Publications

 Zhang, G., Lin, W., kumar Chandran, A., & Jing, X. (2023). Complementary networks for person re-identification. Information Sciences, 633, 70-84. (Link)

Zhang, G., Zhang, H., Lin, W., Chandran, A. K., & Jing, X. (2023). Camera Contrast Learning for Unsupervised Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. (Link)

Zhou, J., Wu, Y., Cao, Z., Song, W., Zhang, J., & Chen, Z. (2023). Learning large neighborhood search for vehicle routing in airport ground handling. IEEE Transactions on Knowledge and Data Engineering. (Link)

Zou, J., Sun, A., Long, C., Aliannejadi, M., & Kanoulas, E. (2023). Asking Clarifying Questions: To benefit or to disturb users in Web search?. Information Processing & Management, 60(2), 103176. (Link)

LIU, S., Li, X., Cong, G., Chen, Y., & JIANG, Y. Multivariate Time-series Imputation with Disentangled Temporal Representations. In The Eleventh International Conference on Learning Representations. (Link)

Xing, Y., Guan, D., Huang, J., & Lu, S. (2022, November). Domain adaptive video segmentation via temporal pseudo supervision. In Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXX (pp. 621-639). Cham: Springer Nature Switzerland. (Link)

Chen, Y., Yang, X., Cham, T. J., & Cai, J. (2022, October). Towards unbiased visual emotion recognition via causal intervention. In Proceedings of the 30th ACM International Conference on Multimedia (pp. 60-69). (Link)

Hu, B., & Cham, T. J. (2022, October). Entry-Flipped Transformer for Inference and Prediction of Participant Behavior. In Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part IV (pp. 439-456). Cham: Springer Nature Switzerland. (Link)

Song, G., Cham, T. J., Cai, J., & Zheng, J. (2022, October). Real-time shadow-aware portrait relighting in virtual backgrounds for realistic telepresence. In 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (pp. 729-738). IEEE. (Link)

Yan, Z., Tan, R., Song, Q., & Lu, C. X. (2022, October). Telesonar: Robocall Alarm System by Detecting Echo Channel and Breath Timing. In The 20th ACM Conference on Embedded Networked Sensor Systems, 2022. (Link)

Chia, B. X., Teo, W. J., Swa, J. X., Yean, S., Lee, B. S., Oh, H. L., & Theng, Y. L. (2022, August). Design Principles and Considerations for a Localisation App for Caregivers of People with Dementia. In 2022 International Conference on Platform Technology and Service (PlatCon) (pp. 19-24). IEEE. (Link)

Zou, J., Kanoulas, E., Ren, P., Ren, Z., Sun, A., & Long, C. (2022, July). Improving conversational recommender systems via transformer-based sequential modelling. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2319-2324). (Link)

Jiang, Y., Wu, Y., Cao, Z., & Zhang, J. (2022, June). Learning to solve routing problems via distributionally robust optimization. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 9, pp. 9786-9794). (Link)

Xue, W., An, B., & Yeo, C. K. (2022, June). NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 4, pp. 4646-4653). (Link)

Xiao, A., Huang, J., Guan, D., Zhan, F., & Lu, S. (2022, June). Transfer learning from synthetic to real lidar point cloud for semantic segmentation. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 3, pp. 2795-2803). (Link)

Wang, R., Yan, Z., Wu, Y., Tan, R., & Lu, C. X. (2022, May). Demo Abstract: 3D Simultaneous Localization and Mapping with Power Network Electromagnetic Radiation. In 2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (pp. 491-492). IEEE. (Link)

Teo, W. J., Yean, S., Lim, B. Z., Oh, H. L., & Lee, B. S. (2022). SingTRACeX: Navigation System to Address Wandering Behavior for Elders and Their Caregivers. Computing and Informatics, 41(2), 646-664. (Link)

Iyer, S., Zhao, L., Mohan, M. P., Jimeno, J., Siyal, M. Y., Alphones, A., & Karim, M. F. (2022). mm-Wave Radar-Based Vital Signs Monitoring and Arrhythmia Detection Using Machine Learning. Sensors, 22(9), 3106. (Link)

Yan, X., & Loke, Y. R. (2022). RainGAN: Unsupervised Raindrop Removal via Decomposition and Composition. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 14-23). (Link)

Huang, J., Guan, D., Xiao, A., Lu, S., & Shao, L. (2022). Category contrast for unsupervised domain adaptation in visual tasks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1203-1214). (Link)

Guan, D., Huang, J., Xiao, A., & Lu, S. (2022). Unbiased subclass regularization for semi-supervised semantic segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 9968-9978). (Link)

