| 2026 | AAAI | LLaVA-MS-PIT: Multi-Modal Schema-Guided Progressive Instruction Tuning for Multi-Modal Event Extraction. | Hui Zhang, Po Hu, Wei Emma Zhang |
| 2026 | WWW | Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS. | Liangwei Nathan Zheng, Wenhao Liang, Wei Emma Zhang, Miao Xu, Olaf Maennel, Weitong Chen |
| 2026 | SIGIR | PeaCap: Patch-Level Retrieval for Lightweight Retrieval-Augmented Image Captioning. | Robin Viltoriano, Wei Emma Zhang, Hu Wang, Mong Yuan Sim, Yanjun Shu |
| 2026 | SIGIR | The Second Workshop on Evaluation of Multimodal Generation. | Wei Emma Zhang, Xiang Dai, Sarvnaz Karimi, Desmond Elliott, Biaoyan Fang, Mong Yuan Sim |
| 2025 | ACL | Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models. | Mong Yuan Sim, Wei Emma Zhang, Xiang Dai, Biaoyan Fang |
| 2025 | ADMA | TraffiX-MoE: A Traffic-Aware Neural VRP Solver. | Wenhao Liang, Wei Emma Zhang, Lin Yue, Joy Rathjen, Peter Oloughlin, Weitong Chen |
| 2025 | CIKM | Calibrating on Kolmogorov-Arnold Network. | Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | CIKM | Calibrating on Medical Segmentation Model through Signed Distance. | Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | CIKM | MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. | Lishan Yang, Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Weitong Chen, Ali Shakeri |
| 2025 | CIKM | Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement. | Liangwei Nathan Zheng, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | COLING | Proceedings of the First Workshop of Evaluation of Multi-Modal Generation. | Wei Emma Zhang, Xiang Dai, Desmond Elliott, Byron Fang, Mong Yuan Sim, Haojie Zhuang, Weitong Chen |
| 2025 | EMNLP | Fine-Tuning Encoder-Decoder Models with Contrastive Learning for In-Context Distractor Generation. | Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang, Mohammed I. Thanoon, Haojie Zhuang, Behnaz Soltani, Munazza Zaib |
| 2025 | EMNLP | The More, The Better? A Critical Study of Multimodal Context in Radiology Report Summarization. | Mong Yuan Sim, Wei Emma Zhang, Xiang Dai, Biaoyan Fang, Sarbin Ranjitkar, Arjun Burlakoti, Jamie Taylor, Haojie Zhuang |
| 2025 | ICSOC | SDAD: A Service Deployment Method Based on Association Rule and Reinforcement Learning for Edge Computing. | Hanzhi Xu, Yanjun Shu, Wei Emma Zhang, Zhuangyu Ma, Zhan Zhang, Decheng Zuo |
| 2025 | KDD | Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment. | Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | PAKDD | TrojanTime: Backdoor Attacks on Time Series Classification. | Chang Dong, Zechao Sun, Guangdong Bai, Shuying Piao, Weitong Chen, Wei Emma Zhang |
| 2025 | PAKDD | FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings. | Ali Shakeri, Wei Emma Zhang, Amin Beheshti, Weitong Chen, Jian Yang, Lishan Yang |
| 2024 | ACML | Countering Relearning with Perception Revising Unlearning. | Chenhao Zhang, Weitong Chen, Wei Emma Zhang, Miao Xu |
| 2024 | CIKM | Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble. | Chang George Dong, Zhengyang David Li, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang |
| 2024 | CIKM | Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. | Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen |
| 2024 | CIKM | Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. | Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2024 | CIKM | Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations. | Haojie Zhuang, Wei Emma Zhang, Jian Yang, Weitong Chen, Quan Z. Sheng |
| 2024 | EACL | Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization. | Haojie Zhuang, Wei Emma Zhang, Chang Dong, Jian Yang, Quan Sheng |
| 2024 | EMNLP | Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation. | Elaf Alhazmi, Quan Sheng, Wei Emma Zhang, Munazza Zaib, Ahoud Alhazmi |
| 2024 | ICDE | Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks (Extended Abstract). | Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, Longxiang Gao |
| 2024 | ICIP | Attention Enhancement With Parallel Groups for Remote Sensing Object Detection. | Zhigang Yang, Yiming Liu, Zehao Gao, Jiayue He, Tao Chen, Wei Emma Zhang |
| 2024 | IJCNN | Disentangling Specificity for Abstractive Multi-document Summarization. | Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo |
| 2024 | ICSOC | CDL+: An Extended Capability Description Language Design For Medical Data-Driven Process. | Yongping Tang, Wei Emma Zhang |
| 2024 | ICWS | Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing. | Yutong Qu, Jian Yang, Wei Emma Zhang, Weitong Chen, Hong Qing Yu |
| 2024 | ICWS | Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems. | Ali Shakeri, Perry Chen, Yanjun Shu, Lishan Yang, Wei Emma Zhang, Weitong Chen |
| 2024 | NAACL | Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output. | Haojie Zhuang, Wei Emma Zhang, Leon Xie, Weitong Chen, Jian Yang, Quan Sheng |
| 2024 | WISE | Learning Contrastive Representations for Dense Passage Retrieval in Open-Domain Conversational Question Answering. | Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Elaf Alhazmi, Adnan Mahmood |
| 2023 | IJCNN | The Exploration of Knowledge-Preserving Prompts for Document Summarisation. | Chen Chen, Wei Emma Zhang, Alireza Seyed Shakeri, Makhmoor Fiza |
| 2023 | IJCNN | Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering. | Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Adnan Mahmood |
| 2023 | IJCNN | Hybrid Data Augmentation for Citation Function Classification. | Yang Zhang, Yufei Wang, Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao |
| 2023 | ICWS | Data Product-Oriented Services for Data Ecosystem. | Wei Emma Zhang, Perry Chen, Jian Yang, Jianwen Su, Quan Z. Sheng |
| 2023 | SENSYS | Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution. | Zicong Wen, Wei Emma Zhang, Lipin Guo, Weitong Chen |
| 2023 | WISE | Learning to Select the Relevant History Turns in Conversational Question Answering. | Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Subhash Sagar, Adnan Mahmood, Yang Zhang |
| 2023 | WSDM | SimSumIoT: A Platform for Simulating the Summarisation from Internet of Things. | Wei Emma Zhang, Adnan Mahmood, Lixin Deng, Minhao Zhu |
| 2022 | EMNLP | Learning From the Source Document: Unsupervised Abstractive Summarization. | Haojie Zhuang, Wei Emma Zhang, Jian Yang, Congbo Ma, Yutong Qu, Quan Z. Sheng |
| 2022 | IJCNLP | An Empirical Study on Topic Preservation in Multi-Document Summarization. | Mong Yuan Sim, Wei Emma Zhang, Congbo Ma |
| 2022 | PACLIC | Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. | Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo |
| 2021 | ADMA | A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects. | Abdulwahab Aljubairy, Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Dai Hoang Tran |
| 2021 | IJCNN | A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis. | Ahoud Alhazmi, Abdulwahab Aljubairy, Wei Emma Zhang, Quan Z. Sheng, Elaf Alhazmi |
| 2021 | SIGIR | A Web-based Knowledge Hub for Exploration of Multiple Research Article Collections. | Wei Emma Zhang, Miao Liu, Alan Pallath, Gokul Tamilventhan |
| 2021 | TrustCom | BERTDeep-Ware: A Cross-architecture Malware Detection Solution for IoT Systems. | Salma Abdalla Hamad, Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang |
| 2021 | WISE | Towards a Deep Learning-Driven Service Discovery Framework for the Social Internet of Things: A Context-Aware Approach. | Abdulwahab Aljubairy, Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Dai Hoang Tran |
| 2021 | WISE | Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation. | Dai Hoang Tran, Salma Abdalla Hamad, Munazza Zaib, Abdulwahab Aljubairy, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Nguyen Lu Dang Khoa |
| 2021 | WISE | TDM-CFC: Towards Document-Level Multi-label Citation Function Classification. | Yang Zhang, Yufei Wang, Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao |
| 2020 | CaiSE | SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things. | Abdulwahab Aljubairy, Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi |
| 2020 | CCGRID | Helibot - A Smart Distributed Energy Resources Platform for Futuristic Smart Grids. | Vanh Khuyen Nguyen, Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, Trung Duc Vo |
| 2020 | ECCV | Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering. | Ruixue Tang, Chao Ma, Wei Emma Zhang, Qi Wu, Xiaokang Yang |
| 2020 | IJCNLP | Aspect Extraction Using Coreference Resolution and Unsupervised Filtering. | Deon Mai, Wei Emma Zhang |
| 2020 | IJCNN | Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach. | Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Abdulwahab Aljubairy |
| 2020 | IJCNN | Are Modern Deep Learning Models for Sentiment Analysis Brittleƒ An Examination on Part-of-Speech. | Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Abdulwahab Aljubairy |
| 2020 | IJCNN | HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems. | Dai Hoang Tran, Abdulwahab Aljubairy, Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Khoa L. D. Nguyen |
| 2020 | SIGIR | Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. | Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang |
| 2020 | SENSYS | Toothbrushing data and analysis of its potential use in human activity recognition applications: dataset. | Zawar Hussain, David Waterworth, Murtadha Aldeer, Wei Emma Zhang, Quan Z. Sheng |
| 2019 | ICONIP | Machine Learning Based Trust Model for Misbehaviour Detection in Internet-of-Vehicles. | Sarah Ali Siddiqui, Adnan Mahmood, Wei Emma Zhang, Quan Z. Sheng |
| 2019 | INFOCOM | Demo Abstract: An End-to-End Real-Time Efficient System for Smart Energy Monitoring. | Vanh Khuyen Nguyen, Wei Emma Zhang, Khoa Le, Adnan Mahmood, Quan Z. Sheng |
| 2019 | MOBICOM | Poster: A Machine Learning based Hybrid Trust Management Heuristic for Vehicular Ad hoc Networks. | Sarah Ali Siddiqui, Adnan Mahmood, Wei Emma Zhang, Quan Z. Sheng |
| 2019 | Mobiquitous | A cost-effective and non-invasive system for sleep and vital signs monitoring using passive RFID tags. | Zawar Hussain, Subhash Sagar, Wei Emma Zhang, Quan Z. Sheng |
| 2019 | PDCAT | A Hybrid Trust Management Model for Secure and Resource Efficient Vehicular Ad hoc Networks. | Adnan Mahmood, Sarah Ali Siddiqui, Wei Emma Zhang, Quan Z. Sheng |
| 2019 | PERCOM | A Hybrid Trust Management Heuristic for VANETs. | Adnan Mahmood, Bernard Butler, Wei Emma Zhang, Quan Z. Sheng, Sarah Ali Siddiqui |
