News
Updates on publications, awards, and academic activities.
Three papers accepted to ACL 2026
Xiaocong's work 'Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation' accepted to SIGIR 2026
Chao's work 'RegionSLM: Region-aware Question Answering on Document Screenshots' accepted to SIGIR 2026
Four papers accepted to SIGIR 2026
Congratulations to Dr Haodong Lu on thesis submission
Congratulations to Dr Shiyi Yang — now PostDoc Research Fellow
Congratulations to Dr Jingcheng Li on his future endeavors
Li's work 'Unifying Stable Optimization and Reference Regularization in RLHF' accepted to ICLR 2026
Hongtao's work 'Dual conditional diffusion models for sequential recommendation' accepted to WSDM 2026
Shuguang's work 'PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation' accepted to WebConf 2026
Shiyi's work 'DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents' accepted to WebConf 2026
Xiaoxin's work 'Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation' accepted to WebConf 2026
Congratulations to Dr Hongtao Huang on future endeavors
Named among Clarivate Highly Cited Researchers 2025
Panelist for 'AI Research Future Directions' at Royal Society of NSW Forum 2025
Haowei's work 'ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations From Speech' accepted to AAAI-26
ARC Discovery Project funding for Autonomous Continual Learning research
Returning to UNSW in new capacity
Congratulations to Dr Ruoyu Wang on future endeavors
Service on 2025 ICDM Paper Awards Committee
Seven papers accepted to CIKM 2025
Hongtao's work 'Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction' accepted to NeurIPS 2025
Two papers accepted to NeurIPS 2025
Three papers accepted to EMNLP 2025
Associate Editor appointment for ACM Transactions on Information Systems
ARC Future Fellowship awarded for 'steerable LLM-powered AI Agents' research
Xinshu's work 'Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation' accepted to ACM MM'25
Yun's work 'Compositional Zero-Shot Learning with Contextualized Cues and Adaptive Contrastive Training' accepted to ACM MM'25
Two papers accepted to ACM MM'25
Ruoyu's work 'Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation' accepted to IROS 2025
Xiaocong's work 'Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning' accepted to IROS 2025
Two papers accepted to IROS 2025
New paper on 'Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models'
Congratulations to Dr Xinshu Li on future endeavors
Paper on GUI Agents accepted to ACL 2025
Congratulations to Dr Siyu Wang on future endeavors
Tutorial on Agentic LLM for Recommender Systems accepted to RecSys 2025
One paper accepted to ICML 2025
One paper accepted to SIGIR 2025
Three papers accepted to CVPR 2025
One paper accepted to SenSys 2025
Saurav's work 'Mining your own secrets: Diffusion Classifier scores for Continual Personalization of Text-to-Image Diffusion Models' accepted to ICLR 2025
Three papers accepted to ICLR 2025
Siyu's work 'Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation' accepted to WebConf 2025
Annual Outstanding Contribution Award for Editorial Board Members of Tsinghua Science and Technology
Topic-Contributed Paper Session accepted to JSM 2025
Haokai's work 'Diffusion Transformer-Augmented fMRI Functional Connectivity for Enhanced Autism Spectrum Disorder Diagnosis' accepted to Journal of Neural Engineering
One paper accepted to AAAI-25
Recognized as Outstanding Reviewer for ECML PKDD 2024
Chengkai's work 'Embedding-Informed Adaptive Retrieval-Augmented Generation via Assessing the Intrinsic Knowledge of Large Language Models' accepted to COLING 2025
Named 2024 Clarivate Highly Cited Researcher
Keynote speech on 'Towards Agentic Recommender Systems' at ARC Training Centre
Joined 2024 ICDM Awards Committee
Congratulations to Dr Guanglin Zhou on future endeavors
Congratulations to Dr Le Pan on future endeavors
Saurav's work 'CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models' accepted to NeurIPS 2024
Listed among World's Top 2% Scientists (Stanford University, 2024)
One paper accepted to EMNLP 2024
Call for Papers: ACM TOIS Special Section on Causality Representation Learning in LLMs-Driven Recommender Systems
Paper nominated for 2024 IEEE Signal Processing Letters Best Paper Award
Service as Industry Co-Chair for PAKDD 2025
Service as Senior Area Chair for KDD 2025
Guanglin's work 'HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization' accepted to IEEE TMM
Rui's work 'In-Context Learning for Zero-shot Medical Report Generation' accepted to ACM MM 2024
Siyu's work 'On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems' accepted to CIKM 2024
Shiyi's work 'Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles' accepted to CIKM 2024
Three papers accepted to CIKM 2024
One paper accepted to ACM MM 2024
Yao's work 'Multi-agent Traffic Prediction via Denoised Endpoint Distribution' accepted to IROS 2024
Service as Track Chair for Semantics and Knowledge, WWW 2025
Congratulations to Dr Zesheng Ye on future endeavors
