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2020 – today
- 2024
[i15]Tao Yuan, Xuefei Ning, Dong Zhou, Zhijie Yang, Shiyao Li, Minghui Zhuang, Zheyue Tan, Zhuyu Yao, Dahua Lin, Boxun Li, Guohao Dai, Shengen Yan, Yu Wang:
LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K. CoRR abs/2402.05136 (2024)- [i14]Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Qiu, Boxun Li, Yaodong Yang:
PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models. CoRR abs/2406.15513 (2024) - 2023
- [i13]Qian Wu, Ruixuan Xiao, Kaixin Xu, Jingcheng Ni, Boxun Li, Ziyao Xu:
GaitFormer: Revisiting Intrinsic Periodicity for Gait Recognition. CoRR abs/2307.13259 (2023) - 2022
- [c29]Zhimin Li, Cheng Zou, Yu Zhao, Boxun Li, Sheng Zhong:
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition. AAAI 2022: 1509-1517 - [c28]Shuo Wang, Yifei Zhang, Bochen Lin, Boxun Li:
Interpretable Emotion Analysis Based on Knowledge Graph and OCC Model. CIKM 2022: 2038-2045 - [c27]Chuyang Zhao, Haobo Chen, Wenyuan Zhang, Junru Chen, Sipeng Zhang, Yadong Li, Boxun Li:
Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle Retrieval. CVPR Workshops 2022: 3225-3232 - [c26]Zelin Zhao
, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia:
Tracking Objects as Pixel-Wise Distributions. ECCV (22) 2022: 76-94 - [c25]Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang:
Motion Sensitive Contrastive Learning for Self-supervised Video Representation. ECCV (35) 2022: 457-474 - [c24]Jiawei Fan, Yu Zhao, Xie Yu, Lihua Ma, Junqi Liu, Fangqiu Yi, Boxun Li:
DTR: An Information Bottleneck Based Regularization Framework for Video Action Recognition. ACM Multimedia 2022: 3877-3885 - [i12]Chuyang Zhao, Haobo Chen, Wenyuan Zhang, Junru Chen, Sipeng Zhang, Yadong Li, Boxun Li:
Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle Retrieval. CoRR abs/2206.10879 (2022) - [i11]Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia:
Tracking Objects as Pixel-wise Distributions. CoRR abs/2207.05518 (2022) - [i10]Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang:
Motion Sensitive Contrastive Learning for Self-supervised Video Representation. CoRR abs/2208.06105 (2022) - [i9]Haobo Chen, Chuyang Zhao, Kai Tu, Junru Chen, Yadong Li, Boxun Li:
Style Variable and Irrelevant Learning for Generalizable Person Re-identification. CoRR abs/2209.05235 (2022) - 2021
- [j11]Boxun Li:
Dynamic Evaluation and System Coordination Degree of the Integration of Artificial Intelligence and Real Economy. Complex. 2021: 5539793:1-5539793:9 (2021) - [c23]Cheng Zou, Bohan Wang, Yue Hu, Junqi Liu, Qian Wu, Yu Zhao, Boxun Li, Chenguang Zhang, Chi Zhang, Yichen Wei, Jian Sun:
End-to-End Human Object Interaction Detection With HOI Transformer. CVPR 2021: 11825-11834 - [i8]Cheng Zou, Bohan Wang, Yue Hu, Junqi Liu, Qian Wu, Yu Zhao, Boxun Li, Chenguang Zhang, Chi Zhang, Yichen Wei, Jian Sun:
End-to-End Human Object Interaction Detection with HOI Transformer. CoRR abs/2103.04503 (2021) - [i7]Zhuyu Yao, Jiangbo Ai, Boxun Li, Chi Zhang:
Efficient DETR: Improving End-to-End Object Detector with Dense Prior. CoRR abs/2104.01318 (2021) - [i6]Shihui Chen, Yueqing Zhuang, Boxun Li:
Learning Context-Aware Embedding for Person Search. CoRR abs/2111.14316 (2021) - [i5]Zhimin Li, Cheng Zou, Yu Zhao, Boxun Li, Sheng Zhong:
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition. CoRR abs/2112.07383 (2021) - 2020
- [j10]Yi Cai, Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang:
Low Bit-Width Convolutional Neural Network on RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(7): 1414-1427 (2020)
