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Liangcai Su

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
2023 · Kelong Mao, Jieming Zhu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 104
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Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction
2022 · He Li, Xuejiao Li, et al. · ACM Transactions on Intelligent Systems and Technology · 49
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
2024 · Liangcai Su, Junwei Pan, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 35
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DetectorNet
2021 · He Li, Shiyu Zhang, et al. · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · 24
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PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
2022 · Yi Li, Jieming Zhu, et al. · International World Wide Web Conference (WWW) · 13
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BARS: Towards Open Benchmarking for Recommender Systems
2022 · Zhu, Jieming, Dai, Quanyu, et al. · arXiv (Cornell University) · 12
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GraphSANet: A Graph Neural Network and Self Attention Based Approach for Spatial Temporal Prediction in Sensor Network
2020 · He Li, Shiyu Zhang, et al. · IEEE International Conference on Big Data (BigData) · 8
A Survey of Generative Techniques for Spatial-Temporal Data Mining
2024 · Zhang, Qianru, Wang, Haixin, et al. · arXiv (Cornell University) · 6
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A Survey of Generative Techniques for Spatial-Temporal Data Mining
2026 · Qianru Zhang, Haixin Wang, et al. · Data Science and Engineering · 3
An Efficient Method for Graph Repartitioning in Distributed Environments
2020 · He LI, YanNa LIU, et al. · IEICE Transactions on Information and Systems · 3
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HTN-Orchestrate: A Hierarchical Task Network Framework for Multi-Agent Orchestration
2026 · Deng, Yanchen, Huang, Jianguo, et al. · arXiv (Cornell University)
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SWE-Test: Benchmarking LLM Vulnerability Discovery via Input Prediction
2026 · Shi, Yuanxiang, Lin, Jiayi, et al. · arXiv (Cornell University)
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FrontierChallenge: Evaluating Scientific Workflow Completion
2026 · Su, Liangcai, Feng, Zhaopeng, et al. · arXiv (Cornell University)
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Specializing Language Models for Textual Fuzzing via Reinforcement Learning
2026 · Jiayi Lin, Liangcai Su, et al. · IEEE Symposium on Security and Privacy (S&P)
Argus: Evidence Assembly for Scalable Deep Research Agents
2026 · Zhang, Zhen, Su, Liangcai, et al. · arXiv (Cornell University)
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MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome
2026 · Ye, Fangda, Hu, Yuxin, et al. · arXiv (Cornell University)
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GMP: A Benchmark for Content Moderation under Co-occurring Violations and Dynamic Rules
2026 · Dong, Houde, She, Yifei, et al. · arXiv (Cornell University)
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AutoForge: Automated Environment Synthesis for Agentic Reinforcement Learning
2026 · Shihao Cai, Runnan Fang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents
2026 · Zhaopeng Feng, Liangcai Su, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation
2025 · Ye, Kai, Su, Liangcai, et al. · arXiv (Cornell University)
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How Far Are We from True Unlearnability?
2025 · Ye, Kai, Su, Liangcai, et al. · arXiv (Cornell University)
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CONGRA: Benchmarking Automatic Conflict Resolution
2024 · Zhang, Qingyu, Su, Liangcai, et al. · arXiv (Cornell University)
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Works count: 24
Citation count: 257
H-index: 7
I10-index: 6
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