activity
20192024
most citedSOFT: Softmax-free Transformer with Linear Complexity

61 citations · 125 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.CL2020★ 18 cited

DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation

Yuzhao Mao, Qi Sun, Guang Liu +4

Emotion Recognition in Conversations (ERC) is essential for building empathetic human-machine systems. Existing studies on ERC primarily focus on summarizing the context informatio…

cs.LG2020

A Partial Regularization Method for Network Compression

E Zhenqian, Gao Weiguo

Deep Neural Networks have achieved remarkable success relying on the developing availability of GPUs and large-scale datasets with increasing network depth and width. However, due…

cs.IT2020★ 2 cited

Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources

Jinchi Chen, Weiguo Gao, Sihan Mao +1

We consider the problem of resolving point sources from samples at the low end of the spectrum when point spread functions (PSFs) are not known. Assuming that the spectrum…

math.NA2020★ 3 cited

Triangularized Orthogonalization-free Method for Solving Extreme Eigenvalue Problems

Weiguo Gao, Yingzhou Li, Bichen Lu

A novel orthogonalization-free method together with two specific algorithms are proposed to solve extreme eigenvalue problems. On top of gradient-based algorithms, the proposed alg…

cs.AI2020

Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion

Jingyuan Yang, Guang Liu, Yuzhao Mao +5

Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end multi-domain dialogue system to accomplish complex users' goals under tourist information desk settings. This pap…

cs.LG2020

An Improving Framework of regularization for Network Compression

E Zhenqian, Gao Weiguo

Deep Neural Networks have achieved remarkable success relying on the developing high computation capability of GPUs and large-scale datasets with increasing network depth and width…