Cheng Wang
7 papers in the PaperMetrix corpus
Papers by this author
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Improving the Gain of Visual Perceptual Behaviour on Topic Modeling for Text Recommendation
2017
Internet information services have been greatly improved profiting from the growing performance of interest mining technology. Visual perceptual behaviours, a new hotspot of mining user's interests, have resulted in great gains in some typical Internet …
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Private information retrieval in vehicular location-based services
2018
Acting as a new type of mobile terminals, vehicles are able to access Internet in real-time. Consequently, a specific kind of Location-Based Services (LBS), usually named Vehicular LBS (VLBS), has received significant attention because of …
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A Questionnaire for Subjective Evaluation ofthe Intelligent Speech System
2018
This research aims to construct a questionnaire to subjectively evaluate the intelligent speech assistant (ISA). In a pilot interview, keywords extracted from users' descriptions and expectations of an ISA. Based on these keywords, 43 items …
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FedGS: Federated Graph-based Sampling with Arbitrary Client Availability
2022 · arXiv (Cornell University)
While federated learning has shown strong results in optimizing a machine learning model without direct access to the original data, its performance may be hindered by intermittent client availability which slows down the convergence and …
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Characterizing Job Microarchitectural Profiles at Scale: Dataset and Analysis
2022
Understanding the microarchitectural resource characteristics of datacenter jobs has become increasingly critical to guarantee the performance of jobs while improving resource utilization. Prior work studied the resource characteristics of datacenter jobs at the OS level, …
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RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
2023 · arXiv (Cornell University)
Multi-agent systems are characterized by environmental uncertainty, varying policies of agents, and partial observability, which result in significant risks. In the context of Multi-Agent Reinforcement Learning (MARL), learning coordinated and decentralized policies that are sensitive …
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RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems
2019 · IEEE Transactions on Neural Networks and Learning Systems
Data sparsity and data imbalance are practical and challenging issues in cross-domain recommender systems (RSs). This paper addresses those problems by leveraging the concepts which derive from representation learning, adversarial learning, and transfer learning (particularly, …