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qianrenjian's Projects

session-rec icon session-rec

Python-based framework for building and evaluating session-based recommender systems.

sessionrec-pytorch icon sessionrec-pytorch

Source code for WSDM 2022 paper Learning Multi-grannularity User Intent Unit for Session-based Recommendation.

sg-net icon sg-net

SG-Net: Syntax-guided machine reading comprehension (AAAI 2020)

sgcn icon sgcn

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

sgpn icon sgpn

SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018

shufflenet icon shufflenet

This is a fast caffe implementation of ShuffleNet.

siamdw icon siamdw

Deeper and Wider Siamese Networks for Real-Time Visual Tracking

siamese-triplet icon siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

siamesex.pytorch icon siamesex.pytorch

A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamRPN, SiamRPN++, SiamVGG, SiamDW, SiamRPN-VGG.

sian icon sian

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

sidenet icon sidenet

SideNet: Neural Extractive Summarization with Side Information

sif icon sif

sentence embedding by Smooth Inverse Frequency weighting scheme

sigir16-eals icon sigir16-eals

Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "

sigir19-bert-ir icon sigir19-bert-ir

Repo of code and data for SIGIR-19 short paper "Deeper Text Understanding for IR with Contextual NeuralLanguage Modeling"

sigir2020_peterrec icon sigir2020_peterrec

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

sigir2021_conure icon sigir2021_conure

One Person, One Model, One World: Learning Continual User Representation without Forgetting

simbert icon simbert

a bert for retrieval and generation

simclr icon simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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