Historical News

What's New 

• [17 December 2023] Our tutorial proposal was accepted by The Web Conference 2024, and we will deliver a tutorial "On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm". 

• [8 December 2023] I have been recognized with the 2023 Rising Star of Science Award on Research.com  and ranked 11th in Australia.

• [1 December 2023] We have four research papers accepted by the top conference ICDE 2024 1st Round (CORE A*, CCF A).

  1. Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation

  2. Graph Condensation for Inductive Node Representation Learning

  3. BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection

  4. HeteFedRec: Federated Recommender Systems with Model Heterogeneity

• [30 October 2023] Our ARC DP 2024 application, titled "Privacy-Aware and Personalised Explanation Overlays for Recommender Systems", has been granted and funded. 

• [20 October 2023] We have three research papers accepted as ORAL by the top conference WSDM 2024.

  1. Budgeted Embedding Table For Recommender Systems

  2. Defense Against Model Extraction Attacks on Recommender Systems 

  3. Motif-based Prompt Learning for Universal Cross-domain Recommendation

• [16 October 2023] Our research paper "Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures" has been accepted by the top journal TOIS (CORE A and CCF A).

• [1 October 2023] Our research paper "Variational Counterfactual Prediction under Runtime Domain Corruption" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).

• [6 September 2023] I was invited to serve as Senior PC for PAKDD 2024 and DASFAA 2024.

• [6 September 2023] We have two papers accepted by the top conference ICDM 2023 (Acceptance Rate 9.73% for Regular Papers). 

  1. Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation

  2. To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data

• [6 August 2023] I am honored to receive AIPS Young Tall Poppy Science Award 2023. 

• [5 August 2023] We have four research papers accepted by the top conference CIKM 2023.

  1. Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation

  2. Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks

  3. Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph

  4. Causality-guided Graph Learning for Session-based Recommendation 

• [24 July 2023] I was invited to serve as an Area Chair (AC) for the User Modeling and Recommendation track of The Web Conference 2024.

• [24 July 2023] We have two TKDE papers recognized as ESI Highly Cited Papers. 

  1. Enhancing Social Recommendation With Adversarial Graph Convolutional Networks - TKDE 2022.

  2. Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups - TKDE 2022.

• [12 July 2023] Our research paper "Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).

• [22 June 2023] Congratulations to my Ph.D. graduates Dr. Shijie Zhang and Dr. Qinyong Wang on winning UQ Graduate School 2022 and 2021 Dean's Award for Outstanding Higher Degree by Research Theses. 

• [20 June 2023] Congratulations to my Ph.D. student Dr. Junliang Yu on achieving his Ph.D.  from The University of Queensland. 

• [19 June 2023] Our research paper "XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).

• [2 June 2023] Our research paper "Self-Supervised Learning for Recommender Systems: A Survey" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).

• [18 May 2023] I was invited to be an SPC for the top conference CIKM 2023.

• [17 May 2023] Our research paper "Efficient Bi-Level Optimization for Recommendation Denoising"  was accepted by the top conference KDD 2023 Research Track (CORE A* and CCF A).

• [4 May 2023]  I am excited to receive the prestigious “AI's 10 to Watch” award from the IEEE Computer Society, IEEE Intelligent Systems. 

• [2 May 2023] Our research paper "KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment" was accepted by the top conference ACL 2023 (CCF A and CORE A*).  Congratulations to Lingzhi!

• [20 April 2023] Our research paper "Imbalanced Node Classification Beyond Homophilic Assumption" was accepted by the top conference IJCAI 2023 (CCF A and CORE A*).  Congratulations to Jie Liu!

• [10 April 2023] I was invited to give a speech on the public webinar "Application and Future Challenges of ChatGPT "  by the editorial office of Human-Centric Intelligent Systems.

• [6 April 2023] We have four full research papers accepted by the top conference SIGIR 2023 (CCF A and CORE A*) .  Congratulations to the Ph.D. students Wei Yuan, Jing Long, Yunke Qu, and Shangfei Zheng.  

