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Hantian Ding

ECNet is an evolutionary context-integrated deep learning framework for protein engineering
2021 · Yunan Luo, Guangde Jiang, et al. · Nature Communications · 173
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Multi-lingual Evaluation of Code Generation Models
2022 · Athiwaratkun, Ben, Gouda, Sanjay Krishna, et al. · arXiv (Cornell University) · 38
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CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
2023 · Yangruibo Ding, Zijian Wang, et al. · neural information processing systems · 37
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SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition
2019 · Hongming Zhang, Hantian Ding, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 27
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Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering
2020 · Yunan Luo, Lam Vo, et al. · Lecture notes in computer science · 14
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Exploring Continual Learning for Code Generation Models
2023 · Prateek Yadav, Qing Sun, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 13
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Towards Open-Domain Topic Classification
2022 · Hantian Ding, Jinrui Yang, et al. · 11
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Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops
2023 · Aurélie C. Lozano, Hantian Ding, et al. · BMC Bioinformatics · 9
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A Static Evaluation of Code Completion by Large Language Models
2023 · Hantian Ding, Varun Kumar, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 8
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Code Representation Learning At Scale
2024 · Zhang, Dejiao, Ahmad, Wasi, et al. · arXiv (Cornell University) · 2
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Exploring Continual Learning for Code Generation Models
2023 · Yadav, Prateek, Sun, Qing, et al. · arXiv (Cornell University) · 1
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Muse Glimmer 30B: An On-Device Agentic Model
2026 · Abtahizadeh, Arash Ebrahim, Aghamelu, Muna, et al. · arXiv (Cornell University)
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E2E-SWE: Benchmarking LLMs on Building Working Codebases from Scratch
2026 · Ding, Hantian, Bi, Chloe, et al. · arXiv (Cornell University)
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Planning-Aware Code Infilling via Horizon-Length Prediction
2025 · Yifeng Ding, Hantian Ding, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Learning Code Preference via Synthetic Evolution
2024 · Liu, Jiawei, Nguyen, Thanh, et al. · arXiv (Cornell University)
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Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs
2024 · Athiwaratkun, Ben, Gonugondla, Sujan Kumar, et al. · arXiv (Cornell University)
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Towards Open-Domain Topic Classification
2023 · Ding, Hantian, Yang, Jinrui, et al. · arXiv (Cornell University)
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A Static Evaluation of Code Completion by Large Language Models
2023 · Ding, Hantian, Kumar, Varun, et al. · arXiv (Cornell University)
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Machine learning for biological networks
2020 · Hantian Ding · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
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蛋白質工学のための進化的文脈統合ディープシーケンスモデリング【jst・京大機械翻訳】
2020 · Luo Yunan, Vo Lam, et al. · Lecture notes in computer science
Works count: 26
Citation count: 334
H-index: 8
I10-index: 7
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