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Shaojie Jiang
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2020 – today
- 2023
- [j3]Shaojie Jiang, Jiang Wu:
Temporal-geographical attention-based transformer for point-of-interest recommendation. J. Intell. Fuzzy Syst. 45(6): 12243-12253 (2023) - [j2]Shaojie Jiang, Qingbing Sang
, Zongyao Hu, Lixiong Liu
:
Self-Supervised Representation Learning for Video Quality Assessment. IEEE Trans. Broadcast. 69(1): 118-129 (2023) - [c4]Shaojie Jiang
, Svitlana Vakulenko
, Maarten de Rijke
:
Weakly Supervised Turn-level Engagingness Evaluator for Dialogues. CHIIR 2023: 258-268 - 2022
- [i4]Shaojie Jiang, Ruqing Zhang, Svitlana Vakulenko, Maarten de Rijke:
A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration. CoRR abs/2205.02517 (2022) - 2020
- [i3]Shaojie Jiang, Thomas Wolf, Christof Monz, Maarten de Rijke:
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation. CoRR abs/2003.11963 (2020)
2010 – 2019
- 2019
- [c3]Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke
:
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. WWW 2019: 2879-2885 - [i2]Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke:
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. CoRR abs/1902.09191 (2019) - 2018
- [c2]Shaojie Jiang, Maarten de Rijke
:
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. SCAI@EMNLP 2018: 81-86 - [i1]Shaojie Jiang, Maarten de Rijke:
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. CoRR abs/1809.01941 (2018) - 2017
- [j1]Shaojie Jiang, Jifeng Ning, Cheng Cai, Yunsong Li:
Robust Struck tracker via color Haar-like feature and selective updating. Signal Image Video Process. 11(6): 1073-1080 (2017) - 2016
- [c1]Jifeng Ning, Jimei Yang, Shaojie Jiang, Lei Zhang, Ming-Hsuan Yang:
Object Tracking via Dual Linear Structured SVM and Explicit Feature Map. CVPR 2016: 4266-4274
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last updated on 2024-04-25 05:41 CEST by the dblp team
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