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Jia-Min Xu

Associate Researcher

Harbin Institute of Technology

Research Interests

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Articles (20)

Collaborators (4)

Hao-Yi Cheng

Harbin Institute of Technology

Hong-Cheng Wang

Harbin Institute of Technology

Zhiqiang Zuo

University of New South Wales

Bing-Jie Ni

University of New South Wales

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jia-Min Xu

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (4)

Hao-Yi Cheng

Hong-Cheng Wang

Zhiqiang Zuo

Bing-Jie Ni

Make your next move.

Jia-Min Xu

Research Interests

Make your next move.

Explore related searches

Articles (20)

Machine learning-driven prediction and control system for practical application of sulfur-based autotrophic denitrification biofilters

Scalable Online Machine Learning for Water Quality Optimization and Carbon Source Reduction in Wastewater Treatment Plants

Intelligent monitoring and management of urban drainage systems through machine-learning-driven fusion of EEM and UV-Vis

Effects of wastewater flow direction on sulfur-based autotrophic denitrification processes: operational patterns, denitrification performance and response mechanisms

Iron-derived solid redox system for effective and sustainable sulfur recovery from sulfide-bearing wastewater

Machine learning-integrated multi-objective application and optimization framework for sulfur-based reactive filler towards nutrient removal

Continually evolving time-constant networks enable proactive control of coagulation for low-cost drinking water treatment

Full-scale Applications of a Sulfur-Based Autotrophic Denitrification Biofilter for Polishing Secondary Effluent: Annual Performance, Improved Winter Performance, and Microbial Community Succession

In-Situ sulfur implantation efficiently promoting nitrogen removal in low-carbon anoxic-oxic systems

Fe(Ⅱ/Ⅲ) cycling-based buffering strategy to mitigate sulfide and nitrate overflow in sulfur autotrophic denitrification process under wastewater quality fluctuations

Augmented machine learning for sewage quality assessment with limited data

Bed-immersion-ratio variation as an efficient strategy to regulate denitrification efficiency directionally in elemental sulfur packed-bed reactors

Feedback inhibition derived from hydrogen sulfide in microbial sulfidogenic process via elemental sulfur disproportionation

Promoting nitrogen removal in low C/N wastewater treatment by S0 packed-bed process: Post polishing or via disproportionating sulfidogenesis enhancement

Improved efficiency and stability using a novel elemental sulfur-based moving-bed denitrification process

Insights into the response of nitrogen metabolism to sulfamethoxazole contamination in constructed wetlands with varied substrates

Biogenic sulfur as an effective source for sulfidogenesis via sulfur disproportionation (S0Disp)

Water flush boosts performance of elemental sulfur-based denitrification packed-bed systems: Optimization and mechanisms

Effects of different concentrations of sulfamethoxazole on nitrogen metabolism in vertical flow constructed wetland

Microbiome regulation for sustainable wastewater treatment

Collaborators (4)

Hao-Yi Cheng

Hong-Cheng Wang

Zhiqiang Zuo

Bing-Jie Ni

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