A Method of Remote Sensing Image Retrieval Based on ROI. - Lei Niu; Lin Ni; Wei Lu; Yuan Miao 001 (ICITA (2), 2005)

WDFB Contourlet and Shearing Invariant for Image Denoising. - Peng Zhang; Lin Ni (ICITA (1), 2005)

The design and fabrication of a flexible three-dimensional force sensor skin. - Jian Him Shan; Tao Mei 003; Lei Sun; Deyi Kong; Zhengyong Zhang; Lin Ni; Max Q.-H. Meng; Jia Ru Chu (IROS, 2005)

Intrusion Detection Based on MLP Neural Networks and K-Means Algorithm. - Hongying Zheng; Lin Ni; Di Xiao 001 (ISNN (3), 2005)

A new digital implementation of ridgelet transform for images of dyadic length. - Junjun Xia; Lin Ni; Yuan Miao (J. Netw. Comput. Appl., 2007)

A Quantum Cognitive Map Model. - Ying Huang; Lin Ni; Yuan Miao 001 (ICNC (5), 2009)

Face feature extraction and recognition using contourlet transform and coupled subspace analysis. - Pingfeng Tang; Qu Gong; Lin Ni; Feifei Wang (BMEI, 2012)

An Agent-Based Approach to Simulate Post-earthquake Indoor Crowd Evacuation. - Lin Ni; Vicente González 001; Jiamou Liu; Anass Rahouti; Libo Zhang 006; Bun Por Taing (PRIMA, 2018)

HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention. - Qiming Bao 001; Lin Ni; Jiamou Liu (ACSW, 2020)

Potential Analysis of Chinese Mechanical and Electrical Products Export to France - An Empirical Study Based on the Extended Trade Gravity Model. - Lin Ni; Longkun Sheng (WHICEB, 2020)

Research on the Competitiveness and Trade Potential of China-India Pharmaceutical Trade under the One Belt and One Road Initiative. - Lin Ni; Shihui Shuai; Wei Li (WHICEB, 2021)

Brightness Compensation for GF-3 SAR Images Based on Cycle-Consistent Adversarial Networks. - Shaofeng Lin; Zengguo Sun; Xuejun Peng; Lin Ni; Genfeng Wen; Weirong Chen; Zheng Lu; Qianfu Chen (Inf. Technol. Control., 2021)

DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions. - Lin Ni; Qiming Bao 001; Xiaoxuan Li 001; Qianqian Qi 001; Paul Denny 001; Jim Warren; Michael Witbrock; Jiamou Liu (AAAI, 2022)

A Design of Extensible Architecture Based on Consortium Blockchain. - Lin Ni; Shuai Zhang 048; Guopeng Li; Kun Han; Hui Sun (ICAIT, 2022)

Research on Self-Adaptive Consensus Method Based on Blockchain. - Shuai Zhang 048; Lin Ni; Wenjia Xie; Guopeng Li; Hui Sun (ICAIT, 2022)

The Relationship Between Social Presence and Online Shopping Consumer Behavior. - Yu Liang; Lin Ni (WHICEB, 2022)

Collaborative representation learning for nodes and relations via heterogeneous graph neural network. - Weimin Li 001; Lin Ni; Jianjia Wang; Can Wang 004 (Knowl. Based Syst., 2022)

The Effect of Matching Block Resolution on IP Softcore Hardware Trojans Map Detection. - Lin Ni; Qiukai Ye; Ming Xian; Shuai Zhang; Zihui Liu (ICAIT, 2023)

MaD: A Dataset for Interview-based BPM in Business Process Management. - Xiaoxuan Li 001; Lin Ni; Renee Li; Jiamou Liu; Mengxiao Zhang (IJCNN, 2023)

Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation. - Zimei Zhang; Gang Wang; Rui Li; Lin Ni; Runze Zhang; Kaiyang Cheng; Qun Ren; Xiangtai Kong; Shengkun Ni; Xiaochu Tong; Li Luo; Dingyan Wang; et al. (J. Cheminformatics, 2023)

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy. - Lin Ni; Sijie Wang; Zeyu Zhang 004; Xiaoxuan Li 001; Xianda Zheng; Paul Denny 001; Jiamou Liu (AAAI, 2024)

Predicting Heart Rate Variability from Heart Rate and Step Count for University Student Weekdays. - Jim Warren 001; Lin Ni; Ben Fry; Melanie Stowell; Chelsey Gardiner; Robyn Whittaker; Taria Tane; Rosie Dobson (EMBC, 2024)

Research of Raft Algorithm Improvement in Blockchain. - Lin Ni; Qiukai Ye; Jun Yang; Shuai Zhang; Ming Xian (ICAIT, 2024)

Epic-Level Text Generation with LLM through Auto-prompted Reinforcement Learning. - Qianqian Qi 001; Lin Ni; Zhongsheng Wang; Libo Zhang 006; Jiamou Liu; Michael Witbrock (IJCNN, 2024)

KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling. - Qun Ren; Ning Qu; Jingjing Sun; Jingyi Zhou; Jin Liu; Lin Ni; Xiaochu Tong; Zimei Zhang; Xiangtai Kong; Yiming Wen; Yitian Wang; Dingyan Wang; et al. (Briefings Bioinform., 2024)

Gram matrix: an efficient representation of molecular conformation and learning objective for molecular pretraining. - Wenkai Xiang; Feisheng Zhong; Lin Ni; Mingyue Zheng; Xutong Li; Qian Shi 005; Dingyan Wang (Briefings Bioinform., 2024)

A comprehensive intrusion detection method for the internet of vehicles based on federated learning architecture. - Kun Huang; Rundong Xian; Ming Xian; Huimei Wang; Lin Ni (Comput. Secur., 2024)

Identification of Highly Repetitive Enhancers with Long-range Regulation Potential in Barley via STARR-seq. - Wanlin Zhou; Haoran Shi; Zhiqiang Wang; Yuxin Huang; Lin Ni; Xudong Chen; Yan Liu; Haojie Li; Caixia Li; Yaxi Liu (Genom. Proteom. Bioinform., 2024)

Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models. - Sijie Wang; Lin Ni; Zeyu Zhang 004; Xiaoxuan Li 001; Xianda Zheng; Jiamou Liu (Pattern Recognit. Lett., 2024)

Enhance CVE Severity Prediction From Vulnerability Description with Auxiliary Sentence. - Gang Yang; Jun He; Bo Wu; Lin Ni; Linna Fan; Tao Xia (CSCWD, 2025)

MalImgDA: Diffusion-based Data Augmentation for Long-tailed Malware Family Classification. - Gang Yang; Jun He; Bo Wu; Tao Xia; Linna Fan; Lin Ni (ICASSP, 2025)

Towards Reliable Detection of Malicious DNS-over-HTTPS (DoH) Tunneling Traffic Under Low-Quality Training Data. - Gang Yang; Bo Wu; Jun He; Lin Ni; Tao Xia (ICIC (4), 2025)

A AAV Swarm Authentication and Key Agreement Scheme Based on Latin Square Design. - Tao Xia; Menglin Wang; Jun He; Lin Ni; Gang Yang (IEEE Wirel. Commun. Lett., 2025)

LLM-enhanced representation learning for graph collaborative filtering recommendation models. - Daen Mou; Zhihua Wei; Lin Ni; Na Song; Yiwei Sun; Weizhong Chu; Benkai Jin (J. Intell. Inf. Syst., 2025)

FSL-IDS: Federated Semi-Supervised Learning Intrusion Detection System for In-Vehicle Networks. - Kun Huang; Huimei Wang; Lin Ni; Yifan Wang; Ming Xian (IEEE Internet Things J., 2025)