Search Results for author:
Found 35 papers, 6 papers with code
Resonant Beam Enabled DoA Estimation in Passive Positioning System
The rapid advancement of the next generation of communications and internet of things (IoT) technologies has made the provision of location-based services for diverse devices an increasingly pressing necessity.
NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models
Multimodal large language models (MLLMs) contribute a powerful mechanism to understanding visual information building on large language models.
ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks
Recent years have witnessed remarkable progress in the development of large vision-language models (LVLMs).
Graph Contrastive Learning with Multi-Objective for Personalized Product Retrieval in Taobao Search
Graph-based CF methods improve personalization by modeling collaborative signal within the user click graph.
Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System
As such, the metric of a pre-ranking model follows the ranking model using Area Under ROC (AUC) for offline evaluation.
Delving into E-Commerce Product Retrieval with Vision-Language Pre-training
E-commerce search engines comprise a retrieval phase and a ranking phase, where the first one returns a candidate product set given user queries.
Sensing with OFDM Waveform at mmWave Band based on Micro-Doppler Analysis
Joint communication and sensing (JCAS) technology has been regarded as one of the innovations in the 6G network.
MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search
Given a user query, the retrieval phase returns a subset of candidate products for the following ranking phase.
Binocular Localization Using Resonant Beam
To exhibit the localization mechanism, we first elaborate on the binocular localization model, including the resonant beam transmission analysis and the geometric derivation of the binocular method with RBS.
Multi-Objective Personalized Product Retrieval in Taobao Search
These problems promote us to further strengthen the capabilities of our EBR model in both relevance estimation and personalized retrieval.
Transmission Model for Resonant Beam SWIPT with Telescope Internal Modulator
To satisfy the long-range and energy self-sustaining communication needs of electronic devices in the Internet of Things (IoT), we introduce a simultaneous wireless information and power transfer (SWIPT) system using the resonant beam that incorporates a telescope modulator inside a cavity for suppressing diffraction losses.
Intelligent Request Strategy Design in Recommender System
RSs typically put a large number of items into one page to reduce excessive resource consumption from numerous paging requests, which, however, would diminish the RSs' ability to timely renew the recommendations according to users' real-time interest and lead to a poor user experience.
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search
In this paper, we propose a new perspective for context-aware users' behavior modeling by including the whole page-wisely exposed products and the corresponding feedback as contextualized page-wise feedback sequence.
Time-Domain Analysis for Resonant Beam Charging and Communications With Delay-Divide Demodulation
However, this system has problems such as intra-cavity echo interference and power fluctuation.
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction
Specifically, we establish a heterogeneous graph that contains physical and semantic linkages to guide the feature transfer process from warmed-up video to cold-start videos.
Optimization of A Mobile Optical SWIPT System With Asymmetric Spatially Separated Laser Resonator
It has been proposed as the carrier of wireless charging and communication.
Performance of a High Power and Capacity Mobile SLIPT Scheme
The increasing demands of power supply and data rate for mobile devices promote the research of simultaneous wireless information and power transfer (SWIPT).
A Cloud-Edge-Terminal Collaborative System for Temperature Measurement in COVID-19 Prevention
Then, a mobile detection model based on a multi-task cascaded convolutional network (MTCNN) is proposed to realize face alignment and mask detection on the RGB images.
Resonant Beam Communications with Echo Interference Elimination
Resonant beam communications (RBCom) is capable of providing wide bandwidth when using light as the carrier.
Mobile Optical Communications Using Second Harmonic of Intra-Cavity Laser
In this paper, we propose an intra-cavity SHG RBCom system to simplify the system design and improve the energy conversion efficiency.
End-to-End Transmission Analysis of Simultaneous Wireless Information and Power Transfer using Resonant Beam
Integrating the wireless power transfer (WPT) technology into the wireless communication system has been important for operational cost saving and power-hungry problem solving of electronic devices.
Charging A Smartphone Over the Air: The Resonant Beam Charging Method
In this paper, inspired by the features of optical resonators and retroreflectors, we develop an experiment on a self-aligned resonant beam charging system for long-distance mobile power transfer.
GRN: Generative Rerank Network for Context-wise Recommendation
Specifically, we first design the evaluator, which applies Bi-LSTM and self-attention mechanism to model the contextual information in the labeled final ranking list and predict the interaction probability of each item more precisely.
Mobility-Enhanced Simultaneous Lightwave Information and Power Transfer
Simultaneous lightwave information and power transfer (SLIPT) has been regarded as a promising technology to deal with the ever-growing energy consumption and data-rate demands in the Internet of Things (IoT).
Retro-Reflective Beam Communications with Spatially Separated Laser Resonator
Optical wireless communications (OWC) utilizing infrared or visible light as the carrier attracts great attention in 6G research.
Safe Coupled Deep Q-Learning for Recommendation Systems
Firstly, we introduce a novel training scheme with two value functions to maximize the accumulated long-term reward under the safety constraint.
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
Recently, many existing studies regard the cold-start personalized preference prediction as a few-shot learning problem, where each user is the task and recommended items are the classes, and the gradient-based meta learning method (MAML) is leveraged to address this challenge.
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
In this paper, we propose a new framework named Multiplex Target-Behavior Relation enhanced Network (MTBRN) to leverage multiplex relations between user behaviors and target item to enhance CTR prediction.
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Specifically, to associate the given target item with user behaviors over KG, we propose the graph connect and graph prune techniques to construct adaptive target-behavior relational graph.
EdgeRec: Recommender System on Edge in Mobile Taobao
Recommender system (RS) has become a crucial module in most web-scale applications.
Lightweight Mask R-CNN for Long-Range Wireless Power Transfer Systems
The proposed approach makes the object detection much easier to be transplanted on mobile devices and reduce the burden of hardware computation.
Resonant Beam Communications: Principles and Designs
Wireless optical communications (WOC) has carriers up to several hundred terahertz, which offers several advantages, such as ultrawide bandwidth and no electromagnetic interference.
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU
A novel query-based interactive recommender system is proposed in this paper, where \textbf{personalized questions are accurately generated from millions of automatically constructed questions} in Step 1, and \textbf{the recommendation is ensured to be closely-related to users' feedback} in Step 2.
Exact-K Recommendation via Maximal Clique Optimization
This paper targets to a novel but practical recommendation problem named exact-K recommendation.
Mobile Power Network for Ultimate Mobility without Battery Life Anxiety
We propose here the next generation of power delivery network -- mobile power network (MPN) for wireless power transfer within a mobile range from several meters to tens of meters.
