1,728 results on '"Jun, Zhou"'
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2. Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim.
3. LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment.
4. Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm.
5. CloudPlanner: Minimizing Upgrade Risk of Virtual Network Devices for Large-Scale Cloud Networks.
6. Large-Scale Multi-View Multiple Clustering.
7. Enhancing Event Sequence Modeling with Contrastive Relational Inference.
8. ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models.
9. What Factors Influence LLMs' Judgments? A Case Study on Question Answering.
10. Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information.
11. Modeling Treatment Effect with Cross-Domain Data.
12. AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.
13. Can Small Language Models be Good Reasoners for Sequential Recommendation?
14. Calibrating Graph Neural Networks from a Data-centric Perspective.
15. Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning.
16. Aligned Side Information Fusion Method for Sequential Recommendation.
17. Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.
18. Invariant Graph Learning for Causal Effect Estimation.
19. Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.
20. An FPGA-based Ultra-High Performance and Scalable Optical Flow Hardware Accelerator for Autonomous Driving.
21. An Ultra-Low Power Time-Domain based SNN Processor for ECG Classification.
22. A High-Performance ORB Accelerator with Algorithm and Hardware Co-design for Visual Localization.
23. Stellar: Energy-Efficient and Low-Latency SNN Algorithm and Hardware Co-Design with Spatiotemporal Computation.
24. PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.
25. Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.
26. Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction.
27. LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.
28. π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control.
29. MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.
30. Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations.
31. GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.
32. Structural Information Enhanced Graph Representation for Link Prediction.
33. Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.
34. Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
35. Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.
36. GATS: Generative Audience Targeting System for Online Advertising.
37. 14.8 KASP: A 96.8% 10-Keyword Accuracy and 1.68μJ/Classification Keyword Spotting and Speaker Verification Processor Using Adaptive Beamforming and Progressive Wake-Up.
38. 33.1 A High-Accuracy and Energy-Efficient Zero-Shot-Retraining Seizure-Detection Processor with Hybrid-Feature-Driven Adaptive Processing and Learning-Based Adaptive Channel Selection.
39. TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.
40. EasyTPP: Towards Open Benchmarking Temporal Point Processes.
41. jun zhou zhi 均州志
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49. Simulation and Analysis on Application of CCSDS Unified Space Data Link Protocol.
50. Iterative Refinement Network for Hyperspectral Image Denoising.
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