Xu, Zhao

29 publications

FnTML 2025 Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems 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

ICML 2025 CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation Minghao Fu, Guo-Hua Wang, Liangfu Cao, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang

ICCV 2025 MDP3: A Training-Free Approach for List-Wise Frame Selection in Video-LLMs Hui Sun, Shiyin Lu, Huanyu Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Ming Li

ICML 2025 Parrot: Multilingual Visual Instruction Tuning Hai-Long Sun, Da-Wei Zhou, Yang Li, Shiyin Lu, Chao Yi, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2025 SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models Yibo Wang, Guangda Huzhang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang

ICCV 2025 TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Minghao Fu, Guo-Hua Wang, Xiaohao Chen, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang

NeurIPS 2025 Triplets Better than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs Yibo Wang, Hai-Long Sun, Guangda Huzhang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang

CVPR 2025 UNIC-Adapter: Unified Image-Instruction Adapter with Multi-Modal Transformer for Image Generation Lunhao Duan, Shanshan Zhao, Wenjun Yan, Yinglun Li, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Mingming Gong, Gui-Song Xia

ECML-PKDD 2024 A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew

NeurIPS 2024 Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees Sijia Chen, Yibo Wang, Yi-Feng Wu, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang

NeurIPS 2024 Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs Zhao Xu, Fan Liu, Hao Liu

TMLR 2024 Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction Zhao Xu, Haiyang Yu, Montgomery Bohde, Shuiwang Ji

NeurIPS 2024 Wings: Learning Multimodal LLMs Without Text-Only Forgetting Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

ICML 2023 Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

ICML 2022 Self-Supervised Representation Learning via Latent Graph Prediction Yaochen Xie, Zhao Xu, Shuiwang Ji

MLOSS 2021 DIG: A Turnkey Library for Diving into Graph Deep Learning Research 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 M Oztekin, Xuan Zhang, Shuiwang Ji

NeurIPSW 2021 Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji

NeurIPS 2021 Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang

ECML-PKDD 2017 Graph Enhanced Memory Networks for Sentiment Analysis Zhao Xu, Romain Vial, Kristian Kersting

IJCAI 2017 Stochastic Online Anomaly Analysis for Streaming Time Series Zhao Xu, Kristian Kersting, Lorenzo von Ritter

ECML-PKDD 2012 Pedestrian Quantity Estimation with Trajectory Patterns Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel

AAAI 2012 Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Christian Bauckhage, Christian Thurau, Christoph Römer, Agim Ballvora, Uwe Rascher, Jens Leon, Lutz Plümer

ECML-PKDD 2010 Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes Zhao Xu, Kristian Kersting, Thorsten Joachims

ECML-PKDD 2010 Topic Models Conditioned on Relations Mirwaes Wahabzada, Zhao Xu, Kristian Kersting

ECML-PKDD 2009 Learning Preferences with Hidden Common Cause Relations Kristian Kersting, Zhao Xu

IJCAI 2009 Multi-Relational Learning with Gaussian Processes Zhao Xu, Kristian Kersting, Volker Tresp

UAI 2006 Infinite Hidden Relational Models Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel

NeurIPS 2006 Stochastic Relational Models for Discriminative Link Prediction Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu

ICML 2005 Dirichlet Enhanced Relational Learning Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel