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

• Representation Learning and Understanding
  • Text Representation from LLMs
  • Latent Reasoning for LLMs/MLLMs
  • Representation Probing and Analysis
  • Multimodal Representation Alignment
• Controllable & Trustworthy Generation
  • Inference-Time Steering and Test-Time Adaptation
  • Hallucination Detection and Mitigation
  • Controllable Image/Video Generation
  • Concept Erasure and Model Watermarking

Selected Publications | Full Publications

2026

• [ICML-2026] ScaleErasure: Inference-Time Minimal Intervention for Precise Concept Erasure in Next-Scale Autoregressive Image Generation,
  Cong Wang, Haiyu Wu, Zhiwei Jiang^✉, Zifeng Cheng, Fei Shen, Yafeng Yin, Qing Gu,
  International Conference on Machine Learning (ICML, CCF-A) , 2026.
• [ICML-2026] Multi-Label Test-Time Adaptation with Bayesian Conditional Priors,
  Qiru Li, Ao Zhou, Zhiwei Jiang^✉, Zifeng Cheng, Cong Wang, Yafeng Yin, Qing Gu,
  International Conference on Machine Learning (ICML, CCF-A) , 2026.
• [ACL-2026] Focusing Condition: Inference-Time Self-Contrastive Steering Elicits Better Conditional Text Embeddings in LLMs,
  Zifeng Cheng, Lingyun Qian, Zhiwei Jiang^✉, Cong Wang, Yafeng Yin, Fei Shen, Ao Zhou, Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL, CCF-A) , 2026.
• [ACL-2026] AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLM,
  Shufan Yang, Zifeng Cheng^✉, Zhiwei Jiang^✉, Qingfeng Qi, Yafeng Yin, Cong Wang, Ao Zhou, Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL, CCF-A) , 2026.
• [CVPR-2026] Rethinking BCE Loss for Multi-Label Image Recognition with Fine-Tuning,
  Ao Zhou, Zhiwei Jiang^✉, Zifeng Cheng, Cong Wang, Yafeng Yin, Shufan Yang, Qing Gu,
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A) , 2026.
• [AAAI-2026] RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection,
  Shufan Yang, Zifeng Cheng^✉, Zhiwei Jiang^✉, Yafeng Yin, Cong Wang, Shiping Ge, Yuchen Fu, and Qing Gu,
  AAAI Conference on Artificial Intelligence (AAAI, CCF-A) , 2026.

2025

• [NeurIPS-2025] Steering When Necessary: Flexible Steering Large Language Models with Backtracking,
  Zifeng Cheng, Jinwei Gan, Zhiwei Jiang^✉, Cong Wang, Yafeng Yin, Xiang Luo, Yuchen Fu, and Qing Gu,
  Annual Conference on Neural Information Processing Systems (NeurIPS, CCF-A) , 2025.
• [NeurIPS-2025] Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization,
  Cong Wang, Zexuan Deng, Zhiwei Jiang^✉, Yafeng Yin^✉, Fei Shen, Shiwei Gan, Zifeng Cheng, Shiping Ge, and Qing Gu,
  Annual Conference on Neural Information Processing Systems (NeurIPS, CCF-A) , 2025.
• [ACL-2025] Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs,
  Yuchen Fu, Zifeng Cheng, Zhiwei Jiang^✉, Zhonghui Wang, Yafeng Yin, Zhengliang Li, Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL, CCF-A) , 2025.
• [ACL-2025] Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering,
  Zifeng Cheng, Zhonghui Wang, Yuchen Fu, Zhiwei Jiang^✉, Yafeng Yin, Cong Wang, Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL, CCF-A) , 2025.
• [MM-2025] Cross-Modal Prototype Augmentation and Dual-Grained Prompt Learning for Social Media Popularity Prediction,
  Ao Zhou, Mingsheng Tu, Luping Wang, Tenghao Sun, Zifeng Cheng, Yafeng Yin, Zhiwei Jiang^✉, and Qing Gu,
  ACM International Conference on Multimedia (MM, CCF-A) , 2025.
• [MM-2025] Hierarchical Vision-Language Reasoning for Multimodal Multiple-Choice Question Answering,
  Ao Zhou, Zebo Gu, Luping Wang, Tenghao Sun, Jiawen Chen, Mingsheng Tu, Zifeng Cheng, Yafeng Yin, Zhiwei Jiang^✉, and Qing Gu,
  ACM International Conference on Multimedia (MM, CCF-A) , 2025.
• [AAAI-2025] Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning,
  Shiping Ge, Qiang Chen, Zhiwei Jiang^✉, Yafeng Yin, Liu Qin, Ziyao Chen, and Qing Gu,
  AAAI Conference on Artificial Intelligence (AAAI, CCF-A) , 2025.
• [ICLR-2025] Ensembling Diffusion Models via Adaptive Feature Aggregation,
  Cong Wang, Kuan Tian, Yonghang Guan, Fei Shen, Zhiwei Jiang^✉, Qing Gu, and Jun Zhang^✉,
  International Conference on Learning Representations (ICLR, CCF-A) , 2025.

