Get started
Author

Chengxiang Zhuo

Observed names: Zhuo, ChengXiang, Zhuo, Chengxiang
ORCID: 0009-0001-5750-140X
Observed ORCID: 0009-0001-5750-140X
OpenAlex ID: A5021045563
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm
2024 · Yuanzhen Xie, Xinzhou Jin, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 34
PDF
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
2022 · Xiangjin Xie, Yuxin Chen, et al. · Proceedings · 4
PDF
Large-Scale Targeted Marketing by Supervised PageRank with Seeds
2018 · Zhiwei Qin, Chengxiang Zhuo, et al. · Lecture notes in computer science · 3
DynaMoLTV: A Cross-Game Dynamic Mixture Model with Weighted Sub-Distributions for Player Lifetime Value Prediction
2026 · Furen Xu, Jie Zhang, et al. · International World Wide Web Conference (WWW) · 1
VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning
2026 · Siran Chen, Boyu Chen, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
PDF
L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering
2024 · Jin, Xinzhou, Li, Jintang, et al. · arXiv (Cornell University) · 1
PDF
OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities
2023 · Xie, Yuanzhen, Xie, Tao, et al. · arXiv (Cornell University) · 1
PDF
LoopGR: Parameter-Efficient Scaling for Generative Recommendation via Recurrent Depth
2026 · Zhang, Huizhe, Li, Yudong, et al. · arXiv (Cornell University)
PDF
TGR-EvoDAG: A DAG-based Multi-Agent Code Evolution Framework for Generative Recommendation on Tencent
2026 · He, Junlin, Zhu, Junzhang, et al. · arXiv (Cornell University)
PDF
GRIP: Generation and Reasoning for User Profile Completion
2026 · Riwei Lai, Yu Xia, et al. · ACM Conference on Recommender Systems (RecSys)
Preference-Drift-Aware Subsequence Learning and Hierarchical Context Fusion for Long-Sequence Generative Recommendation
2026 · Li, Fei, Gao, Qingyun, et al. · arXiv (Cornell University)
PDF
TGR: Advancing Industrial Recommendation from Generative-Paradigm Ranking toward Unified Generation and Reasoning
2026 · TGR Team, Cheng, Lei, et al. · arXiv (Cornell University)
PDF
G-STAR: Graph-based Scheduling with Trace-driven Adaptive Routing for Industrial LLM-based Multi-Agent Systems
2026 · Jiabao Song, Yu Xia, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
CCFormer: Efficient Cross-Field Interaction and Hierarchical Sequence Compression for Industrial Recommendation at Tencent
2026 · Wang, Yunlong, Zhang, Huizhe, et al. · arXiv (Cornell University)
PDF
Bridging the Structural Gap: Adapting Autoregressive Generation for Recommendation
2026 · Zeng, Junchao, Zhu, Junzhang, et al. · arXiv (Cornell University)
PDF
Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation
2026 · Association for Computational Linguistics 2026, Cheng, Lei, et al. · Underline Science Inc.
SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance-Diversity Data Selection
2026 · Chen, Shuhao, Jiang, Weisen, et al. · arXiv (Cornell University)
PDF
Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation
2026 · Su, Hongyang, Kong, Beibei, et al. · arXiv (Cornell University)
PDF
SAGER: Self-Evolving User Policy Skills for Recommendation Agent
2026 · Tao, Zhen, Lai, Riwei, et al. · arXiv (Cornell University)
PDF
G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation
2026 · Boyu Chen, Siran Chen, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
PDF
When Top-ranked Recommendations Fail: Modeling Multi-Granular Negative Feedback for Explainable and Robust Video Recommendation
2026 · Siran Chen, Boyu Chen, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
PDF
VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning
2026 · Association for Artificial Intelligence 2026, Chen, Siran, et al. · Underline Science Inc.
When Top-ranked Recommendations Fail: Modeling Multi-Granular Negative Feedback for Explainable and Robust Video Recommendation
2026 · Association for Artificial Intelligence 2026, Chen, Siran, et al. · Underline Science Inc.
G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation
2026 · Association for Artificial Intelligence 2026, Chen, Siran, et al. · Underline Science Inc.
STPformer: Mutation-Aware Spatial-Temporal Pivotal Attention Networks for Transformer-Based Traffic Forecasting
2026 · Hongyang Su, Chenyun Yu, et al. · Lecture notes in computer science
Works count: 35
Citation count: 45
H-index: 3
I10-index: 1
Year
Topic
Type