Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights. - Aojun Zhou; Anbang Yao; Yiwen Guo; Lin Xu; Yurong Chen 001 (ICLR (Poster), 2017)

Deep Neural Network Compression With Single and Multiple Level Quantization. - Yuhui Xu; Yongzhuang Wang; Aojun Zhou; Weiyao Lin; Hongkai Xiong (AAAI, 2018)

Multisite Schizophrenia Classification Based on Brainnetome Atlas by Deep Learning. - Aojun Zhou; Yue Cui 005; Tianzi Jiang (CCIS, 2018)

Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks. - Aojun Zhou; Anbang Yao; Kuan Wang; Yurong Chen 001 (CVPR, 2018)

Deeply-Supervised Knowledge Synergy. - Dawei Sun; Anbang Yao; Aojun Zhou; Hao Zhao 002 (CVPR, 2019)

HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. - Duo Li; Aojun Zhou; Anbang Yao (ICCV, 2019)

Adversarial Robustness vs. Model Compression, or Both? - Shaokai Ye; Xue Lin 001; Kaidi Xu; Sijia Liu 001; Hao Cheng 015; Jan-Henrik Lambrechts; Huan Zhang 001; Aojun Zhou; Kaisheng Ma; Yanzhi Wang (ICCV, 2019)

Second Rethinking of Network Pruning in the Adversarial Setting. - Shaokai Ye; Kaidi Xu; Sijia Liu 001; Hao Cheng 015; Jan-Henrik Lambrechts; Huan Zhang 001; Aojun Zhou; Kaisheng Ma; Yanzhi Wang; Xue Lin 001 (CoRR, 2019)

Towards Improving Generalization of Deep Networks via Consistent Normalization. - Aojun Zhou; Yukun Ma; Yudian Li; Xiaohan Zhang; Ping Luo 002 (CoRR, 2019)

Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks. - Kun Yuan; Quanquan Li; Dapeng Chen; Aojun Zhou; Junjie Yan (CoRR, 2020)

Incorporating Convolution Designs into Visual Transformers. - Kun Yuan; Shaopeng Guo; Ziwei Liu 002; Aojun Zhou; Fengwei Yu; Wei Wu (ICCV, 2021)

Differentiable Dynamic Wirings for Neural Networks. - Kun Yuan; Quanquan Li; Shaopeng Guo; Dapeng Chen; Aojun Zhou; Fengwei Yu; Ziwei Liu 002 (ICCV, 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 001 (ICLR, 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 001 (ICML, 2021)

DominoSearch: Find layer-wise fine-grained N: M sparse schemes from dense neural networks. - Wei Sun; Aojun Zhou; Sander Stuijk; Rob G. J. Wijnhoven; Andrew Nelson 001; Hongsheng Li 001; Henk Corporaal (NeurIPS, 2021)

Group R-CNN for Weakly Semi-supervised Object Detection with Points. - Shilong Zhang; Zhuoran Yu; Liyang Liu; Xinjiang Wang; Aojun Zhou; Kai Chen 026 (CVPR, 2022)

Omni-Dimensional Dynamic Convolution. - Chao Li; Aojun Zhou; Anbang Yao (ICLR, 2022)

An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. - Chao Fang; Aojun Zhou; Zhongfeng Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks. - Chao Fang; Wei Sun; Aojun Zhou; Zhongfeng Wang 001 (DATE, 2023)

SparseMAE: Sparse Training Meets Masked Autoencoders. - Aojun Zhou; Yang Li 116; Zipeng Qin; Jianbo Liu; Junting Pan; Renrui Zhang; Rui Zhao 001; Peng Gao 007; Hongsheng Li 001 (ICCV, 2023)

Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. - Xiangyang Zhu; Renrui Zhang; Bowei He; Aojun Zhou; Dong Wang 004; Bin Zhao 001; Peng Gao 007 (ICCV, 2023)

JourneyDB: A Benchmark for Generative Image Understanding. - Keqiang Sun; Junting Pan; Yuying Ge; Hao Li 069; Haodong Duan; Xiaoshi Wu; Renrui Zhang; Aojun Zhou; Zipeng Qin; Yi Wang 074; Jifeng Dai; Yu Qiao 001; et al. (NeurIPS, 2023)

