Temporal Representation and Classification in Chinese. - Kam-Fai Wong; Wenjie Li 002; Chunfa Yuan; Xiaodan Zhu 001 (Int. J. Comput. Process. Orient. Lang., 2002)

Single Character Chinese Named Entity Recognition. - Xiaodan Zhu 001; Mu Li 001; Jianfeng Gao 001; Changning Huang (SIGHAN, 2003)

Analysis of Polarity Information in Medical Text. - Yun Niu; Xiaodan Zhu 001; Jianhua Li; Graeme Hirst (AMIA, 2005)

Using Outcome Polarity in Sentence Extraction for Medical Question-Answering. - Yun Niu; Xiaodan Zhu 001; Graeme Hirst (AMIA, 2006)

Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features. - Xiaodan Zhu 001; Gerald Penn (ICME, 2006)

Summarization of spontaneous conversations. - Xiaodan Zhu 001; Gerald Penn (INTERSPEECH, 2006)

Comparing the roles of textual, acoustic and spoken-language features on spontaneous-conversation summarization. - Xiaodan Zhu 001; Gerald Penn (HLT-NAACL, 2006)

A Critical Reassessment of Evaluation Baselines for Speech Summarization. - Gerald Penn; Xiaodan Zhu 001 (ACL, 2008)

Using latent Dirichlet allocation to incorporate domain knowledge for topic transition detection. - Xiaodan Zhu 001; Xuming He 001; Cosmin Munteanu; Gerald Penn (INTERSPEECH, 2008)

Identifying salient utterances of online spoken documents using descriptive hypertext. - Xiaodan Zhu 001; Siavash Kazemian; Gerald Penn (SLT, 2008)

Prior Derivation Models For Formally Syntax-Based Translation Using Linguistically Syntactic Parsing and Tree Kernels. - Bowen Zhou 006; Bing Xiang; Xiaodan Zhu 001; Yuqing Gao (SSST@ACL, 2008)

Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data. - Cosmin Munteanu; Gerald Penn; Xiaodan Zhu 001 (ACL/IJCNLP, 2009)

Summarizing multiple spoken documents: finding evidence from untranscribed audio. - Xiaodan Zhu 001; Gerald Penn; Frank Rudzicz (ACL/IJCNLP, 2009)

Imposing Hierarchical Browsing Structures onto Spoken Documents. - Xiaodan Zhu 001; Colin Cherry; Gerald Penn (COLING (Posters), 2010)

Summarizing Spoken Documents Through Utterance Selection. - Xiaodan Zhu 001 (2010)

A Normalized-Cut Alignment Model for Mapping Hierarchical Semantic Structures onto Spoken Documents. - Xiaodan Zhu 001 (CoNLL, 2011)

Indexing Spoken Documents with Hierarchical Semantic Structures: Semantic Tree-to-string Alignment Models. - Xiaodan Zhu 001; Colin Cherry; Gerald Penn (IJCNLP, 2011)

Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. - Berry de Bruijn; Colin Cherry; Svetlana Kiritchenko; Joel D. Martin; Xiaodan Zhu 001 (J. Am. Medical Informatics Assoc., 2011)

An ecologically valid evaluation of speech summarization. - Anthony McCallum; Cosmin Munteanu; Gerald Penn; Xiaodan Zhu 001 (CHI Extended Abstracts, 2012)

Spotting keywords and sensing topic changes in speech. - Xiaodan Zhu 001 (CISDA, 2012)

Ecological validity and the evaluation of speech summarization quality. - Anthony McCallum; Gerald Penn; Cosmin Munteanu; Xiaodan Zhu 001 (SLT, 2012)

NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. - Saif M. Mohammad; Svetlana Kiritchenko; Xiaodan Zhu 001 (SemEval@NAACL-HLT, 2013)

À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge. - Colin Cherry; Xiaodan Zhu 001; Joel D. Martin; Berry de Bruijn (J. Am. Medical Informatics Assoc., 2013)

Detecting concept relations in clinical text: Insights from a state-of-the-art model. - Xiaodan Zhu 001; Colin Cherry; Svetlana Kiritchenko; Joel D. Martin; Berry de Bruijn (J. Biomed. Informatics, 2013)

A Graph-Partitioning Framework for Aligning Hierarchical Topic Structures to Presentations. - Xiaodan Zhu 001; Colin Cherry; Gerald Penn (IEEE Trans. Speech Audio Process., 2013)

An Empirical Study on the Effect of Negation Words on Sentiment. - Xiaodan Zhu 001; Hongyu Guo; Saif M. Mohammad; Svetlana Kiritchenko (ACL (1), 2014)

Bilingual Sentiment Consistency for Statistical Machine Translation. - Boxing Chen; Xiaodan Zhu 001 (EACL, 2014)

NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews. - Svetlana Kiritchenko; Xiaodan Zhu 001; Colin Cherry; Saif M. Mohammad (SemEval@COLING, 2014)

NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets. - Xiaodan Zhu 001; Svetlana Kiritchenko; Saif M. Mohammad (SemEval@COLING, 2014)

Semantic Role Labeling of Emotions in Tweets. - Saif M. Mohammad; Xiaodan Zhu 001; Joel D. Martin (WASSA@ACL, 2014)

Sentiment Analysis of Short Informal Texts. - Svetlana Kiritchenko; Xiaodan Zhu 001; Saif M. Mohammad (J. Artif. Intell. Res., 2014)

Revisiting Word Embedding for Contrasting Meaning. - Zhigang Chen 003; Wei Lin; Qian Chen 003; Xiaoping Chen; Si Wei; Hui Jiang 001; Xiaodan Zhu 001 (ACL (1), 2015)

Long Short-Term Memory Over Recursive Structures. - Xiaodan Zhu 001; Parinaz Sobhani; Hongyu Guo (ICML, 2015)

Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition. - Xiaodan Zhu 001; Hongyu Guo; Parinaz Sobhani (*SEM@NAACL-HLT, 2015)

A Deep Learning Model for Structured Outputs with High-order Interaction. - Hongyu Guo; Xiaodan Zhu 001; Martin Renqiang Min (CoRR, 2015)

Long Short-Term Memory Over Tree Structures. - Xiaodan Zhu 001; Parinaz Sobhani; Hongyu Guo (CoRR, 2015)

Sentiment, emotion, purpose, and style in electoral tweets. - Saif M. Mohammad; Xiaodan Zhu 001; Svetlana Kiritchenko; Joel D. Martin (Inf. Process. Manag., 2015)

Measuring academic influence: Not all citations are equal. - Xiaodan Zhu 001; Peter D. Turney; Daniel Lemire; André Vellino (J. Assoc. Inf. Sci. Technol., 2015)

Extracting Discriminative Keyphrases with Learned Semantic Hierarchies. - Yunli Wang; Yong Jin; Xiaodan Zhu 001; Cyril Goutte (COLING, 2016)

Distraction-Based Neural Networks for Modeling Document. - Qian Chen 003; Xiaodan Zhu 001; Zhen-Hua Ling; Si Wei; Hui Jiang 001 (IJCAI, 2016)

A Dataset for Detecting Stance in Tweets. - Saif M. Mohammad; Svetlana Kiritchenko; Parinaz Sobhani; Xiaodan Zhu 001; Colin Cherry (LREC, 2016)

DAG-Structured Long Short-Term Memory for Semantic Compositionality. - Xiaodan Zhu 001; Parinaz Sobhani; Hongyu Guo (HLT-NAACL, 2016)

SemEval-2016 Task 6: Detecting Stance in Tweets. - Saif M. Mohammad; Svetlana Kiritchenko; Parinaz Sobhani; Xiaodan Zhu 001; Colin Cherry (SemEval@NAACL-HLT, 2016)

Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference. - Qian Chen 003; Xiaodan Zhu 001; Zhen-Hua Ling; Si Wei; Hui Jiang 001 (CoRR, 2016)

Distraction-Based Neural Networks for Document Summarization. - Qian Chen 003; Xiaodan Zhu 001; Zhen-Hua Ling; Si Wei; Hui Jiang 001 (CoRR, 2016)

Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. - Preslav Nakov; Sara Rosenthal; Svetlana Kiritchenko; Saif M. Mohammad; Zornitsa Kozareva; Alan Ritter; Veselin Stoyanov; Xiaodan Zhu 001 (Lang. Resour. Evaluation, 2016)

Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems. - Quan Liu 003; Hui Jiang 001; Zhen-Hua Ling; Xiaodan Zhu 001; Si Wei; Yu Hu 003 (AAAI Spring Symposia, 2017)

Enhanced LSTM for Natural Language Inference. - Qian Chen 003; Xiaodan Zhu 001; Zhen-Hua Ling; Si Wei; Hui Jiang 001; Diana Inkpen (ACL (1), 2017)

Deep Learning for Semantic Composition. - Xiaodan Zhu 001; Edward Grefenstette (ACL (Tutorial Abstracts), 2017)

A Dataset for Multi-Target Stance Detection. - Parinaz Sobhani; Diana Inkpen; Xiaodan Zhu 001 (EACL (2), 2017)

Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems. - Quan Liu 003; Hui Jiang 001; Andrew Evdokimov; Zhen-Hua Ling; Xiaodan Zhu 001; Si Wei; Yu Hu 003 (IJCAI, 2017)

Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference. - Qian Chen 003; Xiaodan Zhu 001; Zhen-Hua Ling; Si Wei; Hui Jiang 001; Diana Inkpen (RepEval@EMNLP, 2017)

Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering. - Junbei Zhang; Xiaodan Zhu 001; Qian Chen 003; Li-Rong Dai 001; Si Wei; Hui Jiang 001 (CoRR, 2017)

Natural Language Inference with External Knowledge. - Qian Chen 003; Xiaodan Zhu 001; Zhen-Hua Ling; Diana Inkpen; Si Wei (CoRR, 2017)

Neural Natural Language Inference Models Enhanced with External Knowledge. - Qian Chen 003; Xiaodan Zhu 001; Zhen-Hua Ling; Diana Inkpen; Si Wei (ACL (1), 2018)

Enhancing Sentence Embedding with Generalized Pooling. - Qian Chen 003; Zhen-Hua Ling; Xiaodan Zhu 001 (COLING, 2018)

Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling. - Yifeng Li 001; Xiaodan Zhu 001 (IJCNN, 2018)

Logographic Subword Model for Neural Machine Translation. - Yihao Fang; Rong Zheng 001; Xiaodan Zhu 001 (CoRR, 2018)

Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference. - Xiaoyu Yang 002; Xiaodan Zhu 001; Huasha Zhao; Qiong Zhang; Yufei Feng (Canadian AI, 2019)

Induction Networks for Few-Shot Text Classification. - Ruiying Geng; Binhua Li; Yongbin Li; Xiaodan Zhu 001; Ping Jian; Jian Sun 021 (EMNLP/IJCNLP (1), 2019)

Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. - Jia-Chen Gu; Zhen-Hua Ling; Xiaodan Zhu 001; Quan Liu 003 (EMNLP/IJCNLP (1), 2019)

Capsule Generative Models. - Yifeng Li 001; Xiaodan Zhu 001 (ICANN (1), 2019)

Deep Learning for Natural Language Inference. - Samuel R. Bowman; Xiaodan Zhu 001 (NAACL-HLT (Tutorial Abstracts), 2019)

Exploring deep neural networks for multitarget stance detection. - Parinaz Sobhani; Diana Inkpen; Xiaodan Zhu 001 (Comput. Intell., 2019)

Promoting Diversity for End-to-End Conversation Response Generation. - Yu-Ping Ruan; Zhen-Hua Ling; Quan Liu 003; Jia-Chen Gu; Xiaodan Zhu 001 (CoRR, 2019)

Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge. - Yu-Ping Ruan; Xiaodan Zhu 001; Zhen-Hua Ling; Zhan Shi; Quan Liu 003; Si Wei (CoRR, 2019)

Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference. - Tianda Li; Xiaodan Zhu 001; Quan Liu 003; Qian Chen 003; Zhigang Chen 003; Si Wei (CoRR, 2019)

Learning Cross-Modal Context Graph for Visual Grounding. - Yongfei Liu; Bo Wan; Xiaodan Zhu 001; Xuming He 001 (AAAI, 2020)

Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment. - Yinpei Dai; Hangyu Li 003; Chengguang Tang; Yongbin Li; Jian Sun 021; Xiaodan Zhu 001 (ACL, 2020)

Dynamic Memory Induction Networks for Few-Shot Text Classification. - Ruiying Geng; Binhua Li; Yongbin Li; Jian Sun 021; Xiaodan Zhu 001 (ACL, 2020)

Improving Image Captioning with Better Use of Caption. - Zhan Shi; Xu Zhou; Xipeng Qiu; Xiaodan Zhu 001 (ACL, 2020)

Exploring Deep Anomaly Detection Methods Based on Capsule Net. - Xiaoyan Li; Iluju Kiringa; Tet Hin Yeap; Xiaodan Zhu 001; Yifeng Li 001 (Canadian AI, 2020)

Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. - Jia-Chen Gu; Tianda Li; Quan Liu 003; Zhen-Hua Ling; Zhiming Su; Si Wei; Xiaodan Zhu 001 (CIKM, 2020)

Exploring End-to-End Differentiable Natural Logic Modeling. - Yufei Feng; Zi'ou Zheng; Quan Liu 003; Michael A. Greenspan; Xiaodan Zhu 001 (COLING, 2020)

Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. - Jia-Chen Gu; Zhen-Hua Ling; Quan Liu 003; Zhigang Chen 003; Xiaodan Zhu 001 (EMNLP (Findings), 2020)

Program Enhanced Fact Verification with Verbalization and Graph Attention Network. - Xiaoyu Yang 002; Feng Nie; Yufei Feng; Quan Liu 003; Zhigang Chen 003; Xiaodan Zhu 001 (EMNLP (1), 2020)

Multi-Modal Fusion With Observation Points For Skeleton Action Recognition. - Iqbal Singh; Xiaodan Zhu 001; Michael A. Greenspan (ICIP, 2020)

End-to-End Transition-Based Online Dialogue Disentanglement. - Hui Liu 033; Zhan Shi; Jia-Chen Gu; Quan Liu 003; Si Wei; Xiaodan Zhu 001 (IJCAI, 2020)

Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning. - Xiaoyan Li; Iluju Kiringa; Tet Hin Yeap; Xiaodan Zhu 001; Yifeng Li 001 (IJCNN, 2020)

Capsule Deep Generative Model That Forms Parse Trees. - Yifeng Li 001; Xiaodan Zhu 001; Richard Naud; Pengcheng Xi (IJCNN, 2020)

SemEval-2020 Task 4: Commonsense Validation and Explanation. - Cunxiang Wang; Shuailong Liang; Yili Jin 001; Yilong Wang 001; Xiaodan Zhu 001; Yue Zhang 004 (SemEval@COLING, 2020)

SemEval-2020 Task 5: Counterfactual Recognition. - Xiaoyu Yang 002; Stephen Obadinma; Huasha Zhao; Qiong Zhang; Stan Matwin; Xiaodan Zhu 001 (SemEval@COLING, 2020)

Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems. - Jia-Chen Gu; Tianda Li; Quan Liu 003; Xiaodan Zhu 001; Zhen-Hua Ling; Yu-Ping Ruan (CoRR, 2020)

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. - Yufei Feng; Mo Yu; Wenhan Xiong; Xiaoxiao Guo; Junjie Huang 008; Shiyu Chang; Murray Campbell; Michael A. Greenspan; Xiaodan Zhu 001 (CoRR, 2020)

DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement. - Tianda Li; Jia-Chen Gu; Xiaodan Zhu 001; Quan Liu 003; Zhen-Hua Ling; Zhiming Su; Si Wei (CoRR, 2020)

Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. - Jia-Chen Gu; Zhen-Hua Ling; Quan Liu 003; Si Wei; Xiaodan Zhu 001 (CoRR, 2020)

Improving Image Captioning with Better Use of Captions. - Zhan Shi; Xu Zhou; Xipeng Qiu; Xiaodan Zhu 001 (CoRR, 2020)

Deriving Commonsense Inference Tasks from Interactive Fictions. - Mo Yu; Xiaoxiao Guo; Yufei Feng; Xiaodan Zhu 001; Michael A. Greenspan; Murray Campbell (CoRR, 2020)

Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems. - Chao-Hong Tan; Xiaoyu Yang 002; Zi'ou Zheng; Tianda Li; Yufei Feng; Jia-Chen Gu; Quan Liu 003; Dan Liu 008; Zhen-Hua Ling; Xiaodan Zhu 001 (CoRR, 2020)

Generating diverse conversation responses by creating and ranking multiple candidates. - Yu-Ping Ruan; Zhen-Hua Ling; Xiaodan Zhu 001; Quan Liu 003; Jia-Chen Gu (Comput. Speech Lang., 2020)

Condition-Transforming Variational Autoencoder for Generating Diverse Short Text Conversations. - Yu-Ping Ruan; Zhen-Hua Ling; Xiaodan Zhu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals. - Xiaoyu Yang 002; Stephen Obadinma; Huasha Zhao; Qiong Zhang; Stan Matwin; Xiaodan Zhu 001 (Zenodo, 2020)

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. - Binyuan Hui; Ruiying Geng; Qiyu Ren; Binhua Li; Yongbin Li; Jian Sun 021; Fei Huang 002; Luo Si; Pengfei Zhu 001; Xiaodan Zhu 001 (AAAI, 2021)

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking. - Yinpei Dai; Hangyu Li 003; Yongbin Li; Jian Sun 021; Fei Huang 002; Luo Si; Xiaodan Zhu 001 (ACL/IJCNLP (2), 2021)

Enhancing Descriptive Image Captioning with Natural Language Inference. - Zhan Shi; Hui Liu 033; Xiaodan Zhu 001 (ACL/IJCNLP (2), 2021)

Improving Depression Assessment With Multi-Task Learning From Speech and Text Information. - Clinton Lau; Wai-Yip Chan; Xiaodan Zhu 001 (ACSCC, 2021)

Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction. - Rohan Bhambhoria; Samuel Dahan; Xiaodan Zhu 001 (Canadian AI, 2021)

Enhancing Pretrained Models with Domain Knowledge. - Yufei Feng; Michael A. Greenspan; Xiaodan Zhu 001 (Canadian AI, 2021)

extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. - Yufei Feng; Mo Yu; Wenhan Xiong; Xiaoxiao Guo; Junjie Huang 008; Shiyu Chang; Murray Campbell; Michael A. Greenspan; Xiaodan Zhu 001 (Canadian AI, 2021)

Class-wise Calibration: A Case Study on COVID-19 Hate Speech. - Stephen Obadinma; Hongyu Guo; Xiaodan Zhu 001 (Canadian AI, 2021)

Descriptive Image Captioning with Salient Retrieval Priors. - Zhan Shi; Hui Liu 033; Xiaodan Zhu 001 (Canadian AI, 2021)

Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization. - Lei Shen 001; Haolan Zhan; Xin Shen; Hongshen Chen; Xiaofang Zhao; Xiaodan Zhu 001 (CIKM, 2021)

Unsupervised Conversation Disentanglement through Co-Training. - Hui Liu 033; Zhan Shi; Xiaodan Zhu 001 (EMNLP (1), 2021)

Detecting Speaker Personas from Conversational Texts. - Jia-Chen Gu; Zhen-Hua Ling; Yu Wu; Quan Liu 003; Zhigang Chen 003; Xiaodan Zhu 001 (EMNLP (1), 2021)

WinoLogic: A Zero-Shot Logic-based Diagnostic Dataset for Winograd Schema Challenge. - Weinan He 001; Canming Huang; Yongmei Liu 001; Xiaodan Zhu 001 (EMNLP (1), 2021)

Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy. - Dayu Li; Xiaodan Zhu 001; Yang Li 074; Suge Wang; Deyu Li; Jian Liao; Jianxing Zheng (EMNLP (1), 2021)

Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning. - Zhan Shi; Hui Liu 033; Martin Renqiang Min; Christopher Malon; Li Erran Li; Xiaodan Zhu 001 (EMNLP (Findings), 2021)

Exploring Decomposition for Table-based Fact Verification. - Xiaoyu Yang 002; Xiaodan Zhu 001 (EMNLP (Findings), 2021)

Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem. - Tianda Li; Jia-Chen Gu; Hui Liu 033; Quan Liu 003; Zhen-Hua Ling; Zhiming Su; Xiaodan Zhu 001 (ICASSP, 2021)

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. - Hui Liu 033; Danqing Zhang; Bing Yin; Xiaodan Zhu 001 (NAACL-HLT, 2021)

SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. - Boyuan Zheng; Xiaoyu Yang 002; Yu-Ping Ruan; Zhen-Hua Ling; Quan Liu 003; Si Wei; Xiaodan Zhu 001 (SemEval@ACL/IJCNLP, 2021)

THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation. - Yuxuan Zhou 002; Kaiyin Zhou; Xien Liu; Ji Wu 002; Xiaodan Zhu 001 (SemEval@ACL/IJCNLP, 2021)

Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. - Jia-Chen Gu; Hui Liu 033; Zhen-Hua Ling; Quan Liu 003; Zhigang Chen 003; Xiaodan Zhu 001 (SIGIR, 2021)

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. - Binyuan Hui; Ruiying Geng; Qiyu Ren; Binhua Li; Yongbin Li; Jian Sun 021; Fei Huang 002; Luo Si; Pengfei Zhu 001; Xiaodan Zhu 001 (CoRR, 2021)

Improving Text-to-SQL with Schema Dependency Learning. - Binyuan Hui; Xiang Shi; Ruiying Geng; Binhua Li; Yongbin Li; Jian Sun 021; Xiaodan Zhu 001 (CoRR, 2021)

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking. - Yinpei Dai; Hangyu Li 003; Yongbin Li; Jian Sun 021; Fei Huang 002; Luo Si; Xiaodan Zhu 001 (CoRR, 2021)

Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference. - Xiaoyu Yang 002; Xiaodan Zhu 001; Zhan Shi; Tianda Li (CoRR, 2021)

Enhancing emotion inference in conversations with commonsense knowledge. - Dayu Li; Xiaodan Zhu 001; Yang Li 074; Suge Wang; Deyu Li; Jian Liao; Jianxing Zheng (Knowl. Based Syst., 2021)

Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis. - Jia-Chen Gu; Tianda Li; Zhen-Hua Ling; Quan Liu 003; Zhiming Su; Yu-Ping Ruan; Xiaodan Zhu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Interpretable Low-Resource Legal Decision Making. - Rohan Bhambhoria; Hui Liu 033; Samuel Dahan; Xiaodan Zhu 001 (AAAI, 2022)

Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. - Zhan Shi; Yilin Shen; Hongxia Jin; Xiaodan Zhu 001 (AAAI, 2022)

Parameter-Efficient Legal Domain Adaptation. - Jonathan Li 006; Rohan Bhambhoria; Xiaodan Zhu 001 (NLLP@EMNLP, 2022)

Evaluating Explanation Correctness in Legal Decision Making. - Chu Fei Luo; Rohan Bhambhoria; Samuel Dahan; Xiaodan Zhu 001 (Canadian AI, 2022)

Developing Prefix-Tuning Models for Hierarchical Text Classification. - Lei Chen; Hou Wei Chou; Xiaodan Zhu 001 (EMNLP (Industry Track), 2022)

Learning Better Intent Representations for Financial Open Intent Classification. - Xianzhi Li; Will Aitken; Xiaodan Zhu 001; Stephen W. Thomas (CoRR, 2022)

Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference. - Yufei Feng; Xiaoyu Yang 002; Xiaodan Zhu 001; Michael A. Greenspan (Trans. Assoc. Comput. Linguistics, 2022)

Prefix Propagation: Parameter-Efficient Tuning for Long Sequences. - Jonathan Li 006; Will Aitken; Rohan Bhambhoria; Xiaodan Zhu 001 (ACL (2), 2023)

A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification. - Rohan Bhambhoria; Lei Chen; Xiaodan Zhu 001 (ACL (2), 2023)

Prototype-Based Interpretability for Legal Citation Prediction. - Chu Fei Luo; Rohan Bhambhoria; Samuel Dahan; Xiaodan Zhu 001 (ACL (Findings), 2023)

Weighted Contrastive Learning With False Negative Control to Help Long-tailed Product Classification. - Tianqi Wang; Lei Chen; Xiaodan Zhu 001; Younghun Lee; Jing Gao (ACL (industry), 2023)

JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. - Mo Yu; Yi Gu 002; Xiaoxiao Guo; Yufei Feng; Xiaodan Zhu 001; Michael A. Greenspan; Murray Campbell; Chuang Gan 001 (ACL (Findings), 2023)

NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic. - Zi'ou Zheng; Xiaodan Zhu 001 (ACL (1), 2023)

Parameter-Efficient Methods for Metastases Detection fromClinical Notes. - Maede Ashofteh Barabadi; Xiaodan Zhu 001; Wai-Yip Chan; Amber L. Simpson; Richard K. G. Do (Canadian AI, 2023)

Guided Learning of Human Sensor Models with Low-Level Grounding. - Paul Quinlan; Qingguo Li; Xiaodan Zhu 001 (Canadian AI, 2023)

Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks. - Xianzhi Li; Samuel Chan; Xiaodan Zhu 001; Yulong Pei; Zhiqiang Ma; Xiaomo Liu; Sameena Shah (EMNLP (Industry Track), 2023)

Knowledge-Selective Pretraining for Attribute Value Extraction. - Hui Liu 033; Qingyu Yin; Zhengyang Wang; Chenwei Zhang; Haoming Jiang; Yifan Gao 001; Zheng Li 018; Xian Li; Chao Zhang 014; Bing Yin; William Wang 001; Xiaodan Zhu 001 (EMNLP (Findings), 2023)

Legally Enforceable Hate Speech Detection for Public Forums. - Chu Fei Luo; Rohan Bhambhoria; Samuel Dahan; Xiaodan Zhu 001 (EMNLP (Findings), 2023)

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. - Zhan Shi; Guoyin Wang 002; Ke Bai 001; Jiwei Li 001; Xiang Li; Qingjun Cui; Belinda Zeng; Trishul Chilimbi; Xiaodan Zhu 001 (EMNLP, 2023)

OpenJustice.ai: A Global Open-Source Legal Language Model. - Samuel Dahan; Rohan Bhambhoria; David Liang; Xiaodan Zhu 001 (JURIX, 2023)

Robust NLP for Finance (RobustFin). - Sameena Shah; Xiaodan Zhu 001; Gerard de Melo; Armineh Nourbakhsh; Xiaomo Liu; Zhiqiang Ma; Charese Smiley; Zhiyu Chen 002 (KDD, 2023)

Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data. - Stephen Obadinma; Hongyu Guo; Xiaodan Zhu 001 (RepL4NLP@ACL, 2023)

Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. - Sameena Shah; Xiaodan Zhu 001; Wenhu Chen; Manling Li; Armineh Nourbakhsh; Xiaomo Liu; Zhiqiang Ma; Charese Smiley; Yulong Pei; Akshat Gupta (SIGIR, 2023)

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support. - Stephen Obadinma; Faiza Khan Khattak; Shirley Wang; Tania Sidhom; Elaine Lau; Sean Robertson; Jingcheng Niu; Winnie Au; Alif Munim; Karthik Raja K. Bhaskar; Bencheng Wei; Iris Ren; et al. (CoRR, 2023)

Effectiveness of Data Augmentation for Prefix Tuning with Limited Data. - Stephen Obadinma; Hongyu Guo; Xiaodan Zhu 001 (CoRR, 2023)

Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks. - Xianzhi Li; Xiaodan Zhu 001; Zhiqiang Ma; Xiaomo Liu; Sameena Shah (CoRR, 2023)

Towards Legally Enforceable Hate Speech Detection for Public Forums. - Chu Fei Luo; Rohan Bhambhoria; Xiaodan Zhu 001; Samuel Dahan (CoRR, 2023)

ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection. - Yihao Fang; Xianzhi Li; Stephen W. Thomas; Xiaodan Zhu 001 (CoRR, 2023)

Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams. - Ethan Callanan; Amarachi Mbakwe; Antony Papadimitriou; Yulong Pei; Mathieu Sibue; Xiaodan Zhu 001; Zhiqiang Ma; Xiaomo Liu; Sameena Shah (CoRR, 2023)

Parameter-Efficient Methods for Metastases Detection from Clinical Notes. - Maede Ashofteh Barabadi; Xiaodan Zhu 001; Wai-Yip Chan; Amber L. Simpson; Richard K. G. Do (CoRR, 2023)

Adapting Large Language Models for Automatic Annotation of Radiology Reports for Metastases Detection. - Maede Ashofteh Barabadi; Wai-Yip Chan; Xiaodan Zhu 001; Amber L. Simpson; Richard K. G. Do (CCECE, 2024)

Are Large Language Models General-Purpose Solvers for Dialogue Breakdown Detection? An Empirical Investigation. - Abdellah Ghassel; Xiaodan Zhu 001; Stephen W. Thomas (CCECE, 2024)

On the Effectiveness of Training Objectives of Pretrained Models for Inertial Sensor Data. - Paul Quinlan; Qingguo Li; Xiaodan Zhu 001 (CCECE, 2024)

Mixture of Prompt Experts for Natural Language Inference. - Zi'ou Zheng; Xiaodan Zhu 001 (CCECE, 2024)

Can Machine Unlearning Reduce Social Bias in Language Models? - Omkar Dige; Diljot Arneja; Tsz Fung Yau; Qixuan Zhang; Mohammad Bolandraftar; Xiaodan Zhu 001; Faiza Khan Khattak (EMNLP (Industry Track), 2024)

Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation. - Xianzhi Li; Ran Zmigrod; Zhiqiang Ma; Xiaomo Liu; Xiaodan Zhu 001 (EMNLP (Findings), 2024)

Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation. - Chu Fei Luo; Radin Shayanfar; Rohan Bhambhoria; Samuel Dahan; Xiaodan Zhu 001 (EMNLP (Findings), 2024)

The State of the Art of Large Language Models on Chartered Financial Analyst Exams. - Mahmoud Mahfouz; Ethan Callanan; Mathieu Sibue; Antony Papadimitriou; Zhiqiang Ma; Xiaomo Liu; Xiaodan Zhu 001 (EMNLP (Industry Track), 2024)

SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration. - Yuanhao Shen; Xiaodan Zhu 001; Lei Chen (EMNLP (Industry Track), 2024)

Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models. - Zi'ou Zheng; Christopher Malon; Martin Renqiang Min; Xiaodan Zhu 001 (EMNLP, 2024)

Ensemble Distillation for Unsupervised Constituency Parsing. - Behzad Shayegh; Yanshuai Cao; Xiaodan Zhu 001; Jackie C. K. Cheung; Lili Mou (ICLR, 2024)

Calibration Attack: A Framework For Adversarial Attacks Targeting Calibration. - Stephen Obadinma; Xiaodan Zhu 001; Hongyu Guo (CoRR, 2024)

HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation. - Yihao Fang; Stephen W. Thomas; Xiaodan Zhu 001 (CoRR, 2024)

Self-Consistent Decoding for More Factual Open Responses. - Christopher Malon; Xiaodan Zhu 001 (CoRR, 2024)

Evaluating AI for Law: Bridging the Gap with Open-Source Solutions. - Rohan Bhambhoria; Samuel Dahan; Jonathan Li 006; Xiaodan Zhu 001 (CoRR, 2024)

BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models. - Chu Fei Luo; Ahmad Ghawanmeh; Xiaodan Zhu 001; Faiza Khan Khattak (CoRR, 2024)

The FAIIR Tool: A Conversational AI Agent Assistant for Youth Mental Health Service Provision. - Stephen Obadinma; Alia Lachana; Maia Norman; Jocelyn Rankin; Joanna Yu; Xiaodan Zhu 001; Darren Mastropaolo; Deval Pandya; Roxana Sultan; Elham Dolatabadi (CoRR, 2024)

Mitigating Social Biases in Language Models through Unlearning. - Omkar Dige; Diljot Singh; Tsz Fung Yau; Qixuan Zhang; Borna Bolandraftar; Xiaodan Zhu 001; Faiza Khan Khattak (CoRR, 2024)

Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice. - Jonathan Li 006; Rohan Bhambhoria; Samuel Dahan; Xiaodan Zhu 001 (CoRR, 2024)

Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence. - Stephen Obadinma; Xiaodan Zhu 001; Hongyu Guo (Trans. Mach. Learn. Res., 2024)

Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. - Behzad Shayegh; Hobie H.-B. Lee; Xiaodan Zhu 001; Jackie Chi Kit Cheung; Lili Mou (AAAI, 2025)

Aligning Language Models Using Multi-Objective Deep Reinforcement Learning. - Yage Zhang; Xiaodan Zhu 001; Yifeng Li 001 (Canadian AI, 2025)

Targeted generative data augmentation for automatic metastases detection from free-text radiology reports. - Maede Ashofteh Barabadi; Xiaodan Zhu 001; Wai-Yip Chan; Amber L. Simpson; Richard K. G. Do (Frontiers Artif. Intell., 2025)

The FAIIR conversational AI agent assistant for youth mental health service provision. - Stephen Obadinma; Alia Lachana; Maia Leigh Norman; Jocelyn Rankin; Joanna Yu; Xiaodan Zhu 001; Darren Mastropaolo; Deval Pandya; Roxana Sultan; Elham Dolatabadi (npj Digit. Medicine, 2025)

Entropy-Aware Branching for Improved Mathematical Reasoning. - Xianzhi Li; Ethan Callanan; Xiaodan Zhu 001; Mathieu Sibue; Antony Papadimitriou; Mahmoud Mahfouz; Zhiqiang Ma; Xiaomo Liu (CoRR, 2025)

CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow Alignment. - Radin Shayanfar; Chu Fei Luo; Rohan Bhambhoria; Samuel Dahan; Xiaodan Zhu 001 (CoRR, 2025)

RedDebate: Safer Responses through Multi-Agent Red Teaming Debates. - Ali Asad; Stephen Obadinma; Radin Shayanfar; Xiaodan Zhu 001 (CoRR, 2025)

On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks. - Stephen Obadinma; Xiaodan Zhu 001 (CoRR, 2025)

Understanding Large Language Models' Ability on Interdisciplinary Research. - Yuanhao Shen; Daniel Xavier de Sousa; Ricardo Marçal; Ali Asad; Hongyu Guo; Xiaodan Zhu 001 (CoRR, 2025)