Towards Imaging Large-Scale Ontologies for Quick Understanding and Analysis. - Kewei Tu; Miao Xiong; Lei Zhang 007; Haiping Zhu; Jie Zhang; Yong Yu 001 (ISWC, 2005)

Mining Query Log to Assist Ontology Learning from Relational Database. - Jie Zhang; Miao Xiong; Yong Yu 001 (APWeb, 2006)

Towards Quick Understanding and Analysis of Large-Scale Ontologies. - Miao Xiong; Yifan Chen; Hao Zheng 003; Yong Yu 001 (ASWC, 2006)

Research on Expert Search at Enterprise Track of TREC 2006. - Shenghua Bao; Huizhong Duan; Qi Zhou 001; Miao Xiong; Yong Yu 001; Yunbo Cao (TREC, 2006)

PANTO: A Portable Natural Language Interface to Ontologies. - Chong Wang; Miao Xiong; Qi Zhou 001; Yong Yu 001 (ESWC, 2007)

SPARK: Adapting Keyword Query to Semantic Search. - Qi Zhou 001; Chong Wang; Miao Xiong; Haofen Wang; Yong Yu 001 (ISWC/ASWC, 2007)

A Probabilistic Model for Fine-Grained Expert Search. - Shenghua Bao; Huizhong Duan; Qi Zhou 001; Miao Xiong; Yunbo Cao; Yong Yu 001 (ACL, 2008)

Context-Aware Mechanism for IEEE 802.21 Media Independent Handover. - Miao Xiong; Jiannong Cao 001; Jun Zhang 019 (ICCCN, 2011)

SHAWK: Platform for Secure Integration of Heterogeneous Advanced Wireless Networks. - Jiannong Cao 001; Chisheng Zhang; Jun Zhang 019; Yueming Deng; Xin Xiao 012; Miao Xiong; Jie Zhou; Yang Zou 002; Gang Yao; Wei Feng; Liang Yang; Yao Yu (AINA Workshops, 2012)

A clustering-based context-aware mechanism for IEEE 802.21 Media Independent Handover. - Miao Xiong; Jiannong Cao 001 (WCNC, 2013)

2-D Digital Predistortion Using Vector Quantization Method for Dual-Band Transmitters. - Miao Xiong; Xiaofang Wu; Enfang Guan; Shijun Lin (Wirel. Pers. Commun., 2017)

Design and Evaluation of a Novel and Ultra-Compact Fully-TGV-based Self-Shielding Bandpass Filter for 5G Applications. - Ziyue Zhang; Yingtao Ding; Zhiming Chen 001; Mingrui Zhou; Lei Xiao; Ziru Cai; Miao Xiong; Xiao Gong (3DIC, 2019)

Robust and Task-Aware Training of Deep Residual Networks for Varying-Lead ECG Classification. - Hansheng Ren; Miao Xiong; Bryan Hooi (CinC, 2021)

Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness. - Ailin Deng; Shen Li 004; Miao Xiong; Zhirui Chen; Bryan Hooi (ECCV (13), 2022)

Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. - Miao Xiong; Shen Li 004; Wenjie Feng 001; Ailin Deng; Jihai Zhang 002; Bryan Hooi (Trans. Mach. Learn. Res., 2022)

Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. - Jiaying Wu; Shen Li 004; Ailin Deng; Miao Xiong; Bryan Hooi (CIKM, 2023)

Probabilistic Knowledge Distillation of Face Ensembles. - Jianqing Xu; Shen Li 004; Ailin Deng; Miao Xiong; Jiaying Wu; Jiaxiang Wu 002; Shouhong Ding; Bryan Hooi (CVPR, 2023)

Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. - Ailin Deng; Miao Xiong; Bryan Hooi (ICML, 2023)

GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. - Yuwen Li; Miao Xiong; Bryan Hooi (ICML, 2023)

Proximity-Informed Calibration for Deep Neural Networks. - Miao Xiong; Ailin Deng; Pang Wei W. Koh; Jiaying Wu; Shen Li 004; Jianqing Xu; Bryan Hooi (NeurIPS, 2023)

Proximity-Informed Calibration for Deep Neural Networks. - Miao Xiong; Ailin Deng; Pang Wei Koh; Jiaying Wu; Shen Li 004; Jianqing Xu; Bryan Hooi (CoRR, 2023)

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. - Miao Xiong; Zhiyuan Hu; Xinyang Lu; Yifei Li; Jie Fu 001; Junxian He; Bryan Hooi (ICLR, 2024)

In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. - Shiqi Chen; Miao Xiong; Junteng Liu; Zhengxuan Wu; Teng Xiao; Siyang Gao; Junxian He (ICML, 2024)

ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition. - Jianqing Xu; Shen Li 004; Jiaying Wu; Miao Xiong; Ailin Deng; Jiazhen Ji; Yuge Huang; Guodong Mu; Wenjie Feng 001; Shouhong Ding; Bryan Hooi (NeurIPS, 2024)

ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition. - Shen Li 004; Jianqing Xu; Jiaying Wu; Miao Xiong; Ailin Deng; Jiazhen Ji; Yuge Huang; Wenjie Feng 001; Shouhong Ding; Bryan Hooi (CoRR, 2024)

FlipAttack: Jailbreak LLMs via Flipping. - Yue Liu 008; Xiaoxin He; Miao Xiong; Jinlan Fu; Shumin Deng; Bryan Hooi (CoRR, 2024)

Do LLMs estimate uncertainty well in instruction-following? - Juyeon Heo; Miao Xiong; Christina Heinze-Deml; Jaya Narain (ICLR, 2025)

Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results. - Andrea Santilli; Adam Golinski; Michael Kirchhof; Federico Danieli; Arno Blaas; Miao Xiong; Luca Zappella; Sinead Williamson (CoRR, 2025)

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging. - Shiqi Chen; Jinghan Zhang 006; Tongyao Zhu; Wei Liu 131; Siyang Gao; Miao Xiong; Manling Li; Junxian He (CoRR, 2025)

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research. - Hui Chen; Miao Xiong; Yujie Lu; Wei Han; Ailin Deng; Yufei He; Jiaying Wu; Yibo Li; Yue Liu 008; Bryan Hooi (CoRR, 2025)