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.

Follow

Submissions from 2024

PDF

Reverse multi-choice dialogue commonsense inference with graph-of-thought, Li ZHENG, Hao FEI, Fei LI, Bobo Li, Lizi LIAO, Donghong JI, and Chong TENG Conference Proceeding Article

PDF

Simple image-level classification improves open-vocabulary object detection, Ruohuan FANG, Guansong PANG, and Xiao BAI Conference Proceeding Article

PDF

VibMilk: Non-intrusive milk spoilage detection via smartphone vibration, Yuezhong WU, Wei SONG, Yanxiang WANG, Dong MA, Weitao XU, Mahbub HASSAN, and Wen HU Journal Article

PDF

When evolutionary computation meets privacy, Bowen ZHAO, Wei-Neng CHEN, Xiaoguo LI, Ximeng LIU, Qingqi PEI, and Jun ZHANG Journal Article

PDF

Active code learning: Benchmarking sample-efficient training of code models, Qiang HU, Yuejun GUO, Xiaofei XIE, Maxime CORDY, Lei MA, Mike PAPADAKIS, and Yves Le TRAON Journal Article

PDF

Active discovering new slots for task-oriented conversation, Yuxia WU, Tianhao DAI, Zhedong ZHENG, and Lizi LIAO Journal Article

PDF

Affinity uncertainty-based hard negative mining in graph contrastive learning, Chaoxi NIU, Guansong PANG, and Ling CHEN Journal Article

A privacy-preserving and redactable healthcare blockchain system, Shengmin XU, Jianting NING, Xiaoguo LI, Jiaming YUAN, Xinyi HUANG, and Robert H. DENG Journal Article

Beyond result verification: Efficient privacy-preserving spatial keyword query with suppressed leakage, Qiuyun TONG, Xinghua LI, Yinbin MIAO, Yunwei WANG, Ximeng LIU, and Robert H. DENG Journal Article

PDF

Big Code Search: A Bibliography, Kisub KIM, Sankalp GHATPANDE, Dongsun KIM, Xin ZHOU, Kui LIU, Tegawende F. BISSYANDE, Jacques KLEIN, and Traon Yves LE Journal Article

Blockchain-based dynamic time-encapsulated data auditing for outsourcing storage, Chuan ZHANG, Haojun XUAN, Tong WU, Ximeng LIU, Guomin YANG, and Liehuang ZHU Journal Article

PDF

ClearSpeech: Improving voice quality of earbuds using both in-ear and out-ear microphones, Dong MA, Ting DANG, Ming DING, and Rajesh Krishna BALAN Journal Article

PDF

ConceptThread: Visualizing threaded concepts in MOOC videos, Zhiguang ZHOU, Li YE, Lihong CAI, Lei WANG, Yigang WANG, Yongheng WANG, Wei CHEN, and Yong WANG Journal Article

PDF

Continual learning, fast and slow, Quang Anh PHAM, Chenghao LIU, and Steven C. H. HOI Journal Article

PDF

Conversational localization: Indoor human localization through intelligent conversation, SHESHADRI SMITHA and Kotaro HARA Journal Article

PDF

Cooperative trucks and drones for rural last-mile delivery with steep roads, Jiuhong XIAO, Ying LI, Zhiguang CAO, and Jianhua XIAO Journal Article

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

Delving into multi-illumination monocular depth estimation: A new dataset and method, Yuan LIANG, Zitian ZHANG, Chuhua XIAN, and Shengfeng HE Journal Article

PDF

DL-DRL: A double-level deep reinforcement learning approach for large-scale task scheduling of multi-UAV, Xiao MAO, Guohua WU, Mingfeng FAN, Zhiguang CAO, and Witold PEDRYCZ Journal Article

PDF

Dynamic meta-path guided temporal heterogeneous graph neural networks, Yugang JI, Chuan SHI, and Yuan FANG Journal Article

Economic policy uncertainty and corporate social responsibility disclosure similarity: Evidence from China, Xingnan XUE, Liwen WANG, and Nan HU Journal Article

Efficient and secure federated learning against backdoor attacks, Yinbin MIAO, Rongpeng XIE, Xinghua LI, Zhiquan LIU, Kim-Kwang Raymond CHOO, and Robert H. DENG Journal Article

PDF

Efficient privacy-preserving spatial data query in cloud computing, Yinbin MIAO, Yutao YANG, Xinghua LI, Linfeng WEI, Zhiquan LIU, and Robert H. DENG Journal Article

PDF

Efficient unsupervised video hashing with contextual modeling and structural controlling, Jingru DUAN, Yanbin HAO, Bin ZHU, Lechao CHENG, Pengyuan ZHOU, and Xiang WANG Journal Article

Federated learning for software engineering: A case study of code clone detection and defect prediction, Yanming YANG, Xing HU, Zhipeng GAO, Jinfu CHEN, Chao NI, Xin XIA, and David LO Journal Article

PDF

Glance to count: Learning to rank with anchors for weakly-supervised crowd counting, Zheng XIONG, Liangyu CHAI, Wenxi LIU, Yongtuo LIU, Sucheng REN, and Shengfeng HE Conference Proceeding Article

Identity-aware variational autoencoder for face swapping, Zonglin LI, Zhaoxin ZHANG, Shengfeng HE, Quanling MENG, Shengping ZHANG, Bineng ZHONG, and Rongrong JI Journal Article

PDF

Instant3D: Instant Text-to-3D Generation, Ming LI, Pan ZHOU, Jia-Wei LIU, Jussi KEPPO, Min LIN, Shuicheng YAN, and Xiangyu XU Journal Article

PDF

Learning an interpretable stylized subspace for 3D-aware animatable artforms, Chenxi ZHENG, Bangzhen LIU, Xuemiao XU, Huaidong ZHANG, and Shengfeng HE Journal Article

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

Submissions from 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

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

From asset flow to status, action and intention discovery: Early malice detection in cryptocurrency, Ling CHENG, Feida ZHU, Yong WANG, Ruicheng LIANG, and Huiwen LIU Journal Article

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

Last digit tendency: Lucky number and psychological rounding in mobile transactions, Hai WANG, Tian LU, Yingjie ZHANG, Yue WU, Yiheng SUN, Jingran DONG, and Wen HUANG Journal Article

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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

PDF

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