| 2019 | TrustCom | IoT Device Identification via Network-Flow Based Fingerprinting and Learning. | Salma Abdalla Hamad, Wei Emma Zhang, Quan Z. Sheng, Surya Nepal |
| 2018 | SIGIR | Related or Duplicate: Distinguishing Similar CQA Questions via Convolutional Neural Networks. | Wei Emma Zhang, Quan Z. Sheng, Zhejun Tang, Wenjie Ruan |
| 2018 | WISE | Identifying Price Index Classes for Electricity Consumers via Dynamic Gradient Boosting. | Vanh Khuyen Nguyen, Wei Emma Zhang, Quan Z. Sheng |
| 2017 | ADMA | Mining Load Profile Patterns for Australian Electricity Consumers. | Vanh Khuyen Nguyen, Wei Emma Zhang, Quan Z. Sheng, Jason Merefield |
| 2017 | ADMA | Feature Analysis for Duplicate Detection in Programming QA Communities. | Wei Emma Zhang, Quan Z. Sheng, Yanjun Shu, Vanh Khuyen Nguyen |
| 2017 | CaiSE | Identifying Domains and Concepts in Short Texts via Partial Taxonomy and Unlabeled Data. | Yihong Zhang, Claudia Szabo, Quan Z. Sheng, Wei Emma Zhang, Yongrui Qin |
| 2017 | DASFAA | Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion. | Wenjie Ruan, Peipei Xu, Quan Z. Sheng, Nickolas J. G. Falkner, Xue Li, Wei Emma Zhang |
| 2017 | ICSOC | A Tree-Based Reliability Analysis for Fault-Tolerant Web Services Composition. | Yanjun Shu, Decheng Zuo, Hongwei Liu, Quan Z. Sheng, Wei Emma Zhang, Jian Yang |
| 2017 | WWW | Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules. | Wei Emma Zhang, Quan Z. Sheng, Jey Han Lau, Ermyas Abebe |
| 2016 | ADMA | Mining Source Code Topics Through Topic Model and Words Embedding. | Wei Emma Zhang, Quan Z. Sheng, Ermyas Abebe, Muhammad Ali Babar, Andi Zhou |
| 2016 | BigData | Identification as a Service: Large-Scale Cloud Service Discovery over the World Wide Web. | Abdullah Alfazi, Quan Z. Sheng, Wei Emma Zhang, Lina Yao, Talal H. Noor |
| 2016 | CIKM | Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model. | Wenjie Ruan, Quan Z. Sheng, Peipei Xu, Nguyen Khoi Tran, Nickolas J. G. Falkner, Xue Li, Wei Emma Zhang |
| 2016 | CIKM | When Sensor Meets Tensor: Filling Missing Sensor Values Through a Tensor Approach. | Wenjie Ruan, Peipei Xu, Quan Z. Sheng, Nguyen Khoi Tran, Nickolas J. G. Falkner, Xue Li, Wei Emma Zhang |
| 2016 | CIKM | Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. | Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao, Qinfeng Shi |
| 2016 | SAC | SECF: improving SPARQL querying performance with proactive fetching and caching. | Wei Emma Zhang, Quan Z. Sheng, Yongrui Qin, Lina Yao, Ali Shemshadi, Kerry L. Taylor |
| 2016 | WISE | Learning-Based SPARQL Query Performance Prediction. | Wei Emma Zhang, Quan Z. Sheng, Kerry L. Taylor, Yongrui Qin, Lina Yao |
| 2015 | DASFAA | Identifying and Caching Hot Triples for Efficient RDF Query Processing. | Wei Emma Zhang, Quan Z. Sheng, Kerry Taylor, Yongrui Qin |
| 2015 | EDBT | SIEF: Efficiently Answering Distance Queries for Failure Prone Graphs. | Yongrui Qin, Quan Z. Sheng, Wei Emma Zhang |
| 2015 | ICPADS | Efficient Algorithms for Scheduling XML Data in a Mobile Wireless Broadcast Environment. | Yongrui Qin, Hua Wang, Ji Zhang, Xiaohui Tao, Wei Emma Zhang, Kerry L. Taylor, Quan Z. Sheng |
| 2014 | CIKM | Indexing Linked Data in a Wireless Broadcast System with 3D Hilbert Space-Filling Curves. | Yongrui Qin, Quan Z. Sheng, Nickolas J. G. Falkner, Wei Emma Zhang, Hua Wang |
| 2014 | SIGIR | Graph-based large scale RDF data compression. | Wei Emma Zhang |
| 2014 | WISE | A Decremental Search Approach for Large Scale Dynamic Ridesharing. | Ali Shemshadi, Quan Z. Sheng, Wei Emma Zhang |