2010 – 2019
- 2019
- [j9]Guo-bin Wan, Fu-hao Deng, Zijian Jiang, Sheng-zhao Lin, Cheng-lian Zhao, Boxun Li, Gong Chen, Shen-hong Chen, Xiao-hong Cai, Hao-bo Wang, Li-Ping Li, Ting Yan, Jia-ming Zhang:
Attention shifting during child - robot interaction: a preliminary clinical study for children with autism spectrum disorder. Frontiers Inf. Technol. Electron. Eng. 20(3): 374-387 (2019) - [i4]Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jianfeng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou:
WIDER Face and Pedestrian Challenge 2018: Methods and Results. CoRR abs/1902.06854 (2019) - [i3]Kevin Zhang, Feng Xiong, Peize Sun, Li Hu, Boxun Li, Gang Yu:
Double Anchor R-CNN for Human Detection in a Crowd. CoRR abs/1909.09998 (2019) - 2018
- [j8]Lixue Xia, Boxun Li, Tianqi Tang, Peng Gu, Pai-Yu Chen, Shimeng Yu, Yu Cao, Yu Wang, Yuan Xie, Huazhong Yang:
MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(5): 1009-1022 (2018) - [j7]Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Jun Yao, Yu Wang:
Towards Real-Time Object Detection on Embedded Systems. IEEE Trans. Emerg. Top. Comput. 6(3): 417-431 (2018) - [c22]Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang:
Real-time object detection towards high power efficiency. DATE 2018: 704-708 - [i2]Jianfeng Wang, Ye Yuan, Boxun Li, Gang Yu, Jian Sun:
SFace: An Efficient Network for Face Detection in Large Scale Variations. CoRR abs/1804.06559 (2018) - [i1]Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, Jian Sun:
CrowdHuman: A Benchmark for Detecting Human in a Crowd. CoRR abs/1805.00123 (2018) - 2017
- [c21]Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang:
Binary convolutional neural network on RRAM. ASP-DAC 2017: 782-787 - [c20]Wenqin Huangfu, Lixue Xia, Ming Cheng, Xiling Yin, Tianqi Tang, Boxun Li, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang:
Computation-oriented fault-tolerance schemes for RRAM computing systems. ASP-DAC 2017: 794-799 - 2016
- [j6]Boxun Li, Peng Gu, Yu Wang, Huazhong Yang:
Exploring the Precision Limitation for RRAM-Based Analog Approximate Computing. IEEE Des. Test 33(1): 51-58 (2016) - [j5]Lixue Xia, Peng Gu, Boxun Li, Tianqi Tang, Xiling Yin, Wenqin Huangfu, Shimeng Yu, Yu Cao, Yu Wang, Huazhong Yang:
Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication. J. Comput. Sci. Technol. 31(1): 3-19 (2016) - [j4]Xiaoming Chen, Lin Wang, Boxun Li, Yu Wang, Xin Li, Yongpan Liu, Huazhong Yang:
Modeling Random Telegraph Noise as a Randomness Source and its Application in True Random Number Generation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(9): 1435-1448 (2016) - [j3]Xiaoxiao Liu, Mengjie Mao, Beiye Liu, Boxun Li, Yu Wang, Hao Jiang, Mark Barnell, Qing Wu, Jianhua Joshua Yang, Hai Li, Yiran Chen:
Harmonica: A Framework of Heterogeneous Computing Systems With Memristor-Based Neuromorphic Computing Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(5): 617-628 (2016) - [j2]Xiaoming Chen, Boxun Li, Yu Wang, Yongpan Liu, Huazhong Yang:
A Unified Methodology for Designing Hardware Random Number Generators Based on Any Probability Distribution. IEEE Trans. Circuits Syst. II Express Briefs 63-II(8): 783-787 (2016) - [c19]Yu Wang, Lixue Xia, Ming Cheng, Tianqi Tang, Boxun Li, Huazhong Yang:
RRAM based learning acceleration. CASES 2016: 9:1-9:2 - [c18]Lixue Xia, Tianqi Tang, Wenqin Huangfu, Ming Cheng, Xiling Yin, Boxun Li, Yu Wang, Huazhong Yang:
