导航
中国科学院自动化研究所

联系我们

官方微信

EN

扫一扫关注
官方微信公众号

发表论文

您当前位置：首页 > 发表论文
全部 2024 2023 2022 2021 2020 2019 2018 2017 2016
2024
  • Peisong Wang, Xiangyu He, Jian Cheng. Toward Accurate Binarized Neural Networks with Sparsity for Mobile Application. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), in press
  • Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng. MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. 
2023
  • Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng. ECBC: Efficient Convolution via Blocked Columnizing. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.34, No.1, pp.433-445, 2023.
  • Peisong Wang, Fanrong Li, Gang Li, Jian Cheng. Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.34, No.8, pp.4167-4180, 2023.
  • Zejian Liu, Gang Li, Jian Cheng. Efficient Accelerator/Network Co-Search with Circular Greedy Reinforcement Learning. IEEE Transactions on Circuits and Systems-II: Express Briefs, Vol.70, No.7, pp.2615-2619, 2023.
  • Xing Lan, Qinghao Hu, Jian Cheng. ATF: An Alternating Training Framework for Weakly Supervised Face Alignment. IEEE Transactions on Multimedia, Vol.25, pp.1798-1809, 2023.
  • Weixiang Xu, Fanrong Li, Yingying Jiang, Yong A, Xiangyu He, Peisong Wang, Jian Cheng. Improving Extreme Low-bit Quantization with Soft Threshold. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol.33, No.4, pp.1549-1543, 2023.
  • Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng. Optimization-based Post-training Quantization with Bit-split and Stitching. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.45, No.2, pp.2119-2135, 2023.
  • Weihan Chen, Peisong Wang, Jian Cheng. Towards Automatic Model Compression via a Unified Two-Stage Framework. Pattern Recognition (PR), Vol.140, 2023.
  • Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng. A2Q: Aggregation-Aware Quantization for Graph Neural Networks. ICLR 2023.
  • Sicong Liu, Xi Sheryl Zhang, Yushuo Li, Yifan Zhang, Jian Cheng. On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning. ICLR 2023.
  • Tianli Zhao, Jiayuan Chen, Cong Leng, Jian Cheng. TinyNeRF: Towards 100x Compression of Voxel Radiance Fields. AAAI 2023.
  • Linhui Sun, Yifan Zhang, Jian Cheng, Hanqing Lu. Asynchronous Event Processing with Local-Shift Graph Convolutional Networks. AAAI 2023.
  • Zejian Liu, Gang Li, Jian Cheng. TBERT: Dynamic BERT Inference with Top-k Based Predictors. DATE 2023.
  • Zhixiang Ye, Qinghao Hu, Tianli Zhao, Wangping Zhou, Jian Cheng.  MCUNeRF: Packing NeRF into an MCU with 1MB Memory. ACM MM 2023.
  • Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng. Towards Efficient and Accurate Winograd Convolution via Full Quantization. NeurIPS 2023. 
  • Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng. Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2023.
2022
  • Gang Li, Zejian Liu, Fanrong Li, Jian Cheng. Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol.41, No.5, pp.1436-1447, 2022.
  • Guanan Wang, Qinghao Hu, Yang Yang, Jian Cheng, Zeng-Guang Hou. Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.33, No.8, pp.4110-4124, 2022.
  • Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng. MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)，Vol.32, No.8, pp.5225-5237, 2022.
  • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. Action Recognition via Pose-based Graph Convolutional Networks with Intermediate Dense Supervision. Pattern Recognition, Vol.121, 108170, 2022.
  • Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng. Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR 2022.
  • Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang. MixFormer: Mixing Features across Windows and Dimensions. CVPR 2022.
  • Jiahao Lu, Xi Sheryl Zhang. Tianli Zhao, Xiangyu He, Jian Cheng. APRIL: Finding the Achilles' Heel on Privacy Leakage for Vision Transformers. CVPR 2022.
  • Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng. DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. AAAI 2022.
  • Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng. Towards Fully Sparse Training: Information Restoration with Spatial Similarity. AAAI 2022.
  • Linhui Sun, Yifan Zhang, Ke Cheng, Jian Cheng, Hanqing Lu. MENet: a Memory-Based Network with Dual-Branch for Efficient Event Stream Processing. ECCV 2022.
  • Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng. PalQuant: Accelerating High-precision Networks on Low-precision Accelerators. ECCV 2022.
  • Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng. Multi-Granularity Pruning for Model Acceleration on Mobile Devices. ECCV 2022.
  • Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng. PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient. NeurIPS 2022.
  • Yanpeng Sun, Qiang Chen, Xiangyu He, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jian Cheng, Zechao Li, Jingdong Wang. Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning. NeurIPS 2022.
  • Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng. GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. NeurIPS 2022.
  • Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang. Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. MICRO 2022.
2021
  • Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng. Unsupervised Network Quantization via Fixed-point Factorization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.32, No.6, pp.2706-2720, 2021.
  • Ke Cheng, Yifan Zhang, Xiangyu He, Jian Cheng, Hanqing Lu. Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN++. IEEE Transactions on Image Processing (TIP), Vol.30, pp. 7333-7348, 2021.
  • Qiang Chen, Anda Cheng, Xiangyu He, Peisong wang, Jian Cheng. SpatialFlow: Bridging All Tasks for Panoptic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)，Vol.31, No.6, pp.2288-2300, 2021. [code]
  • Fanrong Li, Gang Li, Xiangyu He, Jian Cheng. Dynamic Dual Gating Neural Networks. ICCV 2021.
  • Weihan Chen, Peisong Wang, Jian Cheng. Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. ICCV 2021.
  • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition. ICCV 2021.
  • Zejian Liu, Fanrong Li, Gang Li, Jian Cheng. EBERT: Efficient BERT Inference with Dynamic Structured Pruning. Findings of ACL 2021.
  • Zejian Liu, Gang Li, Jian Cheng. Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. DATE 2021 (Best paper candidate)
  • Qiang Chen, Yingming Wang, Tong Yang, Xiangyu Zhang, Jian Cheng, Jian Sun. You Only Look One-level Feature. CVPR 2021. [code]

2020
  • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks. IEEE Transactions on Image Processing (TIP), Vol.29, pp.9532-9545, 2020. (ESI highly cited paper )
  • Fanrong Li, Gang Li, Zitao Mo, Xiangyu He, Jian Cheng. FSA: A Fine-Grained Systolic Accelerator for Sparse CNNS. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol.39, No.11, pp.3589-3600, 2020.
  • Guanan Wang, Yang Yang, Tianzhu Zhang, Jian Cheng, Zengguang Hou, Prayag Tiwari, Hari Mohan Pandey. Cross-modality Paired-images Generation and Augmentation for RGB-infrared Person Re-identification. Neural Networks, Vol.128, pp.294-304, 2020. (The 2020 best paper award)
  • Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian Cheng. Bayesian Automatic Model Compression. IEEE Journal of Selected Topics in Signal Processing, Vol.14, No.4, pp.727-736, 2020.
  • Qiang Chen, Peisong Wang, Anda Cheng, Wanguo Wang, Yifan Zhang, Jian Cheng. Robust One-stage Object Detection with Location-aware Classifiers. Pattern Recognition (PR), Vol.105, September,107334, 2020.
  • Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R.Hancock. A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs. IEEE Transactions on Cybernetics (ToC), Vol.50, Issue 3, pp. 1264-1277, 2020.
  • Chunjie Zhang, Jian Cheng, Qi Tian. Multi-View Image Classification with Visual, Semantic and View Consistency. IEEE Transactions on Image Processing (TIP), Vol.29, pp.617-627, 2020.
  • Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael Lyu, Jian Cheng. Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS 2020.
  • Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng. Towards Accurate Post-training Network Quantization via Bit-Split and Stitching. ICML 2020.[code]
  • Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng. ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. ECCV 2020.
  • Guanan Wang, Shaogang Gong, Jian Cheng, Zengguang Hou. Fast Person Re-Identification. ECCV 2020.
  • Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, Hanqing Lu. Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition. ECCV 2020. [code]
  • Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng. Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE 2020.
  • Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng. M-NAS: Meta Neural Architecture Search. AAAI 2020.
  • Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng. Sparsity-Inducing Binarized Neural Networks. AAAI 2020.
  • Guanan Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zengguan Hou. Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. AAAI 2020.
  • Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao. Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning. CVPR 2020.
  • Ke Cheng, Yifan Zhang, Xiangyu He, Weihan Chen, Jian Cheng, Hanqing Lu. Skeleton-based Action Recognition with Shift Graph Convolutional Network. CVPR 2020. [code]
  • Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng. Soft Threshold Ternary Networks. IJCAI 2020.
  • Xing Lan, Qinghao Hu, Fangzhou Xiong, Cong Leng, Jian Cheng. ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets. ACM MM 2020.
2019
  • Chunjie Zhang, Jian Cheng, Qi Tian. Semantically Modeling of Object and Context for Categorization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.30, No.4, pp.1013-1024, 2019.
  • Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng. Reading Selectively via Binary Input Gate Recurrent Unit. IJCAI 2019.
  • Zhe Li, Jian Cheng. Training Binary-Valued Gates LSTM. ICDAR 2019.
  • Guanan Wang, Yang Yang, Jian Cheng, Jinqiao Wang, Zengguang Hou. Color-Sensitive Persong Re-Identification. IJCAI 2019.
  • Guanan Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou. RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. ICCV 2019.
  • Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng. A System-Level Solution for Low-Power Object Detection. ICCV 2019 Workshop on Low-Power Computer Vision.
  • Xiangyu He, Peisong Wang, Jian Cheng. K-Nearest Neighbors Hashing. CVPR 2019. [code]
  • Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng. ODE-inspired Network Design for Single Image Super-Resolution. CVPR 2019. [code]
  • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. Skeleton-Based Action Recognition with Directed Graph Neural Networks. CVPR 2019.
  • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition. CVPR 2019.[code]
2018
  • Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu. Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. Frontiers of Information Technology & Electronic Engineering (FITEE), Vol.19, No.1, pp.64-77, 2018. [arXiv]
  • Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, Jian Cheng. DeepSearch: A Fast Image Search Framework for Mobile Devices. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), Vol.14(1), 2018.
  • Yifan Zhang, Congqi Cao, Jian Cheng, Hanqing Lu. EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition. IEEE Transactions on Multimedia (TMM), Vol.20, No.5, pp.1038-1050, 2018. [Project link]
  • Chunjie Zhang, Jian Cheng, Qi Tian. Multiview Label Sharing for Visual Representations and Classification. IEEE Transactions on Multimedia (TMM), Vol.20, No.4, pp.903-913, 2018.
  • Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu. Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.29, No.10, pp.4730-4743, 2018.
  • Tianli Zhao, Xiangyu He, Jian Cheng. BitStream: Efficient Computing Architecture for Real-Time Low-Power Inference of Binary Neural Networks on CPUs. ACM MM 2018.
  • Xiangyu He, Jian Cheng. Learning Compression from Limited Unlabeled Data. ECCV 2018. [code]
  • Guanan Wang, Qinghao Hu, Jian Cheng, Zengguang Hou. Semi-Supervised Generative Adversarial Hashing for Image Retrieval. ECCV 2018.
  • Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng. Training Binary Weight Networks via Semi-Binary Decomposition. ECCV 2018.
  • Qinghao Hu, Peisong Wang, Jian Cheng. From Hashing to CNNs: Training Binary Weight Networks via Hashing. AAAI 2018.
  • Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng. Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. DATE 2018.
  • Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng. Two-Step Quantization for Low-bit Neural Networks. CVPR 2018.[code]

