1. Bioinformatics:  Prof. Lin http://i.cs.hku.hk/~twlam/

•  Alignment and assembling
•  partern matching
•  mining the sequence
•  index the DB: BWA, SOAP
• Applications: Re-sequencing

2. Data stream

• I .  Small Enough Data Structure
  II. Small Memory( independent from input size)
•  Sliding window model:
   Focus on the most recent Data(Similar to the web log process in Alipay.)
• Continuous Monitoring of distributed Data Streams.(Multiple Streams)

3. Online Scheduling Dr. Chan:

• Charactor: 1. time serials 2. Dynamic Size 3. Online( no priori info)
• FCFS, SJF, Round Robin 
• Competitive analysis: Flow(A,I)<=C*Flow(Opt,I) , c names competitive ratio.
• Best Strategy: Working on the least-time-left job.
• HKU did a great job on Energy efficiency scheduling
  1 power function( typically f(x)=X^3)
          2 temperature
          3 Sensor network

4. Data mining on uncertain data base. Dr. Ben Kao:http://www.cs.hku.hk/~kao

•  Decision Tree, Etropy
•  Curve(divide into several parts), Sampling Tech.

5. Security&Integrity of Data Mining Outsoucing.  Prof. Cheung(Head.) http://www.cs.hku.hk/~dcheung

• Security: DB-->Encryption-->DB'-->Mining-->Result'-->Decryption-->Result
• Integrity: Audit environment
  DB+DB'-->Merge-->DB*-->Encryption-->DB*'-->Mining-->Result*'-->Decryption-->Result*-->Audit-->Result.
• Most important idea is AUDIT! By putting some artificial audit items into the Dataset.
  AFI, AII

6. System research Prof. Wang http://www.cs.hku.hk/~clwang

• Grid computing
• PvG
• MIM 

BTW:

Today's GRE AW is quite luck... RP supre hao...