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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 2024 2024

Multi-round efficient and secure truth discovery in mobile crowdsensing systems, Chenfei HU, Zihan LI, Yuhua XU, Chuan ZHANG, Ximeng LIU, Daojing HE, and Liehuang ZHU Journal Article

Oasis: Online all-phase quality-aware incentive mechanism for MCS, Man ZHANG, Xinghua LI, Yinbin MIAO, Bin LUO, Siqi MA, Kim-Kwang Raymond CHOO, and Robert H. DENG Journal Article

PIAS: Privacy-Preserving Incentive Announcement System based on Blockchain for Internet of Vehicles, Yonghua ZHAN, Yang YANG, Hongju CHENG, Xiangyang LUO, Zhuangshuang GUAN, and Robert H. DENG Journal Article

Predicting viral rumors and vulnerable users with graph-based neural multi-task learning for infodemic surveillance, Xuan ZHANG and Wei GAO Journal Article

Privacy-enhancing and robust backdoor defense for federated learning on heterogeneous data, Zekai CHEN, Shengxing YU, Mingyuan FAN, Ximeng LIU, and Robert H. DENG Journal Article

Privacy-preserved data disturbance and truthfulness verification for data trading, Man ZHANG, Xinghua LI, Yinbin MIAO, Bin LUO, Wanyun XU, Yanbing REN, and Robert H. DENG Journal Article

Privacy-preserving asynchronous federated learning under non-IID settings, Yinbin MIAO, Da KUANG, Xinghua LI, Shujiang XU, Hongwei LI, Kim-Kwang Raymond CHOO, and Robert H. DENG Journal Article

Privacy-preserving identification for monitoring images, Bowen ZHAO and Xiaoguo LI Book Chapter

PrivObfNet: A weakly supervised semantic segmentation model for data protection, Chiat Pin TAY, Vigneshwaran SUBBARAJU, and Thivya KANDAPPU Conference Proceeding Article

Provably secure decisions based on potentially malicious information, Dongxia WANG, Tim MULLER, and Jun SUN Journal Article

Quantifying the competitiveness of a dataset in relation to general preferences, Kyriakos MOURATIDIS, Keming LI, and Bo TANG Journal Article

Remote multi-person heart rate monitoring with smart speakers: Overcoming separation constraint, Ngoc Doan Thu TRAN, Dong MA, and Rajesh Krishna BALAN Journal Article

RFed: Robustness-Enhanced Privacy-Preserving Federated Learning against poisoning attack, Yinbin MIAO, Xinru YAN, Xinghua LI, Shujiang XU, Ximeng LIU, Hongwei LI, and Robert H. DENG Journal Article

SEGAC: Sample Efficient Generalized Actor Critic for the Stochastic On-Time Arrival Problem, Honglian GUO, Zhi HE, Wenda SHENG, Zhiguang CAO, Yingjie ZHOU, and Weinan GAO Journal Article

SOCI+: An enhanced toolkit for Secure Outsourced Computation on Integers, Bowen ZHAO, Weiquan DENG, Xiaoguo LI, Ximeng LIU, Qingqi PEI, and Robert H. DENG Journal Article

Societal impacts of artificial intelligence: Ethics, legal, and governance issues, Yuzhou QIAN, Keng SIAU, and Fiona Fui-hoon NAH Journal Article

Stealthy backdoor attack for code models, Zhou YANG, Bowen XU, Jie M. ZHANG, Hong Jin KANG, Jieke SHI, Junda HE, and David LO Journal Article

Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds, Quang Hai TRUONG, Dheryta JAISINGHANI, Shubham JAIN, Arunesh SINHA, Jeong Gil KO, and Rajesh Krishna BALAN Journal Article

Trade policy uncertainty and the patent bubble in China: evidence from machine learning, Xingnan XUE, Peng LIANG, Fujing XUE, Nan HU, and Ling LIU Journal Article

Understanding newcomers' onboarding process in deep learning projects, Junxiao HAN, Jiahao ZHANG, David LO, Xin XIA, Shuigang DENG, and Minghui WU Journal Article

VEM 2 L: An easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion, Tao HE, Ming LIU, Yixin CAO, Meng QU, Zihao ZHENG, and Bing QIN Journal Article

