Company Filing History:
2 out of 164,219 
2 out of 20,399 
Years Active: 1994-2008
Title: Innovations of Inventor Liang Li
Introduction
Liang Li is a notable inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of packet classification, holding a total of 4 patents. His work focuses on developing methods that enhance the efficiency and accuracy of network packet classification.
Latest Patents
Liang Li's latest patents include innovative methods for classifying packets using multi-class structures. One embodiment involves generating a super class that contains multiple matching rules. These rules are organized into a hierarchical arrangement of lookup tables and equivalence sets, culminating in a final equivalence set associated with the last level. This arrangement is utilized to create a results table that indicates the classification of a network packet. Another patent describes a technique for classifying packets in a deterministic number of lookup operations. This method builds a single 'super class' that encompasses the match criteria for all rules related to packet classification. The 'super class' is compiled to produce a series of lookup tables and equivalence sets, including a final lookup table that is post-processed to link entries with specific results.
Career Highlights
Throughout his career, Liang Li has worked with prominent companies such as IBM and Cisco Technology, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in network technology.
Collaborations
Liang has collaborated with notable colleagues, including Jeffrey Haskell Derby and Willibald A Doeringer. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and advancements in technology.
Conclusion
Liang Li's contributions to packet classification through his innovative patents and collaborations with industry leaders highlight his significant impact on the field. His work continues to influence advancements in network technology and classification methods.