Liqiang Nie

National University of Singapore, Shandong University

Papers

Total Citations

H-Index

About

Liqiang Nie is a versatile computer scientist whose research spans multimodal computing, human-computer interaction, and intelligent systems. With a career bridging visual modeling, robotic intelligence, and machine learning, Nie has consistently pushed the boundaries of how machines perceive and respond to complex, real-world environments. Among his notable contributions is his 2015 work on robust image spam filtering, which demonstrated the power of comprehensive visual modeling in tackling adversarial content — a paper that has garnered 50 citations and remains a meaningful reference in the multimedia security community. His 2021 research on multimodal activation for dialog robots challenged the conventional wake-word paradigm, proposing more intuitive, sensor-rich approaches to human-robot interaction that eliminate friction in everyday use. More recently, Nie has turned his attention to the frontier of robotic manipulation, contributing a 2025 survey on diffusion policy that synthesizes emerging methods for teaching robots to operate in high-dimensional, uncertain environments — reflecting his commitment to surveying and shaping nascent research landscapes. Across these diverse threads, Nie's work reveals a unifying ambition: making intelligent systems more perceptive, adaptable, and genuinely useful to human users.