Yaochen Xie

41 papers A* 6A 1B 1Journal 30Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Agent A/B: Automated and Scalable A/B Testing on Live Websites with Interactive LLM Agents.
CHI Extended Abstracts
Yuxuan Lu, Ting-Yao Hsu, Hansu Gu, Limeng Cui, Yaochen Xie, William Headden, Bingsheng Yao, Akash Veeragouni, Jiapeng Liu, Sreyashi Nag, Zheshen Jessie Wang, Dakuo Wang
2026 J jnl
The World Won't Stay Still: Programmable Evolution for Agent Benchmarks.
CoRR
Guangrui Li, Yaochen Xie, Yi Liu, Ziwei Dong, Xingyuan Pan, Tianqi Zheng, Jason Choi, Michael J. Morais, Binit Jha, Shaunak Mishra, Bingrou Zhou, Chen Luo, Monica Xiao Cheng, Dawn Song
2025 J jnl
AgentA/B: Automated and Scalable Web A/BTesting with Interactive LLM Agents.
CoRR
Dakuo Wang, Ting-Yao Hsu, Yuxuan Lu, Hansu Gu, Limeng Cui, Yaochen Xie, William Headean, Bingsheng Yao, Akash Veeragouni, Jiapeng Liu, Sreyashi Nag, Jessie Wang
2025 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
Found. Trends Mach. Learn.
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, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, 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 J. 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
2025 J jnl
Beyond Believability: Accurate Human Behavior Simulation with Fine-Tuned LLMs.
CoRR
Yuxuan Lu, Jing Huang, Yan Han, Bennet Bei, Yaochen Xie, Dakuo Wang, Zheshen Jessie Wang, Qi He
2025 — conf
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.
ACL (Findings)
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025 J jnl
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.
CoRR
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025 — conf
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.
NAACL (Long Papers)
Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2024 A conf
3D Molecular Geometry Analysis with 2D Graphs.
SDM
Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
2024 B conf
Exploring Query Understanding for Amazon Product Search.
IEEE Big Data
Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He
2024 J jnl
Exploring Query Understanding for Amazon Product Search.
CoRR
Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He
2024 J jnl
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies.
Trans. Mach. Learn. Res.
Yaochen Xie, Ziqian Xie, Sheikh Muhammad Saiful Islam, Degui Zhi, Shuiwang Ji
2024 J jnl
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.
CoRR
Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2024 A* conf
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations.
ICLR
Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji
2024 J jnl
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations.
CoRR
Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji
2023 J jnl
3D Molecular Geometry Analysis with 2D Graphs.
CoRR
Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
2023 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR
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 J. 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
2023 J jnl
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies.
CoRR
Yaochen Xie, Ziqian Xie, Sheikh Muhammad Saiful Islam, Degui Zhi, Shuiwang Ji
2023 J jnl
Group Contrastive Self-Supervised Learning on Graphs.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji
2023 J jnl
Self-Supervised Learning of Graph Neural Networks: A Unified Review.
IEEE Trans. Pattern Anal. Mach. Intell.
Yaochen Xie, Zhao Xu, Jingtun Zhang, Zhengyang Wang, Shuiwang Ji
2022 J jnl
Advanced graph and sequence neural networks for molecular property prediction and drug discovery.
Bioinform.
Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Qi Qi, Zhuoning Yuan, Tianbao Yang, Shuiwang Ji
2022 J jnl
Augmented Equivariant Attention Networks for Microscopy Image Transformation.
IEEE Trans. Medical Imaging
Yaochen Xie, Yu Ding, Shuiwang Ji
2022 A* conf
Frontiers of Graph Neural Networks with DIG.
KDD
Shuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu
2022 A* conf
Self-Supervised Representation Learning via Latent Graph Prediction.
ICML
Yaochen Xie, Zhao Xu, Shuiwang Ji
2022 J jnl
Self-Supervised Representation Learning via Latent Graph Prediction.
CoRR
Yaochen Xie, Zhao Xu, Shuiwang Ji
2022 A* conf
Task-Agnostic Graph Explanations.
NeurIPS
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2022 J jnl
Task-Agnostic Graph Explanations.
CoRR
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2021 J jnl
DIG: A Turnkey Library for Diving into Graph Deep Learning Research.
CoRR
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
2021 J jnl
DIG: A Turnkey Library for Diving into Graph Deep Learning Research.
J. Mach. Learn. Res.
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
2021 J jnl
Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks.
CoRR
Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji
2021 J jnl
Global voxel transformer networks for augmented microscopy.
Nat. Mach. Intell.
Zhengyang Wang, Yaochen Xie, Shuiwang Ji
2021 J jnl
Group Contrastive Self-Supervised Learning on Graphs.
CoRR
Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji
2021 J jnl
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs.
CoRR
Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
2021 J jnl
Self-Supervised Learning of Graph Neural Networks: A Unified Review.
CoRR
Yaochen Xie, Zhao Xu, Zhengyang Wang, Shuiwang Ji
2020 J jnl
Augmented Equivariant Attention Networks for Electron Microscopy Image Super-Resolution.
CoRR
Yaochen Xie, Yu Ding, Shuiwang Ji
2020 J jnl
Global Voxel Transformer Networks for Augmented Microscopy.
CoRR
Zhengyang Wang, Yaochen Xie, Shuiwang Ji
2020 J jnl
MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery.
CoRR
Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji
2020 A* conf
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising.
NeurIPS
Yaochen Xie, Zhengyang Wang, Shuiwang Ji
2020 J jnl
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising.
CoRR
Yaochen Xie, Zhengyang Wang, Shuiwang Ji
2019 J jnl
Finding the Stars in the Fireworks: Deep Understanding of Motion Sensor Fingerprint.
IEEE/ACM Trans. Netw.
Xiangyang Li, Huiqi Liu, Lan Zhang, Zhenan Wu, Yaochen Xie, Ge Chen, Chunxiao Wan, Zhongwei Liang
2018 A* conf
Finding the Stars in the Fireworks: Deep Understanding of Motion Sensor Fingerprint.
INFOCOM
Huiqi Liu, Xiangyang Li, Lan Zhang, Yaochen Xie, Zhenan Wu, Qian Dai, Ge Chen, Chunxiao Wan