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ORCIDJiajun He 0003
Person information
- affiliation: University of Cambridge, UK
Other persons with the same name
- Jiajun He — disambiguation page
- Jiajun He 0001
![[0000-0003-4304-7354]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4304-7354")
— City University of Hong Kong, Department of Electrical Engineering, Hong Kong - Jiajun He 0002 — Zhejiang Sci-Tech University, School of Mechanical Engineering and Automation, Hangzhou, China
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2020 – today
- 2025
[c5]Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, José Miguel Hernández-Lobato:
Training Neural Samplers with Reverse Diffusive KL Divergence. AISTATS 2025: 5167-5175- [c4]Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato:
Progressive Tempering Sampler with Diffusion. ICML 2025 - [i16]Jiajun He, Yuanqi Du, Francisco Vargas, Dinghuai Zhang, Shreyas Padhy, Ruikang Ouyang, Carla P. Gomes, José Miguel Hernández-Lobato:
No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers. CoRR abs/2502.06685 (2025) - [i15]Mingtian Zhang, Jiajun He, Wenlin Chen, Zijing Ou, José Miguel Hernández-Lobato, Bernhard Schölkopf, David Barber:
Towards Training One-Step Diffusion Models Without Distillation. CoRR abs/2502.08005 (2025) - [i14]Jiajun He, Yuanqi Du, Francisco Vargas, Yuanqing Wang, Carla P. Gomes, José Miguel Hernández-Lobato, Eric Vanden-Eijnden:
FEAT: Free energy Estimators with Adaptive Transport. CoRR abs/2504.11516 (2025) - [i13]Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato:
Progressive Tempering Sampler with Diffusion. CoRR abs/2506.05231 (2025) - [i12]Jiajun He, José Miguel Hernández-Lobato, Yuanqi Du, Francisco Vargas:
RNE: a plug-and-play framework for diffusion density estimation and inference-time control. CoRR abs/2506.05668 (2025) - [i11]Jiajun He, Paul Jeha, Peter Potaptchik, Leo Zhang, José Miguel Hernández-Lobato, Yuanqi Du, Saifuddin Syed, Francisco Vargas:
CREPE: Controlling Diffusion with Replica Exchange. CoRR abs/2509.23265 (2025) - [i10]Tongda Xu, Wendi Zheng, Jiajun He, José Miguel Hernández-Lobato, Yan Wang, Ya-Qin Zhang, Jie Tang:
Vector Quantization using Gaussian Variational Autoencoder. CoRR abs/2512.06609 (2025) - [i9]Zhangde Song, Jieyu Lu, Yuanqi Du, Botao Yu, Thomas M. Pruyn, Yue Huang, Kehan Guo, Xiuzhe Luo, Yuanhao Qu, Yi Qu, Yinkai Wang, Haorui Wang, Jeff Guo, Jingru Gan, Parshin Shojaee, Di Luo, Andres M. Bran, Gen Li, Qiyuan Zhao, Shao-Xiong Lennon Luo, Yuxuan Zhang, Xiang Zou, Wanru Zhao, Yifan F. Zhang, Wucheng Zhang, Shunan Zheng, Saiyang Zhang, Sartaaj Takrim Khan, Mahyar Rajabi Kochi, Samantha Paradi-Maropakis, Tony Baltoiu, Fengyu Xie, Tianyang Chen, Kexin Huang, Weiliang Luo, Meijing Fang, Xin Yang, Lixue Cheng, Jiajun He, Soha Hassoun, Xiangliang Zhang, Wei Wang, Chandan K. Reddy, Chao Zhang, Zhiling Zheng, Mengdi Wang, Le Cong, Carla P. Gomes, Chang-Yu Hsieh, Aditya Nandy, Philippe Schwaller, Heather J. Kulik, Haojun Jia, Huan Sun, Seyed Mohamad Moosavi, Chenru Duan:
Evaluating Large Language Models in Scientific Discovery. CoRR abs/2512.15567 (2025) - [i8]Maximilian Schebek, Jiajun He, Emil Hoffmann, Yuanqi Du, Frank Noé, Jutta Rogal:
Assessing generative modeling approaches for free energy estimates in condensed matter. CoRR abs/2512.23930 (2025) - 2024
- [c3]Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato:
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations. ICLR 2024 - [c2]Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato:
Accelerating Relative Entropy Coding with Space Partitioning. NeurIPS 2024 - [i7]Zhimin Li, Jianwei Zhang, Qin Lin, Jiangfeng Xiong, Yanxin Long, Xinchi Deng, Yingfang Zhang, Xingchao Liu, Minbin Huang, Zedong Xiao, Dayou Chen, Jiajun He, Jiahao Li, Wenyue Li, Chen Zhang, Rongwei Quan, Jianxiang Lu, Jiabin Huang, Xiaoyan Yuan, Xiaoxiao Zheng, Yixuan Li, Jihong Zhang, Chao Zhang, Meng Chen, Jie Liu, Zheng Fang, Weiyan Wang, Jinbao Xue, Yangyu Tao, Jianchen Zhu, Kai Liu, Sihuan Lin, Yifu Sun, Yun Li, Dongdong Wang, Mingtao Chen, Zhichao Hu, Xiao Xiao, Yan Chen, Yuhong Liu, Wei Liu, Di Wang, Yong Yang, Jie Jiang, Qinglin Lu:
Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding. CoRR abs/2405.08748 (2024) - [i6]Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato:
Accelerating Relative Entropy Coding with Space Partitioning. CoRR abs/2405.12203 (2024) - [i5]Fengzhe Zhang, Jiajun He, Laurence I. Midgley, Javier Antorán, José Miguel Hernández-Lobato:
Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models. CoRR abs/2409.07323 (2024) - [i4]Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato:
Getting Free Bits Back from Rotational Symmetries in LLMs. CoRR abs/2410.01309 (2024) - [i3]Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, José Miguel Hernández-Lobato:
Training Neural Samplers with Reverse Diffusive KL Divergence. CoRR abs/2410.12456 (2024) - 2023
- [c1]Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato:
Compression with Bayesian Implicit Neural Representations. NeurIPS 2023 - [i2]Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato:
Compression with Bayesian Implicit Neural Representations. CoRR abs/2305.19185 (2023) - [i1]Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato:
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations. CoRR abs/2309.17182 (2023)
Coauthor Index
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