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention. - Renrui Zhang; Jiaming Han; Aojun Zhou; Xiangfei Hu; Shilin Yan; Pan Lu; Hongsheng Li 001; Peng Gao 007; Yu Qiao 001 (CoRR, 2023)

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model. - Peng Gao 007; Jiaming Han; Renrui Zhang; Ziyi Lin; Shijie Geng; Aojun Zhou; Wei Zhang 056; Pan Lu; Conghui He; Xiangyu Yue 001; Hongsheng Li 001; Yu Qiao 001 (CoRR, 2023)

Efficient N: M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. - Chao Fang; Wei Sun; Aojun Zhou; Zhongfeng Wang 001 (CoRR, 2023)

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. - Sichun Luo; Bowei He; Haohan Zhao; Yinya Huang; Aojun Zhou; Zongpeng Li; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (CoRR, 2023)

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 004; Bo Zhang 069; Junchi Yan; Hongsheng Li 001 (ACL (1), 2024)

MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs. - Zimu Lu; Aojun Zhou; Houxing Ren; Ke Wang 036; Weikang Shi; Junting Pan; Mingjie Zhan; Hongsheng Li 001 (ACL (1), 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; Yu Qiao 001; Peng Gao 007; Hongsheng Li 001 (ECCV (8), 2024)

Large Language Models Augmented Rating Prediction in Recommender System. - Sichun Luo; Jiansheng Wang; Aojun Zhou; Li Ma; Linqi Song (ICASSP, 2024)

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning. - Ke Wang 036; Houxing Ren; Aojun Zhou; Zimu Lu; Sichun Luo; Weikang Shi; Renrui Zhang; Linqi Song; Mingjie Zhan; Hongsheng Li 001 (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 001; Hongsheng Li 001; Peng Gao 007 (ICLR, 2024)

Graph Lottery Ticket Automated. - Guibin Zhang; Kun Wang 056; Wei Huang 034; Yanwei Yue; Yang Wang 015; Roger Zimmermann; Aojun Zhou; Dawei Cheng; Jin Zeng; Yuxuan Liang (ICLR, 2024)

Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification. - Aojun Zhou; Ke Wang 036; Zimu Lu; Weikang Shi; Sichun Luo; Zipeng Qin; Shaoqing Lu; Anya Jia; Linqi Song; Mingjie Zhan; Hongsheng Li 001 (ICLR, 2024)

SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models. - Xudong Lu; Aojun Zhou; Yuhui Xu; Renrui Zhang; Peng Gao 007; Hongsheng Li 001 (ICML, 2024)

Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset. - Ke Wang 036; Junting Pan; Weikang Shi; Zimu Lu; Houxing Ren; Aojun Zhou; Mingjie Zhan; Hongsheng Li 001 (NeurIPS, 2024)

NODI: Out-Of-Distribution Detection with Noise from Diffusion. - Jingqiu Zhou; Aojun Zhou; Hongsheng Li 001 (CoRR, 2024)

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation. - Sichun Luo; Yuxuan Yao; Bowei He; Yinya Huang; Aojun Zhou; Xinyi Zhang; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (CoRR, 2024)

NOAH: Learning Pairwise Object Category Attentions for Image Classification. - Chao Li; Aojun Zhou; Anbang Yao (CoRR, 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 007; Hongsheng Li 001 (CoRR, 2024)

TerDiT: Ternary Diffusion Models with Transformers. - Xudong Lu; Aojun Zhou; Ziyi Lin; Qi Liu; Yuhui Xu; Renrui Zhang; Yafei Wen; Shuai Ren; Peng Gao 007; Junchi Yan; Hongsheng Li 001 (CoRR, 2024)

Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning. - Zimu Lu; Aojun Zhou; Ke Wang 036; Houxing Ren; Weikang Shi; Junting Pan; Mingjie Zhan; Hongsheng Li 001 (CoRR, 2024)

MAVIS: Mathematical Visual Instruction Tuning. - Renrui Zhang; Xinyu Wei; Dongzhi Jiang; Yichi Zhang; Ziyu Guo; Chengzhuo Tong; Jiaming Liu 003; Aojun Zhou; Bin Wei; Shanghang Zhang; Peng Gao 007; Hongsheng Li 001 (CoRR, 2024)

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 (CoRR, 2024)

Chimera: Improving Generalist Model with Domain-Specific Experts. - Tianshuo Peng; Mingsheng Li; Hongbin Zhou; Renqiu Xia; Renrui Zhang; Lei Bai 001; Song Mao; Bin Wang 065; Conghui He; Aojun Zhou; Botian Shi; Tao Chen 003; et al. (CoRR, 2024)

Pyramid Fusion Transformer for Semantic Segmentation. - Zipeng Qin; Jianbo Liu; Xiaolin Zhang; Maoqing Tian; Aojun Zhou; Shuai Yi; Hongsheng Li 001 (IEEE Trans. Multim., 2024)

Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. - Chao Fang; Wei Sun; Aojun Zhou; Zhongfeng Wang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

FeatAug-DETR: Enriching One-to-Many Matching for DETRs With Feature Augmentation. - Rongyao Fang; Peng Gao 007; Aojun Zhou; Yingjie Cai; Si Liu 001; Jifeng Dai; Hongsheng Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning. - Ke Wang 036; Junting Pan; Linda Wei; Aojun Zhou; Weikang Shi; Zimu Lu; Han Xiao 010; Yunqiao Yang; Houxing Ren; Mingjie Zhan; Hongsheng Li 001 (ACL (Findings), 2025)

ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation. - Houxing Ren; Mingjie Zhan; Zhongyuan Wu; Aojun Zhou; Junting Pan; Hongsheng Li 001 (ACL (1), 2025)

Probability-Consistent Preference Optimization for Enhanced LLM Reasoning. - Yunqiao Yang; Houxing Ren; Zimu Lu; Ke Wang 036; Weikang Shi; Aojun Zhou; Junting Pan; Mingjie Zhan; Hongsheng Li 001 (ACL (Findings), 2025)

Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding. - Han Xiao 010; Yina Xie; Guanxin Tan; Yinghao Chen; Rui Hu; Ke Wang 036; Aojun Zhou; Hao Li 069; Hao Shao; Xudong Lu; Peng Gao 007; Yafei Wen; et al. (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; et al. (CVPR, 2025)

MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code. - Zimu Lu; Aojun Zhou; Ke Wang 036; Houxing Ren; Weikang Shi; Junting Pan; Mingjie Zhan; Hongsheng Li 001 (ICLR, 2025)

ThinK: Thinner Key Cache by Query-Driven Pruning. - Yuhui Xu; Zhanming Jie; Hanze Dong; Lei Wang 185; Xudong Lu; Aojun Zhou; Amrita Saha; Caiming Xiong; Doyen Sahoo (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 003; Aojun Zhou; Shanghang Zhang; Peng Gao 007; Hongsheng Li 001 (ICLR, 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 005; Xiangyu Zhao; Aojun Zhou; Fangyuan Li; Yafei Wen; Xiaoxin Chen 001; Shuai Ren; et al. (CoRR, 2025)

WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch. - Zimu Lu; Yunqiao Yang; Houxing Ren; Haotian Hou; Han Xiao 010; Ke Wang 036; Weikang Shi; Aojun Zhou; Mingjie Zhan; Hongsheng Li 001 (CoRR, 2025)

UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents. - Han Xiao 010; Guozhi Wang; Yuxiang Chai; Zimu Lu; Weifeng Lin; Hao He; Lue Fan; Liuyang Bian; Rui Hu; Liang Liu; Shuai Ren; Yafei Wen; et al. (CoRR, 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 001 (CoRR, 2025)

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. - Sichun Luo; Bowei He; Haohan Zhao; Wei Shao 009; Yanlin Qi; Yinya Huang; Aojun Zhou; Yuxuan Yao; Zongpeng Li; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (ACM Trans. Inf. Syst., 2025)