Aojun Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
10
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench. | Weikang Shi, Houxing Ren, Junting Pan, Aojun Zhou, Ke Wang, Zimu Lu, Yunqiao Yang, Yuxuan Hu, Linda Wei, Mingjie Zhan, Hongsheng Li |
| 2026 | ACL | MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical Reasoning. | Weikang Shi, Aldrich Yu, Rongyao Fang, Houxing Ren, Ke Wang, Aojun Zhou, Changyao Tian, Xinyu Fu, Yuxuan Hu, Zimu Lu, Linjiang Huang, Si Liu, Rui Liu, Hongsheng Li |
| 2025 | ACL | MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning. | Ke Wang, Junting Pan, Linda Wei, Aojun Zhou, Weikang Shi, Zimu Lu, Han Xiao, Yunqiao Yang, Houxing Ren, Mingjie Zhan, Hongsheng Li |
| 2025 | ACL | ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation. | Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Aojun Zhou, Junting Pan, Hongsheng Li |
| 2025 | ACL | Probability-Consistent Preference Optimization for Enhanced LLM Reasoning. | Yunqiao Yang, Houxing Ren, Zimu Lu, Ke Wang, Weikang Shi, Aojun Zhou, Junting Pan, Mingjie Zhan, Hongsheng Li |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding. | Yuxuan Hu, Jihao Liu, Ke Wang, Jinliang Zheng, Weikang Shi, Manyuan Zhang, Qi Dou, Rui Liu, Aojun Zhou, Hongsheng Li |
| 2025 | EMNLP | Alignment with Fill-In-the-Middle for Enhancing Code Generation. | Houxing Ren, Zimu Lu, Weikang Shi, Haotian Hou, Yunqiao Yang, Ke Wang, Aojun Zhou, Junting Pan, Mingjie Zhan, Hongsheng Li |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2024 | ACL | Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. | Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li |
| 2024 | ACL | MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs. | Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li |
| 2024 | ECCV | 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, Yu Qiao, Peng Gao, Hongsheng Li |
| 2024 | ICASSP | Large Language Models Augmented Rating Prediction in Recommender System. | Sichun Luo, Jiansheng Wang, Aojun Zhou, Li Ma, Linqi Song |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Graph Lottery Ticket Automated. | Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang |
| 2024 | ICLR | 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 |
| 2024 | ICML | SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models. | Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui Zhang, Peng Gao, Hongsheng Li |
| 2023 | DATE | CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks. | Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang |
| 2023 | ICCV | SparseMAE: Sparse Training Meets Masked Autoencoders. | Aojun Zhou, Yang Li, Zipeng Qin, Jianbo Liu, Junting Pan, Renrui Zhang, Rui Zhao, Peng Gao, Hongsheng Li |
| 2023 | ICCV | 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 |
| 2022 | CVPR | Group R-CNN for Weakly Semi-supervised Object Detection with Points. | Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen |
| 2022 | ICLR | Omni-Dimensional Dynamic Convolution. | Chao Li, Aojun Zhou, Anbang Yao |
| 2021 | ICCV | Incorporating Convolution Designs into Visual Transformers. | Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu |
| 2021 | ICCV | Differentiable Dynamic Wirings for Neural Networks. | Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu |
| 2021 | ICLR | 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 |
| 2021 | ICML | 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 |
| 2019 | CVPR | Deeply-Supervised Knowledge Synergy. | Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao |
| 2019 | ICCV | HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. | Duo Li, Aojun Zhou, Anbang Yao |
| 2019 | ICCV | Adversarial Robustness vs. Model Compression, or Both? | Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang |
| 2018 | AAAI | Deep Neural Network Compression With Single and Multiple Level Quantization. | Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong |
| 2018 | CVPR | Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks. | Aojun Zhou, Anbang Yao, Kuan Wang, Yurong Chen |
| 2017 | ICLR | Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights. | Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen |