Ma, Jun

23 publications

CVPR 2025 A Simple Data Augmentation for Feature Distribution Skewed Federated Learning Yunlu Yan, Huazhu Fu, Yuexiang Li, Jinheng Xie, Jun Ma, Guang Yang, Lei Zhu

NeurIPS 2025 Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-Based Bias Detector Haoyan Yang, Runxue Bao, Cao Xiao, Jun Ma, Parminder Bhatia, Shangqian Gao, Taha Kass-Hout

CVPR 2025 DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution Xingyuan Li, Zirui Wang, Yang Zou, Zhixin Chen, Jun Ma, Zhiying Jiang, Long Ma, Jinyuan Liu

ICCV 2025 GS-LIVM: Real-Time Photo-Realistic LiDAR-Inertial-Visual Mapping with Gaussian Splatting Yusen Xie, Zhenmin Huang, Jin Wu, Jun Ma

ICML 2025 MedRAX: Medical Reasoning Agent for Chest X-Ray Adibvafa Fallahpour, Jun Ma, Alif Munim, Hongwei Lyu, Bo Wang

ICLR 2025 MorphoDiff: Cellular Morphology Painting with Diffusion Models Zeinab Navidi, Jun Ma, Esteban Miglietta, Le Liu, Anne E Carpenter, Beth A Cimini, Benjamin Haibe-Kains, Bo Wang

AAAI 2025 OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion Shangqi Deng, Jun Ma, Liang-Jian Deng, Ping Wei

NeurIPS 2025 PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly Liang Ma, Jiajun Wen, Min Lin, Rongtao Xu, Xiwen Liang, Bingqian Lin, Jun Ma, Yongxin Wang, Ziming Wei, Haokun Lin, Mingfei Han, Meng Cao, Bokui Chen, Ivan Laptev, Xiaodan Liang

AAAI 2025 SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji, Xi Wang, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Weimin Zhang

AAAI 2025 Towards Verifiable Text Generation with Generative Agent Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu, Jun Ma, Jie Yu, See-Kiong Ng

AAAI 2024 Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren

AAAI 2024 Improving Factual Error Correction by Learning to Inject Factual Errors Xingwei He, Qianru Zhang, A-Long Jin, Jun Ma, Yuan Yuan, Siu Ming Yiu

ICLRW 2024 Oh! We Freeze: Improving Quantized Knowledge Distillation via Signal Propagation Analysis for Large Language Models Nilesh Prasad Pandey, Kartikeya Bhardwaj, Sweta Priyadarshi, Kyunggeun Lee, Jun Ma, Harris Teague

AAAI 2024 PMET: Precise Model Editing in a Transformer Xiaopeng Li, Shasha Li, Shezheng Song, Jing Yang, Jun Ma, Jie Yu

ECCV 2024 SCPNet: Unsupervised Cross-Modal Homography Estimation via Intra-Modal Self-Supervised Learning Runmin Zhang, Jun Ma, Lun Luo, Beinan Yu, Shu-Jie Chen, Junwei Li, Hui-Liang Shen, Si-Yuan Cao

IJCAI 2024 Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models Huifang Du, Xuejing Feng, Jun Ma, Meng Wang, Shiyu Tao, Yijie Zhong, Yuan-Fang Li, Haofen Wang

ECML-PKDD 2023 Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis

CVPR 2023 Why Is the Winner the Best? Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldřich Kodym, Michal Kozubek, Jianning Li, Hongwei Li, Jun Ma, Carlos Martín-Isla, Bjoern Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patiño, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin van Wijnen, Martin Wagner, Donglai Wei, Amine Yamlahi, Moi Hoon Yap, Chun Yuan, Maximilian Zenk, Aneeq Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, Jihoon Cho, Chanyeol Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, Clifton D. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García Faura, Maria Grammatikopoulou, SeulGi Hong, Mostafa Jahanifar, Ikbeom Jang, Abdolrahim Kadkhodamohammadi, Inha Kang, Florian Kofler, Satoshi Kondo, Hugo Kuijf, Mingxing Li, Minh Luu, Tomaž Martinčič, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, Subeen Pang, Jinah Park, Sung-Hong Park, Szymon Plotka, Elodie Puybareau, Nasir Rajpoot, Kanghyun Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Štepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Helene Urien, João L. Vilaça, Kareem A. Wahid, Haojie Wang, Jiacheng Wang, Liansheng Wang, Xiyue Wang, Benedikt Wiestler, Marek Wodzinski, Fangfang Xia, Juanying Xie, Zhiwei Xiong, Sen Yang, Yanwu Yang, Zixuan Zhao, Klaus Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

ICML 2021 EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture Chenfeng Miao, Liang Shuang, Zhengchen Liu, Chen Minchuan, Jun Ma, Shaojun Wang, Jing Xiao

IJCAI 2020 Auxiliary Template-Enhanced Generative Compatibility Modeling Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma

AAAI 2020 RefNet: A Reference-Aware Network for Background Based Conversation Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke

AAAI 2020 Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke

AAAI 2019 RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke