Tianlin Zhang

According to our database, Tianlin Zhang authored at least 46 papers between 2018 and 2024.

Collaborative distances:

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

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

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, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang

CoRR, 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

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., September, 2023

Emotion fusion for mental illness detection from social media: A survey.

Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou

Inf. Fusion, April, 2023

Cluster-Level Contrastive Learning for Emotion Recognition in Conversations.

Kailai Yang, Tianlin Zhang, Hassan Alhuzali, Sophia Ananiadou

IEEE Trans. Affect. Comput., 2023

Lightweight Remote-Sensing Image Super-Resolution via Re-Parameterized Feature Distillation Network.

Tianlin Zhang, Chunjiang Bian, Xiaoming Zhang, Hongzhen Chen, Shi Chen

IEEE Geosci. Remote. Sens. Lett., 2023

Rethinking Large Language Models in Mental Health Applications.

Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria

CoRR, 2023

Emotion Detection for Misinformation: A Review.

Zhiwei Liu, Tianlin Zhang, Kailai Yang, Paul Thompson, Zeping Yu, Sophia Ananiadou

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

Disentangled Variational Autoencoder for Emotion Recognition in Conversations.

Kailai Yang, Tianlin Zhang, 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

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

Integrated Multi-stage Contextual Attention Network for Text-Image Matching.

Jiande Sun, Yi Shao, Yawen Chen, Yang Zhang, Tianlin Zhang, Xuan Zhang, Ye Jiang, Jing Li

Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 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

Towards Interpretable Mental Health Analysis with Large Language Models.

Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Ziyan Kuang, Sophia Ananiadou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Large Kernel Distillation Network for Efficient Single Image Super-Resolution.

Chengxing Xie, Xiaoming Zhang, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.

Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge.

Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media.

Tianlin Zhang, Kailai Yang, Sophia Ananiadou

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

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

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

Progressive edge-sensing dynamic scene deblurring.

Tianlin Zhang, Jinjiang Li, Hui Fan

Comput. Vis. Media, 2022

Fake News Detection Based on Multi-Modal Classifier Ensemble.

Yi Shao, Jiande Sun, Tianlin Zhang, Ye Jiang, Jianhua Ma, Jing Li

Proceedings of the MAD@ICMR 2022: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation, Newark, NJ, USA, June 27, 2022

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare.

Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

A Lightweight 3D Segmentation Network for Abdominal Liver in CT Image.

Junlin Zhao, Tianlin Zhang, Ling Gao, Wenbo Wan, Jian Wang

Proceedings of the 6th International Conference on Advances in Image Processing, 2022

2021

SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing Images.

Zhenyu Cui, Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, Wei Zhao

IEEE Trans. Geosci. Remote. Sens., 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, Shaosheng Fan, Yijia Cao

J. Intell. Robotic Syst., 2021

Iterative multi-scale residual network for deblurring.

Tianlin Zhang, Jinjiang Li, Zhen Hua

IET Image Process., 2021

CSFQGD: Chinese Sentence Fill-in-the-blank Question Generation Dataset for Examination.

Tianlin Zhang, Zhenyu Cui, Jiaxu Leng, Ying Liu

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier.

Hassan Alhuzali, Tianlin Zhang, Sophia Ananiadou

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

Robust Obstacle Detection and Recognition for Driver Assistance Systems.

Jiaxu Leng, Ying Liu, Dawei Du, Tianlin Zhang, Pei Quan

IEEE Trans. Intell. Transp. Syst., 2020

Deep learning for drug-drug interaction extraction from the literature: a review.

Tianlin Zhang, Jiaxu Leng, Ying Liu

Briefings Bioinform., 2020

AttentionFM: Incorporating Attention Mechanism and Factorization Machine for Credit Scoring.

Ying Liu, Wei Wang, Tianlin Zhang, Zhenyu Cui

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

A Brief Review of Receptive Fields in Graph Convolutional Networks.

Pei Quan, Yong Shi, Minglong Lei, Jiaxu Leng, Tianlin Zhang, Lingfeng Niu

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network.

Tianlin Zhang, Ying Liu, Zhenyu Cui, Jiaxu Leng, Weihong Xie, Liang Zhang

Proceedings of the Computational Science - ICCS 2019, 2019

CA-RPT: Context-Aware Road Passage Time Estimation for Urban Traffic.

Ying Liu, Zhenyu Cui, Tianlin Zhang, Jiaxu Leng, Weihong Xie, Liang Zhang

Proceedings of the Computational Science - ICCS 2019, 2019

A Novel Neuron Connection Model Mimicking Human Beings.

Jiaxu Leng, Zhenyu Cui, Chao Xiang, Tianlin Zhang, Pei Quan

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

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

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal.

Pei Quan, Yong Shi, Lingfeng Niu, Ying Liu, Tianlin Zhang

Proceedings of the 6th International Conference on Information Technology and Quantitative Management, 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

Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Context Learning Network for Object Detection.

Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

A Novel Data Mining Approach Towards Human Resource Performance Appraisal.

Pei Quan, Ying Liu, Tianlin Zhang, Yueran Wen, Kaichao Wu, Hongbo He, Yong Shi

Proceedings of the Computational Science - ICCS 2018, 2018

A Novel Parsing-Based Automatic Domain Terminology Extraction Method.

Ying Liu, Tianlin Zhang, Pei Quan, Yueran Wen, Kaichao Wu, Hongbo He

Proceedings of the Computational Science - ICCS 2018, 2018

Domain specific automatic Chinese multiple-type question generation.

Tianlin Zhang, Ying Liu, Pei Quan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Context-Aware U-Net for Biomedical Image Segmentation.

Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, Zhenyu Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018