公开(公告)号：US11886993B2

公开(公告)日：2024-01-30

申请号：US17015269

申请日：2020-09-09

Applicant: Beijing University of Posts and Telecommunications

Inventor： Qi Qi ,  Haifeng Sun ,  Jing Wang ,  Lingxin Zhang ,  Jingyu Wang ,  Jianxin Liao

IPC: G06N3/08 ,  G06N3/047

CPC classification number: G06N3/08 ,  G06N3/047

Abstract: Disclosed are a method and apparatus for task scheduling based on deep reinforcement learning and a device. The method comprises: obtaining multiple target subtasks to be scheduled; building target state data corresponding to the multiple target subtasks, wherein the target state data comprises a first set, a second set, a third set, and a fourth set; inputting the target state data into a pre-trained task scheduling model, to obtain a scheduling result of each target subtask; wherein, the scheduling result of each target subtask comprises a probability that the target subtask is scheduled to each target node; for each target subtask, determining a target node to which the target subtask is to be scheduled based on the scheduling result of the target subtask, and scheduling the target subtask to the determined target node.

公开(公告)号：US11974027B2

公开(公告)日：2024-04-30

申请号：US18115110

申请日：2023-02-28

Applicant: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

Inventor： Zirui Zhuang ,  Jingyu Wang ,  Huairuo Xu ,  Haifeng Sun ,  Daoxu Sheng ,  Jing Wang

IPC: H04N21/81 ,  H04N21/24 ,  H04N21/414 ,  H04N21/6405 ,  H04N21/647

CPC classification number: H04N21/816 ,  H04N21/2407 ,  H04N21/41407 ,  H04N21/6405 ,  H04N21/64769

Abstract: A system and method for real-time transmission of a panoramic video, which propose a new grouping method and bitrate decision method specifically for a panoramic 360-degree video. The grouping method takes into account fields of view of different users, thus effectively reducing the bandwidth consumption of repeated video segments, while ensuring user fairness and making full use of network bandwidth resources when allocating resources. The system and method of the invention can maximize the long-term QoE of users under the condition of limited bandwidth, and avoid the problem that the existing schemes are complex and difficult to meet real-time requirements of users.

公开(公告)号：US20230401243A1

公开(公告)日：2023-12-14

申请号：US18095196

申请日：2023-01-10

Applicant: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

Inventor： Haifeng Sun ,  Zirui Zhuang ,  Bing Ma ,  Jingyu Wang ,  Cheng Zhang ,  Tong Xu ,  Jing Wang

IPC: G06F16/332 ,  G06F16/33 ,  G06N3/08

CPC classification number: G06F16/3329 ,  G06F16/3347 ,  G06F16/3344 ,  G06N3/08

Abstract: The multi-turn dialogue system based on retrieval includes the following modules: a representation module, a matching module, an aggregation module and a prediction module; the multi-turn dialogue method based on retrieval includes the following steps: (1) by a representation module, converting each turn of dialogue into a cascade vector of the dialogue, and converting a candidate answer into a cascade vector of the candidate answer; (2) by a matching module, dynamically absorbing context information based on a global attention mechanism, and calculating a matching vector; (3) by aggregation module, obtaining a short-term dependence information sequence and a long-term dependence information sequence; (4) by a prediction module, calculating the matching score of the context and candidate answer involved in the matching; (5) selecting a candidate answer with the highest matching score as a correct answer.

公开(公告)号：US12292905B2

公开(公告)日：2025-05-06

申请号：US18095196

申请日：2023-01-10

Applicant: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

Inventor： Haifeng Sun ,  Zirui Zhuang ,  Bing Ma ,  Jingyu Wang ,  Cheng Zhang ,  Tong Xu ,  Jing Wang

IPC: G06F17/00 ,  G06F16/3329 ,  G06F16/334 ,  G06N3/08

Abstract: The multi-turn dialogue system based on retrieval includes the following modules: a representation module, a matching module, an aggregation module and a prediction module; the multi-turn dialogue method based on retrieval includes the following steps: (1) by a representation module, converting each turn of dialogue into a cascade vector of the dialogue, and converting a candidate answer into a cascade vector of the candidate answer; (2) by a matching module, dynamically absorbing context information based on a global attention mechanism, and calculating a matching vector; (3) by aggregation module, obtaining a short-term dependence information sequence and a long-term dependence information sequence; (4) by a prediction module, calculating the matching score of the context and candidate answer involved in the matching; (5) selecting a candidate answer with the highest matching score as a correct answer.

公开(公告)号：US11411865B2

公开(公告)日：2022-08-09

申请号：US16906867

申请日：2020-06-19

Applicant: Beijing University of Posts and Telecommunications

Inventor： Jing Wang ,  Jingyu Wang ,  Haifeng Sun ,  Qi Qi ,  Bo He ,  Jianxin Liao

IPC: H04L45/00 ,  H04L45/302

Abstract: A network resource scheduling method, apparatus, an electronic device and a storage medium are disclosed. An embodiment of the method includes: upon receipt of a network data stream, determining a traffic type of the network data stream based on the number of data packets of the network data stream received within a specified period of time, lengths of the data packets and reception times of the data packets; for each data packet comprised in the network data stream, determining a target transmission path for the data packet, based on node state parameters of nodes in the network cluster, link state parameters of links in the network cluster, and the traffic type of the network data stream when the data packet is received; and transmitting the data packet via the target transmission path.