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Publication search results
found 71 matches
- 2024
- Xiang Xiang, Zihan Zhang, Xilin Chen:
Curricular-balanced long-tailed learning. Neurocomputing 571: 127121 (2024) - Qin Jiang, Xi-Le Zhao, Jie Lin, Jinghua Yang, Jiangtao Peng, Tai-Xiang Jiang:
Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - Wei-Wen Hsu, Yongfang Wu, Chung-Hao Chen, Chang Hao, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Tao He, Yanhong Tai:
A computer-aided diagnosis system for breast pathology: a deep learning approach with model interpretability from pathological perspective. Serv. Oriented Comput. Appl. 18(2): 183-193 (2024) - Haoran Zha, Hanhong Wang, Zhongming Feng, Zhenyu Xiang, Wenjun Yan, Yuanzhi He, Yun Lin:
LT-SEI: Long-Tailed Specific Emitter Identification Based on Decoupled Representation Learning in Low-Resource Scenarios. IEEE Trans. Intell. Transp. Syst. 25(1): 929-943 (2024) - Xiang Li, Qiang Sun:
Variance-aware decision making with linear function approximation under heavy-tailed rewards. Trans. Mach. Learn. Res. 2024 (2024) - Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong:
The Neglected Tails in Vision-Language Models. CVPR 2024: 12988-12997 - Hao Zhang, Ting-Zhu Huang, Jie Lin, Tai-Xiang Jiang:
Sparsity Regularized Rank-(L,M,N) Block Term Decomposition for Hyperspectral Image Mixed Noise Removal. IGARSS 2024: 7614-7617 - Zhaoyuan Lu, Taijun Li, Jingzhen Zhang, Moyang Liu, Xiang Li, Linyi Cui, Junqi Chen, Zhibin Niu:
RisQNet: Rescuing SMEs from Financial Shocks with a Novel Networked-Loan Risk Assessment. IJCAI 2024: 7385-7393 - Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong:
The Neglected Tails of Vision-Language Models. CoRR abs/2401.12425 (2024) - Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zongze Xu, Chenglin Wu:
Data Interpreter: An LLM Agent For Data Science. CoRR abs/2402.18679 (2024) - Jiahao Sun, Chunmei Qing, Xiang Xu, Lingdong Kong, Youquan Liu, Li Li, Chenming Zhu, Jingwei Zhang, Zeqi Xiao, Runnan Chen, Tai Wang, Wenwei Zhang, Kai Chen:
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models. CoRR abs/2405.14870 (2024) - Chen Wang, Kaiyi Ji, Junyi Geng, Zhongqiang Ren, Taimeng Fu, Fan Yang, Yifan Guo, Haonan He, Xiangyu Chen, Zitong Zhan, Qiwei Du, Shaoshu Su, Bowen Li, Yuheng Qiu, Yi Du, Qihang Li, Yifan Yang, Xiao Lin, Zhipeng Zhao:
Imperative Learning: A Self-supervised Neural-Symbolic Learning Framework for Robot Autonomy. CoRR abs/2406.16087 (2024) - 2023
- Yi Jiang, Xiangcheng Yang, Tianqi Zheng:
Make chatbots more adaptive: Dual pathways linking human-like cues and tailored response to trust in interactions with chatbots. Comput. Hum. Behav. 138: 107485 (2023) - Jianting Chen, Ling Ding, Yunxiao Yang, Yang Xiang:
Active diversification of head-class features in bilateral-expert models for enhanced tail-class optimization in long-tailed classification. Eng. Appl. Artif. Intell. 126: 106982 (2023) - Leiyang Xu, Qiang Wang, Xiaotian Lin, Lin Yuan, Xiang Ma:
Skeleton-based Tai Chi action segmentation using trajectory primitives and content. Neural Comput. Appl. 35(13): 9549-9566 (2023) - Lin Xiao, Pengyu Xu, Mingyang Song, Huafeng Liu, Liping Jing, Xiangliang Zhang:
Triple Alliance Prototype Orthotist Network for Long-Tailed Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2616-2628 (2023) - Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia:
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 2023: 1788-1807 - Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP 2023: 6863-6883 - Lin Li, Chao Chen, Lei Pan, Yonghang Tai, Jun Zhang, Yang Xiang:
Hiding Your Signals: A Security Analysis of PPG-Based Biometric Authentication. ESORICS (3) 2023: 183-202 - Ming-Che Chen, Hsin-Hsu Chou, Hsiag-Chun Chen, Jin-Yi Lin, Ren-Guei Hsu, Jia-Xiang Chen, Yu-Tse Lee, Jung-Yao Zhuo, Wan-Jung Chang, Yang-Kun Ou:
iCAPD: A Deep Learning-Based Monitoring System for Continuous Ambulatory Peritoneal Dialysis. ICCE-Taiwan 2023: 657-568 - Ming-An Chung, Sung-Yun Chai, Ming-Chun Hsieh, Chia-Wei Lin, Chia-Chun Hsu, Shang-Jui Huang, Kai-Xiang Chen:
A Fusion Algorithm Using Camera and FMCW Radar for Emotion Recognition. ICCE-Taiwan 2023: 715-716 - Sin-Ye Jhong, Hsin-Chun Lin, Xu-Xiang Weng, Ting-Feng Xie, Han-Wei Lin, Yung-Yao Chen:
A Novel Network Architecture and Training Strategies for Camera-Radar 3D Detection. ICCE-Taiwan 2023: 411-412 - Meng-Chang Wu, Yu-Xiang Wang, Yung-Hoh Sheu, Ching-Lin Li, Teng-Chi Chang, Jen-Yu Shieh:
LCM Aging Detection and Analysis System Design. ICCE-Taiwan 2023: 591-592 - Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li:
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. MLMI@MICCAI (1) 2023: 464-473 - Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun:
Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System. SIGDIAL 2023: 197-201 - Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang:
Few-shot News Recommendation via Cross-lingual Transfer. WWW 2023: 1130-1140 - Huihan Li, Yuting Ning, Zeyi Liao, Xiang Ren:
Logic-Induced-Long-Tail (LINT). Zenodo, 2023 - Xiang Li, Qiang Sun:
Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards. CoRR abs/2303.05606 (2023) - Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. CoRR abs/2305.15065 (2023) - Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji:
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023)
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