Wakening past concepts without past data: Class-incremental learning from online placebos, Yaoyao LIU, Yingying LI, Bernt SCHIELE, and Qianru SUN Conference Proceeding Article

Submissions from 2023 2023

DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition, Ming LI, Huazhu FU, Shengfeng HE, Hehe FAN, Jun LIU, Jussi KEPPO, and Mike Zheng SHOU Journal Article

P²FRPSI: Privacy-preserving feature retrieved private set intersection, Guowei LING, Fei TANG, Chaochao CAI, Jinyong SHAN, Haiyang XUE, Wulu LI, Peng TANG, Xinyi HUANG, and Weidong QIU Journal Article

An economic analysis of third-party software reliability improvement using the Bug Bounty Program, Tianlu ZHOU, Dan MA, and Nan FENG Conference Proceeding Article

Is pre-consultation conducted by the assistant physician effective in improving online healthcare service quality and satisfaction?, Anqi ZHAO and Qian TANG Conference Proceeding Article

ChatGPT's performance in spreadsheets modeling assessments based on revised Bloom's taxonomy, Michelle L. F. CHEONG Conference Proceeding Article

A big data approach to augmenting the Huff model with road network and mobility data for store footfall prediction, Ming Hui TAN, Kar Way TAN, and Hoong Chuin LAU Conference Proceeding Article

A black-box attack on code models via representation nearest Neighbor search, Jie ZHANG, Wei MA, Qiang HU, Shangqing Liu, Xiaofei XIE, Yves LE Traon, and Yang LIU Conference Proceeding Article

A closer look at the security risks in the Rust ecosystem, Xiaoye ZHENG, Zhiyuan WAN, Yun ZHANG, Rui CHANG, and David LO Journal Article

A comprehensive evaluation of large language models on legal judgment prediction, Ruihao SHUI, Yixin CAO, Xiang WANG, and Tat-Seng CHUA Conference Proceeding Article

A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges, Jian LIANG, Jintao KE, Hai WANG, Hongbo YE, and Jinjun TANG Journal Article

A reliable and secure mobile cyber-physical digital microfluidic biochip for intelligent healthcare, Yinan YAO, Decheng QIU, Huangda LIU, Zhongliao YANG, Ximeng LIU, Yang YANG, and Chen DONG Journal Article

Assessing the effectiveness of a chatbot workshop as experiential teaching and learning tool to engage undergraduate students, Kyong Jin SHIM, Thomas MENKHOFF, Ying Qian TEO, and Clement Shi Qi ONG Journal Article

Attack prompt generation for red teaming and defending large language models, Boyi DENG, Wenjie WANG, Fuli FENG, Yang DENG, Qifan WANG, and Xiangnan HE Conference Proceeding Article

Benchmarking foundation models with language-model-as-an-examiner, Yushi BAI, Jiahao YING, Yixin CAO, Xin LV, Yuze HE, Xiaozhi WANG, Jifan YU, Kaisheng ZENG, Yijia XIAO, Haozhe LYU, Jiayin ZHANG, Juanzi LI, and Lei HOU Conference Proceeding Article

Better pay attention whilst fuzzing, Shunkai ZHU, Jingyi WANG, Jun SUN, Jie YANG, Xingwei LIN, Liyi ZHANG, and Peng CHENG Journal Article

Beyond factuality: A comprehensive evaluation of large language models as knowledge generators, Liang CHEN, Yang DENG, Yatao BIAN, Zeyu QIN, Bingzhe WU, Tat-Seng CHUA, and Kam-Fai WONG Conference Proceeding Article

C³: Code clone-based identification of duplicated components, Yanming YANG, Ying ZOU, Xing HU, David LO, Chao NI, John C. GRUNDY, and Xin: XIA Conference Proceeding Article

Class participation: Using technology to enhance efficiency and fairness, Benjamin GAN and Eng Lieh OUH Conference Proceeding Article

ClusterPrompt: Cluster semantic enhanced prompt learning for new intent discovery, Jinggui LIANG and Lizi LIAO Conference Proceeding Article

CollaborEM: A self-supervised entity matching framework using multi-features collaboration, Congcong GE, Pengfei WANG, Lu CHEN, Xiaoze LIU, Baihua ZHENG, and Yunjun GAO Journal Article

Combat COVID-19 at national level using risk stratification with appropriate intervention, Xuan JIN and Kar Way TAN Conference Proceeding Article

Comparison and evaluation on Static Application Security Testing (SAST) tools for Java, Kaixuan LI, Sen CHEN, Lingling FAN, Ruitao FENG, Han LIU, Chengwei LIU, Yang LIU, and Yixiang CHEN Conference Proceeding Article

Controlling type confounding in ad hoc teamwork with instance-wise teammate feedback rectification, Dong XING, Pengjie GU, Qian ZHENG, Xinrun WANG, Shanqi LIU, Longtao ZHENG, Bo AN, and Gang PAN Conference Proceeding Article

CoVariance-based causal debiasing for entity and relation extraction, Lin REN, Yongbin LIU, Yixin CAO, and Chunping OUYANG Conference Proceeding Article

Cue-CoT: Chain-of-thought prompting for responding to in-depth dialogue questions with LLMs, Hongru WANG, Rui WANG, Fei MI, Yang DENG, Zezhong WANG, Bin LIANG, Ruifeng XU, and Kam-Fai WONG Conference Proceeding Article

Customer cybersecurity and supplier cost management strategy, Xu YANG, Peng LIANG, Nan HU, and Fujing XUE Conference Proceeding Article

DeepACO: neural-enhanced ant systems for combinatorial optimization, Haoran YE, Jiarui WANG, Zhiguang CAO, Helan LIANG, and Yong LI Conference Proceeding Article

DeepArc: Modularizing neural networks for the model maintenance, Xiaoning REN, Yun LIN, Yinxing XUE, Ruofan LIU, Jun SUN, Zhiyong FENG, and Jinsong DONG Conference Proceeding Article

Deep isolation forest for anomaly detection, Hongzuo XU, Guansong PANG, Yijie WANG, and Yongjun WANG Journal Article

DepWiGNN: A depth-wise graph neural network for multi-hop spatial reasoning in text, Shuaiyi LI, Yang DENG, and Wai LAM Conference Proceeding Article

Designing an overseas experiential course in data science, Hua Leong FWA and Graham NG Conference Proceeding Article

Designing large-scale intelligent collaborative platform for freight forwarders, Pang Jin TAN, Shih-Fen CHENG, and Richard CHEN Conference Proceeding Article

Development of an explainable artificial intelligence model for Asian vascular wound images, Zhiwen Joseph LO, Malcolm Han Wen MAK, Shanying LIANG, Yam Meng CHAN, Cheng Cheng GOH, Tina Peiting LAI, Audrey Hui Min TAN, Patrick THNG, Patrick THNG, Tillman WEYDE, and Sylvia SMIT Journal Article

Disentangling transformer language models as superposed topic models, Jia Peng LIM and Hady Wirawan LAUW Conference Proceeding Article

DistXplore: Distribution-guided testing for evaluating and enhancing deep learning systems, Longtian WANG, Xiaofei XIE, Xiaoning DU, Meng TIAN, Qing GUO, Zheng YANG, and Chao SHEN Conference Proceeding Article

Do CONTRIBUTING files provide information about OSS newcomers' onboarding barriers?, Felipe FRONCHETTI, David SHEPHERD, Igor WIESE, Christoph TREUDE, Marco GEROSA, and Igor STEINMACHER Conference Proceeding Article

Efficient meta neural heuristic for multi-objective combinatorial optimization, Jinbiao CHEN, Zizhen ZHANG, Te YE, Zhiguang CAO, Siyuan CHEN, and Jiahai WANG Conference Proceeding Article

End-to-end task-oriented dialogue: A survey of tasks, methods, and future directions, Libo QIN, Wenbo PAN, Qiguang CHEN, Lizi LIAO, Zhou YU, Yue ZHANG, Wanxiang CHE, and Min LI Conference Proceeding Article

Ensemble-based deep reinforcement learning for vehicle routing problems under distribution shift, Yuan JIANG, Zhiguang CAO, Yaoxin WU, Wen SONG, and Jie ZHANG Conference Proceeding Article

