| 2025 | IJCNLP | PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint. | Bhoomit Vasani, Jack FitzGerald, Anjie Fang, Sushmit Vaish |
| 2023 | EMNLP | Follow-on Question Suggestion via Voice Hints for Voice Assistants. | Besnik Fetahu, Pedro Faustini, Anjie Fang, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi |
| 2023 | Interspeech | Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants. | Pedro Faustini, Besnik Fetahu, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi |
| 2022 | COLING | MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition. | Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko |
| 2022 | EMNLP | Reinforced Question Rewriting for Conversational Question Answering. | Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi |
| 2022 | EMNLP | CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting. | Andrea Iovine, Anjie Fang, Besnik Fetahu, Jie Zhao, Oleg Rokhlenko, Shervin Malmasi |
| 2022 | NAACL | Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition. | Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi |
| 2022 | WWW | CycleNER: An Unsupervised Training Approach for Named Entity Recognition. | Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi |
| 2021 | NAACL | GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input. | Tao Meng, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi |
| 2021 | SIGIR | Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries. | Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi |
| 2020 | SIGIR | Using Phoneme Representations to Build Predictive Models Robust to ASR Errors. | Anjie Fang, Simone Filice, Nut Limsopatham, Oleg Rokhlenko |
| 2019 | ECIR | Evaluating Similarity Metrics for Latent Twitter Topics. | Xi Wang, Anjie Fang, Iadh Ounis, Craig Macdonald |
| 2018 | CIKM | An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. | Anjie Fang, Iadh Ounis, Craig MacDonald, Philip Habel, Xiaoyu Xiong, Haitao Yu |
| 2018 | ECIR | On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification. | Ting Su, Anjie Fang, Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2018 | ECIR | On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings. | Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald, Anjie Fang |
| 2017 | ECIR | Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data. | Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel, Xiao Yang |
| 2017 | SIGIR | Examining Information on Social Media: Topic Modelling, Trend Prediction and Community Classification. | Anjie Fang |
| 2016 | ECIR | Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data. | Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel |
| 2016 | SIGIR | Examining the Coherence of the Top Ranked Tweet Topics. | Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel |
| 2016 | SIGIR | Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data. | Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel |
| 2015 | SIGIR | Topic-centric Classification of Twitter User's Political Orientation. | Anjie Fang, Iadh Ounis, Philip Habel, Craig Macdonald, Nut Limsopatham |
| 2014 | AAAI | Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques. | Mrcia Baptista, Anjie Fang, Helmut Prendinger, Rui Prada, Yohei Yamaguchi |