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Nikki Lijing Kuang

Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm
2019 · Nikki Lijing Kuang, Clement H.C. Leung · International Conference on Machine Learning and Applications · 13
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Analysis of Evolutionary Behavior in Self-Learning Media Search Engines
2019 · Nikki Lijing Kuang, Leung Clement H.C. · IEEE International Conference on Big Data (BigData) · 4
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Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
2023 · Nikki Lijing Kuang, Ming Yin, et al. · neural information processing systems · 2
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Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation
2019 · Nikki Lijing Kuang, Clement H. C. Leung · Lecture notes in computer science · 2
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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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Giving Credit Where It's Due: Redundancy-Aware Learning for Efficient Reasoning
2026 · Zhou, Yuqing, Wang, Hong, et al. · arXiv (Cornell University)
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Uni-LaDiR: Latent Diffusion Unifies Multimodal Reasoning
2026 · Kang, Haoqiang, Zhang, Yizhe, et al. · arXiv (Cornell University)
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Local Edits, Global Ripples: Replay-Informed Policy Adaptation for Workflow Synthesis
2026 · Mao, Manqing, Wang, Hong, et al. · arXiv (Cornell University)
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ArcticSwarm: Deferring Early Consensus in Long-Horizon Multi-Agent Research
2026 · Yoon, Soyoung, Liu, Boyi, et al. · arXiv (Cornell University)
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Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning
2026 · Zhang, Zheyuan, Mao, Manqing, 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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Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows
2026 · Liu, Tianyang, Xu, Canwen, et al. · arXiv (Cornell University)
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Reinforcement Learning without Ground-Truth Solutions can Improve LLMs
2026 · Lin, Yingyu, Gao, Qiyue, et al. · arXiv (Cornell University)
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Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents
2026 · Hsu, Hao-Lun, Kuang, Nikki Lijing, et al. · arXiv (Cornell University)
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Co-Evolving Skill Generation and Policy Optimization
2026 · Zhang, Zhiwei, Lin, Yudi, et al. · arXiv (Cornell University)
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Residual Skill Optimization for Text-to-SQL Ensembles
2026 · Zhu, Jiongli, Guan, Haoquan, et al. · arXiv (Cornell University)
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Skill-R1: Agent Skill Evolution via Reinforcement Learning
2026 · Vishe, Yash, Surana, Rohan, et al. · arXiv (Cornell University)
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LaDi-RL: Latent Diffusion Reasoning Prevents Entropy Collapse in Reinforcement Learning
2026 · Kang, Haoqiang, Zhang, Yizhe, 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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Learning to Retrieve: Dual-Level Long-Term Memory for Text-to-SQL Agents
2026 · Yibo Wang, Nikki Lijing Kuang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
2025 · Kang, Haoqiang, Zhang, Yizhe, et al. · arXiv (Cornell University)
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Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion
2025 · Huang, Xunpeng, Lin, Yingyu, et al. · arXiv (Cornell University)
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Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization
2024 · Wu, Dongxia, Kuang, Nikki Lijing, et al. · arXiv (Cornell University)
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Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk
2024 · Yuzhou Gu, Nikki Kuang, et al. · neural information processing systems
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Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning
2023 · Karbasi, Amin, Kuang, Nikki Lijing, et al. · arXiv (Cornell University)
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Works count: 27
Citation count: 21
H-index: 2
I10-index: 1
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