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Tingjiang Wei
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2020 – today
- 2026
[c3]Tingjiang Wei, Qin Ni, Rong Gao, Yingying Wang, Liang He:
MovieGraph-ToM: Evaluating Long-Range Theory of Mind in Large Language Models via Implicit Social-Causal Graphs. AAAI 2026: 33827-33835
[c2]Yingying Wang, Qin Ni, Haoxin Xu, Jiaqi Yin, Tingjiang Wei:
Shaping Human-AI Collaboration in Education: Effects of AI-Assisted Decision-Making Paradigms and Human-AI Decision Consistency on Pre-Service Teachers' Psychological States and Performance. AAAI 2026: 39406-39414- 2025
[j4]Yanhong Bai, Xingjiao Wu, Tingjiang Wei, Liang He
:
A Dual-Encoder Contrastive Learning Model for Knowledge Tracing. Entropy 27(7): 685 (2025)
[j3]Qin Ni
, Yangze Yu
, Yiming Ma
, Xin Lin
, Ciping Deng
, Tingjiang Wei
, Mo Xuan
:
The Social Cognition Ability Evaluation of LLMs: A Dynamic Gamified Assessment and Hierarchical Social Learning Measurement Approach. ACM Trans. Intell. Syst. Technol. 16(6): 135:1-135:20 (2025)
[c1]Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Jinxin Shi, Liang He:
Dynamically Causal-Enhanced Exercise Representations for Adaptive Knowledge Tracing. ICASSP 2025: 1-5- 2024
[j2]Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He:
A survey of explainable knowledge tracing. Appl. Intell. 54(8): 6483-6514 (2024)
[i2]Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He:
A Survey of Explainable Knowledge Tracing. CoRR abs/2403.07279 (2024)- 2023
[j1]Qin Ni
, Tingjiang Wei
, Jiabao Zhao, Liang He, Chanjin Zheng:
HHSKT: A learner-question interactions based heterogeneous graph neural network model for knowledge tracing. Expert Syst. Appl. 215: 119334 (2023)
[i1]Yanhong Bai, Jiabao Zhao, Jinxin Shi, Tingjiang Wei, Xingjiao Wu, Liang He:
FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models. CoRR abs/2308.10397 (2023)
Coauthor Index

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