Sequential Recommendation: From Representation Learning to Reasoning
In this thesis, we focus on sequential recommendation methods: from representation learning to large language model (LLM)-based reasoning. On the one hand, representation learning-based sequential recommendation methods usually feed ID embeddings of interacted items into models, such as deep neural networks, to generate user representation vectors. They then rank candidate items to create a recommendation list based on the similarity between user representation vectors and candidate item vectors. On the other hand, the LLM-based reasoning approach mainly depend on the LLM's strong reasoning ability and rich world knowledge. When using LLM-based reasoners, it requires carefully designed prompts and/or demonstration examples considering the task complexity and prompt length constraint.
This thesis consists of three parts. In the first part, we aim to improve representation learning for sequential recommendation and present our efforts in building an explanation-guided contrastive learning sequential recommend…
Subtitle: PhD Dissertation Defense by WANG Lei. Contact: scisseminars@smu.edu.sg. Speaker Details: , WANG Lei
PhD Candidate
School of Computing and Information Systems
Singapore Management University, WANG Lei is a PhD candidate in Computer Science at SMU School of Computing and Information System, under the supervision of Prof. LIM Ee-Peng. His primary research interests lie in large language models and sequential recommendations. His work includes improving representation learning-based sequential recommendations and large language model-based sequential recommendations. Prior to joining SMU, WANG… RSVP: . Reserve a seat: https://computing.smu.edu.sg/newsletter/phd-dissertation-defense-wang-lei-sequential-recommendation-representation-learning?newsletter. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community.
Monday, April 29, 2024, 1:00 PM – 2:00 PM.
Meeting room 4.4, Level 4,
School of Computing and Information Systems 1,
Singapore Management University,
80 Stamford Road,
Singapore 178902.
For more info visit computing.smu.edu.sg. Evidence Standards Improve Reliability in Scholarly Peer Review
Background. Scholarly peer review is “the lynchpin about which the whole business of science is pivoted” (Ziman 1968). Most researchers believe peer review is effective (Ware 2008), but empirical research consistently shows that reviewers cannot reliable distinguish methodologically sound from fundamentally flawed studies (Cole 1981; Peters & Ceci 1982; Lock 1991; Rothwell and Martyn 2000; Price 2014; Ralph 2016). Consequently, we created comprehensive evidence standards and tools to improve peer review in software engineering and related fields. Objective. The objective of this study is to investigate the impact of evidence standards on scholarly peer review. Method. A randomized controlled experiment was conducted at an A-ranked software engineering conference. The program committee was randomly divided into two groups: one using a typical conference review process; the other using a standardized process based on the ACM SIGSOFT Empirical Standards for Software Engineering Research (https://acmsigsoft.githu…
Subtitle: Research Seminar by Dr. D. Paul RALPH. Contact: scisseminar@smu.edu.sg. Speaker Details: , Dr. D. Paul RALPH
Professor of Software Engineering
Dalhousie University, Dr. D. Paul Ralph, PhD (British Columbia), B.Sc. / B.Comm (Memorial), is an award-winning scientist, author, consultant, and Professor of Software Engineering at Dalhousie University. His cutting-edge research at the intersection of software engineering, human-computer interaction, and project management explores the relationship between software teams’ social dynamics and success. It has been used by many leading technology… RSVP: . Reserve a seat: https://forms.office.com/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTfF1ZW5MsvBNggWdQSlfJrBUM0FSWktFOTRQUzBCUDhSSldHQVZKQ1RKTC4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public.
Tuesday, April 30, 2024, 11:00 AM – 12:20 PM.
School of Economics/School of Computing
& Information Systems 2 (SOE/SCIS 2),
Level 4, Seminar Room 4-1
Singapore Management University
90 Stamford Road, Singapore 178903.
For more info visit computing.smu.edu.sg. Enhancing Graph Representation Learning Through Self-Supervision: An Augmentation Perspective
Graph representation learning is pivotal for analyzing graph-structured data across diverse domains, yet traditional supervised methods are hindered by data scarcity and the extensive efforts required for labeling. Graph Self-supervised Learning (SSL) emerges as an effective alternative by leveraging inherent graph structures without explicit labels. It can be categorized into two main types: contrastive methods, which emphasize learning through differentiation, and generative methods, which focus on reconstruction. Together, these methods offer a comprehensive framework for enhancing SSL approaches in graph learning. However, each type also presents its own unique challenges and limitations.
To address these limitations, this dissertation proposal delves into Graph SSL from an augmentation perspective with two innovative aspects (1) adaptive augmentation sampling for contrastive learning, as demonstrated by our proposed Graph-centric Contrastive framework for Graph Matching (GCGM), utilizes a diverse pool…
Subtitle: PhD Dissertation Proposal by BO Jianyuan. Contact: scisseminars@smu.edu.sg. Speaker Details: , BO Jianyuan
PhD Candidate
School of Computing and Information Systems
Singapore Management University, Bo Jianyuan is a PhD candidate in Computer Science at the School of Computing and Information Systems at SMU, under the supervision of Assistant Professor Fang Yuan. His research primarily focuses on graph representation learning, unsupervised learning, and graph neural networks. RSVP: . Reserve a seat: https://forms.office.com/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9URE5FNDJYT0dEVTlQVFhUWlhKM1ROOEFZRSQlQCNjPTEu. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community.
Friday, May 3, 2024, 9:00 PM – 10:00 PM.
Meeting room 5.1, Level 5,
School of Computing and Information Systems 1,
Singapore Management University,
80 Stamford Road,
Singapore 178902.
For more info visit computing.smu.edu.sg. MITB Virtual Information Session (Vietnam)
Public Events
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Contact: mitb@smu.edu.sg. RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/mitbvnisf0524. Type: Information Sessions. Subject: Analytics for Business, Consumer & Social Insights. Information Technology & Systems. Innovation & Entrepreneurship. International. Leadership. Learning & Professional Development. Operations Management. Organisational Behaviour. Strategic Management. Audience: Public.
Tuesday, May 7, 2024, 8:00 PM – 9:00 PM.
Online
This information session will be conducted virtually via Zoom. Please register for the session by clicking on “Register Now.”
Please take note that this event will be held on 7:00pm – 8:00pm (Vietnam Time).
For more info visit scispg.smu.edu.sg. SMU MITB Ask Me Anything Information Session
Public Events
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Contact: mitb@smu.edu.sg. RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/mitbisscis0524. Type: Information Sessions. Subject: Analytics for Business, Consumer & Social Insights. Information Technology & Systems. Innovation & Entrepreneurship. International. Leadership. Learning & Professional Development. Operations Management. Organisational Behaviour. Strategic Management. Audience: Public.
Wednesday, May 8, 2024, 7:00 PM – 8:30 PM.
Online
This Ask Me Anything Information Session will be conducted virtually via Zoom. Please register for the session by clicking on the “Register Now” button that leads you to our event registration form.
For more info visit scispg.smu.edu.sg. SMU Doctor of Engineering (EngD) Virtual Information Session
Public Events
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RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/engdisf0509. Type: Information Sessions. Webinar & Online Learning. Subject: Business. Leadership. Operations Management. Organisational Behaviour. Strategic Management. Audience: Professionals. Prospective Student. Public.
Thursday, May 9, 2024, 7:00 PM – 8:00 PM.
Virtual via Zoom
Details will be provided via email upon registration.
MITB Coffee Session (Singapore)
Public Events
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Contact: mitb@smu.edu.sg. RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/mitbcsscis0524. Type: Information Sessions. Subject: Analytics for Business, Consumer & Social Insights. Information Technology & Systems. Innovation & Entrepreneurship. International. Leadership. Learning & Professional Development. Organisational Behaviour. Operations Management. Strategic Management. Audience: Public. Professionals. Prospective Student.
Wednesday, May 15, 2024, 7:00 PM – 8:00 PM.
In-Campus
SMU School of Computing and Information Systems
Limited seats available!
Complimentary Starbucks on us!
For more info visit scispg.smu.edu.sg. Biz 1.0, Data 2.0, Analytics 3.0 in Banking 4.0
Public Events
Speaker Details:
Mr. Chen Huaxing is a leader in the data analytics field with extensive experience in diverse industries including banking, trading, payment, gaming and consulting. He has a strong background in AI and operations research with notable contributions including a best research paper. Currently, he serves as Group Head of Data & Analytics at UOB's wholesale banking division and is an adjunct faculty member of the National University of Singapore (NUS) Business School. In previous roles, he established and o… RSVP: . Reserve a seat: https://smu-sg.zoom.us/meeting/register/tJ0qceiprD0jHtT03WIcw3zMtipuAVTDG1BQ#/registration. Type: Information Sessions. Subject: Analytics for Business, Consumer & Social Insights. Business. Information Technology & Systems. Innovation & Entrepreneurship. Finance & Financial Markets. International. Leadership. Learning & Professional Development. Organisational Behaviour. Operations Management. Audience: Public. Professionals.
Friday, May 17, 2024, 12:00 PM – 1:15 PM.
Online
This event will be conducted virtually via Zoom. Please register for the session by completing the event registration form. The Zoom meeting link and login details will be sent to all registrants via email after event registration.
For more info visit scispg.smu.edu.sg.