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Research Collection School of Computing and Information Systems

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.

Submissions from 2025 2025

ADA-Gen: Iterative and incremental generation of full-stack apps for learning Agile/DevOps software development practices, Nguyen Binh Duong TA Conference Proceeding Article

A functional software reference architecture for LLM-integrated systems, Alessio BUCAIONI, Martin WEYSSOW, Junda HE, Yunbo LYU, and David LO Conference Proceeding Article

AgentStudio: A toolkit for building general virtual agents, Longtao ZHENG, Zhiyuan HUANG, Zhenghai XUE, Xinrun WANG, Bo AN, and Shuicheng YAN Conference Proceeding Article

AlphaEdit: Null-space constrained knowledge editing for language models, Junfeng FANG, Houcheng JIANG, Kun WANG, Yunshan MA, Jie SHI, Xiang WANG, Xiangnan HE, and Tat‑Seng CHUA Conference Proceeding Article

A selective vehicle routing problem for the Bloodmobile system, Aldy GUNAWAN, Samuel Alan DARMASAPUTRA, Sy Hoang DO, and Vincent F. YU Conference Proceeding Article

Bootstrapping language models with DPO implicit rewards, Changyu CHEN, Zichen LIU, Chao DU, Tianyu PANG, Qian LIU, Arunesh SINHA, Pradeep VARAKANTHAM, and Min LIN Conference Proceeding Article

Can LLMs replace manual annotation of software engineering artifacts?, Toufique AHMED, Premkumar DEVANBU, Christoph TREUDE, and Michael PRADEL Conference Proceeding Article

CaPo: Cooperative plan optimization for efficient embodied multi-agent cooperation, Jie LIU, Pan ZHOU, Yingjun DU, Ah-Hwee TAN, Cees SNOEK, Jan-Jakob SONKE, and Efstratios GAVVES Conference Proceeding Article

Characterising reproducibility debt in scientific software: A systematic literature review, Zara HASSAN, Christoph TREUDE, Michael NORRISH, Graham WILLIAMS, and Alex POTANIN Journal Article

ChatCRS: Incorporating external knowledge and goal guidance for LLM-based conversational recommender systems, Chuang LI, Yang DENG, Hengchang HU, Min-Yen KAN, and Haizhou LI Conference Proceeding Article

ComaDICE: Offline cooperative multi-agent reinforcement learning with stationary distribution shift regularization, The Viet BUI, Tien MAI, and Hong Thanh NGUYEN Conference Proceeding Article

ConfigX: Modular configuration for evolutionary algorithms via multitask reinforcement learning, Hongshu GUO, Zeyuan MA, Jiacheng CHEN, Yining MA, Zhiguang CAO, Xinglin ZHANG, and Yue-Jiao GONG Conference Proceeding Article

Deep reinforcement learning based scheduling strategy in blockchain payment channel networks, Zhen REN; Zihao WANG; Xinghua LI; Yinbin MIAO; Zhuowen LI; Ximeng LIU; Lei HAN; and DENG, Robert H. Journal Article

Democratic training against universal adversarial perturbations, Bing SUN, Jun SUN, and Wei ZHAO Conference Proceeding Article

Digital transformation and the future of work: Closing the digital skills gap, Siu Loon HOE Journal Article

Distributional black-box model inversion attack with multi-agent reinforcement learning, Huan BAO, Kaimin WEI, Yongdong WU, Jin QIAN, and Robert H. DENG Journal Article

DkvSSO: Delegatable keyed-verification credentials for efficient anonymous single sign-on, Wenyi XUE, Yang YANG, Minming HUANG, Yingjiu LI, Hwee Hwa PANG, and Robert H. DENG Journal Article

Does ChatGPT-permitted assessments help students generate better answers and learn more?, Michelle L. F. CHEONG and Yun-Chen CHEN Conference Proceeding Article

DPS: Design pattern summarisation using code features, Najam NAZAR, Sameer SIKKA, and Christoph TREUDE Journal Article

Dual operation aggregation graph neural networks for solving flexible job-shop scheduling problem with reinforcement learning, Peng ZHAO, You ZHOU, Di WANG, Zhiguang CAO, Yubin XIAO, Xuan WU, Yuanshu LI, Hongjia LIU, Wei DU, Yuan JIANG, and Liupu WANG Conference Proceeding Article

