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Author

Hejian Sang

Observed name: Sang, Hejian
OpenAlex ID: A5027724386
Semiparametric Fractional Imputation Using Gaussian Mixture Models for Handling Multivariate Missing Data
2020 · Hejian Sang, Jae Kwang Kim, et al. · Journal of the American Statistical Association · 12
Optimal Stratification and Allocation for the June Agricultural Survey
2018 · Jonathan Lisic, Hejian Sang, et al. · Journal of Official Statistics · 8
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An approximate Bayesian inference on propensity score estimation under unit nonresponse
2021 · Hejian Sang, Jae Kwang Kim · Canadian Journal of Statistics · 2
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Semiparametric Fractional Imputation Using Gaussian Mixture Models for Handling Multivariate Missing Data
2018 · Hejian Sang, Kim, Jae Kwang, et al. · arXiv (Cornell University) · 2
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A Profile Likelihood Approach to Semiparametric Estimation with Nonignorable Nonresponse
2018 · Sang, Hejian, Morikawa, Kosuke · arXiv (Cornell University) · 2
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Adaptive Stochastic Gradient Langevin Dynamics: Taming Convergence and Saddle Point Escape Time
2018 · Sang, Hejian, Liu, Jia · arXiv (Cornell University) · 1
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A matching lower bound for the sextic large sieve and structured prime moments
2026 · Xu, Yuanda, Sang, Hejian · arXiv (Cornell University)
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Amplified moments and a refinement of the quasi-Riemann hypothesis
2026 · Xu, Yuanda, Sang, Hejian · arXiv (Cornell University)
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Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning
2026 · Xu, Yuanda, Sang, Hejian, et al. · arXiv (Cornell University)
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AvoKV-E: Payload-Aware KV Cache Eviction for Long Reasoning
2026 · Yu, Han, Zhu, Wenhui, et al. · arXiv (Cornell University)
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LatentPress: Context Compression Beyond Text and Vision
2026 · Xu, Yuanda, Zhou, Zhengze, et al. · arXiv (Cornell University)
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TREK: Distill to Explore, Reinforce to Refine
2026 · Xu, Yuanda, Zhou, Zhengze, et al. · arXiv (Cornell University)
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TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning
2026 · Xu, Yuanda, Zhou, Zhengze, et al. · arXiv (Cornell University)
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Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation
2026 · Association for Computational Linguistics 2026, Abdul-Mageed, Muhammad, et al. · Underline Science Inc.
TIP: Token Importance in On-Policy Distillation
2026 · Xu, Yuanda, Sang, Hejian, et al. · arXiv (Cornell University)
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PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence
2026 · Xu, Yuanda, Sang, Hejian, et al. · arXiv (Cornell University)
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CRISP: Compressed Reasoning via Iterative Self-Policy Distillation
2026 · Sang, Hejian, Xu, Yuanda, et al. · arXiv (Cornell University)
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Overconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement Learning
2026 · Xu, Yuanda, Sang, Hejian, et al. · arXiv (Cornell University)
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Not all tokens are needed(NAT): token efficient reinforcement learning
2026 · Sang, Hejian, Xu, Yuanda, et al. · arXiv (Cornell University)
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AriadneMem: Threading the Maze of Lifelong Memory for LLM Agents
2026 · Zhu, Wenhui, Chen, Xiwen, et al. · arXiv (Cornell University)
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Scaling In-Context Online Learning Capability of LLMs via Cross-Episode Meta-RL
2026 · Lin, Xiaofeng, Zhu, Sirou, et al. · arXiv (Cornell University)
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Large Scale Retrieval for the LinkedIn Feed Using Causal Language Models
2026 · Association for Artificial Intelligence 2026, Akterskii, Andrei, et al. · Underline Science Inc.
Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training
2026 · Yuanda Xu, Hejian Sang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation
2026 · Wei-Rui Chen, Vignesh Kothapalli, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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CE-GAD: Curriculum-Efficient On-Policy Adversarial Distillation of Large Language Models
2026 · Wenhui Zhu, Hejian Sang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 32
Citation count: 27
H-index: 2
I10-index: 1
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