Ahn, C. S., Kasun, C., Sivadas, S., & Rajapakse, J. (2022). Recurrent multi-head attention fusion network for combining audio and text for speech emotion recognition}}. Proc. Interspeech 2022, 744-748. (Link)

Zheng, C., Cham, T. J., Cai, J., & Phung, D. (2022). Bridging global context interactions for high-fidelity image completion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 11512-11522). (Link)

Singh, G., Wu, M., Do, M. V., & Lam, S. K. (2022). Fast Semantic-Aware Motion State Detection for Visual SLAM in Dynamic Environment. IEEE Transactions on Intelligent Transportation Systems, 23(12), 23014-23030. (Link)

Luo, W., Song, Q., Yan, Z., Tan, R., & Lin, G. (2022). Indoor Smartphone SLAM with Learned Echoic Location Features. arXiv preprint arXiv:2210.08493. (Link)

Wenjie Luo, Zhenyu Yan, Qun Song, and Rui Tan. 2022. Physics-directed Data Augmentation for Deep Model Transfer to Specific Sensor. ACM Trans. Sen. Netw. 19, 1, Article 21 (February 2023), 30 pages. (Link)

Mohan, M. P., Zhao, L., Jimeno, J., Alphones, A., Siyal, M. Y., & Karim, M. F. (2021, December). Design of stub loaded transmission line matching circuit for series fed patch array. In 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI) (pp. 1279-1280). IEEE. (Link)

Chen, Z., Cong, G., & Aref, W. G. (2021, November). STAR: A Cache-based Distributed Warehouse System for Spatial Data Streams. In Proceedings of the 29th International Conference on Advances in Geographic Information Systems (pp. 606-615). (Link)

Singh, G., Wu, M., & Lam, S. K. (2021, September). Hierarchical Loop Closure Detection for Long-term Visual SLAM with Semantic-Geometric Descriptors. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (pp. 2909-2916). IEEE. (Link)

Song, G., Cham, T. J., Cai, J., & Zheng, J. (2021, September). Half‐body Portrait Relighting with Overcomplete Lighting Representation. In Computer Graphics Forum (Vol. 40, No. 6, pp. 371-381). (Link)

Chen, Y., Li, X., Cong, G., Bao, Z., Long, C., Liu, Y., Chandran, A.K., & Ellison, R. (2021, October). Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (pp. 211-220). (Link)

Wu, X., Liu, Y., Tang, X., Cai, W., Bai, F., Khonstantine, G., & Zhao, G. (2021, July). Multi-Agent Pickup and Delivery with Task Deadlines. In Proceedings of the International Symposium on Combinatorial Search (Vol. 12, No. 1, pp. 206-208). (Link)

Wu, P., & Cong, G. (2021, June). A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. In Proceedings of the 2021 International Conference on Management of Data (pp. 2009-2022). (Link)

Nguyen, T. N. T., Nguyen, N. K., Phan, H., Pham, L., Ooi, K., Jones, D. L., & Gan, W. S. (2021, June). A general network architecture for sound event localization and detection using transfer learning and recurrent neural network. In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 935-939). IEEE. (Link)

Xin, L., Song, W., Cao, Z., & Zhang, J. (2021, May). Multi-decoder attention model with embedding glimpse for solving vehicle routing problems. In Proceedings of 35th AAAI Conference on Artificial Intelligence. (Link)

Luo, W., Yan, Z., Song, Q., & Tan, R. (2021, May). PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems. In Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021) (pp. 31-46). (Link)

Guo, D., Luo, W., Gu, C., Wu, Y., Song, Q., Yan, Z., & Tan, R. (2021). Demo Abstract: Infrastructure-Free Smartphone Indoor Localization Using Room Acoustic Responses. (Link)

Wu, X., Liu, Y., Tang, X., Cai, W., Bai, F., Khonstantine, G., & Zhao, G. (2021). Multi-Agent Pickup and Delivery with Task Deadlines. In Proceedings of the 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). (Link)

Huang, J., Guan, D., Xiao, A., & Lu, S. (2021). Model adaptation: Historical contrastive learning for unsupervised domain adaptation without source data. Advances in Neural Information Processing Systems, 34, 3635-3649. (Link)

Wu, Y., Song, W., Cao, Z., & Zhang, J. (2021). Learning large neighborhood search policy for integer programming. Advances in Neural Information Processing Systems, 34, 30075-30087. (Link)

Huang, J., Guan, D., Xiao, A., & Lu, S. (2021). Rda: Robust domain adaptation via fourier adversarial attacking. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 8988-8999). (Link)

Guan, D., Huang, J., Xiao, A., Lu, S., & Cao, Y. (2021). Uncertainty-aware unsupervised domain adaptation in object detection. IEEE Transactions on Multimedia, 24, 2502-2514. (Link)

Yean, S., Somani, P., Lee, B. S., & Oh, H. L. (2021). GAN+: Data Augmentation Method using Generative Adversarial Networks and Dirichlet for Indoor. (Link)

Zheng, C., Dao, D. S., Song, G., Cham, T. J., & Cai, J. (2021). Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition. International Journal of Computer Vision, 129(12), 3195-3215. ( Link)

Zhang, G., Chen, Y., Lin, W., Chandran, A., & Jing, X. (2021). Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification. In IJCAI, 1295-1301. (Link)

Xue, W., Zhang, Y., Li, S., Wang, X., An, B., & Yeo, C. K. (2021). Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. In IJCAI, 3713–3720. (Link)

Li, S., Zhang, Y., Wang, X., Xue, W., & An, B. (2021). CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. In IJCAI, 3663–3669. (Link)

Zheng, C., Dao, D. S., Song, G., Cham, T. J., & Cai, J. (2021). Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition. International Journal of Computer Vision, 129(12), 3195-3215. (Link)

Huang, J., Guan, D., Xiao, A., & Lu, S. (2021). Rda: Robust domain adaptation via fourier adversarial attacking. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 8988-8999). (Link)

He, W., Wu, M., & Lam, S. K. (2021). ACSL: Adaptive correlation-driven sparsity learning for deep neural network compression. Neural Networks, 144, 465-477. (Link)

Chen, Z., Chen, L., Cong, G., & Jensen, C. S. (2021). Location-and keyword-based querying of geo-textual data: a survey. The VLDB Journal, 30(4), 603-640. (Link)

Guan, D., Huang, J., Xiao, A., & Lu, S. (2021). Domain adaptive video segmentation via temporal consistency regularization. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 8053-8064). (Link)

Xiao, A., Yang, X., Lu, S., Guan, D., & Huang, J. (2021). FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation. ISPRS Journal of Photogrammetry and Remote Sensing, 176, 237-249. (Link)

Zheng, C., Cham, T. J., & Cai, J. (2021). Pluralistic Free-Form Image Completion. International Journal of Computer Vision, 129(10), 2786-2805. (Link)

Huang, J., Guan, D., Xiao, A., & Lu, S. (2021). Fsdr: Frequency space domain randomization for domain generalization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 6891-6902). (Link)

Huang, J., Guan, D., Xiao, A., & Lu, S. (2021). Cross-view regularization for domain adaptive panoptic segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10133-10144). (Link)

Wu, Y., Song, W., Cao, Z., Zhang, J., & Lim, A. (2021). Learning Improvement Heuristics for Solving Routing Problems.. IEEE Transactions on Neural Networks and Learning Systems. (Link) 

Guan, D., Huang, J., Lu, S., & Xiao, A. (2021). Scale variance minimization for unsupervised domain adaptation in image segmentation. Pattern Recognition, 112, 107764. (Link)

Lim, R., Gupta, A., Ong, Y. S., Feng, L., & Zhang, A. N. (2021). Non-linear domain adaptation in transfer evolutionary optimization. Cognitive Computation, 13(2), 290-307. (Link)

He, T., Bai, L., & Ong, Y. S. (2021). Vicinal Vertex Allocation for Matrix Factorization in Networks. IEEE Transactions on Cybernetics. (Link)

Bai, L., Lin, W., Gupta, A., & Ong, Y. S. (2021). From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. IEEE Transactions on Cybernetics. (Link)

Li, J., Xin, L., Cao, Z., Lim, A., Song, W., & Zhang, J. (2021). Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. (Link)

Zhang, Y., & An, B. (2020, November). Converging to team-maxmin equilibria in zero-sum multiplayer games. In International Conference on Machine Learning (pp. 11033-11043). PMLR. (Link)

Yean, S., Lee, B. S., & Oh, H. L. (2020, October). Feature Engineering for Grid-based Multi-Floor Indoor Localisation using Machine Learning. In 2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA) (pp. 142-148). IEEE. (Link)

Huang, J., Lu, S., Guan, D., & Zhang, X. (2020, August). Contextual-relation consistent domain adaptation for semantic segmentation. In European conference on computer vision (pp. 705-722). Springer, Cham. (Link)

Černý, J., Bosanský, B., & An, B. (2020, July). Finite State Machines Play Extensive-Form Games. In Proceedings of the 21st ACM Conference on Economics and Computation (pp. 509-533). (Link)

