Chen Jin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
14
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? | Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci |
| 2025 | EMNLP | DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations. | Aryo Pradipta Gema, Chen Jin, Ahmed Abdulaal, Tom Diethe, Philip Alexander Teare, Beatrice Alex, Pasquale Minervini, Amrutha Saseendran |
| 2025 | HPCA | VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. | Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Chen Jin, Jingwen Leng |
| 2025 | ICLR | Balancing Act: Diversity and Consistency in Large Language Model Ensembles. | Ahmed Abdulaal, Chen Jin, Nina Montaa Brown, Aryo Pradipta Gema, Daniel C. Castro, Daniel C. Alexander, Philip Alexander Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran |
| 2025 | ICML | Diffusion Instruction Tuning. | Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Alexander Teare |
| 2025 | ICML | Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation. | Zhihua Liu, Amrutha Saseendran, Lei Tong, Xilin He, Fariba Yousefi, Nikolay Burlutskiy, Dino Oglic, Tom Diethe, Philip Alexander Teare, Huiyu Zhou, Chen Jin |
| 2025 | IJCNN | Kolmogorov-Arnold Network-Enhanced Cross-Modal Alignment for Textual Attribute Graph Reasoning with Large Language Models. | Qihao Huang, Chen Jin, Shuke He, Lisheng Shu, Yikang Long |
| 2025 | MICCAI | Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS. | Seunghoi Kim, Henry F. J. Tregidgo, Matteo Figini, Chen Jin, Sarang Joshi, Daniel C. Alexander |
| 2024 | ECCV | Tackling Structural Hallucination in Image Translation with Local Diffusion. | Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander |
| 2024 | ICML | An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning. | Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare |
| 2024 | TrustCom | Research on distributed machine learning defence strategies under Byzantine attacks. | Chen Jin, Xi Chen, Junyu Pu, Boyu Fan |
| 2022 | CLOUD | KOLE: breaking the scalability barrier for managing far edge nodes in cloud. | Jie Zhang, Chen Jin, Yuqi Huang, Li Yi, Yu Ding, Fei Guo |
| 2022 | ICLR | Learning to Downsample for Segmentation of Ultra-High Resolution Images. | Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander |
| 2022 | MICCAI | Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation. | Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob |
| 2020 | MICCAI | Foveation for Segmentation of Mega-Pixel Histology Images. | Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander |
| 2020 | MICCAI | Learning to Segment When Experts Disagree. | Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander |
| 2019 | CEC | A Study on Knowledge Reuse Strategies in Multitasking Differential Evolution. | Chen Jin, Pei-Wei Tsai, A. K. Qin |
| 2017 | CEC | A GPU-based implementation of brain storm optimization. | Chen Jin, A. K. Qin |
| 2015 | CCGRID | Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective. | Chen Jin, Qiang Fu, Huahua Wang, William Hendrix, Zhengzhang Chen, Ankit Agrawal, Arindam Banerjee, Alok N. Choudhary |
| 2015 | CEC | Local ensemble surrogate assisted crowding differential evolution. | Chen Jin, A. K. Qin, Ke Tang |
| 2013 | KDD | Solving combinatorial optimization problems using relaxed linear programming: a high performance computing perspective. | Chen Jin, Qiang Fu, Huahua Wang, Ankit Agrawal, William Hendrix, Wei-keng Liao, Md. Mostofa Ali Patwary, Arindam Banerjee, Alok N. Choudhary |
| 2011 | HiPC | Supporting computational data model representation with high-performance I/O in parallel netCDF. | Kui Gao, Chen Jin, Alok N. Choudhary, Wei-keng Liao |