Zhang, Xuan

43 publications

ICLR 2026 A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling Jacob Helwig, Sai Sreeharsha Adavi, Xuan Zhang, Yuchao Lin, Felix S. Chim, Luke Takeshi Vizzini, Haiyang Yu, Muhammad Hasnain, Saykat Kumar Biswas, John J. Holloway, Narendra Singh, N. K. Anand, Swagnik Guhathakurta, Shuiwang Ji

ICLR 2026 CircuitSense: A Hierarchical MLLM Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process Arman Akbari, Jian Gao, Yifei Zou, Mei Yang, Jinru Duan, Dmitrii Torbunov, Yanzhi Wang, Yihui Ren, Xuan Zhang

ICLR 2026 Convergence Analysis of Tsetlin Machines Under Noise-Free and Noisy Training Conditions: From $2$ Bits to $k$ Bits Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo

ICLR 2026 Count Counts: Motivating Exploration in LLM Reasoning with Count-Based Intrinsic Rewards Xuan Zhang, Ruixiao Li, Zhijian Zhou, Long Li, Yulei Qin, Ke Li, Xing Sun, Xiaoyu Tan, Chao Qu, Yuan Qi

ICLR 2026 Echo: Towards Advanced Audio Comprehension via Audio-Interleaved Reasoning Daiqing Wu, Xuan Zhang, Dongbao Yang, Jiashu Yao, Longfei Chen, Qingsong Liu, Sicheng Zhao, Can Ma, Yangyang Kang, Yu Zhou

ICLR 2026 Learn the Ropes, Then Trust the Wins: Self-Imitation with Progressive Exploration for Agentic Reinforcement Learning Yulei Qin, Xiaoyu Tan, Zhengbao He, Gang Li, Haojia Lin, Zongyi Li, Zihan Xu, Yuchen Shi, Siqi Cai, Renting Rui, Shaofei Cai, Yuzheng Cai, Xuan Zhang, Sheng Ye, Ke Li, Xing Sun

ICLR 2026 Orbital Transformers for Predicting Wavefunctions in Time-Dependent Density Functional Theory Xuan Zhang, Haiyang Yu, Chengdong Wang, Jacob Helwig, Shuiwang Ji, Xiaofeng Qian

TMLR 2026 VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents Rui Meng, Ziyan Jiang, Ye Liu, Mingyi Su, Xinyi Yang, Yuepeng Fu, Can Qin, Raghuveer Thirukovalluru, Xuan Zhang, Zeyuan Chen, Ran Xu, Caiming Xiong, Yingbo Zhou, Wenhu Chen, Semih Yavuz

NeurIPS 2025 ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Xiaomeng Yang, Lei Lu, Qihui Fan, Changdi Yang, Juyi Lin, Yanzhi Wang, Xuan Zhang, Shangqian Gao

NeurIPS 2025 Aligning by Misaligning: Boundary-Aware Curriculum Learning for Multimodal Alignment Hua Ye, Hang Ding, Siyuan Chen, Yiyang Jiang, Zhang Changyuan, Xuan Zhang

ICML 2025 AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery Through Lightweight Graph Modeling Jian Gao, Weidong Cao, Xuan Zhang

ICLR 2025 AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies Jian Gao, Weidong Cao, Junyi Yang, Xuan Zhang

FTML 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 BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Tan, Zhuoran Yang

AAAI 2025 Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere Sensen Zhang, Xun Liang, Simin Niu, Zhendong Niu, Bo Wu, Gengxin Hua, Long Wang, Zhenyu Guan, Hanyu Wang, Xuan Zhang, Zhiyu Li, Yuefeng Ma

TMLR 2025 LightTransfer: Your Long-Context LLM Is Secretly a Hybrid Model with Effortless Adaptation Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao, Min Lin

ICLRW 2025 LightTransfer: Your Long-Context LLM Is Secretly a Hybrid Model with Effortless Adaptation Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao, Min Lin

NeurIPS 2025 ML4CFD Competition: Results and Retrospective Analysis Mouadh Yagoubi, David Danan, Milad Leyli-abadi, Jocelyn Ahmed Mazari, Jean-Patrick Brunet, Abbas Kabalan, Fabien Casenave, Yuxin Ma, Giovanni Catalani, Jean Fesquet, Jacob Helwig, Xuan Zhang, Haiyang Yu, Xavier Bertrand, Frédéric Tost, Michael Bauerheim, Joseph Morlier, Shuiwang Ji

WACV 2025 PrivateEye: In-Sensor Privacy Preservation Through Optical Feature Separation Adith Boloor, Weikai Lin, Tianrui Ma, Yu Feng, Yuhao Zhu, Xuan Zhang

NeurIPS 2025 Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning Hua Ye, Siyuan Chen, Haoliang Zhang, Weihao Luo, Yanbin Li, Xuan Zhang

NeurIPS 2025 Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning Jiayu Zhang, Changbang Li, Yinan Peng, Weihao Luo, Peilai Yu, Xuan Zhang

AAAI 2024 Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract) Sensen Zhang, Xun Liang, Simin Niu, Xuan Zhang, Chen Feng, Yuefeng Ma

NeurIPS 2024 Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin

ECCVW 2024 Hyperspectral Imaging and Computer Vision Based Remote Monitoring of SO2 Emissions in Maritime Vessels Arnoud Jochemsen, Hege Indresand, Martin Chamberland, Etienne Drouin, Jan Robert Fiksdal, Xuan Zhang, Nabil Belbachir

AAAI 2024 Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu

ICLR 2024 SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji

AAAI 2024 When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract) Simin Niu, Xun Liang, Sensen Zhang, Shichao Song, Xuan Zhang, Xiaoping Zhou

IJCAI 2023 Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang

ICLR 2023 CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang

CVPR 2023 DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection Xuan Zhang, Shiyu Li, Xi Li, Ping Huang, Jiulong Shan, Ting Chen

ICML 2023 Group Equivariant Fourier Neural Operators for Partial Differential Equations Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji

ECML-PKDD 2022 Charge Own Job: Saliency mAP and Visual Word Encoder for Image-Level Semantic Segmentation Yuhui Guo, Xun Liang, Hui Tang, Xiangping Zheng, Bo Wu, Xuan Zhang

ECML-PKDD 2022 MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-Modal Contexts Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, Yuhui Guo

NeurIPSW 2022 Near-Optimal Decentralized Algorithms for Network Dynamic Optimization Judy Gan, Yashodhan Kanoria, Xuan Zhang

NeurIPS 2022 SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems Xuan Zhang, Necdet Serhat Aybat, Mert Gurbuzbalaban

ICLR 2022 Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel Rubin, Christopher Lee-Messer

ICLR 2022 Spherical Message Passing for 3D Molecular Graphs Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji

ICCVW 2021 Can Optical Trojans Assist Adversarial Perturbations? Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik

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

ICLR 2021 Disentangled Recurrent Wasserstein Autoencoder Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang

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

CVPR 2020 Quaternion Product Units for Deep Learning on 3D Rotation Groups Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu

NeurIPS 2019 Balancing Efficiency and Fairness in On-Demand Ridesourcing Nixie S Lesmana, Xuan Zhang, Xiaohui Bei