Search Results for author:
Found 14 papers, 5 papers with code
Intelligent Computing: The Latest Advances, Challenges and Future
In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications.
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model.
Ranked #1 on
Link Property Prediction
on ogbl-ddi
Ten Years after ImageNet: A 360° Perspective on AI
The rise of attention networks, self-supervised learning, generative modeling, and graph neural networks has widened the application space of AI.
Finding MNEMON: Reviving Memories of Node Embeddings
Previous security research efforts orbiting around graphs have been exclusively focusing on either (de-)anonymizing the graphs or understanding the security and privacy issues of graph neural networks.
Permutation-Invariant Subgraph Discovery
PSPI can be viewed as a robust formulation of the permutation inference or graph matching, where the objective is to find a permutation between two graphs under the assumption that a set of edges may have undergone a perturbation due to an underlying cause.
Log representation as an interface for log processing applications
Log files are files that record events, messages, or transactions.
Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users
Autoencoder-based anomaly detection methods have been used in identifying anomalous users from large-scale enterprise logs with the assumption that adversarial activities do not follow past habitual patterns.
Spatial-Temporal Alignment Network for Action Recognition and Detection
The experimental results show that the STAN model can consistently improve the state of the arts in both action detection and action recognition tasks.
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention
We finally apply our model on PAKDD papers published from 2009-2019 to mine insightful results from scientific papers published in a longer time span.
Macroscopic nonlocal entanglement generation of two hybrid massive magnon systems
We investigate dynamical generation of macroscopic nonlocal entanglements between two remote massive magnon-superconducting-circuit hybrid systems.
Quantum Physics
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
The first contribution is a new dataset, created in a realistic 3D simulator, which is based on real world trajectory data, and then extrapolated by human annotators to achieve different latent goals.
Ranked #1 on
Multi-future Trajectory Prediction
on ForkingPaths
Quantum Unsupervised and Supervised Learning on Superconducting Processors
Machine learning algorithms perform well on identifying patterns in many different datasets due to their versatility.
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
It is both crucial and natural to extend this research direction to the video domain for video question answering (VideoQA).
Ranked #15 on
Video Question Answering
on ActivityNet-QA
Visual Question Answering (VQA)
Zero-Shot Video Question Answer
On Exploring Undetermined Relationships for Visual Relationship Detection
In this paper, we explore the beneficial effect of undetermined relationships on visual relationship detection.
