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Shuying Yu

CIRF: Constructive interference-based reliable flooding in asynchronous duty-cycle wireless sensor networks
2014 · Shuying Yu, Xiaobing Wu, et al. · IEEE Wireless Communications and Networking Conference · 8
RealControlBench: A Benchmark for Interpretability-Informed Fine-Grained Control of LLMs and Agents
2026 · Cai, Xinying, Hu, Bin, et al. · arXiv (Cornell University)
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Does Latent Chain-of-Thought Actually Reason? A Single, Unifying Taxonomy for Latent Reasoning
2026 · Qiu, Jingjie, Yu, Sheldon, et al. · arXiv (Cornell University)
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Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory
2026 · Guo, Minghao, Jiao, Qingyue, et al. · arXiv (Cornell University)
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Failure Is the Mother of Success: Recovering Supervision with Grounding Hindsight
2026 · Yu, Sheldon, Yu, Tong, et al. · arXiv (Cornell University)
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SonicWorld: Source-Centric Latent Dynamics for Spatial Audio Reasoning
2026 · Wei, Chenlong, Wang, Hanling, et al. · arXiv (Cornell University)
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Agent2UCB: Agentic System for Generative Engine Optimization
2026 · Yu, Sheldon, Wang, Rui, et al. · arXiv (Cornell University)
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Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability
2026 · Zhou, Sizhe, Yu, Sheldon, et al. · arXiv (Cornell University)
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How Hard Does It Think? Analyzing Step-Aware Reasoning Energy in LLM Chain-of-Thought Trajectories
2026 · Wei, Hui, Wu, Junda, et al. · arXiv (Cornell University)
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Can We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation Steering
2026 · Yu, Sheldon, Yu, Tong, et al. · arXiv (Cornell University)
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RRPO: Reference-Relative Policy Optimization with Stratified Conditional Rollouts
2026 · Xiong, Yuxin, Jiang, Xunyi, et al. · arXiv (Cornell University)
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MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization
2026 · Surana, Rohan, Li, Xintong, et al. · arXiv (Cornell University)
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A Low-Latency Fraud Detection Layer for Detecting Adversarial Interaction Patterns in LLM-Powered Agents
2026 · Yu, Sheldon, Sun, Yingcheng, et al. · arXiv (Cornell University)
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Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
2026 · Surana, Rohan, Mundada, Gagan, et al. · arXiv (Cornell University)
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WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning
2026 · Mundada, Gagan, Huang, Zihan, et al. · arXiv (Cornell University)
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OLIVIA: Online Learning via Inference-time Action Adaptation
2026 · Sheldon Yu, Junda Wu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Toward Latent Language Model Skills Steering and Optimization: An Empirical Study
2026 · Xunyi Jiang, Junda Wu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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STARS: State-Aware Reasoning Stopping via Hidden-State Spectral Analysis
2026 · Aaron T. Cheng, Junda Wu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
2025 · Sheldon Yu, Yuxin Xiong, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Towards a Multi-model Views Security Framework
2007 · Lei Xia, Hao Huang, et al. · International Conference on Security and Cryptography
Works count: 21
Citation count: 8
H-index: 1
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