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Publication search results
found 909 matches
- 2024
- Cheng-Jian Lin, Xue-Qian Lin, Jyun-Yu Jhang:
Adversarial-Learning-Based Taguchi Convolutional Fuzzy Neural Classifier for Images of Lung Cancer. IEEE Access 12: 72766-72776 (2024) - Yulin He, Jin Yang, Yingchao Cheng, Xueqin Du, Joshua Zhexue Huang:
A novel member enhancement-based clustering ensemble algorithm. Concurr. Comput. Pract. Exp. 36(10) (2024) - Chengxi Li, Gang Li, Zhuoyue Wang, Xueqian Wang, Pramod K. Varshney:
COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks. Inf. Fusion 106: 102240 (2024) - Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng:
IDEA: Invariant defense for graph adversarial robustness. Inf. Sci. 680: 121171 (2024) - Keting Cen, Hua-Wei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39(2): 177-191 (2024) - Xiusheng Lu, Sicheng Zhao, Lechao Cheng, Ying Zheng, Xueqiao Fan, Mingli Song:
Mixed Resolution Network with hierarchical motion modeling for efficient action recognition. Knowl. Based Syst. 294: 111686 (2024) - Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks 172: 106125 (2024) - Liming Nie, Yangyang Zhao, Chenglin Li, Xuqiong Luo, Yang Liu:
Shadows in the Interface: A Comprehensive Study on Dark Patterns. Proc. ACM Softw. Eng. 1(FSE): 204-225 (2024) - Qifan Tan, Xuqi Yang, Cheng Qiu, Yanhuan Jiang, Jinze He, Jingshuo Liu, Yahui Wu:
SCCMDet: Adaptive Sparse Convolutional Networks Based on Class Maps for Real-Time Onboard Detection in Unmanned Aerial Vehicle Remote Sensing Images. Remote. Sens. 16(6): 1031 (2024) - Xinlai Kang, Mengyu Li, Xuqiang Chen, Fangyu Li, Cheng Meng:
A Hausdorff Regression Paradigm for Interval Privacy. IEEE Signal Process. Lett. 31: 146-150 (2024) - Zhuoyue Wang, Xueqian Wang, Gang Li, Chengxi Li:
Robust Cross-Modal Remote Sensing Image Retrieval via Maximal Correlation Augmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Node Embedding Preserving Graph Summarization. ACM Trans. Knowl. Discov. Data 18(6): 145:1-145:19 (2024) - Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng:
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. IEEE Trans. Knowl. Data Eng. 36(3): 1356-1370 (2024) - Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng:
Graph Adversarial Immunization for Certifiable Robustness. IEEE Trans. Knowl. Data Eng. 36(4): 1597-1610 (2024) - Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. ACM Trans. Inf. Syst. 42(5): 133:1-133:31 (2024) - Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. ACM Trans. Inf. Syst. 42(2): 57:1-57:32 (2024) - Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. ACM Trans. Inf. Syst. 42(5): 123:1-123:29 (2024) - Guanjie Cheng, Yewei Wang, Shuiguang Deng, Zhengzhe Xiang, Xueqiang Yan, Peng Zhao, Schahram Dustdar:
A Lightweight Authentication-Driven Trusted Management Framework for IoT Collaboration. IEEE Trans. Serv. Comput. 17(3): 747-760 (2024) - Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. AAAI 2024: 8832-8840 - Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. AAAI 2024: 16614-16622 - Hangyu Zhao, Hua Wu, Xuqiong Bian, Songtao Liu, Guang Cheng, Xiaoyan Hu, Zhiyi Tian:
Unveiling the Unseen: Video Recognition Attacks on Social Software. ACISP (2) 2024: 412-432 - Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
LPNL: Scalable Link Prediction with Large Language Models. ACL (Findings) 2024: 3615-3625 - Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. ACL (Findings) 2024: 1178-1192 - Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Lixiang Lixiang, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. ACL (1) 2024: 8758-8779 - Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. ACL (Findings) 2024: 11375-11388 - Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL (1) 2024: 6207-6227 - Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. ACL (Findings) 2024: 10303-10317 - Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. ACL (1) 2024: 133-145 - Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng:
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. ACL (Findings) 2024: 5419-5437 - Chengyu Huang, Kezhuo Ma, Sihao Chen, Jiaxuan Fan, Nan Sun, Huazhong Yang, Xueqing Li:
A 16-bit 10-GS/s Calibration-Free DAC Achieving <-77dBc IM3 up to 4.95GHz in 28nm CMOS. CICC 2024: 1-2
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