Full-reference image quality assessment-based B-mode ultrasound image similarity measure. - Kele Xu; Xi Liu; Hengxing Cai; Zhifeng Gao (CoRR, 2017)

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 003 (PCM (3), 2018)

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; et al. (ECCV Workshops (3), 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 (ACM Multimedia, 2020)

Learning Traffic as Images for Incident Detection Using Convolutional Neural Networks. - Xiaozhou Liu; Hengxing Cai; Renxin Zhong; Weili Sun; Junzhou Chen 001 (IEEE Access, 2020)

NTIRE 2021 Challenge on Perceptual Image Quality Assessment. - Jinjin Gu; Haoming Cai; Chao Dong 005; Jimmy S. Ren; Yu Qiao 001; Shuhang Gu; Radu Timofte; Manri Cheon; Sung-Jun Yoon; Byungyeon Kang; Junwoo Lee; Qing Zhang; et al. (CoRR, 2021)

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; et al. (ECCV Workshops (3), 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 (ACM Multimedia, 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 (Cell Segmentation Challenge @ NeurIPS, 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)

IFS-SED: Incremental Few-Shot Sound Event Detection Using Explicit Learning and Calibration. - Ming Feng; Kele Xu; Hengxing Cai (ACM Multimedia, 2023)

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. - Hengxing Cai; Xiaochen Cai; Junhan Chang; Sihang Li 002; Lin Yao 003; Changxin Wang; Zhifeng Gao; Hongshuai Wang; Yongge Li; Mujie Lin; Shuwen Yang; Jiankun Wang 011; et al. (CoRR, 2024)

Uni-SMART: Universal Science Multimodal Analysis and Research Transformer. - Hengxing Cai; Xiaochen Cai; Shuwen Yang; Jiankun Wang 011; Lin Yao 003; Zhifeng Gao; Junhan Chang; Sihang Li 002; Mingjun Xu; Changxin Wang; Hongshuai Wang; Yongge Li; et al. (CoRR, 2024)

Intelligent System for Automated Molecular Patent Infringement Assessment. - Yaorui Shi; Sihang Li 002; Taiyan Zhang; Xi Fang; Jiankun Wang 011; Zhiyuan Liu 001; Guojiang Zhao; Zhengdan Zhu; Zhifeng Gao; Renxin Zhong; Linfeng Zhang 002; Guolin Ke; et al. (CoRR, 2024)

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding. - Sihang Li 002; Jin Huang; Jiaxi Zhuang; Yaorui Shi; Xiaochen Cai; Mingjun Xu; Xiang Wang 010; Linfeng Zhang 002; Guolin Ke; Hengxing Cai (ICLR, 2025)

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. - Hengxing Cai; Xiaochen Cai; Junhan Chang; Sihang Li 002; Lin Yao 003; Changxin Wang; Zhifeng Gao; Hongshuai Wang; Yongge Li; Mujie Lin; Shuwen Yang; Jiankun Wang 011; et al. (NAACL (Findings), 2025)

A Multi-Granularity Retrieval Framework for Visually-Rich Documents. - Mingjun Xu; Zehui Wang; Hengxing Cai; Renxin Zhong (CoRR, 2025)

Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs. - Yaorui Shi; Sihang Li 002; Chang Wu 003; Zhiyuan Liu 001; Junfeng Fang; Hengxing Cai; An Zhang 003; Xiang Wang 010 (CoRR, 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 002; Zhifeng Gao; Haidong Wang; Zicheng Su; Agachai Sumalee; Renxin Zhong (CoRR, 2025)

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval. - Mingjun Xu; Jinhan Dong; Jue Hou; Zehui Wang; Sihang Li 002; Zhifeng Gao; Renxin Zhong; Hengxing Cai (CoRR, 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, 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 009; Agachai Sumalee; Renxin Zhong (CoRR, 2025)

MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs. - Guojiang Zhao; Sihang Li 002; Zixiang Lu; Zheng Cheng; Haitao Lin; Lirong Wu; Hanchen Xia; Hengxing Cai; Wentao Guo; Hongshuai Wang; Mingjun Xu; Siyu Zhu; et al. (CoRR, 2025)

Interpretable Reward Model via Sparse Autoencoder. - Shuyi Zhang; Wei Shi; Sihang Li 002; Jiayi Liao; Tao Liang; Hengxing Cai; Xiang Wang 010 (CoRR, 2025)