Guo, Tianyu

30 publications

NeurIPS 2025 BRACE: A Benchmark for Robust Audio Caption Quality Evaluation Tianyu Guo, Hongyu Chen, Hao Liang, Meiyi Qiang, Bohan Zeng, Linzhuang Sun, Bin Cui, Wentao Zhang

NeurIPS 2025 DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism HongXin Xu, Tianyu Guo, Xianwei Zhang

NeurIPS 2025 Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers Yixiao Huang, Hanlin Zhu, Tianyu Guo, Jiantao Jiao, Somayeh Sojoudi, Michael I. Jordan, Stuart Russell, Song Mei

AAAI 2025 L-Man: A Large Multi-Modal Model Unifying Human-Centric Tasks Jialong Zuo, Ying Nie, Tianyu Guo, Huaxin Zhang, Jiahao Hong, Nong Sang, Changxin Gao, Kai Han

ICML 2025 MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles Jing Han, Binwei Yan, Tianyu Guo, Zheyuan Bai, Mengyu Zheng, Hanting Chen, Ying Nie

NeurIPSW 2024 Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs Tianyu Guo, Druv Pai, Yu Bai, Jiantao Jiao, Michael Jordan, Song Mei

ICML 2024 Collaborative Heterogeneous Causal Inference Beyond Meta-Analysis Tianyu Guo, Sai Praneeth Karimireddy, Michael Jordan

NeurIPS 2024 Cross-Video Identity Correlating for Person Re-Identification Pre-Training Jialong Zuo, Ying Nie, Hanyu Zhou, Huaxin Zhang, Haoyu Wang, Tianyu Guo, Nong Sang, Changxin Gao

NeurIPS 2024 Enhancing Large Language Models Through Adaptive Tokenizers Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang

ICLR 2024 How Do Transformers Learn In-Context Beyond Simple Functions? a Case Study on Learning with Representations Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai

AAAI 2024 Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation Tianyu Guo, Haowei Wang, Yiwei Ma, Jiayi Ji, Xiaoshuai Sun

ICML 2024 SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation Danni Yang, Jiayi Ji, Yiwei Ma, Tianyu Guo, Haowei Wang, Xiaoshuai Sun, Rongrong Ji

CVPR 2024 UFineBench: Towards Text-Based Person Retrieval with Ultra-Fine Granularity Jialong Zuo, Hanyu Zhou, Ying Nie, Feng Zhang, Tianyu Guo, Nong Sang, Yunhe Wang, Changxin Gao

ACML 2023 A Multi-Surrogate Assisted Salp Swarm Feature Selection Algorithm with Multi-Population Adaptive Generation Strategy for Classification Zikang Yu, Hongbin Dong, Tianyu Guo, Bingxu Zhao

TMLR 2023 Deep Plug-and-Play Clustering with Unknown Number of Clusters An Xiao, Hanting Chen, Tianyu Guo, Qinghua Zhang, Yunhe Wang

ICCV 2023 FSAR: Federated Skeleton-Based Action Recognition with Adaptive Topology Structure and Knowledge Distillation Jingwen Guo, Hong Liu, Shitong Sun, Tianyu Guo, Min Zhang, Chenyang Si

NeurIPSW 2023 How Do Transformers Learn In-Context Beyond Simple Functions? a Case Study on Learning with Representations Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai

NeurIPS 2023 PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang

NeurIPS 2023 Towards Higher Ranks via Adversarial Weight Pruning Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang

NeurIPS 2023 What Can a Single Attention Layer Learn? a Study Through the Random Features Lens Hengyu Fu, Tianyu Guo, Yu Bai, Song Mei

NeurIPS 2023 When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation Xinhong Ma, Yiming Wang, Hao Liu, Tianyu Guo, Yunhe Wang

AAAI 2022 Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding

AAAI 2022 Pose-Guided Feature Disentangling for Occluded Person Re-Identification Based on Transformer Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi

AAAI 2021 Adversarial Robustness Through Disentangled Representations Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu

CVPR 2021 Learning Student Networks in the Wild Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang

CVPR 2021 Pre-Trained Image Processing Transformer Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao

AAAI 2020 Learning Student Networks with Few Data Shumin Kong, Tianyu Guo, Shan You, Chang Xu

NeurIPS 2019 Learning from Bad Data via Generation Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

AAAI 2019 Smooth Deep Image Generator from Noises Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

AAAI 2018 Reinforced Multi-Label Image Classification by Exploring Curriculum Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao