I am a 3rd year PhD student in the Information Retrieval group and Data System group of the David R. Cheriton School of Computer Science at the University of Waterloo since 2015. My supervisors are Mark D. Smucker and Gordon V. Cormack. I am also working closely with Jimmy Lin, Maura Grossman and Charlie Clarke.
My broad research interests include Information Retrieval, NLP and Machine Learning (especially active learning and deep learning). Currently, my research focus on building a High-Recall-Information-Retrieval (HRIR) system to improve the efficiency and effectiveness of relevant documents retrieval[4,5,6,11,12,14]. Another part of my research is investigating user behavior data from search log. I am also working on deep neural network and trying to apply it on solving Question Answering and Ad-Hoc search problems [3,8,9,10].
Before studying at University of Waterloo, I studied at Harbin Institute of Technology. I have lived, studied or worked in Canada, US, France and Italy for more than three months. Traveling around the world and getting to know more people are always my interests.
Research Intern at Oracle Lab, MA, USA. Jun.2016 - Aug.2016Learning to rank for eCommerce Search.
Software Engineer Intern at Adobe Systems (Beijing). Oct.2011 - July.2012TaaS System Implementation [Bachelor Thesis]
Pass the PhD Comp2 examination [proposal], now a PhD candidate. April, 2018.
Present user requery behaviour work  at CHIIR 2018 [New Jersey]. Mar, 2018.
Talk about High-Recall-Information-Retrieval work with Google Cloud Team [Mountain View]. Dec, 2017.
 "Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval", Arxiv
Haotian Zhang, Gordon Cormack, Maura Grossman and Mark Smucker
 "UWaterlooMDS at the TREC 2017 Common Core Track", TREC 2017
Haotian Zhang, Mustafa Abualsaud, Nimesh Ghelani, Angshuman Ghosh, Mark Smucker, Gordon Cormack and Maura Grossman
 "Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams", SIGIR Neu-IR 2017
Jinfeng Rao, Hua He, Haotian Zhang, Ferhan Ture, Royal Sequiera, Salman Mohammed, and Jimmy Lin
 "Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering", SIGIR Neu-IR 2017
Royal Sequiera, Gaurav Baruah, Zhucheng Tu, Salman Mohammed, Jinfeng Rao, Haotian Zhang, and Jimmy Lin.
Robin Cohen, Alan Tsang, Krishna Vaidyanathan, and Haotian Zhang
Gaurav Baruah, Haotian Zhang, Rakesh Guttikonda, Jimmy Lin, Mark D. Smucker and Olga Vechtomova
Haotian Zhang, Jimmy Lin, Gordon Cormack, Mark Smucker
Haotian Zhang and Shu Liu
Castorini: Deep Neural Network Frameworks for Question AnsweringCode for the Castorini
Continous Active Learning for TREC Total Recall (BMI) 2015Code for the local version of BMI implementation
CS848-002 Advanced Topics in Data Bases: High-Stakes Information Retrieval
CS886-002 Advance Topics in Artificial Intelligence - Theoretical Found of Clustering
CS848-002 Advance Topics in Databases - Search and Recommedation
CS889-001 Advance Topics in HCI - Human in the Loop
CS886-001 Advance Topics in Artificial Intelligence - Trust Modeling and Online Social Networks
CS350 - 2016 to now
CS246 - 2015 Spring, Fall
CS116 - 2015 Winter
Cheriton Scholarship 2017-2018
GO-Bell Scholarship 2015-2016
SIGIR Travel Grant