The Structure of Optimal Prefix-Free Codes in Restricted Languages: The Uniform Probability Case. - Mordecai J. Golin; Zhenming Liu (WADS, 2005)

Virtual Screening of Novel Noncovalent Inhibitors for SARS-CoV 3C-like Proteinase. - Zhenming Liu; Changkang Huang; Keqiang Fan; Ping Wei; Hao Chen; Shiyong Liu; Jianfeng Pei; Lei Shi; Bo Li 022; Kun Yang 003; Ying Liu; Luhua Lai (J. Chem. Inf. Model., 2005)

Improving the Quality of 3D-QSAR by Using Flexible-Ligand Receptor Models. - Jianfeng Pei; Hao Chen; Zhenming Liu; Xiaofeng Han; Qi Wang; Bin Shen; Jiaju Zhou; Luhua Lai (J. Chem. Inf. Model., 2005)

Designing floating codes for expected performance. - Hilary K. Finucane; Zhenming Liu; Michael Mitzenmacher (Allerton, 2008)

Multiple-Docking and Affinity Fingerprint Methods for Protein Classification and Inhibitors Selection. - Bo Li 022; Zhenming Liu; Liang Ren Zhang; Li He Zhang (J. Chem. Inf. Model., 2009)

Intention-Disguised Algorithmic Trading. - William Yuen; Paul F. Syverson; Zhenming Liu; Christopher Thorpe (Financial Cryptography, 2010)

AMS Without 4-Wise Independence on Product Domains. - Vladimir Braverman; Kai-Min Chung; Zhenming Liu; Michael Mitzenmacher; Rafail Ostrovsky (STACS, 2010)

A game-theoretic framework to identify overlapping communities in social networks. - Wei Chen 013; Zhenming Liu; Xiaorui Sun; Yajun Wang 001 (Data Min. Knowl. Discov., 2010)

Designing floating codes for expected performance. - Flavio Chierichetti; Hilary K. Finucane; Zhenming Liu; Michael Mitzenmacher (IEEE Trans. Inf. Theory, 2010)

Codes for deletion and insertion channels with segmented errors. - Zhenming Liu; Michael Mitzenmacher (IEEE Trans. Inf. Theory, 2010)

Participation Maximization Based on Social Influence in Online Discussion Forums. - Tao Sun; Wei Chen 013; Zhenming Liu; Yajun Wang 001; Xiaorui Sun; Ming Zhang 004; Chin-Yew Lin (ICWSM, 2011)

Community Detection in Social Networks through Community Formation Games. - Wei Chen 013; Zhenming Liu; Xiaorui Sun; Yajun Wang 001 (IJCAI, 2011)

Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate. - Wei Chen 013; Alex Collins; Rachel Cummings; Te Ke; Zhenming Liu; David Rincón 001; Xiaorui Sun; Yajun Wang 001; Wei Wei; Yifei Yuan 001 (SDM, 2011)

Information Dissemination via Random Walks in d-Dimensional Space - Henry Lam; Zhenming Liu; Michael Mitzenmacher; Xiaorui Sun; Yajun Wang 001 (CoRR, 2011)

Identification of Small-Molecule Inhibitors against Human Leukocyte Antigen-Death Receptor 4 (HLA-DR4) Through a Comprehensive Strategy. - Zhenming Liu; Bo Li 022; Xia Li; Liang Ren Zhang; Luhua Lai (J. Chem. Inf. Model., 2011)

Correction to Identification of Small-Molecule Inhibitors against Human Leukocyte Antigen-Death Receptor 4 (HLA-DR4) Through a Comprehensive Strategy. - Zhenming Liu; Bo Li 022; Xia Li; Liang Ren Zhang; Luhua Lai (J. Chem. Inf. Model., 2011)

Distributed Non-Stochastic Experts. - Varun Kanade; Zhenming Liu; Bozidar Radunovic (NIPS, 2012)

Continuous distributed counting for non-monotonic streams. - Zhenming Liu; Bozidar Radunovic; Milan Vojnovic (PODS, 2012)

Information dissemination via random walks in d-dimensional space. - Henry Lam; Zhenming Liu; Michael Mitzenmacher; Xiaorui Sun; Yajun Wang 001 (SODA, 2012)

Chernoff-Hoeffding Bounds for Markov Chains: Generalized and Simplified. - Kai-Min Chung; Henry Lam; Zhenming Liu; Michael Mitzenmacher (STACS, 2012)

Technology Diffusion in Communication Networks - Sharon Goldberg; Zhenming Liu (CoRR, 2012)

Why Steiner-tree type algorithms work for community detection. - Mung Chiang; Henry Lam; Zhenming Liu; H. Vincent Poor (AISTATS, 2013)

Optimizing the "one big switch" abstraction in software-defined networks. - Nanxi Kang; Zhenming Liu; Jennifer Rexford; David Walker 001 (CoNEXT, 2013)

The Diffusion of Networking Technologies. - Sharon Goldberg; Zhenming Liu (SODA, 2013)

Statistically-secure ORAM with $ tilde{O}( log^2 n)$ Overhead. - Kai-Min Chung; Zhenming Liu; Rafael Pass (CoRR, 2013)

Mind Your Own Bandwidth: An Edge Solution to Peak-hour Broadband Congestion. - Felix Ming Fai Wong; Carlee Joe-Wong; Sangtae Ha; Zhenming Liu; Mung Chiang (CoRR, 2013)

Statistically-secure ORAM with Õ(log2 n) Overhead. - Kai-Min Chung; Zhenming Liu; Rafael Pass (ASIACRYPT (2), 2014)

Stock Market Prediction from WSJ: Text Mining via Sparse Matrix Factorization. - Felix Ming Fai Wong; Zhenming Liu; Mung Chiang (ICDM, 2014)

From Black-Scholes to Online Learning: Dynamic Hedging under Adversarial Environments. - Henry Lam; Zhenming Liu (CoRR, 2014)

An Unbiased Method To Build Benchmarking Sets for Ligand-Based Virtual Screening and its Application To GPCRs. - Jie Xia; Hongwei Jin; Zhenming Liu; Liang Ren Zhang; Xiang Simon Wang (J. Chem. Inf. Model., 2014)

Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model. - Christopher G. Brinton; Mung Chiang; Shaili Jain; Henry Lam; Zhenming Liu; Felix Ming Fai Wong (IEEE Trans. Learn. Technol., 2014)

Improving user QoE for residential broadband: Adaptive traffic management at the network edge. - Felix Ming Fai Wong; Carlee Joe-Wong; Sangtae Ha; Zhenming Liu; Mung Chiang (IWQoS, 2015)

On the Efficiency of Social Recommender Networks. - Felix Ming Fai Wong; Zhenming Liu; Mung Chiang (IEEE/ACM Trans. Netw., 2016)

From which world is your graph. - Cheng Li; Felix Ming Fai Wong; Zhenming Liu; Varun Kanade (NIPS, 2017)

Delivering Deep Learning to Mobile Devices via Offloading. - Xukan Ran; Haoliang Chen; Zhenming Liu; Jiasi Chen (VR/AR Network@SIGCOMM, 2017)

A Social Network Model Based on the Community Evolutions. - Zhenming Liu; Yueting Chai; Yi Liu 018; Zequn Li 005 (ICEBE, 2018)

DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics. - Xukan Ran; Haoliang Chen; Xiaodan Zhu; Zhenming Liu; Jiasi Chen (INFOCOM, 2018)

Towards Non-Parametric Learning to Rank. - Ao Liu 001; Qiong Wu 008; Zhenming Liu; Lirong Xia (CoRR, 2018)

Multi-objective de novo drug design with conditional graph generative model. - Yibo Li; Liangren Zhang; Zhenming Liu (J. Cheminformatics, 2018)

Near-Neighbor Methods in Random Preference Completion. - Ao Liu 001; Qiong Wu 008; Zhenming Liu; Lirong Xia (AAAI, 2019)

Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning. - Chenrui Zhang; Xiaoqing Lyu; Yifeng Huang; Zhi Tang 001; Zhenming Liu (BIBM, 2019)

Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. - Menghai Pan; Yanhua Li; Xun Zhou 001; Zhenming Liu; Rui Song 006; Hui Lu 005; Jun Luo 007 (SDM, 2019)

Speaking with Actions - Learning Customer Journey Behavior. - Qiong Wu 008; Wen-Ling Hsu; Tan Xu; Zhenming Liu; George Ma; Guy Jacobson; Shuai Zhao (ICSC, 2019)

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. - Zaoxing Liu; Zhihao Bai; Zhenming Liu; Xiaozhou Li; Changhoon Kim; Vladimir Braverman; Xin Jin 008; Ion Stoica (USENIX ATC, 2019)

Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle. - Guojun Wu; Yanhua Li; Zhenming Liu; Jie Bao 003; Yu Zheng 004; Jieping Ye; Jun Luo 007 (CoRR, 2019)

A Deep Learning Framework for Pricing Financial Instruments. - Qiong Wu 008; Zheng Zhang 018; Andrea Pizzoferrato; Mihai Cucuringu; Zhenming Liu (CoRR, 2019)

An Enhanced LRMC Method for Drug Repositioning via GCN-based HIN Embedding. - Haowen Sun; Xiaoqing Lyu; Bei Wang 004; Yifan Wang; Zhi Tang 001; Zhenming Liu (BIBM, 2020)

Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers. - Menghai Pan; Weixiao Huang; Yanhua Li; Xun Zhou 001; Zhenming Liu; Jie Bao 003; Yu Zheng 004; Jun Luo 007 (SIGSPATIAL/GIS, 2020)

On Efficient Constructions of Checkpoints. - Yu Chen 036; Zhenming Liu; Bin Ren; Xin Jin 008 (ICML, 2020)

Adaptive Reduced Rank Regression. - Qiong Wu 008; Felix Ming Fai Wong; Yanhua Li; Zhenming Liu; Varun Kanade (NeurIPS, 2020)

RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers. - Hang Zhu; Kostis Kaffes; Zixu Chen; Zhenming Liu; Christos Kozyrakis; Ion Stoica; Xin Jin 008 (OSDI, 2020)

RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report). - Hang Zhu; Kostis Kaffes; Zixu Chen; Zhenming Liu; Christos Kozyrakis; Ion Stoica; Xin Jin 008 (CoRR, 2020)

Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters. - Qiong Wu 008; Sunil Manandhar; Zhenming Liu (CoRR, 2020)

On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search. - Adam Hare; Yu Chen 036; Yinan Liu; Zhenming Liu; Christopher G. Brinton (CoRR, 2020)

DeepScaffold: A Comprehensive Tool for Scaffold-Based De Novo Drug Discovery Using Deep Learning. - Yibo Li; Jianxing Hu; Yanxing Wang; Jielong Zhou; Liangren Zhang; Zhenming Liu (J. Chem. Inf. Model., 2020)

TF3P: Three-Dimensional Force Fields Fingerprint Learned by Deep Capsular Network. - Yanxing Wang; Jianxing Hu; Junyong Lai; Yibo Li; Hongwei Jin; Li He Zhang; Liang Ren Zhang; Zhenming Liu (J. Chem. Inf. Model., 2020)

Pose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor Agonists. - 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; et al. (J. Chem. Inf. Model., 2020)

DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis. - Menghai Pan; Weixiao Huang; Yanhua Li; Xun Zhou 001; Zhenming Liu; Rui Song 006; Hui Lu 005; Zhihong Tian; Jun Luo 007 (ACM Trans. Intell. Syst. Technol., 2020)

An Order Approach for the Core Maintenance Problem on Edge-Weighted Graphs. - Bin Liu 009; Zhenming Liu; Feiteng Zhang (AAIM, 2021)

Equity2Vec: end-to-end deep learning framework for cross-sectional asset pricing. - Qiong Wu 008; Christopher G. Brinton; Zheng Zhang 018; Andrea Pizzoferrato; Zhenming Liu; Mihai Cucuringu (ICAIF, 2021)

C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Zhenming Liu; Jun Luo 007 (ICDM, 2021)

Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters. - Qiong Wu 008; Zhenming Liu (MSN, 2021)

Toward efficient interactions between Python and native libraries. - Jialiang Tan; Yu Chen 036; Zhenming Liu; Bin Ren; Shuaiwen Leon Song; Xipeng Shen; Xu Liu 001 (ESEC/SIGSOFT FSE, 2021)

Residual Current Detection Method Based on Variational Modal Decomposition and Dynamic Fuzzy Neural Network. - Xiangke Zhang; Zhenming Liu; Yajing Wang; Zhenhai Dou; Guoliang Zhai; Qinqin Wei (IEEE Access, 2021)

LAX-Score: Quantifying Team Performance in Lacrosse and Exploring IMU Features towards Performance Enhancement. - Woosub Jung; Amanda Watson; Scott Kuehn; Erik Korem; Kenneth Koltermann; Minglong Sun; Shuangquan Wang; Zhenming Liu; Gang Zhou (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

AIScaffold: A Web-Based Tool for Scaffold Diversification Using Deep Learning. - Junyong Lai; Xiangbin Li; Yanxing Wang; Shiqiu Yin; Jielong Zhou; Zhenming Liu (J. Chem. Inf. Model., 2021)

Chemical Space, Scaffolds, and Halogenated Compounds of CMNPD: A Comprehensive Chemoinformatic Analysis. - Ningfeng Liu; Junyong Lai; Chuanyu Lyu; Bo Qiang; Heyu Wang; Hongwei Jin; Liangren Zhang; Zhenming Liu (J. Chem. Inf. Model., 2021)

CMNPD: a comprehensive marine natural products database towards facilitating drug discovery from the ocean. - Chuanyu Lyu; Tong Chen; Bo Qiang; Ningfeng Liu; Heyu Wang; Liangren Zhang; Zhenming Liu (Nucleic Acids Res., 2021)

BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation. - Qiong Wu 008; Adam Hare; Sirui Wang; Yuwei Tu; Zhenming Liu; Christopher G. Brinton; Yanhua Li (ACM Trans. Intell. Syst. Technol., 2021)

Towards Socially Acceptable Food Type Recognition. - Junjie Wang; Jiexiong Guan; Y. Alicia Hong; Hong Xue; Shuangquan Wang; Zhenming Liu; Bin Ren; Gang Zhou (MSN, 2022)

Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models. - Qiong Wu 008; Jian Li; Zhenming Liu; Yanhua Li; Mihai Cucuringu (AAAI, 2023)

Towards Reliable Item Sampling for Recommendation Evaluation. - Dong Li; Ruoming Jin; Zhenming Liu; Bin Ren; Jing Gao; Zhi Liu (AAAI, 2023)

Distributional Cloning for Stabilized Imitation Learning via ADMM. - Xin Zhang 098; Yanhua Li; Ziming Zhang; Christopher G. Brinton; Zhenming Liu; Zhi-Li Zhang (ICDM, 2023)

Parallel Software for Million-scale Exact Kernel Regression. - Yu Chen 036; Lucca Skon; James R. McCombs; Zhenming Liu; Andreas Stathopoulos (ICS, 2023)

Fully Integrated High-Frequency MEMS and CMOS Inertial Measurement Systems: Taking a Journey from Silicon to Silicon Carbide. - Farrokh Ayazi; Haoran Wen; Gregory Villiam Junek; Zhenming Liu; Chris Heaton (PLANS, 2023)

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. - Guojun Wu; Xin Zhang 098; Ziming Zhang; Yanhua Li; Xun Zhou 001; Christopher G. Brinton; Zhenming Liu (WACV, 2023)

Uni-RXN: A Unified Framework Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation. - Bo Qiang; Yiran Zhou; Yuheng Ding; Ningfeng Liu; Song Song; Liangren Zhang; Bo Huang; Zhenming Liu (CoRR, 2023)

Order based algorithms for the core maintenance problem on edge-weighted graphs. - Feiteng Zhang; Bin Liu 009; Zhenming Liu; Qizhi Fang (Theor. Comput. Sci., 2023)

Bridging the gap between chemical reaction pretraining and conditional molecule generation with a unified model. - Bo Qiang; Yiran Zhou; Yuheng Ding; Ningfeng Liu; Song Song; Liangren Zhang; Bo Huang; Zhenming Liu (Nat. Mac. Intell., 2023)

Sensitive Membrane Resonator Sensor for Sub-Micron Diameter Particle Counting. - A. Jaafar; Zhenming Liu; X. Jiang; D. Struk; Peter J. Hesketh; Farrokh Ayazi; A. Ojha; Christopher J. Hogan (ISOEN, 2024)

Latent Chemical Space Searching for Plug-in Multi-objective Molecule Generation. - Ningfeng Liu; Jie Yu; Siyu Xiu; Xinfang Zhao; Siyu Lin; Bo Qiang; Ruqiu Zheng; Hongwei Jin; Liangren Zhang; Zhenming Liu (CoRR, 2024)

Development and Evaluation Study of Intelligent Cockpit in the Age of Large Models. - Jun Ma 036; Meng Wang 009; Jinhui Pang; Haofen Wang; Xuejing Feng; Zhipeng Hu; Zhenyu Yang; Mingyang Guo; Zhenming Liu; Junwei Wang; Siyi Lu; Zhiming Gou (CoRR, 2024)

MEMS Gyroscope Multi-Feature Calibration Using Machine Learning Technique. - Yaoyao Long; Zhenming Liu; Cong Hao; Farrokh Ayazi (CoRR, 2024)

Exploring Chemical Reaction Space with Machine Learning Models: Representation and Feature Perspective. - Yuheng Ding; Bo Qiang; Qixuan Chen; Yiqiao Liu; Liangren Zhang; Zhenming Liu (J. Chem. Inf. Model., 2024)

On Item-Sampling Evaluation for Recommender System. - Dong Li; Ruoming Jin; Zhenming Liu; Bin Ren; Jing Gao; Zhi Liu (Trans. Recomm. Syst., 2024)

Pyxis: Scheduling Mixed Tasks in Disaggregated Datacenters. - Sheng Qi; Chao Jin; Mosharaf Chowdhury; Zhenming Liu; Xuanzhe Liu; Xin Jin 008 (IEEE Trans. Parallel Distributed Syst., 2024)

Exploration of Psychometric Applications and Personality Characteristics Fine-Tuning Methods of In-Vehicle Large Language Models in Intelligent Cockpits. - Qianli Lin; Zhipeng Hu; Zhenming Liu; Jun Ma 036 (HCI (32), 2025)

Towards Recognizing Food Types for Unseen Subjects. - Jiexiong Guan; Junjie Wang; Wei Niu 002; Zhen Peng; Shuangquan Wang; Zhenming Liu; Gang Zhou; Bin Ren (ACM Trans. Comput. Heal., 2025)

C3-GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Zhenming Liu; Jun Luo 007 (ACM Trans. Knowl. Discov. Data, 2025)