Selected Publications
Preprints
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V-Express: Conditional Dropout for Progressive Training of Portrait
Video Generation.
Cong Wang, Kuan Tian, Jun Zhang, Yonghang Guan, Feng Luo, Fei Shen, Zhiwei Jiang, Qing Gu, Xiao Han, Wei
Yang
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Multi-Prompting Decoder Helps Better Language
Understanding.
Zifeng Cheng, Zhaoling Chen, Zhiwei Jiang, Yafeng Yin, Shiping Ge, Yuliang Liu, Qing Gu
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Ensembling Diffusion Models via Adaptive Feature
Aggregation.
Cong Wang, Kuan Tian, Yonghang Guan, Jun Zhang, Zhiwei Jiang, Fei Shen, Xiao Han, Qing Gu, Wei Yang
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ML-Bench: Large Language Models Leverage Open-source Libraries for
Machine Learning Tasks.
Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian
Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming
Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman
Cohan, Mark Gerstein
Journal
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[TOIS] Unifying Token and Span Level Supervisions for Few-Shot
Sequence Labeling.
Zifeng Cheng, Qingyu Zhou, Zhiwei Jiang, Xuemin Zhao, Yunbo Cao, Qing Gu
ACM Transactions on Information Systems. 2023. (CCF A)
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[TOIS] A Consistent Dual-MRC Framework for Emotion-Cause Pair
Extraction.
Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Shiping Ge, Qing Gu
ACM Transactions on Information Systems. 2022. (CCF A)
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[TASLP] Learning to Classify Open Intent via Soft Labeling and
Manifold Mixup.
Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Qing Gu
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2022. (CCF
B)
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[TSE] Revisiting Supervised and Unsupervised Methods for
Effort-Aware Cross-Project Defect Prediction.
Chao Ni, Xin Xia, David Lo, Xiang Chen, Qing Gu
IEEE Transactions on Software Engineering. 2021. (CCF A)
Invited to ICSE 2021 (CCF A) as part of the Journal First Paper Track
[Link]
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[TASLP] A Unified Target-Oriented Sequence-to-Sequence Model for
Emotion-Cause Pair Extraction.
Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Na Li, Qing Gu
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2021. (CCF
B)
[Link]
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[IST] LaProb: A Label Propagation Based Software Bug Localization
Method.
Zhengliang Li, Zhiwei Jiang, Xiang Chen, Kaibo Cao, Qing Gu
Information and Software Technology. 2021, 130: 106410:1-106410:15. (CCF B)
[Link]
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[JSEP] Multi-task Defect Prediction.
Chao Ni, Xiang Chen, Xin Xia, Qing Gu, Yingquan Zhao
Journal of Software: Evolution and Process. 2019, 31(12): e2203 (CCF
B)
Invited to ICSME 2019 (CCF B) as part of the Journal First Paper Track
[Link]
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[JSS] An Empirical Study on Pareto Based Multi-objective Feature
Selection for Software Defect Prediction.
Chao Ni, Xiang Chen, Fangfang Wu, Yuxiang Shen, Qing Gu
Journal of Systems and Software. 2019, 152: 215-238. (CCF B) [Link]
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[JCST] DP-Share: Privacy-preserving Software Defect Prediction Model
Sharing through Differential Privacy.
Xiang Chen, Dun Zhang, Zhanqi Cui, Qing Gu, Xiaolin Ju
Journal of Computer Science and Technology. 2019, 34(5): 1020-1038. (CCF
B) [Link]
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[JASIST] 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. 2019, 152: 215-238. (CCF B) [Link]
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[JCST] A Cluster Based Feature Selection Method for Cross-Project Software
Defect Prediction. Chao Ni, Wangshu Liu, Xiang Chen, Qing Gu, Daoxu Chen, Qiguo Huang
Journal of Computer Science and Technology, 2017,32(6):1090-1107. (CCF
B) [Link]
Conference
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[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, Qing Gu,
In Proceedings of the 38th Annual Conference on Neural Information Processing Systems
(NeurIPS2024). 2024. (CCF A)
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[SIGIR-2024] Short Video Ordering via Position Decoding and Successor
Prediction.
Shiping Ge, Qiang Chen, Zhiwei Jiang, Yafeng Yin, Ziyao Chen, Qing Gu,
In Proceedings of the 47th International Conference on Research and Development in Information
Retrieval (SIGIR2024). 2024. (CCF A)
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[MM-2023] Learning Event-Specific Localization Preferences for
Audio-Visual Event Localization.
Shiping Ge, Zhiwei Jiang, Yafeng Yin, Cong Wang, Zifeng Cheng, Qing Gu,
In Proceedings of the ACM International Conference on Multimedia (MM2023). 2023. (CCF A)
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[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, Qing Gu,
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics
(ACL2023). 2023. (CCF A)
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[ACL-2023] Aggregating Multiple Heuristic Signals as Supervision for
Unsupervised Automated Essay Scoring.
Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu,
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics
(ACL2023). 2023. (CCF A)
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[SIGIR-2023] Unsupervised Readability Assessment via Learning from
Weak Readability Signals.
Yuliang Liu, Zhiwei Jiang, Yafeng Yin, Cong Wang, Sheng Chen, Zhaoling Chen, Qing Gu,
In Proceedings of the 46th International Conference on Research and Development in Information
Retrieval (SIGIR2023). 2023. (CCF A)
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[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, Qing Gu,
In Proceedings of the Web Conference 2023 (WWW2023). 2023. (CCF A)
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[AAAI-2023] Controlling Class Layout for Deep Ordinal Classification
via Constrained Proxies Learning.
Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu,
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI2023). 2023. (CCF A)
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[IJCAI-2021] Modeling General Properties of Nouns by Selectively
Averaging Contextualised Embeddings.
Na Li, Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Qing Gu, Steven Schockaert,
In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
(IJCAI2021). 2021, 3850-3856. (CCF A)
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[WWW-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,
In Proceedings of the Web Conference 2021 (WWWW2021). 2021, 2347-2356. (CCF
A)
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[COLING-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).
2020, 139-149.
(CCF B)
[Link]
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[COLING-2018] 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).
2018, 366-378. (CCF B)
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[EMNLP-2015] 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). 2015, 411-420. (CCF B)
国内一级学报
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[软件学报] 基于信息检索的软件缺陷定位方法综述。
李政亮,陈翔,蒋智威,顾庆
软件学报。2021,32(2):247-276。(一级学报) [Link]
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[软件学报] 基于特征迁移和实例迁移的跨项目缺陷预测方法。
倪超,陈翔,刘望舒,顾庆,黄启国,李娜
软件学报。2019,30(5):1308-1329。(一级学报) [Link]
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[计算机学报] 跨项目软件缺陷预测方法研究综述。 陈翔,王莉萍,顾庆,王赞,倪超,刘望舒,王秋萍
计算机学报, 2018,41(1):254-274。 (一级学报) [Link]
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[计算机学报] 一种面向软件缺陷预测的可容忍噪声的特征选择框架。 刘望舒,陈翔,顾庆,刘树龙,陈道蓄
计算机学报, 2018,41(3):506-520。 (一级学报) [Link]
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[中国科学:信息科学] 软件缺陷预测中基于聚类分析的特征选择方法。 刘望舒,陈翔,顾庆,刘树龙,陈道蓄
中国科学:信息科学, 2016,46(9):1298–1320。 (一级学报) [Link]
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[软件学报] 静态软件缺陷预测方法研究。 陈翔,顾庆,刘望舒,刘树龙,倪超
软件学报, 2016,27(1):1-25。 (一级学报) [Link]
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