Learning-aided Stochastic Network Optimization with Imperfect State Prediction

• ECE, Arizona State University, September 2017, Tempe, AZ, USA

• ACM MobiHoc, July 2017, Chennai, India

Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization

• ACM MobiHoc Workshop, July 2017, Chennai, India

Prices and Subsidies in the Sharing Economy

• EECS, University of Michigan, September 2017, Ann Arbor, MI, USA

• Didi Chuxing, June 2017, Beijing, China

• SUSTC, April 2017, Shenzhen, China

• TBSI, April 2017, Shenzhen, China

• ACM Sigmetrics TPC meeting, March 2017, Columbia University, New York, USA

• ITA Workshop, Feb 2017, San Diego, USA

• SINE Seminar, Nov 2016, UIUC, Champaign, USA

System Intelligence: Model, Bounds and Algorithms

• ACM MobiHoc 2016, Paderborn, Germany

Boosting Sharing Economy: Social Welfare or Revenue Driven?

• ACM MobiHoc Workshop 2016, Paderborn, Germany

Towards Intelligent System Control​

• Shanghai Jiaotong University, July 2016, Shanghai, China

• Zhejiang University, July 2016, Hangzhou, China

• Bell-labs Paris, July 2016, Paris, France

• THU-USC workshop, May 2016, Los Angeles, USA

• DataNet workshop, WiOpt, May 2016, Tempe, USA

Fast-Convergent Learning-aided Control in Energy Harvesting Networks

• IEEE CDC, Dec 2015, Osaka, Japan

Receding Learning-aided Control in Stochastic Networks

• IFIP Performance, Oct 2015, Sydney, Australia

The Value-of-Information in Matching with Queues

• ACM MobiHoc, June 2015, Hangzhou, China

Learning in Energy Harvesting Networks

• ITA Workshop, Feb 2015, San Diego, USA

Optimizing Your Online Advertisement Asynchronously

• IEEE CDC, Dec 2014, Los Angeles, USA

When Backpressure Meets Predictive Scheduling

• ACM MobiHoc, August 2014, Philadelphia, USA

The Power of Online Learning in Stochastic Network Optimization

• European Conference on Queueing Theory, July 2016, Toulouse, France

• ACM MobiHoc workshop, June 2015, Hangzhou, China

• LINCS, May 2015, Paris, France

• CUHK, April 2015, HK

• LIDS, MIT, July 2014, Cambridge, USA

• ACM Sigmetrics, June 2014, Austin, TX, USA

• EE, Tsinghua University, Beijing, China

• Shanghai Jiaotong University, March 2014, Shanghai, China

• UC Berkeley, Feb 2014, Berkeley, USA

Learning-Aided Control For Stochastic Queueing Systems

• ITA Workshop, Feb 2014, San Diego, USA

A Simpler Data Center Network

• ITA Workshop, Feb 2014, San Diego, USA

A Benes Packet Network

• Bell-labs Paris, April 2013, Paris, France

• INFOCOM 2013, April 2013, Turin, Italy

• The Chinese University of Hong Kong, December 2012, Hong Kong

• Microsoft Research Asia, September 2012, Beijing, China

Codes Can Reduce Queueing Delay in Data Centers

• Microsoft Research Asia, December 2012, Beijing, China

• ISIT, July 2012, MIT, Cambridge, Massachusetts, USA

Optimal Control in Complex Networks

• IIIS, Tsinghua University, March 2012, Beijing, China

Optimal Smart Grid Tariffs

• Information Theory and Applications Workshop, February 2012, San Diego, USA

Utility Optimal Scheduling in Processing Networks

• IFIP Performance, Oct 2011, Amsterdam, The Netherlands

Utility Optimal Scheduling in Energy Harvesting Networks

• MobiHoc, May 2011, Paris, France

• HKUST ECE Seminar April 2011, Hong Kong

LIFO-Backpressure Achieves Near-Optimal Utility-Delay Tradeoff

• WiOpt, May 2011, Princeton, New Jersey, USA

Utility Optimal Scheduling in Networks: Small Delay and No Underflow

• UC Berkeley EECS Seminar, April 2011, Berkeley, California, USA

• ITA Graduation Day, February 2011, San Diego, California, USA

• USC CommNetS Seminar, January 2011, Los Angeles, California, USA

• UCSD ECE Seminar, January 2011, San Diego, California, USA

• UCLA EE Seminar, December 2010, Los Angeles, California, USA

• Caltech RSRG Seminar, November 2010, Pasadena, California, USA

Delay Efficient Scheduling via Redundant Constraints in Multihop Networks

• WiOpt, June 2010, Avignon, France

Delay Reduction via Lagrange Multipliers in Stochastic Network Optimization

• WiOpt, June 2009, Seoul, Korea

The Optimality of Two Prices: Maximizing Revenue in a Stochastic Network

• USC CSI Internal Seminar, 2007, Los Angeles, USA