Search Results - "Qi, Heng"
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A Spatial-Temporal Attention Approach for Traffic Prediction
Published in IEEE transactions on intelligent transportation systems (01-08-2021)“…Accurate traffic forecasting is important to enable intelligent transportation systems in a smart city. This problem is challenging due to the complicated…”
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Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions
Published in IEEE transactions on intelligent transportation systems (01-06-2022)“…Traffic prediction plays an essential role in intelligent transportation system. Accurate traffic prediction can assist route planing, guide vehicle…”
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TCSA-Net: A Temporal-Context-Based Self-Attention Network for Next Location Prediction
Published in IEEE transactions on intelligent transportation systems (01-11-2022)“…Next location prediction aims to find the location that the user will visit next. It plays a fundamental role for location-based applications. However, the…”
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4
TSF: Two-stage Sequential Fusion for 3D Object Detection
Published in IEEE sensors journal (15-06-2022)“…There have been significant advances in 3D object detection using LiDAR and camera fusion for autonomous driving. However, it is surprisingly difficult to…”
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D-S Augmentation: Density-Semantics Augmentation for 3-D Object Detection
Published in IEEE sensors journal (01-02-2023)“…Cameras and light detection and ranging (LiDAR) sensors are commonly used together in autonomous vehicles to provide rich color and texture information and…”
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Mitigating Poor Data Quality Impact with Federated Unlearning for Human-Centric Metaverse
Published in IEEE journal on selected areas in communications (01-04-2024)“…Federated Learning (FL), which has been employed to train machine learning models on the data with a distributed manner, could enhance the immersive user…”
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Breaking the Expression Bottleneck of Graph Neural Networks
Published in IEEE transactions on knowledge and data engineering (01-06-2023)“…Recently, the Weisfeiler-Lehman (WL) graph isomorphism test was used to measure the expressiveness of graph neural networks (GNNs), showing that the…”
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DPCell: Constructing Novel Architectures of Data Center Networks on Dual-Port Servers
Published in IEEE network (01-07-2021)“…To store and process big data, large-scale data centers are built to interconnect a huge number of servers, which is a challenging task due to the network…”
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Graph Optimized Data Offloading for Crowd-AI Hybrid Urban Tracking in Intelligent Transportation Systems
Published in IEEE transactions on intelligent transportation systems (01-01-2023)“…Urban tracking plays a vital role for people's urban life in intelligent transportation systems, e.g., public safety, case investigation, finding missing…”
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Experimental study of methane hydrate formation and decomposition in the porous medium with different thermal conductivities and grain sizes
Published in Applied energy (01-01-2022)“…•The formed hydrate acted as cementation between the porous media.•The heat transfer rate rapidly reduced when most of cementation was disappeared.•The hydrate…”
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WECAN: an Efficient West-East Control Associated Network for Large-Scale SDN Systems
Published in Mobile networks and applications (01-02-2020)“…Software-Defined Networking (SDN) has been proposed as a promising way for its centralized network control and management. However, the latest SDN research…”
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Reducing Nonradiative Losses of Air‐Processed Perovskite Films via Interface Modification for Bright and Efficient Light Emitting Diodes
Published in Advanced functional materials (01-02-2024)“…Developing ambient‐air fabrication strategy is desirable for lowering down the fabrication cost of perovskite light emitting diodes (LEDs) and further…”
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13
Scalable Distributed Hashing for Approximate Nearest Neighbor Search
Published in IEEE transactions on image processing (2022)“…Hashing has been widely applied to the large-scale approximate nearest neighbor search problem owing to its high efficiency and low storage requirement. Most…”
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14
Hash Learning With Variable Quantization for Large-Scale Retrieval
Published in IEEE transactions on circuits and systems for video technology (01-05-2022)“…Approximate Nearest Neighbor(ANN) search is the core problem in many large-scale machine learning and computer vision applications such as multimodal…”
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15
A powerful software‐defined cyber‐physical system to expand CPS adoption
Published in Software, practice & experience (01-04-2022)“…Summary The cyber‐physical system (CPS) has become a promising direction that can enrich the interaction between people and people, people and objects, objects…”
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Hone: Mitigating Stragglers in Distributed Stream Processing With Tuple Scheduling
Published in IEEE transactions on parallel and distributed systems (01-08-2021)“…Low latency stream processing on large clusters consisting of hundreds to thousands of servers is an increasingly important challenge. A crucial barrier to…”
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17
Stroke Dysbiosis Index (SDI) in Gut Microbiome Are Associated With Brain Injury and Prognosis of Stroke
Published in Frontiers in neurology (24-04-2019)“…Significant dysbiosis occurs in the gut microbiome of stroke patients. Condensing these broad, complex changes into one index would greatly facilitate the…”
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The optimization mechanism for gas hydrate dissociation by depressurization in the sediment with different water saturations and different particle sizes
Published in Energy (Oxford) (15-01-2021)“…Gas hydrate is considered as a new promising energy resource, and it is extensively distributed in offshore sediments and permafrost region. Two important…”
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A High Time-Efficient Missing Tag Detection Scheme for Integrated RFID Systems
Published in Sensors (Basel, Switzerland) (18-06-2022)“…Missing tag incidents are common in RFID-enabled supply-chain and warehousing scenarios due to cargo theft and employee error operations, which may lead to…”
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Blockchain-enhanced Federated Learning Market with Social Internet of Things
Published in IEEE journal on selected areas in communications (01-12-2022)“…The machine learning performance usually could be improved by training with massive data. However, requesters can only select a subset of devices with limited…”
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