Aojun Zhou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 63

Top Topics

Diffusion Model

Image Understanding

Top Venues

Publications

Jingqiu Zhou, Aojun Zhou, Hongsheng Li
NODI: Out-Of-Distribution Detection with Noise from Diffusion. CoRR (2024)
Sichun Luo, Yuxuan Yao, Bowei He, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation. CoRR (2024)
Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs. CoRR (2024)
Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? CoRR (2024)
Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang
Graph Lottery Ticket Automated. ICLR (2024)
Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (2) (2024)
Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo
ThinK: Thinner Key Cache by Query-Driven Pruning. CoRR (2024)
Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Yichi Zhang, Ziyu Guo, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Bin Wei, Shanghang Zhang, Peng Gao, Hongsheng Li
MAVIS: Mathematical Visual Instruction Tuning. CoRR (2024)
Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention. ICLR (2024)
Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs. ACL (1) (2024)
Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui Zhang, Peng Gao, Hongsheng Li
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models. CoRR (2024)
Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. ACL (1) (2024)
Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. CoRR (2024)
Sichun Luo, Jiansheng Wang, Aojun Zhou, Li Ma, Linqi Song
Large Language Models Augmented Rating Prediction in Recommender System. ICASSP (2024)
Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li
Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning. CoRR (2024)
Xudong Lu, Aojun Zhou, Ziyi Lin, Qi Liu, Yuhui Xu, Renrui Zhang, Yafei Wen, Shuai Ren, Peng Gao, Junchi Yan, Hongsheng Li
TerDiT: Ternary Diffusion Models with Transformers. CoRR (2024)
Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification. ICLR (2024)
Rongyao Fang, Peng Gao, Aojun Zhou, Yingjie Cai, Si Liu, Jifeng Dai, Hongsheng Li
FeatAug-DETR: Enriching One-to-Many Matching for DETRs With Feature Augmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning. ICLR (2024)
Chao Li, Aojun Zhou, Anbang Yao
NOAH: Learning Pairwise Object Category Attentions for Image Classification. CoRR (2024)
Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Aojun Zhou, Junting Pan, Hongsheng Li
ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation. CoRR (2024)
Renrui Zhang, Jiaming Han, Aojun Zhou, Xiangfei Hu, Shilin Yan, Pan Lu, Hongsheng Li, Peng Gao, Yu Qiao
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention. CoRR (2023)
Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, Yu Qiao
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model. CoRR (2023)
Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning. CoRR (2023)
Junting Pan, Keqiang Sun, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Hongsheng Li
JourneyDB: A Benchmark for Generative Image Understanding. CoRR (2023)
Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang
CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks. DATE (2023)
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
JourneyDB: A Benchmark for Generative Image Understanding. NeurIPS (2023)
Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. CoRR (2023)
Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. ICCV (2023)
Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification. CoRR (2023)
Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang
Efficient N: M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. CoRR (2023)
Aojun Zhou, Yang Li, Zipeng Qin, Jianbo Liu, Junting Pan, Renrui Zhang, Rui Zhao, Peng Gao, Hongsheng Li
SparseMAE: Sparse Training Meets Masked Autoencoders. ICCV (2023)
Sichun Luo, Bowei He, Haohan Zhao, Yinya Huang, Aojun Zhou, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. CoRR (2023)
Rongyao Fang, Peng Gao, Aojun Zhou, Yingjie Cai, Si Liu, Jifeng Dai, Hongsheng Li
FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation. CoRR (2023)
Chao Fang, Aojun Zhou, Zhongfeng Wang
An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. IEEE Trans. Very Large Scale Integr. Syst. 30 (11) (2022)
Chao Li, Aojun Zhou, Anbang Yao
Omni-Dimensional Dynamic Convolution. ICLR (2022)
Zipeng Qin, Jianbo Liu, Xiaolin Zhang, Maoqing Tian, Aojun Zhou, Shuai Yi, Hongsheng Li
Pyramid Fusion Transformer for Semantic Segmentation. CoRR (2022)
Chao Fang, Aojun Zhou, Zhongfeng Wang
An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. CoRR (2022)
Chao Li, Aojun Zhou, Anbang Yao
Omni-Dimensional Dynamic Convolution. CoRR (2022)
Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen
Group R-CNN for Weakly Semi-supervised Object Detection with Points. CoRR (2022)
Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen
Group R-CNN for Weakly Semi-supervised Object Detection with Points. CVPR (2022)
Wei Sun, Aojun Zhou, Sander Stuijk, Rob G. J. Wijnhoven, Andrew Nelson, Hongsheng Li, Henk Corporaal
DominoSearch: Find layer-wise fine-grained N: M sparse schemes from dense neural networks. NeurIPS (2021)
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
Group Fisher Pruning for Practical Network Compression. CoRR (2021)
Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu
Differentiable Dynamic Wirings for Neural Networks. ICCV (2021)
Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li
Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch. CoRR (2021)
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
Group Fisher Pruning for Practical Network Compression. ICML (2021)
Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu
Incorporating Convolution Designs into Visual Transformers. ICCV (2021)
Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li
Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch. ICLR (2021)
Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu
Incorporating Convolution Designs into Visual Transformers. CoRR (2021)
Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks. CoRR (2020)
Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao
Deeply-Supervised Knowledge Synergy. CVPR (2019)
Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang
Adversarial Robustness vs. Model Compression, or Both? ICCV (2019)
Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao
Deeply-supervised Knowledge Synergy. CoRR (2019)
Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin
Second Rethinking of Network Pruning in the Adversarial Setting. CoRR (2019)
Duo Li, Aojun Zhou, Anbang Yao
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. ICCV (2019)
Duo Li, Aojun Zhou, Anbang Yao
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. CoRR (2019)
Aojun Zhou, Yukun Ma, Yudian Li, Xiaohan Zhang, Ping Luo
Towards Improving Generalization of Deep Networks via Consistent Normalization. CoRR (2019)
Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong
Deep Neural Network Compression With Single and Multiple Level Quantization. AAAI (2018)
Aojun Zhou, Anbang Yao, Kuan Wang, Yurong Chen
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks. CVPR (2018)
Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong
Deep Neural Network Compression with Single and Multiple Level Quantization. CoRR (2018)
Aojun Zhou, Yue Cui, Tianzi Jiang
Multisite Schizophrenia Classification Based on Brainnetome Atlas by Deep Learning. CCIS (2018)
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen
Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights. ICLR (Poster) (2017)
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights. CoRR (2017)