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Publication search results
found 80 matches
- 2024
- Yuheng Luo, Jingyun Xu, Zhiduan Cai, Dongming Jiang:
Fusion of VMD-AR with adaptive Gaussian mixture particle filtering for pedestrian trajectory tracking. Digit. Signal Process. 146: 104386 (2024) - Guojun Chen, Kaixuan Xie, Yuheng Tu, Tiecheng Song, Yinfei Xu, Jing Hu, Lun Xin:
NQFL: Nonuniform Quantization for Communication Efficient Federated Learning. IEEE Commun. Lett. 28(2): 332-336 (2024) - Yueheng Zhang, Jing Yuan, Changxiang Yan:
Enhanced Seamless Video Fusion: A Convolutional Pyramid-Based 3D Integration Algorithm. Sensors 24(6): 1852 (2024) - Yuheng Liu, Ye Wang, Yifan Zhang, Shaohui Mei, Jiaqi Zou, Zhuohong Li, Fangxiao Lu, Wei He, Hongyan Zhang, Huilin Zhao, Chuan Chen, Cong Xia, Hao Li, Gemine Vivone, Ronny Hänsch, Gülsen Taskin Kaya, Jing Yao, A. Kai Qin, Bing Zhang, Jocelyn Chanussot, Danfeng Hong:
Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8851-8862 (2024) - Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng:
Inaccurate Label Distribution Learning. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10237-10249 (2024) - Jing Bai, Yuheng Lian, Yiran Wang, Junjie Ren, Zhu Xiao, Huaji Zhou, Licheng Jiao:
An Interpretable Explanation Approach for Signal Modulation Classification. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - Yitong Yao, Jing Zhang, Peng Zhang, Yueheng Sun:
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification. ACM Trans. Inf. Syst. 42(2): 34:1-34:24 (2024) - Yuheng Jiang, Zhehao Shen, Penghao Wang, Zhuo Su, Yu Hong, Yingliang Zhang, Jingyi Yu, Lan Xu:
HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting. CVPR 2024: 19734-19745 - Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Towards Offline Opponent Modeling with In-context Learning. ICLR 2024 - Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan:
Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing. ICML 2024 - Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng:
Exploiting Multi-Label Correlation in Label Distribution Learning. IJCAI 2024: 4326-4334 - Yu Jiang, Jie Liang, Fuchen Ma, Yuanliang Chen, Chijin Zhou, Yuheng Shen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Shanshan Li, Quan Zhang:
When Fuzzing Meets LLMs: Challenges and Opportunities. SIGSOFT FSE Companion 2024: 492-496 - Jing Luo, Heyuan Shi, Yongchao Zhang, Runzhe Wang, Yuheng Shen, Yuao Chen, Xiaohai Shi, Rongkai Liu, Chao Hu, Yu Jiang:
CVECenter: Industry Practice of Automated Vulnerability Management for Linux Distribution Community. SIGSOFT FSE Companion 2024: 329-339 - Rongkai Liu, Heyuan Shi, Yongchao Zhang, Runzhe Wang, Yuheng Shen, Yuao Chen, Jing Luo, Xiaohai Shi, Chao Hu, Yu Jiang:
PatchBert: Continuous Stable Patch Identification for Linux Kernel via Pre-trained Model Fine-tuning. SANER 2024: 349-358 - Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan:
Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. WWW 2024: 434-445 - Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, Jianzhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, Alex X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou:
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism. CoRR abs/2401.02954 (2024) - Zhaoyang Lv, Nicholas Charron, Pierre Moulon, Alexander Gamino, Cheng Peng, Chris Sweeney, Edward Miller, Huixuan Tang, Jeff Meissner, Jing Dong, Kiran Somasundaram, Luis Pesqueira, Mark Schwesinger, Omkar M. Parkhi, Qiao Gu, Renzo De Nardi, Shangyi Cheng, Steve Saarinen, Vijay Baiyya, Yuyang Zou, Richard A. Newcombe, Jakob Julian Engel, Xiaqing Pan, Carl Yuheng Ren:
Aria Everyday Activities Dataset. CoRR abs/2402.13349 (2024) - Ran Chen, Zeke Lian, Yueheng He, Xiao Ling, Fuyu Yang, Xueqi Yao, Xingjian Yi, Jing Zhao:
Layout2Rendering: AI-aided Greenspace design. CoRR abs/2404.16067 (2024) - Yu Jiang, Jie Liang, Fuchen Ma, Yuanliang Chen, Chijin Zhou, Yuheng Shen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, ShanShan Li, Quan Zhang:
When Fuzzing Meets LLMs: Challenges and Opportunities. CoRR abs/2404.16297 (2024) - Sitian Shen, Jing Xu, Yuheng Yuan, Xingyi Yang, Qiuhong Shen, Xinchao Wang:
DragGaussian: Enabling Drag-style Manipulation on 3D Gaussian Representation. CoRR abs/2405.05800 (2024) - Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng:
Inaccurate Label Distribution Learning with Dependency Noise. CoRR abs/2405.16474 (2024) - Haoyuan Jiang, Xuantang Xiong, Ziyue Li, Hangyu Mao, Guanghu Sui, Jingqing Ruan, Yuheng Cheng, Hua Wei, Wolfgang Ketter, Rui Zhao:
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents. CoRR abs/2407.10811 (2024) - Yuheng Jiang, Zhehao Shen, Yu Hong, Chengcheng Guo, Yize Wu, Yingliang Zhang, Jingyi Yu, Lan Xu:
Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos. CoRR abs/2409.08353 (2024) - 2023
- Kaicheng Yu, Qiang Gao, Jingfeng Xu, Liang Liu, Lizi Qi, Yuheng Guan, Yifeng Yao, Fangzheng Chen, Peng Zhang, YongDan Liu, Lihua Lu:
Computational investigation of a 3D-printed skin substitute with orthotropy in mechanical property. Comput. Biol. Medicine 166: 107536 (2023) - Wei Jing Fong, Hong Ming Tan, Rishabh Garg, Ai Ling Teh, Hong Pan, Varsha Gupta, Bernadus Krishna, Zou Hui Chen, Natania Yovela Purwanto, Fabian Yap, Kok Hian Tan, Kok Yen Jerry Chan, Shiao-Yng Chan, Nicole Goh, Nikita Rane, Ethel Siew Ee Tan, Yuheng Jiang, Mei Han, Michael J. Meaney, Dennis Wang, Jussi Keppo, Geoffrey Chern-Yee Tan:
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation. Frontiers Neuroinformatics 17 (2023) - Jing Hu, Yuheng Lin, Zhongqiu Xu, Hongxi He, Zhi Li, Guoning Zhang:
A Test Point Selection Method Based on Fault Response Matrices Framework. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady G. Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Kun Cao, Yi Du, Han Wang, Huai Yu, Shanzhao Wang, Siyu Chen, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Lihua Xie, Luca Carlone, Marco Hutter, Sebastian A. Scherer:
PyPose: A Library for Robot Learning with Physics-based Optimization. CVPR 2023: 22024-22034 - Ran Wang, Jingyu Xiong, Haopeng Ke, Yuheng Jia, Debby Dan Wang:
Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training. ICMLC 2023: 43-49 - Jingyuan Zhang, Wenjun Wang, Tianpeng Li, Minglai Shao, Jiye Liu, Yueheng Sun:
Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning. KSEM (4) 2023: 403-417 - Yuheng Li, Jing Wang, Chih-Wei Chang, Pretsh Patel, Ashesh B. Jani, Hui Mao, Tian Liu, Xiaofeng Yang:
Multi-parametric MRI radiomics analysis with ensemble learning for prostate lesion classification. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
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