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Author

Jiachuan Wang

Observed names: WANG, Jiachuan, Wang, Jiachuan
ORCID: 0000-0001-6473-8221
Observed ORCID: 0000-0001-6473-8221
OpenAlex ID: A5013205685
Demand-aware route planning for shared mobility services
2020 · Jiachuan Wang, Peng Cheng, et al. · Proceedings of the VLDB Endowment · 56
Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server
2021 · Maocheng Li, Jiachuan Wang, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 28
Online Ridesharing with Meeting Points
2022 · Jiachuan Wang, Peng Cheng, et al. · Proceedings of the VLDB Endowment · 16
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Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising
2023 · Jiachuan Wang, Shimin Di, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 15
A Dataset for Investigations of Amine-Impregnated Solid Adsorbent for Direct Air Capture
2025 · Eryu Wang, Liping Luo, et al. · Scientific Data · 10
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A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting
2022 · Jiachuan Wang, Lei Chen, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 10
Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning
2025 · Tong Li, Jiachuan Wang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 3
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Cross-Domain-Aware Worker Selection with Training for Crowdsourced Annotation
2024 · Yushi Sun, Jiachuan Wang, et al. · IEEE International Conference on Data Engineering (ICDE) · 3
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Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
2024 · Jiachuan Wang, Shimin Di, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2
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D-MGN: A Distributed Mesh Graph Neural Network for Scalable Engineering Simulation
2025 · Fu Lin, Jiasheng Shi, et al. · IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW) · 1
Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference
2025 · Xiao, Qingfa, Wang, Jiachuan, et al. · arXiv (Cornell University) · 1
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Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server
2021 · Li, Maocheng, Wang, Jiachuan, et al. · arXiv (Cornell University) · 1
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Hypergraph-Enhanced Evidence Selection for Long-Context Multimodal Document QA
2026 · Zhao, Wenxin, Wang, Jiachuan, et al. · arXiv (Cornell University)
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Learning Multimodal Embeddings with Evidence-Aligned Readout
2026 · Chen, Zirong, Ye, Fuda, et al. · arXiv (Cornell University)
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TEAR: Table Extraction with Attribute Recommendation from Texts via Large Language Models
2026 · Li, Tong, Ding, Shuye, et al. · arXiv (Cornell University)
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Context-Driven Incremental Compression for Multi-Turn Dialogue Generation
2026 · Jung, Yeongseo, Kim, Jaehyeok, et al. · arXiv (Cornell University)
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BubbleRAG: Interactive Cognitive Offloading with Thought Bubble in Retrieval-Augmented Generation
2026 · Association for Computational Linguistics 2026, Chen, Lei, et al. · Underline Science Inc.
Efficient Zero-Shot and Label-free Log Anomaly Detection for Resource-Constrained Systems
2026 · Zuohan Wu, Jiachuan Wang, et al. · IEEE International Conference on Data Engineering (ICDE)
Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models
2026 · Jialiang Wang, Hanmo Liu, et al. · ACM International Conference on Web Search and Data Mining (WSDM)
Learning to Compose for Cross-domain Agentic Workflow Generation
2026 · Wang, Jialiang, Xu, Shengxiang, et al. · arXiv (Cornell University)
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RxnNano:Training Compact LLMs for Chemical Reaction and Retrosynthesis Prediction via Hierarchical Curriculum Learning
2026 · Li, Ran, Di, Shimin, et al. · arXiv (Cornell University)
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BubbleRAG: Interactive Cognitive Offloading with Thought Bubble in Retrieval-Augmented Generation
2026 · Fuda Ye, Jiachuan Wang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
2025 · Wang, Jialiang, Liu, Hanmo, et al. · arXiv (Cornell University)
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Learning Towards Emergence: Paving the Way to Induce Emergence by Inhibiting Monosemantic Neurons on Pre-trained Models
2025 · Wang, Jiachuan, Di, Shimin, et al. · arXiv (Cornell University)
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Structuring Benchmark into Knowledge Graphs to Assist Large Language Model in Retrieving and Desiging Models
2025 · LIU, Hanmo, DI, Shimin, et al. · Rare & Special e-Zone (The Hong Kong University of Science and Technology)
Works count: 29
Citation count: 146
H-index: 6
I10-index: 6
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