Machine Intelligence Lab (MiLAB)

[84] H. Zhang, S. Yang, D. Wang*, "A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning", International Joint Conference on Neural Networks (IJCNN), 2024.

[83] X. Yang, J. Song, X. Zhang, D. Wang*, "Adaptive Spiking TD3+BC for Offline-to-Online Spiking Reinforcement Learning", International Joint Conference on Neural Networks (IJCNN), 2024.

[82] T. Liu, X. Liu, S. Huang, H. Chen, Q. Yin, L. Qin, D. Wang, Y. Hu*, "DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual Grounding", The IEEE International Conference on Multimedia Expo (ICME), 2024.

[81] M. Zhang, Z. Zhuang, Z. Wang, D. Wang*, "RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning. IEEE International Conference on Multimedia and Expo (ICME), 2024.

[80] S. Huang, B. Gong, Y. Feng, M. Zhang, Y. Lv, D. Wang*, "Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[79] S. Huang, B. Gong, Y. Feng, X. Chen, Y. Fu, Y. Liu, D. Wang*, "Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[78] S. Gai, S. Lyu, H. Zhang, D. Wang *, "Continual Reinforcement Learning for Quadruped Robot Locomotion", Entropy, 2024.

[77] X. Liu, S. Huang, Y. Kang, H. Chen, D. Wang*, "VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

[76] S. Bai, W. Zhou, S. Huang, Z. Luan, D. Wang*, B. Chen*, "Improving Cross-domain Few-shot Classification with Multilayer Perceptron", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

[75] T. Wang, Z. Wu*, F. Yao, D. Wang*, "Graph-based Environment Representation for Vision-and-Language Navigation in Continuous Environments", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

[74] Z. Chen, T. Xiao, D. Wang*, M. Zhang, "Pareto Graph Self-Supervised Learning", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

[73] J. Liu, Z. Zhang, Z. Wei, Z. Zhuang, Y. Kang, S. Gai, D. Wang*, "Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning", Thirty-Eight AAAI Conference on Artificial Intelligence (AAAI), 2024.

[72] S. Bai, M. Zhang, W. Zhou, S. Huang, Z. Luan, D. Wang*, B. Chen*, "Prompt-based Distribution Alignment for Unsupervised Domain Adaptation", Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.

[71] P. Ding, Q. Cui, H. Wang, M. Zhang, M. Liu, D. Wang*, "Expressive Forecasting of 3D Whole-body Human Motions", Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.

[70] J. Liu, L. He, Y. Kang, Z. Zhuang, D. Wang*, H. Xu, "CEIL: Generalized Contextual Imitation Learning", Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

[69] J. Liu, H. Zhang, Z. Zhuang, Y. Kang, D. Wang*, B. Wang, "Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization", Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

[68] J. Liu, L. Zu,L. He, D. Wang*, "CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning", Conference on Robot Learning (CoRL), 2023.

[67] X. Yang, D. Wang*, J. Pan, C. Li, Y. Shao, "Creating Universum for class imbalance via locality and its application in multiview subspace learning", Information Sciences, 2023.

[66] S.Gai, D. Wang*, L. He, "Offline Experience Replay for Continual Offline Reinforcement Learning," 26th European Conference on Artificial Intelligence (ECAI), 2023.

[65] S. Lyu, H. Zhao, D. Wang*, "A Composite Control Strategy for Quadruped Robot by Integrating Reinforcement Learning and Model-Based Control," 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.

[64] Y. Chen, M. Zhang, D. Li, Y. Tang, H. Ren, J. Li, K. Liang, Y. Wang, L. Wen, W. Li, W. Kong, S. Liu, H. Wang, D. Wang, Bowen Zhu*. Bidirectional Synaptic Phototransistor Based on Two-Dimensional Ferroelectric Semiconductor for Mixed Color Pattern Recognition. Acs Nano, 2023.

[63] Q. Yao, J. Wang, C. Wang, L. Meng, S. Yang, Q. Zhang, D. Wang*, "Adaptive Legged Manipulation: Versatile Disturbance Predictive Control for Quadruped Robots with Robotic Arms," Robotics and Autonomous Systems, 2023.

