Search Results for author: Jinsong Lan

Found 7 papers, 1 papers with code

Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao

no code implementations20 Nov 2024 Xu Chen, Zida Cheng, Yuangang Pan, Shuai Xiao, Xiaoming Liu, Jinsong Lan, Qingwen Liu, Ivor W. Tsang

In this work, we introduce a novel Multi-Branch Cooperation Network (MBCnet) which enables multiple branch networks to collaborate with each other for better complex feature interaction modeling.

Click-Through Rate Prediction Memorization

Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation

no code implementations14 Nov 2024 Jiajun Cui, Xu Chen, Shuai Xiao, Chen Ju, Jinsong Lan, Qingwen Liu, Wei zhang

To address this, we propose a Counterfactual learning-driven representation disentanglement framework for search-enhanced recommendation, based on the common belief that a user would click an item under a query not solely because of the item-query match but also due to the item's query-independent general features (e. g., color or style) that interest the user.

Collaborative Filtering counterfactual +3

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models

1 code implementation16 Jul 2024 Chen Ju, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng

Vision-Language Large Models (VLMs) recently become primary backbone of AI, due to the impressive performance.

Quantization

Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos

no code implementations26 Apr 2024 Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao, Changxin Gao

To generate coherent motions, we first leverage the Kalman filter to construct smooth crops in the focus tunnel and inject the position embedding of the tunnel into attention layers to improve the continuity of the generated videos.

Virtual Try-on

Cell Variational Information Bottleneck Network

no code implementations22 Mar 2024 Zhonghua Zhai, Chen Ju, Jinsong Lan, Shuai Xiao

In this work, we propose Cell Variational Information Bottleneck Network (cellVIB), a convolutional neural network using information bottleneck mechanism, which can be combined with the latest feedforward network architecture in an end-to-end training method.

Face Recognition Representation Learning

Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation

no code implementations30 Nov 2023 Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao

Later the augmentation network employs the explicit cross-domain knowledge as augmented information to boost the target domain CTR prediction.

Click-Through Rate Prediction Transfer Learning

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