73 citations · 137 across the 17 of their papers we have counts for
17 papers
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In
Zichun Yu, Chenyan Xiong, Shi Yu +1
Retrieval augmentation can aid language models (LMs) in knowledge-intensive tasks by supplying them with external information. Prior works on retrieval augmentation usually jointly…
P^3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning
Xiaomeng Hu, Shi Yu, Chenyan Xiong +3
Compared to other language tasks, applying pre-trained language models (PLMs) for search ranking often requires more nuances and training signals. In this paper, we identify and st…
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction
Arnav V. Malawade, Shih-Yuan Yu, Brandon Hsu +3
In autonomous vehicles (AVs), early warning systems rely on collision prediction to ensure occupant safety. However, state-of-the-art methods using deep convolutional networks eith…
Graph Learning for Cognitive Digital Twins in Manufacturing Systems
Trier Mortlock, Deepan Muthirayan, Shih-Yuan Yu +2
Future manufacturing requires complex systems that connect simulation platforms and virtualization with physical data from industrial processes. Digital twins incorporate a physica…
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
Arnav Vaibhav Malawade, Shih-Yuan Yu, Brandon Hsu +3
Recently, road scene-graph representations used in conjunction with graph learning techniques have been shown to outperform state-of-the-art deep learning techniques in tasks inclu…
HW2VEC: A Graph Learning Tool for Automating Hardware Security
Shih-Yuan Yu, Rozhin Yasaei, Qingrong Zhou +2
The time-to-market pressure and continuous growing complexity of hardware designs have promoted the globalization of the Integrated Circuit (IC) supply chain. However, such globali…
Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning
Haoran Wang, Shi Yu
Machine Learning (ML) has been embraced as a powerful tool by the financial industry, with notable applications spreading in various domains including investment management. In thi…
Few-Shot Conversational Dense Retrieval
Shi Yu, Zhenghao Liu, Chenyan Xiong +2
Dense retrieval (DR) has the potential to resolve the query understanding challenge in conversational search by matching in the learned embedding space. However, this adaptation is…
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning
Jerry Zikun Chen, Shi Yu, Haoran Wang
Query reformulation aims to alter noisy or ambiguous text sequences into coherent ones closer to natural language questions. This is to prevent errors from propagating in a client-…
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
Chenyan Xiong, Zhenghao Liu, Si Sun +7
Neural rankers based on deep pretrained language models (LMs) have been shown to improve many information retrieval benchmarks. However, these methods are affected by their the cor…
Learning Risk Preferences from Investment Portfolios Using Inverse Optimization
Shi Yu, Haoran Wang, Chaosheng Dong
The fundamental principle in Modern Portfolio Theory (MPT) is based on the quantification of the portfolio's risk related to performance. Although MPT has made huge impacts on the…
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
Shih-Yuan Yu, Arnav V. Malawade, Deepan Muthirayan +2
Despite impressive advancements in Autonomous Driving Systems (ADS), navigation in complex road conditions remains a challenging problem. There is considerable evidence that evalua…
Few-Shot Generative Conversational Query Rewriting
Shi Yu, Jiahua Liu, Jingqin Yang +4
Conversational query rewriting aims to reformulate a concise conversational query to a fully specified, context-independent query that can be effectively handled by existing inform…
Eigendecomposition of Q in Equally Constrained Quadratic Programming
Shi Yu
When applying eigenvalue decomposition on the quadratic term matrix in a type of linear equally constrained quadratic programming (EQP), there exists a linear mapping to project op…
A Financial Service Chatbot based on Deep Bidirectional Transformers
Shi Yu, Yuxin Chen, Hussain Zaidi
We develop a chatbot using Deep Bidirectional Transformer models (BERT) to handle client questions in financial investment customer service. The bot can recognize 381 intents, and…
Pykg2vec: A Python Library for Knowledge Graph Embedding
Shih Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo +2
Pykg2vec is an open-source Python library for learning the representations of the entities and relations in knowledge graphs. Pykg2vec's flexible and modular software architecture…
Analysing Motifs in Multilayer Networks
Lu Zhong, Qingpeng Zhang, Dong Yang +2
Network motifs can capture basic interaction patterns and inform the functional properties of networks. However, real-world complex systems often have multiple types of relationshi…