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2021

Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
Thuy-Trang Vu, Xuanli He, Dinh Phung, Gholamreza Haffari
To appear in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training
Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu
To appear in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li, Lizhen Qu, Gholamreza Haffari
To appear in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

Lifelong Explainer for Lifelong Learners
Xuelin Situ, Sameen Maruf, Ingrid Zukerman, Cecile Paris, Gholamreza Haffari
To appear in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
Jinming Zhao, Philip Arthur, Gholamreza Haffari, Trevor Cohn and Ehsan Shareghi
To appear in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text
Xiao-Yu Guo, Yuan-Fang Li, Gholamreza Haffari
To appear in the Findings of The 2021 Conference on Empirical Methods in Natural Language Processing (Findings-EMNLP), 2021.

Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?
Fahimeh Saleh, Wray Buntine, Gholamreza Haffari, Lan Du
To appear in the Findings of The 2021 Conference on Empirical Methods in Natural Language Processing (Findings-EMNLP), 2021.

Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation
Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi
In ArXiv, 2021.

iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Gholamreza Haffari
Thirty-eighth International Conference on Machine Learning (ICML), 2021.

All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training
Islam Nassar, Samitha Herath, Ehsan Abbasnejad, , Wray Buntine, Gholamreza Haffari
IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2021.

Explaining Decision-Tree Predictions by Addressing Potential Conflicts between Predictions and Plausible Expectations
Sameen Maruf, Ingrid Zukerman, Ehud Reiter, Gholamreza Haffari
The 14th International Conference on Natural Language Generation (INLG), 2021.

Leveraging Latent Economic Concepts and Sentiments in the News for Market Prediction
Saeede Anbaee Farimani, Majid Vafaei Jahan, Amin Milani Fard, Gholamreza Haffari
The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2021.

Learning to Explain: Generating Stable Explanations Fast
Xuelin Situ, Ingrid Zukerman, Cecile Paris, Sameen Maruf, Gholamreza Haffari
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021.

Neural-Symbolic Commonsense Reasoner with Relation Predictors
Farhad Moghimifar, Lizhen Qu, Terry Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021.

Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
Shirong Shen, Tongtong Wu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari, Sheng Bi
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL)-Findings, 2021.

Multilingual Simultaneous Neural Machine Translation
Philip Arthur, Dongwon Ryu, Gholamreza Haffari
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL)-Findings, 2021.

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu
35th AAAI Conference on Artificial Intelligence (AAAI), 2021.

Few-Shot Semantic Parsing for New Predicates
Zhuang Li, Lizhen Qu, Shuo Huang, Gholamreza Haffari
In The 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021.

Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning
Philip Arthur, Trevor Cohn, Gholamreza Haffari
In The 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021.

Cognition-aware Cognate Detection
Diptesh Kanojia, Prashant Sharma, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni
In The 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021.
Honorable Mention for Best Long Pape Award

A Survey on Document-level Machine Translation: Methods and Evaluation
Sameen Maruf, Fahimeh Saleh, Gholamreza Haffari
Accepted in ACM Computing Surveys.

2020

Domain Adaptative Causality Encoder
Farhad Moghimifar, Gholamreza Haffari, Mahsa Baktashmotlagh
The 18th Annual Workshop of the Australasian Language Technology Association (ALTA), 2020.
Best Paper Award

Leveraging Discourse Rewards for Document-Level Neural Machine Translation
Inigo Jauregi Unanue, Nazanin Esmaili, Gholamreza Haffari, Massimo Piccardi
International Conference on Computational Linguistics (COLING), 2020.

Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages
Diptesh Kanojia, Raj Dabre, Shubham Dewangan, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni
International Conference on Computational Linguistics (COLING), 2020.

Context Dependent Semantic Parsing: A Survey
Zhuang Li, Lizhen Qu, Gholamreza Haffari
International Conference on Computational Linguistics (COLING), 2020.

Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation
Fahimeh Saleh, Wray Buntine, Gholamreza Haffari
International Conference on Computational Linguistics (COLING), 2020.

Understanding Unnatural Questions Improves Reasoning over Text
Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari
International Conference on Computational Linguistics (COLING), 2020.

CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering
Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari
International Conference on Computational Linguistics (COLING), 2020.

Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models
Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari
Accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.

Personal Information Leakage Detection in Conversations
Qiongkai Xu, Lizhen Qu, Zeyu Gao, Gholamreza Haffari
Accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.

Few-shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Tongtong Wu
Accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.

Scene Graph Modification Based on Natural Language Commands
Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Zhe Lin, Trung Bui, Franck Dernoncourt, Nhan Dam
Accepted to the Findings of the Empirical Methods in Natural Language Processing (Findings-EMNLP), 2020.

Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
Xuanli He, Gholamreza Haffari, Mohammad Norouzi
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020.

Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns
KayYen Wong, Sameen Maruf, Gholamreza Haffari
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020.

CAPTION ALIGNMENT FOR LOW RESOURCE AUDIO-VISUAL DATA
Vighnesh Reddy Konda, Mayur Warialani, Rakesh Prasanth Achari, Varad Bhatnagar, Jayaprakash Akula, Preethi Jyothi, Ganesh Ramakrishnan, Gholamreza Haffari, Pankaj Singh
To Appear in Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), 2020.

Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
Yuncheng Hua1, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), 2020.

Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), 2020.

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression
Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari
To Appear in SIGIR, 2020.

Decoding As Dynamic Programming For Recurrent Autoregressive Models
Najam Zaidi, Trevor Cohn, Gholamreza Haffari
In the International Conference on Learning Representations (ICLR), 2020.

Reinforcement Learning based Meta-path Discovery in Large-scale Heterogeneous Information Networks
Guojia Wan, Bo Du, Shirui Pan, Gholamreza Haffari
In the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.

Challenge Dataset of Cognates and False Friend Pairs from Indian Languages [dataset]
Diptesh Kanojia, Malhar Kulkarni, Pushpak Bhattacharyya, Gholamreza Haffari
To Appear in LREC, 2020.

Learning to Multi-Task Learn for Better Neural Machine Translation
Poorya Zaremoodi, Gholamreza Haffari
In arXiv:2001.03294.

Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data
Mohammad Shamsur Rahman, Ann Nicholson, Gholamreza Haffari
SN Computer Science (Springer Journal), 2020.

A statistically efficient and scalable method for exploratory analysis of high-dimensional data
Mohammad Shamsur Rahman, Gholamreza Haffari
SN Computer Science (Springer Journal), 2020.

2019

Question Generation from Paragraphs: A Tale of Two Hierarchical Models
Vishwajeet Kumar, Raktim Chaki, Sai Teja Talluri, Ganesh Ramakrishnan, Yuan-Fang Li, Gholamreza Haffari
ArXiv preprint, 2019.

A Pointer Network Architecture for Context-Dependent Semantic Parsing
Xuanli He, Quan Tran, Gholamreza Haffari
Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2019.

Neural Versus Non-Neural Text Simplification: A Case Study
Islam Nassar, Michelle Ananda-Rajah, Gholamreza Haffari
Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2019.

Monash University’s Submissions to the WNGT 2019 Document Translation Task
Sameen Maruf, Gholamreza Haffari
Proceedings of the 3rd Workshop on Neural Generation and Translation (co-located with EMNLP), 2019.

Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation
Poorya ZareMoodi, Gholamreza Haffari
Proceedings of the 3rd Workshop on Neural Generation and Translation (co-located with EMNLP), 2019.

Neural Speech Translation using Lattice Transformations and Graph Networks
Dniel Beck, Trevor Cohn, Gholamreza Haffari
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (co-located with EMNLP), 2019.

Learning How to Actively Learn by Dreaming
Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019.

Selective Attention for Context-aware Neural Machine Translation
Sameen Maruf, Andre Martines, Gholamreza Haffari
Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2019.

A comparative study of data-dependent approaches without learning in measuring similarities of data objects
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
Data Mining and Knowledge Discovery Journal, 2019.

Analysing tumour heterogeneity by incorporating long-range mutational influences and multiple sample data into HetFHMM
Mohammad Shamsur Rahman, Ann Nicholson, Gholamreza Haffari
Journal of Computational Biology, 2019.

Closing the gap in surveillance and audit of invasive mold diseases for antifungal stewardship using machine learning
Diva Baggio, Trisha Peel, Anton Peleg, Sharon Avery, Madhurima Prayaga, Michelle Foo, Gholamreza Haffari, Ming Liu, Christoph Bergmeir, Michelle Ananda-Rajah
Journal of Clinical Medicine, 2019.

Multi-objective semi-supervised clustering to identify health service patterns for injured patients
Hadi Akbarzadeh Khorshidi, Gholamreza Haffari, Uwe Aickelin, Behrooz Hassani-Mahmooei
Journal of Health Information Science and Systems, 2019.

An Interpretable Algorithm on Post-Injury Health Service Utilization Patterns to Predict Injury Outcomes
Hadi Akbarzadeh Khorshidi, Gholamreza Haffari, Behrooz Hassani-Mahmooei
Journal of Occupational Rehabilitation, 2019.

2018

Improved Neural Machine Translation using Side Information
Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn
In Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2018.
Best Paper Award

Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation
Xuanli He, Quan Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari
In Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2018.

Sequence to Sequence Mixture Model for Diverse Machine Translation [code]
Xuanli He, Gholamreza Haffari, Mohammad Norouzi
In Proceedings of CoNLL, 2018.

Learning to Actively Learn Neural Machine Translation [code]
Ming Liu, Wray Buntine, Gholamreza Haffari
In Proceedings of CoNLL, 2018.

Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach [code]
Trang Vu, Gholamreza Haffari
In Proceedings of EMNLP, 2018.

Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model
Poorya Zaremoodi, Gholamreza Haffari
In Proceedings of COLING, 2018.

Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations
Sameen Maruf, Andre Martins, Gholamreza Haffari
Proceedings of the Third Conference on Machine Translation (WMT), 2018.

Document Context Neural Machine Translation with Memory Networks [code]
Sameen Maruf, Gholamreza Haffari
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018.

Learning How to Actively Learn: A Deep Imitation Learning Approach [code]
Ming Liu, Wray Buntine, Gholamreza Haffari
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018.

Graph-to-Sequence Learning using Gated Graph Neural Networks [code]
Daniel Beck, Gholamreza Haffari, Trevor Cohn
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018.

Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation
Poorya Zaremoodi, Wray Buntine, Gholamreza Haffari
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018.

Iterative Back-Translation for Neural Machine Translation
Cong Duy Vu Hoang, Philipp Koehn, Gholamreza Haffari, Trevor Cohn
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, pages 1–7, 2018.

Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach [code]
Poorya Zaremoodi, Gholamreza Haffari
Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018.

The Context-dependent Additive Recurrent Neural Net
Quan Hung Tran, Tuan Lai, Ingrid Zukerman, Gholamreza Haffari, Trung Bui and Hung Bui
Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018.

2017

Towards Decoding as Continuous Optimization in Neural Machine Translation [code]
Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn
In Proceedings of EMNLP, 2017.

Preserving Distributional Information in Dialogue Act Classification
Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari
In Proceedings of EMNLP, 2017.

Word Representation Models for Morphologically Rich Languages in Neural Machine Translation
Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari
In Proceedings of SCLEM workshop at EMNLP, 2017.

Persian to English Translation Problems of Topicalization Process in the Apertium Platform
Parya Razmdideh, Abbas Ali Ahangra, Seyyed Mojtaba Sabbagh Jafari, Gholamreza Haffari
To Appear in Translation Studies Journal, 2017.

Persian–Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language
Benyamin Ahmadnia, Javier Serrano, Gholamreza Haffari
In Proceedings of Recent Advances in Natural Language Processing (RANLP), 2017.

Compressed Nonparametric Language Modelling [slides] [supplementary]
Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2017.

A Generative Attentional Neural Network Model for Dialogue Act Classification
Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari
In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2017.

Data dependent dissimilarity measure: An effective alternative to geometric distance measures
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
Knowledge and Information Systems (KAIS) Journal, 2017.

Efficient Benchmarking of NLP APIs using Multi-armed Bandits
Gholamreza Haffari, Tuan Tran, Mark Carman
In Proceedings of the Conference of European Chapter of the Association for Computational Linguistics (EACL), 2017.

A Hierarchical Neural Model for Learning Sequence of Dialogue Acts
Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari
In Proceedings of the Conference of European Chapter of the Association for Computational Linguistics (EACL), 2017.

HetFHMM: A novel approach to infer tumour heterogeneity using factorial hidden Markov model
Mohammad Shamsur Rahman, Ann Nicholson, Gholamreza Haffari
Journal of Computational Biology, 2017.

PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy
Jiangning Song, Fuyi Li, Andre Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Gholamreza Haffari, Kuo-Chen Chou, Geoffrey I. Webb, Robert N. Pike
Accepted to Bioinformatics, 2017.

HIT'nDRIVE: Patient-specific multi-driver gene prioritization for precision oncology
Raunak Shrestha, Ermin Hodzic, Thomas Sauerwald, Phuong Dao, Kendric Wang, Jake Yeung, Shawn Anderson, Fabio Vandin, Gholamreza Haffari, Colin C Collins and Cenk Sahinalp
Genome Research, 2017.

Melphalan modifies the bone microenvironment by enhancing osteoclast formation
Ryan C. Chai, Michelle M. McDonald, Rachael L. Terry, Nataša Kovačić, Jenny M. Down, Jessica A. Pettitt, Sindhu T. Mohanty, Shruti Shah, Gholamreza Haffari, Jiake Xu, Matthew T. Gillespie, Michael J. Rogers, John T. Price, Peter I. Croucher, and Julian M.W. Quinn
Oncotarget, 2017.

2016

Multi-domain evaluation framework for named entity recognition tools
Zahraa S. Abdallaha, Mark Carman, Gholamreza Haffari
Computer Speech & Language Journal, Online 12 November 2016.

Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources
Simon Kocbek, Lawrence Cavedon, David Martinez, Christopher Bain, Chris Mac Manus, Gholamreza Haffari, Ingrid Zukerman, Karin Verspoor
Journal of Biomedical Informatics, Volume 64, 2016.

Improving neural translation models with linguistic factors
Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn
In Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2016.
Best Paper Award

Learning cascaded latent variable models for biomedical text classification
Ming Liu, Gholamreza Haffari, Wray Buntine
In Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2016.

Improving Word Alignment of Rare Words with Word Embeddings
Masoud Jalili, Hesham Faili, Gholamreza Haffari
In Proceedings of the International Conference on Computational Linguistics (COLING), 2016.

Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees [code]
Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn
Transactions of the Association for Computational Linguistics (TACL), 2016.

Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling [code]
Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari
In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016.

Incorporating Structural Alignment Biases into an Attentional Neural Translation Model [code]
Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari
In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2016.

A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models [video] [code]
Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein
In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2016.

Incorporating Context into Recurrent Neural Network Language Models
Cong Duy Vu Hong, Trevor Cohn, Gholamreza Haffari
In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2016.

Inter-document Contextual Language model
Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari
In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2016.

2015

Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees [code]
Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn
In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.

Automated Analysis of Bangla Poetry for Classification and Poet Identification
Geetanjali Rakshit, Anupam Ghosh, Pushpak Bhattacharyya, Gholamreza Haffari
In Proceedings of the 12th International Conference on Natural Language Processing (ICON), 2015.

Structured Prediction of Sequences and Trees using Infinite Contexts
Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann Nicholson
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2015.

Half-space Mass: A maximally robust and efficient data depth method
Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
Machine Learning Journal, Volume 100, Issue 2, pp 677-699.
Also appeared in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2015.

Beyond tf-idf and cosine distance in documents dissimilarity measure
Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio
In Proceedings of The Asia Information Retrieval Societies Conference (AIRS), 2015.

Novel Bernstein-like Concentration Inequalities for the Missing Mass
Bahman Yari Saeed Khanloo, Gholamreza Haffari
In Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI), 2015.

Optimizing Multivariate Performance Measures for Learning Relation Extraction Models
Gholamreza Haffari, Ajay Nagesh, Ganesh Ramakrishnan
In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2015.

Predicting Segmentation Errors in an Iris Recognition System
Nitin Mahadeo, Gholamreza Haffari, Andrew Paplinski
In Proceedings of the International Conference on Biometrics (ICB), 2015.

2014

mp-dissimilarity: A data dependent dissimilarity measure
Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, and Takashi Washio
In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2014.
Acceptance rate: 19%

Noisy Or-based model for Relation Extraction using Distant Supervision
Ajay Nagesh, Gholamreza Haffari, Ganesh Ramakrishnan
In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014.

HIT'nDRIVE: Multi-Driver Gene Prioritization based on Hitting Time
Raunak Shrestha, Ermin Hodzic, Jake Yeung, Kendric Wang, Thomas Sauerwald, Phuong Dao, Shawn Anderson, Himisha Beltran, Mark A. Rubin, Colin Collins, Gholamreza Haffari, Cenk Sahinalp
In Proceedings of the 18th Annual International Conference on Research in Computational Molecular Biology (RECOMB), LNCS/LNBI 8394: 293-306, 2014.

2013

Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules
Baskaran Sankaran, Gholamreza Haffari, Anoop Sarkar
In Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP), 2013.

Graph Propagation for Paraphrasing Out-of-Vocabulary Words in Statistical Machine Translation
Majid Razmara, Maryam Siahbani, Gholamreza Haffari, Anoop Sarkar
In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 2013.

An Infinite Hierarchical Bayesian Model of Phrasal Translation
Trevor Cohn, Gholamreza Haffari
In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 2013.

The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis
Kashyap Popat, Balamurali A.R, Pushpak Bhattacharyya, Gholamreza Haffari
In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 2013.

An Efficient Algorithm for Upper Bound on the Partition Function of Nucleic Acids
Hamidreza Chitsaz, Elmirasadat Forouzmand, Gholamreza Haffari
Journal of Computational Biology 20(7): 486-494; (doi:10.1089/cmb.2013.0003) (arXiv:1301.1590 [q-bio.BM])

Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis
Habil Zare, Gholamreza Haffari, Arvind Gupta, Ryan R Brinkman
BMC Genomics (doi:10.1186/1471-2164-14-S1-S14), 2013.

2012

Compact Rule Extraction for Hierarchical Phrase-based Translation
Baskaran Sankaran, Gholamreza Haffari, Anoop Sarkar
The 10th bi-annual conference of the Association for Machine Translation in the Americas (AMTA), 2012.

DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer
Ali Bashashati*, Gholamreza Haffari*, Jiarui Ding*, Gavin Ha, Kenneth Liu, Jamie Rosner, Samuel Aparicio, and Sohrab Shah
Genome Biology, Issue 12, Vol 13, 2012.
*: Joint first authors.

The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
Christina Curtis, Sohrab P. Shah, Suet-Feung Chin, Gulisa Turashvili, Oscar M. Rueda, Mark J. Dunning, Doug Speed, Andy G. Lynch, Shamith Samarajiwa, Yinyin Yuan, Stefan Gr, Gavin Ha, Gholamreza Haffari, Ali Bashashati, Roslin Russell, Steven McKinney, Anita Langer, Andrew Green, Elena Provenzano, Gordon Wishart, Sarah Pinder, Peter Watson, METABRIC Group, Florian Markowitz, Leigh Murphy, Ian Ellis, Arnie Purushotham, Anne-Lise Borresen-Dale, James D. Brenton, Simon Tavar, Carlos Caldas and Samuel Aparicio
Nature 486, 346–352, 21 June 2012

The clonal and mutational evolution spectrum of primary triple-negative breast cancers
Sohrab P. Shah, Andrew Roth*, Rodrigo Goya*, Arusha Oloumi*, Gavin Ha*, Yongjun Zhao*, Gulisa Turashvili*, Jiarui Ding*, Kane Tse*, Gholamreza Haffari*, Ali Bashashati*, Leah Prentice, Jaswinder Khattra, Angela Burleigh, Damian Yap, Andrew McPherson, Karey Shumansky, Anamaria Crisan, Ryan Giuliany, Alireza Heravi-Moussavi, Jamie Rosner, Daniel Lai, Inanc Birol, Richard Varhol, Angela Tam, Noreen Dhalla, Thomas Zeng, Kevin Ma, Simon Chan, Malachi Griffith, Annie Moradian, S.-W. Grace Cheng, Gregg Morin, Peter Watson, Karen Gelmon, Stephen Chia, Suet-Feung Chin, Christina N Curtis, Oscar Rueda, Paul Pharoah, Sambasivarao Damaraju, John Mackey, Kelly Hoon, Timothy Harkins, Vasisht Tadigotla, Mahvash Sigaroudinia, Philippe Gascard, Thea Tlsty, Joseph Costello, Irmtraud M Meyer, Connie J Eaves, Steven Jones, David Huntsman, Martin Hirst, Carlos Caldas, Marco A Marra, Samuel Aparicio
Nature 486, 395–399, 21 June 2012
*: Joint second authors.

Feature based classifiers for somatic mutation detection in tumour-normal paired sequencing data
Jiarui Ding, Ali Bashashati, Andrew Roth, Arusha Oloumi, Kane Tse, Gholamreza Haffari, Martin Hirst, Marco Marra, Anne Condon, Samuel Aparicio, and Sohrab Shah
Bioinformatics, January 16, 2012

Automated analysis of multidimensional flow cytometry data improves diagnostic accuracy between mantle cell lymphoma and small lymphocytic lymphoma
Ali Bashashati*, Habil Zare*, Robert Kridel, Nima Aghaeepour, Gholamreza Haffari, Joseph Connors, Randy D. Gascoyne, Arvind Gupta, Ryan R. Brinkman, Andrew Weng
American Journal of Clinical Pathology, January 2012, 137(1):75-85
*: Both authors contributed equally to this work.

2011

Bayesian Extraction of Minimal SCFG Rules for Hierarchical Phrase-based Translation
B. Sankaran, G.R. Haffari, and A. Sarkar
Sixth Workshop on Statistical Machine Translation (WMT), 2011.

An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing
G.R. Haffari, M. Razavi and A. Sarkar
49th Annual Meeting of the Association for Computational Linguistics (ACL), 2011.

Modeling the Temporal Dynamics of Social Rating Networks using Bidirectional Effects of Social Relations and Rating Patterns
M. Jamali, G. R. Haffari, and M. Ester
The 20th international conference on world wide web (WWW), 2011.

2010

Semi-supervised Block ITG Models for Word Alignment
G.R. Haffari, M. Razmara, F. Popowich
The Pacific Northwest Regional NLP Workshop (NW-NLP), 2010.

Latent SVMs for Semantic Role Labeling using LTAG Derivation Trees
Y. Liu, G.R. Haffari, A. Sarkar
The Pacific Northwest Regional NLP Workshop (NW-NLP), 2010.

A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
Y. Wang, G.R. Haffari, S. Wang, G. Mori
Advances in Neural Information Processing Systems (NIPS), 2010.

2009

Active Learning for Multilingual Statistical Machine Translation
G.R. Haffari, A. Sarkar
47th Annual Meeting of the Association for Computational Linguistics (ACL), 2009.
Errata: Due to our oversight the published paper does not explicitly state that the PORTAGEShared machine translation system developed at the National Research Council (NRC), Canada was used as the base translation system for all the experiments reported in this paper.

Hierarchical Dirichlet Trees for Information Retrieval
G.R. Haffari, Y. W. Teh
North American Chapter of the ACL - Human Language Technologies (NAACL-HLT), 2009.
slides

Active Learning for Statistical Phrase-based Machine Translation
G.R. Haffari, M. Roy, A. Sarkar
North American Chapter of the ACL - Human Language Technologies (NAACL-HLT), 2009.
slides

2008

Homotopy-based Semi-Supervised Hidden Markov Models for Sequence Labeling
G.R. Haffari, A. Sarkar
The 22nd International Conference on Computational Linguistics (COLING), 2008.
Also look at this longer technical report TR 2008-15 in the School of Computing Sciences, SFU
slides

Boosting with Incomplete Information
G.R. Haffari*, Y. Wang*, S. Wang, G. Mori, F. Jiao, (* : authors contributed equally)
The 25th International Conference on Machine Learning (ICML), 2008.
slides

Semi-supervised model adaptation for statistical machine translation
N. Ueffing, G.R. Haffari, A. Sarkar
Machine Translation Journal, 2008.

Semi-supervised learning for Machine Translation
N. Ueffing, G.R. Haffari, A. Sarkar
Book chapter in Learning Machine Translation,
Eds. Cyril Goutte, Nicola Cancedda, Marc Dymetman and George Foster. MIT Press. 2008

2007

Analysis of Semi-Supervised Learning with the Yarowsky Algorithm
G.R. Haffari, A. Sarkar
23rd Conference on Uncertainty in Artificial Intelligence (UAI), 2007.
Also look at this longer technical report TR 2007-07 in the School of Computing Sciences, SFU
slides

Transductive Learning for Statistical Machine Translation
N. Ueffing, G.R. Haffari, A. Sarkar
45th Annual Meeting of Association for Computational Linguistics (ACL), 2007.
slides

2002

Analysis of STAGE algorithm based on Solving Bin-Packing Problem
G.R. Haffari, S.B. Shouraki
The International Conference on Machine Learning and Applications (ICMLA), Las Vegas, 2002

Different Local Search Algorithms in STAGE for Solving Bin Packing Problem
S.B. Shouraki, G.R. Haffari
Eurasia Information and Communication Technologies (Eurasia-ICT'02), 2002

Intelligent Approaches for Optimization: A Survey
G.R. Haffari
Iranian Electrical Engineering Conference, 2002

Tutorials

Machine Learning Approaches for Dealing with Limited Bilingual Data in Statistical Machine Translation
G.R. Haffari
Tutorial presented at Machine Translation Summit XII, 2009.

Inductive Semi-supervised Learning Methods: with Applicability to Natural Language Processing
A. Sarkar, and G.R. Haffari
Tutorial presented at HLT-NAACL, 2006.
bibliography

Theses

Machine Learning Approaches for Dealing with Limited Bilingual Data in Statistical Machine Translation
G.R. Haffari
PhD Thesis, School of Computing Sciences, Simon Fraser University, 2009
Senior Supervisor: Prof. Anoop Sarkar

Combinatorial Optimization based on Evaluation Functions
G.R. Haffari
MSc Thesis, Sharif University of Technology, 2002

Technical Reports

Homotopy-based Semi-supervised Hidden Markov Models and Probabilistic Context Free Grammars
G.R. Haffari, A. Sarkar
Technical Report TR 2008-15, School of Computing Science, SFU, 2008

Analysis of Semi-Supervised Learning with the Yarowsky Algorithm
G.R. Haffari, A. Sarkar
Technical Report TR 2007-07, School of Computing Science, SFU, 2007

A Survey on Inductive Semi-Supervised Learning
G.R. Haffari
This report is written as one of the requirements for the PhD degree, SFU, 2006
slides . Other good surveys are written by Jerry Zhu and Matthias Seeger.

Model free Reinforcement Learning for Traffic Light Control
G.R. Haffari
Technical report, Azad University, 2003

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