From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks? Tao Feng, Lizhen Qu, Niket Tandon, Zhuang Li, Xiaoxi Kang, Gholamreza Haffari. arXiv preprint, 2024.

CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems Tao Feng, Lizhen Qu, Xiaoxi Kang, Gholamreza Haffari. arXiv preprint, 2024.

SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking Zhuang Li, Yuncheng Hua, Thuy-Trang Vu, Haolan Zhan, Lizhen Qu, Gholamreza Haffari. arXiv preprint, 2024.

VersiCode: Towards Version-controllable Code Generation Tongtong Wu, Weigang Wu, Xingyu Wang, Kang Xu, Suyu Ma, Bo Jiang, Ping Yang, Zhenchang Xing, Yuan-Fang Li, Gholamreza Haffari. arXiv preprint, 2024.

NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human Shuo Huang, William MacLean, Xiaoxi Kang, Anqi Wu, Lizhen Qu, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari. arXiv preprint, 2024.

Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs Fatemeh Shiri, Van Nguyen, Farhad Moghimifar, John Yoo, Gholamreza Haffari, Yuan-Fang Li. arXiv preprint, 2024.

Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts Minghao Wu, Yulin Yuan, Gholamreza Haffari, Longyue Wang. arXiv preprint, 2024.

Double Mixture: Towards Continual Event Detection from Speech Jingqi Kang, Tongtong Wu, Jinming Zhao, Guitao Wang, Yinwei Wei, Hao Yang, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari. arXiv preprint, 2024.

Modelling Political Coalition Negotiations Using LLM-based Agents Farhad Moghimifar, Yuan-Fang Li, Robert Thomson, Gholamreza Haffari. arXiv preprint, 2024.

Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models Minghan Wang, Thuy-Trang Vu, Yuxia Wang, Ehsan Shareghi, Gholamreza Haffari. arXiv preprint, 2024.

Continual Learning for Large Language Models: A Survey Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui Pan, Thuy-Trang Vu, Gholamreza Haffari. arXiv preprint, 2024.

SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations Yuncheng Hua, Zhuang Li, Linhao Luo, Kadek Ananta Satriadi, Tao Feng, Haolan Zhan, Lizhen Qu, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari. arXiv preprint, 2024.

Towards Event Extraction from Speech with Contextual Clues Jingqi Kang, Tongtong Wu, Jinming Zhao, Guitao Wang, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari. arXiv preprint, 2024.

Adapting Large Language Models for Document-Level Machine Translation Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George Foster, Gholamreza Haffari. arXiv preprint, 2024.

Natural Language Processing for Dialects of a Language: A Survey Aditya Joshi, Raj Dabre, Diptesh Kanojia, Zhuang Li, Haolan Zhan, Gholamreza Haffari, Doris Dippold. arXiv preprint, 2024.

MiniCache: KV Cache Compression in Depth Dimension for Large Language Models Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang. the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.

An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models Fatemeh Shiri, Xiao-Yu Guo, Mona Golestan Far, Xin Yu, Gholamreza Haffari, Yuan-Fang Li . The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR Minghan Wang, Yuxia Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction YUNCHENG HUA, Yujin Huang, Shuo Huang, Tao Feng, Lizhen Qu, Christopher Bain, Richard Bassed, Gholamreza Haffari. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues YUNCHENG HUA, Lizhen Qu, Gholamreza Haffari. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari . The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

Multi-Cultural Norm Base: Frame-based Norm Discovery in Multi-Cultural Settings Viet Thanh Pham, SHILIN QU, Farhad Moghimifar, Suraj Sharma, Yuan-Fang Li, Weiqing Wang, Gholamreza Haffari. The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2024.

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning Linhao Luo, Yuan-Fang Li, Reza Haffari, Shirui Pan. The International Conference on Learning Representations (ICLR), 2024.

RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations Haolan Zhan, Zhuang Li, Xiaoxi Kang, Tao Feng, Yuncheng Hua, Lizhen Qu, Yi Ying, Mei Rianto Chandra, Kelly Rosalin, Jureynolds Jureynolds, Suraj Sharma, Shilin Qu, Linhao Luo, Lay-Ki Soon, Zhaleh Semnani Azad, Ingrid Zukerman, Gholamreza Haffari. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024.

Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues Shilin Qu, Weiqing Wang, Xin Zhou, Haolan Zhan, Zhuang Li, Lizhen Qu, Linhao Luo, Yuan-Fang Li and Gholamreza Haffari. Transactions on Multimedia Computing Communications and Applications.

Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning Mladen Raković, Yuheng Li, Navid Mohammadi Foumani, Mahsa Salehi, Levin Kuhlmann, Geoffrey Mackellar, Roberto Martinez-Maldonado, Gholamreza Haffari, Zachari Swiecki, Xinyu Li, Guanliang Chen, Dragan Gašević. Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024.

IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models Tao Feng, Lizhen Qu, Zhuang Li, Haolan Zhan, Yuncheng Hua, Gholamreza Haffari. ACL, 2024.

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs Minh-Vuong Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari. ACL, 2024.

MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations Gia-Bao Ho, Chang Tan, Zahra Darban, Mahsa Salehi, Gholamreaz Haffari, Wray Buntine. ACL, 2024.

Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach Zhuang Li, Levon Haroutunian, Raj Tumuluri, Philip Cohen, Gholamreza Haffari. EACL, 2024.

Importance-Aware Data Augmentation for Document-Level Neural Machine Translation Minghao Wu, Yufei Wang, George Foster, Lizhen Qu, Gholamreza Haffari. EACL, 2024.

Let's Negotiate! A Survey of Negotiation Dialogue Systems Haolan Zhan, Yufei Wang, Tao Feng, Yuncheng Hua, Suraj Sharma, Zhuang Li, Lizhen Qu, Zhaleh Semnani Azad, Ingrid Zukerman, Gholamreza Haffari. EACL, 2024.

SocialDial: A Benchmark for Socially-Aware Dialogue Systems Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad and Gholamreza Haffari. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.

Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion Linhao Luo,Yuan Fang Li,Shirui Pan and Gholamreza Haffari. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.

Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery Tao Feng, Lizhen Qu and Gholamreza Haffari. In Transactions of ACL (TACL), 2023.

ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi and Gholamreza Haffari. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Voicify Your UI: Towards Android App Control with Voice Commands Minh Duc Vu, Han Wang, Zhuang Li, Zhenchang Xing, Chunyang Chen and Gholamreza Haffari. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2023.

Document Flattening: Beyond Concatenating Context for Document-level Neural Machine Translation Minghao Wu, George Foster, Lizhen Qu and Gholamreza Haffari. The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023.

On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex Terry Yue Zhuo, Zhuang Li, Yujin Huang, Yuan-Fang Li, Weiqing Wang and Gholamreza Haffari. The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023.

Active Learning for Multilingual Semantic Parser Zhuang Li and Gholamreza Haffari. The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023.

Generating Synthetic Speech from SpokenVocab for Speech Translation Zhuang Li and Gholamreza Haffari. The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023.

Learning Object-Language Alignments for Open-Vocabulary Object Detection Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Zehuan Yuan, Jianfei Cai and Gholamreza Haffari. International Conference on Learning Representations (ICLR), 2023.

An Additive Instance-Wise Approach to Multi-class Model Interpretation Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Seyit Camtepe, Dinh Phung and Gholamreza Haffari. International Conference on Learning Representations (ICLR), 2023.

Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs Linhao Luo, Shirui Pan and Gholamreza Haffari. In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2023.

LAVA: Label-efficient Visual Learning and Adaptation Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi and Gholamreza Haffari. IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.

Towards relation extraction from speech Tongtong Wu, Guitao Wang, Jinming Zhao, Zhaoran Liu, Guilin Qi, Yuan-Fang Li and Gholamreza Haffari. To appear the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan and Gholamreza Haffari. To appear in the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.

RedApt: An Adaptor for wav2vec 2 Encoding: Faster and Smaller Speech Translation without Quality Compromise Jinming Zhao, Hao Yang, Ehsan Shareghiand Gholamreza Haffari. To appear in the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.

Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster Fine-tuning with Less Labels in Speech Processing Hao Yang, Jinming Zhao, Ehsan Shareghi and Gholamreza Haffari. To appear in the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.

Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation Xuanli He, Islam Nassar, Jamie Kiros, Mohammad Norouzi and Gholamreza Haffari. In Transactions of ACL (TACL), 2022.

Multimodal transformer with variable-length memory for vision-and-language navigation Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Zehuan Yuan and Gholamreza Haffari. In Proceedings of the European Conference on Computer Vision (ECCV), 2022.

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Bin Yang and Gholamreza Haffari. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Inductive Biases for Low Data VQA: A Data Augmentation Approach Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray Buntine and Gholamreza Haffari. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022.

Active Learning by Feature Mixing Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Anton van den Hengel, Javen Qinfeng Shi and Gholamreza Haffari. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training Thuy Vu, Shahram Khadivi, Dinh Phung and Gholamreza Haffari. In Findings of the Association for Computational Linguistics (Findings-ACL) , 2022.

M-adapter: Modality adaptation for end-to-end speech-to-text translation Jinming Zhao, Hao Yang, Ehsan Shareghi and Gholamreza Haffari. In Proceedings of Interspeech, 2022.

Paraphrasing Techniques for Maritime QA system Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Yuan-Fang Li, Van Nguyen and Gholamreza Haffari. In Proceedings of the 25th International Conference on Information Fusion (FUSION), 2022.

Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu and Gholamreza Haffari. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022.

Teaching Neural Module Networks to Do Arithmetic Jiayi Chen, Xiao-Yu Guo, Yuan-Fang Li and Gholamreza Haffari. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022.

Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation? Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Phung and Gholamreza Haffari. In Proceedings of the Seventh Conference on Machine Translation (WMT), 2022.

KC-GEE: Knowledge-based Conditioning for Generative Event Extraction Tongtong Wu, Fatemeh Shiri, Jingqi Kang, Guilin Qi, Yuan-Fang Li and Gholamreza Haffari. In submission, 2022.

Complex Reading Comprehension Through Question Decomposition Xiao-Yu Guo, Yuan-Fang Li and Gholamreza Haffari. The Annual Workshop of the Australasian Language Technology Association (ALTA), 2022.

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

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

iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad and 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 and 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 and 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 and 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 and 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, Mahsa Baktashmotlagh and Gholamreza Haffari. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL)-Findings, 2021.

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

Multilingual Simultaneous Neural Machine Translation Philip Arthur, Dongwon Ryu and 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, Guilin Qi, Yujin Zhu, Guoqiang Xu and Gholamreza Haffari. 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.

Few-Shot Semantic Parsing for New Predicates Zhuang Li, Lizhen Qu, Shuo Huang and 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 and 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, Malhar Kulkarni and Gholamreza Haffari. 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 and Gholamreza HaffariAccepted in ACM Computing Surveys.

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

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

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

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

Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models Thuy-Trang Vu, Dinh Phung and 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 and 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, Guilin Qi, Tongtong Wu and Gholamreza Haffari 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, Walter Chang, Zhe Lin, Trung Bui, Franck Dernoncourt, Nhan Dam and Gholamreza Haffari 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, Mohammad Norouzi and Gholamreza Haffari 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 and 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, Pankaj Singh and Gholamreza Haffari 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, Guilin Qi, Wei Wu and Gholamreza Haffari 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 and 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 and Gholamreza Haffari To Appear in SIGIR, 2020.

Decoding As Dynamic Programming For Recurrent Autoregressive Models Najam Zaidi, Trevor Cohn and 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 and 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 and Gholamreza Haffari To Appear in LREC, 2020.

Learning to Multi-Task Learn for Better Neural Machine Translation Poorya Zaremoodi and 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 and Gholamreza Haffari SN Computer Science (Springer Journal), 2020.

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

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

A Pointer Network Architecture for Context-Dependent Semantic Parsing Xuanli He, Quan Tran and 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 and 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 and 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 ZareMood and 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 and 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 and 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 and 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 and 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 and 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, Ming Liu, Christoph Bergmeir, Michelle Ananda-Rajah and Gholamreza Haffari Journal of Clinical Medicine, 2019.

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

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

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

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

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

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

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

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

Document Context Neural Machine Translation with Memory Networks Sameen Maruf and 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 and 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 Daniel Beck, Trevor Cohn and Gholamreza Haffari 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 and 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, Trevor Cohn and Gholamreza Haffari 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 Poorya Zaremoodi and 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, Trung Bui and Hung Bui and 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.

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

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

Word Representation Models for Morphologically Rich Languages in Neural Machine Translatio Ekaterina Vylomova, Trevor Cohn, Xuanli He and 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 and 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 and Gholamreza Haffari In Proceedings of Recent Advances in Natural Language Processing (RANLP), 2017.

Compressed Nonparametric Language Modelling[slides] [supplementary] Ehsan Shareghi, Trevor Cohn and Gholamreza Haffari 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 and 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 and Gholamreza Haffari Knowledge and Information Systems (KAIS) Journal, 2017.

Efficient Benchmarking of NLP APIs using Multi-armed Bandits Tuan Tran, Mark Carman and Gholamreza Haffari 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 and 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 and 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, Kuo-Chen Chou, Geoffrey I. Webb, Robert N. Pike and Gholamreza Haffari 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, Colin C Collins, Cenk Sahinal and Gholamreza Haffari 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, Jiake Xu, Matthew T. Gillespie, Michael J. Rogers, John T. Price, Peter I. Croucher, Julian M.W. Quinn and Gholamreza Haffari Oncotarget, 2017

Multi-domain evaluation framework for named entity recognition tools Zahraa S. Abdallaha, Mark Carman and 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, Ingrid Zukerman, Karin Verspoor and Gholamreza Haffari Journal of Biomedical Informatics, Volume 64, 2016.

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

Improving Word Alignment of Rare Words with Word Embeddings Masoud Jalili, Hesham Faili and 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, Trevor Cohn and Gholamreza Haffari Transactions of the Association for Computational Linguistics (TACL), 2016.

Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling[code] Ehsan Shareghi, Trevor Cohn and 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 and 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, Jacob Eisenstein and Gholamreza Haffari 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 and Gholamreza Haffari In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2016.

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

Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees[code] Ehsan Shareghi, Matthias Petri, Trevor Cohn and Gholamreza Haffari 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 and 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, Trevor Cohn, Ann Nicholson and Gholamreza Haffari 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 and 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, Takashi Washio and Gholamreza Haffari In Proceedings of The Asia Information Retrieval Societies Conference (AIRS), 2015.

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

Optimizing Multivariate Performance Measures for Learning Relation Extraction Models Ajay Nagesh, Ganesh Ramakrishnan and Gholamreza Haffari 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 Syste Nitin Mahadeo, Andrew Paplinski and Gholamreza Haffari In Proceedings of the International Conference on Biometrics (ICB), 2015.

mp-dissimilarity: A data dependent dissimilarity measure Sunil Aryal, Kai Ming Ting, Takashi Washio and Gholamreza Haffari 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, Ganesh Ramakrishnan and Gholamreza Haffari 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, Cenk Sahinalp and Gholamreza Haffari In Proceedings of the 18th Annual International Conference on Research in Computational Molecular Biology (RECOMB), LNCS/LNBI 8394: 293-306, 2014.

Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules Baskaran Sankaran, Anoop Sarkar and Gholamreza Haffari 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, Anoop Sarkar and Gholamreza Haffari 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 and 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 and 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 and 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, Arvind Gupta, Ryan R Brinkman and Gholamreza Haffari BMC Genomics (doi:10.1186/1471-2164-14-S1-S14), 2013.

Compact Rule Extraction for Hierarchical Phrase-based Translation Baskaran Sankaran, Anoop Sarkar and Gholamreza Haffari 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*, Jiarui Ding*, Gavin Ha, Kenneth Liu, Jamie Rosner, Samuel Aparicio, Sohrab Shah and Gholamreza Haffari 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, 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 and Gholamreza Haffari 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*, 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 and Gholamreza Haffari 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, Martin Hirst, Marco Marra, Anne Condon, Samuel Aparicio, and Sohrab Shah and Gholamreza Haffari 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, Joseph Connors, Randy D. Gascoyne, Arvind Gupta, Ryan R. Brinkman, Andrew Weng and Gholamreza Haffari American Journal of Clinical Pathology,January 2012, 137(1):75-85.*: Both authors contributed equally to this work.

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

An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing M. Razavi, A. Sarkar and Gholamreza Haffari 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, M. Ester and Gholamreza Haffari The 20th international conference on world wide web (WWW), 2011.

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

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

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

Active Learning for Multilingual Statistical Machine Translation A. Sarkar and Gholamreza Haffari 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 Y. W. Teh and Gholamreza Haffari North American Chapter of the ACL - Human Language Technologies (NAACL-HLT), 2009. slides

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

Homotopy-based Semi-Supervised Hidden Markov Models for Sequence Labeling A. Sarkar and Gholamreza Haffari 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 Y. Wang*, S. Wang, G. Mori, F. Jiao, (* : authors contributed equally) and Gholamreza Haffari The 25th International Conference on Machine Learning (ICML), 2008. slides

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

Semi-supervised learning for Machine Translation N. Ueffing, A. Sarkar and Gholamreza Haffari Eds. Cyril Goutte, Nicola Cancedda, Marc Dymetman and George Foster. MIT Press. 2008.

Analysis of Semi-Supervised Learning with the Yarowsky Algorithm A. Sarkar and Gholamreza Haffari 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, A. Sarkar and Gholamreza Haffari 45th Annual Meeting of Association for Computational Linguistics (ACL), 2007. slides

Analysis of STAGE algorithm based on Solving Bin-Packing Problem S.B. Shouraki and Gholamreza Haffari 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 and Gholamreza Haffari Eurasia Information and Communication Technologies (Eurasia-ICT'02), 2002

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

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

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