Aojun Zhou

96 papers A* 29A 1Misc 1Journal 57Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench.
AAAI
Weikang Shi, Houxing Ren, Junting Pan, Aojun Zhou, Ke Wang, Zimu Lu, Yunqiao Yang, Yuxuan Hu, Linda Wei, Mingjie Zhan, Hongsheng Li
2026 J jnl
From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench.
CoRR
Weikang Shi, Houxing Ren, Junting Pan, Aojun Zhou, Ke Wang, Zimu Lu, Yunqiao Yang, Yuxuan Hu, Linda Wei, Mingjie Zhan, Hongsheng Li
2026 J jnl
Integrating Large Language Models Into Recommendation via Mutual Augmentation and Adaptive Aggregation.
IEEE J. Sel. Top. Signal Process.
Sichun Luo, Yuxuan Yao, Bowei He, Wei Shao, Jian Xu, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Hanxu Hou, Mingjie Zhan, Linqi Song
2026 J jnl
Reflect to Inform: Boosting Multimodal Reasoning via Information-Gain-Driven Verification.
CoRR
Shuai Lv, Chang Liu, Feng Tang, Yujie Yuan, Aojun Zhou, Kui Zhang, Xi Yang, Yangqiu Song
2025 A* conf
Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding.
CVPR
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 J jnl
Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding.
CoRR
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 A* conf
Alignment with Fill-In-the-Middle for Enhancing Code Generation.
EMNLP
Houxing Ren, Zimu Lu, Weikang Shi, Haotian Hou, Yunqiao Yang, Ke Wang, Aojun Zhou, Junting Pan, Mingjie Zhan, Hongsheng Li
2025 J jnl
Alignment with Fill-In-the-Middle for Enhancing Code Generation.
CoRR
Houxing Ren, Zimu Lu, Weikang Shi, Haotian Hou, Yunqiao Yang, Ke Wang, Aojun Zhou, Junting Pan, Mingjie Zhan, Hongsheng Li
2025 A* conf
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices.
CVPR
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 J jnl
GenieBlue: Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices.
CoRR
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 A* conf
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding.
EMNLP
Yuxuan Hu, Jihao Liu, Ke Wang, Jinliang Zheng, Weikang Shi, Manyuan Zhang, Qi Dou, Rui Liu, Aojun Zhou, Hongsheng Li
2025 J jnl
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding.
CoRR
Yuxuan Hu, Jihao Liu, Ke Wang, Jinliang Zhen, Weikang Shi, Manyuan Zhang, Qi Dou, Rui Liu, Aojun Zhou, Hongsheng Li
2025 A* conf
MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine.
ICLR
Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Ziyu Guo, Yichi Zhang, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Shanghang Zhang, Peng Gao, Hongsheng Li
2025 J jnl
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning.
CoRR
Xinyan Chen, Renrui Zhang, Dongzhi Jiang, Aojun Zhou, Shilin Yan, Weifeng Lin, Hongsheng Li
2025 J jnl
MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical Reasoning.
CoRR
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 — conf
MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning.
ACL (Findings)
Ke Wang, Junting Pan, Linda Wei, Aojun Zhou, Weikang Shi, Zimu Lu, Han Xiao, Yunqiao Yang, Houxing Ren, Mingjie Zhan, Hongsheng Li
2025 J jnl
MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning.
CoRR
Ke Wang, Junting Pan, Linda Wei, Aojun Zhou, Weikang Shi, Zimu Lu, Han Xiao, Yunqiao Yang, Houxing Ren, Mingjie Zhan, Hongsheng Li
2025 A* conf
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code.
ICLR
Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li
2025 — conf
Probability-Consistent Preference Optimization for Enhanced LLM Reasoning.
ACL (Findings)
Yunqiao Yang, Houxing Ren, Zimu Lu, Ke Wang, Weikang Shi, Aojun Zhou, Junting Pan, Mingjie Zhan, Hongsheng Li
2025 J jnl
Probability-Consistent Preference Optimization for Enhanced LLM Reasoning.
CoRR
Yunqiao Yang, Houxing Ren, Zimu Lu, Ke Wang, Weikang Shi, Aojun Zhou, Junting Pan, Mingjie Zhan, Hongsheng Li
2025 J jnl
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation.
ACM Trans. Inf. Syst.
Sichun Luo, Bowei He, Haohan Zhao, Wei Shao, Yanlin Qi, Yinya Huang, Aojun Zhou, Yuxuan Yao, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
2025 — conf
ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation.
