Tianyi Zhou

@inproceedings{li2026skip-a-layer-or,
  title = {{Skip a Layer or Loop It? Learning Program-of-Layers in LLMs}},
  author = {Li, Ziyue and Li, Yang and Zhou, Tianyi},
  booktitle = {Forty-third International Conference on Machine Learning (ICML)},
  year = {2026},
}

@inproceedings{wang2026westworld-a-knowledge-encoded,
  title = {{WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems}},
  author = {Wang, Yuchen and Kong, Jiangtao and Wei, Sizhe and Li, Xiaochang and Lin, Haohong and Zhao, Hongjue and Zhou, Tianyi and Gan, Lu and Shao, Huajie},
  booktitle = {Forty-third International Conference on Machine Learning (ICML)},
  year = {2026},
}

@inproceedings{li2026schoenfeld-s-anatomy-of,
  title = {{Schoenfeld's Anatomy of Mathematical Reasoning by Language Models}},
  author = {Li, Ming and Fan, Chenrui and Cheng, Yize and Feizi, Soheil and Zhou, Tianyi},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2026},
}

@inproceedings{zhou2025wall-e-world-alignment,
  title = {{WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents}},
  author = {Zhou, Siyu and Zhou, Tianyi and Yang, Yijun and Long, Guodong and Ye, Deheng and Jiang, Jing and Zhang, Chengqi},
  booktitle = {The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2025},
}

@inproceedings{li2025what-happened-in-llms,
  title = {{What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective}},
  author = {Li, Ming and Li, Yanhong and Zhou, Tianyi},
  booktitle = {The 63rd Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2025},
}

@inproceedings{li2025your-mixture-of-experts,
  title = {{Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free}},
  author = {Li, Ziyue and Zhou, Tianyi},
  booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
  year = {2025},
}

@inproceedings{li2024superfiltering-weak-to-strong,
  title = {{Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning}},
  author = {Li, Ming and Zhang, Yong and He, Shwai and Li, Zhitao and Zhao, Hongyu and Wang, Jianzong and Cheng, Ning and Zhou, Tianyi},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2024},
}

@inproceedings{chen2024instructzero-efficient-instruction-optimization,
  title = {{InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models}},
  author = {Chen, Lichang and Chen, Jiuhai and Huang, Heng and Goldstein, Tom and Zhou, Tianyi},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
}

@inproceedings{yang2024embodied-multi-modal-agent,
  title = {{Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld}},
  author = {Yang, Yijun and Zhou, Tianyi and Li, Kanxue and Tao, Dapeng and Li, Lusong and Shen, Li and He, Xiaodong and Jiang, Jing and Shi, Yuhui},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
}

@article{chen2025blip3-o-a-family,
  title = {{BLIP3-o: A Family of Fully Open Unified Multimodal Models -- Architecture, Training and Dataset}},
  author = {Chen, Jiuhai and Xu, Zhiyang and Pan, Xichen and Hu, Yushi and Qin, Can and Goldstein, Tom and Huang, Lifu and Zhou, Tianyi and Xie, Saining and Savarese, Silvio and Xue, Le and Xiong, Caiming and Xu, Ran},
  journal = {arXiv preprint arXiv:2505.09568},
  year = {2025},
}

@inproceedings{guan2024hallusionbench-an-advanced-diagnostic,
  title = {{HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models}},
  author = {Guan, Tianrui and Liu, Fuxiao and Wu, Xiyang and Xian, Ruiqi and Li, Zongxia and Liu, Xiaoyu and Wang, Xijun and Chen, Lichang and Huang, Furong and Yacoob, Yaser and Manocha, Dinesh and Zhou, Tianyi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
}

@inproceedings{tan2022fedproto-federated-prototype-learning,
  title = {{FedProto: Federated Prototype Learning across Heterogeneous Clients}},
  author = {Tan, Yue and Long, Guodong and Liu, Lu and Zhou, Tianyi and Lu, Qinghua and Jiang, Jing and Zhang, Chengqi},
  booktitle = {The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
}

@inproceedings{shen2018disan-directional-self-attention,
  title = {{DiSAN: Directional self-attention network for rnn/cnn-free language understanding}},
  author = {Shen, Tao and Zhou, Tianyi and Long, Guodong and Jiang, Jing and Pan, Shirui and Zhang, Chengqi},
  booktitle = {The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA},
  year = {2018},
}

@inproceedings{zhou2011godec-randomized-low-rank,
  title = {{GoDec: Randomized Low-rank \& Sparse Matrix Decomposition in Noisy Case}},
  author = {Zhou, Tianyi and Tao, Dacheng},
  booktitle = {Twenty-Eighth International Conference on Machine Learning (ICML), Bellevue, WA, USA},
  year = {2011},
}