Xuechen Zhang - RankMe

20 papers A* 7Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG. CoRR Xuechen Zhang, Koustava Goswami, Samet Oymak, Jiasi Chen, Nedim Lipka
2025	J	`jnl`	BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning. CoRR Xuechen Zhang, Zijian Huang, Yingcong Li, Chenshun Ni, Jiasi Chen, Samet Oymak
2025	A*	`conf`	Demo: L3GS: Layered 3D Gaussian Splats for Efficient 3D Scene Delivery. MobiCom Zheng Li, Bernard Yap, Xuechen Zhang, Yi-Zhen Tsai, Jiasi Chen
2025	J	`jnl`	Making Small Language Models Efficient Reasoners: Intervention, Supervision, Reinforcement. CoRR Xuechen Zhang, Zijian Huang, Chenshun Ni, Ziyang Xiong, Jiasi Chen, Samet Oymak
2024	A*	`conf`	A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions. AAAI Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs, Samet Oymak, Fabio Pasqualetti
2024	A*	`conf`	Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. AAAI Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
2024	J	`jnl`	Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. CoRR Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
2024	A*	`conf`	Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning. NeurIPS Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen
2024	A*	`conf`	Selective Attention: Enhancing Transformer through Principled Context Control. NeurIPS Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit K. Roy-Chowdhury, Jiasi Chen, Samet Oymak
2024	J	`jnl`	Selective Attention: Enhancing Transformer through Principled Context Control. CoRR Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit K. Roy-Chowdhury, Jiasi Chen, Samet Oymak
2024	J	`jnl`	TREACLE: Thrifty Reasoning via Context-Aware LLM and Prompt Selection. CoRR Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen
2023	J	`jnl`	FedYolo: Augmenting Federated Learning with Pretrained Transformers. CoRR Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit K. Roy-Chowdhury, Ananda Theertha Suresh, Samet Oymak
2023	—	`conf`	Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. L4DC Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti
2023	J	`jnl`	Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. CoRR Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti
2023	A*	`conf`	Max-Margin Token Selection in Attention Mechanism. NeurIPS Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
2023	J	`jnl`	Max-Margin Token Selection in Attention Mechanism. CoRR Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
2023	—	`conf`	Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations. EMS@SIGCOMM Xuechen Zhang, Zheng Li, Samet Oymak, Jiasi Chen
2022	J	`jnl`	AutoBalance: Optimized Loss Functions for Imbalanced Data. CoRR Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
2021	A*	`conf`	AutoBalance: Optimized Loss Functions for Imbalanced Data. NeurIPS Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
2021	J	`jnl`	Post-hoc Models for Performance Estimation of Machine Learning Inference. CoRR Xuechen Zhang, Samet Oymak, Jiasi Chen