activity
20172023
most citedNAIS: Neural Attentive Item Similarity Model for Recommendation

592 citations · 1.3k across the 14 of their papers we have counts for

collaborators

15 papers

cs.CV2023

Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization

Zhenguang Liu, Xinyang Yu, Ruili Wang +8

The self-media era provides us tremendous high quality videos. Unfortunately, frequent video copyright infringements are now seriously damaging the interests and enthusiasm of vide…

cs.CR2023★ 3 cited

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair

Peng Qian, Rui Cao, Zhenguang Liu +6

Decentralized Finance (DeFi) is emerging as a peer-to-peer financial ecosystem, enabling participants to trade products on a permissionless blockchain. Built on blockchain and smar…

cs.LG2023★ 22 cited

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting

Xu Liu, Yutong Xia, Yuxuan Liang +7

Road traffic forecasting plays a critical role in smart city initiatives and has experienced significant advancements thanks to the power of deep learning in capturing non-linear p…

cs.IR2023★ 1 cited

CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation

Haonan Hu, Dazhong Rong, Jianhai Chen +2

The cold-start problem is quite challenging for existing recommendation models. Specifically, for the new items with only a few interactions, their ID embeddings are trained inadeq…

cs.CR2023★ 5 cited

Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting

Zhenguang Liu, Peng Qian, Jiaxu Yang +4

Blockchain smart contracts have given rise to a variety of interesting and compelling applications and emerged as a revolutionary force for the Internet. Quite a few practitioners…

cs.CR2022★ 14 cited

Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methods

Zhengjie Huang, Zhenguang Liu, Jianhai Chen +4

With the popularity of cryptocurrencies and the remarkable development of blockchain technology, decentralized applications emerged as a revolutionary force for the Internet. Meanw…

cs.CR2022

Smart Contract Vulnerability Detection Technique: A Survey

Peng Qian, Zhenguang Liu, Qinming He +3

Smart contract, one of the most successful applications of blockchain, is taking the world by storm, playing an essential role in the blockchain ecosystem. However, frequent smart…

cs.CV2022★ 3 cited

Invariant Feature Learning for Generalized Long-Tailed Classification

Kaihua Tang, Mingyuan Tao, Jiaxin Qi +2

Existing long-tailed classification (LT) methods only focus on tackling the class-wise imbalance that head classes have more samples than tail classes, but overlook the attribute-w…

cs.CV2021★ 11 cited

Deep Dual Consecutive Network for Human Pose Estimation

Zhenguang Liu, Haoming Chen, Runyang Feng +4

Multi-frame human pose estimation in complicated situations is challenging. Although state-of-the-art human joints detectors have demonstrated remarkable results for static images,…

cs.IR2021★ 579 cited

Learning Intents behind Interactions with Knowledge Graph for Recommendation

Xiang Wang, Tinglin Huang, Dingxian Wang +4

Knowledge graph (KG) plays an increasingly important role in recommender systems. A recent technical trend is to develop end-to-end models founded on graph neural networks (GNNs).…

cs.CV2020★ 23 cited

Zero-Shot Multi-View Indoor Localization via Graph Location Networks

Meng-Jiun Chiou, Zhenguang Liu, Yifang Yin +2

Indoor localization is a fundamental problem in location-based applications. Current approaches to this problem typically rely on Radio Frequency technology, which requires not onl…

cs.GT2019★ 1 cited

A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers

Jianhai Chen, Deshi Ye, Shouling Ji +3

Demand response (DR) is not only a crucial solution to the demand side management but also a vital means of electricity market in maintaining power grid reliability, sustainability…

cs.IR2018★ 592 cited

NAIS: Neural Attentive Item Similarity Model for Recommendation

Xiangnan He, Zhankui He, Jingkuan Song +3

Item-to-item collaborative filtering (aka. item-based CF) has been long used for building recommender systems in industrial settings, owing to its interpretability and efficiency i…

cs.DC2018★ 1 cited

Rapido: A Layer2 Payment System for Decentralized Currencies

Changting Lin, Ning Ma, Xun Wang +3

Bitcoin blockchain faces the bitcoin scalability problem, for which bitcoin's blocks contain the transactions on the bitcoin network. The on-chain transaction processing capacity o…

cs.HC2017★ 3 cited

I Ate This: A Photo-based Food Journaling System with Expert Feedback

Shubham Goyal, Qi Liu, Khairina Tajul-Arifin +3

What we eat is one of the most frequent and important health decisions we make in daily life, yet it remains notoriously difficult to capture and understand. Effective food journal…