  1. Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures

  2. Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation

  3. Continuous Input Embedding Size Search For Recommender Systems

  4. DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning

• [8 March 2023] Our research paper "TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT" has been accepted by the highly impacted journal - IEEE Transactions on Industrial Informatics (JCR Q1).  Congratulations to Yuting.

• [2 March 2023] Our research paper "Knowledge Enhancement for Contrastive Multi-Behavior Recommendation" has won "Best Paper Award - Honorable Mention" at WSDM 2023.

• [1 March 2023] We organize a special issue on Graph Representation Learning for Feature Extraction and Signal Processing in CAAI Transactions on Intelligence Technology (JCR Q1), calling for papers. 

• [18 Feb 2023] Our research work "Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation" was accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) 2023 (CORE A* and Q1). Congratulations to Guanhua.

• [15 Feb 2023] Our research work "Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution" was accepted by TKDE 2023 (CORE A* and CCF A). 

• [27 January 2023]  I was invited to join the Doctoral Consortium Committee of WSDM 2023 as a Mentor.

• [26 January 2023] We have 2 research papers accepted by The Web Conference 2023 (CCF A and CORE A*). Congratulations to the first authors Wei Yuan and Liang Qu.

  1. Interaction-level Membership Inference Attack Against Federated Recommender Systems

  2. Semi-decentralized Federated Ego Graph Learning for Recommendation

• [9 January 2023] Our research paper "Knowledge Enhancement for Contrastive Multi-Behavior Recommendation" has been shortlisted for the Best Paper Award (BPA) for WSDM 2023,  and there are only four BPA candidate papers.

• [6 January 2023] Our research paper "Efficient On-Device Session-Based Recommendation" was accepted by the top journal  ACM Transactions on Information Systems (TOIS, CCF A, CORE A).

• [3 January 2023] Our social computing work "Self-supervised Hypergraph Representation Learning for Sociological Analysis" was accepted by the top journal TKDE (CORE A* and CCF A).

• [30 December 2022] Our survey paper "AutoML for Deep Recommender Systems: A Survey" was accepted by the top journal  ACM Transactions on Information Systems (TOIS, CCF A, CORE A).

• [23 December 2022] I was invited to serve as PC for the top conference SIGIR 2023,  KDD 2023,  and IJCAI 2023.

• [30 November 2022] I was awarded Faculty Teaching and Learning Awards (EAIT Citation for Excellence in Student Learning).

• [22 November 2022] I was invited to serve as a senior PC (meta reviewer) for the top conference  PAKDD2023 (CORE A).

• [15 November 2022] I have been recognized with the 2022 Rising Star of Science Award and ranked 28 in Australia on Research.com.

• [13 November 2022]  I was invited to serve as a senior PC (meta reviewer) and proceeding chair for DASFAA 2023 (CCF B).

• [11 November 2022] Our group's github has been launched https://github.com/AIHub-UQ.

• [1 November 2022] Our research paper "Structure Learning via Meta-Hyperedge for  Dynamic Rumor Detection" was accepted by the top journal TKDE (CORE A* and CCF A).

• [18 October 2022] We have 4 joint research papers (collaborated with Alibaba, Tencent, Microsoft Research Asia, Beijing University of Posts and Telecommunications, UTS) accepted by the top conference WSDM 2022 (CORE A*).

  1. Federated Unlearning for On-Device Recommendation 

  2. Knowledge Enhancement for Contrastive Multi-Behavior Recommendation 

  3. Learning to Distill Graph Neural Networks 

  4. Simplifying Graph-based Collaborative Filtering for Recommendation

• [14 October 2022] I was shortlisted for the 2022 University of Queensland Citations for Outstanding Contributions to Student Learning.

• [10 October 2022] I was invited to serve as an area chair in the Industry and Application Track program committee for ICDE 2023 (CORE A* and CCF A).

• [1 October 2022] I was invited to deliver a keynote at The 9th International Conference on Behavioral and Social Computing (BESC 2022).

• [6 September 2022]  I received "Most Effective Teacher Nomination of EAIT Faculty" for my teaching INFS7450 Social Media Analytics.

• [1 September 2022] We have two research papers on knowledge graph reasoning accepted by ICDE 2023 (CCF A, CORE A*) and one research paper on sequential recommendation systems accepted by ICDM 2022 (CCF B, CORE A).

  1. Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation, ICDM 2022.

  2. MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning, ICDE 2023.

  3. Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction, ICDE 2023.

• [22 August 2022] Our work "Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation" was accepted by the top journal TNNLs (CORE A*, Q1 with IF 14.26). 

• [17 August 2022] Our work "Self-supervised Graph Learning for Occasional Group Recommendation" was accepted by International Journal of Intelligent Systems (Q1 with IF 8.993)

• [8 August 2022] Congratulations to three new PhD holders Shijie Zhang, Xuhui Ren and Mubashir Imran on successfully passing their PhD thesis defences, and receiving competitive job offers from Tencent, Intel and Amazon respectively.

• [29 July 2022] We have two papers on federated and decentralized recommendation systems accepted by the top journal ACM Transactions on Information Systems (TOIS, CCF A, CORE A).

  1. Decentralized Collaborative Learning Framework for Next POI Recommendation

  2. ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences 

• [4 July 2022] Our work "Switchable Online Knowledge Distillation" was accepted by the top conference ECCV 2022 (CORE A*).

• [19 June 2022] Our work "Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation" was  accepted by the top journal TKDE (CCF A, CORE A*). 

• [20 May 2022] Our work "A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation" was accepted by the top journal ACM Transactions on Information Systems (TOIS, CCF A, CORE A).

• [20 May 2022] Our work "CIRCLE: Continual Repair across Programming Languages " was accepted by The ACM SIGSOFT International Symposium on Software Testing and Analysis 2022 (ISSTA, CCF A, CORE A).

• [31 March 2022] We have 4 full research papers on recommender systems accepted by the top conference SIGIR 2022 (CORE A* and CCF A). Congratulations to Junliang, Rocky, Xin and Liang.  Here are the papers:

  1. "Are Graph Augmentations Necessary? Simple Graph Contrastive by Learning for Recommendation"

  2.  "Thinking inside The Box: Learning Hypercube Representations for Group Recommendation"

  3.  "On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation" 

  4.   "Single-shot Embedding Dimension Search in Recommender System"

• [31 March 2022] We just release two survey papers on recommender systems on arXiv: Self-Supervised Learning for Recommender Systems: A Survey and AutoML for Deep Recommender Systems: A Survey. 

• [15 March 2022] I was recognized as the 2022 AI 2000 Most Influential Scholars by AMiner. 

• [14 February 2022] We organize a special issue "Trustworthy Recommendation and Search" in ACM Transactions on Information Systems (TOIS), and call for paper is beginning. 

• [14 January 2022] We have two papers "ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs" and "Unified Question Generation with Continual Lifelong Learning" accepted by the top conference Web Conference 2022 (WWW'22, CORE A* and CCF A).

• [8 January 2022]  Our work "DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks" was accepted by the top journal TKDE (CCF A, CORE A*). 

• [3 January 2022] As the first research output of my Future Fellow Project,  our work "Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent" was accepted by the CORE A* journal IEEE Journal of Biomedical and Health Informatics. 

• [22 December 2021]  Our ARC LIEF 2022 application "A Secure Smart Sensing and Industry Analytics Facility for Industry 4.0" was successfully granted .

• [20 December 2021]  Our tutorial "Self-Supervised Learning in Recommendation: Fundamentals and Advances " was accepted by the top conference - Web Conference 2022 (WWW'22, CORE A* and CCF A).

• [24 November 2021] Congratulations to my PhD graduate Dr. Hongxu Chen on UQ Graduate School 2020 Dean's Award for Outstanding Higher Degree by Research Theses.

• [12 October 2021] Our two papers "PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion" and "Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation" were accepted by the top conference WSDM 2022 (CORE A* and CCF B).

• [5 October 2021] Our paper "Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling" was accepted by IEEE Transactions on Neural Networks and Learning Systems  (CORE A*).

• [29 September 2021]  I received "Most Effective Teacher Nomination of EAIT Faculty" for my teaching INFS7450 and INFS7205.

• [13 September 2021] Our industry collaboration work "Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs" was accepted by the top journal TKDE(CORE A*, CCF A).

• [1 September 2021] Our paper "Fast-adapting and Privacy-preserving Federated Recommender System" was accepted by the top journal VLDB J (CORE A*, CCF A).

• [17 August 2021] Our project "Cybersecurity Defence Strategies of Distribution Synchrophasor in Smart Grids" was funded by UQ Cyber Initiative Strategic Research Seed Funding. 

• [11 August 2021] I was granted ARC Future Fellowship.

• [8 August 2021] We have four full and one short papers accepted by the top conference - CIKM 2021 (CCF B and CORE A).

• [16 July 2021] Our paper "Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning"  was accepted by the leading journal TKDE  (Q1, CCF A, CORE A*).

• [23 June 2021] We are organizing a workshop on Privacy, Security, and Trust in Computational Intelligence in CIKM 2021, and call for papers is beginning.

• [15 June 2021] We are organizing a special track "Trustworthy Recommender Systems" in AJCAI 2021, and call for papers is beginning.

• [16 May 2021] We have four research papers accepted by the top conference - KDD 2021 (CCF A and CORE A*)

• [29 April 2021] We have two research papers accepted by the top conference - IJCAI 2021 (CCF A and CORE A*)

• [15 April 2021] We have four full research papers accepted by the top conference - SIGIR 2021 (CCF A and CORE A*)

• [19 March 2021] Our paper "Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation" was accepted by the leading journal - ACM TOIS (Q1, CCF A).

• [16 January 2021] We have four research papers accepted by the top conference - The Web Conference 2021 (CCF A and CORE A*).

• [5 January 2021] Our paper "FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection" was accepted by the leading health informatics journal - IEEE Journal of Biomedical and Health Informatics (Q1 and CORE A*). 

• [16 January 2021] We have four research papers accepted by the top conference - The Web Conference 2021 (CCF A and CORE A*).

• [5 January 2021] Our paper "FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection" was accepted by the leading health informatics journal - IEEE Journal of Biomedical and Health Informatics (Q1 and CORE A*).

• [15 December 2020] I am invited to be PC member of ICML 2021, KDD 2021 and SIGIR 2021.

• [18 December 2020] I am successfully promoted to associate professor.

• [4 December 2020] We have 1 paper "Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation" accepted by the top conference AAAI 2021 (CORE A*, CCF A).

• [16 October 2020] We have 3 papers "Heterogeneous Hypergraph Embedding for Graph Classification", "Temporal Meta-path Guided Explainable Recommendation" and "Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation" accepted by the top conference WSDM 2021 (CORE A*, CCF B).

• [11 October 2020] I am invited to be Senior PC member of IJCAI 2021.

• [8 October 2020] I co-organize a Special Issue on Intelligent Trajectory Data Analytic in ACM Transactions on Intelligent Systems and Technology (ACM TIST) (Q1 Journal), and call for papers is beginning.

• [2 October 2020] We have 2 papers "Reliable Recommendation with Review-level Explanations" and "Gallat: a Spatial-Temporal Graph Attention Network for Passenger Demand Prediction" accepted at the first round of ICDE'2021 (CORE A*, CCF A).

• [16 August 2020] Our paper "Decentralized Embedding Framework for Large-scale Networks" won DASFAA 2020 Best Student Paper Award, and Congratulations to my PhD student Mubashir Imran.

• [22 June 2020] I have been invited to join the Editorial Board of Springer Nature Computer Science as Associate Editor.

• [18 June 2020] I have been invited to join the Editorial Board of Complexity (Q1 Journal).

• [16 June 2020] Our paper "Disease Prediction via Graph Neural Networks" was accepted by the leading health informatics journal - IEEE Journal of Biomedical and Health Informatics (Q1 and CORE A*).

• [4 June 2020] I am invited to be PC member of WSDM 2021, AAAI 2021 and NeurIPS 2020.

• [16 May 2020] We have one research paper "Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction" accepted by top data mining conference KDD 2020 (CORE A*, CCF A) as oral (acceptance rate 16.8%).

• [13 May 2020] I co-organize a Special Issue on Explainability in World Wide Web (WWWJ) (CORE A), and call for papers is beginning.

• [12 May 2020] I co-organize a Special Issue on Misinformation on the Web in Information Systems (CORE A*), and call for papers is beginning.

• [23 April 2020] We have three papers on "robust recommendation", "explainable recommendation" and "streaming recommendation" accepted by top information retrieval conference SIGIR 2020 as full research papers

• [20 April 2020] Our paper "Discovering Subsequence Patterns for Next POI Recommendation" was accepted by IJCAI'20 (Acceptance rate 12.6%)

• [13 April 2020] Our paper "CRSAL: Conversational Recommender Systems with Adversarial Learning" was accepted by #1 IR journal - ACM Transactions on Information Systems (TOIS), which is a very comprehensive work on conversational recommender systems.

• [13 March 2020] We have one paper "Social Boosted Recommendation with Folded Bipartite Network Embedding" directly accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE) without revision.

• [14 February 2020] I have been invited to be the area chair of The 19th China National Conference on Computational Linguistics (CCL2020).

• [9 February 2020] We have one paper "Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks" accepted by the top IR journal ACM Transaction on Information Systems (TOIS).

• [7 February 2020] We have two papers on network embedding "Graph Embeddings for One-pass Processing of Heterogeneous Queries" and "Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks" accepted at the second round of ICDE'2020.

• [1 February 2020] I have been invited to be the PC Co-chair of 7th International Conference on Behavioural and Social Computing (BESC2020).

• [11 January 2020] We have one paper "Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices" ACCEPTED by the Web Conference 2020, and it is the first work to move mobile recommender model and intelligence from the cloud to low-power mobile devices.

• [17 September 2019] I won UQ Foundation Research Excellence Award 2019 (The first winner of this award in School of ITEE since the establishment of this award 20 years ago).

• [2 October 2019] We have two papers accepted as full research papers at the first round of ICDE'2020.

• [10 August 2019] We have two papers on "session-based recommendation" accepted as full research papers by CIKM'19.

• [10 May 2019] We have one paper "Inferring Substitutable Products with Deep Network Embedding" ACCEPTED by IJCAI'19.

• [30 April 2019] We have three papers ACCEPTED for ORAL presentation at the KDD2019 Research track.

• [15 April 2019] We have two papers "User Guidance for Efficient Fact Checking" and "From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms" accepted as full research papers by the top database conference VLDB'19.

• [14 April 2019] Our paper "Online User Representation Learning Across Heterogeneous Social Networks" is accepted as a full research paper by the top information retrieval conference SIGIR'19.

• [11 April 2019] My first-authored paper "Social Influence-based Group Representation Learning for Group Recommendation" won ICDE'19 Best Paper Award.

• [5 March 2019] My first Ph.D. student Dr. Weiqing Wang won Dean's Award for Outstanding Higher Degree by Research Thesis.

• [9 February 2019] We have three papers on group recommendation, intention-aware sequential recommendation and network embedding with centrality information have been accepted by ICDE'19 as full research papers.

• [31 December 2018] We released two large-scale benchmark datasets for group recommendation in our accepted ICDE'19 paper, and they were derived from Douban-Event and Yelp respectively.

• [14 December 2018] I have been invited to join Editorial Board of Young Scientists of JCST (CCF Rank B).

• [7 December 2018] I have been successfully promoted to senior lecturer.

