👨🎓 Biography
I am currently a visiting PhD researcher at 🇺🇸 Stanford University. Additionally, I am pursuing my PhD at the 🇭🇰 Hong Kong Polytechnic University. My supervisor is Prof.Man-Wai Mak. My research focuses on robust speaker representation learning and machine learning.
I have received my master’s degree in 🇨🇳 Xinjiang Key Laboratory of Multilingual Information Technology at Xinjiang University. My supervisor is Prof. Wushour Silamu, the Academician of the Chinese Academy of Engineering. My research interests are Natural Language Processing(NLP) and multilingual public opinion analysis, especially in Uyghur. I have been exploring some works related to Uyghur NLP since September 2018. I am working on NLP between Low-Resource minority Languages (LRLs) and Morphologically Rich minority Languages (MRLs). I was working on identifying sensitive and harmful information in social media posts made in low-resource languages (e.g., Uyghur).
You are more than what you have become!
📰 News
04/12/2024 Our paper, “Enhancing Multimodal Rumor Detection with Statistical Image Features and Modal Alignment via Contrastive Learning,” received the Best Student Paper Runner-Up Award at PRICAI 2024.
17/06/2024 Paper Sharing Session I gave a talk on Parameter-efficient Fine-tuning of Speaker-Aware Dynamic Prompts for Speaker Verification at the paper share session of InterSpeech 2024.
03/04/2024 Paper Sharing Session I gave a talk on Dual Parameter-Efficient Fine-Tuning for Speaker Representation via Speaker Prompt Tuning and Adapters at the paper share session of ICASSP 2024.
08/12/2023 I gave a talk on Maximal Speaker Separability via Robust Speaker Representation Learning, National Conference on Man-Machine Speech Communication, NCMMSC2023, Soochow, China, Dec 2023
03/12/2023 I gave a talk on Maximal Speaker Separability via Contrastive Learning with Angular Margin and Class-Aware Attention for Hard Samples, The International Doctoral Forum 2023, Hong Kong SAR, Dec 2023
15/05/2023 Paper Sharing Session I gave a talk on Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space at the paper presentation session of ICASSP 2023.
11/09/2022 [Speaker of Participant Talk] I delivered an oral report about Speaker Representation Learning via Contrastive Loss with Maximal Speaker Separability in APSIPA ASC 2022.
01/07/2022 Speaker of Participant Talk I take a shared talk about speaker verification as Speaker of Participant talk in Odyssey-CNSRC Workshop 2022.
29/05/2021 Finally, I did it! I have completed my master’s oral examination!
14/11/2020 CAAI Award I have won the Excellent Scientific and Technological Achievements Award of the Chinese Association for Artificial Intelligence.
29/10/2020 Video We have updated CCL2020 oral presentation video.
11/10/2020 Video We have updated CCMT2020 oral presentation video.