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2024

• Jian Zhu, Hanli Wang, and Bin He, Multi-modal Structure-embedding Graph Transformer for Visual Commonsense Reasoning, IEEE Transactions on Multimedia, vol. 26, pp. 1295-1305, Jan. 2024.  [Project: click here]

• Taiyi Su, Hanli Wang, Qiuping Qi, Lei Wang, and Bin He, Transductive Learning with Prior Knowledge for Generalized Zero-shot Action Recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 1, pp. 260-273, Jan. 2024. [Project: click here] 

• Ziyu Chen, Hanli Wang, and Chang Wen Chen, Self-supervised Video Representation Learning by Serial Restoration with Elastic Complexity, IEEE Transactions on Multimedia, vol. 26, pp. 2235-2248, Feb. 2024. [Project: click here]

• Shanshan Du, Hanli Wang, Tengpeng Li, and Chang Wen Chen, Hybrid Graph Reasoning with Dynamic Interaction for Visual Dialog, IEEE Transactions on Multimedia, vol. 26, pp. 9095-9108, 2024. [Project: click here]

• Jian Zhu, Hanli Wang, and Miaojing Shi, Multi-modal Large Language Model Enhanced Pseudo 3D Perception Framework for Visual Commonsense Reasoning, IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 11, pp. 11682-11694, Nov. 2024. [Project: click here]

• Tengpeng Li, Hanli Wang, Qinyu Li, and Zhangkai Ni, Vision-Language Relational Transformer for Video-to-Text Generation, IEEE Transactions on Multimedia, accepted, 2024. [Project: click here]

• Dongjie Ye, Zhangkai Ni, Wenhan Yang, Hanli Wang, Shiqi Wang, and Sam Kwong, Glow in the Dark: Low-Light Image Enhancement with External Memory, IEEE Transactions on Multimedia, vol. 26, pp. 2148-2163, Feb. 2024. 

• Zhangkai Ni, Yue Liu, Keyan Ding, Wenhan Yang, Hanli Wang, and Shiqi Wang, Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature Statistics, IEEE Transactions on Multimedia, vol. 26, pp. 10211-10224, May 2024. 

• Zixi Guo, Yun Zhang, Linwei Zhu, Hanli Wang, and Gangyi Jiang, TSC-PCAC: Voxel Transformer and Sparse Convolution Based Point Cloud Attribute Compression for 3D Broadcasting, IEEE Transactions on Broadcasting, accepted, 2024. 

• Zhangkai Ni, Runyu Xiao, Wenhan Yang, Hanli Wang, Zhihua Wang, Lihua Xiang, and Liping Sun, M2Trans: Multi-Modal Regularized Coarse-to-Fine Transformer for Ultrasound Image Super-Resolution, IEEE Journal of Biomedical and Health Informatics, accepted, 2024, doi: 10.1109/JBHI.2024.3454068.

• Qinyu Li, Hanli Wang, and Xiaokai Yi, Learning Topic Emotion and Logical Semantic for Video Paragraph Captioning, Displays, vol. 83, pp. 102706, Apr. 2024. 

• Yun Yi, Jin Zhou, Hanli Wang, Pengjie Tang, and Min Wang, Emotion Recognition in User-generated Videos with Long-range Correlation-aware Network, IET Image Processing, pp. 1-14, Jun. 2024.

• Changwei Ouyang, Yun Yi, Hanli Wang, Jin Zhou, and Tao Tian, FineTea: A Novel Fine-Grained Action Recognition Video Dataset for Tea Ceremony Actions, Journal of Imaging, vol. 10, no. 9, pp. 216:1-17, Aug. 2024, https://doi.org/10.3390/jimaging10090216.

• Ya Liu, Jiahao Lai, Bo Chen, Kai Wang, Fei Qiao, and Hanli Wang, Distributionally Robust CVaR Optimization for Refinery Integrated Production–maintenance Scheduling under Uncertainty, Computers & Chemical Engineering, vol. 194, 108949:1-12, Nov. 2024, https://doi.org/10.1016/j.compchemeng.2024.108949.

• Juncheng Wu, Zhangkai Ni, Hanli Wang, Wenhan Yang, Yuyin Zhou, and Shiqi Wang, DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor, The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS'24), Vancouver, BC, Canada, accepted, Dec. 10-15, 2024.

• Zhangkai Ni, Peiqi Yang, Wenhan Yang, Hanli Wang, Lin Ma, and Sam Kwong, ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field, Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, pp. 4325-4333, Feb. 22-25, 2024.

• Zhangkai Ni, Juncheng Wu, Zian Wang, Wenhan Yang, Hanli Wang, and Lin Ma, Misalignment-Robust Frequency Distribution Loss for Image Transformation, 2024 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'24), Seattle, USA, pp. 2910-2919, Jun. 17-21, 2024.

• Yuxuan Zhang, Miaojing Shi, Taiyi Su, and Hanli Wang, Memory-Based Contrastive Learning with Optimized Sampling for Incremental Few-Shot Semantic Segmentation, 2024 IEEE International Symposium on Circuits and Systems (ISCAS'24), Singapore, pp. 1-5, May 19-22, 2024. [Project: click here]

2023

• Tengpeng Li, Hanli Wang, Bin He, and Chang Wen Chen, Knowledge-enriched Attention Network with Group-wise Semantic for Visual Storytelling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 7, pp. 8634-8645, Jul. 2023.  [Project: click here]
  

• Taiyi Su, Hanli Wang, and Lei Wang, Multi-level Content-aware Boundary Detection for Temporal Action Proposal Generation, IEEE Transactions on Image Processing, vol. 32, pp. 6090-6101, Nov. 2023. [Project: click here]

• Xiaokai Yi, Hanli Wang, Sam Kwong, and C.-C. Jay Kuo, Task-Driven Video Compression for Humans and Machines: Framework Design and Optimization, IEEE Transactions on Multimedia, vol. 25, pp. 8091-8102, Dec. 2023.  [Project: click here]

• Zhisen Tang, Hanli Wang, Xiaokai Yi, Yun Zhang, Sam Kwong and C.-C. Jay Kuo. Joint Graph Attention and Asymmetric Convolutional Neural Network for Deep Image Compression, IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 1, pp. 421-433, Jan. 2023.  [Project: click here]
  

• Jinjing Gu, Hanli Wang, and Ruichao Fan, Coherent Visual Storytelling via Parallel Top-Down Visual and Topic Attention, IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 1, pp. 257-268, Jan. 2023. [Project: click here]

• Dongjie Ye, Zhangkai Ni, Hanli Wang, Jian Zhang, Shiqi Wang, and Sam Kwong, CSformer: Bridging Convolution and Transformer for Compressive Sensing, IEEE Transactions on Image Processing, vol. 32, pp. 2827-2842, May 2023. 

