Shuiwang Ji

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 222

Top Venues

CoRR

KDD

IEEE Trans. Pattern Anal. Mach. Intell.

NeurIPS

Publications

Keqiang Yan, Alexandra Saxton, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction. CoRR (2024)
Yaochen Xie, Ziqian Xie, Sheikh Muhammad Saiful Islam, Degui Zhi, Shuiwang Ji
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies. Trans. Mach. Learn. Res. 2024 (2024)
Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations. ICLR (2024)
Montgomery Bohde, Meng Liu, Alexandra Saxton, Shuiwang Ji
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods. CoRR (2024)
Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems. SDM (2024)
Meng Liu, Haiyang Yu, Shuiwang Ji
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm. Trans. Mach. Learn. Res. 2024 (2024)
Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
3D Molecular Geometry Analysis with 2D Graphs. SDM (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Montgomery Bohde, Meng Liu, Alexandra Saxton, Shuiwang Ji
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods. ICLR (2024)
Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
Complete and Efficient Graph Transformers for Crystal Material Property Prediction. ICLR (2024)
Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji
FlowX: Towards Explainable Graph Neural Networks via Message Flows. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Yuchao Lin, Jacob Helwig, Shurui Gui, Shuiwang Ji
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency. CoRR (2024)
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. CoRR (2024)
Shurui Gui, Xiner Li, Shuiwang Ji
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm. ICLR (2024)
Shurui Gui, Xiner Li, Shuiwang Ji
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm. CoRR (2024)
Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations. CoRR (2024)
Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
Complete and Efficient Graph Transformers for Crystal Material Property Prediction. CoRR (2024)
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
Eliminating Position Bias of Language Models: A Mechanistic Approach. CoRR (2024)
Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong
Video Timeline Modeling For News Story Understanding. NeurIPS (2023)
Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Youzhi Luo, Chengkai Liu, Shuiwang Ji
Towards Symmetry-Aware Generation of Periodic Materials. NeurIPS (2023)
Jie Wang, Zhihao Shi, Xize Liang, Shuiwang Ji, Bin Li, Feng Wu
Provably Convergent Subgraph-wise Sampling for Fast GNN Training. CoRR (2023)
Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization. CoRR (2023)
Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. ICML (2023)
Lei Cai, Zhengyang Wang, Rob Kulathinal, Sudhir Kumar, Shuiwang Ji
Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla Gomes, Zhi-Ming Ma
A new perspective on building efficient and expressive 3D equivariant graph neural networks. CoRR (2023)
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
Graph Mixup with Soft Alignments. ICML (2023)
Xuan Zhang, Shenglong Xu, Shuiwang Ji
A Score-Based Model for Learning Neural Wavefunctions. CoRR (2023)
Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian. CoRR (2023)
Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. CoRR (2023)
Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji
A Latent Diffusion Model for Protein Structure Generation. LoG (2023)
Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji
Learning Hierarchical Protein Representations via Complete 3D Graph Networks. ICLR (2023)
Yaochen Xie, Zhao Xu, Jingtun Zhang, Zhengyang Wang, Shuiwang Ji
Self-Supervised Learning of Graph Neural Networks: A Unified Review. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji
Group Equivariant Fourier Neural Operators for Partial Differential Equations. CoRR (2023)
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR (2023)
Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. CoRR (2023)
Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji
Explainability in Graph Neural Networks: A Taxonomic Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji
A Latent Diffusion Model for Protein Structure Generation. CoRR (2023)
Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Automated Data Augmentations for Graph Classification. ICLR (2023)
Zhengyang Wang, Shuiwang Ji
Second-Order Pooling for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji
Group Equivariant Fourier Neural Operators for Partial Differential Equations. ICML (2023)
Cong Fu, Jacob Helwig, Shuiwang Ji
Semi-Supervised Learning for High-Fidelity Fluid Flow Reconstruction. LoG (2023)
Youzhi Luo, Chengkai Liu, Shuiwang Ji
Towards Symmetry-Aware Generation of Periodic Materials. CoRR (2023)
Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou
Learning Fair Graph Representations via Automated Data Augmentations. ICLR (2023)
Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
3D Molecular Geometry Analysis with 2D Graphs. CoRR (2023)
Yaochen Xie, Ziqian Xie, Sheikh Muhammad Saiful Islam, Degui Zhi, Shuiwang Ji
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies. CoRR (2023)
Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon
Graph and Geometry Generative Modeling for Drug Discovery. KDD (2023)
Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. NeurIPS (2023)
Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong
Video Timeline Modeling For News Story Understanding. CoRR (2023)
Meng Liu, Haoran Liu, Shuiwang Ji
