Zhiwei Jiang 蒋智威 PhD, Assistant Professor（姑苏青年教授 & 特聘研究员） State Key Laboratory for Novel Software Technology, School of Intelligence Software and Engineering, Nanjing University, China Email: jzw AT nju.edu.cn Office: Room 224, East of Nanyong Building, Suzhou Campus

About Me

I am currently a tenure-track assistant professor in the School of Intelligence Software and Engineering, Nanjing University. I received my Ph.D. degree from Nanjing University in 2018 under the supervision of Prof. Qing Gu, and received my B.Eng. degree from Central South University in 2011.

I am recruiting Ph.D., Master and Undergraduate students.
现招收博士、硕士以及南京大学本科生，对自然语言处理方向感兴趣的同学，欢迎随时邮件联系。

Research Interests

• Natural Language Processing
  • Large Language Model
  • Representation Learning
  • Text Classification
  • Text Mining for Software Engineering
• Language and Vision
  • Multimodal Understanding
  • Text-to-Image Diffusion Model
• Machine Learning
  • Deep Learning
  • Graph-based Learning
  • Weakly-Supervised Learning
  • Ordinal Classification

Publications

2024

• AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models,
  Yuchen Fu, Zhiwei Jiang*, Yuliang Liu, Cong Wang, Zexuan Deng, Zhaoling Chen, and Qing Gu,
  Annual Conference on Neural Information Processing Systems (NeurIPS2024) , 2024.
• Short Video Ordering via Position Decoding and Successor Prediction,
  Shiping Ge, Qiang Chen, Zhiwei Jiang*, Yafeng Yin, Ziyao Chen, and Qing Gu,
  International Conference on Research and Development in Information Retrieval (SIGIR 2024) , 2024.
• Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling,
  Zifeng Cheng, Qingyu Zhou, Zhiwei Jiang*, Xuemin Zhao, Yunbo Cao, and Qing Gu,
  ACM Transactions on Information Systems (TOIS 2024) , 42(1): 32:1-32:27, 2024.
• SignGraph: A Sign Sequence is Worth Graphs of Nodes,
  Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Hongkai Wen, Lei Xie, and Sanglu Lu,
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024) , 2024.
• A Systematic Review of Human Activity Recognition based on Mobile Devices: Overview, Progress and Trends,
  Yafeng Yin, Lei Xie, Zhiwei Jiang, Fu Xiao, Jiannong Cao, and Sanglu Lu,
  IEEE Communications Surveys and Tutorials (COMST 2024, Impact Factor: 35.6) , 2024.

2023

• Improving Domain Generalization for Prompt-Aware Essay Scoring via Disentangled Representation Learning,
  Zhiwei Jiang*, Tianyi Gao, Yafeng Yin, Meng Liu, Hua Yu, Zifeng Cheng and Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL 2023) , 12456-12470, 2023.
• Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring,
  Cong Wang, Zhiwei Jiang*, Yafeng Yin, Zifeng Cheng, Shiping Ge and Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL 2023) , 13999-14013, 2023.
• Unsupervised Readability Assessment via Learning from Weak Readability Signals,
  Yuliang Liu, Zhiwei Jiang*, Yafeng Yin, Cong Wang, Sheng Chen, Zhaoling Chen, and Qing Gu,
  International Conference on Research and Development in Information Retrieval (SIGIR 2023) , 1324-1334, 2023.
• Learning Robust Multi-Modal Representation for Multi-Label Emotion Recognition via Adversarial Masking and Perturbation,
  Shiping Ge, Zhiwei Jiang*, Zifeng Cheng, Cong Wang, Yafeng Yin, and Qing Gu,
  The Web Conference (WWW 2023) , 1510-1518, 2023.
• Learning Event-Specific Localization Preferences for Audio-Visual Event Localization,
  Shiping Ge, Zhiwei Jiang*, Yafeng Yin, Cong Wang, Zifeng Cheng, and Qing Gu,
  ACM International Conference on Multimedia (MM 2023) , 3446-3454, 2023.
• Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning,
  Cong Wang, Zhiwei Jiang*, Yafeng Yin, Zifeng Cheng, Shiping Ge, and Qing Gu,
  AAAI Conference on Artificial Intelligence (AAAI 2023) , 2483-2491, 2023.
• A Consistent Dual-MRC Framework for Emotion-Cause Pair Extraction,
  Zifeng Cheng, Zhiwei Jiang*, Yafeng Yin, Cong Wang, Shiping Ge, and Qing Gu,
  ACM Transactions on Information Systems (TOIS 2023) , 41(4): 105:1-105:27, 2023.
• Towards Real-Time Sign Language Recognition and Translation on Edge Devices,
  Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Lei Xie, and Sanglu Lu,
  ACM International Conference on Multimedia (MM 2023) , 4502-4512, 2023.
• Contrastive Learning for Sign Language Recognition and Translation,
  Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Kang Xia, Lei Xie, and Sanglu Lu,
  International Joint Conference on Artificial Intelligence (IJCAI 2023) , 763-772, 2023.

2022

• Learning to Classify Open Intent via Soft Labeling and Manifold Mixup,
  Zifeng Cheng, Zhiwei Jiang*, Yafeng Yin, Cong Wang, and Qing Gu,
  IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP 2022) , 30:635-645, 2022.
• Siamese Adversarial Network for Image Classification of Heavy Mineral Grains,
  Huizhen Hao, Zhiwei Jiang*, Shiping Ge, Cong Wang, and Qing Gu,
  Computers & Geosciences , 159:105016, 2022.

2021

• Learning from Graph Propagation via Ordinal Distillation for One-Shot Automated Essay Scoring,
  Zhiwei Jiang*, Meng Liu, Yafeng Yin, Hua Yu, Zifeng Cheng, Qing Gu,
  The Web Conference (WWW 2021) , 2347-2356, 2021.
• A Unified Target-Oriented Sequence-to-Sequence Model for Emotion-Cause Pair Extraction,
  Zifeng Cheng, Zhiwei Jiang*, Yafeng Yin, Na Li, and Qing Gu,
  IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP 2021) , 29:2779-2791, 2021.
• Skeleton-Aware Neural Sign Language Translation,
  Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Lei Xie, and Sanglu Lu,
  ACM International Conference on Multimedia (MM 2021) , 4353-4361, 2021.
• Laprob: A Label Propagation-Based Software Bug Localization Method,
  Zhengliang Li, Zhiwei Jiang, Xiang Chen, Kaibo Cao, Qing Gu,
  Information & Software Technology (IST 2021) , 130:106410, 2021.
• Survey on Information Retrieval-based Software Bug Localization Methods,
  Zhengliang Li, Xiang Chen, Zhiwei Jiang, Qing Gu,
  Journal of Software (JoS 2021) , 32(2): 247-276, 2021.
• SiamFuseNet: A Pseudo-Siamese Network for Detritus Detection from Polarized Microscopic Images of River Sands,
  Cong Wang, Shiping Ge, Zhiwei Jiang, Huizhen Hao, Qing Gu,
  Computers & Geosciences , 156:104912, 2021.
• Dual-input Attention Network for Automatic Identification of Detritus from River Sands,
  Shiping Ge, Cong Wang, Zhiwei Jiang, Huizhen Hao, Qing Gu,
  Computers & Geosciences , 151:104735, 2021.

2020

• A Symmetric Local Search Network for Emotion-Cause Pair Extraction,
  Zifeng Cheng, Zhiwei Jiang*, Yafeng Yin, Hua Yu, Qing Gu,
  in Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020) , 139–149, 2020.
• A Multi-Task Multi-Class Learning Method for Automatic Identification of Heavy Minerals from River Sand,
  Na Li, Huizhen Hao, Zhiwei Jiang, Feng Jiang, Ronghua Guo, Qing Gu, Xiumian Hu,
  Computers & Geosciences , 135:104403, 2020.

2019 and before

• GRAW+: A Two-View Graph Propagation Method with Word Coupling for Readability Assessment,
  Zhiwei Jiang, Qing Gu, Yafeng Yin, Jianxiang Wang, and Daoxu Chen,
  Journal of the Association for Information Science and Technology (JASIST 2019) , 70(5):433–447, 2019.
• Enriching Word Embeddings with Domain Knowledge for Readability Assessment,
  Zhiwei Jiang, Qing Gu, Yafeng Yin, and Daoxu Chen,
  in Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018) , 366-378, 2018.
• A Graph-based Readability Assessment Method using Word Coupling,
  Zhiwei Jiang, Gang Sun, Qing Gu, Tao Bai, and Daoxu Chen,
  in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015) , 411-420, 2015.
• An Extended Graph- Based Label Propagation Method for Readability Assessment,
  Zhiwei Jiang, Gang Sun, Qing Gu, Lixia Yu, and Daoxu Chen,
  in Proceedings of the 17th Asia-Pacific Web Conference (APWeb 2015) , 485--496, 2015.
• An Ordinal Multi-class Classification Method for Readability Assessment of Chinese Documents,
  Zhiwei Jiang, Gang Sun, Qing Gu, and Daoxu Chen,
  in Proceedings of the 7th International Conference on Knowledge Science, Engineering and Management (KSEM 2014) , 61--72, 2014.
• Linear Model Incorporating Feature Ranking for Chinese Documents Readability,
  Gang Sun, Zhiwei Jiang, Qing Gu, and Daoxu Chen,
  in Proceedings of the 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014) , 29--33, 2014.
• Product and user dependent social network models for recommender systems,
  Min Li, Zhiwei Jiang, Bin Luo, Jiubin Tang, Qing Gu, and Daoxu Chen
  in Proceedings of the 2013 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013) , 13–24, 2013.
• Factor Analysis for Influence Maximization Problem in Social Networks,
  Xing Shang, Xiang Chen, Zhiwei Jiang, Qing Gu, and Daoxu Chen
  in Proceedings of the 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2012) , 95-101, 2012.