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- Zhejiang UniversityCN48 papers
- Peking UniversityCN21 papers
- Tsinghua UniversityCN20 papers
- Alibaba Group (United States)US18 papers
- Shanghai Jiao Tong UniversityCN17 papers
- University of Science and Technology of ChinaCN16 papers
- Chinese Academy of SciencesCN14 papers
- Nanyang Technological UniversitySG10 papers
- University of Chinese Academy of SciencesCN10 papers
- Huazhong University of Science and TechnologyCN8 papers
- University of Electronic Science and Technology of ChinaCN8 papers
- Wuhan UniversityCN8 papers
22 papers · 1 filter
Knowledge-Decoupled Functionally Invariant Path with Synthetic Personal Data for Personalized ASR
Yue Gu, Zhihao Du, Ying Shi +2
Fine-tuning generic ASR models with large-scale synthetic personal data can enhance the personalization of ASR models, but it introduces challenges in adapting to synthetic persona…
Experience Paper: Adopting Activity Recognition in On-demand Food Delivery Business
Huatao Xu, Yan Zhang, Wei Gao +2
This paper presents the first nationwide deployment of human activity recognition (HAR) technology in the on-demand food delivery industry. We successfully adapted the state-of-the…
GS-RoadPatching: Inpainting Gaussians via 3D Searching and Placing for Driving Scenes
Guo Chen, Jiarun Liu, Sicong Du +5
This paper presents GS-RoadPatching, an inpainting method for driving scene completion by referring to completely reconstructed regions, which are represented by 3D Gaussian Splatt…
ELEC: Efficient Large Language Model-Empowered Click-Through Rate Prediction
Rui Dong, Wentao Ouyang, Xiangzheng Liu
Click-through rate (CTR) prediction plays an important role in online advertising systems. On the one hand, traditional CTR prediction models capture the collaborative signals in t…
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework
Moyu Zhang, Yujun Jin, Jinxin Hu +1
With the emergence of e-commerce, the recommendations provided by commercial platforms must adapt to diverse scenarios to accommodate users' varying shopping preferences. Current m…
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion
Moyu Zhang, Yongxiang Tang, Yujun Jin +2
Traditional recommendation methods rely on correlating the embedding vectors of item IDs to capture implicit collaborative filtering signals to model the user's interest in the tar…