Ho-fung Leung
Publications
Books
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HAO,
J. Y. and LEUNG, H. F., 2016. Interactions in Multiagent Systems: Fairness,
Social Optimality and Individual Rationality. Higher Education Press /
Springer. [ doi:10.1007/978-3-662-49470-7 ]
[ Book Homepage at Springer ] |
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CHAN,
C. K. and LEUNG, H. F., 2013. Belief-based Stability in Coalition Formation
with Uncertainty: An Intelligent Agents’ Perspective. Higher Education Press
/ Springer. [ Book Homepage at Higher Education
Press ] [ Online version from HEP Frontiers
Online ] |
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CAI,
Y., AU YEUNG, C. M. and LEUNG, H. F., 2012. Fuzzy Computational Ontologies in
Contexts: Formal Models of Knowledge Representation with Membership Degree
and Typicality of Objects, and Their Applications. Higher Education Press /
Springer. [ doi:10.1007/978-3-642-25456-7 ][ Book Homepage at Higher Education
Press ] [ Online version from HEP Frontiers
Online ] [ Book Homepage at Springer ] |
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MA, H.
Y. and LEUNG, H. F., 2008. Bidding Strategies in Agent-Based Continuous
Double Auctions, Whitestein Series in Software
Agent Technologies and Autonomic Computing. Springer Basel. [ doi:10.1007/978-3-7643-8730-3 ] [ Book Homepage at Birkhäuser ] |
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LEUNG,
H. F., 1993. Distributed Constraint Logic Programming, volume 41 of World Scientific Series in Computer Science.
World Scientific. [ doi:10.1142/2079 ]
[ Book Homepage at World Scientific ] |
Edited Books /
Proceedings
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HAO,
J. Y. and LEUNG, H. F., eds., 2018. Interactions in Multiagent Systems.
World Scientific. [ doi:10.1142/10414 ][ Book
Homepage at World Scientific ] |
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SASAKI,
H., CHIU, D. K. W., KAPETANIOS, E., HUNG, P. C. K.,
ANDRES, F., LEUNG, H. F. and CHBEIR, R., eds.,
2012. Intelligent and Knowledge-Based Computing for Business and
Organizational Advancements. Hershey PA: Information Science Reference.
[ doi:10.4018/978-1-4666-1577-9 ][ Book
Homepage at IGI Global ] |
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CHIU,
D. K. W., BELLATRECHE, L., SASAKI, H., LEUNG, H.
F., CHEUNG, S. C., HU, H. Y. and SHAO, J., eds., 2011. Web Information
Systems Engineering – WISE 2010 Workshops: WISE 2010 International Symposium
WISS, and International Workshops CISE, MBC, Lecture Notes in Computer
Science, Volume 6724. Hong Kong, China, 12 December,
2010. Springer Berlin / Heidelberg. [ doi:10.1007/978-3-642-24396-7 ][ Book Homepage at Springer ] |
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LEUNG,
H. F., CHIU, D. K. W. and HUNG, P. C. K., eds., 2011. Service Intelligence
and Service Science: Evolutionary Technologies and Challenges. Hershey
PA: Information Science Reference. [ doi:10.4018/978-1-61520-819-7 ][ Book
Homepage at IGI Global ] |
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CHOREN, R.,
GARCIA, A., GIESE, H., LEUNG, H. F., LUCENA, C. and ROMANOVSKY, A., eds.,
2007. Software Engineering for Multi-Agent Systems V – Research Issues and
Practical Applications, Lecture Notes in Computer Science, Volume 4408.
Springer Berlin / Heidelberg. [ doi:10.1007/978-3-540-73131-3 ][ Book Homepage at Springer ] |
Papers
2025
· AHMAD, N., LEUNG, H. F. and FARNIA, F., 2025. VirtualHAR: Virtual Sensing Device and Correlation-Based Learning Approach for
Multi-Wearable Sensing Device-Based Human Activity Recognition. IEEE
Internet Things J. IEEE.
· HU, X. Y., LEUNG, H. F. and FARNIA, F., 2025. An
Optimism-based Approach to Online Evaluation of Generative Models. In: Proceedings
of the 28th International Conference on Artificial Intelligence and
Statistics, AISTATS 2025, Proceedings of Machine
Learning Research. Phuket, Thailand, 3–5 May 2025. PMLR.