Estimating propensity for causality-based recommendation without exposure data, Zhongzhou LIU, Yuan FANG, and Min WU Conference Proceeding Article

Ethical considerations for artificial intelligence in educational assessments, LIM MING SOON TRISTAN, GOTTIPATI Swapna, and Michelle L. F. CHEONG Book Chapter

Evaluating transfer learning for simplifying GitHub READMEs, Haoyu GAO, Christoph TREUDE, and Mansooreh ZAHEDI Conference Proceeding Article

Examining the Inter-consistency of large language models: An in-depth analysis via debate, Kai XIONG, Xiao DING, Yixin CAO, Ting LIU, and Bing QIN Conference Proceeding Article

ExGen: Ready-to-use exercise generation in introductory programming courses, Nguyen Binh Duong TA, Hua Gia Phuc NGUYEN, and GOTTIPATI Swapna Conference Proceeding Article

ExploreLah: Personalised and smart trip planner for mobile tourism, Aldy GUNAWAN, Siu Loon HOE, Xun Yi LIM, Linh Chi TRAN, and Dang Viet Anh NGUYEN Conference Proceeding Article

Exploring students' adoption of ChatGPT as a mentor for undergraduate computing projects: PLS-SEM analysis, GOTTIPATI Swapna; Kyong Jin SHIM; and SHANKARARAMAN, Venky Conference Proceeding Article

Extending the horizon by empowering government customer service officers with ACQAR for enhanced citizen service delivery, Hui Shan LEE; SHANKARARAMAN, Venky; and Eng Lieh OUH Conference Proceeding Article

FlowPG: Action-constrained policy gradient with normalizing flows, BRAHMANAGE JANAKA CHATHURANGA THILAKARATHNA, Jiajing LING, and Akshat KUMAR Conference Proceeding Article

Generalized logit adjustment: Calibrating fine-tuned models by removing label bias in foundation models, Beier ZHU, Kaihua TANG, Qianru SUN, and Hanwang ZHANG Conference Proceeding Article

Generative modelling of stochastic actions with arbitrary constraints in reinforcement learning, Changyu CHEN, Ramesha KARUNASENA, Thanh Hong NGUYEN, Arunesh SINHA, and Pradeep VARAKANTHAM Conference Proceeding Article

Graph contrastive learning with stable and scalable spectral encoding, Deyu BO, Yuan FANG, Yang LIU, and Chuan SHI Conference Proceeding Article

How helpful do novice programmers find the feedback of an automated repair tool?, Oka KURNIAWAN, Christopher M. POSKITT, Ismam Al HOQUE, Norman Tiong Seng LEE, Cyrille JÉGOUREL, and Nachamma SOCKALINGAM Conference Proceeding Article

Interoperability in blockchain: A survey, Kunpeng REN, Nhut-Minh HO, Dumitrel LOGHIN, Thanh-Toan NGUYEN, Beng Chin OOI, Quang-Trung TA, and Feida ZHU Journal Article

Interpreting CodeBERT for semantic code clone detection, Shamsa ABID, Xuemeng CAI, and Lingxiao JIANG Conference Proceeding Article

Just adjust one prompt: Enhancing in-context dialogue scoring via constructing the optimal subgraph of demonstrations and prompts, Jiashu PU, Ling CHENG, Lu FAN, Tangjie LV, and Rongsheng ZHANG Conference Proceeding Article

KAPE: kNN-based performance testing for deep code search, Yuejun GUO, Qiang HU, Xiaofei XIE, Cordy MAXIME, Mike PAPADAKIS, and Yves LE TRAON Journal Article

Knowledge graph enhanced aspect-based sentiment analysis incorporating external knowledge, Autumn TEO, Zhaoxia WANG, Haibo PEN, Budhitama SUBAGDJA, Seng-Beng HO, and Boon Kiat QUEK Conference Proceeding Article

Large language model is not a good few-shot information extractor, but a good reranker for hard samples!, Yubo MA, Yixin CAO, YongChin HONG, and Aixin SUN Conference Paper

Large language models as source planner for personalized knowledge-grounded dialogues, Hongru WANG, Minda HU, Yang DENG, Rui WANG, Fei MI, Weichao WANG, Yasheng WANG, Wai-Chung KWAN, Irwin KING, and Kam-Fai WONG Conference Proceeding Article

Learning program semantics for vulnerability detection via vulnerability-specific inter-procedural slicing, Bozhi WU, Shangqing LIU, Xiao YANG, Zhiming LI, Jun SUN, and Shang-Wei LIN Conference Proceeding Article

Learning to search feasible and infeasible regions of routing problems with flexible neural k-opt, Yining MA, Zhiguang CAO, and Yew Meng CHEE Conference Proceeding Article

Lessons from the long tail: Analysing unsafe dependency updates across software ecosystems, Supatsara WATTANAKRIENGKRAI, Raula KULA, Christoph TREUDE, and Kenichi MATSUMOTO Conference Proceeding Article

LLM4Vis: Explainable visualization recommendation using ChatGPT, Lei WANG, Songheng ZHANG, Yun WANG, Ee-peng LIM, and Yong WANG Conference Proceeding Article

LLM-adapters: An adapter family for parameter-efficient fine-tuning of large language models, Zhiqiang HU, Lei WANG, Yihuai LAN, Wanyu XU, Ee-peng LIM, Lidong BING, Xing XU, Soujanya PORIA, and Roy Ka-Wei LEE Conference Proceeding Article

M2-CNN: A macro-micro model for taxi demand prediction, Shih-Fen CHENG and Prabod Manuranga RATHNAYAKA MUDIYANSELAGE Conference Proceeding Article

Make the U in UDA matter: Invariant consistency learning for unsupervised domain adaptation, Zhongqi YUE, Qianru SUN, and Hanwang ZHANG Conference Proceeding Article

Memory network-based interpreter of user preferences in content-aware recommender systems, Nhu Thuat TRAN and Hady W. LAUW Journal Article

MERMAID: A dataset and framework for multimodal meme semantic understanding, Shaun TOH, Adriel KUEK, Wen Haw CHONG, and Roy Ka Wei LEE Conference Proceeding Article

MetaBox: A benchmark platform for meta-black-box optimization with reinforcement learning, Zeyuan MA, Hongshu GUO, Jiacheng CHEN, Zhenrui LI, Guojun PENG, Yue-Jiao GONG, Yining MA, and Zhiguang CAO Conference Proceeding Article

Mitigating membership inference attacks via weighted smoothing, Minghan TAN, Xiaofei XIE, Jun SUN, and Tianhao WANG Conference Proceeding Article

MolCA: Molecular graph-language modeling with cross-modal projector and uni-modal adapter, Zhiyuan LIU, Sihang LI, Yanchen LUO, Hao FEI, Yixin CAO, Kenji KAWAGUCHI, Xiang WANG, and Tat-Seng CHUA Conference Proceeding Article

Monocular depth estimation for glass walls with context: A new dataset and method, Yuan LIANG, Bailin DENG, Wenxi LIU, Jing QIN, and Shengfeng HE Journal Article

MRIM: Lightweight saliency-based mixed-resolution imaging for low-power pervasive vision, Jiyan WU, Vithurson SUBASHARAN, Minh Anh Tuan TRAN, Kasun Pramuditha GAMLATH, and Archan MISRA Journal Article

Neural airport ground handling, Yaoxin WU, Jianan ZHOU, Yunwen XIA, Xianli ZHANG, Zhiguang CAO, and Jie ZHANG Journal Article

Neural multi-objective combinatorial optimization with diversity enhancement, Jinbiao CHEN, Zizhen ZHANG, Zhiguang CAO, Yaoxin WU, Yining MA, Te YE, and Jiahai WANG Conference Proceeding Article

Offline RL with discrete proxy representations for generalizability in POMDPs, Pengjie GU, Xinyu CAI, Dong XING, Xinrun WANG, Mengchen ZHAO, and Bo AN Conference Proceeding Article

On the usage of continual learning for out-of-distribution generalization in pre-trained language models of code, Martin WEYSSOW, Xin ZHOU, Kisub KIM, David LO, and Houari A. SAHRAOUI Conference Proceeding Article

Peer learning in an undergraduate linear Algebra course - A social network analysis, Manoj THULASIDAS, Kyong Jin SHIM, and Jonathan TEO Conference Proceeding Article