PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. - Andrey Ignatov; Radu Timofte; Thang Van Vu; Tung Minh Luu; Trung X. Pham; Cao Van Nguyen; Yongwoo Kim; Jae-Seok Choi; Munchurl Kim; Jie Huang 017; Jiewen Ran; Chen Xing; et al. (ECCV Workshops (5), 2018)

Energy-efficient Offloading Policy for Resource Allocation in Distributed Mobile Edge Computing. - Chang Wang; Chongwu Dong; Jinghui Qin; Xiaoxing Yang; Wushao Wen (ISCC, 2018)

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. - Jianrui Cai; Shuhang Gu; Radu Timofte; Lei Zhang 006; Xiao Liu 022; Yukang Ding; Dongliang He; Chao Li 034; Yi Fu; Shilei Wen; Ruicheng Feng; Jinjin Gu; et al. (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Image Enhancement: Methods and Results. - Andrey Ignatov; Radu Timofte; Xiaochao Qu; Xingguang Zhou; Ting Liu; Pengfei Wan 001; Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Dongwon Park; et al. (CVPR Workshops, 2019)

Energy-efficient offloading policy in D2D underlay communication integrated with MEC service. - Chang Wang; Jinghui Qin; Xiaoxing Yang; Wushao Wen (HP3C, 2019)

Difficulty-Aware Image Super Resolution via Deep Adaptive Dual-Network. - Jinghui Qin; Ziwei Xie; Yukai Shi; Wushao Wen (ICME, 2019)

Phishing URL Detection via CNN and Attention-Based Hierarchical RNN. - Yongjie Huang; Qiping Yang; Jinghui Qin; Wushao Wen (TrustCom/BigDataSE, 2019)

Perceptual Image Enhancement by Relativistic Discriminant Learning With Cross-Scale Aggregated Representation. - Yukai Shi; Jinghui Qin; Pengxu Wei; Wanli Ouyang; Liang Lin (IEEE Access, 2019)

Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation. - Jinghui Qin; Zheng Ye; Jianheng Tang; Xiaodan Liang (AAAI, 2020)

Label-Attentive Hierarchical Network for Document Classification. - Xi Chen; Chongwu Dong; Jinghui Qin; Long Yin; Wushao Wen (ACAI, 2020)

GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems. - Lishan Huang; Zheng Ye; Jinghui Qin; Liang Lin; Xiaodan Liang (EMNLP (1), 2020)

Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. - Jinghui Qin; Lihui Lin; Xiaodan Liang; Rumin Zhang; Liang Lin (EMNLP (1), 2020)

Delay-guaranteed Task Allocation in Mobile Edge Computing with Balanced Resource Utilization. - Zijie Li; Jinghui Qin; Wushao Wen (HP3C, 2020)

MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System. - Wenge Liu; Jianheng Tang; Jinghui Qin; Lin Xu; Zhen Li 024; Xiaodan Liang (CoRR, 2020)

Multi-scale feature fusion residual network for Single Image Super-Resolution. - Jinghui Qin; Yongjie Huang; Wushao Wen (Neurocomputing, 2020)

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. - Jiaqi Chen; Jianheng Tang; Jinghui Qin; Xiaodan Liang; Lingbo Liu; Eric P. Xing; Liang Lin (ACL/IJCNLP (Findings), 2021)

Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. - Jinghui Qin; Xiaodan Liang; Yining Hong; Jianheng Tang; Liang Lin (ACL/IJCNLP (1), 2021)

Content-adaptive Representation Learning for Fast Image Super-resolution. - Yukai Shi; Jinghui Qin (CoRR, 2021)

A Multiblockchain-Oriented Decentralized Market Framework for Frequency Regulation Service. - Qian Wang 047; Zhao Luo; Kezhen Liu; Tao Ding; Xin Shen; Xi Mo; Jinghui Qin; Leidan Chen (IEEE Trans. Ind. Informatics, 2021)

UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. - Jiaqi Chen; Tong Li; Jinghui Qin; Pan Lu; Liang Lin; Chongyu Chen; Xiaodan Liang (EMNLP, 2022)

LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. - Zhicheng Yang; Jinghui Qin; Jiaqi Chen; Liang Lin; Xiaodan Liang (EMNLP (Findings), 2022)

CEM: Machine-Human Chatting Handoff via Causal-Enhance Module. - ShanShan Zhong; Jinghui Qin; Zhongzhan Huang; Daifeng Li (EMNLP, 2022)

Unbiased Math Word Problems Benchmark for Mitigating Solving Bias. - Zhicheng Yang; Jinghui Qin; Jiaqi Chen; Xiaodan Liang (NAACL-HLT (Findings), 2022)

Mix-Pooling Strategy for Attention Mechanism. - ShanShan Zhong; Wushao Wen; Jinghui Qin (CoRR, 2022)

Switchable Self-attention Module. - ShanShan Zhong; Wushao Wen; Jinghui Qin (CoRR, 2022)

Causal Inference for Chatting Handoff. - ShanShan Zhong; Jinghui Qin; Zhongzhan Huang; Daifeng Li (CoRR, 2022)

Deepening Neural Networks Implicitly and Locally via Recurrent Attention Strategy. - ShanShan Zhong; Wushao Wen; Jinghui Qin; Zhongzhan Huang (CoRR, 2022)

Lightweight single image super-resolution with attentive residual refinement network. - Jinghui Qin; Rumin Zhang (Neurocomputing, 2022)

LWGSS: Light-Weight Green Spill Suppression for Green Screen Matting. - Anhui Bai; Zhijing Yang; Jinghui Qin; Yukai Shi; Kai Li (BICS, 2023)

HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System. - Mingjie Qian; Yongsen Zheng; Jinghui Qin; Liang Lin (EMNLP, 2023)

Understanding Self-attention Mechanism via Dynamical System Perspective. - Zhongzhan Huang; Mingfu Liang; Jinghui Qin; Shanshan Zhong; Liang Lin (ICCV, 2023)

LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem. - Shanshan Zhong; Wushao Wen; Jinghui Qin; Qiangpu Chen; Zhongzhan Huang (ICME, 2023)

Multi-view Graph Representation Learning via Mutual Learning for Drug RecommendationDrug Recommendation via Multi-view Graph Learning. - Liang Wang; Wushao Wen; Jinghui Qin (IoTAAI, 2023)

SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models. - Shanshan Zhong; Zhongzhan Huang; Wushao Wen; Jinghui Qin; Liang Lin (ACM Multimedia, 2023)

SPEM: Self-adaptive Pooling Enhanced Attention Module for Image Recognition. - ShanShan Zhong; Wushao Wen; Jinghui Qin (MMM (2), 2023)

RecFormer: Recurrent Multi-modal Transformer with History-Aware Contrastive Learning for Visual Dialog. - Liucun Lu; Jinghui Qin; Zequn Jie; Lin Ma 002; Liang Lin; Xiaodan Liang (PRCV (1), 2023)

ASR: Attention-alike Structural Re-parameterization. - ShanShan Zhong; Zhongzhan Huang; Wushao Wen; Jinghui Qin; Liang Lin (CoRR, 2023)

ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data Fusion. - Jinghui Qin; Lihuang Fang; Ruitao Lu; Liang Lin; Yukai Shi (IEEE Geosci. Remote. Sens. Lett., 2023)

Real-World Image Super-Resolution by Exclusionary Dual-Learning. - Hao Li 058; Jinghui Qin; Zhijing Yang; Pengxu Wei; Jinshan Pan; Liang Lin; Yukai Shi (IEEE Trans. Multim., 2023)

ESA: Excitation-Switchable Attention for convolutional neural networks. - Shanshan Zhong; Zhongzhan Huang; Wushao Wen; Zhijing Yang; Jinghui Qin (Neurocomputing, 2023)

Cross-modal hash retrieval based on semantic multiple similarity learning and interactive projection matrix learning. - Junpeng Tan; Zhijing Yang; Jielin Ye; Ruihan Chen; Yongqiang Cheng 001; Jinghui Qin; Yongfeng Chen (Inf. Sci., 2023)

RepECN: Making ConvNets Better Again for Efficient Image Super-Resolution. - Qiangpu Chen; Jinghui Qin; Wushao Wen (Sensors, 2023)

Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. - Qingyi Liu; Jinghui Qin; Wenxuan Ye; Hao Mou; Yuxuan He; Keze Wang (AAAI, 2024)

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. - Yongsen Zheng; Ziliang Chen 001; Jinghui Qin; Liang Lin (AAAI, 2024)

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation. - Yongsen Zheng; Ruilin Xu 006; Ziliang Chen 001; Guohua Wang; Mingjie Qian; Jinghui Qin; Liang Lin (ACL (1), 2024)

A Method for Predicting the RUL of HDDs Based on Bidirectional LSTM and Transformer. - ZeHong Wu; Jinghui Qin; Zhijing Yang; Yongyi Lu (BICS (2), 2024)

Stripe Observation Guided Inference Cost-Free Attention Mechanism. - Zhongzhan Huang; Shanshan Zhong; Wushao Wen; Jinghui Qin; Liang Lin (ECCV (24), 2024)

DEEPAM: Toward Deeper Attention Module in Residual Convolutional Neural Networks. - Shanshan Zhong; Wushao Wen; Jinghui Qin; Zhongzhan Huang (ICANN (1), 2024)

Exploring Out-of-Distribution Scene Text Recognition for Driving Scenes with Hybrid Test-Time Adaptation. - Xiaoyu Xian; Jinghui Qin; Yukai Shi; Daxin Tian; Liang Lin (PRCV (1), 2024)

Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. - Shanshan Zhong; Zhongzhan Huang; Daifeng Li; Wushao Wen; Jinghui Qin; Liang Lin (WWW, 2024)

Mental-Perceiver: Audio-Textual Multimodal Learning for Mental Health Assessment. - Jinghui Qin; Changsong Liu; Tianchi Tang; Dahuang Liu; Minghao Wang; Qianying Huang; Yang Xu; Rumin Zhang (CoRR, 2024)

CROSE: Low-light enhancement by CROss-SEnsor interaction for nighttime driving scenes. - Xiaoyu Xian; Qi Zhou; Jinghui Qin; Xiaojun Yang; Yin Tian; Yukai Shi; Daxin Tian (Expert Syst. Appl., 2024)

CAT: Continual Adapter Tuning for aspect sentiment classification. - Qiangpu Chen; Jiahua Huang; Wushao Wen; Qingling Li; Rumin Zhang; Jinghui Qin (Neurocomputing, 2024)

GlobalSR: Global context network for single image super-resolution via deformable convolution attention and fast Fourier convolution. - Qiangpu Chen; Wushao Wen; Jinghui Qin (Neural Networks, 2024)

Improving span-based Aspect Sentiment Triplet Extraction with part-of-speech filtering and contrastive learning. - Qingling Li; Wushao Wen; Jinghui Qin (Neural Networks, 2024)

ALAN: Self-Attention Is Not All You Need for Image Super-Resolution. - Qiangpu Chen; Jinghui Qin; Wushao Wen (IEEE Signal Process. Lett., 2024)

An Introspective Data Augmentation Method for Training Math Word Problem Solvers. - Jinghui Qin; Zhongzhan Huang; Ying Zeng; Quanshi Zhang; Liang Lin (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration. - Tianshui Chen; Weihang Wang 008; Tao Pu 002; Jinghui Qin; Zhijing Yang; Jie Liu 022; Liang Lin (IEEE Trans. Image Process., 2024)

Unsupervised multi-perspective fusing semantic alignment for cross-modal hashing retrieval. - Yongfeng Chen; Junpeng Tan; Zhijing Yang; Yukai Shi; Jinghui Qin (Multim. Tools Appl., 2024)

Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving. - Jinghui Qin; Zhicheng Yang; Jiaqi Chen; Xiaodan Liang; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Enhancing Vision and Language Navigation With Prompt-Based Scene Knowledge. - Zhaohuan Zhan; Jinghui Qin; Wei Zhuo 006; Guang Tan (IEEE Trans. Circuits Syst. Video Technol., 2024)

CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation. - Yongsen Zheng; Jinghui Qin; Pengxu Wei; Ziliang Chen 001; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders. - Jinghui Qin; Changsong Liu; Tianchi Tang; Dahuang Liu; Minghao Wang; Qianying Huang; Rumin Zhang (AAAI, 2025)

Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models. - Lei Tang; Jinghui Qin; Wenxuan Ye; Hao Tan; Zhijing Yang (AAAI, 2025)

Boundary-Driven Table-Filling with Cross-Granularity Contrastive Learning for Aspect Sentiment Triplet Extraction. - Qingling Li; Wushao Wen; Jinghui Qin (ICASSP, 2025)

DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation. - Wenkuan Zhao; Shanshan Zhong; Yifan Liu; Wushao Wen; Jinghui Qin; Mingfu Liang; Zhongzhan Huang (WWW, 2025)

DBFSNet: dual-branch frequency and spatial fusion network for real-world social media image super-resolution. - Kexin Sun; Jinghui Qin; Junyang Chen 002; Zhijing Yang; Tianshui Chen (J. Electronic Imaging, 2025)

Learning Semantic-aware Representation in Visual-Language Models for Multi-label Recognition with Partial Labels. - Haoxian Ruan; Zhihua Xu; Zhijing Yang; Yongyi Lu; Jinghui Qin; Tianshui Chen (ACM Trans. Multim. Comput. Commun. Appl., 2025)

PSCNet: Long sequence time-series forecasting for photovoltaic power via period selection and cross-variable attention. - Hao Tan; Jinghui Qin; Zizheng Li; Weiyan Wu (Appl. Intell., 2025)