| TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents J Ruan, Y Chen, B Zhang, Z Xu, T Bao, G Du, S Shi, H Mao, Z Li, X Zeng, ... NeurIPS 2023: 37th Conference on Neural Information Processing Systems …, 2023 | 55 | 2023 |
| Tensor completion for weakly-dependent data on graph for metro passenger flow prediction Z Li, ND Sergin, H Yan, C Zhang, F Tsung AAAI-20 34 (Vol 34 No 04: AAAI-20 Technical Tracks 4), 4804--4810, 2020 | 53 | 2020 |
| Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile Z Li, H Yan, C Zhang, F Tsung IEEE Robotics and Automation Letters 5 (4), 5010-5017, 2020 | 29 | 2020 |
| Jointly contrastive representation learning on road network and trajectory Z Mao, Z Li, D Li, L Bai, R Zhao CIKM 2022: Proceedings of the 31st ACM International Conference on …, 2022 | 23 | 2022 |
| An improved traffic lights recognition algorithm for autonomous driving in complex scenarios Z Li, Q Zeng, Y Liu, J Liu, L Li International Journal of Distributed Sensor Networks 17 (5), 15501477211018374, 2021 | 19 | 2021 |
| Individualized Passenger Travel Pattern Multi-clustering based on Graph Regularized Tensor Latent Dirichlet Allocation Z Li, H Yan, C Zhang, F Tsung Data Mining and Knowledge Discovery 36 (4), 1247-1278, 2022 | 16 | 2022 |
| Abnormal behavior recognition based on key points of human skeleton Y Liu, S Zhang, Z Li, Y Zhang IFAC-PapersOnLine 53 (5), 441-445, 2020 | 15 | 2020 |
| Dynamic Causal Graph Convolutional Network for Traffic Prediction J Lin, Z Li, Z Li, L Bai, Z Rui, C Zhang 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 14 | 2023 |
| Profile Decomposition based Hybrid Transfer Learning for Cold-start Data Anomaly Detection Z Li, H Yan, F Tsung, K Zhang ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-28, 2022 | 13 | 2022 |
| Tensor Topic Models with Graphs and Applications on Individualized Travel Patterns LI Ziyue ICDE 2021: 2021 IEEE 37th International Conference on Data Engineering (ICDE …, 2021 | 13 | 2021 |
| TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems Y Kong, J Ruan, Y Chen, B Zhang, T Bao, S Shi, G Du, X Hu, H Mao, Z Li, ... ICLR 2024: The Twelfth International Conference on Learning Representations …, 2024 | 10 | 2024 |
| Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach B Zhang, H Mao, J Ruan, Y Wen, Y Li, S Zhang, Z Xu, D Li, Z Li, R Zhao, ... ICLR 2024: The Twelfth International Conference on Learning Representations …, 2024 | 8 | 2024 |
| Transformer in Transformer as Backbone for Deep Reinforcement Learning H Mao, R Zhao, Z Li, H Chen, J Hao, Y Chen, D Li, J Zhang, Z Xiao arXiv preprint arXiv:2212.14538, 2022 | 7 | 2022 |
| Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping L Wang, L Bai, Z Li, R Zhao, F Tsung 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 6 | 2023 |
| Spatial-Temporal Large Language Model for Traffic Prediction C Liu, S Yang, Q Xu, Z Li, C Long, Z Li, R Zhao IEEE MDM 2024: The 25th IEEE International Conference on Mobile Data Management, 2024 | 5 | 2024 |
| Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting Y Chen, Z Li, W Ouyang, M Lepech 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 5 | 2023 |
| MM-DAG: Multi-task DAG Learning for Multi-modal Data--with Application for Traffic Congestion Analysis T Lan, Z Li, Z Li, L Bai, M Li, F Tsung, W Ketter, R Zhao, C Zhang SIGKDD 2023: Proceedings of the 29th ACM SIGKDD Conference on Knowledge …, 2023 | 5 | 2023 |
| The paradox of the artificial intelligence system development process: the use case of corporate wellness programs using smart wearables A Angelucci, Z Li, N Stoimenova, S Canali AI & Society, 2022 | 5 | 2022 |
| A Unified Probabilistic Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network M Jiang, A Wang, Z Li, F Tsung 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 4 | 2023 |
| GESA: A GEneral Scenario-Agnostic Reinforcement Learning for Traffic Signal Control H Jiang, Z Li, Z Li, L Bai, H Mao, W Ketter, R Zhao IEEE Transactions on Intelligent Transportation Systems, 2024 | 2 | 2024 |
Rui ZhaoSenseTime Group LimitedVerified email at sensetime.com