Switched by input: power efficient structure for RRAM-based convolutional neural network. DAC 2016: 125:1-125:6 - [c17]Lixue Xia, Boxun Li, Tianqi Tang, Peng Gu, Xiling Yin, Wenqin Huangfu, Pai-Yu Chen, Shimeng Yu, Yu Cao, Yu Wang, Yuan Xie, Huazhong Yang:
MNSIM: Simulation platform for memristor-based neuromorphic computing system. DATE 2016: 469-474 - [c16]Jiantao Qiu, Jie Wang, Song Yao, Kaiyuan Guo, Boxun Li, Erjin Zhou, Jincheng Yu, Tianqi Tang, Ningyi Xu, Sen Song, Yu Wang, Huazhong Yang:
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. FPGA 2016: 26-35 - [c15]Sicheng Li, Xiaoxiao Liu, Mengjie Mao, Hai (Helen) Li, Yiran Chen, Boxun Li, Yu Wang:
Heterogeneous systems with reconfigurable neuromorphic computing accelerators. ISCAS 2016: 125-128 - [c14]Yu Wang, Lixue Xia, Tianqi Tang, Boxun Li, Song Yao, Ming Cheng, Huazhong Yang:
Low power Convolutional Neural Networks on a chip. ISCAS 2016: 129-132 - 2015
- [j1]Boxun Li, Peng Gu, Yi Shan, Yu Wang, Yiran Chen, Huazhong Yang:
RRAM-Based Analog Approximate Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(12): 1905-1917 (2015) - [c13]Peng Gu, Boxun Li, Tianqi Tang, Shimeng Yu, Yu Cao, Yu Wang, Huazhong Yang:
Technological exploration of RRAM crossbar array for matrix-vector multiplication. ASP-DAC 2015: 106-111 - [c12]Boxun Li, Lixue Xia, Peng Gu, Yu Wang, Huazhong Yang:
Merging the interface: power, area and accuracy co-optimization for RRAM crossbar-based mixed-signal computing system. DAC 2015: 13:1-13:6 - [c11]Xiaoxiao Liu, Mengjie Mao, Beiye Liu, Hai Li, Yiran Chen, Boxun Li, Yu Wang, Hao Jiang, Mark Barnell, Qing Wu, Jianhua Joshua Yang:
RENO: a high-efficient reconfigurable neuromorphic computing accelerator design. DAC 2015: 66:1-66:6 - [c10]Tianqi Tang, Lixue Xia, Boxun Li, Rong Luo, Yiran Chen, Yu Wang, Huazhong Yang:
Spiking neural network with RRAM: can we use it for real-world application? DATE 2015: 860-865 - [c9]Sicheng Li, Chunpeng Wu, Hai Li, Boxun Li, Yu Wang, Qinru Qiu:
FPGA Acceleration of Recurrent Neural Network Based Language Model. FCCM 2015: 111-118 - [c8]Yu Wang, Tianqi Tang, Lixue Xia, Boxun Li, Peng Gu, Huazhong Yang, Hai Li, Yuan Xie:
Energy Efficient RRAM Spiking Neural Network for Real Time Classification. ACM Great Lakes Symposium on VLSI 2015: 189-194 - [c7]Yung-Hsiang Lu, Alan M. Kadin, Alexander C. Berg, Thomas M. Conte, Erik P. DeBenedictis, Rachit Garg, Ganesh Gingade, Bichlien Hoang, Yongzhen Huang, Boxun Li, Jingyu Liu, Wei Liu, Huizi Mao, Junran Peng, Tianqi Tang, Elie K. Track, Jingqiu Wang, Tao Wang, Yu Wang, Jun Yao:
Rebooting Computing and Low-Power Image Recognition Challenge. ICCAD 2015: 927-932 - 2014
- [c6]Boxun Li, Yuzhi Wang, Yu Wang, Yiran Chen, Huazhong Yang:
Training itself: Mixed-signal training acceleration for memristor-based neural network. ASP-DAC 2014: 361-366 - [c5]Yu Wang, Boxun Li, Rong Luo, Yiran Chen, Ningyi Xu, Huazhong Yang:
Energy efficient neural networks for big data analytics. DATE 2014: 1-2 - [c4]Boxun Li, Yu Wang, Yiran Chen, Hai (Helen) Li, Huazhong Yang:
ICE: Inline calibration for memristor crossbar-based computing engine. DATE 2014: 1-4 - [c3]Boxun Li, Erjin Zhou, Bo Huang, Jiayi Duan, Yu Wang, Ningyi Xu, Jiaxing Zhang, Huazhong Yang:
Large scale recurrent neural network on GPU. IJCNN 2014: 4062-4069 - [c2]Tianqi Tang, Rong Luo, Boxun Li, Hai Li, Yu Wang, Huazhong Yang:
Energy efficient spiking neural network design with RRAM devices. ISIC 2014: 268-271 - 2013
- [c1]Boxun Li, Yi Shan, Miao Hu, Yu Wang, Yiran Chen, Huazhong Yang:
Memristor-based approximated computation. ISLPED 2013: 242-247
Coauthor Index
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