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Publication search results
found 47 matches
- 2024
- Yang Qingyong, Chenchen Huang, Cao Likun, Song Qi, Jiang Xiyan, Liu Ximei, Chunmiao Yu:
CLAHR: Cascaded Label Assignment Head for High-Resolution Small Object Detection. IEEE Access 12: 15447-15457 (2024) - Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang:
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. AAAI 2024: 9002-9010 - Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang:
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. AAAI 2024: 15644-15652 - Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long:
On the Embedding Collapse when Scaling up Recommendation Models. ICML 2024 - Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang:
Understanding the Ranking Loss for Recommendation with Sparse User Feedback. KDD 2024: 5409-5418 - Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang:
Ads Recommendation in a Collapsed and Entangled World. KDD 2024: 5566-5577 - Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang:
Ad Recommendation in a Collapsed and Entangled World. CoRR abs/2403.00793 (2024) - Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang:
Understanding the Ranking Loss for Recommendation with Sparse User Feedback. CoRR abs/2403.14144 (2024) - Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Lei Xiao, Jie Jiang:
Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation. CoRR abs/2405.12706 (2024) - 2023
- Jiangzhong Cao, Ximei Yao, Huan Zhang, Jian Jin, Yun Zhang, Bingo Wing-Kuen Ling:
Slimmable Multi-Task Image Compression for Human and Machine Vision. IEEE Access 11: 29946-29958 (2023) - Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo:
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI 2023: 10745-10753 - Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long:
CLIPood: Generalizing CLIP to Out-of-Distributions. ICML 2023: 31716-31731 - Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long:
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning. NeurIPS 2023 - Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long:
ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. CoRR abs/2301.12618 (2023) - Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long:
CLIPood: Generalizing CLIP to Out-of-Distributions. CoRR abs/2302.00864 (2023) - Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang:
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation. CoRR abs/2308.13537 (2023) - Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang:
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. CoRR abs/2309.10302 (2023) - Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long:
On the Embedding Collapse when Scaling up Recommendation Models. CoRR abs/2310.04400 (2023) - 2022
- Jigen Xia, Ximei Qiao, Zhiqiang Li, Jian Wu, Xingmeng Dong, Yuwen Zhai:
Application of Semi-Airborne Frequency Domain Electromagnetic Data Based on Improved Ant-Colony-Optimized Wavelet Threshold Denoising Method. IEEE Access 10: 129163-129175 (2022) - Huan Zhang, Jiangzhong Cao, Dongsheng Zheng, Ximei Yao, Bingo Wing-Kuen Ling:
Deep Learning-Based Synthesized View Quality Enhancement with DIBR Distortion Mask Prediction Using Synthetic Images. Sensors 22(21): 8127 (2022) - Dongsheng Zheng, Huan Zhang, Jiangzhong Cao, Xu Zhang, Ximei Yao, Wing-Kuen Ling:
Evaluating Quality of DIBR-synthesized Views based on Texture and Perceptual Hashing Similarity. ACAI 2022: 30:1-30:6 - Hude Ma, Jingdan Hou, Wenhui Xiong, Zhilin Zhang, Fucheng Wang, Jie Cao, Peng Jiang, Hanjun Yang, Ximei Liu, Jingkun Xu:
3D Printing of PEDOT: PSS-PU-PAA Hydrogels with Excellent Mechanical and Electrical Performance for EMG Electrodes. ICIRA (2) 2022: 295-304 - Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long:
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. ICLR 2022 - Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long:
Debiased Self-Training for Semi-Supervised Learning. NeurIPS 2022 - Baixu Chen, Junguang Jiang, Ximei Wang, Jianmin Wang, Mingsheng Long:
Debiased Pseudo Labeling in Self-Training. CoRR abs/2202.07136 (2022) - Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo:
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning. CoRR abs/2211.15055 (2022) - 2021
- Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long:
Regressive Domain Adaptation for Unsupervised Keypoint Detection. CVPR 2021: 6780-6789 - Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang:
Self-Tuning for Data-Efficient Deep Learning. ICML 2021: 10738-10748 - Ximei Wang, Jinghan Gao, Jianmin Wang, Mingsheng Long:
Self-Tuning for Data-Efficient Deep Learning. CoRR abs/2102.12903 (2021) - Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long:
Regressive Domain Adaptation for Unsupervised Keypoint Detection. CoRR abs/2103.06175 (2021)
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