[62] Y. Kang, D. Shi, J. Liu, L. He, D. Wang*. “Beyond Reward: Offline Preference-guided Policy Optimization,” In Proceedings of the Fortieth International Conference on Machine Learning (ICML-23), 2023.

[61] F. Zhao, M. Zhang, T. Huang, D. Wang*. “TAGM: Task-Aware Graph Model for Few-shot Node Classification,” In Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR-23), 2023.

[60] S. Huang, Q. Wei, D. Wang*. "Reference-Limited Compositional Zero-Shot Learning," In Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR-23), 2023.

[59] Y. Dang, M. Zhang, Z. Chen, X. Zhang, Z. Wang, M. Sun, D. Wang*. "Multi-level Correlation Network for Few-shot Image Classification," 2023 IEEE International Conference on Multimedia and Expo (ICME-23), 2023.

[58] S. Huang, B. Gong, Y. Pan, J. Jiang, Y. Lv, Y. Li, D.Wang*. "VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval," IEEE Conference on Computer Vision and Pattern Recognition (CVPR-23), 2023.

[57] Z. Zhuang, K. Lei, J. Liu, D. Wang*, Y. Guo. "Behavior Proximal Policy Optimization," In Proceedings of The International Conference on Learning Representations (ICLR-23), 2023.

[56] Q. Yao, J. Wang, S. Yang, C. Wang, H. Zhang, Q. Zhang, D. Wang*. "Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning," 2022 IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), 2022.

[55] Q. Yao, J. Wang, S. Yang, C. Wang, L. Meng, Q. Zhang, D. Wang*. "A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control," 2022 IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), 2022.

[54] H. Zhang, L. He, D. Wang*. "Deep reinforcement learning for real-world quadrupedal locomotion: A comprehensive review," Intelligence & Robotics (IR-22), 2022. (Invited paper)

[53] F. Zhao, Z. Zhang, D. Wang*. "KSG: Knowledge and Skill Graph," ACM International Conference on Information and Knowledge Management (CIKM-22), 2022.

[52] T. Huang, K. Xu, D. Wang*. "GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks,” ACM International Conference on Information and Knowledge Management (CIKM-22), 2022.

[51] T. Huang, F. Zhao, D. Wang*. "LGP: Few-Shot Class-Evolutionary Learning on Dynamic Graphs,” ACM International Conference on Information and Knowledge Management (CIKM-22), 2022.

[50] M. Zhang, S. Huang, W. Li, D. Wang*, "Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation," European Conference on Computer Vision (ECCV-22), 2022.

[49] F. Zhao, T. Huang, D. Wang*, "Graph Few-shot Learning via Restructuring Task Graph," IEEE Transactions on Neural Networks and Learning Systems (TNNLS-22), 2022.

[48] Y. Song, D. Wang*, "OODGAT: Learning on Graphs with Out-of-distribution Nodes," ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-22), 2022.

[47] T. Wang, Z. Wu*, Z. Liu, D. Wang*, "Cluster-based Curriculum Learning for Vision-and-Language Navigation," International Joint Conference on Neural Networks (IJCNN-22), 2022.

[46] T. Huang, D. Wang*, Y. Fang, Z. Chen, "End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection," International Joint Conference on Artificial Intelligence (IJCAI-22), 2022.

[45] M. Zhang, S. Huang, D. Wang*, "Domain generalized few-shot image classification via meta regularization network," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-22), 2022.

[44] J. Liu, H. Zhang, D. Wang*, "DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning," International Conference on Learning Representations (ICLR-22), 2022.

[43] J. Liu, D. Wang*, Q. Tian, Z. Chen, "Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning," Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), 2022.

[42] X. Xiang, T. Huang, D. Wang*,"Learning to Evolve on Dynamic Graphs," Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Student Program, 2022.

[41] T. Wang, Z. Wu*, D. Wang*, "Visual Perception Generalization for Vision-and-Language Navigation via Meta-Learning," IEEE Transactions on Neural Networks and Learning Systems (TNNLS-21), 2021.

[40] J. Liu, H. Shen, D. Wang*, Y. Kang, Q. Tian, "Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning," Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS-21), Virtue Meeting, 2021.

[39] F. Zhao, D. Wang*, "Multimodal Graph Meta Contrastive Learning," ACM International Conference on Information and Knowledge Management (CIKM-21), 2021.

[38] H. Zhang, J. Wang, Z. Wu, Y. Wang, D. Wang*, "Terrain-Aware Risk-Assessment-Network-Aided Deep Reinforcement Learning for Quadrupedal Locomotion in Tough Terrain," 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.

[37] Q. Yao, J. Wang, D. Wang*, S. Yang, H. Zhang, Y. Wang, Z. Wu, "Hierarchical Terrain-Aware Control for Quadrupedal Locomotion by Combining Deep Reinforcement Learning and Model Predictive Control," 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.

[36] T. Xiao, Z. Chen, D. Wang*, S. Wang, "Learning How to Propagate Messages in Graph Neural Networks," ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-21) , 2021.

[35] F. Zhao, D. Wang* and X. Xiang, "Multi-Initialization Graph Meta-Learning for Node Classification," ACM International Conference on Multimedia Retrieval (ICMR-21), 2021.

[34] Z. Zhuang, X. Xiang, S. Huang, D. Wang*, "HINFShot: A Challenge Dataset for Few-Shot Node Classification in Heterogeneous Information Network," ACM International Conference on Multimedia Retrieval (ICMR-21), 2021.

[33] Z. Chen, J. Ge, H. Zhan, S. Huang, D. Wang*, "Pareto Self-Supervised Training for Few-Shot Learning," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

[32] Z. Wu, Z. Liu, T. Wang, D. Wang*, "Improved Speaker and Navigator for Vision-and-Language Navigation," IEEE Multimedia, 2021.

[31] Z. Chen, D. Wang*, "Multi-Initialization Meta-Learning with Domain Adaptation," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-21), Toronto, Canada, Virtual Meeting, 2021.

[30] Z. Chen, Z. Xu, and D. Wang*, "Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems," Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021.

[29] S. Huang, M. Zhang, Y. Kang, and D. Wang*, "Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition," Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021.

[28] T. Xiao and D. Wang*, "A General Offline Learning Framework for Interactive Recommendation," Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021.

[27] Z. Chen, D. Wang* and S. Yin, "Improving Cold-Start Recommendation Via Multi-Prior Meta-Learning," The annual European Conference on Information Retrieval (ECIR), 2021.

[26] Q. Tian, J. Liu, G. Wang and D. Wang*, "Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning," International Joint Conference on Neural Networks (IJCNN-21), 2021.

[25] S. Gai, Z. Chen and D. Wang*, "Multi-Modal Meta Continual Learning," International Joint Conference on Neural Networks (IJCNN-21), 2021.

[24] S. Chen, Z. Chen and D. Wang*, "Adaptive Adversarial Training for Meta Reinforcement Learning," International Joint Conference on Neural Networks (IJCNN-21), 2021.

[23] T. Huang, F. Zhao and D. Wang*, "One-Shot Imitation Learning on Heterogeneous Associated Tasks via Conjugate Task Graph," International Joint Conference on Neural Networks (IJCNN-21), 2021.

[22] S. Zhang, T. Huang and D. Wang*, "Sequence Contained Heterogeneous Graph Neural Network," International Joint Conference on Neural Networks (IJCNN-21), 2021.

[21] Z. Wu, Z. Liu and D. Wang*, "Multi-Grounding Navigator for Self-Supervised Vision-and-Language Navigation," International Joint Conference on Neural Networks (IJCNN-21), 2021.

[20] H. Zhang, K, Wei, Q. Tian, D. Wang*, "Preferential Experience Collection with Frequency based Intrinsic Reward for Deep Reinforcement Learning," IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Long paper, 2020.

[19] T. Huang, Z. Zhuang, S. Zhang, D. Wang*, "Homogenization with Explicit Semantics Preservation of Heterogeneous Information Network," In Proceedings of the 29th Conference on Information and Knowledge Management (CIKM), Virtual Meeting, 2020.

[18] Q. Tian, G. Wang, J. Liu, D. Wang* and Y. Kang, "Independent Skill Transfer for Deep Reinforcement Learning," In Proceedings of the 29th International Joint Conferences on Artificial Intelligence (IJCAI), Yokohama, Japan, 2020.

[17] M. Zhang, D. Wang* and S. Gai, "Knowledge Distillation for Model-agnostic Meta-learning," In Proceedings of the 24th European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain, 2020.

[16] J. Liu, Q. Tian, D. Wang* and X. Yang, "RDRM: Residual Dual-Recurrent Model for Multivariate Long-Term Time-Series Prediction," In Proceedings of International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020.

[15] Y. Kang, S. Gai, F. Zhao, D. Wang* and A. Tang, "Deep Transfer Collaborative Filtering with Geometric Structure Preservation for Cross-Domain Recommendation," In Proceedings of International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020.

[14] F. Zhao, T. Huang and D. Wang*, "Fundamental Limits of Single Anchor based Cooperative Localization in mmWave Systems," EURASIP J. Adv. Signal Process. 2020, 24 (2020).

[13] P. Gao, Z. Liu, Z. Wu and D. Wang*, "A Global Planning Algorithm for Robots Using Reinforcement Learning," In Proceedings of 2019 IEEE International Conference on Robotics and Biomimetics (Robio), Dali, 2019.

[12] Z. Chen, S. Gai and D. Wang*, "Deep Tensor Factorization for Multi-Criteria Recommender Systems," In Proceedings of 2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, 2019.

[11] Q. Tian, J. Liu, D. Wang* and A. Tang, "Time Series Prediction with Interpretable Data Reconstruction," In Proceedings of the 28th Conference on Information and Knowledge Management (CIKM), Beijing, 2019.

[10] S. Huang, D. Wang*, X. Wu and A. Tang, "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting," In Proceedings of the 28th Conference on Information and Knowledge Management (CIKM), Beijing, 2019

[9] D. Wang*, M. Fattouche, F. M. Ghannouchi and X. Zhan, "Quasi-Optimal Subcarrier Selection Dedicated for Localization With Multicarrier-Based Signals," in IEEE Systems Journal, vol. 13, no. 2, pp. 1157-1168, June 2019.

[8] D. Wang*, M. Fattouche and X. Zhan, "Pursuance of mm-Level Accuracy: Ranging and Positioning in mmWave Systems," in IEEE Systems Journal, vol. 13, no. 2, pp. 1169-1180, June 2019.

[7] Y. Kang, F. Zhao, S. Gai, D. Wang*, Z. Chen and Y. Luo, "Cross-Domain Deep Collaborative Filtering for Recommendation," In Proceedings of 2019 IEEE International Conference on Data Mining Workshops (ICDMW), Beijing, 2019.

[6] F. Zhao, T. Huang and D. Wang*, "A Probabilistic Approach for WiFi Fingerprint Localization in Severely Dynamic Indoor Environments," IEEE Access, vol. 7, pp. 116348-116357, 2019.

[5] S. Gai, F. Zhao, Y. Kang, D. Wang*, and A. Tang, "Deep Transfer Collaborative Filtering for Recommender Systems," In Proceedings of the 16th Pacific Rim International Conferences on Artificial Intelligence (PRICAI), Yanuca Island, Cuvu, Fiji, 2019.

[4] D. Wang*, T. Wang, F. Zhao and X. Zhang, "Improved Graph-Based Semi-Supervised Learning for Fingerprint-Based Indoor Localization," In Proceedings of IEEE Global Communications Conference (Globecom), Dec. 2018.

[3] D. Wang*, F. Zhao, T. Wang and X. Zhang, "WiFi Fingerprint based Indoor Localization with Iterative Weighted KNN for WiFi AP Missing," In Proceedings of 2018 IEEE 88th Vehicular Technology Conference (IEEE VTC), Chicago, IL, USA.

[2] D. Wang*, M. Fattouche and F. M. Ghannouchi, "Bounds of mmWave-based Ranging and Positioning with Massive Uniform Rectangular Array," In Proceedings of 31st IEEE Canadian Conference on Electrical & Computer Engineering (IEEE CCECE), 2018, Quebec City, Canada.

[1] D. Wang*, M. Fattouche and F. M. Ghannouchi, "Bounds of mmWave-Based Ranging and Positioning in Multipath Channels," In Proceedings of 2017 IEEE Global Communications Conference Workshops (GCW), Singapore.

1. Paper publications completed in MiLAB are listed as follows:

2. Authorized Patents: