Jing Jiang

Professor

School of Computing and Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902

Phone: (+65) 6828 0785
Email: jingjiang at smu dot edu dot sg

[ Home ] [ Research ] [ Publications ] [ Group ]

Selected Publications

You can also refer to my Google Scholar page.

2022
[ACL'22] An Empirical Study of Memorization in NLP. [bib]
Xiaosen Zheng and Jing Jiang
In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022.
[ACL'22] Exploring and Adapting Chinese GPT to Pinyin Input Method. [bib]
Minghuan Tan, Yong Dai, Duyu Tang, Zhangyin Feng, Guoping Huang, Jing Jiang, Jiwei Li and Shuming Shi
In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022.
[ACL'22] Translate-Train Embracing Translationese Artifacts. [bib]
Sicheng Yu, Qianru Sun, Hao Zhang, Jing Jiang
In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (short paper), 2022.
[EMNLP'22] Interventional Training for Out-Of-Distribution Natural Language Understanding. [bib]
Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun and Lidong Bing
In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2022.
[EMNLP'22] Prompting for Multimodal Hateful Meme Classification. [bib]
Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong and Jing Jiang
In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2022.
[AACL'22] VLStereoSet: A Study of Stereotypical Bias in Pre-trained Vision-Language Models. [bib]
Kankan Zhou, Eason Lai and Jing Jiang
In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022.
[COLING'22] ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. [bib]
Cunxiao Du, Zhaopeng Tu, Longyue Wang, Jing Jiang
In Proceedings of the 29th International Conference on Computational Linguistics, 2022.
[WWW'22] VICTOR: An Implicit Approach to Mitigate Misinformation via Continuous Verification Reading.
Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang and Lun-Wei Ku
In Proceedings of the ACM Web Conference, 2022.
[ICASSP'22] Context Modeling with Evidence Filter for Multiple Choice Question Answering.
Sicheng Yu, Hao Zhang, Wei Jing and Jing Jiang
In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, 2022.

2021
[ACL'21] Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering. [bib]
Yunshi Lan and Jing Jiang
In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics, 2021.
[ACL'21] COSY: COunterfactual SYntax for Cross-Lingual Understanding. [bib]
Sicheng Yu, Hao Zhang, Yulei Niu, Qianru Sun and Jing Jiang
In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics, 2021.
[ICML'21] Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation.
Cunxiao Du, Zhaopeng Tu and Jing Jiang
In Proceedings of the 38th International Conference on Machine Learning, 2021.
[IJCAI'21] A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions.
Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao and Ji-Rong Wen
In Proceedings of the 30th International Joint Conference on Artificial Intelligence, 2021.
[WSDM'21] Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals.
Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao and Ji-Rong Wen
In Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021.
[EACL'21] Cross-Topic Rumor Detection using Topic-Mixtures. [bib]
Xiaoying Ren, Jing Jiang, Ling Min Serena Khoo and Hai Leong Chieu
In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (short paper), 2021.
[RANLP'21] Learning and Evaluating Chinese Idiom Embeddings. [bib]
Minghuan Tan and Jing Jiang
In Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2021.
[RANLP'21] Does BERT Understand Idioms? A Probing-Based Empirical Study of BERT Encodings of Idioms. [bib]
Minghuan Tan and Jing Jiang
In Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2021.
[MM'21] Disentangling Hate in Online Memes.
Roy Ka-Wei Lee, Rui Cao, Ziqing Fan, Jing Jiang and Wen-Haw Chong
In Proceedings of the 29th ACM International Conference on Multimedia, 2021.

2020
[EMNLP'20] Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations. [bib]
Jianfei Yu, Jing Jiang, Ling Min Serena Khoo, Hai Leong Chieu and Rui Xia
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020.
[EMNLP'20] Cross-Thought for Sentence Encoder Pre-training. [bib]
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu and Jing Jiang
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020.
[ACL'20] Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer. [bib]
Jianfei Yu, Jing Jiang, Li Yang and Rui Xia
In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020.
[ACL'20] Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases. [bib]
Yunshi Lan and Jing Jiang
In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (short paper), 2020.
[AAAI'20] Interpretable Rumor Detection in Microblogs by Attending to User Interactions. [bib]
Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian and Jing Jiang
In Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020.
[AAAI'20] Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching. [bib]
Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang and Jingjing Liu
In Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020.
[COLING'20] A BERT-based Dual Embedding Model for Chinese Idiom Prediction. [bib]
Minghuan Tan and Jing Jiang
In Proceedings of the 28th International Conference on Computational Linguistics, 2020.
[TASLP] Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification.
Jianfei Yu, Jing Jiang and Rui Xia
IEEE/ACM Trans. Audio, Speech & Language Processing 28: 429-439, 2020

