Faculty of Science

Research Output

Research output per year 1967 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2022

• 9334 Article
• 1247 Conference contribution
• 341 Review article
• 196 Patent
• 700 More
  • 186 Chapter
  • 164 Editorial
  • 160 Conference article
  • 87 Paper
  • 48 Book or report
  • 21 Letter
  • 11 Preprint
  • 10 Short survey
  • 7 Foreword/postscript
  • 4 Entry for encyclopedia/dictionary
  • 1 Poster
  • 1 Comment/debate

Research output per year

Research output per year

Search results

• 2022

  A Diary Study of Social Explanations for Recommendations in Daily Life

  Zhang, Z., Jin, Y. & Chen, L., 4 Jul 2022, UMAP '22 Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), p. 200–208 9 p. (Adjunct Proceedings of ACM Conference on User Modeling, Adaptation and Personalization).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Recommender systems 100%
  • User experience 49%

• Adversarial Robustness through the Lens of Causality

  ZHANG, Y., Gong, M., Liu, T., Niu, G., Tian, X., Han, B., Scholkopf, B. & Zhang, K., 25 Apr 2022, Proceedings of Tenth International Conference on Learning Representations, ICLR 2022. International Conference on Learning Representations, 20 p.

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Lenses 100%
  • Deep neural networks 47%
  • Machine learning 36%
  • Experiments 17%

• A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning

  Yang, R., Ma, J., Lin, H. & Gao, W., Jul 2022, SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), p. 1761–1772 12 p. (SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in book/report/conference proceeding › Conference contribution

  Open Access

  • Labels 100%
  • Experiments 41%

• Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint

  Liu, H., Chen, M., Er, S., Liao, W., Zhang, T. & Zhao, T., 17 Jul 2022, Proceedings of 39th International Conference on Machine Learning (ICML’22). Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). ML Research Press, p. 13669-13703 35 p. (Proceedings of Machine Learning Research; vol. 162).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Neural networks 100%
  • Approximation theory 82%
  • Image classification 58%
  • Experiments 19%

• Continuous Geo-Social Group Monitoring over Moving Users

  Zhu, H., Liu, W., Yin, J., Wang, M., Xu, J., Huang, X. & Lee, W. C., May 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE, p. 312-324 13 p. (Proceedings of IEEE International Conference on Data Engineering (ICDE)).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Monitoring 100%
  • Query processing 66%
  • Scheduling 20%
  • Planning 18%
  • Experiments 10%

• Contrastive Learning with Boosted Memorization

  Zhou, Z., Yao, J., Wang, Y., Han, B. & Zhang, Y., 17 Jul 2022, Proceedings of 39th International Conference on Machine Learning (ICML’22). Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). ML Research Press, p. 27367-27377 11 p. (Proceedings of Machine Learning Research; vol. 162).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Labels 100%
  • Supervised learning 62%
  • Deep neural networks 57%
  • Experiments 20%

• DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks

  Luo, Z., Xi, Y., Ma, J., Yang, Z., Mao, X., Fan, C. & Zhang, R., 10 Jul 2022, Findings of the Association for Computational Linguistics: NAACL 2022. Association for Computational Linguistics (ACL), p. 1185–1197 13 p.

  Research output: Chapter in book/report/conference proceeding › Conference contribution

  Open Access

  • Masks 100%

• Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning

  Lin, H., Ma, J., Chen, L., Yang, Z., Cheng, M. & Chen, G., 10 Jul 2022, Findings of the Association for Computational Linguistics: NAACL 2022. Association for Computational Linguistics (ACL), p. 2543-2556 14 p.

  Research output: Chapter in book/report/conference proceeding › Conference contribution

  Open Access

  • Experiments 100%

• Device-Cloud Collaborative Recommendation via Meta Controller

  Yao, J., Wang, F., Ding, X., Chen, S., Han, B., Zhou, J. & Yang, H., Aug 2022, KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), p. 4353–4362 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Controllers 100%
  • Machine learning 27%
  • Feedback 23%
  • Industry 16%
  • Experiments 13%

• EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs

  Ying, G., He, X., Gao, B., Han, B. & Chu, X., 12 Jul 2022, (Accepted/In press) European Conference on Computer Vision, ECCV 2022. European Conference on Computer Vision, 16 p.

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Discriminators 100%
  • Sorting 78%
  • Network architecture 75%
  • Graphics processing unit 74%
  • Evolutionary algorithms 73%

• Exploiting Class Activation Vector for Partial-Label Learning

  Zhang, F., Feng, L., Han, B., Liu, T., Niu, G., Qin, T. & Sugiyama, M., 25 Apr 2022, Proceedings of Tenth International Conference on Learning Representations, ICLR 2022. International Conference on Learning Representations, 17 p.

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Chemical activation 100%
  • Labels 94%
  • Deep neural networks 10%
  • Convolutional neural networks 10%

• Fair Classification with Instance-dependent Label Noise

  Wu, S., Gong, M., Han, B., Liu, Y. & Liu, T., Apr 2022, Proceedings of 1st Conference on Causal Learning and Reasoning, CLeaR 2022. Schölkopf, B., Uhler, C. & Zhang, K. (eds.). Conference on Causal Learning and Reasoning, Vol. 140. p. 1-17 17 p. (Proceedings of Machine Learning Research; vol. 177).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Labels 100%
  • Classifiers 41%
  • Crowdsourcing 34%
  • Learning systems 30%
  • Machine learning 21%

• Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack

  Gao, R., Wang, J., Zhou, K., Liu, F., Xie, B., Niu, G., Han, B. & Cheng, J., 17 Jul 2022, Proceedings of 39th International Conference on Machine Learning (ICML 2022). Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). ML Research Press, p. 7144-7163 20 p. (Proceedings of Machine Learning Research; vol. 162).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Costs 100%
  • Computational efficiency 84%
  • Experiments 31%

• HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference

  Yuan, M., Liu, Q., Wang, G. & Guo, Y., 1 Jan 2022, Artificial Intelligence: First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5–6, 2021, Proceedings, Part I. Fang, L., Chen, Y., Zhai, G., Wang, J., Wang, R. & Dong, W. (eds.). 1st ed. Springer, Cham, p. 747-758 12 p. (Lecture Notes in Computer Science; vol. 13069)(Lecture Notes in Artificial Intelligence)(CICAI: CAAI International Conference on Artificial Intelligence).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Cloud Model 100%
  • Heterogeneous Networks 80%
  • Heterogeneous networks 53%
  • Training 21%
  • Learning 18%

• Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems

  Cai, W., Jin, Y. & Chen, L., Apr 2022, CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 14 p. 489. (Proceedings of the CHI Conference on Human Factors in Computing Systems).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Recommender systems 100%
  • Communication 25%

• Improving Personalized Explanation Generation through Visualization

  Geng, S., Fu, Z., Ge, Y., Li, L., Melo, G. D. & Zhang, Y., May 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics (ACL), p. 244-255 12 p.

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Visualization 100%
  • Recommender systems 32%

• IPS: Instance Profile for Shapelet Discovery for Time Series Classification

  Li, G., Choi, B. K. K., Xu, J., Bhowmick, S. S., Mah, D. N. & Wong, G. L. H., May 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE, p. 1781-1793 13 p. (Proceedings of IEEE International Conference on Data Engineering (ICDE)).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Time series 100%
  • Anomaly detection 20%
  • Experiments 13%

• LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases

  Peng, Y., Choi, B. K. K., Chan, T. N. & Xu, J., May 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE, p. 2508-2521 14 p. (Proceedings of IEEE International Conference on Data Engineering (ICDE)).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Graph Databases 100%
  • Nearest neighbor search 94%
  • Local area networks 70%
  • Bioinformatics 15%
  • Routing algorithms 14%

• Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment

  Li, M., Cheung, Y. M. & Lu, Y., Jun 2022, (E-pub ahead of print) Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE, p. 6929-6938 10 p. (Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Entropy 100%
  • Classifiers 84%
  • Spatial distribution 65%
  • Deep neural networks 57%
  • Sampling 41%

• Low-Light Image Enhancement with Normalizing Flow

  Wang, Y., Wan, R., Yang, W., Li, H., Chau, L-P. & Kot, A. C., Feb 2022, 36th AAAI Conference on Artificial Intelligence, Acceptd Papers. AAAI press, 9 p. 1489

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Image enhancement 100%
  • Gaussian distribution 49%
  • Luminance 42%
  • Lighting 35%
  • Pixels 33%

• Meta Discovery: Learning to Discover Novel Classes given Very Limited Data

  Chi, H., Liu, F., Han, B., Yang, W., Lan, L., Liu, T., Niu, G., Zhou, M. & Sugiyama, M., 25 Apr 2022, Proceedings of Tenth International Conference on Learning Representations, ICLR 2022. International Conference on Learning Representations, p. 1-20 20 p.

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Labeled data 100%
  • Labeling 83%
  • Labels 72%
  • Learning algorithms 70%
  • Sampling 59%

• Modeling Adversarial Noise for Adversarial Training

  Zhou, D., Wang, N., Han, B. & Liu, T., 17 Jul 2022, Proceedings of 39th International Conference on Machine Learning (ICML 2022). Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). ML Research Press, p. 27353-27366 14 p. (Proceedings of Machine Learning Research; vol. 162).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Labels 100%
  • Deep neural networks 19%

• NEX+: Novel View Synthesis with Neural Rregularisation over Multi-Plane Images

  Xing, W. & Chen, J., 23 May 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 1581-1585 5 p. (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Signal denoising 100%
  • Geometry 43%

• PAW: Data Partitioning Meets Workload Variance

  Li, Z., Yiu, M. L. & Chan, T. N., May 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE, p. 123-135 13 p. (Proceedings of IEEE International Conference on Data Engineering (ICDE)).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Availability 100%

• Reliable Adversarial Distillation with Unreliable Teachers

  Zhu, J., Yao, J., Han, B., Zhang, J., Liu, T., Niu, G., Zhou, J., XU, J. & Yang, H., 25 Apr 2022, Proceedings of Tenth International Conference on Learning Representations, ICLR 2022. International Conference on Learning Representations, 15 p.

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • teacher 100%
  • student 39%
  • supervision 22%
  • experiment 15%

• Robust Weight Perturbation for Adversarial Training

  Yu, C., Han, B., Gong, M., Shen, L., Ge, S., Bo, D. & Liu, T., 23 Jul 2022, Proceedings of 31th International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. (ed.). International Joint Conferences on Artificial Intelligence, p. 3688-3694 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Experiments 100%

• SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization

  Chan, T. N., U, L. H., Choi, B. K. K. & Xu, J., Jun 2022, SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery (ACM), p. 2120–2134 15 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Visualization 100%
  • Crime 25%
  • Highway accidents 23%
  • Large dataset 23%
  • Experiments 7%

• Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

  Chen, Y., Yang, H., Zhang, Y., Ma, K., Liu, T., Han, B. & Cheng, J., 25 Apr 2022, Proceedings of Tenth International Conference on Learning Representations, ICLR 2022. International Conference on Learning Representations, p. 1-42 42 p.

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Neural networks 100%
  • Experiments 29%

• Understanding Robust Overfitting of Adversarial Training and Beyond

  Yu, C., Han, B., Shen, L., Yu, J., Gong, C., Gong, M. & Liu, T., 17 Jul 2022, Proceedings of 39th International Conference on Machine Learning (ICML 2022). Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). ML Research Press, p. 25595-25610 16 p. (Proceedings of Machine Learning Research; vol. 162).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Ablation 100%
  • Experiments 28%

• vChain+: Optimising Verifiable Blockchain Boolean Range Queries

  Wang, H., Xu, C., Zhang, C., Xu, J., Peng, Z. & Pei, J., May 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE, p. 1927-1940 14 p. (Proceedings of IEEE International Conference on Data Engineering (ICDE)).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Blockchain 100%
  • Cryptocurrency 30%
  • Query processing 23%
  11 Downloads (Pure)

• Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning

  Tang, Z., Zhang, Y., Shi, S., He, X., Han, B. & Chu, X., 17 Jul 2022, Proceedings of 39th International Conference on Machine Learning (ICML 2022). Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). ML Research Press, p. 21111-21132 22 p. (Proceedings of Machine Learning Research; vol. 162).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access
• 2021

  A bi-level formulation for label noise learning with spectral cluster discovery

  Luo, Y., HAN, B. & Gong, C., Jan 2021, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 2605-2611 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Labels 100%
  • Classifiers 66%

• A generic ontology framework for indexing keyword search on massive graphs (extended abstract)

  Jiang, J., Choi, B., Xu, J. & Bhowmick, S. S., Apr 2021, Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021. IEEE, p. 2338-2339 2 p. (Proceedings of IEEE International Conference on Data Engineering (ICDE); vol. 2021-April).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Ontology 100%
  • Semantics 40%

• A Multi-Stage Progressive Learning Strategy for COVID-19 Diagnosis using Chest Computed Tomography with Imbalanced Data

  Yang, Z., Hou, Y., Chen, Z., Zhang, L. & Chen, J., Jun 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 8578-8582 5 p. (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Tomography 100%
  • Masks 49%
  • Classifiers 36%

• A Scoring Model Assisted by Frequency for Multi-Document Summarization

  YU, Y., Wu, M., Su, W. & CHEUNG, Y., 7 Sep 2021, Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V. Farkaš, I., Masulli, P., Otte, S. & Wermter, S. (eds.). 1st ed. Springer, Cham, p. 309-320 12 p. (Lecture Notes in Computer Science; vol. 12895)(Theoretical Computer Science and General Issues ; vol. 12895)(ICANN: International Conference on Artificial Neural Networks).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Gold 100%

• A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels

  Lyu, F., Yang, B., Ma, A. J. & Yuen, P. C., 21 Sep 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part V. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). 1st ed. Springer, Cham, p. 117–127 11 p. (Lecture Notes in Computer Science; vol. 12905)(Image Processing, Computer Vision, Pattern Recognition, and Graphics; vol. 12905).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Labels 100%
  • Detectors 91%
  • Superpixels 51%
  • Deep neural networks 38%
  • Tuning 30%

• Attention-based multi-level feature fusion for named entity recognition

  Yang, Z., Chen, H., Zhang, J., Ma, J. & Chang, Y., Jan 2021, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 3594-3600 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

  Research output: Chapter in book/report/conference proceeding › Conference contribution

  Open Access

  • Fusion reactions 100%
  • Syntactics 42%
  • Labeling 40%
  • Semantics 28%
  1 Citation (Scopus)

• Authenticated key-value stores with hardware enclaves

  Li, K., Tang, Y., Zhang, Q., Xu, J. & Chen, J., 6 Dec 2021, Middleware 2021 - Proceedings of the 22nd International Middleware Conference: Industrial Track. Association for Computing Machinery (ACM), p. 1-8 8 p. (Proceedings of International Middleware Conference).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Data storage equipment 100%
  • Computer hardware 96%
  • Data structures 90%
  • Cryptocurrency 78%
  • Network protocols 74%

• Authenticated keyword search in scalable hybrid-storage blockchains

  Zhang, C., Xu, C., Wang, H., Xu, J. & Choi, B., Apr 2021, Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021. IEEE, p. 996-1007 12 p. (Proceedings of IEEE International Conference on Data Engineering (ICDE); vol. 2021-April).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Blockchain 100%
  • Data structures 70%
  • Ethereum 31%
  • Query processing 23%
  • Metadata 21%
  3 Citations (Scopus)

• Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans

  He, X., Wang, S., Chu, X., Shi, S., Tang, J., Liu, X., Yan, C., Zhang, J. & Ding, G., 18 May 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI press, p. 4821-4829 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 35, no. 6)(AAAI-21/ IAAI-21/ EAAI-21 Proceedings).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Computerized tomography 100%
  • Benchmarking 84%
  • Deep learning 72%

• Besov function approximation and binary classification on low-dimensional manifolds using convolutional residual networks

  Liu, H., Chen, M., Zhao, T. & Liao, W., 18 Jul 2021, Proceedings of the 38th International Conference on Machine Learning (ICML 2021). Meila, M. & Zhang, T. (eds.). ML Research Press, p. 6770-6780 11 p. (Proceedings of Machine Learning Research; vol. 139).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Deep neural networks 100%
  • Network architecture 96%
  • Logistics 93%
  • Deep learning 92%
  • Classifiers 72%

• Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach

  Sun, X., Huang, X., Sun, Z. & Jin, D., 26 Oct 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 1754-1763 10 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Graph 100%
  • NP-hardness 30%
  • Greedy Algorithm 30%
  • Pruning 29%
  • Newcomers 24%

• BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing

  PENG, Z., Huang, J., Wang, H., Wang, S., CHU, X., ZHANG, X., CHEN, L., HUANG, X., Fu, X., GUO, Y-K. & XU, J., 6 Apr 2021, Database Systems for Advanced Applications: DASFAA 2021 International Workshops - BDQM, GDMA, MLDLDSA, MobiSocial and MUST, Taipei, Taiwan, April 11–14, 2021, Proceedings. Jensen, C. S., Lim, E-P., Yang, D-N., Lee, W-C., Tseng, V. S., Kalogeraki, V., Huang, J-W. & Shen, C-Y. (eds.). Springer, Cham, p. 381-397 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12680 LNCS).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Mobile Systems 100%
  • Privacy Preserving 93%
  • Tracing 73%
  • Contact 50%
  • Trace 48%

• Causal System Identification based Compensation for Reverberation-Robust DOA Estimation

  He, L. & Xue, W., 23 Aug 2021, 2021 29th European Signal Processing Conference (EUSIPCO). Dublin, Ireland: IEEE, p. 1885-1889 5 p. (Proceedings of European Signal Processing Conference (EUSIPCO)).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Reverberation 100%
  • Direction of arrival 89%
  • Identification (control systems) 71%
  • Compensation and Redress 61%
  • Microphones 28%

• Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters

  Lan, W. & Lan, L., 18 May 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI press, p. 8235-8242 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 35, no. 9)(AAAI-21/ IAAI-21/ EAAI-21 Proceedings).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Convolution 100%
  • Deep neural networks 98%
  • Convolutional neural networks 92%
  • Data storage equipment 22%
  • Set theory 11%

• Confidence Scores Make Instance-dependent Label-noise Learning Possible

  Berthon, A., Han, B., Niu, G., Liu, T. & Sugiyama, M., 18 Jul 2021, Proceedings of the 38th International Conference on Machine Learning (ICML 2021). Meila, M. & Zhang, T. (eds.). ML Research Press, p. 825-836 12 p. (Proceedings of Machine Learning Research; vol. 139).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Labels 100%
  • Experiments 8%

• Confusable Learning for Large-Class Few-Shot Classification

  Li, B., Han, B., Wang, Z., Jiang, J. & Long, G., 25 Feb 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 707-723 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12458 LNAI).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Fungi 100%
  • Image classification 77%
  • Learning 66%
  • Learning algorithms 60%
  • Experiments 25%

• Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data

  Tan, Q., Ye, M., Wong, G. L. H. & Yuen, P. C., Aug 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 1586-1592 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Time series 100%
  • Health 84%
  • Sampling 54%
  • Fusion reactions 30%

• Critiquing for Music Exploration in Conversational Recommender Systems

  Cai, W., Jin, Y. & Chen, L., 14 Apr 2021, 26th International Conference on Intelligent User Interfaces, IUI 2021. Association for Computing Machinery (ACM), p. 480-490 11 p. (International Conference on Intelligent User Interfaces, Proceedings IUI).

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Recommender systems 100%
  • Feedback 63%

• Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval

  He, Y., Liu, X., Cheung, Y., Peng, S-J., Yi, J. & Fan, W., 11 Jul 2021, SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), p. 1865-1869 5 p.

  Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  Open Access

  • Semantics 100%
  • Experiments 8%