Yongcheng Jing

According to our database, Yongcheng Jing authored at least 49 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Distillation Traps and Guards: A Calibration Knob for LLM Distillability.

Weixiao Zhan, Yongcheng Jing, Leszek Rutkowski, Dacheng Tao

CoRR, April, 2026

BadCLIP++: Stealthy and Persistent Backdoors in Multimodal Contrastive Learning.

Siyuan Liang, Yongcheng Jing, Yingjie Wang, Jiaxing Huang, Ee-Chien Chang, Dacheng Tao

CoRR, February, 2026

MedCoG: Maximizing LLM Inference Density in Medical Reasoning via Meta-Cognitive Regulation.

Yu Zhao, Hao Guan, Yongcheng Jing, Ying Zhang, Dacheng Tao

CoRR, February, 2026

Disentangled Representation Learning via Flow Matching.

Jinjin Chi, Taoping Liu, Mengtao Yin, Ximing Li, Yongcheng Jing, Dacheng Tao

CoRR, February, 2026

SPA-Cache: Singular Proxies for Adaptive Caching in Diffusion Language Models.

Wenhao Sun, Rong-Cheng Tu, Yifu Ding, Zhao Jin, Jingyi Liao, Yongcheng Jing, Dacheng Tao

CoRR, February, 2026

VTC-R1: Vision-Text Compression for Efficient Long-Context Reasoning.

Yibo Wang, Yongcheng Jing, Shunyu Liu, Hao Guan, Rong-Cheng Tu, Chengyu Wang, Jun Huang, Dacheng Tao

CoRR, January, 2026

DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation.

Yibo Wang, Lei Wang, Yue Deng, Keming Wu, Yao Xiao, Huanjin Yao, Liwei Kang, Hai Ye, Yongcheng Jing, Lidong Bing

CoRR, January, 2026

Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation.

Huazheng Wang, Yongcheng Jing, Haifeng Sun, Jingyu Wang, Jianxin Liao, Leszek Rutkowski, Dacheng Tao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ClusIR: Towards Cluster-Guided All-in-One Image Restoration.

Shengkai Hu, Jiaqi Ma, Jun Wan, Wenwen Min, Yongcheng Jing, Lefei Zhang, Dacheng Tao

CoRR, December, 2025

A Survey on Agentic Multimodal Large Language Models.

Huanjin Yao, Ruifei Zhang, Jiaxing Huang, Jingyi Zhang, Yibo Wang, Bo Fang, Ruolin Zhu, Yongcheng Jing, Shunyu Liu, Guanbin Li, Dacheng Tao

CoRR, October, 2025

EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models.

Botai Yuan, Yutian Zhou, Yingjie Wang, Fushuo Huo, Yongcheng Jing, Li Shen, Ying Wei, Zhiqi Shen, Ziwei Liu, Tianwei Zhang, Jie Yang, Dacheng Tao

CoRR, September, 2025

CoVeR: Conformal Calibration for Versatile and Reliable Autoregressive Next-Token Prediction.

Yuzhu Chen, Yingjie Wang, Shunyu Liu, Yongcheng Jing, Dacheng Tao

CoRR, September, 2025

Benchmarking Reasoning Robustness in Large Language Models.

Tong Yu, Yongcheng Jing, Xikun Zhang, Wentao Jiang, Wenjie Wu, Yingjie Wang, Wenbin Hu, Bo Du, Dacheng Tao

CoRR, March, 2025

Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning.

Wenjie Wu, Yongcheng Jing, Yingjie Wang, Wenbin Hu, Dacheng Tao

CoRR, March, 2025

Erasing Without Remembering: Safeguarding Knowledge Forgetting in Large Language Models.

Huazheng Wang, Yongcheng Jing, Haifeng Sun, Yingjie Wang, Jingyu Wang, Jianxin Liao, Dacheng Tao

CoRR, February, 2025

Dynamic Parallel Tree Search for Efficient LLM Reasoning.

Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao

CoRR, February, 2025

HRP: High-Rank Preheating for Superior LoRA Initialization.

Yuzhu Chen, Yingjie Wang, Shi Fu, Li Shen, Yongcheng Jing, Xinmei Tian, Dacheng Tao

CoRR, February, 2025

New Quality Metrics for Connectivity-faithful Sampling and Drawing of Dynamic Graphs.

Amyra Meidiana, Seok-Hee Hong, Yongcheng Jing

Proceedings of the 18th IEEE Pacific Visualization Conference, 2025

Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG.

Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Dynamic Parallel Tree Search for Efficient LLM Reasoning.

Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Deep Graph Mating.

Yongcheng Jing, Seok-Hee Hong, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Connectivity-Faithful Graph Drawing.

Amyra Meidiana, Seok-Hee Hong, Yongcheng Jing

Proceedings of the 32nd International Symposium on Graph Drawing and Network Visualization, 2024

2023

Segment Anything in Non-Euclidean Domains: Challenges and Opportunities.

Yongcheng Jing, Xinchao Wang, Dacheng Tao

CoRR, 2023

Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning.

Wenxiang Xu, Yongcheng Jing, Linyun Zhou, Wenqi Huang, Lechao Cheng, Zunlei Feng, Mingli Song

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks.

Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.

Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Image Shadow Removal Challenge Report.

Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Graph Reprogramming.

Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report.

Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning.

Wenwen Pan, Yanling Yin, Xinchao Wang, Yongcheng Jing, Mingli Song

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Graph Neural Networks for Image Style Transfer.

Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks.

Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Amalgamating Knowledge From Heterogeneous Graph Neural Networks.

Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Turning Frequency to Resolution: Video Super-Resolution via Event Cameras.

Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Neural Style Transfer: A Review.

Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song

IEEE Trans. Vis. Comput. Graph., 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

Dynamic Instance Normalization for Arbitrary Style Transfer.

Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results.

Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Interpretable Partitioned Embedding for Customized Fashion Outfit Composition.

Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, Mingli Song

CoRR, 2018

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields.

Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Mingli Song

CoRR, 2018

Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition.

Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, Mingli Song

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Finer-Net: Cascaded Human Parsing with Hierarchical Granularity.

Jingwen Ye, Zunlei Feng, Yongcheng Jing, Mingli Song

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields.

Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Neural Style Transfer: A Review.

Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Mingli Song

CoRR, 2017

Graph-based color Gamut Mapping using neighbor metric.

Zunlei Feng, Yongcheng Jing, Chengyi Zhang, Rui Xu, Jie Lei, Mingli Song

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Towards Deeper Insights into Deep Learning from Imbalanced Data.

Jie Song, Yun Shen, Yongcheng Jing, Mingli Song

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

Confidence-based human action recognition with different-level features.

Xian Hu, Yongcheng Jing

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016