64 citations · 91 across the 11 of their papers we have counts for
11 papers
Intensity-free Integral-based Learning of Marked Temporal Point Processes
Sishun Liu, Ke Deng, Xiuzhen Zhang +1
In the marked temporal point processes (MTPP), a core problem is to parameterize the conditional joint PDF (probability distribution function) for inter-event time a…
Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity
Nannan Huang, Lin Tian, Haytham Fayek +1
Opinion summarisation is a task that aims to condense the information presented in the source documents while retaining the core message and opinions. A summary that only represent…
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters
Lin Tian, Xiuzhen Zhang, Jey Han Lau
State-sponsored trolls are the main actors of influence campaigns on social media and automatic troll detection is important to combat misinformation at scale. Existing troll detec…
Trustworthy Recommender Systems
Shoujin Wang, Xiuzhen Zhang, Yan Wang +2
Recommender systems (RSs) aim to help users to effectively retrieve items of their interests from a large catalogue. For a quite long period of time, researchers and practitioners…
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities
Shoujin Wang, Qi Zhang, Liang Hu +3
In recent years, sequential recommender systems (SRSs) and session-based recommender systems (SBRSs) have emerged as a new paradigm of RSs to capture users' short-term but dynamic…
Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns
Xiaofei Xu, Ke Deng, Xiuzhen Zhang
Online social networks have become a fertile ground for spreading fake news. Methods to automatically mitigate fake news propagation have been proposed. Some studies focus on selec…
Task Allocation on Networks with Execution Uncertainty
Xiuzhen Zhang, Yao Zhang, Dengji Zhao
We study a single task allocation problem where each worker connects to some other workers to form a network and the task requester only connects to some of the workers. The goal i…
Does QA-based intermediate training help fine-tuning language models for text classification?
Shiwei Zhang, Xiuzhen Zhang
Fine-tuning pre-trained language models for downstream tasks has become a norm for NLP. Recently it is found that intermediate training based on high-level inference tasks such as…
Rumour Detection via Zero-shot Cross-lingual Transfer Learning
Lin Tian, Xiuzhen Zhang, Jey Han Lau
Most rumour detection models for social media are designed for one specific language (mostly English). There are over 40 languages on Twitter and most languages lack annotated reso…
Incentive Compatible Mechanism for Influential Agent Selection
Xiuzhen Zhang, Yao Zhang, Dengji Zhao
Selecting the most influential agent in a network has huge practical value in applications. However, in many scenarios, the graph structure can only be known from agents' reports o…
Sybil-proof Answer Querying Mechanism
Yao Zhang, Xiuzhen Zhang, Dengji Zhao
We study a question answering problem on a social network, where a requester is seeking an answer from the agents on the network. The goal is to design reward mechanisms to incenti…