2019
[IJCAI'19] Knowledge Base Question Answering with Topic Units. [bib]
Yunshi Lan, Shuohang Wang and Jing Jiang
In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019.
[IJCAI'19] Adapting BERT for Target-Oriented Multimodal Sentiment Classification. [bib]
Jianfei Yu and Jing Jiang
In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019.
[NAACL'19] Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. [bib]
Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao and Jing Jiang
In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, 2019.
[ICDM'19] Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model.
Yunshi Lan, Shuohang Wang and Jing Jiang
In Proceedings of 2019 IEEE International Conference on Data Mining, 2019.
[CIKM'19] Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder.
Yufei Tian, Jianfei Yu and Jing Jiang
In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (short paper), 2019.
[TASLP] Knowledge Base Question Answering With a Matching-Aggregation Model and Question-Specific Contextual Relations.
Yunshi Lan, Shuohang Wang and Jing Jiang
IEEE/ACM Trans. Audio, Speech & Language Processing 27(10): 1629-1638, 2019
[TASLP] Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks.
Jianfei Yu, Jing Jiang and Rui Xia
IEEE/ACM Trans. Audio, Speech & Language Processing 27(1): 168-177, 2019

2018
[EMNLP'18] Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network. [bib]
Jianfei Yu, Luis Marujo, Jing Jiang, Pradeep Karuturi and William Brendel
In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (short paper), 2018.
[COLING'18] Embedding WordNet Knowledge for Textual Entailment. [bib]
Yunshi Lan and Jing Jiang
In Proceedings of the 27th International Conference on Computational Linguistics, 2018.
[ACL'18] A Co-Matching Model for Multi-choice Reading Comprehension. [bib]
Shuohang Wang, Mo Yu, Jing Jiang and Shiyu Chang
In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (short paper), 2018.
[ICLR'18] Evidence aggregation for answer re-ranking in open-domain question answering.
Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger and Gerald Tesauro.
In Proceedings of the 6th International Conference on Learning Representations, 2018.
[AAAI'18] R3: Reinforced ranker-reader for open-domain question answering.
Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou and Jing Jiang
In Proceedings of the 32nd AAAI Conference on Artificial Intelligence, 2018.
[WSDM'18] Modelling domain relationships for transfer learning on retrieval-based question answering systems in E-commerce.
Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu and Haiqing Chen.
In Proceedings of the 11th ACM International Conference on Web Search and Data Mining, 2018.

2017
[ACL'17] Can syntax help? Improving an LSTM-based sentence compression model for new domains. [bib]
Liangguo Wang, Jing Jiang, Hai Leong Chieu, Chen Hui Ong, Dandan Song and Lejian Liao.
In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017.
[ICLR'17] Machine comprehension using match-LSTM and answer pointer.
Shuohang Wang and Jing Jiang.
In Proceedings of the 5th International Conference on Learning Representations, 2017.
[ICLR'17] A compare-aggregate model for matching text sequences.
Shuohang Wang and Jing Jiang.
In Proceedings of the 5th International Conference on Learning Representations, 2017.
[AAAI'17] Recurrent neural networks with auxiliary labels for cross-domain opinion target extraction.
Ying Ding, Jianfei Yu and Jing Jiang.
In Proceedings of the 31st AAAI Conference on Artificial Intelligence, 2017.
[PAKDD'17] A neural network model for semi-supervised review aspect identification.
Ying Ding, Changlong Yu and Jing Jiang.
In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2017.

2016
[EMNLP'16] Learning sentence embeddings with auxiliary tasks for cross-domain sentiment classification. [bib]
Jianfei Yu and Jing Jiang.
In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016.
[COLING'16] Hashtag recommendation with topical attention-based LSTM. [bib]
Yang Li, Ting Liu, Jing Jiang and Liang Zhang.
In Proceedings of the 26th International Conference on Computational Linguistics, 2016.
[COLING'16] Pairwise relation classification with mirror instances and a combined convolutional neural network. [bib]
Jianfei Yu and Jing Jiang.
In Proceedings of the 26th International Conference on Computational Linguistics, 2016.
[NAACL'16] Learning natural language inference with LSTM. [bib]
Shuohang Wang and Jing Jiang.
In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics, 2016.
[ICDE'16] SLR: A scalable latent role model for attribute completion and tie prediction in social networks.
Lizi Liao, Qirong Ho, Jing Jiang and Ee-Peng Lim.
In Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016.

2015
[ACL'15] A hassle-free unsupervised domain adaptation method using instance similarity features. [bib]
Jianfei Yu and Jing Jiang.
In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (short paper), 2015.
[IJCAI'15] Topic modeling with document relative similarities.
Jianguang Du, Jing Jiang, Dandan Song and Lejian Liao.
In Proceedings of the 24th International Joint Conference on Artificial Intelligence, 2015.
[SDM'15] Modeling user arguments, interactions, and attributes for stance prediction in online debate forums.
Minghui Qiu, Yanchuan Sim, Noah Smith and Jing Jiang.
In Proceedings of the 2015 SIAM International Conference on Data Mining, 2015.
[RANLP'15] Towards opinion summarization from online forums. [bib]
Ying Ding and Jing Jiang.
In Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2015.
[RANLP'15] A joint model of product properties, aspects and ratings for online reviews. [bib]
Ying Ding and Jing Jiang.
In Proceedings of the International Conference on Recent Advances in Natural Language Processing (poster paper), 2015.
[SocInfo'15] Modeling social media content with word vectors for recommendation.
Ying Ding and Jing Jiang.
In Proceedings of the 7th International Conference on Social Informatics, 2015.

2014
[AAAI'14] Lifetime lexical variation in social media.
Lizi Liao, Jing Jiang, Ying Ding, Heyan Huang and Ee-Peng Lim
In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 2014.
[COLING'14] Generating supplementary travel guides from social media. [bib] [slides (pptx)]
Liu Yang, Jing Jiang, Lifu Huang, Minghui Qiu and Lizi Liao
In Proceedings of the 25th International Conference on Computational Linguistics, 2014.
[SDM'14] Recurrent Chinese restaurant process with a duration-based discount for event identification from Twitter.
Qiming Diao and Jing Jiang
In Proceedings of the 2014 SIAM International Conference on Data Mining, 2014.
[ICDM'14] ShellMiner: Mining organizational phrases in argumentative texts in social media.
Jianguang Du, Jing Jiang, Liu Yang, Dandan Song, and Lejian Liao
In Proceedings of the 2014 IEEE International Conference on Data Mining (short paper), 2014.
[AIRS'14] Extracting interest tags from Twitter user biographies. [slides (ppt)]
Ying Ding and Jing Jiang
In Proceedings of the 10th Asia Information Retrieval Societies Conference, 2014.
[HT'14] A study of age gaps between online friends.
Lizi Liao, Jing Jiang, Ee-Peng Lim and Heyan Huang
In Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014.
[KDD'14] Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS).
Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang and Chong Wang
In Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014.
[PAKDD'14] An integrated model for user attribute discovery: A case study on political affiliation identification.
Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu and Jing Jiang
In Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2014.

2013
[EMNLP'13] A unified model for topics, events and users on Twitter. [bib]
Qiming Diao and Jing Jiang
In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013.
[EMNLP'13] Learning topics and positions from Debatepedia. [bib]
Swapna Gottipati, Minghui Qiu, Yanchuan Sim, Jing Jiang and Noah A. Smith
In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013.
[NAACL'13] A latent variable model for viewpoint discovery from threaded forum posts. [bib]
Minghui Qiu and Jing Jiang
In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics, 2013.
[NAACL'13] Mining user relations from online discussions using sentiment analysis and probabilistic matrix factorization. [bib]
Minghui Qiu, Liu Yang and Jing Jiang
In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics, 2013.
[IP&M] Automatically building templates for entity summary construction.
Peng Li, Yinglin Wang and Jing Jiang
Information Processing & Management, 49(1), 330-340, 2013.
[SDM'13] It is not just what we say, but how we say them: LDA-based behavior-topic model.
Minghui Qiu, Feida Zhu and Jing Jiang
In Proceedings of the 2013 SIAM International Conference on Data Mining, 2013.
[CIKM'13] Modeling interaction features for debate side clustering.
Minghui Qiu, Liu Yang and Jing Jiang
In Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (short paper), 2013.
[CIKM'13] CQARank: Jointly model topics and expertise in community question answering.
Liu Yang, Minghui Qiu, Swapna Gottipati, Feida Zhu, Jing Jiang, Huiping Sun, Zhong Chen
In Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013.
[SocInfo'13] Predicting user's political party using ideological stances.
Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu and Jing Jiang
In Proceedings of the 5th International Conference on Social Informatics, 2013. (Best Paper Runner-up)
[ICDM'13] TopicSketch: Real-time bursty topic detection from Twitter.
Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim and Ke Wang
In Proceedings of the 13th IEEE International Conference on Data Mining, 2013.

2012
[ACL'12] Finding bursty topics from microblogs. [bib]
Qiming Diao, Jing Jiang, Feida Zhu and Ee-Peng Lim
In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012.
[COLING'12] Finding thoughtful comments from social media. [bib]
Swapna Gottipati and Jing Jiang
In Proceedings of the 24th International Conference on Computational Linguistics, 2012.
[COLING'12] Extracting and normalizing entity-actions from users' comments. [bib]
Swapna Gottipati and Jing Jiang
In Proceedings of the 24th International Conference on Computational Linguistics (poster paper), 2012.
[EMNLP'12] Joint learning for coreference resolution with Markov logic. [bib]
Yang Song, Jing Jiang, Wayne Xin Zhao, Sujian Li and Houfeng Wang
In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012.
[EMNLP'12] Identifying event-related bursts via social media activities. [bib]
Wayne Xin Zhao, Baihan Shu, Jing Jiang, Yang Song, Hongfei Yan and Xiaoming Li
In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012.
[AIRS'12] Query-oriented keyphrase extraction.
Minghui Qiu, Yaliang Li and Jing Jiang
In Proceedings of the 8th Asian Information Retrieval Societies Conference, 2012.
[SocialCom'12] What's public feedback? Linking high quality feedback to social issues using social media.
Swapna Gottipati and Jing Jiang
In Proceedings of the 2012 ASE/IEEE International Conference on Social Computing (poster paper), 2012.
[BookChapter] Information extraction from text.
Jing Jiang
In Charu C. Aggarwal and ChengXiang Zhai (Eds.), Mining Text Data, Springer, 2012.
[TMIS] Who is retweeting the Tweeters? Modeling, originating, and promoting behaviors in the Twitter network.
Palakorn Achananuparp, Ee-Peng Lim, Jing Jiang and Tuan-Anh Hoang
ACM Transactions on Management Information Systems, 3(3):13, October 2012.
[HICSS'12] Tweets and votes: A study of the 2011 Singapore general election.
Marko Skoric, Nathaniel Poor, Palakorn Achananuparp, Ee-Peng Lim and Jing Jiang
In Proceedings of the 45th Hawaii International Conference on System Science, 2012.

2011
[ACL'11] Topical keyphrase extraction from Twitter. [bib]
Wayne Xin Zhao, Jing Jiang, Jing He, Yang Song, Palakorn Achanauparp, Ee-Peng Lim and Xiaoming Li
In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, 2011.
[EMNLP'11] Linking entities to a knowledge base with query expansion. [bib]
Swapna Gottipati and Jing Jiang
In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2011.
[EMNLP'11] Unsupervised information extraction with distributional prior knowledge. [bib]
Cane W. Leung, Jing Jiang, Kian Ming A. Chai, Hai Leong Chieu and Loo-Nin Teow
In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2011.
[EMNLP'11] Generating aspect-oriented multi-document summarization with event-aspect model. [bib]
Peng Li, Yinglin Wang, Wei Gao and Jing Jiang
In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2011.
[ECIR'11] Comparing Twitter and traditional media using topic models.
Wayne Xin Zhao, Jing Jiang, Jianshu Weng, Jing He, Ee-Peng Lim, Hongfei Yan and Xiaoming Li
In Proceedings of the 33rd European Conference on Information Retrieval, 2011. (ECIR 2021 Test of Time Award)
[IJCNLP'11] Extracting relation descriptors with conditional random fields. [bib]
Yaliang Li, Jing Jiang, Hai Leong Chieu and Kian Ming A. Chai
In Proceedings of the 5th International Joint Conference on Natural Language Processing, 2011.
[ASE'11] Finding relevant answers in software forums.
Swapna Gottipati, David Lo and Jing Jiang
In Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering, 2011.
[ASE'11] Towards more accurate retrieval of duplicate bug reports.
Chengnian Sun, David Lo, Siau-Cheng Khoo and Jing Jiang
In Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering, 2011.
[NAR] BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature.
Moushumi Sen Sarma, David Arcoleo, Radhika S. Khetani, Brant Chee, Xu Ling, Xin He, Jing Jiang, Qiaozhu Mei, ChengXiang Zhai and Bruce Schatz
Nucleic Acids Research, 39 (suppl 2), pages W462-W469, 2011.

2010
[ACL'10] Generating templates of entity summaries with an entity-aspect model and pattern mining. [bib] [slides (pptx)] [slides (pdf)]
Peng Li, Jing Jiang and Yinglin Wang
In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, 2010.
[EMNLP'10] Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid. [bib]
Wayne Xin Zhao, Jing Jiang, Hongfei Yan and Xiaoming Li
In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010.
[WSDM'10] TwitterRank: Finding topic-sensitive influential Twitterers.
Jianshu Weng, Ee-Peng Lim, Jing Jiang and Qi He
In Proceedings of the Third ACM International Conference on Web Search and Data Mining, 2010. (WSDM 2020 Test of Time Award)
[CIKM'10] Context modeling for ranking and tagging bursty features in text streams.
Wayne Xin Zhao, Jing Jiang, Jing He, Xiaoming Li, Dongdong Shan and Hongfei Yan
In Proceedings of the 19th ACM Conference on Information and Knowledge Management (short paper), 2010.
[SocialCom'10] A probabilistic approach to personalized tag recommendation.
Meiqun Hu, Ee-Peng Lim, and Jing Jiang
In Proceedings of the IEEE Second International Conference on Social Computing, 2010.
[SDM'10] Do you trust to get trust? A study of trust reciprocity behaviors and reciprocal trust prediction.
Viet-An Nguyen, Ee-Peng Lim, Hwee-Hoon Tan, Jing Jiang and Aixin Sun
In Proceedings of the 2010 SIAM International Conference on Data Mining, 2010.
[ICSE'10] A discriminative model approach for accurate duplicate bug report retrieval.
Chengnian Sun, David Lo, Xiaoyin Wang, Jing Jiang and Siau-Cheng Khoo
In Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, 2010.

2009
[ACL'09] Multi-task transfer learning for weakly-supervised relation extraction. [bib] [slides (ppt)]
Jing Jiang
In Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics, 2009.
[ACL'09] Extracting paraphrases of technical terms from noisy parallel software corpus. [bib]
Xiaoyin Wang, David Lo, Jing Jiang, Lu Zhang and Hong Mei
In Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (short paper), 2009.
[ICDM'09] Modeling syntactic structures of topics with a nested HMM-LDA. [bib] [slides (ppt)] [slides (pdf)]
Jing Jiang
In Proceedings of the Ninth IEEE International Conference on Data Mining (short paper), 2009.
[ICDM'09] To trust or not to trust? Predicting online trusts using trust antecedent framework. [bib]
Viet-An Nguyen, Ee-Peng Lim, Jing Jiang and Aixin Sun
In Proceedings of the Ninth IEEE International Conference on Data Mining (short paper), 2009.

2008
[KDD'08] Knowledge transfer via multiple model local structure mapping.
Jing Gao, Wei Fan, Jing Jiang and Jiawei Han
In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008.
[Thesis] Domain adaptation in natural language processing.
Jing Jiang
PhD Dissertation, University of Illinois at Urbana-Champaign, 2008.

2007
[ACL'07] Instance weighting for domain adaptation in NLP. [bib] [slides (ppt)] [slides (pdf)]
Jing Jiang and ChengXiang Zhai
In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, 2007.
[NAACL'07] A systematic exploration of the feature space for relation extraction. [bib] [slides (ppt)] [slides (pdf)]
Jing Jiang and ChengXiang Zhai
In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics, 2007.
[CIKM'07] A two-stage approach to domain adaptation for statistical classfiers. [slides (ppt)] [slides (pdf)]
Jing Jiang and ChengXiang Zhai
In Proceedings of the ACM 16th Conference on Information and Knowledge Management, 2007.
[IP&M] Generating gene summaries from biomedical literature: A study of semi-structured summarization.
Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, ChengXiang Zhai and Bruce Schatz
Information Processing & Management, 43(6):1777-1791, November 2007.

2006 and earlier
[NAACL'06] Exploiting domain structure for named entity recognition. [bib] [slides (ppt)] [slides (pdf)]
Jing Jiang and ChengXiang Zhai
In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics, 2006.
[TOIS] Extraction of coherent relevant passages using hidden Markov models.
Jing Jiang and ChengXiang Zhai
ACM Transactions on Information Systems, 24(3):295-319, July 2006.
[PSB'06] Automatically generating gene summaries from biomedical literature.
Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, ChengXiang Zhai, and Bruce Schatz
In Proceedings of the Pacific Symposium on Biocomputing, 2006.
[CIKM'05] Accurately extracting coherent relevant passages using hidden Markov models.
Jing Jiang and ChengXiang Zhai
In Proceedings of the ACM 14th Conference on Information and Knowledge Management (poster paper), 2005.
[SIGMOD'03] Adaptive filters for continuous queries over distributed data streams.
Chris Olston, Jing Jiang and Jennifer Widom
In Proceedings of the ACM SIGMOD International Conference on Management of Data, 2003.