activity
20202022
most citedJointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment

6 citations · 19 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2022

VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild

Kun Cheng, Xiaodong Cun, Yong Zhang +6

We present VideoReTalking, a new system to edit the faces of a real-world talking head video according to input audio, producing a high-quality and lip-syncing output video even wi…

cs.CL20223 cited

Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions

Rindranirina Ramamonjison, Haley Li, Timothy T. Yu +5

We describe an augmented intelligence system for simplifying and enhancing the modeling experience for operations research. Using this system, the user receives a suggested formula…

cs.CL20224 cited

Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics

Zihao Wang, Jiaheng Dou, Yong Zhang

Measuring Sentence Textual Similarity (STS) is a classic task that can be applied to many downstream NLP applications such as text generation and retrieval. In this paper, we focus…

cs.NI20222 cited

Routing and QoS Policy Optimization in SD-WAN

Pham Tran Anh Quang, Xu Gong, Chuang Liu +6

In modern SD-WAN networks, a global controller continuously optimizes application and user intents by selecting the proper routing policies for each application. Nevertheless, the…

cs.LG20226 cited

Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment

Xinhang Li, Yong Zhang, Chunxiao Xing

Entity alignment aims at integrating heterogeneous knowledge from different knowledge graphs. Recent studies employ embedding-based methods by first learning the representation of…

cs.DB20214 cited

Updatable Learned Index with Precise Positions

Jiacheng Wu, Yong Zhang, Shimin Chen +3

Index plays an essential role in modern database engines to accelerate the query processing. The new paradigm of "learned index" has significantly changed the way of designing inde…