• [4 December 2018] Our paper "Personalized Video Recommendation Using Rich Contents from Videos" is accepted by the top data mining and database journal IEEE Transaction on Knowledge and Data Engineering (TKDE).

• [29 November 2018] Our ICDM'18 paper "TADA: Trend Alignment with Dual-Attention Multi-Task Recurrent Neural Networks for Sales Prediction" is selected as one of the best papers for possible publication in Knowledge and Information Systems.

• [28 November 2018] I receive an ARC Discovery Project Grant as the sole CI (DP 19).

• [20 November 2018] Our paper "Spatiotemporal Representation Learning for Translation-based POI Recommendation" is accepted by the top information retrieval journal ACM Transaction on Information Systems (TOIS, CCF A, ERA A).

• [10 September 2018] We will organize an International Workshop on Recommender Systems with Big Data in conjunction with ICDE 2019, and are now calling for papers.

• [18 August 2018] We have 3 full research papers accepted by ICDM'18, ACM MM'18 and CIKM'18.

• [25 May 2018] Our paper "TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation" wins the best paper award in the 2018 Australian Database Conference (ADC'18).

• [18 May 2018] Our paper "Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection" wins the best paper award in the Workshop of PAKDD'18 on Big Data Analytics for Social Computing.

• [6 May 2018]We have four research papers accepted by the top conference KDD'18 (CCF A, CORE A*).

• [12 April 2018]We have one full research paper accepted by the top conference SIGIR'18 (CCF A, CORE A*).

• [20 February 2018]We have three full research papers accepted by the top conference ICDE'18 (CCF A, CORE A*).

• [19 February 2018]We have five research papers accepted by the top conference Dasfaa'18 (CCF B).

• [13 October 2017]We launch a special section on Recommender Systems with Big Data in Journal of Computer Science and Technology. (Call for Papers).

• [14 August 2017] Welcome to downloading our KDD'17 tutorial "Content-rich recommendation: Integrating Network, Text and Spatial-Temporal Dimensions".

• [6 July 2017] Our article "Joint modeling of user check-in behaviors for real-time point-of-interest recommendation" is selected as 21st Annual Best of Computing by Computing Reviews.

• [28 September 2016] Our paper "Using Detected Visual Objects to Index Video Database" wins the best paper award in the 2016 Australian Database Conference (ADC'16).

• [7 June 2017]ADMA 2017 Call for Paper.

• [27 April 2017]We launch a special issue on Geo-Social Computing in WWWJ. (Call for Papers).

• [23 April 2017]Our paper "Retaining data from streams of social platforms with minimal regret" is accepted by IJCAI 2017.

• [10 April 2017]Our tutorial "Content-rich recommendation: Integrating Network, Text and Spatial-Temporal Dimensions" is accepted by KDD2017.

• [8 Feb 2017]Our tutorial "Recommendation in Context-Rich Environment:An Information Network Analysis Approach" is accepted by WWW2017.

• [29 November 2016]We will hold the 1st International Workshop on Social Computing (IWSC) together with WWW 2017 on the sunny shores of Perth, Western Australia. Call for papers.

• [11 November 2016]Our paper "An Integrated Model for Effective Saliency Prediction" is accepted by AAAI-17.

• [1 November 2016] We receive an ARC Discovery Project Grant (DP 17).

• [26 October 2016] Our CIKM'16 paper "Learning Graph-based POI Embedding for Location-based Recommendation" is ranked as No. 1 in the top liked paper list

• [21 October 2016]Our paper "ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation" is accepted by ACM Transactions on Intelligent Systems and Technology (TIST).

• [28 September 2016] Our paper "Using Detected Visual Objects to Index Video Database" wins the best paper award in the 2016 Australian Database Conference (ADC'16).

• [26 June 2016] Our paper "Adapting to User Interest Drift for POI Recommendation" is accepted by TKDE.

• [9 May 2016] Our scholar book "Spatio-Temporal Recommendation in Social Media" is published by Springer.