2017
  • Chunjie Zhang, Jian Cheng, Qi Tian. Incremental Codebook Adaptation for Visual Representation and Categorization. IEEE Transactions on Cybernetics (ToC), in press.
  • Chunjie Zhang, Jian Cheng, Qi Tian. Structured Weak Semantic Space Construction For Visual Categorization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), in press.
  • Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng. Fast K-Means for Large Scale Clustering. ACM CIKM 2017.
  • Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing Lu. Pesudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. ACM MM 2017.
  • Congqi Cao, Yifan Zhang, Yi Wu, Hanqing Lu, Jian Cheng. Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks with Spatiotemporal Transformer Modules. ICCV 2017. [Project link]
  • Peisong Wang, Jian Cheng. Fixed-point Factorized Networks. CVPR 2017. [code]

2016
  • Zhenfeng Zhu, Jian Cheng, Yao Zhao, Jieping Ye. LSSLP-Local Structure Sensitive Label Propagation. Information Sciences, Vol.332, pp.19-32, 2016.
  • Peisong Wang, Qiang Song, Hua Han, Jian Cheng. Sequentially Supervised Long Short-Term Memory for Gesture Recognition. Cognitive Computation 2016
  • Peisong Wang, Jian Cheng. Accelerating Convolutional Neural Networks for Mobile Applications. ACM MM 2016.
  • Zeyu Qiu, Deqiang Kong, Zhenfeng Zhu, Hanqing Lu, Jian Cheng. Heterogenous Graph Mining for Measuring the Impact of Research Institutions. KDD 2016 KDD Cup workshop. (Ranked the 1st place on phase 2)
  • Chenghua Li, Qi Kang, Guojing Ge, Qiang Song, Hanqing Lu, Jian Cheng. DeepBE: Learning Deep Binary Encoding for Multi-Label Classification. CVPR 2016 workshop. (Ranked the 2nd places on track 2 and track 3 of ChaLearn 2016)
  • Chenghua Li, Qiang Song, Yuhang Wang, Hang Song, Qi Kang, Jian Cheng, Hanqing Lu. Learning to Recognition from Bing Clickture Data. ICME 2016 workshop. (Successfully defended the 1st place on MSR Image Recognition Challenge)
  • Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng. Quantized Convolutional Neural Networks for Mobile Devices. CVPR 2016. [code]
  • Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng. Shoot to Know What: An Application of Deep Networks on Mobile Devices. AAAI 2016 (Demo track).
高效智能计算与学习 地址：北京市海淀区中关村东路95号 邮箱：clab.ia.ac.cn 京ICP备05002829号-1
0.084125s