Research Collection School Of Computing and Information Systems Singapore Management University | School of Computing and Information Systems | Singapore Management University
 
The collection contains journal articles, conference proceedings articles, books and book chapters, and more written by the faculty at the Singapore Management University School of Computing and Information Systems (SCIS). The school was formerly known as School of Information Systems (SIS) and was renamed in 2021. The school research areas include Data science & engineering, Cybersecurity, Information systems & management, Intelligent systems & optimisation, Software & cyber-physical systems. SCIS is also focused on innovative research and education in Information Systems and Management, data management and analytics, as well as problems and issues at the intersection of information systems related technology and management, which includes urban systems and operations, active citizenry and communities, safety and security.

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Submissions from 2024

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An evaluation of heart rate monitoring with in-ear microphones under motion, Kayla-Jade BUTKOW, Ting DANG, Andrea FERLINI, Dong MA, Yang LIU, and Cecilia MASCOLO Journal Article

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AnomalyCLIP: Object-agnostic prompt learning for zero-shot anomaly detection, Qihang ZHOU, Guansong PANG, Yu TIAN, Shibo HE, and Jiming CHEN Conference Proceeding Article

A self-supervised dual-channel self-attention acoustic encoder for underwater acoustic target recognition, Xingmei WANG, Peiran WU, Boquan LI, Ge ZHAN, Jinghan LIU, and Zijian LIU Journal Article

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A survey on searchable symmetric encryption, Feng LI, Jianfeng MA, Yinbin MIAO, Ximeng LIU, Jianting NING, and Robert H. DENG Journal Article

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Attribute-hiding fuzzy encryption for privacy-preserving data evaluation, Zhenhua CHEN, Luqi HUANG, Guomin YANG, Willy SUSILO, Xingbing FU, and Xingxing JIA Journal Article

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Automatic grading of short answers using Large Language Models in software engineering courses, Nguyen Binh Duong TA and Yi Meng CHAI Conference Proceeding Article

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Baffle : Hiding backdoors in offline reinforcement learning datasets, Chen GONG, Zhou YANG, Yunpeng BAI, Junda HE, Jieke SHI, Kecen LI, Arunesh SINHA, Bowen XU, Xinwen HOU, David LO, and Tianhao WANG Conference Proceeding Article

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Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks, Minghong GENG, Shubham PATERIA, Budhitama SUBAGDJA, and Ah-Hwee TAN Conference Proceeding Article

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BreathPro: Monitoring breathing mode during running with earables, Changshuo HU, Thivya KANDAPPU, Yang LIU, Cecilia MASCOLO, and Dong MA Journal Article

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CMD: Co-analyzed IoT malware detection and forensics via network and hardware domains, Ziming ZHAO, Zhaoxuan LI, Jiongchi YU, Fan ZHANG, Xiaofei XIE, Haitao XU, and Binbin CHEN Journal Article

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Collaborative deep reinforcement learning for solving multi-objective vehicle routing problems, Yaoxin WU, Mingfeng FAN, Zhiguang CAO, Ruobin GAO, Yaqing HOU, and Guillaume SARTORETTI Conference Proceeding Article

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Compositional policy learning in stochastic control systems with formal guarantees, Dorde ZIKELIC, Mathias LECHNER, Abhinav Verma, Krishnendu CHATTERJEE, and Thomas A. HENZINGER Conference Proceeding Article

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Cornac-AB : An open-source recommendation framework with native A/B testing integration, Rong Sheng ONG, Quoc Tuan TRUONG, and Hady Wirawan LAUW Conference Proceeding Article

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Deep reinforcement learning guided improvement heuristic for job shop scheduling, Cong ZHANG, Zhiguang CAO, Wen SONG, Yaoxin WU, and Jie ZHANG Conference Proceeding Article

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Delving into important samples of semi-supervised old photo restoration: A new dataset and method, Werwei CAI, Huaidong ZHANG, Xuemiao XU, Chenshu XU, Kun ZHANG, and Shengfeng HE Journal Article

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Difference of convex functions programming for policy optimization in reinforcement learning, Akshat KUMAR Conference Proceeding Article

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Diffusion-based negative sampling on graphs for link prediction, Yuan FANG and Yuan FANG Conference Proceeding Article

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Discovering personalized characteristic communities in attributed graphs, Yudong NIU, Yuchen LI, Panagiotis KARRAS, Yanhao WANG, and Zhao LI Conference Proceeding Article

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DLVS4Audio2Sheet: Deep learning-based vocal separation for audio into music sheet conversion, Nicole TEO, Zhaoxia WANG, Ezekiel GHE, Yee Sen TAN, Kevan OKTAVIO, Alexander Vincent LEWI, Allyne ZHANG, and Seng-Beng HO Conference Proceeding Article

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Enabling roll-up and drill-down operations in news exploration with knowledge graphs for due diligence and risk management, Sha WANG, Yuchen LI, Hanhua XIAO, Zhifeng BAO, and Yanfei DONG Conference Proceeding Article

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Enhancing visual grounding in vision-language pre-training with position-guided text prompts, Alex Jinpeng WANG, Pan ZHOU, Mike Zheng SHOU, and Shuicheng YAN Journal Article

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Escaping saddle points in heterogeneous federated learning via distributed SGD with communication compression, Sijin CHEN, Zhize LI, and Yuejie CHI Conference Proceeding Article

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Evaluation of Orca 2 against other LLMs for Retrieval Augmented Generation, Donghao HUANG and Zhaoxia WANG Conference Proceeding Article

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Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models, Phyo Wai KHAING, Minghong GENG, Shubham PATERIA, Budhitama SUBAGDJA, and Ah-hwee TAN Conference Proceeding Article

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Exploring diffusion time-steps for unsupervised representation learning, Zhongqi YUE, Jiankun WANG, Qianru SUN, Lei JI, Eric I-Chao CHANG, and Hanwang ZHANG Conference Proceeding Article

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Factored MDP based moving target defense with dynamic threat modeling, Megha BOSE, Praveen PARUCHURI, and Akshat KUMAR Conference Proceeding Article

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Flipped classroom for linear algebra at undergraduate level, M. THULASIDAS Conference Proceeding Article

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From Tweets to token sales: Assessing ICO success through social media sentiments, Donghao HUANG, S. SAMUEL, Quoc Toan HUYNH, and Zhaoxia WANG Conference Proceeding Article

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Grasper: A generalist pursuer for pursuit-evasion problems, Pengdeng LI, Shuxin LI, Xinrun WANG, Jakub CERNY, Youzhi ZHANG, Stephen McAleer, Hau CHAN, and Bo AN Conference Proceeding Article

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HJG: An effective hierarchical joint graph for ANNS in multi-metric spaces, Yifan ZHU, Lu CHEN, Yunjun GAO, Ruiyao MA, Baihua ZHENG, and Jingwen ZHAO Conference Proceeding Article

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Intriguing properties of data attribution on diffusion models, Xiaosen ZHENG, Tianyu PANG, Chao DU, Jing JIANG, and Min LIN Conference Proceeding Article

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Knowledge enhanced multi-intent transformer network for recommendation, Ding ZOU, Wei WEI, Feida ZHU, Chuanyu XU, Tao ZHANG, and Chengfu HUO Conference Proceeding Article

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Large language model powered agents in the web, Yang DENG, An ZHANG, Yankai LIN, Xu CHEN, Ji-Rong WEN, and Tat-Seng CHUA Conference Proceeding Article

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Large language models for qualitative research in software engineering: exploring opportunities and challenges, Muneera BANO, Rashina HODA, Didar ZOWGHI, and Christoph TREUDE Journal Article

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Learning adversarial semantic embeddings for zero-shot recognition in open worlds, Tianqi LI, Guansong PANG, Xiao BAI, Jin ZHENG, Lei ZHOU, and Xin NING Journal Article

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Learning multi-faceted prototypical user interests, Nhu Thuat TRAN and Hady W. LAUW Conference Proceeding Article

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Learning nighttime semantic segmentation the hard way, Wenxi LIU, Jiaxin CAI, Qi LI, Chenyang LIAO, Jingjing CAO, Shengfeng HE, and Yuanlong YU Journal Article

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Make revocation cheaper: Hardware-based revocable attribute-based encryption, Xiaoguo LI, Guomin YANG, Tao XIANG, Shengmin XU, Bowen ZHAO, Robert H. DENG, and Hwee Hwa PANG Conference Proceeding Article

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MultiGPrompt for multi-task pre-training and prompting on graphs, Xingtong YU, Chang ZHOU, Yuan FANG, and Xinming ZHAN Conference Proceeding Article

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Multiple continuous top-K queries over data stream, Rui ZHU, Yujin JIA, Xiaochun YANG, Baihua ZHENG, Bin WANG, and Chuanyu ZONG Conference Proceeding Article

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Navigating real-world challenges: A quadruped robot guiding system for visually impaired people in diverse environments, Shaojun CAI, Ashwin RAM, Zhengtai GOU, Mohd Alqama Wasim SHAIKH, Yu-An CHEN, Yingjia WAN, Kotaro HARA, Shengdong ZHAO, and David HSU Conference Proceeding Article

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Non-vacuous generalization bounds for adversarial risk in stochastic neural networks, Mustafa WALEED, Liznerski PHILIPP, Antoine LEDENT, Wagner DENNIS, Wang PUYU, and Kloft MARIUS Conference Proceeding Article

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Online control of adaptive large neighborhood search using deep reinforcement learning, Reijnen REIJNEN, Yingqian ZHANG, Hoong Chuin LAU, and Zaharah BUKHSH Conference Proceeding Article

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On the feasibility of Simple Transformer for dynamic graph modeling, Yuxia WU, Yuan FANG, and Lizi LIAO Conference Proceeding Article

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Plug-and-play policy planner for large language model powered dialogue agents, Yang DENG, Wenxuan ZHANG, Wai LAM, See-Kiong NG, and Tat-Seng CHUA Conference Proceeding Article

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Q-Learning based framework for solving the stochastic E-waste collection problem, Dang Viet Anh NGUYEN, Aldy GUNAWAN, Mustafa MISIR, and Pieter VANSTEENWEGEN Conference Proceeding Article

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Quantum machine learning for credit scoring, Nikolaos SCHETAKIS, Davit AGHAMALYAN, Micheael BOGUSLAVSKY, Agnieszka REES, Marc RAKOTOMALALA, and Paul Robert GRIFFIN Journal Article

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Regret-based defense in adversarial reinforcement learning, Roman BELAIRE, Pradeep VARAKANTHAM, Thanh Hong NGUYEN, and David LO Conference Proceeding Article

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Reinforcement learning with maskable stock representation for portfolio management in customizable stock pools, Wentao ZHANG, Yilei ZHAO, Shuo SUN, Jie YING, Yonggang XIE, Zitao SONG, Xinrun WANG, and Bo AN Conference Proceeding Article

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Reinforcement Nash Equilibrium Solver, Xinrun WANG, Chang YANG, Shuxin LI, Pengdeng LI, Xiao HUANG, Hau CHAN, and Bo AN Conference Proceeding Article

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Reinforcement retrieval leveraging fine-grained feedback for fact checking news claims with Black-Box LLM, Xuan ZHANG and Wei GAO Conference Proceeding Article

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Robust auto-scaling with probabilistic workload forecasting for cloud databases, Haitian HANG, Xiu TANG, Jianling SUN, Lingfeng BAO, David LO, and Haoye WANG Conference Proceeding Article

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Scaling up Cooperative Multi-agent Reinforcement Learning Systems, Minghong GENG Conference Proceeding Article

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Social balance on networks: Local minima and best-edge dynamics, Krishnendu CHATTERJEE, Jakub SVOBODA, Dorde ZIKELIC, Andreas PAVLOGIANNIS, and Josef TKADLEC Journal Article

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SwapVid: Integrating video viewing and document exploration with direct manipulation, Taichi MURAKAMI, Kazuyuki FUJITA, Kotaro HARA, Kazuki TAKASHIMA, and Yoshifumi KITAMURA Conference Proceeding Article

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Term importance for transformer-based QA retrieval : A case study of StackExchange, Bryan Zhi Yang TAN and Hady W. LAUW Conference Proceeding Article

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Text-attributed graph representation learning : Methods, applications, and challenges, Ce ZHANG, Menglin YANG, Rex YING, and Hady Wirawan LAUW Conference Proceeding Article

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The Grader: A grading assistant for lab tests and a teaching tool, M. THULASIDAS and David LO Conference Proceeding Article

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The impact of avatar completeness on embodiment and the detectability of hand redirection in virtual reality, Martin FEICK, Andre ZENNER, Simon SEIBERT, Anthony TANG, and Antonio Krüger Conference Proceeding Article

Time-controllable keyword search scheme with efficient revocation in mobile e-health cloud, Yinbin MIAO; Feng LI; Xinghua LI; Zhiquan LIU; Jianting NING; Hongwei LI; Kim-Kwang Raymond CHOO; and DENG, Robert H. Journal Article

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Towards explainable harmful meme detection through multimodal debate between Large Language Models, Hongzhan LIN, Ziyang LUO, Wei GAO, Jing MA, Bo WANG, and Ruichao YANG Conference Proceeding Article

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uBlade: efficient batch processing for uncertainty graph queries, Siyuan YAO, Yuchen LI, Shixuan SUN, Jiaxin JIANG, and Bingsheng HE Conference Proceeding Article

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Unraveling the ‘anomaly’ in time series anomaly detection: A self-supervised tri-domain solution, Yuting SUN, Guansong PANG, Guanhua YE, Tong CHEN, Xia HU, and Hongzhi YIN Conference Proceeding Article

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Unveiling code pre-trained models: Investigating syntax and semantics capacities, Wei MA, Shangqing LIU, Mengjie ZHAO, Xiaofei XIE, Wenhang WANG, Qiang HU, Jie ZHANG, and Liu YANG Journal Article

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VAID: Indexing view designs in visual analytics system, Lu YING, Aoyu WU, Haotian LI, Zikun DENG, Ji LAN, Jiang WU, Yong WANG, Huamin QU, Dazhen DENG, and Yingcai WU Conference Proceeding Article

FAIR: Flow type-aware pre-training of compiler intermediate representations, Changan NIU, Chuanyi LI, Vincent NG, David LO, and Bin LUO Conference Proceeding Article

Towards benchmarking the coverage of automated testing tools in Android against manual testing, Ferdian THUNG, Ivana Clairine IRSAN, Jiakun LIU, and David LO Conference Proceeding Article

Learning temporal dynamics in videos with image transformer, Yan SHU, Z QIU, Fuchen LONG, Ting YAO, Chong-wah NGO, and Tao MEI Journal Article

FlGan: GAN-based unbiased federated learning under non-IID settings, Zhuoran MA, Yang LIU, Yinbin MIAO, Guowen XU, Ximeng LIU, Jianfeng MA, and Robert H. DENG Journal Article

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ACAV: A framework for automatic causality analysis in autonomous vehicle accident recordings, Huijia SUN, Christopher M. POSKITT, Yang SUN, Jun SUN, and Yuqi CHEN Conference Proceeding Article

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Adaptive content-aware influence maximization via online learning to rank, Konstantinos THEOCHARIDIS, Panagiotis Karras, Manolis Terrovitis, Spiros Skiadopoulos, and Hady Wirawan LAUW Journal Article

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Assessing AI detectors in identifying AI-generated code: Implications for education, Wei Hung PAN, Ming Jie CHOK, Jonathan Leong Shan WONG, Yung Xin SHIN, Yeong Shian POON, Zhou YANG, Chun Yong CHONG, David LO, and Mei Kuan LIM Conference Proceeding Article

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Beyond a joke: Dead Code Elimination can delete live code, Haoxin TU, Lingxiao JIANG, Debin GAO, and He JIANG Conference Proceeding Article

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Bidirectional paper-repository tracing in software engineering, Daniel GARIJO, Miguel ARROYO, Esteban GONZÁLEZ GUARDIA, Christoph TREUDE, and Nicola TAROCCO Conference Proceeding Article

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Classifying source code: How far can compressor-based classifiers go?, Zhou YANG Conference Proceeding Article

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Coca: Improving and explaining graph neural network-based vulnerability detection systems, Sicong CAO, Xiaobing SUN, Xiaoxue WU, David LO, Lili BO, Bin LI, and Wei LIU Conference Proceeding Article

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Code search is all you need? Improving code suggestions with code search, Junkai CHEN, Xing HU, Zhenhao LI, Cuiyun GAO, Xin XIA, and David LO Conference Proceeding Article

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Concretely mapped symbolic memory locations for memory error detection, Haoxin TU, Lingxiao JIANG, Jiaqi HONG, Xuhua DING, and He JIANG Journal Article

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Context-Aware REpresentation: Jointly learning item features and selection from triplets, Rodrigo ALVES and Antoine LEDENT Journal Article

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Continual normalization: Rethinking batch normalization for online continual learning, Quang PHAM, Chenghao LIU, and Steven HOI Conference Proceeding Article

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Creative and correct: Requesting diverse code solutions from AI, Scott BLYTH, Markus WAGNER, and Christoph TREUDE Conference Proceeding Article

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Curiosity-driven testing for sequential decision-making process, Junda HE, Zhou YANG, Jieke SHI, Chengran YANG, Kisub KIM, Bowen XU, Xin ZHOU, and David LO Conference Proceeding Article

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Deep reinforcement learning for dynamic algorithm selection: A proof-of-principle study on differential evolution, Hongshu GUO, Yining MA, Zeyuan MA, Jiacheng CHEN, Xinglin ZHANG, Zhiguang CAO, Jun ZHANG, and Yue-Jiao GONG Journal Article

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DronLomaly: Runtime log-based anomaly detector for DJI drones, Wei MINN, Naing Tun YAN, Lwin Khin SHAR, and Lingxiao JIANG Conference Proceeding Article

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Editorial: Emerging on-demand passenger and logistics systems: Modelling, optimization, and data analytics, Jintao KE, Hai WANG, Neda MASOUD, Maximilian SCHIFFER, and Goncalo H. A. CORREIA Editorial

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Encoding version history context for better code representation, Huy NGUYEN, Christoph TREUDE, and Patanamon THONGTANUNAM Conference Proceeding Article

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Enhancing source code representations for deep learning with static analysis, Xueting GUAN and Christoph TREUDE Conference Proceeding Article

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Environmental, social, and governance (ESG) and artificial intelligence in finance: State-of-the-art and research takeaways, Tristan LIM Journal Article

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Experience Report: Identifying common misconceptions and errors of novice programmers with ChatGPT, Hua Leong FWA Conference Proceeding Article

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Exploiting library vulnerability via migration-based automated test generation, Zirui CHEN, Xing HU, Xin XIA, Yi GAO, Tongtong XU, David LO, and Xiaohu YANG Conference Proceeding Article

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Exploring the potential of ChatGPT in automated code refinement: An empirical study, Qi GUO, Shangqing LIU, Junming CAO, Xiaohong LI, Xin PENG, Xiaofei XIE, and Bihuan CHEN Conference Proceeding Article

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Exploring the potential of ChatGPT in automated code refinement: An empirical study, Guo QI, Junming CAO, Xiaofei XIE, Shangqing LIU, Xiaohong LI, Bihuan CHEN, and Xin PENG Conference Proceeding Article

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Extracting relevant test inputs from bug reports for automatic test case generation, Wendkuuni C. Ouédraogo, Laura Plein, Kader Kaboré, Andrew Habib, Jacques Klein, David LO, and Tegawende F. Bissyandé Conference Proceeding Article

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FlGan: GAN-based unbiased federated learning under non-IID settings, Zhuoran MA, Yang LIU, Yinbin MIAO, Guowen XU, Ximeng LIU, Jianfeng MA, and Robert H. DENG Journal Article

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GitHubInclusifier: Finding and fixing non-inclusive language in GitHub repositories, Liam TODD, John GRUNDY, and Christoph TREUDE Conference Proceeding Article

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Going viral: Case studies on the impact of protestware, Youmei FAN, Dong WANG, Supastsara WATTANAKRIENGKRAI, Hathaichanok DAMRONGSIRI, Christoph TREUDE, Hideaki HATA, and Raula Gaikovina KULA Conference Proceeding Article

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Greening large language models of code, Jieke SHI, Zhou YANG, Hong Jin KANG, Bowen XU, Junda HE, and David LO Conference Proceeding Article

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Impact of government outsourcing contracts on high-tech vendors: An empirical study, Yi DONG, Nan HU, Yonghua JI, Chenkai NI, and Jing XIE Journal Article

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Improving automated code reviews: Learning from experience, Hong Yi LIN, Patanamon THONGTANUNAM, Christoph TREUDE, and Wachiraphan CHAROENWET Conference Proceeding Article

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Large language model for vulnerability detection: Emerging results and future directions, Xin ZHOU, Ting ZHANG, and David LO Conference Proceeding Article