A5069845874- Transportation and Mobility Innovations
- Recommender Systems and Techniques
- Human Mobility and Location-Based Analysis
- Topic Modeling
- Electric Vehicles and Infrastructure
- Natural Language Processing Techniques
- Smart Grid Energy Management
- Digital Economy and Work Transformation
- Caching and Content Delivery
- Advanced Algorithms and Applications
- Hand Gesture Recognition Systems
- Gait Recognition and Analysis
- Advanced Computational Techniques and Applications
- Human Pose and Action Recognition
- Advanced Sensor and Control Systems
- Multimodal Machine Learning Applications
- Advanced Graph Neural Networks
University of Hong Kong
2023-2025
Hong Kong University of Science and Technology
2023-2025
Heilongjiang University of Science and Technology
2024
University of Science and Technology of China
2021-2022
Baidu (China)
2021
Hefei University of Technology
2019
Electric Vehicle (EV) has become a preferable choice in the modern transportation system due to its environmental and energy sustainability. However, many large cities, EV drivers often fail find proper spots for charging, because of limited charging infrastructures spatiotemporally unbalanced demands. Indeed, recent emergence deep reinforcement learning provides great potential improve experience from various aspects over long-term horizon. In this paper, we propose framework, named...
Electric Vehicle (EV) has become preferable choices in modern transportation system due to its environmental and energy sustainability. However, many large cities, EV drivers often fail find proper spots for charging because of the limited infrastructures spatiotemporally unbalanced demands. Indeed, recent emergence deep reinforcement learning provides great potential improve experience over long-term horizons. In this paper, we propose RLCharge intelligent station recommendation by jointly...
Cross-Domain Sequential Recommendation (CDSR) aims to predict users’ preferences based on historical sequential interactions across multiple domains. Existing works focus the overlapped users who interact in domains capture cross-domain correlations. These methods often underperform practical scenarios featuring both and non-overlapped due limited knowledge transfer misalignment for users. To address this, we leverage Large Language Models (LLMs) facilitate CDSR by fully exploiting...
Out-of-town recommendation is designed for those users who leave their home-town areas and visit the they have never been to before. It challenging recommend Point-of-Interests (POIs) out-of-town since check-in behavior determined by not only user’s preference but also travel intention. Besides, intentions are complex dynamic, which leads big difficulties in understanding such precisely. In this paper, we propose a TRAvel-INtention-aware Recommendation framework, named TRAINOR. The proposed...
This paper addresses the sign video interpretation which is a weakly supervised task. Each action in videos lacks exact boundaries or labels. We design Parallel Temporal Encoder (PTEnc) to learn temporal relation of from local and global sequential learning views parallel. PTEnc utilizes complementarity between cues. Then, fused encoded feature sequence fed into Connectionist Classification (CTC) based sentence decoder. In addition, order enhance cues each video, we introduce reconstruction...
Pre-travel out-of-town recommendation aims to recommend Point-of-Interests (POIs) the users who plan travel out of their hometown in near future yet have not decided where go, i.e., destination regions and POIs both remain unknown. It is a non-trivial task since searching space vast, which may lead distinct experiences different eventually confuse decision-making. Besides, users' behaviors are affected only by personalized preferences but heavily others' behaviors. To this end, we propose...
In this study, the two-dimensional hexagonal Photonic crystal energy band structure was simulated using COMSOL Multiphysics field simulation software. The 2D constructed by setting parameters such as periodic boundary conditions and air hole radius. Using frequency domain solver of software, transmission reflection spectra were calculated, diagram obtained. effects different on analyzed adjusting parameters. results show that fine tuning crystals can be realized radius holes conditions. This...
Though big progress in table-to-text works, effectively leveraging table structure signals, e.g., hierarchical structure, remains challenging. Besides, deliberating generated descriptions proves to be effective for table-to-text. However, determining the appropriate outcome when encountering multi-pass candidates is another challenge. To this end, we propose a novel approach on top of Self-evaluated Generation and Heterogenous Multidominance Attention, namely SG-HMA. Specifically, formulate...
Out-of-town recommendation is designed for those users who leave their home-town areas and visit the they have never been to before. It challenging recommend Point-of-Interests (POIs) out-of-town since check-in behavior determined by not only user's preference but also travel intention. Besides, intentions are complex dynamic, which leads big difficulties in understanding such precisely. In this paper, we propose a TRAvel-INtention-aware Recommendation framework, named TRAINOR. The proposed...