• Yun Zhang, Keqin Ding, Na Li, Hanli Wang, Xiaoxia Huang, and C. -C. Jay Kuo, Perceptually Weighted Rate Distortion Optimization for Video-Based Point Cloud Compression, IEEE Transactions on Image Processing, vol. 32, pp. 5933-5947, Oct. 2023.

• Yue Liu, Zhangkai Ni, Shiqi Wang, Hanli Wang, and Sam Kwong, High Dynamic Range Image Quality Assessment Based on Frequency Disparity, IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 8, pp. 4435-4440, Aug. 2023. 

• Wenjie Chen, Zhangkai Ni, and Hanli Wang, Structure-aware Generative Adversarial Network for Text-to-image Generation, 2023 IEEE International Conference on Image Processing (ICIP'23), Kuala Lumpur, Malaysia, pp. 2075-2079, Oct. 8-11, 2023. [Project: click here]
  

• Juntao Yu, Zhangkai Ni, Taiyi Su, and Hanli Wang, Adaptive Token Excitation with Negative Selection for Video-Text Retrieval, 32nd International Conference on Artificial Neural Networks (ICANN'23), LNCS 14260, Heraklion city, Crete, Greece, pp. 349-361, Sept. 26-29, 2023. [Project: click here]
  

2022

• Hanli Wang, Pengjie Tang, Qinyu Li, and Meng Cheng, Emotion Expression with Fact Transfer for Video Description, IEEE Transactions on Multimedia, vol. 24, pp. 715-727, Feb. 2022. [Project: click here]

• Meng Cheng, Hanli Wang, and Yu Long, Meta-Learning Based Incremental Few-Shot Object Detection, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 4, pp. 2158-2169, Apr. 2022. [Project: click here]

• Jian Zhu and Hanli Wang, Multiscale Conditional Relationship Graph Network for Referring Relationships in Images, IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 2, pp. 752-760, Jun. 2022. [Project: click here]

• Yun Yi, Hanli Wang, and Pengjie Tang, Unified Multi-stage Fusion Network for Affective Video Content Analysis, Electronics Letters, vol. 58, no. 21, pp. 795-797, Oct. 2022. [Project: click here]
  

• Qiuping Qi, Hanli Wang, Taiyi Su, and Xianhui Liu, Learning Temporal Information and Object Relation for Zero-shot Action Recognition, Displays, vol. 73, pp. 102177, Mar. 2022. 

• 汤鹏杰,  王瀚漓.  从视频到语言: 视频标题生成与描述研究综述.  自动化学报,  2022,  48(2): 375-397.

• Chao Zeng, Sam Kwong, Tiesong Zhao, and Hanli Wang, Contrastive Semantic Similarity Learning for Image Captioning Evaluation, Information Sciences, vol. 609, pp. 913-930, Jul. 2022.

• Zhangkai Ni, Wenhan Yang, Hanli Wang, Shiqi Wang, Lin Ma, and Sam Kwong, Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement, 2022 ACM International Conference on Multimedia (ACM MM'22), Lisbon, Portugal, pp. 1484-1492, 10-14 Oct., 2022. 

• Ziyi Liu, Hanli Wang, and Taiyi Su, Learned Image Compression with Multi-scale Spatial and Contextual Information Fusion, 2022 IEEE International Conference on Image Processing (ICIP'22), Bordeaux, France, pp. 706-710, Oct. 16-19,  2022.

• Shengkai Wang and Hanli Wang, Discretized Gaussian Mixture Hyperprior for Learned Image Compression with Mask Module, 2022 IEEE International Conference on Multimedia & Expo (ICME'22), Taipei, Taiwan, pp. 1-6, Jul. 18-22, 2022.

• Qinyu Zhang, Pengjie Tang, Hanli Wang, and Jinjing Gu, Multi-Concept Mining for Video Captioning Based on Multiple Tasks, 2022 IEEE International Symposium on Circuits and Systems (ISCAS'22), Austin Texas, USA, pp. 2993-2997, May 28-Jun. 1, 2022.

• Quanhui Cao, Pengjie Tang, and Hanli Wang, Spatio-Temporal Super-Resolution Network: Enhance Visual Representations for Video Captioning, 2022 IEEE International Symposium on Circuits and Systems (ISCAS'22), Austin Texas, USA, pp. 3125-3129, May 28-Jun. 1, 2022.

2021

• Longyu Yang, Hanli Wang, Pengjie Tang, and Qinyu Li, CaptionNet: A Tailor-made Recurrent Neural Network for Generating Image Descriptions, IEEE Transactions on Multimedia, vol. 23, pp. 835-845, 2021. [Project: click here]
  

• Xiaoyang Sun, Hanli Wang, and Bin He, MABAN: Multi-Agent Boundary-Aware Network for Natural Language Moment Retrieval, IEEE Transactions on Image Processing, vol. 30, pp. 5589-5599, 2021. [Project: click here]

• Tao Tian, Hanli Wang, Sam Kwong, and C.-C. Jay Kuo, Perceptual Image Compression with Block-level Just Noticeable Difference Prediction, ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 6, no. 4, Article 126, Jan. 2021. [Project: click here]
  

• Yu Long, Pengjie Tang, Hanli Wang, and Jian Yu, Improving Reasoning with Contrastive Visual Information for Visual Question Answering, Electronics Letters, vol. 57, no. 20, pp. 758-760, Sept. 2021. [Project: click here]

• Qinyu Li, Longyu Yang, Pengjie Tang, and Hanli Wang, Enhancing Semantics with Multi-objective Reinforcement Learning for Video Description, Electronics Letters, vol. 57, no. 25, pp. 977-979, Dec. 2021.

• Ruichao Fan, Hanli Wang, Jinjing Gu, and Xianhui Liu, Visual Storytelling with Hierarchical BERT Semantic Guidance, 2021 ACM Multimedia Asia (MMAsia'21), Gold Coast, Australia, Article No. 24: 1-7, Dec. 1-3, 2021.

• Yutao Xu, Hanli Wang, and Jian Zhu, Patch Assembly for Real-time Instance Segmentation, 2020 ACM Multimedia Asia (MMAsia'20), Singapore, Article No. 28: 1-7, Mar. 7-9, 2021. 

2020

• Yun Yi, Hanli Wang, and Qinyu Li, Affective Video Content Analysis with Adaptive Fusion Recurrent Network, IEEE Transactions on Multimedia, vol. 22, no. 9, pp. 2454-2466, Sept. 2020. [Project: click here]

• Tao Tian, Hanli Wang, Lingxuan Zuo, C.-C. Jay Kuo, and Sam Kwong, Just Noticeable Difference Level Prediction for Perceptual Image Compression, IEEE Transactions on Broadcasting, vol. 66, no. 3, pp. 690-700, Sept. 2020. 

• Xiuzhe Wu, Hanli Wang, Sudeng Hu, Sam Kwong, and C.-C. Jay Kuo, Perceptually Weighted Mean Squared Error Based Rate-Distortion Optimization for HEVC, IEEE Transactions on Broadcasting, vol. 66, no. 4, pp. 824-834, Dec. 2020. [Project: click here]

• Hanzhang Wang, Hanli Wang, and Kaisheng Xu, Evolutionary Recurrent Neural Network for Image Captioning, Neurocomputing, vol. 401, pp. 249-256, Aug. 2020.

• Yu Long, Pengjie Tang, Zhihua Wei, Jinjing Gu, and Hanli Wang, RepeatPadding: Balancing Words and Sentence Length for Language Comprehension in Visual Question Answering, Information Sciences, vol. 529, pp. 166-178, Aug. 2020.

• Yutang Wu, Hanli Wang, Shuheng Wang, and Qinyu Li, Enhanced Action Tubelet Detector for Spatio-Temporal Video Action Detection, 2020 IEEE International Conference on  Acoustics, Speech, and Signal Processing (ICASSP'20), Barcelona, Spain, pp. 2388-2392, May 4-8, 2020.
  

• Qinyu  Li, Lijun Chen, Hanli Wang, and Xianhui Liu, Wonderful Clips of Playing  Basketball: A Database for Localizing Wonderful Actions, The 26th International Conference on Multimedia Modeling (MMM'20), LNCS 11961, Daejeon, Korea, pp. 445-454, Jan. 5-8, 2020.

• Zefeng Sun, Hanli Wang, Yun Yi, and Qinyu Li, Structural Pyramid Network for Cascaded Optical Flow Estimation, The 26th International Conference on Multimedia Modeling (MMM'20), LNCS 11961, Daejeon, Korea, pp. 455-467, Jan. 5-8, 2020. [Project: click here]

• Jian Zhu and Hanli Wang, Cross-modal Metric Learning and Local Attention for Referring Relationships in Images, Proceedings of the 14th International FLINS Conference (FLINS'20), Cologne, Germany, pp. 800-807, Aug. 18-21, 2020.

2019

• Bo Xiao, Hanli Wang, Jun Wu, Sam Kwong, and C.-C. Jay Kuo, A Multi-grained Parallel Solution for HEVC Encoding on Heterogeneous Platforms, IEEE Transactions on Multimedia, vol. 21, no. 12, pp. 2997-3009, Dec. 2019. [Project: click here]

• Pengjie Tang, Hanli Wang, and Qinyu Li, Rich Visual and Language Representation with Complementary Semantics for Video Captioning, ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 15, no. 2, Article 31, May 2019.

• Huan Zhang, Yun Zhang, Hanli Wang, Yo-Sung Ho, and Shengzhong Feng, WLDISR: Weighted Local Sparse Representation-Based Depth Image Super-Resolution for 3D Video System, IEEE Transactions on Image Processing, vol. 28, no. 2, pp. 561-576, Feb. 2019.

• Yun Yi and Hanli Wang, Multi-modal Learning for Affective Content Analysis in Movies, Multimedia Tools and Applications, vol. 78, no. 10, pp. 13331-13350, May 2019. [Project: click here]

• Hanzhang Wang, Hanli Wang, and Kaisheng Xu, Swell-and-Shrink: Decomposing Image Captioning by Transformation and Summarization, The 28th International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, pp. 5226-5232, Aug. 10-16,  2019. 

• Xinyu Zhang, Hanli Wang, and Tao Tian, Perceptual Video Coding with Block-Level Staircase Just Noticeable Distortion, 2019 IEEE International Conference on Image Processing (ICIP'19), Taipei, Taiwan, pp. 4140-4144, Sept. 22-25,  2019. 

• Jiangchuan Wei, Hanli Wang, Yun Yi, Qinyu Li, and Deshuang Huang, P3D-CTN: Pseudo-3D Convolutional Tube Network for Spatio-Temporal Action Detection in Videos, 2019 IEEE International Conference on Image Processing (ICIP'19), Taipei, Taiwan,  pp. 300-304, Sept. 22-25,  2019.

• Shuheng Wang, Hanli Wang, and Qinyu Li, Multi-Dilation Network for Crowd Counting, 2019 ACM Multimedia Asia (MMAsia'19),  Beijing, China, Dec. 15-18, 2019.
  

• Yihao Chen, Hanli Wang, Qinyu Li, and Deshuang Huang, Data Driven Regularization for Convolutional Neural Networks on Image Classification, 2019 IEEE International Symposium on Circuits and Systems (ISCAS'19), Sapporo, Japan, pp. 1-5, May 26-29,  2019.

2018

• Hanli Wang, Bo Xiao, Jun Wu, Sam Kwong, and C.-C. Jay Kuo, A Collaborative Scheduling-Based Parallel Solution for HEVC Encoding on Multicore Platforms, IEEE Transactions on Multimedia, vol. 20, no. 11, pp. 2935-2948, Nov. 2018. [Project: click here]

• Bowen Zhang, Limin Wang, Zhe Wang, Yu Qiao, and Hanli Wang, Real-Time Action Recognition With Deeply Transferred Motion Vector CNNs, IEEE Transactions on Image Processing, vol. 27, no. 5,  pp. 2326-2339, May 2018.

• Cairong Zhao, Xuekuan Wang, Duoqian Miao, Hanli Wang, Weisi Zheng, Yong Xu, and David Zhang, Maximal Granularity Structure and Generalized Multi-view discriminant Analysis for Person Re-identification, Pattern Recognition, vol. 79, pp. 79-96, Feb. 2018.

• Fang Fang, Hanli Wang, Yihao Chen, and Pengjie Tang, Looking Deeper and Transferring Attention for Image Captioning, Multimedia Tools and Applications, vol. 77, no. 23, pp. 31159-31175, Dec. 2018.
  

• Yun Yi and Hanli Wang, Motion Keypoint Trajectory and Covariance Descriptor for Human Action Recognition, The Visual Computer, vol. 34, no. 3, pp. 391-403, 2018. [Project: click here]

• Pengjie Tang, Hanli Wang, and Sam Kwong, Deep Sequential Fusion LSTM Network for Image Description, Neurocomputing, vol. 312, pp. 154-164, Oct. 2018.

• Tao Tian and Hanli Wang, Large-scale Video Compression: Recent Advances and Challenges, Frontiers of Computer Science, vol. 12, no. 5, pp. 825-839, Oct. 2018.

• Pengjie Tang, Hanli Wang, and Kaisheng Xu, Multi-objective Layer-wise Optimization and Multi-level Probability Fusion for Image Description Generation Using LSTM, Acta Automatica Sinica, vol. 44, no. 7, pp. 1237-1249, Jul. 2018. (In Chinese)

• Hanzhang Wang, Hanli Wang, and Kaisheng Xu, Categorizing Concepts with Basic Level for Vision-to-Language, 2018 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'18), Salt Lake City, USA, pp. 4962-4970, Jun. 18-22, 2018.

• Fang Fang, Qinyu Li, Hanli Wang, and Pengjie Tang, Refining Attention: A Sequential Attention Model for Image Captioning, 2018 IEEE International Conference on Multimedia & Expo (ICME'18), San Diego, CA, USA, pp. 1-6, Jul. 23-27, 2018.

• Fang Fang, Hanli Wang, and Pengjie Tang, Image Captioning with Word Level Attention, 2018 IEEE International Conference on Image Processing (ICIP'18), Athens, Greece, pp. 1278-1282, Oct. 7-10, 2018.

• Zefeng Sun and Hanli Wang, Deeper Spatial Pyramid Network with Refined Up-Sampling for Optical Flow Estimation, 2018 Pacific Rim Conference on Multimedia (PCM'18), LNCS 11164, pp. 492-501, 2018.

• Yutang Wu, Hanli Wang, and Qinyu Li, Three-Stream Action Tubelet Detector for Spatiotemporal Action Detection in Videos, 2018 Pacific Rim Conference on Multimedia (PCM'18), LNCS 11165, pp. 296-306, 2018.

• Siyuan Wu, Hanli Wang, and Qinyu Li, Object-Oriented Video Prediction with Pixel-Level Attention, The 10th International Conference on Internet Multimedia Computing and Service (ICIMCS'18), Nanjiang, China, Article No. 181, Aug. 17-19, 2018.

• Xinyu Zhang, Hanli Wang, and Tao Tian, Light Field Image Coding with Disparity Correlation Based Prediction, 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM'18), Xi'an, China, pp. 1-6, Sept. 13-16, 2018.

• Chi Zhang, Bo Xiao, and Hanli Wang, Highly Parallel Acceleration of HEVC Encoding on ARM Platform, 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM'18), Xi'an, China, pp. 1-6, Sept. 13-16, 2018.

• Lijun Chen, Qinyu Li, Hanli Wang, and Yu Long, Static Correlative Filter based Convolutional Neural Network for Visual Question Answering, 2018 IEEE International Conference  on Big Data and Smart Computing (BigComp'18), Shanghai, China, pp. 526-529, Jan. 15-18, 2018.

• Yun Yi, Hanli Wang, and Qinyu Li, CNN Features for Emotional Impact of Movies Task, MediaEval 2018 Workshop (MediaEval'18), Sophia Antipolis, France, Oct. 29-31, 2018.

2017

• Hanli Wang, Tao Tian, Ming Ma, and Jun Wu, Joint Compression of Near-Duplicate Videos, IEEE Transactions on Multimedia, vol. 19, no. 5, pp. 908-920, May 2017.

• Hanli Wang, Peiqiu Chen, and Sam Kwong, Building Correlations Between Filters in Convolutional Neural Networks, IEEE Transactions on  Cybernetics, vol. 47, no. 10,  pp. 3218-3229, Oct. 2017. [Project: click here]

• Hanli Wang, Jie Fu, Weisi Lin,  Sudeng Hu, C.-C. Jay Kuo, and Lingxuan Zuo, Image Quality Assessment Based on Local Linear Information and Distortion-Specific Compensation, IEEE Transactions on Image Processing, vol. 26, no. 2, pp. 915-926, Feb. 2017.

• Sudeng Hu, Lina Jin, Hanli  Wang, Yun Zhang, Sam Kwong, and C.-C. Jay Kuo,  Objective Video Quality Assessment Based on Perceptually Weighted Mean Squared Error, IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 9, pp. 1844-1855, Sept. 2017.

• Pengjie Tang, Hanli Wang, and Sam Kwong, G-MS2F: GoogLeNet Based Multi-Stage Feature Fusion of Deep CNN for Scene Recognition, Neurocomputing, vol. 225, pp. 188-197, Feb. 2017. [Project: click here] [Erratum: Erratum.pdf]

• Yun Yi, Hanli Wang, and Bowen Zhang, Learning Correlations for Human Action Recognition in Videos, Multimedia Tools and Applications, vol. 76, no. 18, pp. 18891-18913, Sept. 2017.

• Lei Wang and Hanli Wang, Improving Feature Matching Strategies for Efficient Image Retrieval, Signal Processing: Image Communication, vol. 53, pp. 86-94, Apr. 2017.

• Pengjie Tang and Hanli Wang, Richer Feature for Image Classification with Super and Sub Kernels Based on Deep Convolutional Neural Network, Computers and Electrical Engineering, vol. 62, pp. 499-510, Aug. 2017. [Project: click here]

• Claire-Hélène Demarty, Mats Sjöberg, Mihai Gabriel Constantin, Ngoc Q. K. Duong, Bogdan Ionescu, Thanh-Toan Do, and Hanli Wang, Predicting Interestingness of Visual Content, In: Benois-Pineau J., Le Callet P. (eds) Visual Content Indexing and Retrieval with Psycho-Visual Models. Multimedia Systems and Applications. Springer, Cham, pp. 233-265, 2017.

• Pengjie Tang, Hanli Wang,  Hanzhagn Wang, and Kaisheng Xu, Richer Semantic Visual and Language Representation for Video Captioning, 2017 ACM Multimedia (ACM MM'17), Mountain View, CA, USA, pp. 1871-1876, Oct. 23-27, 2017.

• Kaisheng Xu, Hanli Wang, and Pengjie Tang, Image Captioning with Deep LSTM Based on Sequential Residual, 2017 IEEE International Conference on Multimedia & Expo (ICME'17), Hong Kong, China, pp. 361-366, Jul. 10-14, 2017.

• Yihao Chen, Hanli Wang, and Yu Long, Regularization of Convolutional Neural Networks Using ShuffleNode, 2017 IEEE International Conference on Multimedia & Expo (ICME'17), Hong Kong, China, pp. 355-360, Jul. 10-14, 2017.

• Yun Yi, Hanli Wang, and Jiangchuan Wei, MIC-TJU in MediaEval 2017 Emotional Impact of Movies Task, MediaEval 2017 Workshop (MediaEval'17), Dublin, Ireland, Sept. 13-15, 2017. (Top Performance)
  

2016

• Pengjie Tang, Hanli Wang, and Lingxuan Zuo, Parallel Cross Deep Convolutional Neural Networks Model, Journal of Image and Graphics, vol. 21, no. 3, pp. 339-347, Mar. 2016.

• Hanli Wang, Lingxuan Zuo, and Jie Fu, Distortion Recognition for Image Quality Assessment with Convolutional Neural Network, 2016 IEEE International Conference on Multimedia & Expo (ICME'16), Seattle, USA, pp. 1-6, Jul. 11-15, 2016.

• Lingxuan Zuo, Hanli Wang, and Jie Fu, Screen Content Image Quality Assessment via Convolutional Neural Network, 2016 IEEE International Conference on Image Processing (ICIP'16), Phoenix, Arizona, USA, pp. 2082-2086, Sept. 25-28, 2016.

• Bowen Zhang, Limin Wang, Zhe Wang, Yu Qiao, and Hanli Wang, Real-time Action Recognition with Enhanced Motion Vector CNNs, 2016 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'16), Las Vegas, USA, pp. 2718-2726, Jun. 27-30, 2016.

• Jie Fu, Hanli Wang, and Lingxuan Zuo, Blind Image Quality Assessment for Multiply Distorted Images via Convolutional Neural Networks, 2016 IEEE International Conference on  Acoustics, Speech, and Signal Processing (ICASSP'16), Shanghai, China, pp. 1075-1079, Mar. 20-25, 2016.

• Hanli Wang, Xiaobin Zheng, and Bo Xiao, Accelerating Large-Scale Human Action Recognition with GPU-Based Spark, 2016 Pacific-Rim Conference on Multimedia (PCM'16), LNCS 9917, Part II, pp.  670-679, Sept. 15-16, 2016.

• Hanli Wang and Tianyao Sun, Improving Image Retrieval by Local Feature Reselection with Query Expansion, 2016 Pacific-Rim Conference on Multimedia (PCM'16), LNCS 9916, Part I, pp. 65-74, Sept. 15-16, 2016.

• Xiuzhe Wu, Hanli Wang, and Zhihua Wei, Optimal Stopping Theory Based Fast Coding Tree Unit Decision for High Efficiency Video Coding, 2016 IEEE International Conference on Visual Communications and Image Processing (VCIP'16), Chengdu, China, Nov. 27-30, 2016.

• Xiuzhe Wu, Hanli Wang, and Zhihua Wei, Bayesian Rule Based Fast TU Depth Decision Algorithm for High Efficiency Video Coding, 2016 IEEE International Conference on Visual Communications and Image Processing (VCIP'16), Chengdu, China, Nov. 27-30, 2016.

• Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang, Ngoc Q K Duong, Frédéric Lefebvre, MediaEval 2016 Predicting Media Interestingness Task, MediaEval 2016 Workshop, Hilversum, Netherlands, Oct. 20-21, 2016.

2015

• Hanli Wang, Bo Xiao, Lei Wang, Fengkuangtian Zhu, Yu-Gang Jiang, and Jun Wu, CHCF: A Cloud-based Heterogeneous Computing Framework for Large-Scale Image Retrieval, IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 12, pp. 1900-1913, Dec. 2015. [Project: click here]

• Sudeng Hu, Lina Jin, Hanli Wang, Yun Zhang, Sam Kwong, and C.-C. Jay Kuo, Compressed Image Quality Metric based on Perceptually Weighted Distortion, IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5594-5608, Dec. 2015.

• Hanli Wang, Fengkuangtian Zhu, Bo Xiao, Lei Wang, and Yu-Gang Jiang, GPU-based MapReduce for Large-scale Near-Duplicate Video Retrieval, Multimedia Tools and Applications, vol. 74, no. 23, pp. 10515-10534, Dec. 2015.

• Min Wang, Jun Wu, Wei Yu, Hanli Wang, Jiehui Li, Jianyang Shi, and Chong Luo, Efficient Coding Modulation and Seamless Rate Adaptation for Visible Light Communications, IEEE Wireless Communications Magazine, vol. 22, no. 2, pp. 86-93, Apr. 2015.

• Yun Yi and Hanli Wang, Action Recognition from Unconstrained Videos via Salient and Robust Trajectory, Journal of Image and Graphics, vol. 20, no. 2, pp. 245-253, Feb. 2015.

• Hanli Wang, Bo Xiao, Lei Wang, and Jun Wu, Accelerating Large-scale Image Retrieval on Heterogeneous architectures with Spark, 2015 ACM Multimedia Conference (ACM MM'15), Brisbane, Australia, pp. 1023-1026, Oct. 26-30, 2015.

• Hanli Wang, Yun Yi, and Jun Wu, Human Action Recognition With Trajectory Based Covariance Descriptor In Unconstrained Videos, 2015 ACM Multimedia Conference (ACM MM'15), Brisbane, Australia, pp. 1175-1178, Oct. 26-30, 2015. [Project: click here]

• Hanli Wang, Ming Ma, and Tao Tian, Effectively Compressing Near-Duplicate Videos in a Joint Way, 2015 IEEE International Conference on Multimedia and Expo (ICME'15), Turin, Italy, pp. 1-6, Jun. 29-Jul. 3, 2015.

• Lei Wang, Hanli Wang, and Fengkuangtian Zhu, Twin Feature and Similarity Maximal Matching for Image Retrieval, 2015 ACM International Conference on Multimedia Retrieval (ICMR'15), Shanghai, China, pp. 59-66, Jun. 23-26, 2015.

• Bowen Zhang and Hanli Wang, Encoding Scale into Fisher Vector for Human Action Recognition, 2015 IEEE International Conference on Visual Communications and Image Processing (VCIP'15), Singapore, Dec. 13-16, 2015.

• Hanli Wang and Yun Yi, Tracking Salient Keypoints for Human Action Recognition, 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC'15), Hong Kong, China, pp. 3048-3053, Oct. 9-12, 2015.

• Peiqiu Chen, Hanli Wang, and Jun Wu, Correlative Filters for Convolutional Neural Networks, 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC'15), Hong Kong, China, pp. 3042-3047, Oct. 9-12, 2015.

• Tianyao Sun, Hanli Wang, Yun Shen, and Jun Wu, Accelerating Support Vector Machine Learning with GPU-based MapReduce, 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC'15), Hong Kong, China, pp. 876-881, Oct. 9-12, 2015.

• Lei Wang, Hanli Wang, and Bo Xiao, A GPU-based MapReduce Framework for MSR-Bing Image Retrieval Challenge, The 10th EAI International Conference on Communications and Networking in China (CHINACOM'15), Shanghai, China, pp. 442-447, Aug. 15-17, 2015. (Best Paper Award)

• Lei Wang and Hanli Wang, Improving Bag-of-Words Representation with Efficient Twin Feature Integration, The 7th International Conference on Internet Multimedia Computing and Service (ICIMCS'15), Zhangjiajie, China, Article No. 51, Aug. 19-21, 2015.

• Hanli Wang, Xiaobin Zheng, and Bo Xiao, Large-Scale Human Action Recognition with Spark, 2015 International Workshop on Multimedia Signal Processing (MMSP'15), Xiamen, China, Oct. 19-21, 2015.

• Yun Yi, Hanli Wang, Bowen Zhang, and Jian Yu, MIC-TJU in MediaEval 2015 Affective Impact of Movies Task, MediaEval 2015 Workshop, Wurzen, Germany, Sept. 14-15, 2015. (Top Performance)

• Mats Sjöberg, Yoann Baveye, Hanli Wang, Vu Lam Quang, Bogdan Ionescu, Emmanuel Dellandrea, Markus Schedl, Claire-Hélène Demarty, and Liming Chen, The MediaEval 2015 Affective Impact of Movies Task, MediaEval 2015 Workshop, Wurzen, Germany, Sept. 14-15, 2015.

2014

• Hanli Wang, Han Du, Weiyao Lin, Sam Kwong, Oscar C. Au, Jun Wu, and Zhihua Wei, Early Detection of All-Zero 4x4 Blocks in High Efficiency Video Coding, Journal of Visual Communication and Image Representation, vol. 25, no. 7, pp. 1784-1790, Oct. 2014.

• Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Hanli Wang, Bin Shen, and Hongxiang Li, A New Network-based Algorithm for Human Activity Recognition in Videos, IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 5, pp. 826-841, May 2014.

• Hanli Wang, Han Du, and Jun Wu, Predicting Zero Coefficients for High Efficiency Video Coding, 2014 IEEE International Conference on Multimedia and Expo (ICME'14) , Chengdu, China, pp. 1-6, Jul. 14-18, 2014.

• Hanli Wang, Ming Ma, Yu-Gang Jiang, and Zhihua Wei, A Framework of Video Coding for Compressing Near-Duplicate Videos, 2014 International Conference on Multimedia Modeling (MMM'14) , Part I, LNCS 8325, pp. 518-528, Jan. 6-10, 2014.

• Hanli Wang, Yue Heng, and Han Du, Optimal Stopping Theory based Algorithm for Coding Unit Size Decision in HEVC, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC'14) , Siem Reap, City of Angkor Wat, Cambodia, pp. 1-6, Dec. 9-12, 2014.

• Dingjun Yu , Hanli Wang, Peiqiu Chen, and Zhihua Wei, Mixed Pooling for Convolutional Neural Networks, The 9th International Conference on Rough Sets and Knowledge Technology (RSKT'14), LNAI 8818, pp. 364-375, Oct. 24-26, 2014.

• Bowen Zhang, Yun Yi, Hanli Wang, and Jian Yu, MIC-TJU at MediaEval Violent Scenes Detection (VSD) 2014, MediaEval 2014 Workshop, Barcelona, Spain, Oct. 16-17, 2014.

2013

• Zhihua Wei, Hanli Wang, and Rui Zhao, Semi-supervised Multi-label Image Classification Based on Nearest Neighbor Editing, Neurocomputing, vol. 119, pp. 462-468, Apr. 2013.

• Tiesong Zhao, Sam Kwong, Hanli Wang, Zhou Wang, Zhaoqing Pan, and C.-C. Jay Kuo, Multiview Coding Mode Decision with Hybrid Optimal Stopping Model, IEEE Transactions on Image Processing, vol. 22, no. 4, pp. 1598-1609, Apr. 2013.

• Long Xu, Sam Kwong, Hanli Wang, Debin Zhao, and Wen Gao, Rate Control for Consistent Visual Quality of H.264/AVC Encoding, Signal Processing: Image Communication, vol. 28, no. 1, pp. 20-33, Jan. 2013.

• Hanli Wang, Yue Heng, Tiesong Zhao, and Bo Xiao, Fast Mode Decision Based on Optimal Stopping Theory for Multiview Video Coding, 2013 International Conference on Multimedia Modeling (MMM'13) , Part II, LNCS 7733, pp. 176-186, Jan. 7-9, 2013.

• Wei Wang, Dong Guo, Guosun Zeng, Hanli Wang, and Haoyang Wei, Parallel Time-space Processing Model based Fast N-body Simulation on GPUs, 2013 International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM'13), Shenzhen, China, pp. 63-69, Feb. 23-27, 2013.

2012

• Sudeng Hu, Hanli Wang, and Sam Kwong, Adaptive Quantization Parameter Clip Scheme for Smooth Quality in H.264/AVC, IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1911-1919, Apr. 2012.

• Tiesong Zhao, Sam Kwong, Hanli Wang, and C.-C. Jay Kuo, H.264/SVC Mode Decision Based on Optimal Stopping Theory, IEEE Transactions on Image Processing, vol. 21, no. 5, pp. 2607-2618, May 2012.

• Sudeng Hu, Hanli Wang, Sam Kwong, and C.-C. Jay Kuo, Novel Rate-Quantization Model based Rate Control with Adaptive Initialization for Spatial Scalable Video Coding, IEEE Transactions on Industrial Electronics, vol. 59, no. 3, pp. 1673-1684, Mar. 2012.

• Long Xu, Sam Kwong, Hanli Wang, Yun Zhang, Debin Zhao, and Wen Gao, A Universal Rate Control Scheme for Video Transcoding, IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 4, pp. 489-501, Apr. 2012.

• Lu Fang, Oscar C. Au, Yan Chen, Aggelos Katsaggelos, Hanli Wang, and Xing Wen, Joint Demosaicking and Subpixel-Based Down-Sampling for Bayer Images: A Fast Frequency-Domain Analysis Approach, IEEE Transactions on Multimedia, vol. 14, no. 4, pp. 1359-1369, Aug. 2012.

• Lu Fang, Oscar C. Au, Ketan Tang, Xing Wen, and Hanli Wang, Novel 2-D MMSE Subpixel-Based Image Down-Sampling, IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 5, pp. 740-753, May 2012.

• Wei Wang, Guosun Zeng, Jing Yao, Hanli Wang, and Daizhong Tang, Towards Reliable Self-clustering Mobile Ad Hoc Networks, Computers and Electrical Engineering, vol. 38, no. 3, pp. 551-562, May 2012.

• Hanli Wang, Yun Shen, Lei Wang, Kuangtian Zhufeng, Wei Wang, and Cheng Cheng, Large-Scale Multimedia Data Mining Using MapReduce Framework, 2012 IEEE International Conference on Cloud Computing Technology and Science (CloudCom'12), Taipei, Taiwan, pp. 287-292, Dec. 3-6, 2012.

• Tiesong Zhao, Yun Zhang, Sam Kwong, Hanli Wang, and Qian Chen, Adaptive Rate-Distortion Prediction for Multiple Reference Selection and Inter-Mode Decision, 2012 Pacific-Rim Conference on Multimedia (PCM'12), LNCS 7674, pp. 484-491, Dec. 4-6, 2012.

• Cheng Cheng and Hanli Wang, Quality Assessment for Color Images with Tucker Decomposition, 2012 IEEE International Conference on Image Processing (ICIP'12), Orlando, Florida, USA, pp. 1489-1492, Sept. 30-Oct. 3, 2012.

• Lu Fang, Oscar Au, Jingjing Dai, Hanli Wang and Ngai-Man Cheung, Analytical Study of RGB Vertical Stripe and RGBX Square-shaped Subpixel Arrangements, 2012 IEEE International Conference on Image Processing (ICIP'12), Orlando, Florida, USA, pp. 333-336, Sept. 30-Oct. 3, 2012.

2011

• Sudeng Hu, Hanli Wang, Sam Kwong, Tiesong Zhao, and C.-C. Jay Kuo, Rate Control Optimization for Temporal-Layer Scalable Video Coding, IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 8, pp. 1152-1162, Aug. 2011.

• Tiesong Zhao, Hanli Wang, Sam Kwong, C.-C. Jay Kuo, and Wolfgang A. Halang, Hierarchical B-picture Mode Decision in H.264/SVC, Journal of Visual Communication and Image Representation, vol. 22, no. 7, pp. 627-633, Oct. 2011.

• Yun Zhang, Sam Kwong, Gangyi Jiang, and Hanli Wang, Efficient Multi-Reference Frame Selection Algorithm for Hierarchical B Pictures in Multiview Video Coding, IEEE Transactions on Broadcasting, vol. 57, no. 1, pp. 15-23, Mar. 2011.

• Cheng Cheng and Hanli Wang, Image Quality Assessment Using Sparse Representation in ICA Domain, 2011 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC'11), Xi'an, China, pp. 1047-1050, Oct. 18-21, 2011.

• Jingjing Cao, Hanli Wang, Sam Kwong, and Ke Li, Combining Interpretable Fuzzy Rule-Based Classifiers via Multi-Objective Hierarchical Evolutionary Algorithm, 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC'11), Anchorage, Alaska, pp. 1771-1776, Oct. 9-12, 2011.

2010

• Tiesong Zhao*, Hanli Wang*, Sam Kwong, and C.-C. Jay Kuo, Fast Mode Decision Based on Mode Adaptation, IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 5, pp. 697-705, May 2010. (* Joint first authors contributed equally to this work.)

• Sudeng Hu, Hanli Wang, Sam Kwong, and Tiesong Zhao, Frame Level Rate Control for H.264/AVC with Novel Rate-Quantization Model, 2010 IEEE International Conference on Multimedia and Expo (ICME'10), Singapore, pp. 226-231, Jul. 19-23, 2010.

• Tiesong Zhao, Hanli Wang, and Sam Kwong, Fast Inter-Layer Mode Decision in Scalable Video Coding, 2010 IEEE International Conference on Image Processing (ICIP'10), Hong Kong, China, pp. 4221-4224, Sept. 26-29, 2010.

• Tiesong Zhao, Hanli Wang, Sam Kwong, and Sudeng Hu, Probability-Based Coding Mode Prediction for H.264/AVC, 2010 IEEE International Conference on Image Processing (ICIP'10), Hong Kong, China, pp. 3389-3392, Sept. 26-29, 2010.

• Yi Hong, Hanli Wang, Sam Kwong, Image Thresholding Based on Random Spatial Sampling and Majority Voting, 2010 International Conference on Machine Learning and Cybernetics (ICMLC'10), Qingdao, China, pp. 746-751, Jul. 11-14, 2010.

• Sudeng Hu, Tiesong Zhao, Hanli Wang, and Sam Kwong, Fast Inter-mode Decision Based on Rate-Distortion Cost Characteristics, 2010 Pacific-Rim Conference on Multimedia (PCM'10), Part II, LNCS 6298, Shanghai, China, pp. 145-155, Sept. 22-24, 2010.

2009

• Xiangyang Ji, Sam Kwong, Debin Zhao, Hanli Wang, C.-C. Jay Kuo, and Qionghai Dai, Early Determination of Zero-Quantized 8x8 DCT Coefficients, IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 12, pp. 1755-1765, Dec. 2009.

• Yi Hong, Sam Kwong, Hanli Wang, and Qingsheng Ren, Resampling-Based Selective Clustering Ensembles, Pattern Recognition Letters, vol. 30, no. 3, pp. 298-305, Feb. 2009.

• Yi Hong, Sam Kwong, and Hanli Wang, Decision-Based Median Filter Using K-Nearest Noise-Free Pixels, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'09), Taiwan, pp. 1193-1196, Apr. 19-24, 2009.

2008

• Hanli Wang and Sam Kwong, Prediction of Zero Quantized DCT Coefficients in H.264 Using Hadamard Transformed Information, IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 4, pp. 510-515, Apr. 2008.

• Hanli Wang and Sam Kwong, Rate-Distortion Optimization of Rate Control for H.264 with Adaptive Initial Quantization Parameter Determination, IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 1, pp. 140-144, Jan. 2008.

• Tiesong Zhao, Hanli Wang, Xiangyang Ji, and Sam Kwong, Two-Dimensional Map Based Fast Mode Decision for H.264/AVC, 2008 Pacific-Rim Conference on Multimedia (PCM'08), LNCS 5353, pp. 148-157, Dec. 9-13, 2008.

• Yi Hong, Sam Kwong, Hanli Wang, Zhihui Xie, and Qingsheng Ren, SVPCGA: Selection on Virtual Population Based Compact Genetic Algorithm, 2008 IEEE Congress on Evolutionary Computation (CEC'08), pp. 265-272, Jun. 1-6, 2008.

• Yi Hong, Sam Kwong, Hanli Wang, Qingsheng Ren, and Yuchou Chang, Probabilistic and Graphical Model based Genetic Algorithm Driven Clustering with Instance-Level Constraints, 2008 IEEE Congress on Evolutionary Computation (CEC'08), pp. 322-329, Jun. 1-6, 2008.

2007

• Hanli Wang, Sam Kwong, and Chi-Wah Kok, An Efficient Mode Decision Algorithm for H.264/AVC Encoding Optimization, IEEE Transactions on Multimedia, vol. 9, no. 4, pp. 882-888, Jun. 2007.

• Hanli Wang and Sam Kwong, Hybrid Model to Detect Zero Quantized DCT Coefficients in H.264, IEEE Transactions on Multimedia, vol. 9, no. 4, pp. 728-735, Jun. 2007.

• Hanli Wang, Sam Kwong, and Chi-Wah Kok, Efficient Predictive Model of Zero Quantized DCT Coefficients for Fast Video Encoding, Image and Vision Computing, vol. 25, no. 6, pp. 922-933, Jun. 2007.

• Chi-Ho Tsang, Sam Kwong, and Hanli Wang, Genetic-Fuzzy Rule Mining Approach and Evaluation of Feature Selection Techniques for Anomaly Intrusion Detection, Pattern Recognition, vol. 40, no. 9, pp. 2373-2391, Sept. 2007.

• Hanli Wang and Sam Kwong, A Rate-Distortion Optimization Algorithm for Rate Control in H.264, 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'07), Honolulu, Hawaii, USA, Vol. I, pp. 1149-1152, Apr. 15-20, 2007.

• Hanli Wang and Sam Kwong, Gaussian Model Based Approach to Reducing DCT Computations in H.264, 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'07), Honolulu, Hawaii, USA, Vol. I, pp. 1141-1144, Apr. 15-20, 2007.

2006

• Hanli Wang, Sam Kwong, and Chi-Wah Kok, Efficient Prediction Algorithm of Integer DCT Coefficients for H.264/AVC Optimization, IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, no. 4, pp. 547-552, Apr. 2006.

• Hanli Wang, Ming-Yan Chan, Sam Kwong, and Chi-Wah Kok, Novel Quantized DCT for Video Encoder Optimization, IEEE Signal Processing Letters, vol. 13, no. 4, pp. 205-208, Apr. 2006.

• Hanli Wang, Sam Kwong, Chi-Wah Kok, and Ming-Yan Chan, Zero-Quantised Discrete Cosine Transform Prediction Technique for Video Encoding, IEE Proceedings of Vision, Image & Signal Processing, vol. 153, no. 5, pp. 677-683, Oct. 2006.

• Hanli Wang, Sam Kwong, Yaochu Jin, and Chi-Ho Tsang, Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems, Springer Series on Studies in Computational Intelligence: Multi-Objective Machine Learning, Springer, Berlin Heidelberg, pp. 339-364, Feb. 2006.

• Hanli Wang, Sam Kwong, and Chi-Wah Kok, Effectively Detecting All-Zero DCT Blocks for H.264 Optimization, 2006 IEEE International Conference on Image Processing (ICIP'06), Atlanta, USA, pp. 1329-1332, Oct. 8-11, 2006.

• Hanli Wang, Sam Kwong, and Chi-Wah Kok, Analytical Model of Zero Quantized DCT Coefficients for Video Encoder Optimization, 2006 IEEE International Conference on Multimedia & Expo (ICME'06), Toronto, Canada, pp. 801-804, Jul. 9-12, 2006.

• Hanli Wang, Sam Kwong, and Chi-Wah Kok, Fast Video Coding Based on Gaussian Model of DCT Coefficients, 2006 IEEE International Symposium on Circuits and Systems (ISCAS'06), Kos Island, Greece, pp. 1703-1706, May 21-24, 2006.

2005

• Hanli Wang, Sam Kwong, Yaochu Jin, Wei Wei, and K. F. Man, Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction, IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, vol. 35, no. 2, pp. 143-155, May 2005.

• Hanli Wang, Sam Kwong, Yaochu Jin, Wei Wei, and K. F. Man, Multi-Objective Hierarchical Genetic Algorithm for Interpretable Fuzzy Rule-Based Knowledge Extraction, Fuzzy Sets and Systems, vol. 149, no. 1, pp. 149-186, Jan. 2005.

• Hanli Wang and Sam Kwong, Preferential Multi-Objective Genetic Algorithm for JPEG Quantization Table Optimization, Dynamics of Continuous, Discrete and Impulsive Systems, Series B: Applications and Algorithms 2 (Special Issue), pp. 608-613, Jul. 2005.

• Hanli Wang and Sam Kwong, Novel Variance Based Approach to Improving JPEG Decoding, 2005 IEEE International Conference on Industrial Technology (ICIT'05), Hong Kong, pp. 475-479, Dec. 14-17, 2005.

• Chi-Ho Tsang, Sam Kwong, and Hanli Wang, Anomaly Intrusion Detection using Multi-Objective Genetic Fuzzy System and Agent-based Evolutionary Computation Framework, 2005 IEEE International Conference on Data Mining (ICDM'05), Houston, Texas, USA, pp. 789-792, Nov. 27-30, 2005.

2004

• Q. Y. Hong, S. Kwong, and H. L. Wang, Optimization of Gaussian Mixture Model Parameters for Speaker Identification, Genetic and Evolutionary Computation Conference (GECCO'04), LNCS 3103, Washington, USA, pp. 1310-1311, Jun. 26-30, 2004.