秦景辉 QIN JINGHUI 讲师 职称：讲师 所属学院：信息工程学院 导师类别：硕导 职务：讲师 科研方向：自然语言处理，多模态人工智能, 计算机视觉 联系方式：qinjinghui@gdut.edu.cn 硕士招生学院：信息工程学院

个人简述： 本人本硕博均毕业于中山大学，于2022年12月加入广东工业大学信息工程学院，主要从事自然语言处理，多模态人工智能，计算机视觉等方向的研究，包括数学解题，对话系统，图像超分辨率，推荐算法等细分方向。

教育背景：

工作经历：

2014-2016 广州云晫信息科技有限公司  工程师

2020-2022 中山大学   博士后

主要论文：

• Chen J, Tang J, Qin J, et al. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning[C]//Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 2021: 513-523.

• Qin J, Liang X, Hong Y, et al. Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks[C]//Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021: 5870-5881.

• Yang Z C, Qin J, Chen J, et al. Unbiased Math Word Problems Benchmark for Mitigating Solving Bias[C]//Findings of the Association for Computational Linguistics: NAACL 2022. 2022: 1401-1408.

• Yang Z, Qin J, Chen J, et al. LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning[C]//Findings of the Association for Computational Linguistics: EMNLP 2022. 2022: 1-13.

• Li H, Qin J, Yang Z, et al. Real-world image super-resolution by exclusionary dual-learning[J]. IEEE Transactions on Multimedia, 2022.

• Qin J, Zhang R. Lightweight single image super-resolution with attentive residual refinement network[J]. Neurocomputing, 2022, 500: 846-855.

• Zhong S, Qin J, Huang Z, et al. CEM: Machine-Human Chatting Handoff via Causal-Enhance Module[C]//Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022: 3242-3253.

• Chen J, Li T, Qin J, et al. UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression[C]//Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022: 3313-3323.

• Zhong S, Wen W, Qin J. SPEM: Self-adaptive Pooling Enhanced Attention Module for Image Recognition[C]//International Conference on Multimedia Modeling. Cham: Springer Nature Switzerland, 2023: 41-53.

• Qin J, Yang Z, Chen J, et al. Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023.

• S. Zhong, W. Wen, J. Qin, Q. Chen and Z. Huang, "LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem," in 2023 IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, 2023 pp. 2051-2056.

• Zhong S, Huang Z, Wen W, et al. ESA: Excitation-Switchable Attention for convolutional neural networks[J]. Neurocomputing, 2023, 557: 126706.

• Chen Q, Qin J, Wen W. ALAN: Self-Attention Is Not All You Need for Image Super-Resolution[J]. IEEE Signal Processing Letters, 2023.

• Qian M, Zheng Y, Qin J, et al. HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System[C]//Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023: 10281-10290.

• Chen Q, Qin J, Wen W. RepECN: Making ConvNets Better Again for Efficient Image Super-Resolution[J]. Sensors, 2023, 23(23): 9575.

• Chen Y, Tan J, Yang Z, et al. Unsupervised multi-perspective fusing semantic alignment for cross-modal hashing retrieval[J]. Multimedia Tools and Applications, 2024: 1-22.

• Xian X, Zhou Q, Qin J, et al. CROSE: Low-light enhancement by CROss-SEnsor interaction for nighttime driving scenes[J]. Expert Systems with Applications, 2024: 123470.

• Chen Q, Huang J, Wen W, et al. CAT: Continual Adapter Tuning for aspect sentiment classification[J]. Neurocomputing, 2024: 127423.

• Qin J, Huang Y, Wen W. Multi-scale feature fusion residual network for Single Image Super-Resolution[J]. 2020.

• Qin J, Ye Z, Tang J, et al. Dynamic knowledge routing network for target-guided open-domain conversation[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2020, 34(05): 8657-8664.

• Li Z, Qin J, Wen W. Delay-guaranteed task allocation in mobile edge computing with balanced resource utilization[C]//Proceedings of the 2020 4th International Conference on High Performance Compilation, Computing and Communications. 2020: 35-41.

• Huang L, Ye Z, Qin J, et al. GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems[C]//Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020: 9230-9240.

• Qin J, Lin L, Liang X, et al. Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems[C]//Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020: 3780-3789.

• Chen X, Dong C, Qin J, et al. Label-Attentive Hierarchical Network for Document Classification[C]//Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence. 2020: 1-6.

• Lu L, Qin J, Jie Z, et al. RecFormer: Recurrent Multi-modal Transformer with History-Aware Contrastive Learning for Visual Dialog[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Singapore: Springer Nature Singapore, 2023: 159-171.

• Wang C, Dong C, Qin J, et al. Energy-efficient offloading policy for resource allocation in distributed mobile edge computing[C]//2018 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2018: 00366-00372.

• Wang C, Qin J, Yang X, et al. Energy-efficient offloading policy in D2D underlay communication integrated with MEC service[C]//Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications. 2019: 159-164.

• Shi Y, Qin J, Wei P, et al. Perceptual image enhancement by relativistic discriminant learning with cross-scale aggregated representation[J]. IEEE Access, 2019, 7: 39660-39669.

• Qin J, Xie Z, Shi Y, et al. Difficulty-aware image super resolution via deep adaptive dual-network[C]//2019 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2019: 586-591.

• Huang Y, Yang Q, Qin J, et al. Phishing URL detection via CNN and attention-based hierarchical RNN[C]//2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2019: 112-119.

• Huang Y, Qin J, Wen W. Phishing URL detection via capsule-based neural network[C]//2019 IEEE 13th International Conference on Anti-counterfeiting, Security, and Identification (ASID). IEEE, 2019: 22-26.

知识产权：

• CN201510701751 一种外网客户端接入私有云云桌面方法

• CN201610805160 基于虚拟桌面和虚拟操作系统的自适应云桌面服务系统

• CN201710128026 一种多CDN辅助的多层云的直播分发系统

• CN201910886251 一种基于深度学习的层次化钓鱼网站检测方法

科研项目：

• 国家自然科学基金-青年科学基金，知识增强的表示学习模型及其在应用题求解中的应用

• 广东省自然科学基金-面上项目，初等数学应用题求解关键技术研究

• 中国博士后科学基金-面上项目(第70批)，融合知识和图推理的初等数学应用题求解关键技术研究

教学活动：数据挖掘、高级程序语言设计、python网页爬虫