Congratulations to Dr Yao Liu on future endeavors
Xinshu's work 'Self-Distilled Disentangled Learning for Counterfactual Prediction' accepted to KDD 2024
Xiaocong's work 'Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation' accepted to KDD 2024
Two papers accepted to KDD 2024
Service as Industry Chair for WWW 2025
One paper accepted to ICML 2024
Xiaocong's work 'On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems' accepted to ACM TOIS
Yao's work 'Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction' accepted to IEEE TKDE
One paper accepted to SIGIR 2024
One paper accepted to 2024 NAACL
Service as General Co-Chair of Special Session on 'Private, Secure, and Trust Data Analytics' at DSAA 2024
Yun's work 'Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning' accepted to CVPR 2024
Joined organization committee of MSN 2024
Congratulations to Dr Jing Du on future endeavors
Hongtao's work 'MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment' accepted to WebConf 2024
Two papers accepted to ICLR 2024
Service as Senior Area Chair for KDD 2024 Research Track
Appointed Adjunct Professor at Australian Artificial Intelligence Institute, UTS
Service as Associate Editor for IEEE Transactions on Artificial Intelligence
Xinshu's work 'Distribution-conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation' accepted to AAAI-24
Two papers accepted to AAAI-24
Service as Leading Associate Editor for Tsinghua Sciences and Technology
ARC Discovery Project grants as Partner Investigator (three projects)
Listed in top 2% of world's most cited scientists (2022 Elsevier data)
Service as PhD Symposium Co-Chair, WISE 2024
Yun received Dean's Award for Outstanding PhD Theses
Saurav's work 'NPCL: Neural Processes for Uncertainty-Aware Continual Learning' accepted to NeurIPS 2023
Two papers accepted to NeurIPS 2023
Jing's work 'Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation' accepted to ICDM 2023
Zesheng's work 'See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activities' accepted to PR
Zhe's work 'Simple Primitives with Feasibility and Contextuality-Dependence for Open-World Compositional Zero-shot Learning' accepted to TPAMI
One paper accepted to IEEE TIP
Guanglin's work 'Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems' accepted to CIKM 2023
Yun's work 'Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning' accepted to ICCV 2023
Two papers accepted to ICCV 2023
Call for Papers: ACM TORS Special Issue on Deep Reinforcement Learning for Recommender Systems
Call for Papers: ACM TIST Special Issue on Responsible Recommender Systems
CIKM 2023 Call for Workshops
Listed among Best Computer Scientists in Australia (research.com)
Xiaoxin's work 'DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender' accepted to RecSys 2023
Congratulations to Dr Xuesong Wang on future endeavors
Congratulations to Dr Yuanjiang Cao on future endeavors
Congratulations to Dr Yun Li on future endeavors
Service as Track Chair (Senior Area Chair) for 2024 Web Conference
Yuanjiang's work 'Guided Image-to-Image Translation by Discriminator-Generator Communication' accepted to IEEE Transactions on Multimedia
Joined CORE Research Award Panel for 2023
Siyu's work 'Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning' accepted to SIGIR 2023
Chengkai's work 'Dual Contrastive Transformer for Hierarchical Preference Modelling in Sequential Recommendation' accepted to SIGIR 2023
Two full research papers and one short paper accepted to SIGIR 2023
Service as Poster Co-chair for Mobiquitous 2023
Paper 'When Object Detection Meets Knowledge Distillation: A Survey' accepted by IEEE TPAMI
Haowei's work 'Less is More: Brain Functional Connectivity Empowered Generalisable Intention Classification with Task-relevant Channel Selection' accepted to IEEE TNSRE
Chengkai's work 'Modeling Temporal Positive and Negative Excitation for Sequential Recommendation' accepted to TheWebConf 2023
Appointed Honorary Professor with Macquarie University (effective January 30, 2023)
Awarded ARC Discovery Project grant on Generalisable and Unbiased Dynamic Recommender Systems
IEEE CIS Open Book released
Tutorial 'When Mining Healthcare Data Meets AI Ethics' accepted to SDM 2023
Congratulations to Dr. Can Li on future endeavors
Yun's work 'Balancing Generalization and Specialization in Zero-shot Learning' accepted to TMM
Jing's work 'Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation' accepted to WSDM 2023
Two papers accepted to WSDM 2023
Won 2023 Chris Wallace Award for Outstanding Research Contribution
Xuesong's work 'Uncertainty Estimation with Neural Processes for Meta-Continual Learning' accepted to IEEE TNNLS
Service as Workshop Co-chair for ACM CIKM 2023
Service as Associate Editor for ACM Transactions on Recommender Systems
Congratulations to Dr. May Altulyan on future endeavor
Zhe Liu received Dean's Award for Outstanding PhD Theses
Appointed Conjoint Professor with UNSW (effective September 30, 2022)
Yao's work 'Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios' accepted to CIKM 2022
Jingcheng's work 'Multi-agent Transformer Networks for Multi-modal Human Activity Recognition' accepted to CIKM 2022
Moving to CSIRO's Data61 as Science Lead for Translational Machine Learning
Became ACM Senior Member
Congratulations to Dr. Usama Salama on future endeavor
Service as PC Co-chair for 2022 IEEE BDCloud
Paper 'Harnessing Confidence for Report Aggregation in Crowdsourcing Environment' won 2022 IEEE SCC Best Paper Award
Keynote speech delivery at CENet 2022
Jing selected to attend Rising Stars: Women in Engineering Workshop 2022
SBS Chinese talk show appearance
Paper 'TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection' accepted to IEEE TPAMI
Xuesong's work 'Contrastive Graph Learning for Population-based fMRI Classification' accepted to MICCAI 2022
Xiaocong's work 'Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference' accepted to IEEE TKDE
Roundtable discussion participation at ICDE 2022
Xiaocong's work 'Locality-Sensitive State-Guided Experience Replay Optimization for Sparse-Reward in Online Recommendation' accepted to SIGIR 2022
Service as PC Co-Chair for ADMA 2022
Zesheng's work 'Contrastive Conditional Neural Processes' accepted to CVPR 2022
Two papers accepted to CVPR 2022
Joined Editorial Board for Nature Scientific Reports
Elevated to IEEE Senior Member
Service as Associate Editor for ACM TALLIP
Listed among World's Top 2% Scientists (Stanford 2021)
Yun's work on entropy-guided reinforced partial convolutional network accepted to IEEE TCSVT
Joined Editorial Board for International Journal of Data Science and Analytics
Yun's work on attribute-modulated generative meta learning accepted to IEEE TMM
Guanglin's work on counterfactual inference accepted to SDM 2022
Awarded Educational Excellence and Innovation Group Award
Service as PC Chair for ICSOC 2022
Joined Women in Multimedia Roundtable at ACM MM Asia 2021
Panel session participation at ICDM 2021
Congratulations to Dr. Zhe Liu on future endeavors
Xuesong's ICDM paper selected as Best Paper Candidate
Xuesong's paper accepted to ICDM 2021
Yun awarded 2021 Google Fellowship in Machine Learning
Xiaocong's work accepted to CIKM 2021
Congratulations to Dr. Zhihui Li on future endeavors
Xuesong won People's Choice Award, made UNSW 3MT Final
Article featured in Women in Security Magazine
First podcast with Nicci Rossouw at Exaptec
Featured in Engineers Australia magazine
Service as workshop co-chair for AI 2021
Won 2021 Australia and New Zealand Women in AI Awards (AI in Cybersecurity)
Congratulations to Dr. Lei Bai on future endeavors
Service as Associate Editor for Frontiers in Big Data
Zhihui on CVPR 2021 acceptance
Service as Associate Editor for Knowledge-Based Systems
Listed as finalist for Inaugural Women in AI Awards 2021
Service as PC Chair for CIKM 2021 short paper track
Kaixuan and Dalin's survey accepted to CUSR
Listed among World's Top 2% Scientists (Stanford 2020)
Zhe on IEEE TNNLS acceptance
Zhe on AAAI-21 acceptance
Xiaocong on Pattern Recognition paper acceptance
Vice Chancellor's Award for Excellence in Higher Degree Research Supervision
Discovery Project grant for Robust Preference Inference research
Call for Papers: ACM TOSN Special Issue on Computational Intelligence in IoT
Survey paper on deep learning for non-invasive brain signals accepted to Journal of Neural Engineering
Lei awarded 2020 Google Fellowship in Machine Learning
Lei's work accepted to NeurIPS 2020
Kaixuan awarded Dean's Award for Outstanding PhD Theses 2020
Lei secured PostDoc position at University of Sydney
Feng, Can, Yun papers accepted to CIKM 2020
Zhe, Manqing, Zhihui papers accepted to KDD 2020
Three papers accepted to KDD 2020
Kaixuan and Dalin secured tenure-track Assistant Professor positions at Aalborg University
Lei's paper accepted to Ubicomp 2020
Paper 'The Future of Misinformation Detection' accepted to CUSR
Xiang's paper accepted to TIST
Invited as PC member of NeurIPS 2020
Awarded ARC Linkage Project grant
Xiang's paper accepted to JBHI
Survey on deep learning for sensor-based activity recognition available
Invited as PC member of KDD 2020
Dalin's paper accepted to JBHI
Awarded Scientia Fellowship (commencing 2020)
Zhihui won Best Paper Award of ADMA 2019
Shuai secured PostDoc at ETH Zurich
Xiang secured PostDoc at Harvard Medical School
Congratulations to Dr. Shuai Zhang on future endeavors
Zhihui's paper accepted to AAAI-20
Four papers accepted to AAAI-20
Dalin's paper accepted to TNSRE
Shuai's paper accepted to NeurIPS 2019
Service as Associate Editor for ACM TOSN
Survey on deep learning for Brain Computer Interface available
Xiang's paper accepted to ICDM 2019
Congratulations to Dr. Xiaodong Ning (first PhD graduate)
Lei, Kaixuan, Feng, Shuai papers accepted to IJCAI 2019
Five papers accepted to IJCAI 2019
Xiang's paper accepted to KDD 2019
Call for Papers: Special Issue on Recommender System (CCF Transactions)
Kaixuan, Zhihui, Shuai papers accepted to AAAI-19
Three papers accepted to AAAI-19