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I am a first-year PhD student at Tianjin University, supervised by Prof. Changqing Zhang. Currently, I am at an internship at Tencent AI Lab, co-supervised by Yatao Bian . I received my Bachelor's degree in School of Computer Science and Technology from Tianjin University (2018-2022). After that, I pursued my Master's in the School of Computer Science and Technology at Tianjin University and transitioned into a Ph.D. candidate through the direct doctoral program in 2024. |
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[2025-01] One paper accepted by ICLR, thanks to all co-authors! [2024-05] One paper accepted by NeurIPS, thanks to all co-authors! [2024-05] We release a survey about fusion of low-quality multi-modal data! [arXiv] [2024-04] Starting an internship at Tencent AI Lab, superivsed by Yatao Bian. [2023-04] Two paper accepted by ICML including one Oral paper, thanks to all co-authors. [2022-06] Graduate from Tianjin University. |
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Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang arXiv / awesome list A systematical survey about fusion of low-quality multi-modal data. |
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Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu and Changqing Zhang NeurIPS, 2024 arXiv / code Solve conflicts between OOD detection and generalization for dual-optimal performance. |
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Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng ICML, 2023 arXiv / code Theory-inspired dynimical fuse strategy for quality-varying modalities in real world. |
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Huan Ma, Qingyang Zhang (co-first author), Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu ICML, 2023 arXiv / code Mitigate the greedy nature of multimodal learning by regularizing the model confidence. |
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Conference Reviewer: ICLR 2022-2024, NeurIPS 2023-2024, ICML 2024 |
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National Scholarship (twice, 1%) 2022, 2023 |
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Updated at Dec. 2024
Thanks Jon Barron for this amazing template.
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