fan Wang 005; Juewen Peng; Zhiyu Pan; Chengxin Liu; et al. (CVPR Workshops, 2023)

Deep Graph Reprogramming. - Yongcheng Jing; Chongbin Yuan; Li Ju; Yiding Yang; Xinchao Wang; Dacheng Tao (CVPR, 2023)

NTIRE 2023 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Radu Timofte; Shuhao Cui; Junshi Huang; Shuman Tian; Mingyuan Fan 002; Jiaqi Zhang; Li Zhu 003; Xiaoming Wei; Xiaolin Wei; Ziwei Luo; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Ming Cheng 002; Haoyu Ma; Qiufang Ma; Xiaopeng Sun; Shijie Zhao 001; Xuhan Sheng; et al. (CVPR Workshops, 2023)

Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. - Qihan Huang; Mengqi Xue; Wenqi Huang 002; Haofei Zhang; Jie Song 011; Yongcheng Jing; Mingli Song (ICCV, 2023)

Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning. - Wenxiang Xu; Yongcheng Jing; Linyun Zhou; Wenqi Huang 002; Lechao Cheng; Zunlei Feng; Mingli Song (ICONIP (4), 2023)

Segment Anything in Non-Euclidean Domains: Challenges and Opportunities. - Yongcheng Jing; Xinchao Wang; Dacheng Tao (CoRR, 2023)

Connectivity-Faithful Graph Drawing. - Amyra Meidiana; Seok-Hee Hong 001; Yongcheng Jing (GD, 2024)

Deep Graph Mating. - Yongcheng Jing; Seok-Hee Hong 001; Dacheng Tao (NeurIPS, 2024)

Dynamic Parallel Tree Search for Efficient LLM Reasoning. - Yifu Ding; Wentao Jiang; Shunyu Liu 001; Yongcheng Jing; Jinyang Guo; Yingjie Wang; Jing Zhang; Zengmao Wang; Ziwei Liu 002; Bo Du 001; Xianglong Liu 001; Dacheng Tao (ACL (1), 2025)

New Quality Metrics for Connectivity-faithful Sampling and Drawing of Dynamic Graphs. - Amyra Meidiana; Seok-Hee Hong 001; Yongcheng Jing (PacificVis, 2025)

HRP: High-Rank Preheating for Superior LoRA Initialization. - Yuzhu Chen; Yingjie Wang 007; Shi Fu; Li Shen 008; Yongcheng Jing; Xinmei Tian 001; Dacheng Tao (CoRR, 2025)

Dynamic Parallel Tree Search for Efficient LLM Reasoning. - Yifu Ding; Wentao Jiang; Shunyu Liu 001; Yongcheng Jing; Jinyang Guo; Yingjie Wang; Jing Zhang 037; Zengmao Wang; Ziwei Liu 002; Bo Du 001; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)

Erasing Without Remembering: Safeguarding Knowledge Forgetting in Large Language Models. - Huazheng Wang; Yongcheng Jing; Haifeng Sun 001; Yingjie Wang; Jingyu Wang 001; Jianxin Liao; Dacheng Tao (CoRR, 2025)

Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG. - Wenbin Wang; Yongcheng Jing; Liang Ding 006; Yingjie Wang; Li Shen 008; Yong Luo 002; Bo Du 001; Dacheng Tao (CoRR, 2025)

Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning. - Wenjie Wu; Yongcheng Jing; Yingjie Wang 007; Wenbin Hu 001; Dacheng Tao (CoRR, 2025)

Benchmarking Reasoning Robustness in Large Language Models. - Tong Yu; Yongcheng Jing; Xikun Zhang 002; Wentao Jiang; Wenjie Wu; Yingjie Wang; Wenbin Hu 001; Bo Du 001; Dacheng Tao (CoRR, 2025)