Data Science, Machine Learning, and Optimization
2024
- Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
Song Xia, Yi Yu, Xudong Jiang, and Henghui Ding, 2024 International Conference on Learning Representations (ICLR) - Purify Unlearnable Examples via Rate-Constrained Variational AutoencodersYi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot, 2024 International Conference on Machine Learning (ICML)
- Concept Alignment: Integrating Clinical
Winnie Pang, Xueyi Ke, Satoshi Tsutsui, and Bihan Wen, 2024 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) - Pace-adaptive and Noise-resistant Contrastive Learning for Multimodal Feature Fusion
Xiaobao Guo, Adams Wai-Kin Kong, and Alex C. Kot, IEEE Transactions on Multimedia (TMM)
2023
- Graph Neural Networks With Triple Attention for Few-Shot Learning
Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen, 2023 IEEE Transactions on Multimedia (TMM) - Pace-adaptive and Noise-resistant Contrastive Learning for Multimodal Feature Fusion
Xiaobao Guo, Adams Wai-Kin Kong, and Alex C. Kot, 2023 IEEE Transactions on Multimedia (TMM)
2022
- Rethinking Attention-Model Explainability through Faithfulness Violation Test
Yibing Liu, Haoliang Li, Yangyang Guo, Chenqi Kong, Jing Li, Shiqi Wang, 2022 The 39th International Conference on Machine Learning (ICML) - Attentive Graph Neural Networks for Few-Shot Learning
Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen, 2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR) - Towards Domain Generalized Pruning by Scoring Out-Of-Distribution Importance
Rizhao Cai, Haoliang Li, Alex Kot, 36th Neural Information Processing Systems (NeurIPS 2022) Workshop on Distribution Shifts - Deep Multimodal Sequence Fusion by Regularized Expressive Representation Distillation
Xiaobao Guo, Kong Wai-Kin Adams, and Alex C. Kot, 2022 IEEE Transactions on Multimedia (TMM) - Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore
Tian Lan, Hao Cheng, Yi Wang, Bihan Wen, 2022 Remote Sensing - Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning
Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels, 2022 IEEE Transactions on Intelligent Transportation Systems - TEMPO: A Transformer-based Mutation Prediction Framework for SARS-CoV-2 Evolution
Binbin Zhou, Hang Zhou, Xue Zhang, Xiaobin Xu, Yi Chai, Zengwei Zheng, Alex C. Kot, and Zhan Zhou, 2022 Computers in Biology and Medicine
2021
- Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex Kot, 19 Nov 2021, IEEE Internet of Things Journal 2021 - Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Yufei Wang, Haoliang Li, Lap-pui Chau, Alex C. Kot, 20-24 Oct 2021, ACM Multimedia (ACMM) 2021 - AI-GAN: Attack-Inspired Generation of Adversarial Examples
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot, 19-22 Sept 2021, IEEE Internet of Things Journal 2021 - DisP+V: A Unified Framework for Disentangling Prototype and Variation from Single Sample per Person
Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yiran Chen, Bihan Wen, IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2021 - Deep Learning Based Joint Detection for OFDM-NOMA Scheme
Yihang Xie, Kah Chan Teh, Alex C. Kot, IEEE Communications Letters 2021 - VD-GAN: A Unified Framework for Joint Prototype and Representation Learning from Contaminated Single Sample per Person
Meng Pang, Binghui Wang, Yiu-ming Cheung, Yiran Chen, Bihan Wen, IEEE Transactions on Information Forensics and Security (TIFS) 2021
2020
- Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Haoliang Li, Yufei Wang, Renjie Wan, Shiqi Wang, Tie-Qing Li, Alex C. Kot, Conference on Neural Information Processing Systems (NeurIPS) 2020 - Improving Robustness of DNNs against Common Corruptions via Gaussian Adversarial Training
Chenyu Yi, Haoliang Li, Renjie Wan, Alex C. Kot, IEEE International Conference on Visual Communications and Image Processing (VCIP) 2020 - Unsupervised Domain Adaptation in the Wild via Disentangling Represention Learning
Haoliang Li, Renjie Wan, Siqi Wang, Alex C. Kot, International Journal of Computer Vision (IJCV) 2020 - Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection
Zhonghua Wu, Qingyi Tao, Guosheng Lin, Jianfei Cai, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020 - A Hybrid Structural Sparse Error Model for Image Deblocking
Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020 - Heterogeneous Domain Generalization via Domain Mixup
Yufei Wang, Haoliang Li, Alex C. Kot, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
2019
- Pruning 3D Filters for Accelerating 3D ConvNets
Zhenzhen Wang, Weixiang Hong, Yap-Peng Tan, Junsong Yuan, IEEE Transactions on Multimedia (TMM) 2019 - Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization
Haoliang Li (NTU), Sinno Jialin Pan (NTU), Shiqi Wang (PKU), Alex C. Kot (NTU), IEEE Transactions on Neural Networks and Learning Systems 2019 - Hetergeneous oTransfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
HL Li, S Wang, RJ Wan, Alex Kot, AAAI, Honolulu, Hawaii, USA 2019
2018
- Inf2vec: Latent Representation Model for Social Influence Embedding
Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Chee Yeow Meng, IEEE International Conference on Data Engineering (ICDE) 2018 - Deep Representation Learning for Trajectory Similarity Computation
Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, IEEE International Conference on Data Engineering (ICDE) 2018 - Autoregressive Generative Adversarial Networks
Yasin Yazıcı, Kim-Hui Yap, Stefan Winkler, Sixth International Conference on Learning Representations (ICLR) 2018 - Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models
Jiuxiang Gu, Jianfei Cai, Shafiq Joty, Li Niu, Gang Wang, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 - Recent advances in convolutional neural networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, Tsuhan Chen, Pattern Recognition (PR), Vol 77 (2018): 354-377, 2018 - Improved Network Robustness with Adversary Critic
Alexander Matyasko and Lap-Pui Chau, Conference on Neural Information Processing Systems 2018 - Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement
Li Niu, Jianfei Cai, Ashok Veeraraghavan, Liqing Zhang, IEEE Transactions on Image Processing (TIP) 2018 - Brand-Aware Fashion Clothing Search using CNN Feature Encoding and Re-ranking
Dipu Manandhar, Kim Hui Yap, Muhammet Bastan, Zhao Heng, IEEE International Symposium on Circuits & Systems (ISCAS) 2018 - Domain Generalization with Adversarial Feature Learning
Haoliang Li, Sinno Jialin Pan, Shiqi Wang and Alex C. Kot, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
2017
- Discovering Pollution Sources and Propagation Patterns in Urban Area
Xiucheng Li, Yun Cheng, Gao Cong, Lisi Chen, 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2017 - DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
Jason Kuen, Xiangfei Kong, Gang Wang, Yap Peng Tan, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 - S-CNN: Subcategory-Aware Convolutional Networks for Object Detection
Chen, Tao, Shijian Lu, and Jiayuan Fan, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2017
2016
- Topic Exploration in Spatio-Temporal Document Collections
Kaiqi Zhao, Lisi Chen, Gao Cong, ACM SIGMOD/PODS Conference 2016 - Towards Personalized Maps: Mining User Preferences from Geotextual Data
Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong, 42nd Internatiional Conference on Very Large Data Bases (VLDB) 2016 - A System for Region Search and Exploration
Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong, 42nd International Conference on Very Large Data Bases (VLDB) 2016 - Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
Jinghua Wang, Zhenhua Wang, Dacheng Tao, Simon See, Gang Wang, European Conference on Computer Vision (ECCV) 2016
2015
- Efficient Algorithms for Answering the m-Closest Keywords Query
Tao Guo, Xin Cao, Gao Cong, Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) 2015 - Recent Advances in Convolutional Neural Networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Li Wang, Gang Wang, Jianfei Cai, Tsuhan Chen, arXiv preprint, arXIV: 1512.07108, 2015 - Visual Product Search for Fashion Domain: From Hand-crafted features to Deep Learning
Huijing Zhan, Yan Wang, Abrar H. Abdulnabi, Sheng Li, Dennis Sng, Alex C. Kot,Simon See, Princess Maha Chakri Sirindhorn Congress Interdisciplinary Approach to Sustainable Research and Developments (INRIT 2015) - Integrating Parametric and Non-parametric Models For Scene Labeling
Bing Shuai, Gang Wang, Zhen Zuo, Bing Wang, Lifan Zhao, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) - Multi-Manifold Deep Learning for Image Set Classification
Jiwen Lu , Gang Wang, Weihong Deng, Pierre Moulin, Jie Zhou, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)
2014
- Learning Discriminative Hierarchical Features for Object Recognition
Zhen Zuo, Gang Wang, IEEE Signal Processing Letters, Vol.21, Issue 9, pp.1159 - 1163, Jan 2014 - Learning Discriminative and Shareable Features for Scene Classification
Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang, Xudong Jiang, European Conference on Computer Vision (ECCV) 2014
2013
- Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs
Jinpeng Wang, Wayne Xin Zhao, Haitian Wei, Hongfei Yan, Xiaoming Li, Conference on Empirical Methods in Natural Language Processing (EMNLP 2013) - Recognizing trees at a distance with discriminative deep feature learning
Zhen Zuo, Gang Wang,9th International Conference on Information, Communications and Signal Processing (ICICS 2013)
2012
- One Seed to Find Them All: Mining Opinion Features via Association
Zhen Hai, Kuiyu Chang, Gao Cong, Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM 2012)