Hengxing Cai

According to our database, Hengxing Cai authored at least 30 papers between 2017 and 2026.

Collaborative distances:

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

2026

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation.

Mingwei Ye, Jiaxi Zhuang, Mingjun Xu, Linfeng Zhang, Guolin Ke, Hengxing Cai

CoRR, April, 2026

SpecXMaster Technical Report.

Yutang Ge, Yaning Cui, Hanzheng Li, Jun-Jie Wang, Fanjie Xu, Jinhan Dong, Yong-Jin Liu, Dongxu Cui, Peng Jin, Guojiang Zhao, Hengxing Cai, Rong Zhu, Linfeng Zhang, Xiaohong Ji, Zhifeng Gao

CoRR, March, 2026

AirNav: A Large-Scale Real-World UAV Vision-and-Language Navigation Dataset with Natural and Diverse Instructions.

Hengxing Cai, Yijie Rao, Ligang Huang, Zanyang Zhong, Jinhan Dong, Jingjun Tan, Wenhao Lu, Renxin Zhong

CoRR, January, 2026

Interpretable Reward Model via Sparse Autoencoder.

Shuyi Zhang, Wei Shi, Sihang Li, Jiayi Liao, Tao Liang, Hengxing Cai, Xiang Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Reasoning-Enhanced Large Language Models for Molecular Property Prediction.

Jiaxi Zhuang, Yaorui Shi, Jue Hou, Yunong He, Mingwei Ye, Mingjun Xu, Yuming Su, Linfeng Zhang, Ying Qian, Linfeng Zhang, Guolin Ke, Hengxing Cai

CoRR, October, 2025

Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents.

Yaorui Shi, Yuxin Chen, Siyuan Wang, Sihang Li, Hengxing Cai, Qi Gu, Xiang Wang, An Zhang

CoRR, September, 2025

MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs.

Guojiang Zhao, Sihang Li, Zixiang Lu, Zheng Cheng, Haitao Lin, Lirong Wu, Hanchen Xia, Hengxing Cai, Wentao Guo, Hongshuai Wang, Mingjun Xu, Siyu Zhu, Guolin Ke, Linfeng Zhang, Zhifeng Gao

CoRR, August, 2025

SA-GCS: Semantic-Aware Gaussian Curriculum Scheduling for UAV Vision-Language Navigation.

Hengxing Cai, Jinhan Dong, Yijie Rao, Jingcheng Deng, Jingjun Tan, Qien Chen, Haidong Wang, Zhen Wang, Shiyu Huang, Agachai Sumalee, Renxin Zhong

CoRR, August, 2025

Doc2SAR: A Synergistic Framework for High-Fidelity Extraction of Structure-Activity Relationships from Scientific Documents.

Jiaxi Zhuang, Kangning Li, Jue Hou, Mingjun Xu, Zhifeng Gao, Hengxing Cai

CoRR, June, 2025

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval.

Mingjun Xu, Jinhan Dong, Jue Hou, Zehui Wang, Sihang Li, Zhifeng Gao, Renxin Zhong, Hengxing Cai

CoRR, June, 2025

Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs.

Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang

CoRR, May, 2025

A Multi-Granularity Retrieval Framework for Visually-Rich Documents.

Mingjun Xu, Zehui Wang, Hengxing Cai, Renxin Zhong

CoRR, May, 2025

Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning.

Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis.

Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, Shuwen Yang, Jiankun Wang, Mingjun Xu, Jin Huang, Xi Fang, Jiaxi Zhuang, Yuqi Yin, Yaqi Li, Changhong Chen, Zheng Cheng, Zifeng Zhao, Linfeng Zhang, Guolin Ke

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding.

Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models.

Hengxing Cai, Jinhan Dong, Jingjun Tan, Jingcheng Deng, Sihang Li, Zhifeng Gao, Haidong Wang, Zicheng Su, Agachai Sumalee, Renxin Zhong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Intelligent System for Automated Molecular Patent Infringement Assessment.

Yaorui Shi, Sihang Li, Taiyan Zhang, Xi Fang, Jiankun Wang, Zhiyuan Liu, Guojiang Zhao, Zhengdan Zhu, Zhifeng Gao, Renxin Zhong, Linfeng Zhang, Guolin Ke, Weinan E, Hengxing Cai, Xiang Wang

CoRR, 2024

Uni-SMART: Universal Science Multimodal Analysis and Research Transformer.

Hengxing Cai, Xiaochen Cai, Shuwen Yang, Jiankun Wang, Lin Yao, Zhifeng Gao, Junhan Chang, Sihang Li, Mingjun Xu, Changxin Wang, Hongshuai Wang, Yongge Li, Mujie Lin, Yaqi Li, Yuqi Yin, Linfeng Zhang, Guolin Ke

CoRR, 2024

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis.

Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, Shuwen Yang, Jiankun Wang, Yuqi Yin, Yaqi Li, Linfeng Zhang, Guolin Ke

CoRR, 2024

2023

IFS-SED: Incremental Few-Shot Sound Event Detection Using Explicit Learning and Calibration.

Ming Feng, Kele Xu, Hengxing Cai

Proceedings of the 31st ACM International Conference on Multimedia, 2023

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

VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation.

Xiaochen Cai, Hengxing Cai, Kele Xu, Wei-Wei Tu, Wu-Jun Li

Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

Multiple Temporal Fusion based Weakly-supervised Pre-training Techniques for Video Categorization.

Xiaochen Cai, Hengxing Cai, Boqing Zhu, Kele Xu, Weiwei Tu, Dawei Feng

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report.

Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment.

Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa

CoRR, 2021

2020

Learning Traffic as Images for Incident Detection Using Convolutional Neural Networks.

Xiaozhou Liu, Hengxing Cai, Renxin Zhong, Weili Sun, Junzhou Chen

IEEE Access, 2020

Multi-Scale Generalized Attention-Based Regional Maximum Activation of Convolutions for Beauty Product Retrieval.

Kele Xu, Yuzhong Liu, Ming Feng, Jianqiao Zhao, Huaimin Wang, Hengxing Cai

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

AIM 2020: Scene Relighting and Illumination Estimation Challenge.

Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. V. Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2018

Mixup-Based Acoustic Scene Classification Using Multi-channel Convolutional Neural Network.

Kele Xu, Dawei Feng, Haibo Mi, Boqing Zhu, Dezhi Wang, Lilun Zhang, Hengxing Cai, Shuwen Liu

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017

Full-reference image quality assessment-based B-mode ultrasound image similarity measure.

Kele Xu, Xi Liu, Hengxing Cai, Zhifeng Gao

CoRR, 2017