Faster R-CNN based autonomous navigation for vehicles in warehouse. - Yiyou Sun; Tonghua Su; Zhiying Tu (AIM, 2017)

Interpretable Basis Decomposition for Visual Explanation. - Bolei Zhou; Yiyou Sun; David Bau; Antonio Torralba 001 (ECCV (8), 2018)

Revisiting the Importance of Individual Units in CNNs via Ablation. - Bolei Zhou; Yiyou Sun; David Bau; Antonio Torralba 001 (CoRR, 2018)

The Periodic Table of Data Structures. - Stratos Idreos; Kostas Zoumpatianos; Manos Athanassoulis; Niv Dayan; Brian Hentschel; Michael S. Kester; Demi Guo; Lukas M. Maas; Wilson Qin; Abdul Wasay; Yiyou Sun (IEEE Data Eng. Bull., 2018)

Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks. - Yiyou Sun; Sathya N. Ravi; Vikas Singh (ICCV, 2019)

Learning Data Structure Alchemy. - Stratos Idreos; Kostas Zoumpatianos; Subarna Chatterjee; Wilson Qin; Abdul Wasay; Brian Hentschel; Mike S. Kester; Niv Dayan; Demi Guo; Minseo Kang; Yiyou Sun (IEEE Data Eng. Bull., 2019)

ReAct: Out-of-distribution Detection With Rectified Activations. - Yiyou Sun; Chuan Guo 001; Yixuan Li 001 (NeurIPS, 2021)

On the Effectiveness of Sparsification for Detecting the Deep Unknowns. - Yiyou Sun; Yixuan Li 001 (CoRR, 2021)

DICE: Leveraging Sparsification for Out-of-Distribution Detection. - Yiyou Sun; Yixuan Li 001 (ECCV (24), 2022)

Out-of-Distribution Detection with Deep Nearest Neighbors. - Yiyou Sun; Yifei Ming; Xiaojin Zhu 001; Yixuan Li 001 (ICML, 2022)

Delving into Out-of-Distribution Detection with Vision-Language Representations. - Yifei Ming; Ziyang Cai; Jiuxiang Gu; Yiyou Sun; Wei Li; Yixuan Li 001 (NeurIPS, 2022)

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. - Jingkang Yang; Pengyun Wang; Dejian Zou; Zitang Zhou; Kunyuan Ding; Wenxuan Peng; Haoqi Wang; Guangyao Chen; Bo Li 080; Yiyou Sun; Xuefeng Du; Kaiyang Zhou; et al. (NeurIPS, 2022)

CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection. - Yifei Ming; Yiyou Sun; Ousmane Dia; Yixuan Li 001 (CoRR, 2022)

Open-world Contrastive Learning. - Yiyou Sun; Yixuan Li 001 (CoRR, 2022)

Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment. - Yiyou Sun; Yaojie Liu; Xiaoming Liu; Yixuan Li 001; Wen-Sheng Chu (CVPR, 2023)

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? - Yifei Ming; Yiyou Sun; Ousmane Dia; Yixuan Li 001 (ICLR, 2023)

When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. - Yiyou Sun; Zhenmei Shi; Yingyu Liang; Yixuan Li 001 (ICML, 2023)

Dream the Impossible: Outlier Imagination with Diffusion Models. - Xuefeng Du; Yiyou Sun; Jerry Zhu; Yixuan Li 001 (NeurIPS, 2023)

A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. - Yiyou Sun; Zhenmei Shi; Yixuan Li 001 (NeurIPS, 2023)

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection. - Jingyang Zhang; Jingkang Yang; Pengyun Wang; Haoqi Wang; Yueqian Lin; Haoran Zhang; Yiyou Sun; Xuefeng Du; Kaiyang Zhou; Wayne Zhang 001; Yixuan Li 001; Ziwei Liu 002; et al. (CoRR, 2023)

Dream the Impossible: Outlier Imagination with Diffusion Models. - Xuefeng Du; Yiyou Sun; Xiaojin Zhu 001; Yixuan Li 001 (CoRR, 2023)

Detecting and Learning Out-of-Distribution Data in the Open world: Algorithm and Theory. - Yiyou Sun (CoRR, 2023)

OpenCon: Open-world Contrastive Learning. - Yiyou Sun; Yixuan Li 001 (Trans. Mach. Learn. Res., 2023)

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? - Soumya Suvra Ghosal; Yiyou Sun; Yixuan Li 001 (AAAI, 2024)

When and How Does In-Distribution Label Help Out-of-Distribution Detection? - Xuefeng Du; Yiyou Sun; Yixuan Li 001 (ICML, 2024)

DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton. - Yiyou Sun; Junjie Hu; Wei Cheng 002; Haifeng Chen (ICML, 2024)

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration. - Xiaogen Zhon; Yiyou Sun; Min Deng; Winnie Chiu Wing Chu; Qi Dou 001 (MICCAI (1), 2024)

Uncertainty Quantification for In-Context Learning of Large Language Models. - Chen Ling 003; Xujiang Zhao; Xuchao Zhang; Wei Cheng 002; Yanchi Liu; Yiyou Sun; Mika Oishi; Takao Osaki; Katsushi Matsuda; Jie Ji; Guangji Bai; Liang Zhao 002; et al. (NAACL-HLT, 2024)

Revisiting Score Propagation in Graph Out-of-Distribution Detection. - Longfei Ma; Yiyou Sun; Kaize Ding; Zemin Liu; Fei Wu 001 (NeurIPS, 2024)

DALD: Improving Logits-based Detector without Logits from Black-box LLMs. - Cong Zeng; Shengkun Tang; Xianjun Yang; Yuanzhou Chen; Yiyou Sun; Zhiqiang Xu; Yao Li 015; Haifeng Chen; Wei Cheng 002; Dongkuan Xu (NeurIPS, 2024)

Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton. - Yiyou Sun; Junjie Hu; Wei Cheng 002; Haifeng Chen (CoRR, 2024)

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. - Chen Ling 003; Xujiang Zhao; Wei Cheng 002; Yanchi Liu; Yiyou Sun; Xuchao Zhang; Mika Oishi; Takao Osaki; Katsushi Matsuda; Jie Ji; Guangji Bai; Liang Zhao 002; et al. (CoRR, 2024)

Improving Logits-based Detector without Logits from Black-box LLMs. - Cong Zeng; Shengkun Tang; Xianjun Yang; Yuanzhou Chen; Yiyou Sun; Zhiqiang Xu; Yao Li 015; Haifeng Chen; Wei Cheng 002; Dongkuan Xu (CoRR, 2024)

Scattered Forest Search: Smarter Code Space Exploration with LLMs. - Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei Cheng 002 (CoRR, 2024)

SAUP: Situation Awareness Uncertainty Propagation on LLM Agent. - Qiwei Zhao; Xujiang Zhao; Yanchi Liu; Wei Cheng 002; Yiyou Sun; Mika Oishi; Takao Osaki; Katsushi Matsuda; Huaxiu Yao; Haifeng Chen (CoRR, 2024)

Uncertainty Propagation on LLM Agent. - Qiwei Zhao; Dong Li; Yanchi Liu; Wei Cheng 002; Yiyou Sun; Mika Oishi; Takao Osaki; Katsushi Matsuda; Huaxiu Yao; Chen Zhao; Haifeng Chen; Xujiang Zhao (ACL (1), 2025)

Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content. - Haoyue Bai 002; Yiyou Sun; Wei Cheng 002; Haifeng Chen (CVPR, 2025)

Chain-of-region: Visual Language Models Need Details for Diagram Analysis. - Xue Li; Yiyou Sun; Wei Cheng 002; Yinglun Zhu; Haifeng Chen (ICLR, 2025)

SFS: Smarter Code Space Search improves LLM Inference Scaling. - Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei Cheng 002 (ICLR, 2025)

Can LLMs Design Good Questions Based on Context? - Yueheng Zhang; Xiaoyuan Liu; Yiyou Sun; Atheer Alharbi; Hend Alzahrani; Basel Alomair; Dawn Song (CoRR, 2025)

Climbing the Ladder of Reasoning: What LLMs Can-and Still Can't-Solve after SFT? - Yiyou Sun; Georgia Zhou; Hao Wang 112; Dacheng Li; Nouha Dziri; Dawn Song (CoRR, 2025)

Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations. - Yiyou Sun; Yu Gai; Lijie Chen 001; Abhilasha Ravichander; Yejin Choi 001; Dawn Song (CoRR, 2025)

OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization. - Yiyou Sun; Shawn Hu; Georgia Zhou; Ken Zheng; Hannaneh Hajishirzi; Nouha Dziri; Dawn Song (CoRR, 2025)

MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them. - Weichen Zhang; Yiyou Sun; Pohao Huang; Jiayue Pu; Heyue Lin; Dawn Song (CoRR, 2025)