activity
20192023
most citedSparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval

59 citations · 68 across the 8 of their papers we have counts for

collaborators

8 papers

cs.IT2023

RECIPE: Rateless Erasure Codes Induced by Protocol-Based Encoding

Jingfan Meng, Ziheng Liu, Yiwei Wang +1

LT (Luby transform) codes are a celebrated family of rateless erasure codes (RECs). Most of existing LT codes were designed for applications in which a centralized encoder possesse…

quant-ph2022

Benchmarking Quantum(-inspired) Annealing Hardware on Practical Use Cases

Tian Huang, Jun Xu, Tao Luo +3

Quantum(-inspired) annealers show promise in solving combinatorial optimisation problems in practice. There has been extensive researches demonstrating the utility of D-Wave quantu…

cs.IR2022★ 1 cited

A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems

Yan Lyu, Sunhao Dai, Peng Wu +7

Accurate recommendation and reliable explanation are two key issues for modern recommender systems. However, most recommendation benchmarks only concern the prediction of user-item…

cs.MM2021

A Multi-user Oriented Live Free-viewpoint Video Streaming System Based On View Interpolation

Jingchuan Hu, Shuai Guo, Kai Zhou +3

As an important application form of immersive multimedia services, free-viewpoint video(FVV) enables users with great immersive experience by strong interaction. However, the compu…

eess.IV2021★ 3 cited

NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement

Hao Hou, Yingkun Hou, Yuxuan Shi +2

Retinex model has been applied to low-light image enhancement in many existing methods. More appropriate decomposition of a low-light image can help achieve better image enhancemen…

cs.IR2020★ 59 cited

SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval

Yang Bai, Xiaoguang Li, Gang Wang +6

Term-based sparse representations dominate the first-stage text retrieval in industrial applications, due to its advantage in efficiency, interpretability, and exact term matching.…