· LI, M. Z., YANG, C. H., XU, C. J.,
JIANG, X. H., QI, Y. Y., GUO, J., LEUNG, H. F. and KING, I., 2025. Retrieval,
Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph
Completion. In: Proceedings of the 2025 Conference of the North
American Chapter of the Association for Computational Linguistics: Human
Language Technologies, NAACL 2025, Albuquerque, USA, 29 April – 4 May 2025. ACL.
· LI, M. Z., YANG, C. H., XU, C.
J., SONG, Z. X., JIANG, X. H., GUO, J., LEUNG, H. F. and KING, I., 2025.
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints
and Subgraph Reasoning. In: Proceedings of the AAAI Conference on Artificial
Intelligence, 39. Philadelphia, USA, 25 February – 4 March 2025. AAAI
Press.
· HU, X. Y., FARNIA, F. and
LEUNG, H. F., 2024. An Information Theoretic Approach to Interaction-Grounded
Learning. In: R. SALAKHUTDINOV, Z. KOLTER, K. HELLER,
A. WELLER, N. OLIVER, J. SCARLETT and F. BERKENKAMP,
Eds., Proceedings of the 41st International Conference on Machine Learning, ICML 2024, Proceedings of Machine Learning Research, volume
235. Vienna, Austria, 21 – 27 July 2024. PMLR, Volume
235, 19198–19215. [ Online article provided by PMLR ]
· LI, M. Z., HU, M. D., KING, I. and
LEUNG, H. F., 2024. The Integration of Semantic and Structural Knowledge in
Knowledge Graph Entity Typing. In: K. DUH, H. GOMEZ and S. BETHARD, Eds, Proceedings
of the 2024
Conference of the North American Chapter of the Association for Computational
Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL
2024, Mexico City, Mexico, 16 – 21 June 2024. ACL, 6625–6638. [ doi:10.18653/v1/2024.naacl-long.369 ]
· WU, X.,
CAI, Y. and LEUNG, H. F., 2024. Abstract-level Deductive Reasoning for
Pre-trained Language Models. In: N. CALZOLARI, M.
KAN, V. HOSTE, A. LENCI, S. SAKTI and N. XUE, Eds., Proceedings of the 2024
Joint International Conference on Computational Linguistics, Language Resources
and Evaluation, LREC-COLING 2024, Torino, Italy,
20 – 25 May 2024. ELRA and ICCL, 70–76. [ Online article provided by ACL Anthology ]
· ZHAO, Y.
L., ZHAN, W. H., HU, X. Y., LEUNG, H. F., FARNIA, F., SUN, W. and LEE, J.,
2024. Provably Efficient CVaR RL in Low-rank MDPs. In: The Twelfth International Conference on
Learning Representations, ICLR 2024, Vienna,
Austria, 7 – 11 May 2024. OpenReview.net. [ Online article provided by OpenReview.net ] Also appears in NeurIPS 2023 Workshop on Mathematics of
Modern Machine Learning (M3L). New Orleans, USA, 16 December, 2023.
[ Online article provided by M3L ]
· LEUNG,
C. W., HU, S. Y. and LEUNG, H. F., 2024. The Stochastic Evolutionary Dynamics
of Softmax Policy
Gradient in Games. In: N. ALECHINA, V. DIGNUM, M. DASTANI and J.S. SICHMAN, Eds., Proceedings
of the 23rd International Conference on Autonomous Agents and MultiAgent Systems, AAMAS ’24, Auckland, New Zealand, 6 – 10 May 2024. IFAAMAS, 1101–1109. [ Online article provided by ACM ]
· ZENG, Y. S.,
WANG, G. H., REN, H. P., CAI, Y., LEUNG, H. F., LI, Q. and HUANG, Q. B., 2024. A Knowledge-Enhanced and Topic-Guided Domain Adaptation Model for
Aspect-based Sentiment Analysis. IEEE Trans. Affect. Comput., 15(2). IEEE, 709–721. [ doi:10.1109/TAFFC.2023.3292213 ]
· AHMAD, N. and
LEUNG, H. F., 2024. HyperHAR:
Inter-sensing Device Bilateral Correlations and Hyper-correlations Learning
Approach for Wearable Sensing Device Based Human Activity Recognition. Proc. ACM
Interact. Mob. Wearable Ubiquitous Technol., 8(1). ACM, 1–29. [ doi:10.1145/3643511 ]
· XU, J. Y., XIE, J. Y., CAI, Y., LIN, Z. H., LEUNG,
H. F., LI, Q. and CHUA, T. S., 2024. Context-Aware Dynamic Word Embeddings for
Aspect Term Extraction. IEEE Trans. Affect. Comput.,
15(1). IEEE, 144–156. [ doi:10.1109/TAFFC.2023.3262941 ]
2023
· HU, X.
Y. and LEUNG, H. F., 2023. Provably (More) Sample-Efficient Offline RL with Options. In: A. OH, T. NEUMANN, A. GLOBERSON, K. SAENKO, M. HARDT
and S. LEVINE, Eds., Advances in Neural Information Processing Systems, volume 36 (NeurIPS 2023), New Orleans, USA,
10–16 December, 2023. Curran Associates, 68784–68797. [ Electronic version provided by
NeurIPS ]
· HU, X. Y. and LEUNG,
H. F., 2023. Provably Efficient Offline RL with
Options (Extended Abstract). In: Proceedings of the 22nd International
Conference on Autonomous Agents and MultiAgent
Systems, AAMAS ’23, London, United Kingdom, 29 May–2 June 2023. IFAAMS, 2592–2594. [ Online article provided by ACM ]
· REN, H. P.,
CAI, Y., LAU, R., LEUNG, H. F. and LI, Q., 2023. Granularity-aware Area
Prototypical Network with Bimargin Loss for Few Shot Relation Classification. IEEE Trans. Knowl. Data Eng., 35(5). IEEE, 4852–4866. [ doi:10.1109/TKDE.2022.3147455 ]
· HU, X. Y. and
LEUNG, H. F., 2023. A Tighter Problem-Dependent Regret Bound for Risk-Sensitive
Reinforcement Learning. In: F. RUIZ, J. DY, and J. van de MEENT, Eds., Proceedings
of the 26th International Conference on Artificial Intelligence and
Statistics, AISTATS 2023, Proceedings of Machine
Learning Research, volume 206. Valencia, Spain, 25–27 April 2023. PMLR, Volume 206, 5411–5437. [ Online article provided by PMLR ]
· WU, X., CAI,
Y., LIAN, Z. T., LEUNG, H. F. and WANG, T., 2023. Generating Natural Language
from Logic Expressions with Structural Representation. IEEE/ACM Trans. Audio
Speech Lang. Process., 31. IEEE, 1499–1510. [ doi:10.1109/TASLP.2023.3263784 ]
· AHMAD, N. and
LEUNG, H. F., 2023. ALAE-TAE-CutMix+: Beyond the State-of-the-Art for Human
Activity Recognition Using Wearable Sensors. In: 2023 IEEE International
Conference on Pervasive Computing and Communications (PerCom),
Atlanta, USA, 13–17 March 2023. IEEE, 222–231. [ doi:10.1109/PERCOM56429.2023.10099138 ]
2022
· ZHU, C. X.,
CAI, Y., HU, S. Y., LEUNG, H. F. and CHIU, D. K. W., 2022. Learning by Reusing Previous
Advice: A Memory-Based Teacher-Student Framework. Auton. Agents Multi-Agent
Syst., 37(1). Springer US, Article 14. [ doi:10.1007/s10458-022-09595-1 ]
· REN, H. P.,
CAI, Y., ZENG, Y. S., YE, J. H., LEUNG, H. F. and LI, Q., 2022. Aspect-Opinion
Correlation Aware and Knowledge-Expansion Few Shot Cross-Domain Sentiment
Classification. IEEE Trans. Affect. Comput.,
13(4). IEEE, 1691–1704. [ doi:10.1109/TAFFC.2022.3205358 ]
· LEUNG, C. W.,
HU, S. Y. and LEUNG, H. F., 2022. Modelling
the Dynamics of Multi-Agent Q-Learning: The Stochastic Effects of Local
Interaction and Incomplete Information. In: L. De RAEDT,
Ed., Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, IJCAI-22, Vienna, Austria, 23–29 July 2022. IJCAI
Organization, 384–390. [ doi:10.24963/ijcai.2022/55 ]
· OUYANG, N. L.,
HUANG, Q. B., LI, P. J., CAI, Y., LIU, B. LEUNG, H. F. and LI, Q., 2022.
