Boxun Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
17
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference. | Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Alex Qiu, Jiayi Zhou, Kaile Wang, Boxun Li, Sirui Han, Yike Guo, Yaodong Yang |
| 2025 | ICML | Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving. | Yuxuan Zhou, Xien Liu, Chenwei Yan, Chen Ning, Xiao Zhang, Boxun Li, Xiangling Fu, Shijin Wang, Guoping Hu, Yu Wang, Ji Wu |
| 2025 | ISPEC | Distributed Key Generation for SM2 and Its Application to Threshold Encryption. | Boxun Li, Zhiyuan An, Yantao Zhong, Jing Pan |
| 2022 | AAAI | Improving Human-Object Interaction Detection via Phrase Learning and Label Composition. | Zhimin Li, Cheng Zou, Yu Zhao, Boxun Li, Sheng Zhong |
| 2022 | CIKM | Interpretable Emotion Analysis Based on Knowledge Graph and OCC Model. | Shuo Wang, Yifei Zhang, Bochen Lin, Boxun Li |
| 2022 | CVPR | Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle Retrieval. | Chuyang Zhao, Haobo Chen, Wenyuan Zhang, Junru Chen, Sipeng Zhang, Yadong Li, Boxun Li |
| 2022 | ECCV | Motion Sensitive Contrastive Learning for Self-supervised Video Representation. | Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang |
| 2022 | ECCV | Tracking Objects as Pixel-Wise Distributions. | Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia |
| 2021 | CVPR | End-to-End Human Object Interaction Detection With HOI Transformer. | Cheng Zou, Bohan Wang, Yue Hu, Junqi Liu, Qian Wu, Yu Zhao, Boxun Li, Chenguang Zhang, Chi Zhang, Yichen Wei, Jian Sun |
| 2018 | DATE | Real-time object detection towards high power efficiency. | Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang |
| 2017 | ASPDAC | Computation-oriented fault-tolerance schemes for RRAM computing systems. | Wenqin Huangfu, Lixue Xia, Ming Cheng, Xiling Yin, Tianqi Tang, Boxun Li, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang |
| 2017 | ASPDAC | Binary convolutional neural network on RRAM. | Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang |
| 2016 | CASES | RRAM based learning acceleration. | Yu Wang, Lixue Xia, Ming Cheng, Tianqi Tang, Boxun Li, Huazhong Yang |
| 2016 | DAC | Switched by input: power efficient structure for RRAM-based convolutional neural network. | Lixue Xia, Tianqi Tang, Wenqin Huangfu, Ming Cheng, Xiling Yin, Boxun Li, Yu Wang, Huazhong Yang |
| 2016 | DATE | MNSIM: Simulation platform for memristor-based neuromorphic computing system. | 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 |
| 2016 | FPGA | Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. | Jiantao Qiu, Jie Wang, Song Yao, Kaiyuan Guo, Boxun Li, Erjin Zhou, Jincheng Yu, Tianqi Tang, Ningyi Xu, Sen Song, Yu Wang, Huazhong Yang |
| 2016 | ISCAS | Heterogeneous systems with reconfigurable neuromorphic computing accelerators. | Sicheng Li, Xiaoxiao Liu, Mengjie Mao, Hai (Helen) Li, Yiran Chen, Boxun Li, Yu Wang |
| 2016 | ISCAS | Low power Convolutional Neural Networks on a chip. | Yu Wang, Lixue Xia, Tianqi Tang, Boxun Li, Song Yao, Ming Cheng, Huazhong Yang |
| 2015 | ASPDAC | Technological exploration of RRAM crossbar array for matrix-vector multiplication. | Peng Gu, Boxun Li, Tianqi Tang, Shimeng Yu, Yu Cao, Yu Wang, Huazhong Yang |
| 2015 | DAC | RENO: a high-efficient reconfigurable neuromorphic computing accelerator design. | Xiaoxiao Liu, Mengjie Mao, Beiye Liu, Hai Li, Yiran Chen, Boxun Li, Yu Wang, Hao Jiang, Mark Barnell, Qing Wu, Jianhua Joshua Yang |
| 2015 | DAC | Merging the interface: power, area and accuracy co-optimization for RRAM crossbar-based mixed-signal computing system. | Boxun Li, Lixue Xia, Peng Gu, Yu Wang, Huazhong Yang |
| 2015 | DATE | Spiking neural network with RRAM: can we use it for real-world application? | Tianqi Tang, Lixue Xia, Boxun Li, Rong Luo, Yiran Chen, Yu Wang, Huazhong Yang |
| 2015 | FCCM | FPGA Acceleration of Recurrent Neural Network Based Language Model. | Sicheng Li, Chunpeng Wu, Hai Li, Boxun Li, Yu Wang, Qinru Qiu |
| 2015 | ICCAD | Rebooting Computing and Low-Power Image Recognition Challenge. | 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 |
| 2014 | ASPDAC | Training itself: Mixed-signal training acceleration for memristor-based neural network. | Boxun Li, Yuzhi Wang, Yu Wang, Yiran Chen, Huazhong Yang |
| 2014 | DATE | Energy efficient neural networks for big data analytics. | Yu Wang, Boxun Li, Rong Luo, Yiran Chen, Ningyi Xu, Huazhong Yang |
| 2014 | DATE | ICE: Inline calibration for memristor crossbar-based computing engine. | Boxun Li, Yu Wang, Yiran Chen, Hai (Helen) Li, Huazhong Yang |
| 2014 | IJCNN | Large scale recurrent neural network on GPU. | Boxun Li, Erjin Zhou, Bo Huang, Jiayi Duan, Yu Wang, Ningyi Xu, Jiaxing Zhang, Huazhong Yang |
| 2013 | ISLPED | Memristor-based approximated computation. | Boxun Li, Yi Shan, Miao Hu, Yu Wang, Yiran Chen, Huazhong Yang |