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Wenjing Zhang

LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
2025 · Ping Liu, Haichao Wei, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 23
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A Scalable and Efficient Signal Integration System for Job Matching
2025 · Ping Liu, Rajat Arora, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 7
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SAGE: Scalable AI Governance & Evaluation
2026 · Benjamin H. Le, Xueying Lu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 3
Learning Links for Adaptable and Explainable Retrieval
2024 · Jianqiang Shen, Yuchin Juan, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 3
Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems
2025 · Ping Liu, Jianqiang Shen, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 2
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Scaling Retrieval for Web-Scale Recommenders: Lessons from Inverted Indexes to Embedding Search
2025 · Yuchin Juan, Jianqiang Shen, et al. · ACM Conference on Recommender Systems (RecSys) · 2
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High Fidelity Textual User Representation over Heterogeneous Sources via Reinforcement Learning
2026 · Rajat Arora, Ye Tao, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 1
Semantic Search At LinkedIn
2026 · Fedor Borisyuk, Sriram Vasudevan, et al. · ACM International Conference on Information and Knowledge Management (CIKM)
Embedding Subspace Partitioning for Dynamic Multi-Objective Retrieval
2026 · Shaobo Zhang, Alice Leung, et al. · ACM Conference on Recommender Systems (RecSys)
MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction
2026 · Guoyao Li, Ran He, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
A Unified Structured Query Understanding Framework for Industrial Semantic Search
2026 · Ping Liu, Qianqi Shen, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Policy-Grounded Dynamic Facet Suggestions for Job Search
2026 · Dan Xu, Baofen Zheng, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn
2026 · Dan Xu, Baofen Zheng, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Designing Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search
2026 · Liu, Ping, Shen, Qianqi, et al. · arXiv (Cornell University)
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Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn
2026 · Xu, Dan, Zheng, Baofen, et al. · arXiv (Cornell University)
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HiMPO: Hindsight-Informed Memory Policy Optimization for Less-Entangled Credit in Long-Horizon Agents
2026 · Yan, Jiangze, Shen, Yi, et al. · arXiv (Cornell University)
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A Systematic Security Evaluation of OpenClaw and Its Variants
2026 · Wang, Yuhang, Gao, Haichang, et al. · arXiv (Cornell University)
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AUHead: Realistic Emotional Talking Head Generation via Action Units Control
2026 · Lyu, Jiayi, Qu, Leigang, et al. · arXiv (Cornell University)
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ReCAST: Restoration-aware Cascaded Stage-wise Training for Obfuscated SMS Risk Classification
2026 · Jieyun Huang, Yi Shen, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 19
Citation count: 41
H-index: 3
I10-index: 1
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