Suppressing Biased Samples for Robust VQA. IEEE Trans. Multimedia., 24.
IEEE, 3405–3415. [ doi:10.1109/TMM.2021.3097502 ]
· HU, S. Y.,
LEUNG, C. W., LEUNG, H. F. and SOH, H., 2022. The Dynamics of Q-learning in Population Games: a
Physics-inspired Continuity Equation Model. In: Proceedings of the 21st
International Conference on Autonomous Agents and Multiagent Systems,
Virtual Event, New Zealand, 9–13 May 2022. IFAAMAS,
615–623. [ Online article provided by IFAAMAS ][ Online article in ACM Digital Library ]
· CHEN, X. F.,
WANG, G. H., REN, H. P., CAI, Y., LEUNG, H. F. and WANG, T., 2022.
Task-adaptive Feature Fusion for Generalized Few-shot Relation Classification
in an Open World Environment. IEEE/ACM Trans. Audio Speech Lang. Process.,
30. IEEE, 1003–1015. [ doi:10.1109/TASLP.2022.3153254 ]
2021
· LEUNG, C. W.,
HU, S. Y. and LEUNG, H. F., 2021. Formal Modeling of
Reinforcement Learning with Many Agents through Repeated Local Interactions.
In: 2021 IEEE 33rd International Conference on Tools with Artificial
Intelligence (ICTAI), Virtual Event, 1–3 November
2021. Los Alamitos: IEEE Computer Society, 714–718. [ doi:10.1109/ICTAI52525.2021.00113 ]
· JIANG, D.,
REN, H. P., CAI, Y., XU, J. Y., LIU, Y. X. and LEUNG, H. F., 2021. Candidate
Region Aware Nested Named Entity Recognition. Neural Netw.,
142. Elsevier, 340–350. [ doi:10.1016/j.neunet.2021.02.019 ]
· HUANG, Q. B.,
HUANG, C., MO, L. Z., WEI, J. L., CAI, Y., LEUNG, H. F. and LI, Q., 2021. IgSEG: Image-guided Story Ending Generation. Findings of
the Association for Computational Linguistics: ACL-IJCNLP
2021, Bangkok, Thailand, 1-6 August 2021. ACL, 3114–3123. [ doi:10.18653/v1/2021.findings-acl.274 ]
· WANG, T., CAI,
Y., LEUNG, H. F., LAU, R. Y. K., XIE, H. R. and LI, Q., 2021. On Entropy-based
Term Weighting Schemes for Text Categorization. Knowl.
Inf. Syst., 63(9). Springer, 2313–2346. [ doi:10.1007/s10115-021-01581-5 ]
· HUANG, Q. B.,
LIANG, Y., WEI, J. L., CAI, Y., LIANG, H. Y., LEUNG, H. F. and LI, Q., 2021.
Image Difference Captioning with Instance-Level Fine-Grained Feature
Representation. IEEE Trans. Multimedia, 24. IEEE, 2004 – 2017. [ doi:10.1109/TMM.2021.3074803 ]
· HU, S. Y.,
LEUNG, C. W., LEUNG, H. F. and LIU, J. M., 2021. Gist Trace-based Learning:
Efficient Convention Emergence from Multilateral Interactions. ACM Trans.
Auton. Adap. Syst., 16(1). ACM, Article 2.
