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Author

Hanqing Zeng

Observed name: Zeng, Hanqing
Observed institution: Meta (United States)
ORCID: 0000-0002-2578-2147
Observed ORCID: 0000-0002-2578-2147
OpenAlex ID: A5125406758
Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation
2026 · Ruizhong Qiu, Yinglong Xia, et al. · ACM Conference on Recommender Systems (RecSys)
Self-Evolving Memory for Generative Recommendation
2026 · Lin, Xinyu, Jiang, Zhuosong, et al. · arXiv (Cornell University)
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Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall
2026 · He, Jacqueline, Yen, Howard, et al. · arXiv (Cornell University)
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TARo: Token-level Adaptive Routing for LLM Test-time Alignment
2026 · Association for Computational Linguistics 2026, Fan, Xiangjun, et al. · Underline Science Inc.
DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts
2026 · Feng, Jiarui, Zeng, Hanqing, et al. · arXiv (Cornell University)
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Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback
2026 · Zhang, Weizhi, Yang, Wooseong, et al. · arXiv (Cornell University)
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DUEL: Adversarial Self-Play for Multimodal Reasoning
2026 · Qiu, Lin, Zeng, Hanqing, et al. · arXiv (Cornell University)
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TARo: Token-level Adaptive Routing for LLM Test-time Alignment
2026 · Rai, Arushi, Zhang, Qiang, et al. · arXiv (Cornell University)
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Verifiable Reasoning for LLM-based Generative Recommendation
2026 · Lin, Xinyu, Zeng, Hanqing, et al. · arXiv (Cornell University)
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How to Make LMs Strong Node Classifiers?
2026 · Association for Computational Linguistics 2026, Fu, Dongqi, et al. · Underline Science Inc.
Text Has Curvature
2026 · Grover, Karish, Zeng, Hanqing, et al. · arXiv (Cornell University)
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A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents
2026 · Huang, Wei-Chieh, Zhang, Weizhi, et al. · arXiv (Cornell University)
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Token-Level LLM Collaboration via FusionRoute
2026 · Xiong, Nuoya, Zhou, Yuhang, et al. · arXiv (Cornell University)
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How to Make LMs Strong Node Classifiers?
2026 · Zhe Xu, Kaveh Hassani, et al. · Findings of the Association for Computational Linguistics: EACL
S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning
2025 · Hanqing Zeng, Yinglong Xia, et al. · neural information processing systems
Works count: 15
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