Events

Speaker:
Mr. ZHOU Dongruo

Abstract:

Reinforcement learning (RL) has achieved great empirical success in many real-world problems in the last few years. However, many RL algorithms are inefficient due to their data-hungry nature. Whether there exists a universal way to improve the efficiency of existing RL algorithms re

Speaker:
Mr. ZHANG Hanrui

Abstract:

Machine learning algorithms now play a major part in all kinds of decision-making scenarios. When the stakes are high, self-interested agents — about whom decisions are being made — are increasingly tempted to manipulate the machine learning algorithm, in order to better

Speaker:
Prof. Pasi Fränti
School of Computing
University of Eastern Finland

Abstract:

Clustering can be a powerful tool in analyzing healthcare data. We show how clustering algorithms can be used to extract new insight from various health data with the aim to better optimize the future health care system. We first sh

Speaker:
Mr. NIE Pengyu

Abstract:

Machine Learning (ML) techniques have been increasing adopted for Software Engineering (SE) tasks, such as code completion and code summarization. However, existing ML models provide limited value for SE tasks, because these models do not take into account the key characteristics of so

Speaker:
Prof. ZHAO Xiangyu
Assistant Professor, School of Data Science
City University of Hong Kong (CityU)

Abstract:

Deep recommender systems have become increasingly popular in recent years, and have been utilized in a variety of domains, including movies, music, books, search queries, and social networks. They assi

Speaker:
Professor Jeff Kramer
Emeritus Professor, Department of Computing,
Imperial College London

Abstract:

Change in complex systems is inevitable. Providing rigorous techniques and tools to support dynamic system adaptation so that it can be performed online, at runtime, is certainly challenging. However the potent

Speaker:
Mr. DING Kaize

Abstract:

The world around us — and our understanding of it — is rich in relational structure: from atoms and their interactions to objects and entities in our environments. Graphs, with nodes representing entities and edges representing relationships between entities, serve as a com

Speaker:
Professor Yibo Lin
Assistant Professor
School of Integrated Circuits
Peking University

Abstract:

Physical design is a critical step in the design flow of modern VLSI circuits. With continuous increase of design complexity, physical design becomes extremely challenging and time-consuming due to the repeated des

Speaker:
Professor Yuqun Zhang
Assistant Professor
Department of Computer Science and Engineering
Southern University of Science and Technology

Abstract:

Fuzzing (or fuzz testing) refers to inputting invalid, unexpected, or random data to programs for exposing unexpected program behaviors (such as crashes, failing asse