Jerry-jwz
I'm now a first-year PhD student in AI Thrust, Info Hub, HKUST(GZ). I‘m previously an undergraduate in School of the Gifted Young, USTC.
HKUST(GZ)Guangzhou, China
Pinned Repositories
AGCRN
Adaptive Graph Convolutional Recurrent Network
ASTGNN
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
attention-learn-to-route
Attention based model for learning to solve different routing problems
Audio-Enhancement-via-ONMF
audio-SNR
Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
CAL
[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by YongduoSui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua
CAL-ACL2024
Calculate-SNR-SDR
Script to calculate SNR and SDR using python
Caseq
The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIPS22.
Causal-Inference-via-Style-Transfer-for-OOD-Generalisation
Here is the codebase for our accepted paper in the Research Track of KDD'23 on 'Causal-Inference-via-Style-Transfer-for-OOD-Generalisation'.
Jerry-jwz's Repositories
Jerry-jwz/CAL
[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by YongduoSui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua
Jerry-jwz/CAL-ACL2024
Jerry-jwz/Caseq
The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIPS22.
Jerry-jwz/Causal-Inference-via-Style-Transfer-for-OOD-Generalisation
Here is the codebase for our accepted paper in the Research Track of KDD'23 on 'Causal-Inference-via-Style-Transfer-for-OOD-Generalisation'.
Jerry-jwz/Causality-Inspired-GNNs
Jerry-jwz/CausalTransformer
Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
Jerry-jwz/cfrnet
Counterfactual Regression
Jerry-jwz/CCHMM
This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"
Jerry-jwz/cfrnet-reproduction
Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causal inference.
Jerry-jwz/ChatPaper
Use ChatGPT to summarize the arXiv papers.
Jerry-jwz/DIDA
Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
Jerry-jwz/DIR-GNN
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (2022 ICLR)
Jerry-jwz/DisC
NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Jerry-jwz/HaluEval
This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
Jerry-jwz/HGB
Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
Jerry-jwz/HyperSCI
Jerry-jwz/KDD23-CauSTG
The appendix and core code of model CauSTG, for accepted paper in KDD 2023.
Jerry-jwz/llm-attacks
Universal and Transferable Attacks on Aligned Language Models
Jerry-jwz/llm-past-tense
Does Refusal Training in LLMs Generalize to the Past Tense? [arXiv, July 2024]
Jerry-jwz/MAPLE
Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Jerry-jwz/MM-DAG
Jerry-jwz/overleaf
A web-based collaborative LaTeX editor
Jerry-jwz/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Jerry-jwz/R-Tuning
[NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't Know'"
Jerry-jwz/Say-I-Dont-Know
[ICML'2024] Can AI Assistants Know What They Don't Know?
Jerry-jwz/STEVE
Jerry-jwz/STNSCM
This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
Jerry-jwz/TruthfulQA
TruthfulQA: Measuring How Models Imitate Human Falsehoods
Jerry-jwz/weakly-supervised-causal-representation-learning
Jerry-jwz/ZIN_official
This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?