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Publication search results
found 239 matches
- 2024
- Jianjun Lei, Dewang Tan, Xiaohan Ma, Ying Wang:
Reinforcement learning based multi-parameter joint optimization in dense multi-hop wireless networks. Ad Hoc Networks 154: 103357 (2024) - Grace Zhang, Xiaohan Kuang, Yuhao Zhang, Yunchao Liu, Zhaoqian Su, Tom Zhang, Yinghao Wu:
Machine-learning-based structural analysis of interactions between antibodies and antigens. Biosyst. 243: 105264 (2024) - Ya-Li Zhi, Lanyu Xiong, Xiaohan Fang, Ying Wang, Changbo He:
A new H∞ control method of singular time-delay systems based on a variable memory state feedback. Eur. J. Control 77: 100981 (2024) - Fangrui Hu, Fubin Chang, Lianci Tao, Xiaohan Sun, Lamei Liu, Yingchun Zhao, Zhongjie Han, Chunhua Li:
Prediction of Protein Allosteric Sites with Transfer Entropy and Spatial Neighbor-Based Evolutionary Information Learned by an Ensemble Model. J. Chem. Inf. Model. 64(15): 6197-6204 (2024) - Hanmin Yin, Qiang Liu, Xiaohan Liao, Huping Ye, Yue Li, Xiaofei Ma:
Refined Analysis of Vegetation Phenology Changes and Driving Forces in High Latitude Altitude Regions of the Northern Hemisphere: Insights from High Temporal Resolution MODIS Products. Remote. Sens. 16(10): 1744 (2024) - Zhe Chen, Haiyan Zhang, Xinghua Li, Yinbin Miao, Xiaohan Zhang, Man Zhang, Siqi Ma, Robert H. Deng:
FDFL: Fair and Discrepancy-Aware Incentive Mechanism for Federated Learning. IEEE Trans. Inf. Forensics Secur. 19: 8140-8154 (2024) - Shengjie Ji, Dan Ma, Lunxin Pan, Wenan Wang, Xiaohang Peng, Joan Toluwani Amos, Honorine Niyigena Ingabire, Min Li, Ying Wang, Dezhong Yao, Peng Ren:
Automated Prediction of Infant Cognitive Development Risk by Video: A Pilot Study. IEEE J. Biomed. Health Informatics 28(2): 690-701 (2024) - Yong Xiao, Xiaohan Zhang, Yingyu Li, Guangming Shi, Marwan Krunz, Diep N. Nguyen, Dinh Thai Hoang:
Time-Sensitive Learning for Heterogeneous Federated Edge Intelligence. IEEE Trans. Mob. Comput. 23(2): 1382-1400 (2024) - Qingzhi Liu, Yuchen Huang, Chenglu Jin, Xiaohan Zhou, Ying Mao, Cagatay Catal, Long Cheng:
Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 153:1-153:18 (2024) - Chao Chen, Seungjun Baek, Rui Yin, Shengtian Yang, Xiaohan Yu, Chuanhuang Li:
Practical and Efficient Coded Transmission for Full-Duplex Relay Networks Without CSI. IEEE/ACM Trans. Netw. 32(3): 2721-2735 (2024) - Ke Cheng, Sheng Zhang, Meizhao Liu, Yingcheng Gu, Liu Wei, Huanyu Cheng, Kai Liu, Yu Song, Xiaohang Shi, Andong Zhu, Lei Tang:
GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds. IEEE Trans. Parallel Distributed Syst. 35(4): 646-662 (2024) - Yang Shi, Bingchang Chen, Ying Chen, Zhuochen Jin, Ke Xu, Xiaohan Jiao, Tian Gao, Nan Cao:
Supporting Guided Exploratory Visual Analysis on Time Series Data with Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. 30(1): 1172-1182 (2024) - Xiaohan Ding, Yiyuan Zhang, Yixiao Ge, Sijie Zhao, Lin Song, Xiangyu Yue, Ying Shan:
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition. CVPR 2024: 5513-5524 - Hanchao Liu, Xiaohang Zhan, Shaoli Huang, Tai-Jiang Mu, Ying Shan:
Programmable Motion Generation for Open-Set Motion Control Tasks. CVPR 2024: 1399-1408 - Xian Liu, Xiaohang Zhan, Jiaxiang Tang, Ying Shan, Gang Zeng, Dahua Lin, Xihui Liu, Ziwei Liu:
HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting. CVPR 2024: 6646-6657 - Lin Song, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Ying-Cong Chen, Ying Shan:
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs. CVPR 2024: 13763-13773 - Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue:
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. CVPR 2024: 6108-6117 - Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang:
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. ICLR 2024 - Jiaxu Zhang, Shaoli Huang, Zhigang Tu, Xin Chen, Xiaohang Zhan, Gang Yu, Ying Shan:
TapMo: Shape-aware Motion Generation of Skeleton-free Characters. ICLR 2024 - Yundi Zhang, Xin Wang, Ziyi Zhang, Xueying Wang, Xiaohan Ma, Yingying Wu, Han-Wu-Shuang Baao, Xiyang Zhang:
Using Large Language Models to Understand Leadership Perception and Expectation. ICME Workshops 2024: 1-7 - Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang:
ATG: Benchmarking Automated Theorem Generation for Generative Language Models. NAACL-HLT (Findings) 2024: 4465-4480 - Chao Chen, Haojun Xu, Rui Yin, Xiaohan Yu, Bo Ma, Chuanhuang Li:
Minimum-Delay Beam Scheduling Leveraging Reflections for Switched Beamforming Systems. VTC Spring 2024: 1-5 - Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue:
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. CoRR abs/2401.14405 (2024) - Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin:
Rethinking the Capacity of Graph Neural Networks for Branching Strategy. CoRR abs/2402.07099 (2024) - Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang:
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. CoRR abs/2402.08957 (2024) - Duotun Wang, Hengyu Meng, Zeyu Cai, Zhijing Shao, Qianxi Liu, Lin Wang, Mingming Fan, Ying Shan, Xiaohang Zhan, Zeyu Wang:
HeadEvolver: Text to Head Avatars via Locally Learnable Mesh Deformation. CoRR abs/2403.09326 (2024) - Yuying Ge, Sijie Zhao, Jinguo Zhu, Yixiao Ge, Kun Yi, Lin Song, Chen Li, Xiaohan Ding, Ying Shan:
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation. CoRR abs/2404.14396 (2024) - Xiaolong Li, Jiawei Mo, Ying Wang, Chethan Parameshwara, Xiaohan Fei, Ashwin Swaminathan, CJ Taylor, Zhuowen Tu, Paolo Favaro, Stefano Soatto:
Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model. CoRR abs/2404.18065 (2024) - Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang:
ATG: Benchmarking Automated Theorem Generation for Generative Language Models. CoRR abs/2405.06677 (2024) - Xiaohan Chen, Jialin Liu, Wotao Yin:
Learning to optimize: A tutorial for continuous and mixed-integer optimization. CoRR abs/2405.15251 (2024)
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