Head pose estimation with neural networks from surveillant images. - Yichao Cai 001; Xiao Zhou 006; Dachuan Li; Yifei Ming; Xingang Mou (ICMV, 2018)

Efficient Exploration for Model-based Reinforcement Learning with Continuous States and Actions. - Ying Fan; Yifei Ming (CoRR, 2020)

Model-based Reinforcement Learning for Continuous Control with Posterior Sampling. - Ying Fan; Yifei Ming (ICML, 2021)

On the Impact of Spurious Correlation for Out-of-Distribution Detection. - Yifei Ming; Hang Yin; Yixuan Li 001 (AAAI, 2022)

Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. - Tuan Dinh; Jy-yong Sohn; Shashank Rajput; Timothy Ossowski; Yifei Ming; Junjie Hu 001; Dimitris S. Papailiopoulos; Kangwook Lee 001 (EMNLP (Findings), 2022)

POEM: Out-of-Distribution Detection with Posterior Sampling. - Yifei Ming; Ying Fan; Yixuan Li 001 (ICML, 2022)

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

SIREN: Shaping Representations for Detecting Out-of-Distribution Objects. - Xuefeng Du; Gabriel Gozum; Yifei Ming; Yixuan Li 001 (NeurIPS, 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)

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

Are Vision Transformers Robust to Spurious Correlations? - Soumya Suvra Ghosal; Yifei Ming; Yixuan Li 001 (CoRR, 2022)

A Critical Analysis of Document Out-of-Distribution Detection. - Jiuxiang Gu; Yifei Ming; Yi Zhou; Jason Kuen; Vlad I. Morariu; Handong Zhao; Ruiyi Zhang 002; Nikolaos Barmpalios; Anqi Liu; Yixuan Li 001; Tong Sun 005; Ani Nenkova (EMNLP (Findings), 2023)

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

Domain Generalization via Nuclear Norm Regularization. - Zhenmei Shi; Yifei Ming; Ying Fan; Frederic Sala; Yingyu Liang (CPAL, 2024)

ReweightOOD: Loss Reweighting for Distance-based OOD Detection. - Sudarshan Regmi; Bibek Panthi; Yifei Ming; Prashnna K. Gyawali; Danail Stoyanov; Binod Bhattarai (CVPR Workshops, 2024)

HYPO: Hyperspherical Out-Of-Distribution Generalization. - Haoyue Bai 001; Yifei Ming; Julian Katz-Samuels; Yixuan Li 001 (ICLR, 2024)

Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models. - Yifei Ming; Yixuan Li 001 (ICML, 2024)

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. - Jiayu Wang; Yifei Ming; Zhenmei Shi; Vibhav Vineet; Xin Wang 066; Sharon Li 001; Neel Joshi (NeurIPS, 2024)

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Qing Yu; Go Irie; Yixuan Li 001; Hai Li 001; Ziwei Liu 002; Kiyoharu Aizawa (CoRR, 2024)

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. - Jiayu Wang; Yifei Ming; Zhenmei Shi; Vibhav Vineet; Xin Wang; Neel Joshi (CoRR, 2024)

SFR-RAG: Towards Contextually Faithful LLMs. - Xuan-Phi Nguyen; Shrey Pandit; Senthil Purushwalkam; Austin Xu; Hailin Chen; Yifei Ming; Zixuan Ke; Silvio Savarese; Caiming Xong; Shafiq Joty (CoRR, 2024)

Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction. - Zhenmei Shi; Yifei Ming; Xuan-Phi Nguyen; Yingyu Liang; Shafiq Joty (CoRR, 2024)

How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models? - Yifei Ming; Yixuan Li 001 (Int. J. Comput. Vis., 2024)

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Qing Yu; Go Irie; Yixuan Li 001; Hai Helen Li; Ziwei Liu 002; Kiyoharu Aizawa (ACL (1), 2025)

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings. - Austin Xu; Srijan Bansal; Yifei Ming; Semih Yavuz; Shafiq Joty (ACL (1), 2025)

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". - Yifei Ming; Senthil Purushwalkam; Shrey Pandit; Zixuan Ke; Xuan-Phi Nguyen; Caiming Xiong; Shafiq Joty (ICLR, 2025)

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. - Zixuan Ke; Fangkai Jiao; Yifei Ming; Xuan-Phi Nguyen; Austin Xu; Do Xuan Long; Minzhi Li; Chengwei Qin; Peifeng Wang; Silvio Savarese; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Yueqian Lin; Qing Yu; Go Irie; Shafiq Joty; Yixuan Li 001; Hai Helen Li; Ziwei Liu 002; Toshihiko Yamasaki; et al. (Trans. Mach. Learn. Res., 2025)

Demystifying Domain-adaptive Post-training for Financial LLMs. - Zixuan Ke; Yifei Ming; Xuan-Phi Nguyen; Caiming Xiong; Shafiq Joty (CoRR, 2025)

NAACL2025 Tutorial: Adaptation of Large Language Models. - Zixuan Ke; Yifei Ming; Shafiq Joty (CoRR, 2025)

MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision. - Zixuan Ke; Austin Xu; Yifei Ming; Xuan-Phi Nguyen; Caiming Xiong; Shafiq Joty (CoRR, 2025)

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds. - Yang Guo; Yutian Tao 001; Yifei Ming; Robert D. Nowak; Yingyu Liang (CoRR, 2025)

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows. - Yifei Ming; Zixuan Ke; Xuan-Phi Nguyen; Jiayu Wang; Shafiq Joty (CoRR, 2025)

Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning. - Jiayu Wang; Yifei Ming; Zixuan Ke; Caiming Xiong; Shafiq Joty; Aws Albarghouthi; Frederic Sala (CoRR, 2025)