ACL (1)
Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Aojun Zhou, Junting Pan, Hongsheng Li
2025 J jnl
Step-Controlled DPO: Leveraging Stepwise Errors for Enhancing Mathematical Reasoning of Language Models.
Trans. Mach. Learn. Res.
Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Yunqiao Yang, Junting Pan, Mingjie Zhan, Hongsheng Li
2025 A* conf
ThinK: Thinner Key Cache by Query-Driven Pruning.
ICLR
Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo
2025 J jnl
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents.
CoRR
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
2025 J jnl
WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch.
CoRR
Zimu Lu, Yunqiao Yang, Houxing Ren, Haotian Hou, Han Xiao, Ke Wang, Weikang Shi, Aojun Zhou, Mingjie Zhan, Hongsheng Li
2024 J jnl
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices.
CoRR
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
2024 J jnl
Chimera: Improving Generalist Model with Domain-Specific Experts.
CoRR
Tianshuo Peng, Mingsheng Li, Hongbin Zhou, Renqiu Xia, Renrui Zhang, Lei Bai, Song Mao, Bin Wang, Conghui He, Aojun Zhou, Botian Shi, Tao Chen, Bo Zhang, Xiangyu Yue
2024 J jnl
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang
2024 J jnl
FeatAug-DETR: Enriching One-to-Many Matching for DETRs With Feature Augmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Rongyao Fang, Peng Gao, Aojun Zhou, Yingjie Cai, Si Liu, Jifeng Dai, Hongsheng Li
2024 A* conf
Graph Lottery Ticket Automated.
ICLR
Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang
2024 J jnl
Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation.
CoRR
Sichun Luo, Yuxuan Yao, Bowei He, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
2024 A* conf
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention.
ICLR
Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao
2024 Misc conf
Large Language Models Augmented Rating Prediction in Recommender System.
ICASSP
Sichun Luo, Jiansheng Wang, Aojun Zhou, Li Ma, Linqi Song
2024 — conf
MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
ECCV (8)
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 J jnl
MAVIS: Mathematical Visual Instruction Tuning.
CoRR
Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Yichi Zhang, Ziyu Guo, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Bin Wei, Shanghang Zhang, Peng Gao, Hongsheng Li
2024 J jnl
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code.
CoRR
Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li
2024 A* conf
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.
ICLR
Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li
2024 — conf
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs.
ACL (1)
Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li
2024 J jnl
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs.
CoRR
Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li
2024 J jnl
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
CoRR
Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li
2024 A* conf
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset.
NeurIPS
Ke Wang, Junting Pan, Weikang Shi, Zimu Lu, Houxing Ren, Aojun Zhou, Mingjie Zhan, Hongsheng Li
2024 J jnl
NOAH: Learning Pairwise Object Category Attentions for Image Classification.
CoRR
Chao Li, Aojun Zhou, Anbang Yao
2024 J jnl
NODI: Out-Of-Distribution Detection with Noise from Diffusion.
CoRR
Jingqiu Zhou, Aojun Zhou, Hongsheng Li
2024 — conf
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models.
ACL (1)
Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
2024 J jnl
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models.
CoRR
Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
2024 J jnl
Pyramid Fusion Transformer for Semantic Segmentation.
IEEE Trans. Multim.
Zipeng Qin, Jianbo Liu, Xiaolin Zhang, Maoqing Tian, Aojun Zhou, Shuai Yi, Hongsheng Li
2024 J jnl
ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation.
CoRR
Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Aojun Zhou, Junting Pan, Hongsheng Li
2024 A* conf
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models.
ICML
Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui Zhang, Peng Gao, Hongsheng Li
2024 J jnl
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models.
CoRR
Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui Zhang, Peng Gao, Hongsheng Li
2024 A* conf
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification.
ICLR
Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li
2024 J jnl
Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning.
CoRR
Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li
2024 J jnl
TerDiT: Ternary Diffusion Models with Transformers.
CoRR
Xudong Lu, Aojun Zhou, Ziyi Lin, Qi Liu, Yuhui Xu, Renrui Zhang, Yafei Wen, Shuai Ren, Peng Gao, Junchi Yan, Hongsheng Li
2024 J jnl
ThinK: Thinner Key Cache by Query-Driven Pruning.
CoRR
Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo
2023 A conf
CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks.
DATE
Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang
2023 J jnl
Efficient N: M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design.
CoRR
Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang
2023 J jnl
FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation.
CoRR
Rongyao Fang, Peng Gao, Aojun Zhou, Yingjie Cai, Si Liu, Jifeng Dai, Hongsheng Li
2023 A* conf
JourneyDB: A Benchmark for Generative Image Understanding.
