Yu, Tianshu

1. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
   2025/08/08 by Team, GLM-4. 5 Team, : +357 · 21 voices · 131 citations
   Computer Science · #Cognitive Computing and Networks #Distributed and Parallel Computing Systems #Rough Sets and Fuzzy Logic #cs.CL
2. Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
   2023/05/19 by Tianshu Yu, Yu, Tianshu, Haoyu Gao +15 · 4 citations
   Computer Science · #Topic Modeling #Speech and dialogue systems #Natural Language Processing Techniques
3. ASP: Learn a Universal Neural Solver!
   2023/03/01 by Chenguang Wang, Wang, Chenguang, Zhouliang Yu +7 · 3 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Metaheuristic Optimization Algorithms Research #Optimization and Control (math.OC) #Vehicle Routing Optimization Methods
4. Towards Robust Multimodal Sentiment Analysis with Incomplete Data
   2024/09/30 by Haoyu Zhang, Wenbin Wang, Zhang, Haoyu +3 · 5 citations
   Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimedia (cs.MM) #Sentiment Analysis and Opinion Mining
5. Combinatorial Learning of Graph Edit Distance via Dynamic Embedding
   2020/11/30 by Runzhong Wang, Wang, Runzhong, Tianqi Zhang +7 · 2 citations
   Computer Science · #Graph Theory and Algorithms #Advanced Graph Neural Networks #Data Management and Algorithms
6. Efficient Training of Multi-task Neural Solver for Combinatorial Optimization
   2023/05/10 by Wang, Chenguang, Fu, Zhang-Hua, Lu, Pinyan +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. Graph Learning with Distributional Edge Layouts
   2024/02/26 by Xinjian Zhao, Zhao, Xinjian, Chaolong Ying +3 · 1 citation
   Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Face and Expression Recognition
8. Towards Principled Task Grouping for Multi-Task Learning
   2024/02/23 by Wang, Chenguang, Pan, Xuanhao, Yu, Tianshu · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
   2024/02/23 by Zhao, Weichen, Wang, Chenguang, Wang, Xinyan +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers
    2024/11/14 by Pan, Xuanhao, Wang, Chenguang, Ying, Chaolong +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
11. Boosting Protein Language Models with Negative Sample Mining
    2024/05/28 by Xu, Yaoyao, Zhao, Xinjian, Song, Xiaozhuang +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
12. Learning What to Trust: Bayesian Prior-Guided Optimization for Visual Generation
    2025/11/24 by Liu, Ruiying, Liang, Yuanzhi, Huang, Haibin +2 · 1 citation
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics