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Zhenyue Qin
Researcher
Media Analytics
About
Zhenyue Qin is a Researcher at NEC Laboratories America in San Jose, where he works in the Media Analytics group. He holds a B.S. (First Class Honours) in Computer Science and a Ph.D. in Computer Vision and Machine Learning, both from The Australian National University, and was a Postdoctoral Associate at Yale University. His research covers computer vision, multimodal large language models, autonomous driving, and embodied AI, with publications at AI conferences and journals such as CVPR, EMNLP, AAAI, WACV, NAACL, and TNNLS.
Publications
Contact Us
Princeton Office
4 Independence Way, Suite 200
Princeton, NJ 08540
+1 609-520-1555
San Jose Office
2033 Gateway Place, Suite 200
San Jose, CA 95110
+1 408-863-6007
About Us
NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.
Recent Publications
- Object-Aware 4D Human Motion Generation
- EditGRPO: Reinforcement Learning with Post-Rollout Edits for Clinically Accurate Chest X-Ray Report Generation
- Visual Alignment of Medical Vision-Language Models for Grounded Radiology Report Generation
- Quantitative Bounds for Length Generalization in Transformers
- Sound Event Classification meets Data Assimilation with Distributed Fiber-Optic Sensing
- SlideCraft: Context-aware Slides Generation Agent
- TalentScout: Multimodal AI-Driven Expert Finding in Organizations
- AutoScape: Geometry-Consistent Long-Horizon Scene Generation
- DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning
- Mapillary Vistas Validation for Fine-Grained Traffic Signs: A Benchmark Revealing Vision-Language Model Limitations
- LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
- DiscussLLM: Teaching Large Language Models When to Speak
- Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems
- Harnessing Vision Models for Time Series Analysis: A Survey
- Multi-modal Time Series Analysis: A Tutorial and Survey
- ICeTEA: Mixture of Detectors for Metric-Log Anomaly Detection
- Roadside Multi-LiDAR Data Fusion for Enhanced Traffic Safety
- Identifying Combinatorial Regulatory Genes for Cell Fate Decision via Reparameterizable Subset Explanations
- On Synthesizing Data for Context Attribution in Question Answering
- Feasibility study on scour monitoring for subsea cables of offshore wind turbines using distributed fiber optic sensors
- Group Relative Augmentation for Data Efficient Action Detection
- Uncertainty Propagation on LLM Agent
- Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
- EcoDoc: A Cost-Efficient Multimodal Document Processing System for Enterprises Using LLMs
- Integration of Fiber Optic Sensing and Sparse Grid Sensors for Accurate Fault Localization in Distribution Systems
- XPF: Agentic AI System for Business Workflow Automation
- Quantitative Bounds for Length Generalization in Transformers
- Re-ranking the Context for Multimodal Retrieval Augmented Generation
- Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
- PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
- Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma
- AutoScape: Geometry-Consistent Long-Horizon Scene Generation
- Online Multi-modal Root Cause Identification in Microservice Systems
- TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
- SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
- Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
- Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
- TacTool: Tactical Tool usage in Agentic AI Systems
- To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis
- Uni-LoRA: One Vector is All You Need
- iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
Events
- NEC Labs America Attending OFC 2026 Los Angeles, March 15-19
- NeurIPS 2025 in San Diego from November 30th to December 5th, 2025
- Eric Blow Presents at the IEEE Photonics Conference Singapore on November 10th & 13th
- Giovanni Milione presents Mobile Orbital Domains: Addressing Dynamic Topology Challenges in Satellite Networks at FiO LS Conference on October 29th
- Andrea D’Amico Presents Open and Disaggregated Optical Networks: From Vision to Reality at FiO LS on October 29th
- Murugan Sankaradas presents TalentScout: Multimodal AI-Driven Expert Finding in Organizations at PICom2025 on October 21st
- Abhishek Aich is Organizing the Anomaly Detection with Foundation Models Workshop, held in conjunction with ICCV 2025
- Kunal Rao presents SlideCraft: Context-Aware Slides Generation Agent at PICom 2025 on October 21st
- NECLA at ECOC 2025: Advancing Optical Communication and Distributed Sensing
News
- Honoring Black Innovators Who Shaped Technology
- NEC Laboratories America 2025: A Year of Disruptive Innovation
- Apply for a Summer 2026 Internship
- NEC Laboratories America: Celebrating 23 Years of Research Innovation!
- Summer Highlights at NEC Labs America: Teamwork, Innovation, and Fun
- Graph Neural Networks, Explained: Our Role in the Future of AI
- Shaping the Future with Responsible AI, Collaboration, and Disruption
- Top 10 Most Legendary College Pranks of All-Time for April Fools’ Day
- Introducing the Trustworthy Generative AI Project: Pioneering the Future of Compositional Generation and Reasoning
- Introducing Our New Project: Time Series Language Model for Explainable AI
- The Evolution of Disciplines: From Experimental Roots to Theoretical Frameworks
- Agentic LLMs for AI Orchestration Project: Revolutionizing Complex Workflows
- Multi-Agent Simulator for Carbon Neutrality: The Technology the World Has Been Waiting For
- NEC Laboratories Advances Material Design with AI-based MateriAI Platform
- Unearthing Nature’s Orchestra – How Fiber Optic Cables Can Hear Cicada Secrets