Kangning Zhang

According to our database, Kangning Zhang authored at least 23 papers between 2020 and 2026.

Collaborative distances:

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

2026

MMSkills: Towards Multimodal Skills for General Visual Agents.

Kangning Zhang, Shuai Shao, Qingyao Li, Jianghao Lin, Lingyue Fu, Shijian Wang, Wenxiang Jiao, Yuan Lu, Weiwen Liu, Weinan Zhang, Yong Yu

CoRR, May, 2026

SWE-Cycle: Benchmarking Code Agents across the Complete Issue Resolution Cycle.

Hao Guan, Lingyue Fu, Shao Zhang, Yaoming Zhu, Kangning Zhang, Lin Qiu, Xunliang Cai, Xuezhi Cao, Weiwen Liu, Weinan Zhang, Yong Yu

CoRR, May, 2026

MuSEAgent: A Multimodal Reasoning Agent with Stateful Experiences.

Shijian Wang, Jiarui Jin, Runhao Fu, Zexuan Yan, Xingjian Wang, Mengkang Hu, Eric Wang, Xiaoxi Li, Kangning Zhang, Li Yao, Wenxiang Jiao, Xuelian Cheng, Yuan Lu, Zongyuan Ge

CoRR, March, 2026

IE-GADCI: An End-to-End Incoherence-Enhanced Generative Adversarial Deep Compressive Imaging.

Kangning Zhang, Yifei Sun, Varun Yelluru, Weijian Yang

IEEE Trans. Computational Imaging, 2026

2025

LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls.

Kangning Zhang, Wenxiang Jiao, Kounianhua Du, Yuan Lu, Weiwen Liu, Weinan Zhang, Lei Zhang, Yong Yu

CoRR, November, 2025

Fints: Efficient Inference-Time Personalization for LLMs with Fine-Grained Instance-Tailored Steering.

Kounianhua Du, Jianxing Liu, Kangning Zhang, Wenxiang Jiao, Yuan Lu, Jiarui Jin, Weiwen Liu, Yong Yu, Weinan Zhang

CoRR, October, 2025

A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models.

Congming Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang, Rong Shan, Zeyu Zheng, Mengyue Yang, Jianghao Lin, Yong Yu, Weinan Zhang

CoRR, October, 2025

Enhanced Ground Fissure Detection in Mining Areas Based on Visible-Infrared Image Fusion and YOLOv5.

Yixin Zhao, Liangchen Zhao, Jihong Guo, Kangning Zhang, Chunwei Ling, Shirui Wang, Hua Bian

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

An Automatic Graph Construction Framework based on Large Language Models for Recommendation.

Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

CATE: A Cross-Attention-Transformer Based Method for Traffic Engineering.

Bosheng Zhang, Li Zheng, Tianle Xia, Wei Li, Kangning Zhang, Songlin Sun

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

2024

Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation.

Kangning Zhang, Jiarui Jin, Yingjie Qin, Ruilong Su, Jianghao Lin, Yong Yu, Weinan Zhang

CoRR, 2024

DRepMRec: A Dual Representation Learning Framework for Multimodal Recommendation.

Kangning Zhang, Yingjie Qin, Ruilong Su, Yifan Liu, Jiarui Jin, Weinan Zhang, Yong Yu

CoRR, 2024

An Aligning and Training Framework for Multimodal Recommendations.

Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Weinan Zhang

CoRR, 2024

3D Diffusion Policy.

Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu

CoRR, 2024

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.

Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang

Proceedings of the ACM on Web Conference 2024, 2024

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu

Proceedings of the Robotics: Science and Systems XX, 2024

Fetal Ultrasound Video Representation Learning Using Contrastive Rubik's Cube Recovery.

Kangning Zhang, Jianbo Jiao, J. Alison Noble

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

Out-of-Clinical-Distribution Detection with a Softmax-Conditioned Variational Autoencoder Regulariser: Application to Fetal Ultrasound.

Kangning Zhang, Jianbo Jiao, J. Alison Noble

Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024

AlignRec: Aligning and Training in Multimodal Recommendations.

Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Yong Yu, Weinan Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Dual-Aligned Model for Multimodal Recommendation.

Kangning Zhang, Yingjie Qin, Ruilong Su, Yifan Liu, Weinan Zhang, Yong Yu

Proceedings of the Information Retrieval - 30th China Conference, 2024

2023

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models.

Lingyue Fu, Huacan Chai, Shuang Luo, Kounianhua Du, Weiming Zhang, Longteng Fan, Jiayi Lei, Renting Rui, Jianghao Lin, Yuchen Fang, Yifan Liu, Jingkuan Wang, Siyuan Qi, Kangning Zhang, Weinan Zhang, Yong Yu

CoRR, 2023

2022

A False Alarm Elimination Algorithm of Foreign Objects Debris Detection Based on Duffing Oscillator.

Jun Zhong, Kangning Zhang, Qi Zeng, Xing Liu

IEEE Access, 2022

2020

MRI Restoration Using Edge-Guided Adversarial Learning.

Yaqiong Chai, Botian Xu, Kangning Zhang, Natasha Leporé, John C. Wood

IEEE Access, 2020