[ doi:10.1145/3502199 ]
· HUANG, Q. B.,
FU, M. Y., MO, L. Z, CAI, Y., XU, J. Y., LI, P. J., LI, Q. and LEUNG, H. F.,
2021. Entity Guided Question Generation with Contextual Structure and Sequence
Information Capturing. In: Proceedings of the AAAI Conference on Artificial
Intelligence, 35(14). A Virtual Conference, 2–9 February 2021. AAAI Press,
13064–13072. [ doi:10.1609/aaai.v35i14.17544 ]
· HUANG, Q. B.,
MO, L. Z, LI, P. J., CAI, Y., LIU, Q. G., WEI, J. L., LI, Q. and LEUNG, H. F.,
2021. Story Ending Generation with Multi-Level Graph Convolutional Networks
over Dependency Tree. In: Proceedings of the AAAI Conference on Artificial
Intelligence, 35(14). A Virtual Conference, 2–9 February 2021. AAAI Press,
13073–13081. [ doi:10.1609/aaai.v35i14.17545 ]
· LEUNG, C. W,
HU, S. Y. and LEUNG, H. F., 2021. Self-Play or Group Practice: Learning to Play Alternating Markov Game in
Multi-Agent System. In: Proceedings of the 25th International Conference on Pattern
Recognition, ICPR 2020. Milan, Italy, 10–15
January 2021. IEEE, 714–718. [ doi:10.1109/ICPR48806.2021.9412176 ]
2020
· WU, Z. W.,
ZHENG, C. M., CAI, Y., CHEN, J. Y., LEUNG, H. F. and LI, Q., 2020. Multimodal Representation with Embedded Visual
Guiding Objects for Named Entity Recognition in Social Media Posts. In: Proceedings
of the 28th ACM International Conference on Multimedia, MM ’20. Seattle,
USA, 12–16 October 2020. ACM, 1038–1046. [ doi:10.1145/3394171.3413650 ]
· LIU, M. Z.,
LEUNG, H. F. and HAO, J. Y., 2020. Faster Convention Emergence by Avoiding
Local Conventions in Reinforcement Social Learning. In: L. RUTKOWSKI, R.
SCHERER, M. KORYTKOWSKI, W. PEDRYCZ, R. TADEUSIEWICZ, J. M. ZURADA, eds.,
Artificial Intelligence and Soft Computing, ICAISC
2020, Lectures Notes in Artificial Intelligence, volume 12415. Online, 11–15 October 2020. Springer, Cham, 690–701. [ doi:10.1007/978-3-030-61401-0_64 ]
· WANG, Y. L.,
YANG, G. Y., BRACCIALI, A., LEUNG, H. F., TIAN, H.
B., KE, L. S. and YU, X. M., 2020. Incentive Compatible and Anti-Compounding of
Wealth in Proof-of-Stake. Inf. Sci., 530. Elsevier, 85–94. [ doi:10.1016/j.ins.2020.03.098 ]
· HUANG, Q. B.,
WEI, J. L., CAI, Y., ZHENG, C. M., CHEN, J. Y., LEUNG, H. F. and LI, Q., 2020.
Aligned Dual Channel Graph Convolutional Network for Visual Question Answering.
In: Proceedings of the 58th Annual Meeting of the Association for
Computational Linguistics, ACL 2020. Seattle, USA, 5–10 July 2020. ACL,
7166–7176. [ doi:10.18653/v1/2020.acl-main.642 ]
· WU, X., CAI,
Y., LI, Q., XU, J. Y. and LEUNG, H. F., 2020. Combining Weighted Category-Aware
Contextual Information in Convolutional Neural Networks for Text
Classification. World Wide Web, Special Issue on Web Information Systems
Engineering 2018. Springer. [ doi:10.1007/s11280-019-00757-y ]
· ZHU, C. X.,
LEUNG, H. F., HU, S. Y. and CAI, Y., 2020. A Q-values Sharing Framework for
Multiagent Reinforcement Learning under Budget Constraint. ACM Trans. Auton.
Adap. Syst., 15(2). ACM, Article 4. [ doi:10.1145/3447268 ]
· ZHU, C. X.,
CAI, Y., LEUNG, H. F. and HU, S. Y., 2020. Learning by Reusing Previous Advice
in Teacher-Student Paradigm. In: AAMAS '20: Proceedings of the 19th
International Conference on Autonomous Agents and MultiAgent
Systems, Auckland, New Zealand, 11–13 May 2020. IFAAMS,
1674–1682. [ Online article in ACM Digital Library ]
· XU, J. Y.,
CAI, Y., WU, X., LEI, X., HUANG, Q. B., LEUNG, H. F. and LI, Q., 2020.
