weitianxin
2nd-year PhD@ UIUC | Prev@USTC-SGY Trustworthy ML, Data-centric AI
University of Illinois Urbana ChampaignChampaign
Pinned Repositories
Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
awesome-distribution-shift
A curated list of papers and resources about the distribution shift in machine learning.
CLOVER
[KDD 2022] Comprehensive Fair Meta-learned Recommender System
Graph_Pool
To build a better graph classification model
GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
HyperGCL
[NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
MACR
[KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
MLP_Fusion
[ICML 2023] NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
UniMP
[ICLR 2024] Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
weitianxin.github.io
weitianxin's Repositories
weitianxin/awesome-distribution-shift
A curated list of papers and resources about the distribution shift in machine learning.
weitianxin/MACR
[KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
weitianxin/HyperGCL
[NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
weitianxin/UniMP
[ICLR 2024] Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
weitianxin/CLOVER
[KDD 2022] Comprehensive Fair Meta-learned Recommender System
weitianxin/MLP_Fusion
[ICML 2023] NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
weitianxin/Graph_Pool
To build a better graph classification model
weitianxin/GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
weitianxin/weitianxin.github.io
weitianxin/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
weitianxin/awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
weitianxin/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
weitianxin/Causal_Reading_Group
weitianxin/Few_shot_recsys
Few_shot_recsys
weitianxin/iDEA-iSAIL-Reading-Group
weitianxin/Pop_Drift
Pop_Drift
weitianxin/PR
weitianxin/practice
homework_practivce
weitianxin/pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
weitianxin/Relation_stock_rank
weitianxin/rl-nmt
weitianxin/test.github.io
weitianxin/TextCnn
A simple implement with tensorflow.
weitianxin/THU17cyz
weitianxin/TPGR
python implementation of the TPGR
weitianxin/USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
weitianxin/weitianxin
weitianxin/weitianxin_backup_page
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes