Application of Rough Set Theory for Evaluating Polysaccharides Extraction. - Shuang Liu; Lijun Sun; Yurong Guo; Jialin Gao; Lei Liu (RSKT, 2011)

Enhanced Wearable Medical Systems for Effective Blood Glucose Control. - Jialin Gao; Ping Yi; Zicheng Chi; Ting Zhu 001 (CHASE, 2016)

General Interaction-Aware Neural Network for Action Recognition. - Jialin Gao; Jiani Li; Guanshuo Wang; Yufeng Yuan; Xi Zhou (PRICAI (3), 2019)

Relation-Aware Pyramid Network (RapNet) for temporal action proposal. - Jialin Gao; Zhixiang Shi; Jiani Li; Yufeng Yuan; Jiwei Li; Xi Zhou (CoRR, 2019)

Layer Pruning for Accelerating Very Deep Neural Networks. - Weiwei Zhang; Changsheng Chen; Xuechun Wu; Jialin Gao; Di Bao; Jiwei Li; Xi Zhou (CoRR, 2019)

Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition. - Jialin Gao; Tong He 002; Xi Zhou; Shiming Ge (CoRR, 2019)

Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network. - Jialin Gao; Zhixiang Shi; Guanshuo Wang; Jiani Li; Yufeng Yuan; Shiming Ge; Xi Zhou (AAAI, 2020)

Convolutional neural network with adaptive inferential framework for skeleton-based action recognition. - Hong'en Huang; Hang Su 006; Zhigang Chang; Mingyang Yu; Jialin Gao; Xinzhe Li; Shibao Zheng (J. Vis. Commun. Image Represent., 2020)

Relation-aware Video Reading Comprehension for Temporal Language Grounding. - Jialin Gao; Xin Sun; Mengmeng Xu; Xi Zhou; Bernard Ghanem (EMNLP (1), 2021)

A Study on Railway Surface Defects Detection Based on Machine Vision. - Tangbo Bai; Jialin Gao; Jianwei Yang; Dechen Yao (Entropy, 2021)

Skeleton-Based Action Recognition With Focusing-Diffusion Graph Convolutional Networks. - Jialin Gao; Tong He 002; Xi Zhou; Shiming Ge (IEEE Signal Process. Lett., 2021)

Self-Guided Body Part Alignment With Relation Transformers for Occluded Person Re-Identification. - Guanshuo Wang; Xiong Chen; Jialin Gao; Xi Zhou; Shiming Ge (IEEE Signal Process. Lett., 2021)

Attention-guided Fine-grained Feature Learning For Robust Face Forgery Detection. - Yizhe Zhu; Jialin Gao; Qiong Liu; Xi Zhou (ICPR, 2022)

You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos. - Xin Sun; Xuan Wang; Jialin Gao; Qiong Liu; Xi Zhou (SIGIR, 2022)

Efficient Video Grounding With Which-Where Reading Comprehension. - Jialin Gao; Xin Sun; Bernard Ghanem; Xi Zhou; Shiming Ge (IEEE Trans. Circuits Syst. Video Technol., 2022)

AVForensics: Audio-driven Deepfake Video Detection with Masking Strategy in Self-supervision. - Yizhe Zhu; Jialin Gao; Xi Zhou (ICMR, 2023)

Crack Detection of Track Slab Based on RSG-YOLO. - Tangbo Bai; Baile Lv; Ying Wang; Jialin Gao; Jian Wang (IEEE Access, 2023)

Exploiting enhanced and robust RGB-D face representation via progressive multi-modal learning. - Yizhe Zhu; Jialin Gao; Tianshu Wu; Qiong Liu; Xi Zhou (Pattern Recognit. Lett., 2023)

Video Moment Retrieval via Comprehensive Relation-Aware Network. - Xin Sun; Jialin Gao; Yizhe Zhu; Xuan Wang; Xi Zhou (IEEE Trans. Circuits Syst. Video Technol., 2023)

Boundary Denoising for Video Activity Localization. - Mengmeng Xu; Mattia Soldan; Jialin Gao; Shuming Liu 001; Juan-Manuel Pérez-Rúa; Bernard Ghanem (ICLR, 2024)

From 2D to 3D: AISG-SLA Visual Localization Challenge. - Jialin Gao; Bill Ong; Darld Lwi; Zhen Hao Ng; Xun Wei Yee; Mun-Thye Mak; Wee Siong Ng; See-Kiong Ng; Hui Ying Teo; Victor Khoo; Georg Bökman; Johan Edstedt; et al. (IJCAI, 2024)

FreeEdit: Mask-free Reference-based Image Editing with Multi-modal Instruction. - Runze He; Kai Ma; Linjiang Huang; Shaofei Huang 001; Jialin Gao; Xiaoming Wei; Jiao Dai; Jizhong Han; Si Liu 001 (CoRR, 2024)

Faster Multi-GPU Training with PPLL: A Pipeline Parallelism Framework Leveraging Local Learning. - Xiuyuan Guo; Chengqi Xu; Guinan Guo; Feiyu Zhu; Changpeng Cai; Peizhe Wang; Xiaoming Wei; Junhao Su; Jialin Gao (CoRR, 2024)

Learning Feature Semantic Matching for Spatio-Temporal Video Grounding. - Tong Zhang; Hao Fang 010; Hao Zhang 048; Jialin Gao; Xiankai Lu; Xiushan Nie; Yilong Yin (IEEE Trans. Multim., 2024)

High-compressed deepfake video detection with contrastive spatiotemporal distillation. - Yizhe Zhu; Chunhui Zhang; Jialin Gao; Xin Sun; Zihan Rui; Xi Zhou (Neurocomputing, 2024)

SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems. - Ziyu Guo; Renrui Zhang; Hao Chen 011; Jialin Gao; Dongzhi Jiang; Jiaze Wang; Pheng-Ann Heng (ACL (Findings), 2025)

LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding. - Hongyu Li; Jinyu Chen; Ziyu Wei; Shaofei Huang; Tianrui Hui; Jialin Gao; Xiaoming Wei; Si Liu (CVPR, 2025)

LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding. - Hongyu Li; Jinyu Chen; Ziyu Wei; Shaofei Huang 001; Tianrui Hui; Jialin Gao; Xiaoming Wei; Si Liu 001 (CoRR, 2025)

SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems. - Ziyu Guo; Ray Zhang 002; Hao Chen 011; Jialin Gao; Dongzhi Jiang; Jiaze Wang; Pheng-Ann Heng (CoRR, 2025)

LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generation. - Hengyu Shi; Junhao Su; Huansheng Ning; Xiaoming Wei; Jialin Gao (CoRR, 2025)

Multi-scale feature enhanced detection of foreign object intrusions on railways. - Jialin Gao; Liqiang Zhu; Baoqing Guo; Yao Wang (J. Supercomput., 2025)

Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency. - Hongyu Li; Songhao Han; Yue Liao; Junfeng Luo; Jialin Gao; Shuicheng Yan; Si Liu 001 (CoRR, 2025)

PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework. - Sixiang Chen; Jianyu Lai; Jialin Gao; Tian Ye 001; Haoyu Chen 003; Hengyu Shi; Shitong Shao; Yunlong Lin; Song Fei; Zhaohu Xing; Yeying Jin; Junfeng Luo; et al. (CoRR, 2025)

PositionIC: Unified Position and Identity Consistency for Image Customization. - Junjie Hu; Tianyang Han; Kai Ma; Jialin Gao; Hao Dou; Song Yang; Xianhua He; Jianhui Zhang; Junfeng Luo; Xiaoming Wei; Wenqiang Zhang (CoRR, 2025)

MAN++: Scaling Momentum Auxiliary Network for Supervised Local Learning in Vision Tasks. - Junhao Su; Feiyu Zhu; Hengyu Shi; Tianyang Han; Yurui Qiu; Junfeng Luo; Xiaoming Wei; Jialin Gao (CoRR, 2025)

DOMR: Establishing Cross-View Segmentation via Dense Object Matching. - Jitong Liao; Yulu Gao; Shaofei Huang 001; Jialin Gao; Jie Lei 004; Ronghua Liang; Si Liu 001 (CoRR, 2025)

COST: Contrastive one-stage transformer for vision-language small object tracking. - Chunhui Zhang; Li Liu 036; Jialin Gao; Xin Sun; Hao Wen; Xi Zhou; Shiming Ge; Yanfeng Wang 001 (Inf. Fusion, 2026)