Cooperative Vision-Based Localization Networks with Communication Constraints. - Fengzhuo Zhang; Kai Gu; Yuan Shen 001 (GLOBECOM, 2019)

An Integrated Framework for Vision-Based Relative Localization and Bandwidth Allocation. - Fengzhuo Zhang; Kai Gu; Yuan Shen 001 (GLOBECOM (Workshops), 2020)

Robustifying Algorithms of Learning Latent Trees with Vector Variables. - Fengzhuo Zhang; Vincent Y. F. Tan (NeurIPS, 2021)

Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. - Fengzhuo Zhang; Boyi Liu 001; Kaixin Wang; Vincent Y. F. Tan; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2022)

Vision-Based Localization in Multi-Agent Networks With Communication Constraints. - Fengzhuo Zhang; Kai Gu; Yuan Shen 001 (IEEE Trans. Veh. Technol., 2022)

Learning Regularized Monotone Graphon Mean-Field Games. - Fengzhuo Zhang; Vincent Y. F. Tan; Zhaoran Wang 001; Zhuoran Yang (NeurIPS, 2023)

Learning Regularized Graphon Mean-Field Games with Unknown Graphons. - Fengzhuo Zhang; Vincent Y. F. Tan; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2023)

Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees. - Fengzhuo Zhang; Anshoo Tandon; Vincent Y. F. Tan (IEEE Trans. Inf. Theory, 2023)

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems. - Jianliang He; Siyu Chen 001; Fengzhuo Zhang; Zhuoran Yang (ICML, 2024)

Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods. - Xinyang Hu; Fengzhuo Zhang; Siyu Chen 001; Zhuoran Yang (CoRR, 2024)

Enhancing Multi-Text Long Video Generation Consistency without Tuning: Time-Frequency Analysis, Prompt Alignment, and Theory. - Xingyao Li; Fengzhuo Zhang; Jiachun Pan; Yunlong Hou 001; Vincent Y. F. Tan; Zhuoran Yang (CoRR, 2024)

What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. - Yufeng Zhang 007; Fengzhuo Zhang; Zhuoran Yang; Zhaoran Wang 001 (AISTATS, 2025)

When Attention Sink Emerges in Language Models: An Empirical View. - Xiangming Gu; Tianyu Pang; Chao Du; Qian Liu 012; Fengzhuo Zhang; Cunxiao Du; Ye Wang 007; Min Lin (ICLR, 2025)

LongSpec: Long-Context Speculative Decoding with Efficient Drafting and Verification. - Penghui Yang 001; Cunxiao Du; Fengzhuo Zhang; Haonan Wang; Tianyu Pang; Chao Du; Bo An 001 (CoRR, 2025)

Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework. - Jing Wang 060; Fengzhuo Zhang; Xiaoli Li 001; Vincent Y. F. Tan; Tianyu Pang; Chao Du; Aixin Sun; Zhuoran Yang (CoRR, 2025)

BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms. - Yunlong Hou 001; Fengzhuo Zhang; Cunxiao Du; Xuan Zhang; Jiachun Pan; Tianyu Pang; Chao Du; Vincent Y. F. Tan; Zhuoran Yang (CoRR, 2025)

Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs. - Xuan Zhang; Cunxiao Du; Sicheng Yu; Jiawei Wu; Fengzhuo Zhang; Wei Gao; Qian Liu 012 (CoRR, 2025)