Zhou, Aojun

30 publications

CVPR 2025 Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding Han Xiao, Yina Xie, Guanxin Tan, Yinghao Chen, Rui Hu, Ke Wang, Aojun Zhou, Hao Li, Hao Shao, Xudong Lu, Peng Gao, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

CVPR 2025 BlueLM-V-3b: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices Xudong Lu, Yinghao Chen, Cheng Chen, Hui Tan, Boheng Chen, Yina Xie, Rui Hu, Guanxin Tan, Renshou Wu, Yan Hu, Yi Zeng, Lei Wu, Liuyang Bian, Zhaoxiong Wang, Long Liu, Yanzhou Yang, Han Xiao, Aojun Zhou, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

ICCV 2025 Chimera: Improving Generalist Model with Domain-Specific Experts Tianshuo Peng, Mingsheng Li, Jiakang Yuan, Hongbin Zhou, Renqiu Xia, Renrui Zhang, Lei Bai, Song Mao, Bin Wang, Aojun Zhou, Botian Shi, Tao Chen, Bo Zhang, Xiangyu Yue

ICCV 2025 GenieBlue: Integrating Both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices Xudong Lu, Yinghao Chen, Renshou Wu, Haohao Gao, Xi Chen, Xue Yang, Xiangyu Zhao, Aojun Zhou, Fangyuan Li, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

ICLR 2025 MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Ziyu Guo, Yichi Zhang, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Shanghang Zhang, Peng Gao, Hongsheng Li

NeurIPS 2025 MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning Xinyan Chen, Renrui Zhang, Dongzhi Jiang, Aojun Zhou, Shilin Yan, Weifeng Lin, Hongsheng Li

ICLR 2025 MathCoder2: Better Math Reasoning from Continued Pretraining on Model-Translated Mathematical Code Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li

TMLR 2025 Step-Controlled DPO: Leveraging Stepwise Errors for Enhancing Mathematical Reasoning of Language Models Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Yunqiao Yang, Junting Pan, Mingjie Zhan, Hongsheng Li

ICLR 2025 ThinK: Thinner Key Cache by Query-Driven Pruning Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo

NeurIPS 2025 UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-Based Mobile GUI Agents Han Xiao, Guozhi Wang, Yuxiang Chai, Zimu Lu, Weifeng Lin, Hao He, Lue Fan, Liuyang Bian, Rui Hu, Liang Liu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Aojun Zhou, Hongsheng Li

NeurIPS 2025 WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch Zimu Lu, Yunqiao Yang, Houxing Ren, Haotian Hou, Han Xiao, Ke Wang, Weikang Shi, Aojun Zhou, Mingjie Zhan, Hongsheng Li

ICLR 2024 Graph Lottery Ticket Automated Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang

ICLR 2024 Llama-Adapter: Efficient Fine-Tuning of Large Language Models with Zero-Initialized Attention Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao

ICLR 2024 MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li

ECCV 2024 MathVerse: Does Your Multi-Modal LLM Truly See the Diagrams in Visual Math Problems? Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li

NeurIPS 2024 Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset Ke Wang, Junting Pan, Weikang Shi, Zimu Lu, Houxing Ren, Aojun Zhou, Mingjie Zhan, Hongsheng Li

ICML 2024 SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui Zhang, Peng Gao, Hongsheng Li

ICLR 2024 Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-Based Self-Verification Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li

NeurIPS 2023 JourneyDB: A Benchmark for Generative Image Understanding Keqiang Sun, Junting Pan, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Limin Wang, Hongsheng Li

ICCV 2023 Not All Features Matter: Enhancing Few-Shot CLIP with Adaptive Prior Refinement Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao

ICCV 2023 SparseMAE: Sparse Training Meets Masked Autoencoders Aojun Zhou, Yang Li, Zipeng Qin, Jianbo Liu, Junting Pan, Renrui Zhang, Rui Zhao, Peng Gao, Hongsheng Li

CVPR 2022 Group R-CNN for Weakly Semi-Supervised Object Detection with Points Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen

ICLR 2022 Omni-Dimensional Dynamic Convolution Chao Li, Aojun Zhou, Anbang Yao

ICCV 2021 Differentiable Dynamic Wirings for Neural Networks Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu

NeurIPS 2021 DominoSearch: Find Layer-Wise Fine-Grained N:M Sparse Schemes from Dense Neural Networks Wei Sun, Aojun Zhou, Sander Stuijk, Rob Wijnhoven, Andrew Oakleigh Nelson, Hongsheng Li, Henk Corporaal

ICML 2021 Group Fisher Pruning for Practical Network Compression Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang

ICCV 2021 Incorporating Convolution Designs into Visual Transformers Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu

ICLR 2021 Learning N:M Fine-Grained Structured Sparse Neural Networks from Scratch Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li

AAAI 2018 Deep Neural Network Compression with Single and Multiple Level Quantization Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong

ICLR 2017 Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen