Publications – Zhang, Junshan

Publications

Note: The materials posted here are solely for research and scholastic purposes. The research is supported in part by NSF, ONR, AFOSR, DoD MURI, DTRA, DoE, SPAWAR and by Intel Research Council.

Recent Papers

1	H. Wang S. Lin and J. Zhang, “Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ,” ICML 2023 (“Oral & poster’).
2	S. Yue, G. Wang, W. Shao, Z. Zhang, S. Lin, J. Ren and J. Zhang, “CLARE: Conservative Model-based Reward Learning for Offline Inverse Reinforcement Learning,” ICLR 2023.
3	S. Lin and L. Yang and D. Fan and J. Zhang, “Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer,” NeuIPS 2022.
4	S. Lin and J. Wan and T. Xu and Y. Liang and J. Zhang, “Model-Based Offline Meta-Reinforcement Learning with Regularization,” ICLR 2022.
5	H. Wang and S. Lin and J. Zhang, “Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback,” NeuIPS 2021.
6	S. Lin and L Yang and D. Fan and J. Zhang, “TRGP: Trust Region Gradient Projection for Continual Learning,” ICLR 2022 (spotlight).
7	A. Akbay and J. Zhang, “Distributed Learning with Strategic Users: A Repeated Game Approach,” AAAI 2022 (Oral).
8	H. Wang and S. Lin and H. Jafrakhani and J. Zhang ,”Distributed Q-Learning with State Tracking for Multi-agent Networked Control,” AAMAS 2021.
9	L. Yang and S. Lin and J. Zhang and D. Fan, “KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning,” CVPR 2021.
10	X. Cao and J. Zhang and H. V. Poor, “Online Stochastic Optimization With Time-Varying Distributions,” IEEE Trans. on Automatic Control 2021.
11	Z. Zhou and X. Chen and En Li and Liekang Zeng and Ke Luo and Junshan Zhang, “Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing,” Proceedings of IEEE, 2019. [pdf]
12	M. Wu and S. He and Y. Zhang and J. Chen and Y. Sun and Y. Liu and J. Zhang and H. V. Poor, “A Tensor-Based Framework for Studying Eigenvector Multicentrality in Multilayer Networks,” Proceedings of the National Academy of Sciences (PNAS), vol. 116, No. 31, p. 15407-15413, July, 2019. [pdf]
13	Junshan Zhang, Na Li, Mehmet Dedeoglu: “Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach.” INFOCOM 2021.
14	Y. Tang, J. Zhang and Na Li: “Distributed Zero-Order Algorithms for Nonconvex Multiagent Optimization.” IEEE Trans. on Control of Networked Systems, 2021.
15	X. Cao, J. Zhang, H. V. Poor, and Z. Tian: “Differentially Private ADMM for Regularized Consensus Optimization.” IEEE Trans. on Automatic Control, 2021.

Student Thesis

1.	Ming Hu, “A Cross-Layer Design Framework for Resource Allocation in Wireless Data Networks,” Ph.D. thesis (July 2004).[pdf]
2.	Bo Wang, “Capacity Bounds and Scaling Laws of Wireless Relay Networks,” Ph.D. thesis (Aug. 2006).[pdf]
3.	Dong Zheng, “Physical-Layer Aware Control and Optimization in Stochastic Wireless Networks,” Ph.D. thesis (Aug. 2007).[pdf]
4.	Weiyan Ge, “Joint PHY/MAC Optimization For Wireless Scheduling,” Ph.D. thesis (Aug. 2008).[pdf]
5.	Qinghai Gao, “Cross-Layer Optimization and Cooperative Communications in Wireless Networks,” Ph.D. thesis (Nov. 2008).[pdf]
6.	Chandra Theajaswi P.S., “Opportunistic Scheduling, Cooperative Relaying and Multicast in Wireless Networks,” Ph.D. thesis (Feb. 2011).[pdf]
7.	Shanshan Wang, “Cognitive Communications in White Space: Opportunistic Scheduling, Spectrum Shaping and Delay Analysis,” Ph.D. thesis (Aug. 2012).[pdf]
8.	Dajun Qian, “Network Interdependence and Information Dynamics in Cyber-Physical Systems,” Ph.D. thesis (Nov. 2012).[pdf]
9.	Lei Yang, “Stochastic Optimization and Real-Time Scheduling in Cyber-Physical Systems,” Ph.D. thesis (Nov. 2012).[pdf]
10.	Miao He, “Data Analytics for Smart Grids: Spatio-temporal Wind Power Analysis and Synchrophasor Data Mining,” Ph.D. thesis (July 2013).[pdf]
11.	Xiaowen Gong, 2015 Dean’s Dissertation Award winner, “Wireless Network Design and Optimization: From Social Awareness to Security,” Ph.D. thesis (May 2015).[pdf]
12.	Brian Proulx, “Impact of Social Structure on Wireless Networking: Modeling and Utility,” Ph.D. thesis (May 2015). [pdf]
13.	Weina Wang, 2016 Dean’s Dissertation Award winner, “Fundamental Limits in Data Privacy: From Privacy Measures to Economic Foundations,” Ph.D. thesis (May 2016).[pdf]
14.	David Ganger, “Enhanced Power System Operational Performance with Anticipatory Control under Increased Penetration of Wind Energy,” Ph.D. thesis (July 2016).[pdf]
15.	Mojgan Hedayati, “Flexible Reserve Margin Optimization for Increased Wind Generation Penetration” Ph.D. thesis (Dec. 2016).
16.	Mehmet Dedeoglu, “Distributed Learning and Adaptive Algorithms for Edge Networks” Ph.D. thesis (Oct. 2021).
17.	Sen Lin, “Meta-learning in Edge Networks: Model-based Reinforcement Learning and Distributed Edge Learning” Ph.D. thesis (Oct. 2021)

Selected Talks

1.	“A Note on Emerging Science for Interdependent Networks” (talk given at the Network Science Workshop at Chinese Univ. of Hong Kong, in July 2012). [ppt]
2.	“Tackling Dynamics in Grid Integration of Wind Energy: Modeling, Multi-scale Scheduling and Pricing” (talk given at UT Austin, in Sep. 2011). [ppt]
3.	“The Value of Network State Awareness in A Changing World: Tackling Dynamics in Wireless Networks and Smart Grids” (talk given at Cornell, Temple, UW, in 2011).[ppt]
4.	“Fundamental Tradeoffs between Probing and Channel-aware Scheduling in Stochastic Wireless Networks” (talk given at UCSD, Qualcomm, OSU and BU, in 2010).[ppt]
5.	“Distributed Opportunistic scheduling (DOS) for Ad-Hoc Communications: An Optimal Stopping Approach” (talk given at Princeton, UIUC, Waterloo and Bell Labs, in 2007–2008).[pdf]
6.	“Distributed Network Utility Maximization in Multi-hop Wireless Networks: Noisy Feedback, Lossy Channel and Stability” (talk given at Maryland, Purdue, UIUC and Michigan, in 2006-2007).[ppt]
7.	“Throughput Scaling in Wideband Sensory Relay Networks: Cooperative Relaying, Power Allocation and Scaling Laws ” (talk given at MSRI and UPenn, in 2006).[ppt]
8.	“Ergodic Capacity of MIMO Relay Channel” (March 2004).[ppt]

Publications by Topics

Mobile Social Networks:

1.	X. Chen and X. Gong and L. Yang and J. Zhang, “Exploiting Social Tie Structure for Cooperative Wireless Networking: A Social Group Utility Maximization Framework,” IEEE/ACM Transactions on Networking, to appear.
2.	X. Gong and X. Chen and K. Xing and D.-H. Shin and M. Zhang and J. Zhang, “From social group utility maximization to personalized location privacy in mobile networks,” IEEE/ACM Transactions on Networking (TON), under review.
3.	X. Chen and X. Gong and L. Yang and J. Zhang, “Amazon in the white space: Social recommendation aided distributed spectrum access,” IEEE/ACM Transactions on Networking (TON), under revision.
4.	X. Gong and X. Chen and J. Zhang and H. V. Poor, “Exploiting social trust assisted reciprocity (STAR) towards utility-optimal socially-aware crowdsensing,” IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 1, no. 3, pp. 195-208, Sept. 2015.
5.	X. Chen and B. Proulx and X. Gong and J. Zhang, “Exploiting Social Ties for Cooperative D2D Communications: A Mobile Social Networking Case,” IEEE/ACM Transactions on Networking, accepted for publication.

Data Privacy in Networked Systems:

1.	Jun Zhao and Junshan Zhang, “Dependent Differential Privacy Under Arbitrarily Correlated Data Tuples,” submitted.
2.	Weina Wang, Lei Ying, and Junshan Zhang, “Buying Data from Privacy-Aware Individuals: The Effect of Negative Payments,” submitted.
3.	Weina Wang, Lei Ying, and Junshan Zhang, “The Value of Privacy: Strategic Data Subjects, Incentive Mechanisms and Fundamental Limits,” ACM Sigmetrics 2016.
4.	Weina Wang, Lei Ying, and Junshan Zhang, “A Game-Theoretic Approach to Quality Control for Collecting Privacy-Preserving Data,” In Proceedings of Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, 2015.
5.	Weina Wang, Lei Ying, and Junshan Zhang, “A Minimax Distortion View of Differentially Private Query Release,” In Proceedings of Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, CA, 2015.
6.	Weina Wang, Lei Ying, and Junshan Zhang, “On the Relation Between Identifiability, Differential Privacy, and Mutual-Information Privacy,” IEEE Transactions on Information Theory, under review.

Smart Grid, Cyber-physical Systems (CPS) and Interdependent Networks:

1.	M. He and L. Yang and J. Zhang and V. Vittal, “A Spatio-temporal Analysis Approach for Short-term Wind Generation Forecast,” IEEE Transactions on Power Systems, Volume (29), Issue(4), 2014, p. 1611 – 1622. [pdf]
2.	M. He and V. Vittal and J. Zhang, “Online Dynamic Security Assessment with Missing PMU Measurements: A Data Mining Approach,” IEEE Transactions on Power Systems, Volume (28), Issue (2), 2013, P. 1969 – 1977. [pdf]
3.	M. He and J. Zhang and V. Vittal, “Robust On-line Dynamic Security Assessment using Adaptive Ensemble Decision-Tree Learning, ” IEEE Transactions on Power Systems, Volume (28), Issue (4), P. 4089 – 4098. [pdf]
4.	D. Ganger and J. zhang and V. Vittal, “Statistical Characterization of Wind Power Ramps via Extreme Value Analysis,” IEEE Power Engineering Letters, to appear.
5.	M. Hedayati and J. Zhang and K. Hedman, “Optimal Wind Power Self-Reserve for Flexible Dispatch and Reserve Scheduling with Increased Wind Generation,” IEEE Transactions on sustainable Energy, under revision.
6.	L. Yang and M. He and J. Zhang and V. Vittal, “Stochastic Optimization based Economic Dispatch and Interruptible Load Management with Increased Wind Penetration,” IEEE Transactions on smart grid, revised.
7.	L. Yang and M. He and J. Zhang and V. Vittal, “Support Vector Machine Enhanced Markov Model for Short-term Wind Power Forecast,” IEEE Transactions on sustainable Energy, under revision.
8.	L. Yang and X. Chen and J. Zhang and V. Poor, “Cost-Effective and Privacy-Preserving Energy Management for Smart Meters,” IEEE Transactions on Smart Grid, to appear.
9.	D. Shin and S. He and J. Zhang, “Robust and Cost-Effective Design of Cyber-Physical Systems: An Optimal Middleware Deployment Approach,” IEEE/ACM Transactions on Networking, revised.
10.	D. Shin and D. Qian and J. Zhang, “Cascading Effects in Interdependent Networks,” IEEE Network Magazine, to appear.
11.	D. Shin and S. He and J. Zhang, “Robust, Secure and Cost-Effective Design for Cyber-Physical Systems,” IEEE Intelligent Systems Magazine, 66 – 69 (2014).
12.	L. Yang and J. Zhang and V. Poor, “Risk-aware Day-ahead Scheduling and Real-time Dispatch for Electric Vehicle Charging,” IEEE Transactions on Smart Grid, 693 – 702 (2014).
13.	M. He and S. Murugesan and J. Zhang, “Multiple Timescale Dispatch and Scheduling for Stochastic Reliability in Smart Grids with Wind Generation Integration,” IEEE Transactions on Smart Grid, submitted on Aug 31, 2011.
14.	M. He and J. Zhang, “A Dependency Graph Approach for Fault Detection and Localization Towards Secure Smart Grid,” IEEE Transactions on Smart Grid, special issue on Cyber, Physical and System Security of Smart Grid, pp. 342 – 351, June 2011.

Delay Analysis Using Fluid (Diffusion) Approximation:

1.	Y. Yi and J. Zhang and M. Chiang, “Delay and Effective Throughput of Wireless Scheduling in Heavy Traffic Regimes: Vacation Model for Complexity,” presented at Mobihoc 2009.[pdf]
2.	S. Wang and J. Zhang and L. Tong, ” Delay Analysis for Cognitive Radio Networks with Random Access: A Fluid Queue View,” presented at INFOCOM 2010.[pdf]

Channel-aware Distributed Scheduling in Ad-hoc Networks Using Optimal Stopping Theory:

1.	S. Tan and D. Zheng and J. Zhang and J. Zeidler, ” Distributed Opportunistic Scheduling for Ad-Hoc Communications Under Delay Constraints” presented at INFOCOM 2010.[ pdf]
2.	C. Thejaswi, J. Zhang, S. Pun, and V. H. Poor, “Distributed Opportunistic Scheduling with Two-Level Channel Probing,” presented at INFOCOM 2009.[pdf]
3.	D. Zheng, W. Ge and J. Zhang, “Distributed Opportunistic Scheduling For Ad-Hoc Networks With Random Access: An Optimal Stopping Approach,” IEEE Transactions on Information Theory, vol.55, no.1, pp.205-222, Jan. 2009.[pdf] This paper has been profiled and highlighted by the Technical Insights division of Frost Sullivan, a global growth consulting firm. www.ti.frost.com .
4.	W. Ge, J. Zhang, J. Wieselthier and S. Shen, “PHY-Aware Distributed Scheduling for Ad Hoc Communications with Physical Interference Model,” IEEE Transactions on Wireless Communications, vol.8, no.5, pp.2682-2693, May 2009.
5.	D. Zheng, S. Pun, W. Ge, J. Zhang and V. Poor, “Distributed Opportunistic Scheduling For Ad Hoc Communications with Imperfect Channel Information,” IEEE Transactions on Wireless Communications, vol.7, no.12, pp.5450-5460, Dec. 2008.
6.	D. Zheng, M. Cao, J. Zhang and P. R. Kumar, “Channel Aware Distributed Scheduling For Exploiting Multiuser Diversity and Multi-Receiver Diversity in Ad-Hoc Networks: A Unified PHY/MAC Approach,” presented in INFOCOM 2008, Phoenix, AZ.[pdf]
7.	J. Zhang, “Threshold Structure of Channel Aware Distributed Scheduling in Ad-Hoc Networks: An Optimal Stopping View,” presented at CISS 2008, Princeton, NJ, March 2008.
8.	S. Pun, W. Ge, D. Zheng, J. Zhang and H.V. Poor, “Distributed Opportunistic Scheduling for MIMO Ad-Hoc Networks,” presented at IEEE ICC 2008, Beijing, China, May 2008.
9.	D. Zheng, S. Pun, W. Ge, J. Zhang and H.V. Poor, “Distributed Opportunistic Scheduling for Ad-Hoc Communications under Noisy Channel Estimation,” presented at IEEE ICC 2008, Beijing, China, May 2008.
10.	W. Ge, J. Zhang and J. Wieselthier, “Channel Aware Distributed Scheduling for Ad-Hoc Communications with Capture,” presented at the 41st Asilomar Conference, Monterey, CA, Nov. 2007.
11.	D. Zheng, W. Ge and J. Zhang, “Distributed Opportunistic Scheduling for Ad-Hoc Communications: An Optimal Stopping Approach,” presented at ACM Mobihoc 2007.[pdf]
12.	D. Zheng and J. Zhang, “Joint Optimal Channel Probing and Transmission in Collocated Wireless Networks,” presented at INFOCOM 2007 (Mini-Symposium).

Stochastic Network Optimization of Multi-hop Networks

1.	D. Qian, D. Zheng, J. Zhang, N. Shroff and C. Joo, “Distributed CSMA Algorithms for Link Scheduling in Multihop MIMO Networks Under SINR Model,” to appear in IEEE/ACM Trans. on Networking.
2.	D. Qian and D. Zheng and J. Zhang and N, Shroff, “CSMA-Based Distributed Scheduling in Multi-hop MIMO Networks under SINR Model ,” presented at INFOCOM 2010.[pdf]
3.	P. Hande and M. Chiang and R. Calderbank and J. Zhang, ” Pricing under Constraints in Access Networks: Revenue Maximization and Congestion Management,” presented at INFOCOM 2010.[pdf]
4.	J. Zhang, D. Zheng and M. Chiang, “The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization,” IEEE Transactions on Information Theory, P.645–665, Feb. 2008.[pdf]
5.	Q. Gao, J. Zhang and S. Hanly, “Cross-Layer Rate Control in Wireless Networks with Lossy Links: Leaky-Pipe Flow, Effective Network Utility Maximization and Hop-by-Hop Algorithms,” IEEE Transactions on Wireless Communications, vol.8 no.6, pp.3068-3076, June, 2009.
6.	Q. Gao, J. Zhang and S. Hanly, “Cross-Layer Rate Control in Wireless Networks with Lossy Links: Leaky-Pipe Flow, Effective Network Utility Maximization and Hop-by-Hop Algorithms,” presented in INFOCOM 2008, Phoenix, AZ.[pdf]
7.	L. Wang, L. Cai, X. Liu, S. Shen and J. Zhang, “Stability analysis of multiple-bottleneck networks,” Computer Networks, vol.53, no.3, pp.338-352, February 2009
8.	D. Zheng and J. Zhang, “A Two-Phase Utility Maximization Framework for Wireless Medium Access Control,” IEEE Transactions on Wireless Communications, P. 4299—4307, Dec.2007.
9.	W. Ge, J. Zhang and S. Shen, “A Cross-layer Design Approach to Multicast in Wireless Networks,” IEEE Transactions on Wireless Communications, P. 1063–1071, March 2007.
10.	J. Zhang, D. Zheng and M. Chiang, “The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization,” presented at INFOCOM 2007.
11.	J. Zhang, “Cross-Layer Rate Control in Multi-hop Networks: Fairness,Noisy Feedback and Stochastic Stability,” presented at IEEE Communication Theory Workshop, May 2006.
12.	J. Zhang and D. Zheng, “A Stochastic Primal-Dual Algorithm for joint Flow Control and MAC Design in Multi-hop Wireless Networks,” presented at CISS 2006, Princeton, NJ, 2006.
13.	W. Ge, J. Zhang and S. Shen, “Rate Optimization for MAC Layer Multicast in Wireless Networks,” presented at Globecom 2005.

Information Theoretic Bounds and Scaling Laws for Wireless Relay Networks:

1.	C. Thejaswi, D. Cochran and J. Zhang, “A Sufficient Condition for Optimality of Digital versus Analog Relaying in a Sensor Network,” In Proc. of the 43rd Conference on Information Sciences and Systems (CISS’09), Mar. 2009.[pdf]
2.	C. Thejaswi, A. Bennatan, J. Zhang, R. Calderbank and D. Cochran, “Rate-Achievability Strategies for Two-Hop Interference Flows,” presented at Allerton Conference (invited), IL, Sept. 2008.[pdf]
3.	T. Duman and J. Zhang, “A Note on Convergence rate of Constrained Capacity Estimation Algorithms over ISI Channels,” presented at ITA 2008, San Diego, CA, Jan. 2008.
4.	Y. Cao, B. Chen and J. Zhang, “A New Achievable Rate Region for Interference Channels with Common Information,” presented at WCNC 2007, Hong Kong.
5.	B. Wang, J. Zhang and L. Zheng, “Achievable Rates and Scaling Laws of Wideband Sensory Relay Networks,” IEEE Transactions on Information Theory, P. 4084-4104, Sept. 2006.[pdf]
6.	B. Wang and J. Zhang, “Throughput Scaling of Wideband Sensory Relay Networks: Cooperative Relaying, Power Allocation and Achievable Rates,” presented at INFOCOM 2006.
7.	J. Zhang, “Throughput Scaling in Wideband Sensory Relay Networks: Cooperative Relaying, Power Allocation and Scaling Laws,” presented at MSRI Workshop on “Mathematics of Relaying and Cooperation in Communication Networks,” Mathematical Science Research Center, Berkeley, April 10–12, 2006.
8.	A. Host-Madsen and J. Zhang, “Capacity Bounds and Power allocation in Wireless Relay Channel,” IEEE Transactions on Information Theory, P. 2020–2040, Jun. 2005.[pdf]
9.	B. Wang and J. Zhang and A. Host-Madsen, “On the Capacity of MIMO Relay Channels,” IEEE Transactions on Information Theory, Jan. 2005, P. 29–43.[pdf]
10.	B. Wang and J. Zhang, “Achievable Rates and Scaling Laws of Wireless Relay Networks in the low SNR regime,” presented at the 43rd Annual Allerton Conference, Sept. 2005.
11.	A. Host-Madsen and J. Zhang, “Ergodic Capacity and Power Allocation in Wireless Relay Channels,” presented at GLOBECOM’04, Nov. 2004.
12.	A. Host-Madsen and J. Zhang, “Information Theoretic Study of Time-Division Wireless Relay Channels,” presented at VTC’04, Sept. 2004.
13.	B. Wang and J. Zhang, “A Note on the Scaling Laws of UWB Wireless Networks,” presented at the recent result session at ISIT’2004, June 27 — July 2, 2004.
14.	B. Wang and J. Zhang and A. Host-Madsen, “On Ergodic Capacity of MIMO Relay Channel,” presented at 38th CISS (invited), March 2004, P. 603–608.
15.	B. Wang and J. Zhang, “MIMO Relay Channel and Its Application for Cooperative Communication in Ad Hoc Networks,” presented at Allerton’03.

A Complex Network View of Sensor Networks:

1.	L. Huang, Y. Lai, K. Park, J. Zhang and Z. Hu, “Critical Behavior of Blind Spots in Sensor Networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, June 2007, Chaos 17, 023132.[pdf]
2.	L. Huang, Y. Lai, K. Park and J. Zhang, “Percolation and Blind Spots in Complex Networks,” Physics Review E 73, 066131 (2006).

Sensor Activity Management in Sensor Networks:

1.	W. Ge, J. Zhang and G. Xue, “Joint Clustering and Optimal Cooperative Routing in Wireless Sensor Networks,” presented at IEEE ICC 2008, Beijing, China, May 2008.
2.	Q. Gao, J. Zhang and S. Shen, “A Cross-Layer Optimization Approach for Energy Efficient Wireless Sensor Networks: Coalition-Aided Data Aggregation, Cooperative Communication and Energy Balancing,” Journal of Advances in Multimedia (AM), Special Issue on Cross-layer Optimized Wireless Multimedia Communications. (invited), Volume 2007, Article ID 56592, 12 pages, Dec. 2007.
3.	Z. Hu, J. Zhang and L. Tong, “Adaptive Sensor Activity control in Many-to-one Sensor Networks,” JSAC special issue on Non-linear Optimization in Communication Systems, P. 1525-1534, Aug. 2006 (acceptance ratio 17/95).
4.	W. Ha, Pin-Han Ho, X. Sherman Shen, and Junshan Zhang, “Cross-Layer Organization of Application-Specific Wireless Sensor Networks with Sense-Sleep Trees via Network Flow Model,” Elsevier Computer Communications Journal, 2006.
5.	Z. Hu, J. Zhang and L. Tong, “Stochastic Control for Sensor Activity Management in Many-to-one Sensor Networks,” presented at ISIT 2006, Seattle, WA, July 2006.
6.	Q. Gao, J. Zhang, B. Larish and S. Shen, “Coalition-aided data transport in sensor networks:Data compression, cooperative transmission and Optimal Coalition Size,” presented at IEEE RWS workshop, Jan. 2006 (invited).
7.	W. Ge, J. Zhang and G. Xue, “Cooperative Geographic Routing in Wireless Sensor Networks,” presented at Milcom 2006, Washington D.C., Oct. 2006.
8.	Q. Gao, J. Zhang and B. Larish, “Energy Balancing in Coalition-based Multi-hop Wireless Sensor Networks,” presented at Milcom 2006, Washington D.C., Oct. 2006.
9.	Q. Gao, J. Zhang, B. Larish and S. Shen, “Coalition-aided data Transmissions in Wireless sensor networks,” presented at IEEE ICC, Jun. 2006.
10.	Z. Hu, J. Zhang and L. Tong, “Dynamic Activity management in Many-to-one Sensor Networks,” presented at Milcom 2005, Nov. 2005.

MAC Design and Multi-channel Aloha:

1.	F. Hou, Lin X. Cai, Pin-Han Ho, Sherman Shen and Junshan Zhang, “A Cooperative Multicast Scheduling Scheme for Multimedia Services in IEEE 802.16 Networks,” IEEE Transactions on Wireless Communications, vol.8, no.3, pp. 1508-1519 March 2009.
2.	F. Hou, L. Cai, J. She, P. Ho, S. Shen and J. Zhang, “Cooperative Multicast Scheduling Scheme for IPTV over IEEE 802.16 Networks,” presented at IEEE ICC 2008, Beijing, China, May 2008.
3.	K. Bai and J. Zhang, “Opportunistic Multichannel Aloha: A Distributed Multi-Access Control Scheme for OFDMA Wireless Networks,” IEEE Trans. on Vehicular Technology, special issue on Cross-layer Design in Mobile ad hoc Networks and Wireless Sensor Networks, P. 848-855, May 2006.
4.	D. Zheng and J. Zhang, “Protocol Design and Throughput Analysis of Frequency-Agile Multi-Channel Medium Access Control,” IEEE Transactions on Wireless Communications, Sept. 2006.
5.	D. Zheng and J. Zhang, “A Particle Filtering Approach to the Estimation of Competing Stations in IEEE 802.11 WLANs,” presented at Globecom 2005.
6.	K. Bai and J. Zhang, “Opportunistic Multichannel Aloha for Clustered OFDM Wireless Networks,” The Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (QShine), Orlando, FL, Aug. 2005.
7.	D. Zheng and J. Zhang, “Channel-Aware Weighted Proportional Fair Medium Access Control in Wireless LANs with MIMO links,” The Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (QShine),Orlando, FL, Aug. 2005.
8.	M. Hu and J. Zhang, “MIMO Medium Access Control and Routing in Ad Hoc Networks: A Holistic Perspective,” presented at HPSR 2005.
9.	M. Hu and J. Zhang, “MIMO Ad Hoc Networks: Medium Access Control, Saturation Throughput and Optimal Hop Distance,” Special Issue on Mobile Ad Hoc networks, Journal of Communications and Networks, Dec. 2004, P.317–330 (acceptance ratio: 10/91).[pdf]
10.	M. Hu and J. Zhang, “MIMO Ad Hoc Networks with Spatial Diversity: Medium Access Control and Saturation Throughput,” presented at CDC 2004 (invited), Dec. 2004, P. 3301–3306.
11.	D. Zheng and J. Zhang, “A Note On Channel-Aware Fair Medium Access Control in Ad Hoc Networks with MIMO links,” presented at the poster session of MobiCom 2004, Oct. 2004.
12.	J. Zhang and D. Zheng, “Ad Hoc Networking over Fading Channels: Multi-Channel Diversity, MIMO Signaling, and Opportunistic Medium Access Control,” presented at Allerton’ 03.
13.	D. Zheng and J. Zhang, “Protocol Design and Throughput Analysis of Opportunistic Multi-Channel Medium Access Control,” 2nd IASTED International Conference on Communications, Internet&Information Technology (CIIT 03), Scottsdale, AZ, 2003.

Self-similarity of Multi-access Interference in Wireless Networks:

1.	J. Zhang and T. Konstantopoulos, “Multi-Access Interference Processes are Self-Similar in Multimedia CDMA Cellular Networks,” IEEE Transactions on Information Theory, P.1024–1038, Mar.2005.[pdf]
2.	D. Guo, X. Wang, and J. Zhang, “Fast Real-Time Hurst Parameter Estimation via Adaptive Wavelet Lifting,” IEEE Trans. on Vehicular Technology, P.1266–1273, vol.53, July 2004.
3.	J. Zhang, M. Hu, and N. B. Shroff, “Bursty Data Over CDMA: Predictive MAI Temporal Structure, Rate Control and Admission Control,” P.779–795, Computer Networks Journal, Aug. 2003. (invited paper from INFOCOM’02). [pdf]
4.	Junshan Zhang, Ming Hu, and Ness B. Shroff, “Bursty Data Over CDMA: MAI Self Similarity, Rate Control and Admission Control,” presented at INFOCOM’02, 2002, P.391–399.[pdf]
5.	J. Zhang and T. Konstantopoulos, “Self-Similarity of Multi-Access Interference Processes in Bursty Data CDMA Networks,” presented at ISIT’02, 2002, P.47.
6.	J. Zhang, “Bursty Traffic Meets Fading: A Cross-Layer Design Perspective,” Presented in the 40th Annual Allerton Conference on Communications, Control and Computing, 2002(invited).

Downlink Scheduling in Cellular Wireless Networks:

1.	M. Hu, J. Zhang and J. Sadowsky, “Traffic Aided Opportunistic Scheduling for Wireless Networks: Algorithms and Performance Bounds,” Computer Networks Journal, Nov 2004, P.505–518.[pdf]
2.	M. Hu and J. Zhang, “Opportunistic Multi-Access: Multiuser Diversity, Relay-Aided Opportunistic Scheduling, and Traffic-Aided Admission Control,” the Journal on Special Topics in Mobile Networking and Applications (MONET) on Integration of Heterogeneous Wireless Technologies, P.435–444, vol.9, 2004.
3.	B. Lu, X. Wang, and J. Zhang, “Throughput of CDMA Data Networks with Multiuser Detection, ARQ, and Packet Combining,” IEEE Trans. on Wireless Communications, P. 1576–1589, Sept. 2004.
4.	M. Hu, J. Zhang and J. Sadowsky, “Traffic Aided Opportunistic Scheduling for Downlink Transmissions: Algorithms and Performance Bounds,” presented at INFOCOM 2004, P.1562–1661.
5.	Raja Tuppely, J. Zhang and E. Chong, “Opportunistic Scheduling for Streaming Video in Wireless Networks,” presented at 37th CISS, March 2003.
6.	D. Zheng, J. Zhang and J. Sadowsky, “A Hierarchical Multiuser Diversity (HMD) Transmission Scheme,” presented at GLOBECOM 2003.
7.	E. D. Lentz and J. Zhang, “Joint Scheduling and Interference Cancellation in Ad Hoc Networks,” presented at MILCOM 2003 (invited).
8.	M. Hu, J. Zhang and J. Sadowsky, “A Size-Aided Opportunistic Scheduling Scheme in Wireless Networks,” presented at GLOBECOM 2003.
9.	M. Hu and J. Zhang, “Two novel Schemes for Oppoortunistic Multiuser Communications,” special session on wireless networks in IEEE Multimedia Signal Processing Workshop, Dec 2002 (invited).
10.	M. Hu and J. Zhang, “Rate Adaptation for Bursty Data Transmission in DS-CDMA Networks,” presented at 35th Asilomar conference, 2001. May 23rd, 2001.

