Search Results for author: Hao Deng

Found 21 papers, 3 papers with code

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval

no code implementations17 Apr 2025 Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang

Multi-objective embedding-based retrieval (EBR) has become increasingly critical due to the growing complexity of user behaviors and commercial objectives.

Retrieval

H2-MARL: Multi-Agent Reinforcement Learning for Pareto Optimality in Hospital Capacity Strain and Human Mobility during Epidemic

no code implementations13 Mar 2025 Xueting Luo, Hao Deng, Jihong Yang, Yao Shen, Huanhuan Guo, Zhiyuan Sun, Mingqing Liu, Jiming Wei, Shengjie Zhao

The necessity of achieving an effective balance between minimizing the losses associated with restricting human mobility and ensuring hospital capacity has gained significant attention in the aftermath of COVID-19.

Multi-agent Reinforcement Learning Reinforcement Learning (RL)

HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation

no code implementations3 Mar 2025 Hao Deng, Haibo Xing, Kanefumi Matsuyama, Yulei Huang, Jinxin Hu, Hong Wen, Jia Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang

Recent studies have attempted to integrate user-side heterogeneous features into item representation sequences, but item-side heterogeneous features, which are vital for performance, remain excluded.

Sequential Recommendation

PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning

no code implementations25 Feb 2025 Zelin Tao, Hao Deng, Mingqing Liu, Lijun Zhang, Shengjie Zhao

Online continual learning (OCL), which enables AI systems to adaptively learn from non-stationary data streams, is commonly achieved using experience replay (ER)-based methods that retain knowledge by replaying stored past during training.

Continual Learning

High-resolution Rainy Image Synthesis: Learning from Rendering

1 code implementation23 Feb 2025 Kaibin Zhou, Shengjie Zhao, Hao Deng, Lin Zhang

However, these methods are essential for synthesizing large-scale high-quality paired rainy-clean image datasets, which can train deep learning-based single image rain removal models capable of generalizing to various illumination conditions.

Image Generation Rain Removal

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems

no code implementations22 Feb 2025 Haibo Xing, Kanefumi Matsuyama, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng

Industrial recommendation systems typically involve a two-stage process: retrieval and ranking, which aims to match users with millions of items.

Clustering Diversity +2

Can video generation replace cinematographers? Research on the cinematic language of generated video

no code implementations16 Dec 2024 Xiaozhe Li, Kai Wu, Siyi Yang, YiZhan Qu, Guohua. Zhang, Zhiyu Chen, Jiayao Li, Jiangchuan Mu, Xiaobin Hu, Wen Fang, Mingliang Xiong, Hao Deng, Qingwen Liu, Gang Li, Bin He

Recent advancements in text-to-video (T2V) generation have leveraged diffusion models to enhance visual coherence in videos synthesized from textual descriptions.

Video Generation

Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition

1 code implementation25 Jun 2024 Guanghao Zhu, Lin Liu, Yuhao Hu, Haixin Sun, Fang Liu, Xiaohui Du, Ruqian Hao, Juanxiu Liu, Yong liu, Hao Deng, Jing Zhang

Secondly, we employ efficient channel attention modules in the local-spatial stream to make the network focus on facial regions that are highly relevant to micro-expressions.

Micro Expression Recognition Micro-Expression Recognition +2

Flexible Multi-Generator Model with Fused Spatiotemporal Graph for Trajectory Prediction

no code implementations6 Nov 2023 Peiyuan Zhu, Fengxia Han, Hao Deng

Trajectory prediction plays a vital role in automotive radar systems, facilitating precise tracking and decision-making in autonomous driving.

Autonomous Driving Decision Making +1

A Multimodal Learning Framework for Comprehensive 3D Mineral Prospectivity Modeling with Jointly Learned Structure-Fluid Relationships

no code implementations6 Sep 2023 Yang Zheng, Hao Deng, Ruisheng Wang, Jingjie Wu

This study presents a novel multimodal fusion model for three-dimensional mineral prospectivity mapping (3D MPM), effectively integrating structural and fluid information through a deep network architecture.

Data Integration Decision Making

A Transformer-based Deep Learning Algorithm to Auto-record Undocumented Clinical One-Lung Ventilation Events

no code implementations16 Feb 2023 Zhihua Li, Alexander Nagrebetsky, Sylvia Ranjeva, Nan Bi, Dianbo Liu, Marcos F. Vidal Melo, Timothy Houle, Lijun Yin, Hao Deng

We hypothesized that available intraoperative mechanical ventilation and physiological time-series data combined with other clinical events could be used to accurately predict missing start and end times of OLV.

Time Series Time Series Analysis

End-to-End Transmission Analysis of Simultaneous Wireless Information and Power Transfer using Resonant Beam

no code implementations10 Jun 2021 Wen Fang, Hao Deng, Qingwen Liu, Mingqing Liu, Mengyuan Xu, Liuqing Yang, Georgios B. Giannakis

Integrating the wireless power transfer (WPT) technology into the wireless communication system has been important for operational cost saving and power-hungry problem solving of electronic devices.

Retro-Reflective Beam Communications with Spatially Separated Laser Resonator

no code implementations30 Jan 2021 Mingliang Xiong, Mingqing Liu, Qingwei Jiang, Jie zhou, Qingwen Liu, Hao Deng

Optical wireless communications (OWC) utilizing infrared or visible light as the carrier attracts great attention in 6G research.

Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records

no code implementations25 Dec 2019 Jianfei Cui, He Zhu, Hao Deng, Ziwei Chen, Dianbo Liu

Sometimes electrical medical records are restricted and difficult to centralize for machine learning, which could only be trained in distributed manner that involved many institutions in the process.

BIG-bench Machine Learning

Mobile Power Network for Ultimate Mobility without Battery Life Anxiety

no code implementations3 Feb 2018 Mingqing Liu, Qingwen Liu, Mingliang Xiong, Hao Deng, Xinhe Wang

We propose here the next generation of power delivery network -- mobile power network (MPN) for wireless power transfer within a mobile range from several meters to tens of meters.

PCM and APCM Revisited: An Uncertainty Perspective

no code implementations27 Oct 2016 Peixin Hou, Hao Deng, Jiguang Yue, Shuguang Liu

Experiments show that parameters $\sigma_v$ and $\alpha$ make the clustering process more easy to control, and main features of PCM and APCM are unified in this new clustering framework (UPCM).

Clustering

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