J

Jiang Li

China National Offshore Oil Corporation (China)

ORCID: 0000-0001-7132-5302

Publishes on Catalysis for Biomass Conversion, Catalysis and Hydrodesulfurization Studies, Advanced Photocatalysis Techniques. 186 papers and 3.8k citations.

186Publications
3.8kTotal Citations

Is this you? Claim your profile.

Add your photo, update your bio, and get notified when your ranking changes.

Top publicationsby citations

Catalytic Conversion of Biomass‐Derived Carbohydrates into γ‐Valerolactone without Using an External H<sub>2</sub> Supply
Li Deng, Jiang Li, Da‐Ming Lai et al.|Angewandte Chemie International Edition|2009
Cited by 363

Simplified procedure: A new catalytic route was developed for the conversion of biomass carbohydrates into γ-valerolactone (GVL) without using an external H2 supply. A model experiment with glucose provided γ-valerolactone in 48 % yield. An interesting positive effect of CO2 on the Ru-catalyzed hydrogenation was also observed. py=pyridine. Detailed facts of importance to specialist readers are published as ”Supporting Information”. Such documents are peer-reviewed, but not copy-edited or typeset. They are made available as submitted by the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Mining invariants from console logs for system problem detection
Jian–Guang Lou, Qiang Fu, Shengqi Yang et al.|Unknown|2010
Cited by 256

Detecting execution anomalies is very important to the maintenance and monitoring of large-scale distributed systems. People often use console logs that are produced by distributed systems for troubleshooting and problem diagnosis. However, manually inspecting console logs for the detection of anomalies is unfeasible due to the increasing scale and complexity of distributed systems. Therefore, there is great demand for automatic anomaly detection techniques based on log analysis. In this paper, we propose an unstructured log analysis technique for anomaly detection, with a novel algorithm to automatically discover program invariants in logs. At first, a log parser is used to convert the unstructured logs to structured logs. Then, the structured log messages are further grouped to log message groups according to the relationship among log parameters. After that, the program invariants are automatically mined from the log message groups. The mined invariants can reveal the inherent linear characteristics of program work flows. With these learned invariants, our technique can automatically detect anomalies in logs. Experiments on Hadoop show that the technique can effectively detect execution anomalies. Compared with the state of art, our approach can not only detect numerous real problems with high accuracy but also provide intuitive insight into the problems. 1

Conversion of Levulinic Acid and Formic Acid into γ‐Valerolactone over Heterogeneous Catalysts
Li Deng, Yan Zhao, Jiang Li et al.|ChemSusChem|2010
Cited by 207

LA Lac′ers: The conversion of levulinic acid (LA) to γ-valerolactone is catalyzed by heterogeneous catalysts without using the external H2. RuP/SiO2 has been demonstrated to be a bifunctional catalyst giving a yield of 96 %. Through a two-step process, excellent performance can be achieved in eight recycling runs. Moreover, no hazardous 2-Me-THF is produced during the process.

Hydrolysis of Cellulose into Glucose by Magnetic Solid Acid
Da‐Ming Lai, Li Deng, Jiang Li et al.|ChemSusChem|2010
Cited by 198Open Access

The main attraction: A magnetic solid acid with mesoporous structure was synthesized for the hydrolysis cellulose into glucose. Glucose is generated efficiently from amorphous cellulose in the mesopores of the catalyst with a yield of 50 %. Moreover, catalyst separation can be readily achieved by magnetic force. Detailed facts of importance to specialist readers are published as ”Supporting Information”. Such documents are peer-reviewed, but not copy-edited or typeset. They are made available as submitted by the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.