activity
20052023
most citedRealizing Ternary Quantum Switching Networks without Ancilla Bits

34 citations · 38 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2023

Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples

Shuo He, Lei Feng, Guowu Yang

Partial-label learning (PLL) relies on a key assumption that the true label of each training example must be in the candidate label set. This restrictive assumption may be violated…

quant-ph2021

Contextuality in infinite one-dimensional translation-invariant local Hamiltonians: strengths and limits

Kaiyan Yang, Xiao Zeng, Yujing Luo +4

In recent years there has been a growing interest in treating many-body systems as Bell scenarios, where lattice sites play the role of distant parties and only near-neighbor stati…

quant-ph2021★ 1 cited

Low-overhead pieceable fault-tolerant construction of logical controlled-phase circuit for degenerate quantum code

Chen Lin, Guowu Yang

We designed an search algorithm in order to find a non-transversal but fault-tolerant construction of a logical controlled-phase gate for general [[n,1,d]] degenerate quantum code.…

cs.IR2020

Deep Pairwise Hashing for Cold-start Recommendation

Yan Zhang, Ivor W. Tsang, Hongzhi Yin +3

Recommendation efficiency and data sparsity problems have been regarded as two challenges of improving performance for online recommendation. Most of the previous related work focu…

cs.CV2020★ 1 cited

Learning unbiased zero-shot semantic segmentation networks via transductive transfer

Haiyang Liu, Yichen Wang, Jiayi Zhao +2

Semantic segmentation, which aims to acquire a detailed understanding of images, is an essential issue in computer vision. However, in practical scenarios, new categories that are…

cs.CV2020

Learning Cross-domain Semantic-Visual Relationships for Transductive Zero-Shot Learning

Fengmao Lv, Jianyang Zhang, Guowu Yang +3

Zero-Shot Learning (ZSL) learns models for recognizing new classes. One of the main challenges in ZSL is the domain discrepancy caused by the category inconsistency between trainin…