39 citations · 128 across the 13 of their papers we have counts for
14 papers
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Yutong Xia, Yuxuan Liang, Haomin Wen +4
Spatio-Temporal Graph (STG) forecasting is a fundamental task in many real-world applications. Spatio-Temporal Graph Neural Networks have emerged as the most popular method for STG…
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
Haomin Wen, Youfang Lin, Lixia Wu +10
Instant delivery services, such as food delivery and package delivery, have achieved explosive growth in recent years by providing customers with daily-life convenience. An emergin…
XGC-VQA: A unified video quality assessment model for User, Professionally, and Occupationally-Generated Content
Xinhui Huang, Chunyi Li, Abdelhak Bentaleb +2
With the rapid growth of Internet video data amounts and types, a unified Video Quality Assessment (VQA) is needed to inspire video communication with perceptual quality. To meet t…
Get It Scored Using AutoSAS -- An Automated System for Scoring Short Answers
Yaman Kumar, Swati Aggarwal, Debanjan Mahata +3
In the era of MOOCs, online exams are taken by millions of candidates, where scoring short answers is an integral part. It becomes intractable to evaluate them by human graders. Th…
LSTM Networks for Online Cross-Network Recommendations
Dilruk Perera, Roger Zimmermann
Cross-network recommender systems use auxiliary information from multiple source networks to create holistic user profiles and improve recommendations in a target network. However,…
Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations
Dilruk Perera, Roger Zimmermann
The overwhelming volume and complexity of information in online applications make recommendation essential for users to find information of interest. However, two major limitations…
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users
Dilruk Perera, Roger Zimmermann
A major drawback of cross-network recommender solutions is that they can only be applied to users that are overlapped across networks. Thus, the non-overlapped users, which form th…
Lipper: Synthesizing Thy Speech using Multi-View Lipreading
Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik +3
Lipreading has a lot of potential applications such as in the domain of surveillance and video conferencing. Despite this, most of the work in building lipreading systems has been…
Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining
Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh +3
With the multitude of companies and organizations abound today, ranking them and choosing one out of the many is a difficult and cumbersome task. Although there are many available…
Kiki Kills: Identifying Dangerous Challenge Videos from Social Media
Nupur Baghel, Yaman Kumar, Paavini Nanda +3
There has been upsurge in the number of people participating in challenges made popular through social media channels. One of the examples of such a challenge is the Kiki Challenge…
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages
Raghav Kapoor, Yaman Kumar, Kshitij Rajput +3
In multilingual societies like the Indian subcontinent, use of code-switched languages is much popular and convenient for the users. In this paper, we study offense and abuse detec…
Harnessing AI for Speech Reconstruction using Multi-view Silent Video Feed
Yaman Kumar, Mayank Aggarwal, Pratham Nawal +3
Speechreading or lipreading is the technique of understanding and getting phonetic features from a speaker's visual features such as movement of lips, face, teeth and tongue. It ha…
A Multimodal Approach to Predict Social Media Popularity
Mayank Meghawat, Satyendra Yadav, Debanjan Mahata +3
Multiple modalities represent different aspects by which information is conveyed by a data source. Modern day social media platforms are one of the primary sources of multimodal da…
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla +3
The literature in automated sarcasm detection has mainly focused on lexical, syntactic and semantic-level analysis of text. However, a sarcastic sentence can be expressed with cont…