• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 465 matches

• 2024
• 
  Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama:
  On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2569-2583 (2024)
• 
  Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
  PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3183-3198 (2024)
• 
  Tao Chen, Xiao Gao, Gang Liu, Chen Wang, Zeyang Zhao, Jie Dou, Ruiqing Niu, Antonio J. Plaza:
  BisDeNet: A New Lightweight Deep Learning-Based Framework for Efficient Landslide Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3648-3663 (2024)
• 
  Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama:
  Direct Distillation between Different Domains. CoRR abs/2401.06826 (2024)
• 
  Zhenxing Niu, Haodong Ren, Xinbo Gao, Gang Hua, Rong Jin:
  Jailbreaking Attack against Multimodal Large Language Model. CoRR abs/2402.02309 (2024)
• 
  Zhen-Yu Zhang, Siwei Han, Huaxiu Yao, Gang Niu, Masashi Sugiyama:
  Generating Chain-of-Thoughts with a Direct Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought. CoRR abs/2402.06918 (2024)
• 
  Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
  Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training. CoRR abs/2404.06287 (2024)
• 2023
• 
  Xiaohua Li, Guangxiao Niu, Xiangxiang Li, Xiaoli Wang, Gang Shi:
  Correct and Crisp Edge Detection Approach Based on Dense Network. IEEE Access 11: 20940-20951 (2023)
• 
  Hongzhaoning Kang, Gang Liu, Quan Wang, Qi Zhang, Jiamin Niu, Nan Luo:
  An improved minimal noise role mining algorithm based on role interpretability. Comput. Secur. 127: 103100 (2023)
• 
  Shuo Chen, Chen Gong, Xiang Li, Jian Yang, Gang Niu, Masashi Sugiyama:
  Boundary-restricted metric learning. Mach. Learn. 112(12): 4723-4762 (2023)
• 
  Tingting Zhao, S. Wu, G. Li, Y. Chen, Gang Niu, Masashi Sugiyama:
  Learning Intention-Aware Policies in Deep Reinforcement Learning. Neural Comput. 35(10): 1657-1677 (2023)
• 
  Yunxiang Wang, Jianhong Zhou, Gang Feng, Xianhua Niu, Shuang Qin:
  Blockchain Assisted Federated Learning for Enabling Network Edge Intelligence. IEEE Netw. 37(1): 96-102 (2023)
• 
  Tingting Zhao, Ying Wang, Wei Sun, Yarui Chen, Gang Niu, Masashi Sugiyama:
  Representation learning for continuous action spaces is beneficial for efficient policy learning. Neural Networks 159: 137-152 (2023)
• 
  Chen Gong, Yongliang Ding, Bo Han, Gang Niu, Jian Yang, Jane You, Dacheng Tao, Masashi Sugiyama:
  Class-Wise Denoising for Robust Learning Under Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2835-2848 (2023)
• 
  Shuo Yang, Songhua Wu, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu:
  A Parametrical Model for Instance-Dependent Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14055-14068 (2023)
• 
  Shunshun Qi, Guoyu Li, Dun Chen, Fujun Niu, Zhizhong Sun, Gang Wu, Qingsong Du, Mingtang Chai, Yapeng Cao, Jianwei Yue:
  Research on the Characteristics of Thermosyphon Embankment Damage and Permafrost Distribution Based on Ground-Penetrating Radar: A Case Study of the Qinghai-Tibet Highway. Remote. Sens. 15(10): 2651 (2023)
• 
  Liujing Xiong, Yifan He, Yuejian Chen, Jinjun Lu, Gang Niu:
  Digital twin-based degradation prediction for train electro-pneumatic valve. Reliab. Eng. Syst. Saf. 240: 109627 (2023)
• 
  Cheng Wang, Ling Zhang, Jiong Niu, Gangsheng Li, Q. M. Jonathan Wu:
  Accurate Direction Finding for Shipborne HFSWR Through Platform Motion Compensation. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023)
• 
  Yuejian Chen, Meng Rao, Ke Feng, Gang Niu:
  Modified Varying Index Coefficient Autoregression Model for Representation of the Nonstationary Vibration From a Planetary Gearbox. IEEE Trans. Instrum. Meas. 72: 1-12 (2023)
• 
  Gang Niu, Xun Dong, Yuejian Chen:
  Motor Fault Diagnostics Based on Current Signatures: A Review. IEEE Trans. Instrum. Meas. 72: 1-19 (2023)
• 
  Guan Yuan, Suyang Shi, Gang Shen, Qiang Niu, Zhencai Zhu, Qing-Guo Wang:
  MIAKF: Motion Inertia Estimated Adaptive Kalman Filtering for Underground Mine Tunnel Positioning. IEEE Trans. Instrum. Meas. 72: 1-11 (2023)
• 
  Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu:
  Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. 35(11): 11599-11609 (2023)
• 
  Sijie Niu, Kun Gao, Pengfei Ma, Xizhan Gao, Hui Zhao, Jiwen Dong, Yuehui Chen, Dinggang Shen:
  Exploiting Sparse Self-Representation and Particle Swarm Optimization for CNN Compression. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10266-10278 (2023)
• 
  Fan Yang, Yusen Li, Zeyuan Niu, Gang Wang, Xiaoguang Liu:
  ExtendLife: Weights Mapping Framework to Improve RRAM Lifetime for Accelerating CNN. APPT 2023: 40-53
• 
  Tianci Li, Lulu Xie, Zhonghai Zhang, Xu Li, Bo Duan, Gang Niu, Shiwei Sun, Fa Zhang, Runting Zhang, Guangming Tan, Chunming Zhang:
  Integrative Drug Discovery Platform: A Modular Approach for Efficient and Automated Virtual Screening. BIBM 2023: 365-372
• 
  Liujing Xiong, Xun Dong, Gang Niu:
  Reliability Analysis and Quantitative Calculation of Hydraulic Slide Valve Stuck Problem. SAFEPROCESS 2023: 1-6
• 
  Bingxu Mu, Zhenxing Niu, Le Wang, Xue Wang, Qiguang Mia, Rong Jin, Gang Hua:
  Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks. CVPR 2023: 20495-20503
• 
  Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng:
  Towards Effective Visual Representations for Partial-Label Learning. CVPR 2023: 15589-15598
• 
  Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong:
  Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. ICCV 2023: 17424-17434
• 
  Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
  Multi-Label Knowledge Distillation. ICCV 2023: 17225-17234

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