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Yiming Huang 黄奕铭 My name is Yiming Huang (黄奕铭 in Chinese, Tim is my nickname). I am an M.Phil. student at Data Science and Analytics Thrust of The Hong Kong University of Science and Technology, Guangzhou, under the supervision of Prof. Xinlei He and Yi R. (May) Fung. Before that, I received my B.Eng. degree in Software Engineering at School of Computer of Beijing University of Technology, under the supervision of Prof. Xiaodan Zhang. I'm also a high school graduate of Tsinghua University High School. My research interest focuses on Trustworthy AI. The long-term research goal of my study is to analyze and control the most advanced AI algorithms, models, and systems. To be specific, I am exploring the interpretability, robustness, granularity, and generalizability of AI, to cope with the explainability (XAI), safety, privacy, fairness, more refined controllability and human-interactivity problems in AI applications. I think this research goal can also be called as "Analytics and Control of Massive Parameter System". Currently, I am focusing on mechanistic interpretability for safe AI and societal AI. I have wonderful collaborations with Ziyu Zhou@HKUST(GZ) CityMind Lab, Zihao Wang@HKUST EMIA and Biquan Bie. I am also looking forward to more interdisciplinary collaboration in the future.
🚩Top Message: I eagerly anticipate the Ph.D. position in the 26Fall / 27Spring / 27Fall, if you have any ideas or advice, feel free to email me~
✔️News 2025.5.28: Three papers are submitted these days, GOOD! I am coming up with some new idea~
🎉News 2024.12.10: Congratulations to Zihao - Our collaboration work MSV-PCT is accepted by AAAI '25!.
✔️News 2024.8.16: A paper I participated in has been submitted to AAAI '25.
🤩News 2024.5.27: I received official offer of Red Bird Master of Philosophy Program at HKUST(GZ) and I make my final decision to accept it. See you guys in Guangzhou!
🎉News 2024.4.17: Congratulations to Ziyu - His SDformer is accepted by IJCAI '24!. It's really a interesting work!
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Publications(In chronological order, * is equal contribution, [.] is the topic, my newest publication is updating at my Google Scholar) |
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MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds
Zihao Wang, Yiming Huang, Gengyu Lyu, Yucheng Zhao, Ziyu Zhou, Bochen Xie, Zhen Yang, Yongjian Deng AAAI '25 paper [Point Cloud, Multi-View] TL;DR: We propose a novel framework for Point Cloud Salient Object Detection (PCSOD) task, named MSV-PCT. Which leverage efficient multi-sparse-view branches to enhance the performance of transformer-based point cloud backbone on PCSOD task. |
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SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting
Ziyu Zhou, Gengyu Lyu, Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang IJCAI '24 paper / code [Time-Series, Attention] TL;DR: We propose a novel Transformer architecture (named SDformer) for long-term time series forecasting. It is the first time to address the problem of smooth attention distribution when modeling time series data with a large number of variates. |
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Generic Attention-model Explainability by Weighted Relevance Accumulation
Yiming Huang, Aozhe Jia, Xiaodan Zhang, Jiawei Zhang MMAsia '23 (reprentative work of my undergrad research) paper / sildes / video / code [XAI, Attention] TL;DR: This work explores the explainability of multimodal attention by layer-wise relevancy accumulation with attention map, especially stressing the importance of relevancy in residual connection for better explainability. |
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TimesNet-PM2.5: Interpretable TimesNet for Disentangling Intraperiod and Interperiod Variations in PM2.5 Prediction
Yiming Huang*, Ziyu Zhou*, Zihao Wang*, Xiaoying Zhi, Xiliang Liu (*equal contribution) Atmosphere paper [XAI, Time-Series] TL;DR: In this paper, we accomplish task-specific adaption of TimesNet (ICLR '23) named TimesNet-PM2.5. This specialized version improved the performance and interpretability of the PM2.5 prediction of Haikou, Hainan Province. |
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STFM: Enhancing Autism Spectrum Disorder Classification Through Ensemble Learning-Based Fusion of Temporal and Spatial fMRI Patterns
Ziyu Zhou*, Yiming Huang*, Yining Wang*, Yin Liang PRICAI '23 paper [Medical AI, Attention] TL;DR: We propose a Spatio and Temporal framework based on cross-attention for better autism spectrum disorder classification. |
Miscellanea |
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I love biking, although all of my bikes are broken now. My favorite animation: Rebuild of EVANGELION series. I love miHoYo games. My favorite TV series: House of the Dragon. My favorite poem: Sailing to Byzantium. My favorite book:《文学的邀约》. My favorite restaurants: 宜宾招待所，东发道. I have lived in Beijing for more than 10 years and my hometown is Jilin, China. My motto: 缘自尘心起，逆旅天地间。 As its name goes, my WeChat Friend Cycle is only open to friends. But don't worry, maybe you will see it in the future after a long time of acquaintance. In addition, I don't open it to teachers and elders, because some contents may not be serious. |
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