activity
20182023
most citedLearning to Generate Questions by Learning What not to Generate

105 citations · 215 across the 10 of their papers we have counts for

collaborators

10 papers

cond-mat.mtrl-sci2023

Ni-O-Ag catalyst enables 103-m artificial photosynthesis with >16% solar-to-chemical energy conversion efficiency

Yaguang Li, Fanqi Meng, Qixuan Wu +8

Herein, NiO nanosheets supported with Ag single atoms are synthesized for photothermal CO2 hydrogenation to achieve 1065 mmol g h of CO production rate under 1 sun ir…

cs.AI2022★ 2 cited

R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning

Shengyao Lu, Bang Liu, Keith G. Mills +2

Systematicity, i.e., the ability to recombine known parts and rules to form new sequences while reasoning over relational data, is critical to machine intelligence. A model with st…

cs.LG2021

TAG: Toward Accurate Social Media Content Tagging with a Concept Graph

Jiuding Yang, Weidong Guo, Bang Liu +6

Although conceptualization has been widely studied in semantics and knowledge representation, it is still challenging to find the most accurate concept phrases to characterize the…

cs.CL2019★ 39 cited

Multiresolution Graph Attention Networks for Relevance Matching

Ting Zhang, Bang Liu, Di Niu +2

A large number of deep learning models have been proposed for the text matching problem, which is at the core of various typical natural language processing (NLP) tasks. However, e…

cs.CL2019★ 105 cited

Learning to Generate Questions by Learning What not to Generate

Bang Liu, Mingjun Zhao, Di Niu +4

Automatic question generation is an important technique that can improve the training of question answering, help chatbots to start or continue a conversation with humans, and prov…

cs.CE2018★ 14 cited

House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis

Bang Liu, Borislav Mavrin, Di Niu +1

Online real-estate information systems such as Zillow and Trulia have gained increasing popularity in recent years. One important feature offered by these systems is the online hom…

math.NA2018

Recover Fine-Grained Spatial Data from Coarse Aggregation

Bang Liu, Borislav Mavrin, Linglong Kong +1

In this paper, we study a new type of spatial sparse recovery problem, that is to infer the fine-grained spatial distribution of certain density data in a region only based on the…

cs.IR2018★ 28 cited

Growing Story Forest Online from Massive Breaking News

Bang Liu, Di Niu, Kunfeng Lai +2

We describe our experience of implementing a news content organization system at Tencent that discovers events from vast streams of breaking news and evolves news story structures…

cs.CL2018★ 21 cited

Matching Natural Language Sentences with Hierarchical Sentence Factorization

Bang Liu, Ting Zhang, Fred X. Han +3

Semantic matching of natural language sentences or identifying the relationship between two sentences is a core research problem underlying many natural language tasks. Depending o…

cs.CL2018★ 6 cited

Matching Article Pairs with Graphical Decomposition and Convolutions

Bang Liu, Di Niu, Haojie Wei +4

Identifying the relationship between two articles, e.g., whether two articles published from different sources describe the same breaking news, is critical to many document underst…