Kim, J., Guo, T., Feng, K., Cong, G., Khan, A., & Choudhury, F. M. (2020, June). Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (pp. 2199-2209). (Link)

Chen, Z., Cong, G., & Aref, W. G. (2020, June). STAR: A Distributed Stream Warehouse System for Spatial Data. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (pp. 2761-2764). (Link)

Nguyen, T. N. T., Jones, D. L., & Gan, W. S. (2020, May). A Sequence Matching Network for Polyphonic Sound Event Localization and Detection. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 71-75). IEEE. (Link)

Li, X., Cong, G., & Cheng, Y. (2020, April). Spatial Transition Learning on Road Networks with Deep Probabilistic Models. In 2020 IEEE 36th International Conference on Data Engineering (ICDE) (pp. 349-360). IEEE. (Link)

Chen, Y., Long, C., Cong, G., & Li, C. (2020, January). Context-aware deep model for joint mobility and time prediction. In Proceedings of the 13th International Conference on Web Search and Data Mining (pp. 106-114). (Link)

Wang, Y., Deng, C., Liu, D., Xu, Y., & Dai, J. (2020). Unified real power sharing of generator and storage in islanded microgrid via distributed dynamic event-triggered control. IEEE Transactions on Power Systems, 36(3), 1713-1724. (Link)

Song, G., Zheng, J., Cai, J., & Cham, T. J. (2020). Recovering facial reflectance and geometry from multi-view images. Image and Vision Computing, 103897. (Link)

Chen, Y., Chen, Z., Cong, G., Mahmood, A. R., & Aref, W. G. (2020). SSTD: a distributed system on streaming spatio-textual data. Proceedings of the VLDB Endowment, 13(12), 2284-2296. (Link)

Wei, P., Sagarna, R., Ke, Y., & Ong, Y. S. (2020). Easy-but-effective Domain Sub-similarity Learning for Transfer Regression. IEEE Transactions on Knowledge and Data Engineering. (Link)

Xin, L., Song, W., Cao, Z., & Zhang, J. (2020). Step-wise deep learning models for solving routing problems. IEEE Transactions on Industrial Informatics, 17(7), 4861-4871. (Link)

Cerný, J., Lisý, V., Bosanský, B., & An, B. (2020). Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium. In IJCAI (pp. 246-253). (Link)

Xu, X., Xu, Y., Wang, M. H., Li, J., Xu, Z., Chai, S., & He, Y. (2020). Data-driven game-based pricing for sharing rooftop photovoltaic generation and energy storage in the residential building cluster under uncertainties. IEEE Transactions on Industrial Informatics, 17(7), 4480-4491. (Link)

Wang, Z., Long, C., Cong, G., & Liu, Y. (2020). Efficient and effective similar subtrajectory search with deep reinforcement learning. arXiv preprint arXiv:2003.02542. (Link)

Wang, Y., Nguyen, T. L., Xu, Y., Tran, Q. T., & Caire, R. (2020). Peer-to-peer control for networked microgrids: multi-layer and multi-agent architecture design. IEEE Transactions on Smart Grid, 11(6), 4688-4699. (Link)

Yan, Z., & Xu, Y. (2020). A multi-agent deep reinforcement learning method for cooperative load frequency control of a multi-area power system. IEEE Transactions on Power Systems, 35(6), 4599-4608. (Link)

Nguyen, T. N. T., Gan, W. S., Ranjan, R., & Jones, D. L. (2020). Robust source counting and DOA estimation using spatial pseudo-spectrum and convolutional neural network. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28, 2626-2637. (Link)

Chew, B. S. H., Xu, Y., & Yuan, D. H. (2019, December). Non Intrusive Load Monitoring for Industrial Chiller Plant System - A Long Short Term Memory Approach. In 2019 9th International Conference on Power and Energy Systems (ICPES) (pp. 1-5). IEEE. (Link)

Yuan, D. H., Chew, B. S. H., & Xu, Y. (2019, December). A Time Series Data Feature Based Back Propagation Neural Network Approach for Non-intrusive Load Monitoring. In 2019 9th International Conference on Power and Energy Systems (ICPES) (pp. 1-5). IEEE. (Link)

Li, X., Cong, G., Sun, A., & Cheng, Y. (2019, May). Learning travel time distributions with deep generative model. In The World Wide Web Conference (pp. 1017-1027). (Link)

Ranjan, R., Jayabalan, S., Nguyen, T. N. T., & Gan, W. S. (2019). Sound Event Detection and Direction of Arrival Estimation using Residual Net and Recurrent Neural Networks. (Link)