Enhancing LLM-based coding tools through native integration of IDE-derived static context, Yichen LI, Yun PENG, Yintong HUO, and R. Michael LYU Conference Proceeding Article

Enmob: Unveil the behavior with multi-flow analysis of encrypted app traffic, Mengmeng GE, Ruitao FENG, Likun LIU, Xiangzhan YU, Sachidananda VINAY, Xiaofei XIE, and Yang LIU Journal Article

Frame-voyager: Learning to query frames for video large language models, Sicheng YU, Chengkai JIN, Huanyu WANG, Zhenghao CHEN, Sheng JIN, Zhongrong ZUO, Xiaolei XU, Zhenbang SUN, Bingni ZHANG, Jiawei WU, Hao ZHANG, and Qianru SUN Conference Proceeding Article

Graph-assisted offline-online deep reinforcement learning for dynamic workflow scheduling, Yifan YANG, Gang CHEN, Hui MA, Cong ZHANG, Zhiguang CAO, and Mengjie ZHANG Conference Proceeding Article

How developers interact with AI: A taxonomy of human-AI collaboration in software engineering, Christoph TREUDE and Marco A. GEROSA Conference Proceeding Article

IvyAPC: Auditable generalized payment channels, Ming LI, Yuxian LI, Jian WENG, Yingjiu LI, Jiasi WENG, Junzuo LAI, and Robert H. DENG Conference Proceeding Article

LLM-enhanced multiple instance learning for joint rumor and stance detection with social context information, Ruichao YANG, Jing MA, Wei GAO, and Hongzhan LIN Journal Article

Minimum multi-service fleet size problem: Shareability graph and network flow approach, Dingtong YANG, Yubin LIU, Hai WANG, Jinhua ZHAO, and Hamsa BALAKRISHNAN Conference Proceeding Article

Nash bargaining strategy in autonomous decision making for multi-ship collision avoidance based on route exchange, Yang WANG, Qiangsheng YE, Hoong Chuin LAU, Tengfei WANG, and Bing WU Journal Article

Neural multi-objective combinatorial optimization via graph-image multimodal fusion, Jinbiao CHEN, Jiahai WANG, Zhiguang CAO, and Yaoxin WU Conference Proceeding Article

Node-time conditional prompt learning in dynamic graphs, Xingtong YU, Zhenghao LIU, Xinming ZHANG, and Yuan FANG Conference Proceeding Article

One-for-All: Towards universal domain translation with a single StyleGAN, Yong DU, Jiahui ZHAN, Xinzhe LI, Junyu DONG, Sheng CHEN, Ming-Hsuan YANG, and Shengfeng HE Journal Article

On generalization across environments in multi-objective reinforcement learning, Jayden Jing Xiang TEOH, Pradeep VARAKANTHAM, and Peter VAMPLEW Conference Proceeding Article

On minimizing adversarial counterfactual error in adversarial reinforcement learning, Roman BELAIRE, Arunesh SINHA, and Pradeep VARAKANTHAM Conference Proceeding Article

On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach, Ruichu CAI, Yuxuan ZHU, Xuexin CHEN, Yuan FANG, Min WU, Jie QIAO, and Zhifeng HAO Journal Article

On unraveling student resilience and academic performance in higher education, Aldy GUNAWAN, Ee-peng LIM, Audrey Tedja WIDJAJA, William TOV, James FOO, and Lieven Lode E. DEMEESTER Conference Proceeding Article

Open-set graph anomaly detection via normal structure regularisation, Qizhou WANG, Guansong PANG, Mahsa SALEHI, Xiaokun XIA, and Christopher LECKIE Conference Proceeding Article

PEARL: Towards permutation-resilient LLMs, Liang CHEN, Li SHEN, Yang DENG, Xiaoyan ZHAO, Bin LIANG, and Kam-Fai WONG Conference Proceeding Article

Predictive modelling for vessel traffic flow: A comprehensive survey from statistics to AI, Deshan. CHEN, Chen. HUANG, Tengze. FAN, Hoong Chuin LAU, and Xinping. YAN Journal Article

Rethinking light decoder-based solvers for vehicle routing problems, Ziwei HUANG, Jianan ZHOU, Zhiguang CAO, and Yixin XU Conference Proceeding Article

Rethinking neural multi-objective combinatorial optimization via neat weight embedding, Jinbiao CHEN, Zhiguang CAO, Jiahai WANG, Yaoxin WU, Hanzhang QIN, Zizhen ZHANG, and Yue-Jiao GONG Conference Proceeding Article

SAMGPT: Text-free graph foundation model for multi-domain pre-training and cross-domain adaptation, Xingtong YU, Zechuan GONG, Chang ZHOU, Yuan FANG, and Hui ZHANG Conference Proceeding Article

Semantic loss-guided data-efficient supervised fine-tuning for safe responses in LLMs, Yuxiao LU, Pradeep VARAKANTHAM, and Pradeep VARAKANTHAM Conference Proceeding Article

SITA: Structurally imperceptible and transferable adversarial attacks for stylized image generation, Jingdan KANG, Haoxin YANG, Yan CAI, Huaidong ZHANG, Xuemiao XU, Yong DU, and Shengfeng HE Journal Article

Towards understanding why FixMatch generalizes better than supervised learning, Jingyang LI, Jiachun PAN, Vincent TAN, Kim-chuan TOH, and Pan ZHOU Conference Proceeding Article

Use of search tools in software development: A study of microservice-based team projects, Yi Meng LAU, Christian Michael KOH, and Lingxiao JIANG Conference Proceeding Article

Verification of bit-flip attacks against quantized neural networks, Yedi ZHANG, Lei HUANG, Pengfei GAO, Fu SONG, Jun SUN, and Jin Song DONG Journal Article

Verifying timed properties of programs in IoT nodes using parametric time petri nets, Étienne André, Jean-Luc Béchennec, Sudipta Chattopadhyay, Sebastien Faucou, Didier Lime, Dylan Marinho, Olivier H. Roux, and Jun SUN Conference Proceeding Article

Early detection of malicious crypto addresses with asset path tracing and selection, Ling CHENG, Feida ZHU, Qian SHAO, Jiashu PU, and Fengzhu ZENG Journal Article

Zkfhed: A verifiable and scalable blockchain-enhanced federated learning system, Bingxue ZHANG, Guangguang LU, Yuncheng WU, Kunpeng REN, and Feida ZHU Journal Article

DeepVMUnProtect: Neural network-based recovery of VM‑protected Android apps for semantics‑aware malware detection, Xin ZHAO, Mu ZHANG, Xiaopeng KE, Yu PAN, Yue DUAN, Sheng ZHONG, and Fengyuan XU Journal Article

A contrastive framework with user, item and review alignment for recommendation, Viet Hoang DONG, Yuan FANG, and Hady Wirawan LAUW Conference Proceeding Article

Adapting knowledge prompt tuning for enhanced automated program repair, Xuemeng CAI and Lingxiao JIANG Conference Proceeding Article

Adaptive deviation learning for visual anomaly detection with data contamination, Aanindya Sundar DAS, Guansong PANG, and Monowar BHUYAN Conference Proceeding Article

Adversarial attacks on event-based pedestrian detectors: A physical approach, Guixu LIN, Muyao NIU, Qingtian ZHU, Zhengwei YIN, Zhuoxiao LI, Shengfeng HE, and Yinqiang ZHENG Conference Proceeding Article

Aligning large language models for faithful integrity against opposing argument, Yong ZHAO, Yang DENG, See-Kiong NG, and Tat-Seng CHUA Conference Proceeding Article

An aspect performance-aware hypergraph neural network for review-based recommendation, Junrui LIU, Tong LI, Di WU, Zifang TANG, Yuan FANG, and Zhen YANG Conference Proceeding Article

AttacKG+: Boosting attack graph construction with large language models, Yongheng ZHANG, Tingwen DU, Yunshan MA, Xiang WANG, Yi XIE, Guozheng YANG, Yuliang LU, and Ee‑Chien CHANG Journal Article

Birdie: Natural language-driven table discovery using differentiable search index, Yuxiang GUO, Zhonghao HU, Yuren MAO, Baihua ZHENG, Yunjun GAO, and Mingwei ZHOU Journal Article

CacheAlarm: Monitoring sensitive behaviors of Android apps using cache side channel, Jianwen TIAN, Haoyu MA, Debin GAO, and Xiaohui KUANG Journal Article

DCASR: Distributed collaborative authentication with specified security strength and resource optimization selection in AAV networks, Xinyi ZHAO, Yunwei WANG, Xinghua LI, Yinbin MIAO, and Robert H. DENG Journal Article

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T salient object detection, Hao TANG, Zechao LI, Dong ZHANG, Shengfeng HE, and Jinhui TANG Journal Article

Drone delivery network design with uncertainties, Wenjia ZENG, JIANG Ruiwei, Hai YANG, and Hai WANG Conference Proceeding Article

Dr. Tongue: Sign-oriented multi-label detection for remote tongue diagnosis, Yiliang CHEN, Steven S. C. HO, Cheng XU, Yao Jie XIE, Wing Fai YEUNG, Shengfeng HE, and Jing QIN Conference Proceeding Article

DualOpt: A dual divide-and-optimize algorithm for the large-scale traveling salesman problem, Shipei ZHOU, Yuandong DING, Chi ZHANG, Zhiguang CAO, and Yan JIN Conference Proceeding Article

Efficient and secure geometric range search over encrypted spatial data in mobile cloud, Yinbin MIAO, Guijuan WANG, Xinghua LI, Hongwei LI, Kim-Kwang Raymond CHOO, and Robert H. DENG Journal Article

Enhanced model poisoning attack and multi-strategy defense in federated learning, Li YANG; Yinbin MIAO; Ziteng LIU; Zhiquan LIU; Xinghua LI; Da KUANG; Hongwei LI; and DENG, Robert H. Journal Article

Enhanced sample selection with confidence tracking: Identifying correctly labeled yet hard-to-learn samples in noisy data, Weiran PAN, Wei WEI, Feida ZHU, and Yong DENG Conference Proceeding Article

Enhancing item‑level bundle representation for bundle recommendation, Xiaoyu DU, Kun QIAN, Yunshan MA, and Xinguang XIANG Journal Article

Evaluating software development agents: Patch patterns, code quality, and issue complexity in real-world GitHub scenarios, Zhi CHEN and Lingxiao JIANG Conference Proceeding Article

Explainable neural networks with guarantees: A sparse estimation approach, Antoine LEDENT and Peng LIU Conference Proceeding Article

Forward-secure hierarchical delegable signature for smart homes, Jianfei SUN, Guowen XU, Yang YANG, Xuehuan YANG, Xiaoguo LI, Cong WU, Zhen LIU, Guomin YANG, and Robert H. DENG Journal Article

Fully selective opening secure IBE from LWE, Dingding JIA, Haiyang XUE, and Bao LI Journal Article

Generalization analysis for deep contrastive representation learning, Minh Hieu NONG, Antoine LEDENT, Yunwen LEI, and Cheng Yeaw KU Conference Proceeding Article

Graph foundation models: Concepts, opportunities and challenges, Jiawei LIU, Cheng YANG, Zhiyuan LU, Junze CHEN, Yibo LI, Mengmei ZHANG, Ting BAI, FANG Yuan, Lichao SUN, Philip S. YU, and Chuan SHI Journal Article

Hand1000: Generating realistic hands from text with only 1,000 images, Haozhuo ZHANG, Bin ZHU, Yu CAO, and Yanbin HAO Conference Proceeding Article

How to securely delegate and revoke partial authorization credentials, Meng SUN, Junzuo LAI, Wei WU, Ye YANG, Cheng-Kang CHU, and Robert H. DENG Journal Article

ImageInThat: Manipulating images to convey user instructions to robots, Karthik MAHADEVAN, Blaine LEWIS, Jiannan LI, Bilge MUTLU, Anthony TANG, and Tovi GROSSMAN Conference Proceeding Article

Improving multimodal human pose estimation by adversarial modality enhancement, Jiangnan XIA, Qilong WU, Yanyin GUO, Yi LI, Jianghan CHENG, Junwei LI, and Zhiyuan ZHANG Conference Proceeding Article

Learning to identify seen, unseen and unknown in the open world: A practical setting for zero-shot learning, Sethupathy PARAMESWARAN, Yuan FANG, Chandan GAUTAM, Savitha RAMASAMY, and Xiaoli LI Conference Proceeding Article

Leveraging constraint violation signals for action constrained reinforcement learning, Janaka Chathuranga BRAHMANAGE, Jiajing LING, and Akshat KUMAR Conference Proceeding Article

LightPROF: A lightweight reasoning framework for large language model on knowledge graph, Tu AO, Yanhua YU, Yuling WANG, Yang DENG, Zirui GUO, Liang PANG, Pinghui WANG, Tat-Seng CHUA, Xiao ZHANG, and Zhen CAI Conference Proceeding Article

Marginal benefit driven RL teacher for unsupervised environment design, Dexun LI, Wenjun LI, and Pradeep VARAKANTHAM Conference Proceeding Article

MultiSFL: Towards accurate split federated learning via multi-model aggregation and knowledge replay, Zeke XIA, Ming HU, DengKe YAN, Ruixuan LIU, Anran LI, Xiaofei XIE, and Mingsong CHEN Conference Proceeding Article

Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing, Mingfeng FAN, Huan LIU, Guohua WU, Aldy GUNAWAN, and Guillaume SARTORETTI Journal Article

NeuroViG: Integrating event cameras for resource-efficient video grounding, Dulanga WEERAKOON, Vigneshwaran SUBBARAJU, Joo Hwee LIM, and Archan MISRA Conference Proceeding Article

Occlusion-insensitive talking head video generation via facelet compensation, Yuhui DENG, Yuqin LU, Yangyang XU, Yongwei NIE, and Shengfeng HE Conference Proceeding Article

Offline safe reinforcement learning using trajectory classification, Ze GONG, Akshat KUMAR, and Pradeep VARAKANTHAM Conference Proceeding Article

PersonaMagic: Stage-regulated high-fidelity face customization with tandem equilibrium, Xinzhe LI, Jiahui ZHAN, Shengfeng HE, Yangyang XU, Junyu DONG, Huaidong ZHANG, and Yong DU Conference Proceeding Article

Private reachability queries on structured encrypted temporal bipartite graphs, Yulin WU, Lanxiang CHEN, Gaolin CHEN, Yi MU, and Robert H. DENG Journal Article

RAGG: Retrieval-augmented grasp generation model, Zhenhua TANG, Bin ZHU, Yanbin HAO, Chong-wah NGO, and Richang HONG Conference Proceeding Article

Respear: Earable-based robust respiratory rate monitoring, Yang LIU, Kayla-Jade BUTKOW, Jake STUCHBURY-WASS, Adam PULLIN, Dong MA, and Cecilia MASOLO Conference Proceeding Article

Retrieval augmented recipe generation, Guoshan LIU, Hailong YIN, Bin ZHU, Jingjing CHEN, Chong-wah NGO, and Yu-Gang JIANG Conference Proceeding Article

Revisiting sentiment analysis for software engineering in the era of large language models, Ting ZHANG, Ivana Clairine IRSAN, Thung Ferdian, and David LO Journal Article

Selecting comparative sets of reviews across multiple items, Trung Hoang LE and Hady Wirawan LAUW Conference Proceeding Article

Simulation-free hierarchical latent policy planning for proactive dialogues, Tao HE, Lizi LIAO, Yixin CAO, Yuanxing LIU, Yiheng SUN, Zerui CHEN, Ming LIU, and Bing QIN Conference Proceeding Article

Understanding individual agent importance in multi-agent system via counterfactual reasoning, Jianming CHEN, Yawen WANG, Junjie WANG, Xiaofei XIE, Jun HU, Qing WANG, and Fanjiang XU Conference Proceeding Article

Understanding the OSS communities of deep learning frameworks: A comparative case study of PyTorch and TensorFlow, Yunqi CHEN, Zhiyuan WAN, Yifei ZHUANG, Ning LIU, David LO, and Xiaohu YANG Journal Article

Unlocking the potential of black-box pre-trained GNNs for graph few-shot learning, Qiannan ZHANG, Shichao PEI, Yuan FANG, and Xiangliang ZHANG Conference Proceeding Article

VARIUM: Variational Autoencoder for multi-interest Representation with Inter-User Memory, Nhu Thuat TRAN and Hady W. LAUW Conference Proceeding Article