Yilun Xu - RankMe

68 papers A* 18A 3B 2C 1Misc 5Journal 37Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Scalable Open-Source QEC System with Sub-Microsecond Decoding-Feedback Latency. CoRR Junyi Liu, Yi Lee, Yilun Xu, Gang Huang, Xiaodi Wu
2025	A	`conf`	Computing Systems for Superconducting Qubits: Challenges and Opportunities. MobiSys Vu Le, Neel Vora, Devanshu Brahmbhatt, Yilun Xu, Gang Huang, Phuc "VP" Nguyen
2025	B	`conf`	CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise. IJCNN Zhenxiao Fu, Leyi Zhao, Xuhong Zhang, Yilun Xu, Gang Huang, Fan Chen
2025	J	`jnl`	CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise. CoRR Zhenxiao Fu, Leyi Zhao, Xuhong Zhang, Yilun Xu, Gang Huang, Fan Chen
2025	A*	`conf`	Energy-Based Diffusion Language Models for Text Generation. ICLR Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat
2025	A	`conf`	First-principle crosstalk dynamics and Hamiltonian learning via Rabi experiments. MobiSys Jan Balewski, Adam Winick, Yilun Xu, Neel Vora, Gang Huang, David Santiago, Joseph Emerson, Irfan Siddiqi
2025	A*	`conf`	Heavy-Tailed Diffusion Models. ICLR Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2025	J	`jnl`	Heterophilous distribution propagation for Graph Neural Networks. Neural Networks Zhuonan Zheng, Sheng Zhou, Hongjia Xu, Ming Gu, Yilun Xu, Ao Li, Yuhong Li, Jingjun Gu, Jiajun Bu
2025	Misc	`conf`	Multi-FPGA Synchronization and Data Communication for Quantum Control and Measurement. FCCM Yilun Xu, Abhi D. Rajagopala, Neelay Fruitwala, Gang Huang
2025	J	`jnl`	Neural augmentation based panoramic high dynamic range stitching. Neurocomputing Chaobing Zheng, Yilun Xu, Weihai Chen, Shiqian Wu, Sen Zhang, Zhengguo Li
2025	J	`jnl`	One-step Diffusion Models with CoRR Yilun Xu, Weili Nie, Arash Vahdat
2025	A*	`conf`	TableNarrator: Making Image Tables Accessible to Blind and Low Vision People. CHI Ye Mo, Gang Huang, Liangcheng Li, Dazhen Deng, Zhi Yu, Yilun Xu, Kai Ye, Sheng Zhou, Jiajun Bu
2025	A*	`conf`	Think while You Generate: Discrete Diffusion with Planned Denoising. ICLR Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi S. Jaakkola, Rafael Gómez-Bombarelli
2025	A*	`conf`	Truncated Consistency Models. ICLR Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie
2024	J	`jnl`	A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
2024	J	`jnl`	Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach. BMC Medical Informatics Decis. Mak. Xiaoli Wu, Hao Wu, Shouliang Miao, Guoquan Cao, Huang Su, Jie Pan, Yilun Xu
2024	A*	`conf`	DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents. ICML Yilun Xu, Gabriele Corso, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis
2024	J	`jnl`	DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents. CoRR Yilun Xu, Gabriele Corso, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis
2024	J	`jnl`	Distributed Architecture for FPGA-based Superconducting Qubit Control. CoRR Neelay Fruitwala, Gang Huang, Yilun Xu, Abhi D. Rajagopala, Akel Hashim, Ravi Naik, Kasra Nowrouzi, David I. Santiago, Irfan Siddiqi
2024	J	`jnl`	Energy-Based Diffusion Language Models for Text Generation. CoRR Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat
2024	A*	`conf`	Hamiltonian Score Matching and Generative Flows. NeurIPS Peter Holderrieth, Yilun Xu, Tommi S. Jaakkola
2024	J	`jnl`	Hamiltonian Score Matching and Generative Flows. CoRR Peter Holderrieth, Yilun Xu, Tommi S. Jaakkola
2024	J	`jnl`	Heavy-Tailed Diffusion Models. CoRR Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2024	J	`jnl`	Heterophilous Distribution Propagation for Graph Neural Networks. CoRR Zhuonan Zheng, Sheng Zhou, Hongjia Xu, Ming Gu, Yilun Xu, Ao Li, Yuhong Li, Jingjun Gu, Jiajun Bu
2024	J	`jnl`	Neural Augmentation Based Panoramic High Dynamic Range Stitching. CoRR Chaobing Zheng, Yilun Xu, Weihai Chen, Shiqian Wu, Zhengguo Li
2024	A*	`conf`	Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models. ICLR Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola
2024	B	`conf`	QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines. IJCNN Zhenxiao Fu, Min Yang, Cheng Chu, Yilun Xu, Gang Huang, Fan Chen
2024	J	`jnl`	QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines. CoRR Zhenxiao Fu, Min Yang, Cheng Chu, Yilun Xu, Gang Huang, Fan Chen
2024	Misc	`conf`	QubiCML: ML-Powered Real-Time Quantum State Discrimination Enabling Mid-Circuit Measurements. QCE Neel R. Vora, Yilun Xu, Akel Hasim, Neelay Fruitwala, Nam Nguyen, Horan Liao, Jan Balewski, Abhi D. Rajagopala, Kasra Nowrouzi, Qing Ji, K. Birgitta Whaley, Irfan Siddiqi, Phuc Nguyen, Gang Huang
2024	J	`jnl`	TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer. CoRR Cheng Chu, Zhenxiao Fu, Yilun Xu, Gang Huang, Hausi A. Müller, Fan Chen, Lei Jiang
2024	A*	`conf`	TITAN: A Fast and Distributed Large-Scale Trapped-Ion NISQ Computer. DAC Cheng Chu, Zhenxiao Fu, Yilun Xu, Gang Huang, Hausi A. Müller, Fan Chen, Lei Jiang
2024	J	`jnl`	Think While You Generate: Discrete Diffusion with Planned Denoising. CoRR Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi S. Jaakkola, Rafael Gómez-Bombarelli
2024	J	`jnl`	Truncated Consistency Models. CoRR Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie
2024	Misc	`conf`	Updated QubiC: Improved Scalability, Performance, and QPU Support. QCE Gang Huang, Yilun Xu, Neelay Fruitwala, Abhi D. Rajagopala, Akel Hashim, Neel Vora, Kasra Nowrouzi, Ravi Naik, David Santiago, Irfan Siddiqi
2023	J	`jnl`	Automatic Qubit Characterization and Gate Optimization with ACM Trans. Quantum Comput. Yilun Xu, Gang Huang, Jan Balewski, Alexis Morvan, Kasra Nowrouzi, David I. Santiago, Ravi K. Naik, Brad Mitchell, Irfan Siddiqi
2023	J	`jnl`	GenPhys: From Physical Processes to Generative Models. CoRR Ziming Liu, Di Luo, Yilun Xu, Tommi S. Jaakkola, Max Tegmark
2023	A*	`conf`	PFGM++: Unlocking the Potential of Physics-Inspired Generative Models. ICML Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola
2023	J	`jnl`	PFGM++: Unlocking the Potential of Physics-Inspired Generative Models. CoRR Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola
2023	J	`jnl`	Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models. CoRR Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola
2023	C	`conf`	Physics-Driven Deep Panoramic Imaging for High Dynamic Range Scenes. IECON Chaobing Zheng, Yilun Xu, Weihai Chen, Shiqian Wu, Zhengguo Li
2023	Misc	`conf`	QubiC 2.0: A Flexible Advanced Full Stack Quantum Bit Control System. QCE Gang Huang, Yilun Xu, Neelay Fruitwala, Abhi D. Rajagopala, Kasra Nowrouzi, Ravi Naik, David Santiago, Irfan Siddiqi
2023	A*	`conf`	Restart Sampling for Improving Generative Processes. NeurIPS Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi S. Jaakkola
2023	J	`jnl`	Restart Sampling for Improving Generative Processes. CoRR Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi S. Jaakkola
2023	A*	`conf`	Stable Target Field for Reduced Variance Score Estimation in Diffusion Models. ICLR Yilun Xu, Shangyuan Tong, Tommi S. Jaakkola
2023	J	`jnl`	Stable Target Field for Reduced Variance Score Estimation in Diffusion Models. CoRR Yilun Xu, Shangyuan Tong, Tommi S. Jaakkola
2022	A*	`conf`	Controlling Directions Orthogonal to a Classifier. ICLR Yilun Xu, Hao He, Tianxiao Shen, Tommi S. Jaakkola
2022	J	`jnl`	Controlling Directions Orthogonal to a Classifier. CoRR Yilun Xu, Hao He, Tianxiao Shen, Tommi S. Jaakkola
2022	J	`jnl`	Deep Joint Demosaicing and High Dynamic Range Imaging Within a Single Shot. IEEE Trans. Circuits Syst. Video Technol. Yilun Xu, Ziyang Liu, Xingming Wu, Weihai Chen, Changyun Wen, Zhengguo Li
2022	Misc	`conf`	Distributed Processor for FPGA-based Superconducting Qubit Control. QCE Neelay Fruitwala, Yilun Xu, Ravi Naik, Kasra Nowrouzi, Gang Huang
2022	A*	`conf`	Poisson Flow Generative Models. NeurIPS Yilun Xu, Ziming Liu, Max Tegmark, Tommi S. Jaakkola
2022	J	`jnl`	Poisson Flow Generative Models. CoRR Yilun Xu, Ziming Liu, Max Tegmark, Tommi S. Jaakkola
2022	J	`jnl`	Using gravity model to make store closing decisions: A data driven approach. Expert Syst. Appl. Mohsen Bahrami, Yilun Xu, Miles Tweed, Burçin Bozkaya, Alex 'Sandy' Pentland
2021	A*	`conf`	Anytime Sampling for Autoregressive Models via Ordered Autoencoding. ICLR Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon
2021	J	`jnl`	Anytime Sampling for Autoregressive Models via Ordered Autoencoding. CoRR Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon
2021	A*	`conf`	Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville
2021	J	`jnl`	Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? CoRR Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville
2021	J	`jnl`	Color Mapping Functions For HDR Panorama Imaging: Weighted Histogram Averaging. CoRR Yilun Xu, Zhengguo Li, Weihai Chen, Changyun Wen
2021	J	`jnl`	Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot. CoRR Yilun Xu, Ziyang Liu, Xingming Wu, Weihai Chen, Changyun Wen, Zhengguo Li
2021	J	`jnl`	Learning Representations that Support Robust Transfer of Predictors. CoRR Yilun Xu, Tommi S. Jaakkola
2021	A	`conf`	Restoration of HDR Images for SVE-Based HDRI via a Novel DCNN. ICME Yilun Xu, Ziyang Liu, Xingming Wu, Weihai Chen, Zhengguo Li
2020	J	`jnl`	A Theory of Usable Information Under Computational Constraints. CoRR Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon
2020	A*	`conf`	A Theory of Usable Information under Computational Constraints. ICLR Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon
2020	J	`jnl`	TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning. CoRR Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang
2020	—	`conf`	TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. ECCV (3) Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang
2019	A*	`conf`	L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise. NeurIPS Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang
2019	J	`jnl`	L_DMI: An Information-theoretic Noise-robust Loss Function. CoRR Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang
2019	—	`conf`	Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. ICLR (Poster) Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang
2019	J	`jnl`	Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. CoRR Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang