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ORCIDZhenming Liu
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- affiliation: College of William & Mary, VA, USA
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Journal Articles
- 2024
[j26]Yuheng Ding, Bo Qiang, Qixuan Chen, Yiqiao Liu, Liangren Zhang
, Zhenming Liu:
Exploring Chemical Reaction Space with Machine Learning Models: Representation and Feature Perspective. J. Chem. Inf. Model. 64(8): 2955-2970 (2024)- [j25]Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu:
On Item-Sampling Evaluation for Recommender System. Trans. Recomm. Syst. 2(1): 7:1-7:36 (2024) - 2023
- [j24]Bo Qiang, Yiran Zhou, Yuheng Ding, Ningfeng Liu, Song Song, Liangren Zhang, Bo Huang, Zhenming Liu:
Bridging the gap between chemical reaction pretraining and conditional molecule generation with a unified model. Nat. Mac. Intell. 5(12): 1476-1485 (2023) - [j23]Feiteng Zhang, Bin Liu, Zhenming Liu, Qizhi Fang:
Order based algorithms for the core maintenance problem on edge-weighted graphs. Theor. Comput. Sci. 941: 140-155 (2023) - 2021
- [j22]Xiangke Zhang, Zhenming Liu, Yajing Wang, Zhenhai Dou, Guoliang Zhai, Qinqin Wei:
Residual Current Detection Method Based on Variational Modal Decomposition and Dynamic Fuzzy Neural Network. IEEE Access 9: 142925-142937 (2021) - [j21]Woosub Jung, Amanda Watson, Scott Kuehn, Erik Korem, Kenneth Koltermann, Minglong Sun, Shuangquan Wang, Zhenming Liu, Gang Zhou:
LAX-Score: Quantifying Team Performance in Lacrosse and Exploring IMU Features towards Performance Enhancement. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(3): 109:1-109:28 (2021) - [j20]Junyong Lai, Xiangbin Li, Yanxing Wang, Shiqiu Yin, Jielong Zhou, Zhenming Liu:
AIScaffold: A Web-Based Tool for Scaffold Diversification Using Deep Learning. J. Chem. Inf. Model. 61(1): 1-6 (2021) - [j19]Ningfeng Liu, Junyong Lai, Chuanyu Lyu, Bo Qiang, Heyu Wang, Hongwei Jin, Liangren Zhang, Zhenming Liu:
Chemical Space, Scaffolds, and Halogenated Compounds of CMNPD: A Comprehensive Chemoinformatic Analysis. J. Chem. Inf. Model. 61(7): 3323-3336 (2021) - [j18]Chuanyu Lyu, Tong Chen, Bo Qiang, Ningfeng Liu, Heyu Wang, Liangren Zhang, Zhenming Liu:
CMNPD: a comprehensive marine natural products database towards facilitating drug discovery from the ocean. Nucleic Acids Res. 49(Database-Issue): D509-D515 (2021) - [j17]Qiong Wu, Adam Hare, Sirui Wang, Yuwei Tu, Zhenming Liu, Christopher G. Brinton, Yanhua Li:
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation. ACM Trans. Intell. Syst. Technol. 12(5): 54:1-54:29 (2021) - 2020
- [j16]Yibo Li, Jianxing Hu, Yanxing Wang, Jielong Zhou, Liangren Zhang, Zhenming Liu:
DeepScaffold: A Comprehensive Tool for Scaffold-Based De Novo Drug Discovery Using Deep Learning. J. Chem. Inf. Model. 60(1): 77-91 (2020) - [j15]Jie Xia, Zhenyi Wang, Yi Huan, Wenjie Xue, Xing Wang, Yuxi Wang, Zhenming Liu, Jui-Hua Hsieh, Liangren Zhang, Song Wu, Zhufang Shen, Hongmin Zhang, Xiang Simon Wang:
Pose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor Agonists. J. Chem. Inf. Model. 60(3): 1202-1214 (2020) - [j14]Yanxing Wang, Jianxing Hu, Junyong Lai, Yibo Li, Hongwei Jin, Li He Zhang, Liang Ren Zhang, Zhenming Liu:
TF3P: Three-Dimensional Force Fields Fingerprint Learned by Deep Capsular Network. J. Chem. Inf. Model. 60(6): 2754-2765 (2020) - [j13]Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo:
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis. ACM Trans. Intell. Syst. Technol. 11(1): 8:1-8:19 (2020) - 2018
- [j12]Yibo Li, Liangren Zhang, Zhenming Liu:
Multi-objective de novo drug design with conditional graph generative model. J. Cheminformatics 10(1): 33:1-33:24 (2018) - 2016
- [j11]Felix Ming Fai Wong, Zhenming Liu, Mung Chiang:
On the Efficiency of Social Recommender Networks. IEEE/ACM Trans. Netw. 24(4): 2512-2524 (2016) - 2014
- [j10]Jie Xia, Hongwei Jin, Zhenming Liu, Liang Ren Zhang, Xiang Simon Wang:
An Unbiased Method To Build Benchmarking Sets for Ligand-Based Virtual Screening and its Application To GPCRs. J. Chem. Inf. Model. 54(5): 1433-1450 (2014) - [j9]Christopher G. Brinton, Mung Chiang, Shaili Jain, Henry Lam, Zhenming Liu, Felix Ming Fai Wong:
Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model. IEEE Trans. Learn. Technol. 7(4): 346-359 (2014) - 2011
- [j8]Zhenming Liu, Bo Li, Xia Li, Liang Ren Zhang, Luhua Lai:
Identification of Small-Molecule Inhibitors against Human Leukocyte Antigen-Death Receptor 4 (HLA-DR4) Through a Comprehensive Strategy. J. Chem. Inf. Model. 51(2): 326-334 (2011) - [j7]Zhenming Liu, Bo Li, Xia Li, Liang Ren Zhang, Luhua Lai:
Correction to Identification of Small-Molecule Inhibitors against Human Leukocyte Antigen-Death Receptor 4 (HLA-DR4) Through a Comprehensive Strategy. J. Chem. Inf. Model. 51(7): 1737 (2011) - 2010
- [j6]Wei Chen, Zhenming Liu, Xiaorui Sun, Yajun Wang:
A game-theoretic framework to identify overlapping communities in social networks. Data Min. Knowl. Discov. 21(2): 224-240 (2010) - [j5]Zhenming Liu, Michael Mitzenmacher:
Codes for deletion and insertion channels with segmented errors. IEEE Trans. Inf. Theory 56(1): 224-232 (2010) - [j4]Flavio Chierichetti, Hilary K. Finucane, Zhenming Liu, Michael Mitzenmacher:
Designing floating codes for expected performance. IEEE Trans. Inf. Theory 56(3): 968-978 (2010) - 2009
- [j3]Bo Li, Zhenming Liu, Liang Ren Zhang, Li He Zhang:
Multiple-Docking and Affinity Fingerprint Methods for Protein Classification and Inhibitors Selection. J. Chem. Inf. Model. 49(7): 1725-1733 (2009) - 2005
- [j2]Zhenming Liu, Changkang Huang, Keqiang Fan, Ping Wei, Hao Chen, Shiyong Liu, Jianfeng Pei, Lei Shi, Bo Li, Kun Yang, Ying Liu, Luhua Lai:
Virtual Screening of Novel Noncovalent Inhibitors for SARS-CoV 3C-like Proteinase. J. Chem. Inf. Model. 45(1): 10-17 (2005) - [j1]Jianfeng Pei, Hao Chen, Zhenming Liu, Xiaofeng Han, Qi Wang, Bin Shen, Jiaju Zhou, Luhua Lai:
Improving the Quality of 3D-QSAR by Using Flexible-Ligand Receptor Models. J. Chem. Inf. Model. 45(6): 1920-1933 (2005)
Conference and Workshop Papers
- 2023
- [c46]Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu:
Towards Reliable Item Sampling for Recommendation Evaluation. AAAI 2023: 4409-4416 - [c45]Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu:
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models. AAAI 2023: 10361-10369 - [c44]Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang:
Distributional Cloning for Stabilized Imitation Learning via ADMM. ICDM 2023: 818-827 - [c43]Yu Chen, Lucca Skon, James R. McCombs, Zhenming Liu, Andreas Stathopoulos:
Parallel Software for Million-scale Exact Kernel Regression. ICS 2023: 313-323 - [c42]Farrokh Ayazi, Haoran Wen, Gregory Villiam Junek, Zhenming Liu, Chris Heaton:
Fully Integrated High-Frequency MEMS and CMOS Inertial Measurement Systems: Taking a Journey from Silicon to Silicon Carbide. PLANS 2023: 18-24 - [c41]Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu:
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. WACV 2023: 3847-3857 - 2022
- [c40]Junjie Wang, Jiexiong Guan, Y. Alicia Hong, Hong Xue, Shuangquan Wang, Zhenming Liu, Bin Ren, Gang Zhou:
Towards Socially Acceptable Food Type Recognition. MSN 2022: 671-678 - 2021
- [c39]Bin Liu, Zhenming Liu, Feiteng Zhang:
An Order Approach for the Core Maintenance Problem on Edge-Weighted Graphs. AAIM 2021: 426-437 - [c38]Qiong Wu, Christopher G. Brinton, Zheng Zhang, Andrea Pizzoferrato, Zhenming Liu, Mihai Cucuringu:
Equity2Vec: end-to-end deep learning framework for cross-sectional asset pricing. ICAIF 2021: 44:1-44:9 - [c37]Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo:
C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. ICDM 2021: 1505-1510 - [c36]Qiong Wu, Zhenming Liu:
Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters. MSN 2021: 446-453 - [c35]Jialiang Tan, Yu Chen, Zhenming Liu, Bin Ren, Shuaiwen Leon Song, Xipeng Shen, Xu Liu:
Toward efficient interactions between Python and native libraries. ESEC/SIGSOFT FSE 2021: 1117-1128 - 2020
- [c34]Haowen Sun, Xiaoqing Lyu, Bei Wang, Yifan Wang, Zhi Tang, Zhenming Liu:
An Enhanced LRMC Method for Drug Repositioning via GCN-based HIN Embedding. BIBM 2020: 1137-1141 - [c33]Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Jie Bao, Yu Zheng, Jun Luo:
Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers. SIGSPATIAL/GIS 2020: 357-366 - [c32]Yu Chen, Zhenming Liu, Bin Ren, Xin Jin:
On Efficient Constructions of Checkpoints. ICML 2020: 1627-1636 - [c31]Qiong Wu, Felix Ming Fai Wong, Yanhua Li, Zhenming Liu, Varun Kanade:
Adaptive Reduced Rank Regression. NeurIPS 2020 - [c30]Hang Zhu, Kostis Kaffes, Zixu Chen, Zhenming Liu, Christos Kozyrakis, Ion Stoica, Xin Jin:
RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers. OSDI 2020: 1225-1240 - 2019
- [c29]Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia:
Near-Neighbor Methods in Random Preference Completion. AAAI 2019: 4336-4343 - [c28]Chenrui Zhang, Xiaoqing Lyu, Yifeng Huang, Zhi Tang, Zhenming Liu:
Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning. BIBM 2019: 326-329 - [c27]Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica:
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. FAST 2019: 143-157 - [c26]Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo:
Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. SDM 2019: 783-791 - [c25]Qiong Wu, Wen-Ling Hsu, Tan Xu, Zhenming Liu, George Ma, Guy Jacobson, Shuai Zhao:
Speaking with Actions - Learning Customer Journey Behavior. ICSC 2019: 279-286 - [c24]Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica:
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. USENIX Annual Technical Conference 2019 - 2018
- [c23]Zhenming Liu, Yueting Chai, Yi Liu, Zequn Li:
A Social Network Model Based on the Community Evolutions. ICEBE 2018: 228-233 - [c22]Xukan Ran, Haoliang Chen, Xiaodan Zhu, Zhenming Liu, Jiasi Chen:
DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics. INFOCOM 2018: 1421-1429 - 2017
- [c21]Cheng Li, Felix Ming Fai Wong, Zhenming Liu, Varun Kanade:
From which world is your graph. NIPS 2017: 1469-1479 - [c20]Xukan Ran, Haoliang Chen, Zhenming Liu, Jiasi Chen:
Delivering Deep Learning to Mobile Devices via Offloading. VR/AR Network@SIGCOMM 2017: 42-47 - 2015
- [c19]Felix Ming Fai Wong, Zhenming Liu, Mung Chiang:
On the efficiency of social recommender networks. INFOCOM 2015: 2317-2325 - [c18]Felix Ming Fai Wong, Carlee Joe-Wong, Sangtae Ha, Zhenming Liu, Mung Chiang:
Improving user QoE for residential broadband: Adaptive traffic management at the network edge. IWQoS 2015: 105-114 - 2014
- [c17]Kai-Min Chung, Zhenming Liu, Rafael Pass:
Statistically-secure ORAM with Õ(log2 n) Overhead. ASIACRYPT (2) 2014: 62-81 - [c16]Felix Ming Fai Wong, Zhenming Liu, Mung Chiang:
Stock Market Prediction from WSJ: Text Mining via Sparse Matrix Factorization. ICDM 2014: 430-439 - 2013
- [c15]Mung Chiang, Henry Lam, Zhenming Liu, H. Vincent Poor:
Why Steiner-tree type algorithms work for community detection. AISTATS 2013: 187-195 - [c14]Nanxi Kang, Zhenming Liu, Jennifer Rexford, David Walker:
Optimizing the "one big switch" abstraction in software-defined networks. CoNEXT 2013: 13-24 - [c13]Sharon Goldberg, Zhenming Liu:
The Diffusion of Networking Technologies. SODA 2013: 1577-1594 - 2012
- [c12]Varun Kanade, Zhenming Liu, Bozidar Radunovic:
Distributed Non-Stochastic Experts. NIPS 2012: 260-268 - [c11]Zhenming Liu, Bozidar Radunovic, Milan Vojnovic:
Continuous distributed counting for non-monotonic streams. PODS 2012: 307-318 - [c10]Henry Lam, Zhenming Liu, Michael Mitzenmacher, Xiaorui Sun, Yajun Wang:
Information dissemination via random walks in d-dimensional space. SODA 2012: 1612-1622 - [c9]Kai-Min Chung, Henry Lam, Zhenming Liu, Michael Mitzenmacher:
Chernoff-Hoeffding Bounds for Markov Chains: Generalized and Simplified. STACS 2012: 124-135 - 2011
- [c8]Tao Sun, Wei Chen, Zhenming Liu, Yajun Wang, Xiaorui Sun, Ming Zhang, Chin-Yew Lin:
Participation Maximization Based on Social Influence in Online Discussion Forums. ICWSM 2011 - [c7]Wei Chen, Zhenming Liu, Xiaorui Sun, Yajun Wang:
Community Detection in Social Networks through Community Formation Games. IJCAI 2011: 2576-2581 - [c6]Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincón, Xiaorui Sun, Yajun Wang, Wei Wei, Yifei Yuan:
Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate. SDM 2011: 379-390 - 2010
- [c5]William Yuen, Paul F. Syverson, Zhenming Liu, Christopher Thorpe:
Intention-Disguised Algorithmic Trading. Financial Cryptography 2010: 408-415 - [c4]Vladimir Braverman, Kai-Min Chung, Zhenming Liu, Michael Mitzenmacher, Rafail Ostrovsky:
AMS Without 4-Wise Independence on Product Domains. STACS 2010: 119-130 - 2008
- [c3]Hilary K. Finucane, Zhenming Liu, Michael Mitzenmacher:
Designing floating codes for expected performance. Allerton 2008: 1389-1396 - 2007
- [c2]Zhenming Liu, Michael Mitzenmacher:
Codes for Deletion and Insertion Channels with Segmented Errors. ISIT 2007: 846-850 - 2005
- [c1]Mordecai J. Golin, Zhenming Liu:
The Structure of Optimal Prefix-Free Codes in Restricted Languages: The Uniform Probability Case. WADS 2005: 372-384
Informal and Other Publications
- 2024
- [i27]Ningfeng Liu, Jie Yu, Siyu Xiu, Xinfang Zhao, Siyu Lin, Bo Qiang, Ruqiu Zheng, Hongwei Jin, Liangren Zhang, Zhenming Liu:
Latent Chemical Space Searching for Plug-in Multi-objective Molecule Generation. CoRR abs/2404.06691 (2024) - 2023
- [i26]Bo Qiang, Yiran Zhou, Yuheng Ding, Ningfeng Liu, Song Song, Liangren Zhang, Bo Huang, Zhenming Liu:
Uni-RXN: A Unified Framework Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation. CoRR abs/2303.06965 (2023) - 2022
- [i25]Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu:
Towards Reliable Item Sampling for Recommendation Evaluation. CoRR abs/2211.15743 (2022) - [i24]Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu:
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models. CoRR abs/2212.00852 (2022) - 2021
- [i23]Jialiang Tan, Yu Chen, Zhenming Liu, Bin Ren, Shuaiwen Leon Song, Xipeng Shen, Xu Liu:
Toward Efficient Interactions between Python and Native Libraries. CoRR abs/2107.00064 (2021) - 2020
- [i22]Sirui Wang, Yuwei Tu, Qiong Wu, Adam Hare, Zhenming Liu, Christopher G. Brinton, Yanhua Li:
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation. CoRR abs/2008.02218 (2020) - [i21]Yu Chen, Zhenming Liu, Bin Ren, Xin Jin:
On Efficient Constructions of Checkpoints. CoRR abs/2009.13003 (2020) - [i20]Hang Zhu, Kostis Kaffes, Zixu Chen, Zhenming Liu, Christos Kozyrakis, Ion Stoica, Xin Jin:
RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report). CoRR abs/2010.05969 (2020) - [i19]Qiong Wu, Sunil Manandhar, Zhenming Liu:
Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters. CoRR abs/2010.15206 (2020) - [i18]Adam Hare, Yu Chen, Yinan Liu, Zhenming Liu, Christopher G. Brinton:
On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search. CoRR abs/2012.01941 (2020) - 2019
- [i17]Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica:
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. CoRR abs/1901.08200 (2019) - [i16]Qiong Wu, Felix Ming Fai Wong, Zhenming Liu, Yanhua Li, Varun Kanade:
Adaptive Reduced Rank Regression. CoRR abs/1905.11566 (2019) - [i15]Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo:
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle. CoRR abs/1907.05390 (2019) - [i14]Yibo Li, Jianxing Hu, Yanxing Wang, Jielong Zhou, Liangren Zhang, Zhenming Liu:
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning. CoRR abs/1908.07209 (2019) - [i13]Qiong Wu, Zheng Zhang, Andrea Pizzoferrato, Mihai Cucuringu, Zhenming Liu:
A Deep Learning Framework for Pricing Financial Instruments. CoRR abs/1909.04497 (2019) - [i12]Yanxing Wang, Jianxing Hu, Junyong Lai, Yibo Li, Hongwei Jin, Li He Zhang, Liangren Zhang, Zhenming Liu:
TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network. CoRR abs/1912.11430 (2019) - 2018
- [i11]Yibo Li, Liang Ren Zhang, Zhenming Liu:
Multi-Objective De Novo Drug Design with Conditional Graph Generative Model. CoRR abs/1801.07299 (2018) - [i10]Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia:
Towards Non-Parametric Learning to Rank. CoRR abs/1807.03395 (2018) - 2017
- [i9]Cheng Li, Felix Ming Fai Wong, Zhenming Liu, Varun Kanade:
From which world is your graph? CoRR abs/1711.00982 (2017) - 2014
- [i8]Henry Lam, Zhenming Liu:
From Black-Scholes to Online Learning: Dynamic Hedging under Adversarial Environments. CoRR abs/1406.6084 (2014) - [i7]Felix Ming Fai Wong, Zhenming Liu, Mung Chiang:
Stock Market Prediction from WSJ: Text Mining via Sparse Matrix Factorization. CoRR abs/1406.7330 (2014) - 2013
- [i6]Kai-Min Chung, Zhenming Liu, Rafael Pass:
Statistically-secure ORAM with $\tilde{O}(\log^2 n)$ Overhead. CoRR abs/1307.3699 (2013) - [i5]Christopher G. Brinton, Mung Chiang, Shaili Jain, Henry Lam, Zhenming Liu, Felix Ming Fai Wong:
Learning about social learning in MOOCs: From statistical analysis to generative model. CoRR abs/1312.2159 (2013) - [i4]Felix Ming Fai Wong, Carlee Joe-Wong, Sangtae Ha, Zhenming Liu, Mung Chiang:
Mind Your Own Bandwidth: An Edge Solution to Peak-hour Broadband Congestion. CoRR abs/1312.7844 (2013) - 2012
- [i3]Sharon Goldberg, Zhenming Liu:
Technology Diffusion in Communication Networks. CoRR abs/1202.2928 (2012) - [i2]Varun Kanade, Zhenming Liu, Bozidar Radunovic:
Distributed Non-Stochastic Experts. CoRR abs/1211.3212 (2012) - 2011
- [i1]Henry Lam, Zhenming Liu, Michael Mitzenmacher, Xiaorui Sun, Yajun Wang:
Information Dissemination via Random Walks in d-Dimensional Space. CoRR abs/1104.5268 (2011)
Coauthor Index
Liang Ren Zhang
aka: Liangren Zhang
aka: Liangren Zhang
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