activity
20142026
most citedThe near room-temperature upsurge of electrical resistivity in Lu-H-N is not superconductivity, but a metal-to-poor-conductor transition

43 citations · 157 across the 30 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cond-mat.supr-con2021★ 8 cited

Quasi-uniaxial pressure induced superconductivity in stoichiometric compound UTe

Chongli Yang, Jing Guo, Yazhou Zhou +14

The recent discovery of superconductivity in heavy Fermion compound UTe2, a candidate topological and triplet-paired superconductor, has aroused widespread interest. However, to da…

cond-mat.supr-con2021★ 2 cited

Observation of nearly identical superconducting transition temperatures in pressurized Weyl semimetal MIrTe4 (M=Nb and Ta)

Sijin Long, Shu Cai, Rico Schonemann +13

Here we report the observation of pressure-induced superconductivity in type-II Weyl semimetal (WSM) candidate NbIrTe4 and the evolution of its Hall coefficient (RH), magnetoresist…

cs.CV2021

Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention

Wei Suo, Mengyang Sun, Peng Wang +1

Referring Expression Comprehension (REC) has become one of the most important tasks in visual reasoning, since it is an essential step for many vision-and-language tasks such as vi…

cs.CV2021★ 1 cited

Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads

Chenyu Gao, Qi Zhu, Peng Wang +1

Vision-and-Language (VL) pre-training has shown great potential on many related downstream tasks, such as Visual Question Answering (VQA), one of the most popular problems in the V…

cs.CV2021★ 8 cited

Diagnosing Vision-and-Language Navigation: What Really Matters

Wanrong Zhu, Yuankai Qi, Pradyumna Narayana +6

Vision-and-language navigation (VLN) is a multimodal task where an agent follows natural language instructions and navigates in visual environments. Multiple setups have been propo…

stat.ML2021

Robust Orthogonal Machine Learning of Treatment Effects

Yiyan Huang, Cheuk Hang Leung, Qi Wu +1

Causal learning is the key to obtaining stable predictions and answering \textit{what if} problems in decision-makings. In causal learning, it is central to seek methods to estimat…