Incorporating Context-Relevant Concepts into Convolutional Neural Networks for
Short Text Classification. Neurocomputing, 386. Elsevier, 42–53. [ doi:10.1016/j.neucom.2019.08.080 ]
· TAN, X. W,
CAI, Y., XU, J. Y., LEUNG, H. F., CHEN, W. H. and LI, Q., 2020. Improving
Aspect-Based Sentiment Analysis Via Aligning Aspect Embedding. Neurocomputing,
383. Elsevier, 336–347. [ doi:10.1016/j.neucom.2019.12.035 ]
2019
· HU, S. Y.,
LEUNG, C. W. and LEUNG, H. F., 2019. Modelling the Dynamics of Multiagent
Q-Learning in Repeated Symmetric Games: a Mean Field
Theoretic Approach. In: H. WALLACH, H. LAROCHELLE, A. BEYGELZIMER,
F. d'ALCHÉ-BUC, E. FOX and R. GARNETT, Eds., Advances
in Neural Information Processing Systems 32 (NeurIPS
2019), Vancouver, Canada, 10–12 December 2019. Curran Associates,
12102–12112. [ Electronic
version provided by NeurIPS ]
· WANG, X., JI,
S. J., LIANG, Y. Q., LEUNG, H. F. and CHIU, D. K. W., 2019. An Unsupervised
Strategy for Defending Against Multifarious Reputation Attacks. Appl. Intell., 49(12). Springer, 4189–4210. [ doi:10.1007/s10489-019-01490-9 ]
· ZHENG, C. M.,
CAI, Y., XU, J. Y., LEUNG, H. F. and XU, G. D., 2019. A Boundary-Aware Neural
Model for Nested Named Entity Recognition. In: Proceedings of the 2019
Conference on Empirical Methods in Natural Language Processing and the 9th
International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, 3–7 November 2019.
Association for Computational Linguistics, 357–366. [ doi:10.18653/v1/D19-1034 ]
· REN, D., CAI,
Y., LEI, X., XU, J. Y., LI, Q. and LEUNG, H. F., 2019. A Multi-Encoder Neural
Conversation Model. Neurocomputing, 358. Elsevier, 344–354. [ doi:10.1016/j.neucom.2019.05.071 ]
· WANG, L., LV,
P., LIU, L. B., HAN, J., LEUNG, H. F., WANG, X. H., YIN, S. Y., WEI, S. J. and
MAK, T., 2018. A Lifetime Reliability-Constrained Runtime Mapping for
Throughput Optimization in Many-Core Systems. IEEE Trans. Comput.-Aided
Design Integr. Circuits Syst., 38(9). IEEE,
1771–1784. [ doi:10.1109/TCAD.2018.2855168 ]
· LEUNG, C. W.,
HU, S. Y. and LEUNG, H. F., 2019. Modeling Convention
Emergence by Observation with Memorization. In: A. NAYAK and A. SHARMA, eds., PRICAI 2019: Trends in Artificial Intelligence,
38(9). Lecture Notes in Computer Science, volume 11670. Yanuca
Island, Fiji, 26–30 August 2019. Springer, Cham, 733–745. [ doi:10.1007/978-3-030-29908-8_57 ]
· YANG, K., CAI,
Y., LEUNG, H. F., LAU, R. Y. K. and LI, Q., 2019. ITWF:
A Framework to Apply Term Weighting Schemes in Topic Model. Neurocomputing,
350. Elsevier, 248–260. [ doi:10.1016/j.neucom.2019.02.048 ]
· WANG, L., WANG,
X. H., LEUNG, H. F. and MAK, T., 2019. A Non-minimal Routing Algorithm for
Aging Mitigation in 2D–Mesh NoCs. IEEE Trans. Comput.-Aided
Design Integr. Circuits Syst., 38(7). IEEE,
1373–1377. [ doi:10.1109/TCAD.2018.2855149 ]
· LIU, S., JONG,
M. S., YIN, H. B., LEUNG, H. F. and CHEN, M. Y., 2019. Design of a
“Micro-Module Bank” for Facilitating Higher Education Teachers to Adopt the
Flipped Classroom in Practice. In: 2019 International Symposium on
Educational Technology (ISET), Hradec Králové,
Czech Republic, 2–4 July 2019. IEEE, 301–303.[ doi:10.1109/ISET.2019.00071 ]
· ZHU, C. X.,
LEUNG, H. F., HU, S. Y. and CAI, Y., 2019. A Q-Values Sharing Framework for
Multiple Independent Q-learners (Extended Abstract). In: Proceedings of the
18th International Conference on Autonomous Agents and MultiAgent
Systems, AAMAS ’19, Montreal, Canada, 13–17 May 2019. IFAAMS,
2324–2326. [ Online document in ACM Digital Library ]
· HU, S. Y.,
LEUNG, C. W., LEUNG, H. F., and LIU, J. M., 2019. To be Big Picture Thinker or
Detail-Oriented? Utilizing Perceived Gist Information to Achieve Efficient
Convention Emergence with Bilateralism and Multilateralism (Extended Abstract).
In: Proceedings of the 18th International Conference on Autonomous Agents
and MultiAgent Systems, AAMAS ’19, Montreal,
Canada, 13–17 May 2019. IFAAMS, 2021–2023. [ Online document in ACM Digital Library ]
· LEI, X., CAI,
Y., XU, J. Y., REN, D., LI, Q. and LEUNG, H. F., 2019. Incorporating
Task-Oriented Representation in Text Classification. In: G. LI, J. YANG, J.
GAMA, J. NATWICHAI, and Y. TONG, eds., Database
Systems for Advanced Applications. DASFAA 2019.
Lecture Notes in Computer Science, volume 11447. Chiang Mai, Thailand, 22–25
April 2019. Springer, Cham, 401–415. [ doi:10.1007/978-3-030-18579-4_24 ]
· HU, S. Y. and
LEUNG, H. F., 2018. Compromise as a Way to Promote
Convention Emergence and to Reduce Social Unfairness in Multi-Agent Systems.
In: T. MITROVIC, B. XUE, and X. LI, eds., AI 2018: Advances in Artificial
Intelligence. AI 2018. Lecture Notes in Computer Science, volume 11320.
Wellington, New Zealand, 11–14 December 2018. Springer, Cham, 3–15. [ doi:10.1007/978-3-030-03991-2_1 ]
· WU, X., CAI,
Y., LI, Q., XU, J. Y. and LEUNG, H. F., 2018. Combining Contextual Information
by Self-attention Mechanism in Convolutional Neural
Networks for Text Classification. In: H. HACID, W. CELLARY, H. WANG, H. Y. PAIK and R. ZHOU, eds., Web
Information Systems Engineering – WISE 2018, Lecture Notes in Computer
Science, volume 11233. Dubai, United Arab Emirates, 12–15 November 2018.
Springer Cham, 453–467. [ doi:10.1007/978-3-030-02922-7_31 ]
· BORGLUND, T.,
HU, S. Y. and LEUNG, H. F., 2018. The Effects of Fixed-Strategy Agents on Local
Convention Emergence in Multi-Agent Systems. In: Z. SHI, E. MERCIER-LAURENT,
AND J. LI, eds., Intelligent Information Processing IX. IIP 2018, IFIP Advances in Information and Communication Technology,
volume 538. Nanning, China, 19–22 October 2018. Springer, Cham, 99–108. [ doi:10.1007/978-3-030-00828-4_11 ]
· HU, S. Y. and LEUNG,
H. F., 2018. Do Social Norms Emerge? the Evolution of Agents’ Decisions with
the Awareness of Social Values under Iterated Prisoner’s Dilemma. In: 2018
IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems
(SASO), Trento, Italy, 3–7 September 2018. IEEE, 11–19. [ doi:10.1109/SASO.2018.00012 ]
· AU, C. K. and
LEUNG, H. F., 2018. Analysis of Evolution Strategies with the Optimal Weighted
Recombination on Finite Spherical Function. In: Proceedings of the Genetic
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· LEUNG, H. F. and
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· LEUNG, H. F.,
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