NeurIPS
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
2023 J jnl
JourneyDB: A Benchmark for Generative Image Understanding.
CoRR
Junting Pan, Keqiang Sun, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Limin Wang, Hongsheng Li
2023 J jnl
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.
CoRR
Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, Yu Qiao
2023 J jnl
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.
CoRR
Renrui Zhang, Jiaming Han, Aojun Zhou, Xiangfei Hu, Shilin Yan, Pan Lu, Hongsheng Li, Peng Gao, Yu Qiao
2023 J jnl
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.
CoRR
Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li
2023 A* conf
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement.
ICCV
Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao
2023 J jnl
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement.
CoRR
Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao
2023 J jnl
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation.
CoRR
Sichun Luo, Bowei He, Haohan Zhao, Yinya Huang, Aojun Zhou, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
2023 J jnl
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification.
CoRR
Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li
2023 A* conf
SparseMAE: Sparse Training Meets Masked Autoencoders.
ICCV
Aojun Zhou, Yang Li, Zipeng Qin, Jianbo Liu, Junting Pan, Renrui Zhang, Rui Zhao, Peng Gao, Hongsheng Li
2022 J jnl
An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers.
CoRR
Chao Fang, Aojun Zhou, Zhongfeng Wang
2022 J jnl
An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers.
IEEE Trans. Very Large Scale Integr. Syst.
Chao Fang, Aojun Zhou, Zhongfeng Wang
2022 A* conf
Group R-CNN for Weakly Semi-supervised Object Detection with Points.
CVPR
Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen
2022 J jnl
Group R-CNN for Weakly Semi-supervised Object Detection with Points.
CoRR
Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen
2022 A* conf
Omni-Dimensional Dynamic Convolution.
ICLR
Chao Li, Aojun Zhou, Anbang Yao
2022 J jnl
Omni-Dimensional Dynamic Convolution.
CoRR
Chao Li, Aojun Zhou, Anbang Yao
2022 J jnl
Pyramid Fusion Transformer for Semantic Segmentation.
CoRR
Zipeng Qin, Jianbo Liu, Xiaolin Zhang, Maoqing Tian, Aojun Zhou, Shuai Yi, Hongsheng Li
2021 A* conf
Differentiable Dynamic Wirings for Neural Networks.
ICCV
Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu
2021 A* conf
DominoSearch: Find layer-wise fine-grained N: M sparse schemes from dense neural networks.
NeurIPS
Wei Sun, Aojun Zhou, Sander Stuijk, Rob G. J. Wijnhoven, Andrew Nelson, Hongsheng Li, Henk Corporaal
2021 A* conf
Group Fisher Pruning for Practical Network Compression.
ICML
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
2021 J jnl
Group Fisher Pruning for Practical Network Compression.
CoRR
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
2021 A* conf
Incorporating Convolution Designs into Visual Transformers.
ICCV
Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu
2021 J jnl
Incorporating Convolution Designs into Visual Transformers.
CoRR
Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu
2021 A* conf
Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch.
ICLR
Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li
2021 J jnl
Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch.
CoRR
Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li
2020 J jnl
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks.
CoRR
Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan
2019 A* conf
Adversarial Robustness vs. Model Compression, or Both?
ICCV
Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang
2019 A* conf
Deeply-Supervised Knowledge Synergy.
CVPR
Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao
2019 J jnl
Deeply-supervised Knowledge Synergy.
CoRR
Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao
2019 A* conf
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions.
ICCV
Duo Li, Aojun Zhou, Anbang Yao
2019 J jnl
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions.
CoRR
Duo Li, Aojun Zhou, Anbang Yao
2019 J jnl
Second Rethinking of Network Pruning in the Adversarial Setting.
CoRR
Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin
2019 J jnl
Towards Improving Generalization of Deep Networks via Consistent Normalization.
CoRR
Aojun Zhou, Yukun Ma, Yudian Li, Xiaohan Zhang, Ping Luo
2018 A* conf
Deep Neural Network Compression With Single and Multiple Level Quantization.
AAAI
Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong
2018 J jnl
Deep Neural Network Compression with Single and Multiple Level Quantization.
CoRR
Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong
2018 A* conf
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks.
CVPR
Aojun Zhou, Anbang Yao, Kuan Wang, Yurong Chen
2018 — conf
Multisite Schizophrenia Classification Based on Brainnetome Atlas by Deep Learning.
CCIS
Aojun Zhou, Yue Cui, Tianzi Jiang
2017 J jnl
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights.
CoRR
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen
2017 — conf
Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights.
ICLR (Poster)
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen