An SRP Target Mode to Improve Read Performance of SRP-Based IB-SANs. - Zhiying Jiang; Jin He; Jizhong Han; Xigui Wang; Yonghao Zhou; Xubin He (ISPA, 2007)

Chengyu Cloze Test. - Zhiying Jiang; Boliang Zhang; Lifu Huang; Heng Ji 001 (BEA@NAACL-HLT, 2018)

Deep Layer Prior Optimization for Single Image Rain Streaks Removal. - Risheng Liu; Zhiying Jiang; Long Ma 002; Xin Fan 001; Haojie Li; Zhongxuan Luo (ICASSP, 2018)

Prior-guided deep residual propagation for non-blind image deconvolution. - Long Ma 002; Zhiying Jiang; Risheng Liu; Xin Fan 001 (ICIMCS, 2018)

Distributed Line Formation Control in Swarm Robots. - Zhiying Jiang; Xin Wang 030; Jian Yang 001 (ICIA, 2018)

Single Image Layer Separation via Deep Admm Unrolling. - Risheng Liu; Zhiying Jiang; Xin Fan 001; Haojie Li; Zhongxuan Luo (ICME, 2018)

Describing a Knowledge Base. - Qingyun Wang 005; Xiaoman Pan; Lifu Huang; Boliang Zhang; Zhiying Jiang; Heng Ji 001; Kevin Knight (INLG, 2018)

A Nonuniform Method for Extracting Attractive Structures From Images. - Yiyang Wang 001; Zhiying Jiang; Zhixun Su (Int. J. Grid High Perform. Comput., 2018)

PaperRobot: Incremental Draft Generation of Scientific Ideas. - Qingyun Wang 005; Lifu Huang; Zhiying Jiang; Kevin Knight; Heng Ji 001; Mohit Bansal; Yi Luan (ACL (1), 2019)

深度卷积先验引导的鲁棒图像层分离方法及其应用 (Deep Convolutional Prior Guided Robust Image Separation Method and Its Applications). - Zhiying Jiang; Risheng Liu (计算机科学, 2019)

Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond. - Risheng Liu; Xin Fan 001; Minjun Hou; Zhiying Jiang; Zhongxuan Luo; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2019)

The Emerging Business Models - Chong Guan; Zhiying Jiang; Ding Ding (WorldScientific, 2020)

Evaluating Pretrained Transformer Models for Citation Recommendation. - Rodrigo Nogueira 001; Zhiying Jiang; Kyunghyun Cho; Jimmy Lin (BIR@ECIR, 2020)

Do User Reviews Matter? Empirical Evidence on the Role of User Involvement in App Performance. - Miriam Erne; Zhiying Jiang; Vanessa Liu (Bled eConference, 2020)

Inserting Information Bottleneck for Attribution in Transformers. - Zhiying Jiang; Raphael Tang; Ji Xin; Jimmy Lin (EMNLP (Findings), 2020)

Document Ranking with a Pretrained Sequence-to-Sequence Model. - Rodrigo Nogueira 001; Zhiying Jiang; Ronak Pradeep; Jimmy Lin (EMNLP (Findings), 2020)

Investigating the Effect of User Reviews on Mobile Apps: The Role of Customer Led Innovation. - Miriam Erne; Zhiying Jiang; Vanessa Liu (TDIT (1), 2020)

Document Ranking with a Pretrained Sequence-to-Sequence Model. - Rodrigo Nogueira 001; Zhiying Jiang; Jimmy Lin (CoRR, 2020)

Inserting Information Bottlenecks for Attribution in Transformers. - Zhiying Jiang; Raphael Tang; Ji Xin; Jimmy Lin (CoRR, 2020)

Navigation-based candidate expansion and pretrained language models for citation recommendation. - Rodrigo Nogueira 001; Zhiying Jiang; Kyunghyun Cho; Jimmy Lin (Scientometrics, 2020)

Knowledge-Driven Deep Unrolling for Robust Image Layer Separation. - Risheng Liu; Zhiying Jiang; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Neural Networks Learn. Syst., 2020)

How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks. - Zhiying Jiang; Raphael Tang; Ji Xin; Jimmy Lin (BlackboxNLP@EMNLP, 2021)

Investigating the Limitations of the Transformers with Simple Arithmetic Tasks. - Rodrigo Nogueira 001; Zhiying Jiang; Jimmy Lin (CoRR, 2021)

Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records. - Liting Huang; Zhiying Jiang; Ruichu Cai; Li Li; Qinqun Chen; Jiaming Hong; Zhifeng Hao; Hang Wei 001 (BMC Medical Informatics Decis. Mak., 2021)

A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion. - Risheng Liu; Jinyuan Liu 001; Zhiying Jiang; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Image Process., 2021)

The World Is Our Classroom: Developing a Model for International Virtual Internships - The Global Innovations Project. - Paul Doyle; Brian Keegan; Damian Gordon; Anna Becevel; J. Paul Gibson; Zhiying Jiang; Dympna O'Sullivan (CSEDU (1), 2022)

Towards All Weather and Unobstructed Multi-Spectral Image Stitching: Algorithm and Benchmark. - Zhiying Jiang; Zengxi Zhang; Xin Fan 001; Risheng Liu (ACM Multimedia, 2022)

Few-Shot Non-Parametric Learning with Deep Latent Variable Model. - Zhiying Jiang; Yiqin Dai; Ji Xin; Ming Li 001; Jimmy Lin (NeurIPS, 2022)

Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers. - Ji Xin; Raphael Tang; Zhiying Jiang; Yaoliang Yu; Jimmy Lin (CoRR, 2022)

What the DAAM: Interpreting Stable Diffusion Using Cross Attention. - Raphael Tang; Akshat Pandey; Zhiying Jiang; Gefei Yang; Karun Kumar; Jimmy Lin; Ferhan Ture (CoRR, 2022)

Less is More: Parameter-Free Text Classification with Gzip. - Zhiying Jiang; Matthew Y. R. Yang; Mikhail Tsirlin; Raphael Tang; Jimmy Lin (CoRR, 2022)

Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement. - Zhiying Jiang; Zhuoxiao Li; Shuzhou Yang; Xin Fan 001; Risheng Liu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond. - Risheng Liu; Zhiying Jiang; Shuzhou Yang; Xin Fan 001 (IEEE Trans. Image Process., 2022)

"Low-Resource" Text Classification: A Parameter-Free Classification Method with Compressors. - Zhiying Jiang; Matthew Y. R. Yang; Mikhail Tsirlin; Raphael Tang; Yiqin Dai; Jimmy Lin (ACL (Findings), 2023)

What the DAAM: Interpreting Stable Diffusion Using Cross Attention. - Raphael Tang; Linqing Liu; Akshat Pandey; Zhiying Jiang; Gefei Yang; Karun Kumar; Pontus Stenetorp; Jimmy Lin; Ferhan Ture (ACL (1), 2023)

Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers. - Ji Xin; Raphael Tang; Zhiying Jiang; Yaoliang Yu; Jimmy Lin (ACL (Findings), 2023)

Multi-Spectral Image Stitching via Spatial Graph Reasoning. - Zhiying Jiang; Zengxi Zhang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction. - Gehui Li; Jinyuan Liu 001; Long Ma 002; Zhiying Jiang; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond. - Zengxi Zhang; Zhiying Jiang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

A Theory of Human-Like Few-Shot Learning. - Zhiying Jiang; Rui Wang; Dongbo Bu; Ming Li (CoRR, 2023)

Modality-Invariant Representation for Infrared and Visible Image Registration. - Zhiying Jiang; Zengxi Zhang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (CoRR, 2023)

Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining. - Zhiying Jiang; Risheng Liu; Shuzhou Yang; Zengxi Zhang; Xin Fan 001 (CoRR, 2023)

Approximating Human-Like Few-shot Learning with GPT-based Compression. - Cynthia Huang; Yuqing Xie 001; Zhiying Jiang; Jimmy Lin; Ming Li 001 (CoRR, 2023)

Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception. - Zengxi Zhang; Zhiying Jiang; Zeru Shi; Jinyuan Liu 001; Risheng Liu (CoRR, 2023)

HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion. - Jinyuan Liu 001; Guanyao Wu; Junsheng Luan; Zhiying Jiang; Risheng Liu; Xin Fan 001 (Inf. Fusion, 2023)

A unified image fusion framework with flexible bilevel paradigm integration. - Jinyuan Liu 001; Zhiying Jiang; Guanyao Wu; Risheng Liu; Xin Fan 001 (Vis. Comput., 2023)

Examining the Usefulness of Customer Reviews for Mobile Applications: The Role of Developer Responsiveness. - Zhiying Jiang; Vanessa Liu; Miriam Erne (J. Database Manag., 2023)

Bilevel modeling investigated generative adversarial framework for image restoration. - Zhiying Jiang; Zengxi Zhang; Yiyao Yu; Risheng Liu (Vis. Comput., 2023)

Publisher Correction: Bilevel modeling investigated generative adversarial framework for image restoration. - Zhiying Jiang; Zengxi Zhang; Yiyao Yu; Risheng Liu (Vis. Comput., 2023)

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks. - Zhiying Jiang; Xingyuan Li 005; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (AAAI, 2024)

Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis. - Yang Zou 004; Xingyuan Li 005; Zhiying Jiang; Jinyuan Liu 001 (AAAI, 2024)

AEAM3D: Adverse Environment-Adaptive Monocular 3D Object Detection via Feature Extraction Regularization. - Yixin Lei; Xingyuan Li 005; Zhiying Jiang; Xinrui Ju; Jinyuan Liu 001 (ICASSP, 2024)

Adaptive Multi-Exposure Fusion for Enhanced Neural Radiance Fields. - Yang Zou 004; Xingyuan Li 005; Zhiying Jiang; Tiantian Yan; Jinyuan Liu 001 (ICASSP, 2024)

From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion. - Xingyuan Li 005; Yang Zou 004; Jinyuan Liu 001; Zhiying Jiang; Long Ma 002; Xin Fan 001; Risheng Liu (CoRR, 2024)

SeFENet: Robust Deep Homography Estimation via Semantic-Driven Feature Enhancement. - Zeru Shi; Zengxi Zhang; Zhiying Jiang; Ruizhe An; Jinyuan Liu 001 (CoRR, 2024)

Leveraging a self-adaptive mean teacher model for semi-supervised multi-exposure image fusion. - Qianjun Huang; Guanyao Wu; Zhiying Jiang; Wei Fan 011; Bin Xu 003; Jinyuan Liu 001 (Inf. Fusion, 2024)

Multiscale Synergism Ensemble Progressive and Contrastive Investigation for Image Restoration. - Zhiying Jiang; Shuzhou Yang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (IEEE Trans. Instrum. Meas., 2024)

Multispectral Image Stitching via Global-Aware Quadrature Pyramid Regression. - Zhiying Jiang; Zengxi Zhang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (IEEE Trans. Image Process., 2024)

Holistic Dynamic Frequency Transformer for image fusion and exposure correction. - Xiaoke Shang; Gehui Li; Zhiying Jiang; Shaomin Zhang; Nai Ding; Jinyuan Liu 001 (Inf. Fusion, 2024)

DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution. - Xingyuan Li; Zirui Wang; Yang Zou; Zhixin Chen; Jun Ma; Zhiying Jiang; Long Ma; Jinyuan Liu (CVPR, 2025)

DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion. - Jinyuan Liu 001; Bowei Zhang; Qingyun Mei; Xingyuan Li 005; Yang Zou 004; Zhiying Jiang; Long Ma 002; Risheng Liu; Xin Fan 001 (CVPR, 2025)

DRNet: Learning a dynamic recursion network for chaotic rain streak removal. - Zhiying Jiang; Risheng Liu; Shuzhou Yang; Zengxi Zhang; Xin Fan 001 (Pattern Recognit., 2025)

DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution. - Xingyuan Li 005; Zirui Wang; Yang Zou 004; Zhixin Chen; Jun Ma; Zhiying Jiang; Long Ma 002; Jinyuan Liu 001 (CoRR, 2025)

PromptFusion: Harmonized Semantic Prompt Learning for Infrared and Visible Image Fusion. - Jinyuan Liu 001; Xingyuan Li 005; Zirui Wang; Zhiying Jiang; Wei Zhong; Wei Fan 011; Bin Xu 003 (IEEE CAA J. Autom. Sinica, 2025)

Infrared and Visible Image Fusion: From Data Compatibility to Task Adaption. - Jinyuan Liu 001; Guanyao Wu; Zhu Liu 004; Di Wang 018; Zhiying Jiang; Long Ma 002; Wei Zhong; Xin Fan 001; Risheng Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning. - Zengxi Zhang; Zhiying Jiang; Long Ma 002; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (Int. J. Comput. Vis., 2025)