Large System Analysis of CDMA Networks:

1.	J. Zhang and X. Wang, “Large System Performance of Blind and Group-Blind Multiuser MMSE Receivers,” IEEE Transactions on Information Theory, P.2507–2523, Sept. 2002.[pdf]
2.	J. Zhang and E. K. P. Chong, “Linear MMSE Multiuser Receivers: MAI Conditional Weak Convergence and Network Capacity,” IEEE Transactions on Information Theory, P. 2114–2122, July 2002.[pdf]
3.	J. Zhang and X. Wang, “Large-System Analysis of Blind and Group-Blind Multiuser Receivers,” presented at ISIT’02, 2002, P.190.
4.	J. Zhang and X. Wang, “Large System Analysis of Blind Multiuser Detection in CDMA Networks,” invited talk at ITCom’2001, Denver, CO, August 2001.
5.	J. Zhang, E. K. P. Chong, and I. Kontoyiannis, “Unified Spatial Diversity Combining and Power Allocation Schemes for CDMA Systems,” IEEE Journal on Selected Areas in Communications, Wireless Communications Series, P. 1276–1288, July 2001.
6.	J. Zhang and E. K. P. Chong, “A Unified Study on the MAI Gaussianity in Large CDMA Systems with MMSE Receivers,” presented at ISIT’01, Washington D.C., June 2001.
7.	X. Wang, J. Zhang and A. Host-Madsen, “Blind and Group-blind Multiuser Detection: Effect of Estimation Error and Large System Performance,” Invited talk at the 2001 IEEE Communication Theory Workshop, Borrego Springs, CA, April 2001.
8.	J. Zhang, E. K. P. Chong, and David N. C. Tse, “Output MAI Distributions of Linear MMSE Multiuser Receivers in DS-CDMA Systems,” IEEE Transactions on Information Theory, vol.47, no.3, P.1128–1144, March 2001.[pdf]
9.	J. Zhang and X. Wang, “Blind and Group-blind Multiuser Receivers in Large CDMA Systems—A Random Signature View,” presented at CISS’01, John Hopkins University, March 2001.
10.	J. Zhang, E. K. P. Chong, and I. Kontoyiannis, “Unified Spatial Diversity Combining and Power Allocation Schemes for CDMA Systems,” in Proceedings of the IEEE GLOBECOM 2000, P.114–118, San Francisco, CA, Nov. 27–Dec. 1, 2000.[pdf]
11.	J. Zhang and E. K. P. Chong, “MAI Conditional Weak Convergence and Network Capacity in Wireless Networks with MMSE Receivers,” in Proceedings of the 38th Annual Allerton Conference on Communication, Control and Computing, Monticello, Illinois, Oct.4–6, 2000 (invited).
12.	J. Zhang and E. K. P. Chong, “Power Control for Spread Spectrum Networks in Fading Channels,” in Proceedings of the 6th IEEE International Symposium on Spread-Spectrum Techniques and Applications, P.790–794, Newark, NJ, September 6–8, 2000.
13.	J. Zhang, E. K. P. Chong, and David N. C. Tse, “Distributions of the Output MAI of Linear MMSE Multiuser Receivers in DS-CDMA Systems,” in Proceedings of the 2000 IEEE International Symposium on Information Theory, P.385, Sorento, Italy, June 25–30, 2000.
14.	J. Zhang and E. K. P. Chong, “CDMA Systems in Fading Channels: Admissibility, Network Capacity, and Power-Control,” IEEE Transactions on Information Theory, vol.46, no.3, P.962–981, May 2000.[pdf]
15.	J. Zhang and E. K. P. Chong, “CDMA Systems with Random Spreading in Fading Channels: Network Capacity and Power Control,” in Proceedings of the 1999 IEEE INFOCOM, P.940–947, New York, New York, March 21–25, 1999.
16.	J. Zhang and E. K. P. Chong, “Admissibility and Network Capacity of Power-Controlled CDMA Systems in Fading Channels,” in Proceedings of the 36th Annual Allerton Conference on Communication, Control and Computing, P.282–291, Monticello, Illinois, September 23–25, 1998.

Rate Distortion Theory:

1.	I. Kontoyiannis and J. Zhang, “Arbitrary Source Models and Bayesian Codebooks in Rate-Distortion Theory,” IEEE Transactions on Information Theory, P. 2276–2290, August 2002.[pdf]
2.	I. Kontoyiannis and J. Zhang, “Arbitrary Source Models and Bayesian Codebooks in Rate-Distortion Theory,” presented at ISIT’02, 2002, P.349.