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Conferences
Chenyi Zhuang
14 papers at tracked venues · 12 at CORE A* · active 2024–2026
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Venues
AAAI
×3
SIGKDD
×3
ACL
×2
ACM MM
×1
CVPR
×1
NeurIPS
×1
RecSys
×1
SDM
×1
WWW
×1
Frequent coauthors
Maolin Wang
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×2
Bingguang Hao
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Zhiwen Tan
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Yidan Wang
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Hongxuan Zhang
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Pengyang Shao
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Qingguo Liu
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Chengyue Yu
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Sheng Zhang
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Yanchu Guan
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Yao Zhao
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Zhitian Xie
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Papers
BalanceSFT: Improving LLM Function Calling with Balanced Training Signals and Data Hardness
ACL 2026
·
Bingguang Hao
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RAG-R1: Incentivizing the Search and Reasoning Capabilities of LLMs Through Multi-Query Parallelism
AAAI 2026
·
Zhiwen Tan
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AlignCAT: Visual-Linguistic Alignment of Category and Attribute for Weakly Supervised Visual Grounding
ACM MM 2025
·
Yidan Wang
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CSR: Achieving 1 Bit Key-Value Cache via Sparse Representation
AAAI 2025
·
Hongxuan Zhang
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Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education
SIGKDD 2025
·
Pengyang Shao
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CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
CVPR 2024
·
Qingguo Liu
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CharPoet: A Chinese Classical Poetry Generation System Based on Token-free LLM
ACL 2024
·
Chengyue Yu
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DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
RecSys 2024
·
Sheng Zhang
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Intelligent Agents with LLM-based Process Automation
SIGKDD 2024
·
Yanchu Guan
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Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation
WWW 2024
·
Maolin Wang
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Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy
SIGKDD 2024
·
Yao Zhao
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Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
NeurIPS 2024
·
Chenyi Zhuang
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts
AAAI 2024
·
Zhitian Xie
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Tensorized Hypergraph Neural Networks
SDM 2024
·
Maolin Wang
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