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Aojun Zhou
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2020 – today
- 2024
- [j4]Rongyao Fang
, Peng Gao
FeatAug-DETR: Enriching One-to-Many Matching for DETRs With Feature Augmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6402-6415 (2024) - [j3]Chao Fang
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 506-519 (2024) - [j2]Zipeng Qin
Pyramid Fusion Transformer for Semantic Segmentation. IEEE Trans. Multim. 26: 9630-9643 (2024) - [c27]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: 2732-2747 - [c26]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: 6159-6172 - [c25]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:
MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? ECCV (8) 2024: 169-186 - [c24]Sichun Luo
Large Language Models Augmented Rating Prediction in Recommender System. ICASSP 2024: 7960-7964 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui Zhang, Peng Gao, Hongsheng Li:
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models. ICML 2024 - [i36]Jingqiu Zhou, Aojun Zhou, Hongsheng Li:
NODI: Out-Of-Distribution Detection with Noise from Diffusion. CoRR abs/2401.08689 (2024) - [i35]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 abs/2401.13870 (2024) - [i34]Chao Li, Aojun Zhou, Anbang Yao:
NOAH: Learning Pairwise Object Category Attentions for Image Classification. CoRR abs/2402.02377 (2024) - [i33]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 abs/2402.14800 (2024) - [i32]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 abs/2402.16352 (2024) - [i31]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 abs/2403.14624 (2024) - [i30]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 abs/2405.14854 (2024) - [i29]Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui Zhang, Peng Gao, Hongsheng Li:
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models. CoRR abs/2405.16057 (2024) - [i28]Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Aojun Zhou, Junting Pan, Hongsheng Li:
ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation. CoRR abs/2405.17057 (2024) - [i27]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 abs/2407.00782 (2024) - [i26]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 abs/2407.08739 (2024) - [i25]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 abs/2407.21018 (2024) - [i24]Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li:
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code. CoRR abs/2410.08196 (2024) - 2023
- [c18]Chao Fang
CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks. DATE 2023: 1-2 - [c17]Xiangyang Zhu, Renrui Zhang, Bowei He
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. ICCV 2023: 2605-2615 - [c16]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: 16130-16140 - [c15]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 - [i23]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 abs/2303.01503 (2023) - [i22]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 abs/2303.16199 (2023) - [i21]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 abs/2304.01195 (2023) - [i20]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 abs/2304.15010 (2023) - [i19]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 abs/2307.00716 (2023) - [i18]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 abs/2308.07921 (2023) - [i17]Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang:
Efficient N: M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. CoRR abs/2309.13015 (2023) - [i16]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 abs/2310.03731 (2023) - [i15]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 abs/2312.16018 (2023) - 2022
- [j1]Chao Fang
An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. IEEE Trans. Very Large Scale Integr. Syst. 30(11): 1573-1586 (2022) - [c14]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: 9407-9416 - [c13]Chao Li, Aojun Zhou, Anbang Yao:
Omni-Dimensional Dynamic Convolution. ICLR 2022 - [i14]Zipeng Qin, Jianbo Liu, Xiaolin Zhang, Maoqing Tian, Aojun Zhou, Shuai Yi, Hongsheng Li:
Pyramid Fusion Transformer for Semantic Segmentation. CoRR abs/2201.04019 (2022) - [i13]Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen:
Group R-CNN for Weakly Semi-supervised Object Detection with Points. CoRR abs/2205.05920 (2022) - [i12]Chao Fang, Aojun Zhou, Zhongfeng Wang:
An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. CoRR abs/2208.06118 (2022) - [i11]Chao Li, Aojun Zhou, Anbang Yao:
Omni-Dimensional Dynamic Convolution. CoRR abs/2209.07947 (2022) - 2021
- [c12]Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu:
Differentiable Dynamic Wirings for Neural Networks. ICCV 2021: 317-326 - [c11]Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu:
Incorporating Convolution Designs into Visual Transformers. ICCV 2021: 559-568 - [c10]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 - [c9]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: 7021-7032 - [c8]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: 20721-20732 - [i10]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 abs/2102.04010 (2021) - [i9]Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu:
Incorporating Convolution Designs into Visual Transformers. CoRR abs/2103.11816 (2021) - [i8]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 abs/2108.00708 (2021) - 2020
- [i7]Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan:
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks. CoRR abs/2010.01097 (2020)
2010 – 2019
- 2019
- [c7]Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao:
Deeply-Supervised Knowledge Synergy. CVPR 2019: 6997-7006 - [c6]Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma
Adversarial Robustness vs. Model Compression, or Both? ICCV 2019: 111-120 - [c5]Duo Li, Aojun Zhou, Anbang Yao:
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. ICCV 2019: 3315-3324 - [i6]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 abs/1903.12561 (2019) - [i5]Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao:
Deeply-supervised Knowledge Synergy. CoRR abs/1906.00675 (2019) - [i4]Duo Li, Aojun Zhou, Anbang Yao:
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. CoRR abs/1908.03888 (2019) - [i3]Aojun Zhou, Yukun Ma, Yudian Li, Xiaohan Zhang, Ping Luo:
Towards Improving Generalization of Deep Networks via Consistent Normalization. CoRR abs/1909.00182 (2019) - 2018
- [c4]Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong:
Deep Neural Network Compression With Single and Multiple Level Quantization. AAAI 2018: 4335-4342 - [c3]Aojun Zhou, Yue Cui, Tianzi Jiang:
Multisite Schizophrenia Classification Based on Brainnetome Atlas by Deep Learning. CCIS 2018: 451-455 - [c2]Aojun Zhou, Anbang Yao, Kuan Wang, Yurong Chen
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks. CVPR 2018: 9426-9435 - [i2]Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong:
Deep Neural Network Compression with Single and Multiple Level Quantization. CoRR abs/1803.03289 (2018) - 2017
- [c1]Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen:
Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights. ICLR (Poster) 2017 - [i1]Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen:
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights. CoRR abs/1702.03044 (2017)
Coauthor Index
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last updated on 2024-12-10 21:47 CET by the dblp team
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