90 citations · 120 across the 10 of their papers we have counts for
10 papers
CoRe: A Continuously Reward-Finetuned LLM Query Rewriter for Multi-Stage Context-Aware Relevance in Web-Scale Video Search
Yilin Wen, Rong Yang, Xiaojia Chang +11
LLM-based query rewriters in production face a tension: the training reward must reflect how the rewrite is consumed by the production ranker, yet the training procedure must be ch…
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search
Zhigong Zhou, Ning Ding, Xiaochuan Fan +8
Semantic retrieval, which retrieves semantically matched items given a textual query, has been an essential component to enhance system effectiveness in e-commerce search. In this…
Automatic Generation of Product-Image Sequence in E-commerce
Xiaochuan Fan, Chi Zhang, Yong Yang +6
Product images are essential for providing desirable user experience in an e-commerce platform. For a platform with billions of products, it is extremely time-costly and labor-expe…
Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce
Xueying Zhang, Kai Shen, Chi Zhang +5
In this paper, we proposed an automatic Scenario-based Multi-product Advertising Copywriting Generation system (SMPACG) for E-Commerce, which has been deployed on a leading Chinese…
DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization
Xueying Zhang, Yunjiang Jiang, Yue Shang +5
We propose a novel domain-specific generative pre-training (DS-GPT) method for text generation and apply it to the product titleand review summarization problems on E-commerce mobi…
A Top-down Approach to Articulated Human Pose Estimation and Tracking
Guanghan Ning, Ping Liu, Xiaochuan Fan +1
Both the tasks of multi-person human pose estimation and pose tracking in videos are quite challenging. Existing methods can be categorized into two groups: top-down and bottom-up…
Object Detection with Mask-based Feature Encoding
Xiaochuan Fan, Hao Guo, Kang Zheng +2
Region-based Convolutional Neural Networks (R-CNNs) have achieved great success in the field of object detection. The existing R-CNNs usually divide a Region-of-Interest (ROI) into…
Detecting Small Signs from Large Images
Zibo Meng, Xiaochuan Fan, Xin Chen +2
In the past decade, Convolutional Neural Networks (CNNs) have been demonstrated successful for object detections. However, the size of network input is limited by the amount of mem…
Co-interest Person Detection from Multiple Wearable Camera Videos
Yuewei Lin, Kareem Ezzeldeen, Youjie Zhou +4
Wearable cameras, such as Google Glass and Go Pro, enable video data collection over larger areas and from different views. In this paper, we tackle a new problem of locating the c…
Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation
Xiaochuan Fan, Kang Zheng, Yuewei Lin +1
We propose a new learning-based method for estimating 2D human pose from a single image, using Dual-Source Deep Convolutional Neural Networks (DS-CNN). Recently, many methods have…