2024

• [NeurIPS-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 (NeurIPS, CCF-A) , 2024.
• [SIGIR-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, CCF-A) , 2024.
• [TOIS-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, CCF-A) , 42(1): 32:1-32:27, 2024.

2023

• [ACL-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, CCF-A) , 12456-12470, 2023.
• [ACL-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, CCF-A) , 13999-14013, 2023.
• [SIGIR-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, CCF-A) , 1324-1334, 2023.
• [WWW-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, CCF-A) , 1510-1518, 2023.
• [MM-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, CCF-A) , 3446-3454, 2023.
• [AAAI-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, CCF-A) , 2483-2491, 2023.
• [TOIS-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, CCF-A) , 41(4): 105:1-105:27, 2023.

2026

• ScaleErasure: Inference-Time Minimal Intervention for Precise Concept Erasure in Next-Scale Autoregressive Image Generation,
  Cong Wang, Haiyu Wu, Zhiwei Jiang^✉, Zifeng Cheng, Fei Shen, Yafeng Yin, Qing Gu,
  International Conference on Machine Learning (ICML) , 2026.
• Multi-Label Test-Time Adaptation with Bayesian Conditional Priors,
  Qiru Li, Ao Zhou, Zhiwei Jiang^✉, Zifeng Cheng, Cong Wang, Yafeng Yin, Qing Gu,
  International Conference on Machine Learning (ICML) , 2026.
• Focusing Condition: Inference-Time Self-Contrastive Steering Elicits Better Conditional Text Embeddings in LLMs,
  Zifeng Cheng, Lingyun Qian, Zhiwei Jiang^✉, Cong Wang, Yafeng Yin, Fei Shen, Ao Zhou, Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL) , 2026.
• AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLM,
  Shufan Yang, Zifeng Cheng^✉, Zhiwei Jiang^✉, Qingfeng Qi, Yafeng Yin, Cong Wang, Ao Zhou, Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL) , 2026.
• Rethinking BCE Loss for Multi-Label Image Recognition with Fine-Tuning,
  Ao Zhou, Zhiwei Jiang^✉, Zifeng Cheng, Cong Wang, Yafeng Yin, Shufan Yang, Qing Gu,
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2026.
• Learning Effective Sign Features without Text for Gloss-free Sign Language Translation,
  Shiwei Gan, Xiao Liu, Yafeng Yin, Nan Liu, Kuizhuang Liu, Desibieer Tuerdaken, Zhiwei Jiang, Lei Xie, Sanglu Lu, Hongkai Wen,
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2026.
• SignPR: A Progressive Vector-Quantized Diffusion Framework for Sign Language Production,
  Xiao Liu, Shiwei Gan, Yafeng Yin, Bowen Guo, Zhiwei Jiang, Shunmei Meng, Lei Xie, Sanglu Lu,
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2026.
• RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection,
  Shufan Yang, Zifeng Cheng^✉, Zhiwei Jiang^✉, Yafeng Yin, Cong Wang, Shiping Ge, Yuchen Fu, and Qing Gu,
  AAAI Conference on Artificial Intelligence (AAAI) , 2026.

2025

• Steering When Necessary: Flexible Steering Large Language Models with Backtracking,
  Zifeng Cheng, Jinwei Gan, Zhiwei Jiang^✉, Cong Wang, Yafeng Yin, Xiang Luo, Yuchen Fu, and Qing Gu,
  Annual Conference on Neural Information Processing Systems (NeurIPS) , 2025.
• Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization,
  Cong Wang, Zexuan Deng, Zhiwei Jiang^✉, Yafeng Yin^✉, Fei Shen, Shiwei Gan, Zifeng Cheng, Shiping Ge, and Qing Gu,
  Annual Conference on Neural Information Processing Systems (NeurIPS) , 2025.
• MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes,
  Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Lei Xie, Sanglu Lu, and Hongkai Wen,
  Annual Conference on Neural Information Processing Systems (NeurIPS) , 2025.
• Cross-Modal Prototype Augmentation and Dual-Grained Prompt Learning for Social Media Popularity Prediction,
  Ao Zhou, Mingsheng Tu, Luping Wang, Tenghao Sun, Zifeng Cheng, Yafeng Yin, Zhiwei Jiang^✉, and Qing Gu,
  ACM International Conference on Multimedia (MM) , 2025.
• Hierarchical Vision-Language Reasoning for Multimodal Multiple-Choice Question Answering,
  Ao Zhou, Zebo Gu, Luping Wang, Tenghao Sun, Jiawen Chen, Mingsheng Tu, Zifeng Cheng, Yafeng Yin, Zhiwei Jiang^✉, and Qing Gu,
  ACM International Conference on Multimedia (MM) , 2025.
• Sentence-level Segmentation for Long Sign Language Videos with Captions,
  Bowen Guo, Shiwei Gan, Yafeng Yin, Xiao Liu, Zhiwei Jiang, and Shunmei Meng,
  ACM International Conference on Multimedia (MM) , 2025.
• Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs,
  Yuchen Fu, Zifeng Cheng, Zhiwei Jiang^✉, Zhonghui Wang, Yafeng Yin, Zhengliang Li, Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL) , 2025.
• Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering,
  Zifeng Cheng, Zhonghui Wang, Yuchen Fu, Zhiwei Jiang^✉, Yafeng Yin, Cong Wang, Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL) , 2025.
• Multi-Prompting Decoder Helps Better Language Understanding,
  Zifeng Cheng, Zhaoling Chen, Zhiwei Jiang^✉, Yafeng Yin, Cong Wang, Shiping Ge, Qing Gu,
  Annual Meeting of the Association for Computational Linguistics (ACL Findings) , 2025.
• LocAgent: Graph-Guided LLM Agents for Code Localization,
  Zhaoling Chen, Robert Tang, Gangda Deng, Fang Wu, Jialong Wu, Zhiwei Jiang, Viktor Prasanna, Arman Cohan, Xingyao Wang,
  Annual Meeting of the Association for Computational Linguistics (ACL) , 2025.
• LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models,
  Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, WangYan, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi,
  Annual Meeting of the Association for Computational Linguistics (ACL) , 2025.
• Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning,
  Shiping Ge, Qiang Chen, Zhiwei Jiang^✉, Yafeng Yin, Liu Qin, Ziyao Chen, and Qing Gu,
  AAAI Conference on Artificial Intelligence (AAAI) , 2025.
• Ensembling Diffusion Models via Adaptive Feature Aggregation,
  Cong Wang, Kuan Tian, Yonghang Guan, Fei Shen, Zhiwei Jiang^✉, Qing Gu, and Jun Zhang^✉,
  International Conference on Learning Representations (ICLR) , 2025.
• Fine-Grained Alignment Network for Zero-Shot Cross-Modal Retrieval,
  Shiping Ge, Zhiwei Jiang^✉, Yafeng Yin, Cong Wang, Zifeng Cheng, and Qing Gu,
  ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) , 2025.
• LLM-BL: Large Language Models are Zero-Shot Rankers for Bug Localization,
  Zhengliang Li, Zhiwei Jiang^✉, Qiguo Huang, and Qing Gu,
  IEEE International Conference on Program Comprehension (ICPC) , 2025.

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 (NeurIPS) , 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.
• 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) , 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.
• 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, 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) , 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) , 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) , 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) , 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) , 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) , 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) , 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) , 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) , 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) , 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) , 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) , 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) , 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) , 130:106410, 2021.
• Survey on Information Retrieval-based Software Bug Localization Methods,
  Zhengliang Li, Xiang Chen, Zhiwei Jiang, Qing Gu,
  Journal of Software (JoS) , 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 and before

• A Symmetric Local Search Network for Emotion-Cause Pair Extraction,
  Zifeng Cheng, Zhiwei Jiang^✉, Yafeng Yin, Hua Yu, Qing Gu,
  Proceedings of the 28th International Conference on Computational Linguistics (COLING) , 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.
• 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) , 70(5):433–447, 2019.
• Enriching Word Embeddings with Domain Knowledge for Readability Assessment,
  Zhiwei Jiang, Qing Gu, Yafeng Yin, and Daoxu Chen,
  International Conference on Computational Linguistics (COLING) , 366-378, 2018.
• A Graph-based Readability Assessment Method using Word Coupling,
  Zhiwei Jiang, Gang Sun, Qing Gu, Tao Bai, and Daoxu Chen,
  Conference on Empirical Methods in Natural Language Processing (EMNLP) , 411-420, 2015.
• An Extended Graph- Based Label Propagation Method for Readability Assessment,
  Zhiwei Jiang, Gang Sun, Qing Gu, Lixia Yu, and Daoxu Chen,
  Asia-Pacific Web Conference (APWeb) , 485--496, 2015.
• An Ordinal Multi-class Classification Method for Readability Assessment of Chinese Documents,
  Zhiwei Jiang, Gang Sun, Qing Gu, and Daoxu Chen,
  International Conference on Knowledge Science, Engineering and Management (KSEM) , 61--72, 2014.
• Linear Model Incorporating Feature Ranking for Chinese Documents Readability,
  Gang Sun, Zhiwei Jiang, Qing Gu, and Daoxu Chen,
  International Symposium on Chinese Spoken Language Processing (ISCSLP) , 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
  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) , 13–24, 2013.
• Factor Analysis for Influence Maximization Problem in Social Networks,
  Xing Shang, Xiang Chen, Zhiwei Jiang, Qing Gu, and Daoxu Chen
  ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) , 95-101, 2012.