466 citations · 781 across the 12 of their papers we have counts for
12 papers
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding
Zhihan Zhang, Yixin Cao, Chenchen Ye +3
The digital landscape is rapidly evolving with an ever-increasing volume of online news, emphasizing the need for swift and precise analysis of complex events. We refer to the comp…
Contrastive Pre-training for Deep Session Data Understanding
Zixuan Li, Lizi Liao, Yunshan Ma +1
Session data has been widely used for understanding user's behavior in e-commerce. Researchers are trying to leverage session data for different tasks, such as purchase intention p…
Learning to Ask Critical Questions for Assisting Product Search
Zixuan Li, Lizi Liao, Tat-Seng Chua
Product search plays an essential role in eCommerce. It was treated as a special type of information retrieval problem. Most existing works make use of historical data to improve t…
Rethinking Dialogue State Tracking with Reasoning
Lizi Liao, Yunshan Ma, Wenqiang Lei +1
Tracking dialogue states to better interpret user goals and feed downstream policy learning is a bottleneck in dialogue management. Common practice has been to treat it as a proble…
Knowledge Enhanced Neural Fashion Trend Forecasting
Yunshan Ma, Yujuan Ding, Xun Yang +3
Fashion trend forecasting is a crucial task for both academia and industry. Although some efforts have been devoted to tackling this challenging task, they only studied limited fas…
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness
Zheng Zhang, Lizi Liao, Xiaoyan Zhu +4
Most existing approaches for goal-oriented dialogue policy learning used reinforcement learning, which focuses on the target agent policy and simply treat the opposite agent policy…
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media
Yunshan Ma, Xun Yang, Lizi Liao +2
Fashion knowledge helps people to dress properly and addresses not only physiological needs of users, but also the demands of social activities and conventions. It usually involves…
Automatic Fashion Knowledge Extraction from Social Media
Yunshan Ma, Lizi Liao, Tat-Seng Chua
Fashion knowledge plays a pivotal role in helping people in their dressing. In this paper, we present a novel system to automatically harvest fashion knowledge from social media. I…
Deep Conversational Recommender in Travel
Lizi Liao, Ryuichi Takanobu, Yunshan Ma +3
When traveling to a foreign country, we are often in dire need of an intelligent conversational agent to provide instant and informative responses to our various queries. However,…
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
Xun Yang, Yunshan Ma, Lizi Liao +2
Identifying mix-and-match relationships between fashion items is an urgent task in a fashion e-commerce recommender system. It will significantly enhance user experience and satisf…
Neural Collaborative Filtering
Xiangnan He, Lizi Liao, Hanwang Zhang +3
In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural n…
Attributed Social Network Embedding
Lizi Liao, Xiangnan He, Hanwang Zhang +1
Embedding network data into a low-dimensional vector space has shown promising performance for many real-world applications, such as node classification and entity retrieval. Howev…