🍻 Welcome stranger
- 🎓: A Ph.D graduated from University of Science and Technology of China (USTC).
- 🎯: Interested in NLP & Education area. Mainly Focusing on Hierarchical Multi-label Classification Tasks.
- 👾: I'm a die-hard fan of the Fallout ☢️ and Witcher 🐺 series, and I especially love CRPG games & indie games. Feel free to add my Steam.
🧰 My Projects
- 🛠 Multi-label Classification: a collection of deep neural network models for beginners, designed to solve Multi-label Classification problems, built in TensorFlow.
- 🛠 Semantic Textual Similarity: a collection of deep neural network models for beginners, designed to solve Semantic Textual Similarity problems, built in TensorFlow.
- 📚 Question Difficulty Prediction: a collection of deep neural network models for Question Difficulty Prediction problems, built in TensorFlow & PyTorch.
- 🍻 HARNN: an attention-based recurrent network Approach for Hierarchical Multi-label Text Classification (HMC), accepted at CIKM 2019 and built in TensorFlow. [Papers] | [Code]
- 🍻 HmcNet: a general approach that incorporates both explicit and implicit class hierarchy constraints, designed to solve Hierarchical Multi-label Text Classification (HMC), accepted at TKDE 2022 and built in PyTorch. [Papers] | [Code]
- 🍻 HMNet: a multi-modal method that captures class dependencies to solve Educational Video Concept Prediction problems, accepted at JMLC 2023. [Papers]
🎉 News
- [2025 Feb] Got ambushed by Benny... again in Fallout: New Vegas! "Patrolling the Mojave" turned into a 17th playthrough—still can’t decide if I'm Caesar's worst nightmare or Yes Man's personal errand courier. Obsidian's spaghetti code? Still a masterpiece.
- [2024 Oct] Dodging reality in Metaphor: ReFantazio, who needs sleep when there's another 100-hour persona-esque journey to binge?！
- [2023 Aug] Gods Among Us, Baldur's Gate 3!
- [2023 Jun] I've suffered in the Darkest Dungeon, and no one is spared!
- [2023 May] I've been engrossed in the The Legend of Zelda: Tears of the Kingdom, Nintendo rules the fxxking world!
- [2023 Apr] I've cleared Octopath Traveler II, スクエニさん、さすがかよ!
All Works
- Xinyun He, Qi Shu, Mo Zhang, Wei Huang, Han Zhao, Mengxiao Zhu. Beyond Final Products: Multi-Dimensional Essay Scoring Using Keystroke Logs and Deep Learning [C] LAK'2025, 2025: 601-610.
- Mengxiao Zhu, Xin Wang, Xiantao Wang, Zihang Chen, Wei Huang. Application of Prompt Learning Models in Identifying the Collaborative Problem Solving Skills in an Online Task [J] CSCW'2024, 8(CSCW2): 1-23.
- Dongxuan Han, Qi Liu, Siqi Lei, Shiwei Tong, Wei Huang. HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis [C] CIKM'2024, 2024: 768-777.
- Hong Yuting, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, et al. Search-Efficient Computerized Adaptive Testing [C] CIKM'2023, 2023: 773-782.
- Wei Huang, Tong Xiao, Qi Liu, Zhenya Huang, et al. HMNet: A Hierarchical Multi-modal Network for Educational Video Concept Prediction [J] JMLC'2023, 14(9): 2913-2924.
- Wei Huang, Enhong Chen, Qi Liu, Hui Xiong, Zhenya Huang, Shiwei Tong, et al. HmcNet: A General Approach for Hierarchical Multi-label Classification [J] TKDE'2022, 35(9): 8713-8728.
- Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, et al. Monitoring Student Progress for Learning Process-consistent Knowledge Tracing [J] TKDE'2022, 35(8): 8213-8227.
- Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, et al. HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework [C] KDD'2022, 2022: 904-913.
- Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, et al. Incremental Cognitive Diagnosis for Intelligent Education [C] KDD'2022, 2022: 1760-1770.
- Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang and Runlong Yu. Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction [C] SIGIR'2022, 2022: 2195-2200.
- Zheng Gong, Shiwei Tong, Han Wu, Qi Liu, Hanqing Tao, Wei Huang, et al. Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation [C] DASFAA'2022, 2022: 213-221.
- Siqi Lei, Wei Huang, Shiwei Tong, Qi Liu, Zhenya Huang, Enhong Chen, et al. Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System [C] Best Student Paper, ICBK'2021, 2021: 1-8.
- Ye Huang, Wei Huang, Shiwei Tong, et al. STAN: Adversarial Network for Cross-domain Question Difficulty Prediction [C] ICDM'2021, 2021: 220-229.
- Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, et al. Learning Process-consistent Knowledge Tracing [C] KDD'2021, 2021: 1452-1460.
- Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang, Item Response Ranking for Cognitive Diagnosis [C] IJCAI'2021, 2021: 1750-1756.
- Wei Tong, Shiwei Tong, Wei Huang, et al. Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems [C] ICDM'2020, 2020: 1298-1303.
- Shiwei Tong, Qi Liu, Wei Huang, et al. Structure-based Knowledge Tracing: An Influence Propagation View [C] ICDM'2020, 2020: 541-550.
- Xin Wang, Wei Huang, Qi Liu, et al. Fine-Grained Similarity Measurement between Educational Videos and Exercises [C] ACM MM'2020, 2020: 331-339.
- Yang Liu, Zhi Li, Wei Huang, Tong Xu, Enhong Chen. Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation [J] JCST'2020, 35(2), 281–294.
- Wei Huang, Qi Liu, Enhong Chen, et al. Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach [C] CIKM’2019, 2019: 1051-1060.