activity
20182024
most citedLogician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction

10 citations · 25 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2024

MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data

Miao Fan, Jizhou Huang, An Zhuo +3

The value assessment of private properties is an attractive but challenging task which is widely concerned by a majority of people around the world. A prolonged topic among us is `…

cs.CL2024★ 1 cited

Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features

Miao Fan, Yeqi Bai, Mingming Sun +1

Relation classification (RC) plays a pivotal role in both natural language understanding and knowledge graph completion. It is generally formulated as a task to recognize the relat…

cs.IR2024★ 3 cited

MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search

Miao Fan, Jiacheng Guo, Shuai Zhu +3

Baidu runs the largest commercial web search engine in China, serving hundreds of millions of online users every day in response to a great variety of queries. In order to build a…

cs.CR2022★ 3 cited

Under-confidence Backdoors Are Resilient and Stealthy Backdoors

Minlong Peng, Zidi Xiong, Quang H. Nguyen +3

By injecting a small number of poisoned samples into the training set, backdoor attacks aim to make the victim model produce designed outputs on any input injected with pre-designe…

stat.ML2020★ 1 cited

Identification of Matrix Joint Block Diagonalization

Yunfeng Cai, Ping Li

Given a set of square matrices, the matrix blind joint block diagonalization problem (BJBDP) is to find a full column rank matrix such that $C_i=A…

cs.LG2020★ 3 cited

Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum

Jerry Chee, Ping Li

Convergence detection of iterative stochastic optimization methods is of great practical interest. This paper considers stochastic gradient descent (SGD) with a constant learning r…