Context-Aware U-Net for Biomedical Image Segmentation. - Jiaxu Leng; Ying Liu 039; Tianlin Zhang; Pei Quan; Zhenyu Cui (BIBM, 2018)

Domain specific automatic Chinese multiple-type question generation. - Tianlin Zhang; Ying Liu 039; Pei Quan (BIBM, 2018)

A Novel Parsing-Based Automatic Domain Terminology Extraction Method. - Ying Liu 039; Tianlin Zhang; Pei Quan; Yueran Wen; Kaichao Wu; Hongbo He (ICCS (3), 2018)

A Novel Data Mining Approach Towards Human Resource Performance Appraisal. - Pei Quan; Ying Liu 039; Tianlin Zhang; Yueran Wen; Kaichao Wu; Hongbo He; Yong Shi 001 (ICCS (2), 2018)

Context Learning Network for Object Detection. - Jiaxu Leng; Ying Liu 039; Tianlin Zhang; Pei Quan (ICDM Workshops, 2018)

Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. - Akhil Mathur; Tianlin Zhang; Sourav Bhattacharya; Petar Velickovic; Leonid Joffe; Nicholas D. Lane; Fahim Kawsar; Pietro Liò (IPSN, 2018)

Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal. - Pei Quan; Yong Shi 001; Lingfeng Niu; Ying Liu 039; Tianlin Zhang (ITQM, 2018)

Alzheimer's Disease Diagnosis Using Enhanced Inception Network Based on Brain Magnetic Resonance Image. - Zhenyu Cui; Zhiao Gao; Jiaxu Leng; Tianlin Zhang; Pei Quan; Wei Zhao (BIBM, 2019)

A Novel Neuron Connection Model Mimicking Human Beings. - Jiaxu Leng; Zhenyu Cui; Chao Xiang; Tianlin Zhang; Pei Quan (BIBM, 2019)

CA-RPT: Context-Aware Road Passage Time Estimation for Urban Traffic. - Ying Liu 039; Zhenyu Cui; Tianlin Zhang; Jiaxu Leng; Weihong Xie; Liang Zhang (ICCS (5), 2019)

Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network. - Tianlin Zhang; Ying Liu 039; Zhenyu Cui; Jiaxu Leng; Weihong Xie; Liang Zhang (ICCS (3), 2019)

A Brief Review of Receptive Fields in Graph Convolutional Networks. - Pei Quan; Yong Shi 001; Minglong Lei; Jiaxu Leng; Tianlin Zhang; Lingfeng Niu (WI (Companion), 2019)

AttentionFM: Incorporating Attention Mechanism and Factorization Machine for Credit Scoring. - Ying Liu 039; Wei Wang; Tianlin Zhang; Zhenyu Cui (ICDM (Workshops), 2020)

Deep learning for drug-drug interaction extraction from the literature: a review. - Tianlin Zhang; Jiaxu Leng; Ying Liu 039 (Briefings Bioinform., 2020)

Robust Obstacle Detection and Recognition for Driver Assistance Systems. - Jiaxu Leng; Ying Liu 039; Dawei Du; Tianlin Zhang; Pei Quan (IEEE Trans. Intell. Transp. Syst., 2020)

Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier. - Hassan Alhuzali; Tianlin Zhang; Sophia Ananiadou (CLEF (Working Notes), 2021)

CSFQGD: Chinese Sentence Fill-in-the-blank Question Generation Dataset for Examination. - Tianlin Zhang; Zhenyu Cui; Jiaxu Leng; Ying Liu 039 (CSCWD, 2021)

Iterative multi-scale residual network for deblurring. - Tianlin Zhang; Jinjiang Li; Zhen Hua (IET Image Process., 2021)

Autonomous Removing Foreign Objects for Power Transmission Line by Using a Vision-Guided Unmanned Aerial Manipulator. - Ling Li; Tianlin Zhang; Hang Zhong; Hongwen Li; Hui Zhang 023; Shaosheng Fan; Yijia Cao (J. Intell. Robotic Syst., 2021)

SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing Images. - Zhenyu Cui; Jiaxu Leng; Ying Liu 039; Tianlin Zhang; Pei Quan; Wei Zhao (IEEE Trans. Geosci. Remote. Sens., 2021)

A Lightweight 3D Segmentation Network for Abdominal Liver in CT Image. - Junlin Zhao; Tianlin Zhang; Ling Gao; Wenbo Wan; Jian Wang 004 (ICAIP, 2022)

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. - Shaoxiong Ji; Tianlin Zhang; Luna Ansari; Jie Fu 001; Prayag Tiwari; Erik Cambria (LREC, 2022)

Fake News Detection Based on Multi-Modal Classifier Ensemble. - Yi Shao; Jiande Sun 001; Tianlin Zhang; Ye Jiang; Jianhua Ma; Jing Li 046 (MAD@ICMR, 2022)

Progressive edge-sensing dynamic scene deblurring. - Tianlin Zhang; Jinjiang Li; Hui Fan (Comput. Vis. Media, 2022)

A mental state Knowledge-aware and Contrastive Network for early stress and depression detection on social media. - Kailai Yang; Tianlin Zhang; Sophia Ananiadou (Inf. Process. Manag., 2022)

Natural language processing applied to mental illness detection: a narrative review. - Tianlin Zhang; Annika Marie Schoene; Shaoxiong Ji; Sophia Ananiadou (npj Digit. Medicine, 2022)

Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media. - Tianlin Zhang; Kailai Yang; Sophia Ananiadou (BioNLP@ACL, 2023)

A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. - Kailai Yang; Tianlin Zhang; Shaoxiong Ji; Sophia Ananiadou (CIKM, 2023)

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Lei Yu; Youwei Li; Xinpeng Li; Ting Jiang; Qi Wu 017; Mingyan Han; Wenjie Lin; Chengzhi Jiang; et al. (CVPR Workshops, 2023)

Large Kernel Distillation Network for Efficient Single Image Super-Resolution. - Chengxing Xie; Xiaoming Zhang 008; Linze Li 001; Haiteng Meng; Tianlin Zhang; Tianrui Li 001; Xiaole Zhao (CVPR Workshops, 2023)

Towards Interpretable Mental Health Analysis with Large Language Models. - Kailai Yang; Shaoxiong Ji; Tianlin Zhang; Qianqian Xie; Ziyan Kuang; Sophia Ananiadou (EMNLP, 2023)

Dynamic Object Tracking for Quadruped Manipulator with Spherical Image-Based Approach. - Tianlin Zhang; Sikai Guo; Xiaogang Xiong; Wanlei Li; Zezheng Qi; Yunjiang Lou (IROS, 2023)

Integrated Multi-stage Contextual Attention Network for Text-Image Matching. - Jiande Sun 001; Yi Shao; Yawen Chen; Yang Zhang; Tianlin Zhang; Xuan Zhang; Ye Jiang; Jing Li 046 (MediaEval, 2023)

On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis. - Kailai Yang; Shaoxiong Ji; Tianlin Zhang; Qianqian Xie; Sophia Ananiadou (CoRR, 2023)

Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health. - Shaoxiong Ji; Tianlin Zhang; Kailai Yang; Sophia Ananiadou; Erik Cambria; Jörg Tiedemann (CoRR, 2023)

MentalLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. - Kailai Yang; Tianlin Zhang; Ziyan Kuang; Qianqian Xie; Sophia Ananiadou (CoRR, 2023)

Rethinking Large Language Models in Mental Health Applications. - Shaoxiong Ji; Tianlin Zhang; Kailai Yang; Sophia Ananiadou; Erik Cambria (CoRR, 2023)

Lightweight Remote-Sensing Image Super-Resolution via Re-Parameterized Feature Distillation Network. - Tianlin Zhang; Chunjiang Bian; Xiaoming Zhang 008; Hongzhen Chen; Shi Chen (IEEE Geosci. Remote. Sens. Lett., 2023)

Cluster-Level Contrastive Learning for Emotion Recognition in Conversations. - Kailai Yang; Tianlin Zhang; Hassan Alhuzali; Sophia Ananiadou (IEEE Trans. Affect. Comput., 2023)

Emotion fusion for mental illness detection from social media: A survey. - Tianlin Zhang; Kailai Yang; Shaoxiong Ji; Sophia Ananiadou (Inf. Fusion, 2023)

PHQ-aware depressive symptoms identification with similarity contrastive learning on social media. - Tianlin Zhang; Kailai Yang; Hassan Alhuzali; Boyang Liu; Sophia Ananiadou (Inf. Process. Manag., 2023)

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. - Zhiwei Liu; Kailai Yang; Qianqian Xie; Tianlin Zhang; Sophia Ananiadou (KDD, 2024)

SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content. - Tianlin Zhang; Kailai Yang; Shaoxiong Ji; Boyang Liu; Qianqian Xie; Sophia Ananiadou (SIGIR, 2024)

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. - Kailai Yang; Tianlin Zhang; Ziyan Kuang; Qianqian Xie; Jimin Huang; Sophia Ananiadou (WWW, 2024)

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. - Zhiwei Liu; Kailai Yang; Tianlin Zhang; Qianqian Xie; Zeping Yu; Sophia Ananiadou (CoRR, 2024)

The FinBen: An Holistic Financial Benchmark for Large Language Models. - Qianqian Xie; Weiguang Han; Zhengyu Chen; Ruoyu Xiang; Xiao Zhang; Yueru He; Mengxi Xiao; Dong Li; Yongfu Dai; Duanyu Feng; Yijing Xu; Haoqiang Kang; et al. (CoRR, 2024)

MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models. - Kailai Yang; Zhiwei Liu; Qianqian Xie; Tianlin Zhang; Nirui Song; Jimin Huang; Ziyan Kuang; Sophia Ananiadou (CoRR, 2024)

Emotion detection for misinformation: A review. - Zhiwei Liu; Tianlin Zhang; Kailai Yang; Paul Thompson 002; Zeping Yu; Sophia Ananiadou (Inf. Fusion, 2024)

Disentangled Variational Autoencoder for Emotion Recognition in Conversations. - Kailai Yang; Tianlin Zhang; Sophia Ananiadou (IEEE Trans. Affect. Comput., 2024)