40 results on '"Chengtao Li"'
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2. Influencing Factors Analysis and Prediction Model of Pavement Transverse Crack Based on Big Data.
3. Optimization-driven Deep Reinforcement Learning for Sniffer Patrolling in Wireless Networks.
4. Accelerated rational PROTAC design via deep learning and molecular simulations.
5. Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction.
6. A Method for Image Big Data Utilization: Automated Progress Monitoring Based on Image Data for Large Construction Site.
7. Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search.
8. TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction.
9. Retrosynthesis Prediction with Conditional Graph Logic Network.
10. Deep Reinforcement Learning for Joint Trajectory Planning, Transmission Scheduling, and Access Control in UAV-Assisted Wireless Sensor Networks.
11. Molecule Optimization by Explainable Evolution.
12. Group Contextual Encoding for 3D Point Clouds.
13. Improving Sequential Determinantal Point Processes for Supervised Video Summarization.
14. Representation Learning on Graphs with Jumping Knowledge Networks.
15. Molecular Attributes Transfer from Non-Parallel Data.
16. BioNavi-NP: Biosynthesis Navigator for Natural Products.
17. Polynomial time algorithms for dual volume sampling.
18. Batched High-dimensional Bayesian Optimization via Structural Kernel Learning.
19. Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search.
20. Retrosynthesis Prediction with Conditional Graph Logic Network.
21. Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling.
22. Efficient Sampling for k-Determinantal Point Processes.
23. Fast DPP Sampling for Nystrom with Application to Kernel Methods.
24. Gaussian quadrature for matrix inverse forms with applications.
25. Distributional Adversarial Networks.
26. Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing.
27. Neural Program Lattices.
28. A topical diversity-based approach to detecting similar question groups from collaborative question-answering archives.
29. Bayesian Max-margin Multi-Task Learning with Data Augmentation.
30. Representation Learning on Graphs with Jumping Knowledge Networks.
31. Robust GANs against Dishonest Adversaries.
32. Improving Sequential Determinantal Point Processes for Supervised Video Summarization.
33. Structured Output Learning with Candidate Labels for Local Parts.
34. Sentiment Topic Model with Decomposed Prior.
35. Distributional Adversarial Networks.
36. Batched High-dimensional Bayesian Optimization via Structural Kernel Learning.
37. Fast DPP Sampling for Nyström with Application to Kernel Methods.
38. Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes.
39. Bounds on bilinear inverse forms via Gaussian quadrature with applications.
40. Efficient Sampling for k-Determinantal Point Processes.
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