Siew-Kei Lam
Associate Professor
Works on custom and reconfigurable computing, high-level synthesis and embedded vision for autonomous systems.
Siew-Kei Lam's lab at NTU works on embodied & active vision, autonomous vehicles & drones and data management & big data. 40 papers since 2023, 9 at top venues, mostly IROS and NeurIPS.
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 23%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 10 papers2026 · T1 1 · collecting
- 9 papers2025 · T1 4
- 13 papers2024 · T1 3
- 8 papers2023 · T1 1
T1 venuesOtherVenues: IROS, NeurIPS, AAAI, CIKM, ECCV
Research focuspaper titles that use each topic's words
- Embodied & active vision3 papers
- Data management & big data2 papers
- Autonomous vehicles & drones0 papers
- high-level0 papers
- high-level synthesis0 papers
Paper list
From DBLP.
202610 papers
- IEEE Trans. Circuits Syst. I Regul. Pap.A Novel Memristive Combinational Logic for Accelerating N-bit Adders (opens in a new tab)
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.DAGSIS: A DAG-Aware MAGIC-Based Synthesis Framework for In-Memory Computing (opens in a new tab)
- IEEE Trans. Dependable Secur. Comput.Enhancing Stereo Matching Domain Generalization With Adversarial Domain Alignment (opens in a new tab)
- Pattern RecognitionImproving adversarial transferability and imperceptibility with loss landscape and diffusion model (opens in a new tab)
- ACM Comput. Surv.Large Language Models for Computer-Aided Design: A Survey (opens in a new tab)
- IEEE Trans. Serv. Comput.Maximizing Edge Throughput in Collaborative Multi-Task Inference With Shareable Model Structures (opens in a new tab)
- Comput. Secur.Securing automated insulin delivery systems: A review of security threats and protective strategies (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.StructFormer: A Transformer-Based Multi-Structure Attention Model for Solving Routing Problems (opens in a new tab)
- ICICTowards Automatic Incremental Learning: A Self-adaptive Framework for Continual Instruction Tuning (opens in a new tab)
- NDSS (T1)Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models (opens in a new tab)
20259 papers
- IEEE Trans. Intell. Transp. Syst.EDS-Depth: Enhancing Self-Supervised Monocular Depth Estimation in Dynamic Scenes (opens in a new tab)
- CIKM (T1)Evaluating Differentially Private Generation of Domain-Specific Text (opens in a new tab)
- CPSS@AsiaCCSExtracting Proxy Models from Side-Channel Insights to Enhance Adversarial Attacks on Black-Box DNNs (opens in a new tab)
- FPLFPGA Stereo Visual Slam with Efficient Stereo Feature Matching and Key-Frame Generation (opens in a new tab)
- IEEE Trans. Inf. Forensics Secur.Looking Clearer With Text: A Hierarchical Context Blending Network for Occluded Person Re-Identification (opens in a new tab)
- IROS (T1)Motion-Feat: Motion Blur-Aware Local Feature Description for Image Matching (opens in a new tab)
- NeurIPS (T1)T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks (opens in a new tab)
- AAAI (T1)Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.VFM-Depth: Leveraging Vision Foundation Model for Self-Supervised Monocular Depth Estimation (opens in a new tab)
202413 papers
- SensorsA Versatile Approach for Adaptive Grid Mapping and Grid Flex-Graph Exploration with a Field-Programmable Gate Array-Based Robot Using Hardware Schemes (opens in a new tab)
- ICCPSAchieving Real-time Visual Tracking with Low-Cost Edge AI (opens in a new tab)
- IROS (T1)CurricularVPR: Curricular Contrastive Loss for Visual Place Recognition (opens in a new tab)
- NeurocomputingEmploying feature mixture for active learning of object detection (opens in a new tab)
- ECCV (T1)GPSFormer: A Global Perception and Local Structure Fitting-Based Transformer for Point Cloud Understanding (opens in a new tab)
- IJCNNGraph Mining under Data scarcity (opens in a new tab)
- ISCASHardware Accelerator for Feature Matching with Binary Search Tree (opens in a new tab)
- SensorsHardware Schemes for Smarter Indoor Robotics to Prevent the Backing Crash Framework Using Field Programmable Gate Array-Based Multi-Robots (opens in a new tab)
- ICFPTHardware-Efficient Homogenized Key-Point Selection for Visual SLAM (opens in a new tab)
- NeurIPS (T1)Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching (opens in a new tab)
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.Layer Sequence Extraction of Optimized DNNs Using Side-Channel Information Leaks (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Share-Aware Joint Model Deployment and Task Offloading for Multi-Task Inference (opens in a new tab)
20238 papers
- SensorsA Versatile Approach to Polygonal Object Avoidance in Indoor Environments with Hardware Schemes Using an FPGA-Based Multi-Robot (opens in a new tab)
- IEEE Trans. Mob. Comput.Blockchain-Based Secure Key Management for Mobile Edge Computing (opens in a new tab)
- Eng. Appl. Artif. Intell.Computer vision framework for crack detection of civil infrastructure - A review (opens in a new tab)
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.CoTree: A Side-Channel Collision Tool to Push the Limits of Conquerable Space (opens in a new tab)
- ARCDNN Model Theft Through Trojan Side-Channel on Edge FPGA Accelerator (opens in a new tab)
- SensorsHardware-Efficient Scheme for Trailer Robot Parking by Truck Robot in an Indoor Environment with Rendezvous (opens in a new tab)
- IROS (T1)Training-Free Attentive-Patch Selection for Visual Place Recognition (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Two-Level Scheduling Algorithms for Deep Neural Network Inference in Vehicular Networks (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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