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models. ICLR (2023)
Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian. ICML (2023)
Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. CoRR (2023)
Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla P. Gomes, Zhi-Ming Ma
A new perspective on building efficient and expressive 3D equivariant graph neural networks. NeurIPS (2023)
Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji
Group Contrastive Self-Supervised Learning on Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Jie Wang, Rui Yang, Zijie Geng, Zhihao Shi, Mingxuan Ye, Qi Zhou, Shuiwang Ji, Bin Li, Yongdong Zhang, Feng Wu
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution. CoRR (2023)
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
Graph Mixup with Soft Alignments. CoRR (2023)
Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. NeurIPS (2023)
Yaochen Xie, Zhao Xu, Shuiwang Ji
Self-Supervised Representation Learning via Latent Graph Prediction. ICML (2022)
Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs. NeurIPS (2022)
Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji
GraphFM: Improving Large-Scale GNN Training via Feature Momentum. ICML (2022)
Meng Liu, Haiyang Yu, Shuiwang Ji
Your Neighbors Are Communicating: Towards Powerful and Scalable Graph Neural Networks. CoRR (2022)
Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji
FlowX: Towards Explainable Graph Neural Networks via Message Flows. CoRR (2022)
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
Task-Agnostic Graph Explanations. NeurIPS (2022)
Lei Cai, Jundong Li, Jie Wang, Shuiwang Ji
Line Graph Neural Networks for Link Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji
GOOD: A Graph Out-of-Distribution Benchmark. NeurIPS (2022)
Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs. CoRR (2022)
Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji
GraphFM: Improving Large-Scale GNN Training via Feature Momentum. CoRR (2022)
Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding. CoRR (2022)
Meng Liu, Shuiwang Ji
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences. SDM (2022)
Xueliang Wang, Jianyu Cai, Shuiwang Ji, Houqiang Li, Feng Wu, Jie Wang
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification. CoRR (2022)
Youzhi Luo, Shuiwang Ji
An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch. ICLR (2022)
Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. CoRR (2022)
Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji
GOOD: A Graph Out-of-Distribution Benchmark. CoRR (2022)
Meng Liu, Shuiwang Ji
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences. CoRR (2022)
Yaochen Xie, Zhao Xu, Shuiwang Ji
Self-Supervised Representation Learning via Latent Graph Prediction. CoRR (2022)
Shuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu
Frontiers of Graph Neural Networks with DIG. KDD (2022)
Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji
Periodic Graph Transformers for Crystal Material Property Prediction. NeurIPS (2022)
Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Generating 3D Molecules for Target Protein Binding. CoRR (2022)
Hao Yuan, Lei Cai, Xia Hu, Jie Wang, Shuiwang Ji
Interpreting Image Classifiers by Generating Discrete Masks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Yaochen Xie, Yu Ding, Shuiwang Ji
Augmented Equivariant Attention Networks for Microscopy Image Transformation. IEEE Trans. Medical Imaging 41 (11) (2022)
Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Automated Data Augmentations for Graph Classification. CoRR (2022)
Hongyang Gao, Shuiwang Ji
Graph U-Nets. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Meng Liu, Zhengyang Wang, Shuiwang Ji
Non-Local Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Generating 3D Molecules for Target Protein Binding. ICML (2022)
Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings. CoRR (2022)
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
Task-Agnostic Graph Explanations. CoRR (2022)
Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji
Periodic Graph Transformers for Crystal Material Property Prediction. CoRR (2022)
Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji
Spherical Message Passing for 3D Molecular Graphs. ICLR (2022)
Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems. CoRR (2022)
Meng Liu, Haoran Liu, Shuiwang Ji
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models. CoRR (2022)
Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. KDD (2022)
Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji
Learning Protein Representations via Complete 3D Graph Networks. CoRR (2022)
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji
DIG: A Turnkey Library for Diving into Graph Deep Learning Research. CoRR (2021)
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora Oztekin, Xuan Zhang, Shuiwang Ji
DIG: A Turnkey Library for Diving into Graph Deep Learning Research. J. Mach. Learn. Res. 22 (2021)
Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
Machine Learning Explanations to Prevent Overtrust in Fake News Detection. ICWSM (2021)
Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji
On Explainability of Graph Neural Networks via Subgraph Explorations. CoRR (2021)
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Shuiwang Ji, Yao Zhao
Adversarial Graph Disentanglement. CoRR (2021)
Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence. CoRR (2021)
Zhengyang Wang, Shuiwang Ji
Smoothed dilated convolutions for improved dense prediction. Data Min. Knowl. Discov. 35 (4) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shuiwang Ji