Jiaming Song

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2016–2026

Best venue rank

Where they publish

Papers

52 indexed papers, newest first.

Year	Venue	Title	Authors
2026	AAAI	Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning.	Fu-Yun Wang, Keqiang Sun, Yao Teng, Xihui Liu, Jiale Yuan, Jiaming Song, Hongsheng Li
2026	AAAI	SABER: Switchable and Balanced Training for Efficient LLM Reasoning.	Kai Zhao, Yanjun Zhao, Jiaming Song, Shien He, Lusheng Zhang, Qiang Zhang, Tianjiao Li
2025	CVPR	Personalized Preference Fine-tuning of Diffusion Models.	Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song
2025	CVPR	Decentralized Diffusion Models.	David McAllister, Matthew Tancik, Jiaming Song, Angjoo Kanazawa
2025	ICML	Inductive Moment Matching.	Linqi Zhou, Stefano Ermon, Jiaming Song
2024	AAAI	Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning.	Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
2024	ECCV	DiffiT: Diffusion Vision Transformers for Image Generation.	Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat
2024	ICLR	Seer: Language Instructed Video Prediction with Latent Diffusion Models.	Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao
2024	ICLR	A Variational Perspective on Solving Inverse Problems with Diffusion Models.	Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat
2023	AAAI	Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching.	Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon
2023	CVPR	Affordance Diffusion: Synthesizing Hand-Object Interactions.	Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu
2023	CVPR	DiffCollage: Parallel Generation of Large Content with Diffusion Models.	Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
2023	ICCV	PhysDiff: Physics-Guided Human Motion Diffusion Model.	Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz
2023	ICLR	Pseudoinverse-Guided Diffusion Models for Inverse Problems.	Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz
2023	ICLR	Dual Diffusion Implicit Bridges for Image-to-Image Translation.	Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon
2023	ICML	CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations.	Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon
2023	ICML	Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation.	Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat
2023	MICCAI	SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models.	Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
2023	SIGGRAPH	SIGGRAPH 2023 Course on Diffusion Models.	Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis
2022	AAAI	IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling.	Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon
2022	CVPR	BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster.	Jason Jinquan Dai, Ding Ding, Dongjie Shi, Shengsheng Huang, Jiao Wang, Xin Qiu, Kai Huang, Guoqiong Song, Yang Wang, Qiyuan Gong, Jiaming Song, Shan Yu, Le Zheng, Yina Chen, Junwei Deng, Ge Song
2022	ICLR	SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.	Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
2022	ICLR	Comparing Distributions by Measuring Differences that Affect Decision Making.	Shengjia Zhao, Abhishek Sinha, Yutong He, Aidan Perreault, Jiaming Song, Stefano Ermon
2022	ICML	A General Recipe for Likelihood-free Bayesian Optimization.	Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon
2021	ICLR	Improved Autoregressive Modeling with Distribution Smoothing.	Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon
2021	ICLR	Negative Data Augmentation.	Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
2021	ICLR	Denoising Diffusion Implicit Models.	Jiaming Song, Chenlin Meng, Stefano Ermon
2020	AISTATS	Gaussianization Flows.	Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon
2020	AISTATS	Permutation Invariant Graph Generation via Score-Based Generative Modeling.	Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon
2020	ECCV	Robust and On-the-Fly Dataset Denoising for Image Classification.	Jiaming Song, Yann N. Dauphin, Michael Auli, Tengyu Ma
2020	ICLR	Understanding the Limitations of Variational Mutual Information Estimators.	Jiaming Song, Stefano Ermon
2020	ICLR	A Theory of Usable Information under Computational Constraints.	Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon
2020	ICML	Domain Adaptive Imitation Learning.	Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon
2020	ICML	Bridging the Gap Between f-GANs and Wasserstein GANs.	Jiaming Song, Stefano Ermon
2020	ICML	Training Deep Energy-Based Models with f-Divergence Minimization.	Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
2019	AAAI	InfoVAE: Balancing Learning and Inference in Variational Autoencoders.	Shengjia Zhao, Jiaming Song, Stefano Ermon
2019	AISTATS	Learning Controllable Fair Representations.	Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon
2019	CIS	A New Scheduling Model for Tire Production and Transportation Among Distributed Factories.	Jiaming Song, Xiaobo Song, Xiaoli Wang
2019	DASFAA	A Scalable Sparse Matrix-Based Join for SPARQL Query Processing.	Xiaowang Zhang, Mingyue Zhang, Peng Peng, Jiaming Song, Zhiyong Feng, Lei Zou
2019	ICLR	Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting.	Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon
2019	ICML	Calibrated Model-Based Deep Reinforcement Learning.	Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon
2019	ICML	Multi-Agent Adversarial Inverse Reinforcement Learning.	Lantao Yu, Jiaming Song, Stefano Ermon
2018	ICLR	Multi-Agent Generative Adversarial Imitation Learning.	Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon
2018	ICML	Accelerating Natural Gradient with Higher-Order Invariance.	Yang Song, Jiaming Song, Stefano Ermon
2018	IJCAI	Adversarial Constraint Learning for Structured Prediction.	Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon
2018	WWW	MapSQ: A Plugin-based MapReduce Framework for SPARQL Queries on GPU.	Jiaming Song, Xiaowang Zhang, Peng Peng, Zhiyong Feng, Lei Zou
2018	UAI	A Lagrangian Perspective on Latent Variable Generative Models.	Shengjia Zhao, Jiaming Song, Stefano Ermon
2017	BigData	SPARQL Query Parallel Processing: A Survey.	Jiaying Feng, Chenhong Meng, Jiaming Song, Xiaowang Zhang, Zhiyong Feng, Lei Zou
2017	ICLR	Generative Adversarial Learning of Markov Chains.	Jiaming Song, Shengjia Zhao, Stefano Ermon
2017	ICML	Learning Hierarchical Features from Deep Generative Models.	Shengjia Zhao, Jiaming Song, Stefano Ermon
2016	AAAI	Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.	Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang
2016	ICML	Factored Temporal Sigmoid Belief Networks for Sequence Learning.	Jiaming Song, Zhe Gan, Lawrence Carin