Yilun Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
11
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGIR | Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices. | Clark Mingxuan Ju, Tong Zhao, Leonardo Neves, Liam Collins, Bhuvesh Kumar, Jiwen Ren, Lili Zhang, Wenfeng Zhuo, Wen Zhang, Xiao Bai, Jinchao Li, Karthik Iyer, Zihao Fan, Yilun Xu, Yiwen Chen, Peicheng Yu, Manish Malik, Neil Shah |
| 2025 | CHI | TableNarrator: Making Image Tables Accessible to Blind and Low Vision People. | Ye Mo, Gang Huang, Liangcheng Li, Dazhen Deng, Zhi Yu, Yilun Xu, Kai Ye, Sheng Zhou, Jiajun Bu |
| 2025 | FCCM | Multi-FPGA Synchronization and Data Communication for Quantum Control and Measurement. | Yilun Xu, Abhi D. Rajagopala, Neelay Fruitwala, Gang Huang |
| 2025 | ICLR | Truncated Consistency Models. | Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie |
| 2025 | ICLR | Think while You Generate: Discrete Diffusion with Planned Denoising. | Sulin Liu, Juno Nam, Andrew Campbell, Hannes Strk, Yilun Xu, Tommi S. Jaakkola, Rafael Gmez-Bombarelli |
| 2025 | ICLR | Heavy-Tailed Diffusion Models. | Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani |
| 2025 | ICLR | Energy-Based Diffusion Language Models for Text Generation. | Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat |
| 2025 | IJCNN | CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise. | Zhenxiao Fu, Leyi Zhao, Xuhong Zhang, Yilun Xu, Gang Huang, Fan Chen |
| 2025 | Mobisys | First-principle crosstalk dynamics and Hamiltonian learning via Rabi experiments. | Jan Balewski, Adam Winick, Yilun Xu, Neel Vora, Gang Huang, David Santiago, Joseph Emerson, Irfan Siddiqi |
| 2025 | Mobisys | Computing Systems for Superconducting Qubits: Challenges and Opportunities. | Vu Le, Neel Vora, Devanshu Brahmbhatt, Yilun Xu, Gang Huang, Phuc "VP" Nguyen |
| 2025 | QCE | QubiCML: ML-Powered Real-Time Quantum State Discrimination Enabling Mid-Circuit Measurements. | Neel R. Vora, Yilun Xu, Akel Hasim, Neelay Fruitwala, Nam Nguyen, Haoran Liao, Jan Balewski, Abhi D. Rajagopala, Kasra Nowrouzi, Qing Ji, K. Birgitta Whaley, Irfan Siddiqi, Phuc Nguyen, Gang Huang |
| 2024 | DAC | TITAN: A Fast and Distributed Large-Scale Trapped-Ion NISQ Computer. | Cheng Chu, Zhenxiao Fu, Yilun Xu, Gang Huang, Hausi A. Mller, Fan Chen, Lei Jiang |
| 2024 | ICLR | Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models. | Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola |
| 2024 | ICML | DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents. | Yilun Xu, Gabriele Corso, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis |
| 2024 | IJCNN | QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines. | Zhenxiao Fu, Min Yang, Cheng Chu, Yilun Xu, Gang Huang, Fan Chen |
| 2024 | QCE | Updated QubiC: Improved Scalability, Performance, and QPU Support. | Gang Huang, Yilun Xu, Neelay Fruitwala, Abhi D. Rajagopala, Akel Hashim, Neel Vora, Kasra Nowrouzi, Ravi Naik, David Santiago, Irfan Siddiqi |
| 2024 | QCE | QubiCML: ML-Powered Real-Time Quantum State Discrimination Enabling Mid-Circuit Measurements. | Neel R. Vora, Yilun Xu, Akel Hasim, Neelay Fruitwala, Nam Nguyen, Haoran Liao, Jan Balewski, Abhi D. Rajagopala, Kasra Nowrouzi, Qing Ji, K. Birgitta Whaley, Irfan Siddiqi, Phuc Nguyen, Gang Huang |
| 2023 | ICLR | Stable Target Field for Reduced Variance Score Estimation in Diffusion Models. | Yilun Xu, Shangyuan Tong, Tommi S. Jaakkola |
| 2023 | ICML | PFGM++: Unlocking the Potential of Physics-Inspired Generative Models. | Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola |
| 2023 | IECON | Physics-Driven Deep Panoramic Imaging for High Dynamic Range Scenes. | Chaobing Zheng, Yilun Xu, Weihai Chen, Shiqian Wu, Zhengguo Li |
| 2023 | QCE | QubiC 2.0: A Flexible Advanced Full Stack Quantum Bit Control System. | Gang Huang, Yilun Xu, Neelay Fruitwala, Abhi D. Rajagopala, Kasra Nowrouzi, Ravi Naik, David Santiago, Irfan Siddiqi |
| 2022 | ICLR | Controlling Directions Orthogonal to a Classifier. | Yilun Xu, Hao He, Tianxiao Shen, Tommi S. Jaakkola |
| 2022 | QCE | Distributed Processor for FPGA-based Superconducting Qubit Control. | Neelay Fruitwala, Yilun Xu, Ravi Naik, Kasra Nowrouzi, Gang Huang |
| 2021 | ICLR | Anytime Sampling for Autoregressive Models via Ordered Autoencoding. | Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon |
| 2021 | ICML | Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? | Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville |
| 2020 | ECCV | TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. | Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang |
| 2020 | ICLR | A Theory of Usable Information under Computational Constraints. | Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon |
| 2019 | ICLR | Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. | Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang |