School of Computing and Information Systems

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Understanding, Detecting, Repairing Software Bugs with Context-Aware Explainable LLMs

Software vulnerabilities are widespread in modern systems, threatening reliability, safety, and maintainability across sectors from healthcare to transportation, and imposing substantial economic burdens and developer effort. Automated Program Repair (APR) aims to mitigate these risks by generating fixes automatically, reducing both time and human effort. Recent Large Language Models (LLMs) have shown promising performance in APR and, in some cases, surpass traditional techniques. However, practical deployment exposes several gaps. First, LLM performance on APR tasks is suboptimal in data-scarce settings. Second, benchmark accuracy alone does not demonstrate genuine bug understanding, and the models’ black box nature hampers human interpretability, undermining trust when stated explanations diverge from the actual fix strategies. Third, domain-specific semantics, such as Rust and C/C++ interoperability and C-to-Rust translation, are underrepresented in general benchmarks, and their specific characteristics re… Subtitle: PhD Dissertation Proposal by CAI Xuemeng. Contact: scisseminars@smu.edu.sg. Speaker Details: , CAI Xuemeng PhD Candidate School of Computing and Information Systems Singapore Management University, CAI Xuemeng is a third-year PhD candidate and a Research Engineer at the Centre for Research on Intelligent Software Engineering (RISE) at Singapore Management University (SMU). Her research interests focus on software engineering challenges such as automatic program repair, code translation, and the interpretability of Large Language Models. RSVP: . Reserve a seat: https://forms.office.com/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UN0pWQk1JVUNFR0I3NUFIRDhYNElGTDRMQi4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Thursday, November 27, 2025, 9:00 AM – 10:00 AM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

Recombinant Creativity: Idea Generation, Network Formation, and Innovation Outcomes

This dissertation examines recombinant creativity across cultural production and crowdsourced innovation platforms, focusing on how ideas are generated, collaboratively shaped, and strategically combined to drive innovation. Motivated by the growing importance of idea recombination in film and media industries, the first study investigates how new and existing ideas are recombined to form innovative creative products and how these recombinations affect innovation success. The second study then analyzes how new ideas emerge from the evolving structure and content of idea networks via, tracing how collaborative contributions from both ideators and the crowd shape the development, diversity, and connectivity of ideas on crowdsourcing innovation platforms . Finally, the third study examines how platform design, specifically, identity disclosure in voting systems, affects users’ voting decisions and ideators’ editing and interaction behaviors. Together, these studies provide a comprehensive understanding of recomb… Subtitle: PhD Dissertation Proposal by LIAW Shao Yi. Contact: scisseminars@smu.edu.sg. Speaker Details: LIAW Shao Yi PhD Candidate School of Computing and Information Systems Singapore Management University, Shao Yi LIAW is a Ph.D. candidate majoring in Information Systems and Management at the School of Computing and Information Systems, Singapore Management University, supervised by Associate Professor Qian TANG. Her research interests include product innovation and knowledge networks. Her work has appeared in The Workshop on E-Business amongst others. RSVP: . Reserve a seat: https://forms.office.com/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UOFRWN0pTTTRVUkpQUFJYRFY2VzBXWTA0My4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Friday, November 28, 2025, 2:00 PM – 3:00 PM. Meeting room 4.4, Level 4. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems

Existing GFlowNet-based methods for vehicle routing problems (VRPs) typically employ Trajectory Balance (TB) to achieve global optimization but often neglect important aspects of local optimization. While Detailed Balance (DB) addresses local optimization more effectively, it alone falls short in solving VRPs, which inherently require holistic trajectory optimization. To address these limitations, we introduce the Hybrid-Balance GFlowNet (HBG) framework, which uniquely integrates TB and DB in a principled and adaptive manner by aligning their intrinsically complementary strengths. Additionally, we propose a specialized inference strategy for depot-centric scenarios like the Capacitated Vehicle Routing Problem (CVRP), leveraging the depot node's greater flexibility in selecting successors. Despite this specialization, HBG maintains broad applicability, extending effectively to problems without explicit depots, such as the Traveling Salesman Problem (TSP). We evaluate HBG by integrating it into two established… Subtitle: Pre-Conference Talk by ZHANG Ni. Contact: scisseminar@smu.edu.sg. Speaker Details: , ZHANG Ni PhD Student School of Computing and Information Systems Singapore Management University, Zhang Ni is a PhD in Computer Science student at Singapore Management University, under the supervision of Assistant Professor Cao Zhiguang. Her research centers on combinatorial optimization with an emphasis on developing learning-driven algorithms for complex routing problems. Recently, she has been investigating generative flow networks (GFlowNets) to achieve more effective and generalizable solutions… RSVP: . Reserve a seat: https://forms.office.com/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTacjffrphqhDrJfv1DjxSmNUMDFWREFYRk0yNFRWVEdTUTUyTk5MUjYwRS4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Friday, November 28, 2025, 4:30 PM – 5:00 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.