Libo Huang
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View article: Development of Low-Cost Single-Chip Automotive 4D Millimeter-Wave Radar
Development of Low-Cost Single-Chip Automotive 4D Millimeter-Wave Radar Open
Traditional 3D millimeter-wave radars lack target height information, leading to identification failures in complex scenarios. Upgrading to 4D millimeter-wave radars enables four-dimensional information perception, enhancing obstacle detec…
View article: Confounded Causal Imitation Learning with Instrumental Variables
Confounded Causal Imitation Learning with Instrumental Variables Open
Imitation learning from demonstrations usually suffers from the confounding effects of unmeasured variables (i.e., unmeasured confounders) on the states and actions. If ignoring them, a biased estimation of the policy would be entailed. To…
View article: Development of Low-Cost Single-Chip Automotive 4D Millimeter-Wave Radar
Development of Low-Cost Single-Chip Automotive 4D Millimeter-Wave Radar Open
Traditional 3D millimeter-wave radars lack target height information, leading to identification failures in complex scenarios. Upgrading to 4D millimeter-wave radars enables four-dimensional information perception, enhancing obstacle detec…
View article: HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation Open
In safety-critical domains such as medical diagnostics and autonomous driving, single-image evidence is sometimes insufficient to reflect the inherent ambiguity of vision problems. Therefore, multiple plausible assumptions that match the i…
View article: The Effect of Environmental Uncertainty and Executive Characteristics on Tax Avoidance
The Effect of Environmental Uncertainty and Executive Characteristics on Tax Avoidance Open
The objectives of this study include: (1) To empirically test the effect of environmental uncertainty on tax avoidance; (2) To empirically test the effect of executive characteristics on tax avoidance; (3) To empirically test the role of c…
View article: Real-time Stereo-based 3D Object Detection for Streaming Perception
Real-time Stereo-based 3D Object Detection for Streaming Perception Open
The ability to promptly respond to environmental changes is crucial for the perception system of autonomous driving. Recently, a new task called streaming perception was proposed. It jointly evaluate the latency and accuracy into a single …
View article: IOR: Inversed Objects Replay for Incremental Object Detection
IOR: Inversed Objects Replay for Incremental Object Detection Open
Existing Incremental Object Detection (IOD) methods partially alleviate catastrophic forgetting when incrementally detecting new objects in real-world scenarios. However, many of these methods rely on the assumption that unlabeled old-clas…
View article: EPHA: An Energy-efficient Parallel Hybrid Architecture for ANNs and SNNs
EPHA: An Energy-efficient Parallel Hybrid Architecture for ANNs and SNNs Open
Artificial neural networks (ANNs) and spiking neural networks (SNNs) are two general approaches to achieve artificial intelligence (AI). The former have been widely used in academia and industry fields; the latter, SNNs, are more similar t…
View article: SAC: An Ultra-Efficient Spin-based Architecture for Compressed DNNs
SAC: An Ultra-Efficient Spin-based Architecture for Compressed DNNs Open
Deep Neural Networks (DNNs) have achieved great progress in academia and industry. But they have become computational and memory intensive with the increase of network depth. Previous designs seek breakthroughs in software and hardware lev…
View article: Late-Stage Optimization of Modern ILP Processor Cores via FPGA Simulation
Late-Stage Optimization of Modern ILP Processor Cores via FPGA Simulation Open
Late-stage (post-RTL implementation) optimization is important in achieving target performance for realistic processor design. However, several challenges remain for modern out-of-order ILP (instruction-level-parallelism) processors, such …
View article: RT Engine: An Efficient Hardware Architecture for Ray Tracing
RT Engine: An Efficient Hardware Architecture for Ray Tracing Open
The reality of the ray tracing technology that leads to its rendering effect is becoming increasingly apparent in computer vision and industrial applications. However, designing efficient ray tracing hardware is challenging due to memory a…
View article: Rapid and Accurate PPA Prediction for the Template-Based Processor Design Methods
Rapid and Accurate PPA Prediction for the Template-Based Processor Design Methods Open
The template-based chip design method aims to build rapidly. However, it still need synthesis and simulation flows to get the performance, power, and area (PPA) reports and find the proper parameters set in the design space exploration, wh…
View article: Low Level of Dietary Organic Trace Elements Improve the Eggshell Strength, Trace Element Utilization, and Intestinal Function in Late-Phase Laying Hens
Low Level of Dietary Organic Trace Elements Improve the Eggshell Strength, Trace Element Utilization, and Intestinal Function in Late-Phase Laying Hens Open
This study was conducted to evaluate the effects of organic trace elements (Cu, Fe, Zn, and Mn) on performance, egg quality, trace elements utilization, and intestinal function in late-phase laying hens. A total of 1,080 laying hens (Hy-li…
View article: Traffic participants classification based on 3D radio detection and ranging point clouds
Traffic participants classification based on 3D radio detection and ranging point clouds Open
Traffic participant classification is critical in autonomous driving perception. Millimetre wave radio detection and ranging (RADAR) is a cost‐effective and robust means of performing this task in adverse traffic scenarios such as inclemen…
View article: Dynamic Hand Gesture Recognition in In-Vehicle Environment Based on FMCW Radar and Transformer
Dynamic Hand Gesture Recognition in In-Vehicle Environment Based on FMCW Radar and Transformer Open
Hand gesture recognition technology plays an important role in human-computer interaction and in-vehicle entertainment. Under in-vehicle conditions, it is a great challenge to design gesture recognition systems due to variable driving cond…
View article: Radar Transformer: An Object Classification Network Based on 4D MMW Imaging Radar
Radar Transformer: An Object Classification Network Based on 4D MMW Imaging Radar Open
Automotive millimeter-wave (MMW) radar is essential in autonomous vehicles due to its robustness in all weather conditions. Traditional commercial automotive radars are limited by their resolution, which makes the object classification tas…
View article: GraphPEG
GraphPEG Open
Due to massive thread-level parallelism, GPUs have become an attractive platform for accelerating large-scale data parallel computations, such as graph processing. However, achieving high performance for graph processing with GPUs is non-t…
View article: A Joint 2D-3D Complementary Network for Stereo Matching
A Joint 2D-3D Complementary Network for Stereo Matching Open
Stereo matching is an important research field of computer vision. Due to the dimension of cost aggregation, current neural network-based stereo methods are difficult to trade-off speed and accuracy. To this end, we integrate fast 2D stere…
View article: Robust Target Detection and Tracking Algorithm Based on Roadside Radar and Camera
Robust Target Detection and Tracking Algorithm Based on Roadside Radar and Camera Open
Intelligent transportation systems (ITSs) play an increasingly important role in traffic management and traffic safety. Smart cameras are the most widely used sensors in ITSs. However, cameras suffer from a reduction in detection and posit…
View article: Multi-Scale Cost Volumes Cascade Network for Stereo Matching
Multi-Scale Cost Volumes Cascade Network for Stereo Matching Open
Stereo matching is essential for robot navigation. However, the accuracy of current widely used traditional methods is low, while methods based on CNN need expensive computational cost and running time. This is because different cost volum…
View article: Brief introduction of TianHe exascale prototype system
Brief introduction of TianHe exascale prototype system Open
Facing the challenges of the next generation exascale computing, National University of Defense Technology has developed a prototype system to explore opportunities, solutions, and limits toward the next generation Tianhe system. This pape…
View article: MT-DMA: A DMA Controller Supporting Efficient Matrix Transposition for Digital Signal Processing
MT-DMA: A DMA Controller Supporting Efficient Matrix Transposition for Digital Signal Processing Open
Matrix transposition plays a critical role in digital signal processing. However, the existing matrix transposition implementations have significant limitations. A traditional design uses load and store instructions to accomplish matrix tr…
View article: CGAcc: A Compressed Sparse Row Representation-Based BFS Graph Traversal Accelerator on Hybrid Memory Cube
CGAcc: A Compressed Sparse Row Representation-Based BFS Graph Traversal Accelerator on Hybrid Memory Cube Open
Graph traversal is widely used in map routing, social network analysis, causal discovery and many more applications. Because it is a memory-bound process, graph traversal puts significant pressure on the memory subsystem. Due to poor spati…
View article: DyCache: Dynamic Multi-Grain Cache Management for Irregular Memory Accesses on GPU
DyCache: Dynamic Multi-Grain Cache Management for Irregular Memory Accesses on GPU Open
GPU utilizes the wide cache-line (128B) on-chip cache to provide high bandwidth and efficient memory accesses for applications with regularly-organized data structures. However, emerging applications exhibit a lot of irregular control flow…
View article: Accelerating BFS via Data Structure-Aware Prefetching on GPU
Accelerating BFS via Data Structure-Aware Prefetching on GPU Open
Breadth First Search (BFS) is a key graph traversing algorithm for many graph analytics applications. In recent decades, as the scale of the graph analytics problem has become larger and larger, it has raised many interests to accelerate g…