290 results on '"Wenbin Li"'
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2. Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem.
3. Dynamic Replay Training for Class-Incremental Learning.
4. CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection.
5. CausalMMM: Learning Causal Structure for Marketing Mix Modeling.
6. AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis.
7. Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning.
8. CRefNet: Learning Consistent Reflectance Estimation With a Decoder-Sharing Transformer.
9. WToE: Learning When to Explore in Multiagent Reinforcement Learning.
10. Autonomous aerial robotics for package delivery: A technical review.
11. InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules.
12. PORCA: Root Cause Analysis with Partially Observed Data.
13. 3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities.
14. DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications.
15. Zero-Shot Video Editing through Adaptive Sliding Score Distillation.
16. Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation.
17. AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis.
18. Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay.
19. ONNXPruner: ONNX-Based General Model Pruning Adapter.
20. Learning on the correct class for domain inverse problems of gravimetry.
21. Identifying Optimal Launch Sites of High-Altitude Latex-Balloons using Bayesian Optimisation for the Task of Station-Keeping.
22. CausalMMM: Learning Causal Structure for Marketing Mix Modeling.
23. AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models.
24. STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis.
25. IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation.
26. MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters.
27. Unsupervised Scouting and Layout for Storyboarding in Movie Pre-production.
28. Resource-Constrained Station-Keeping for Latex Balloons Using Reinforcement Learning.
29. Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery.
30. Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset.
31. Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs.
32. Convergence Analysis of Graphical Game-Based Nash Q-Learning using the Interaction Detection Signal of N-Step Return.
33. Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet.
34. Static and Steady-state Dynamic Response of Iron Towers Based on Finite Element.
35. Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks.
36. Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation.
37. Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient.
38. IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models.
39. TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations.
40. Patient Assessment and Therapy Planning Based on Homologous Recombination Repair Deficiency.
41. Effective Interpretable Policy Distillation via Critical Experience Point Identification.
42. D2OP: A Fair Dual-Objective Weighted Scheduling Scheme in Internet of Everything.
43. A Construction Method of Dynamic Protein Interaction Networks by Using Relevant Features of Gene Expression Data.
44. MetaLayer: A Meta-Learned BSDF Model for Layered Materials.
45. Multi-type task offloading for wireless Internet of Things by federated deep reinforcement learning.
46. Defensive Few-Shot Learning.
47. LibFewShot: A Comprehensive Library for Few-Shot Learning.
48. Online Passive-Aggressive Active Learning for Trapezoidal Data Streams.
49. A Multilayer Framework for Online Metric Learning.
50. Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning.
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