Analysis and Processing on the Composing of Noun Conglomeration Combination. - Liang Xiong; Quan Zhang (PACLIC, 2006)

Discriminant Additive Tangent Spaces for Object Recognition. - Liang Xiong; Jianguo Li; Changshui Zhang (CVPR, 2007)

Semi-definite Manifold Alignment. - Liang Xiong; Fei Wang 001; Changshui Zhang (ECML, 2007)

Multilevel Belief Propagation for Fast Inference on Markov Random Fields. - Liang Xiong; Fei Wang 001; Changshui Zhang (ICDM, 2007)

Improving Robustness and Accuracy in Moving Object Detection Using Section-Distribution Background Model. - Yi Tang; Wei-Ming Liu 003; Liang Xiong (ICNC (6), 2008)

Guide Manifold Alignment by Relative Comparisons. - Liang Xiong (Encyclopedia of Data Warehousing and Mining, 2009)

Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. - Liang Xiong; Xi Chen 010; Tzu-Kuo Huang; Jeff G. Schneider; Jaime G. Carbonell (SDM, 2010)

Effect of hesperidin extraction on the bone marrow polychromatophilic erythroblast micronucleus of exercise fatigue. - Shumei Li; Xiaoting Luo; Sisi Li; Liang Xiong; Minghua Dong (BMEI, 2011)

Relationship between protective effect of hesperidin extraction on exercise fatigue and antioxidation. - Xiaoting Luo; Shumei Li; Sisi Li; Liang Xiong; Minghua Dong (BMEI, 2011)

Direct Robust Matrix Factorizatoin for Anomaly Detection. - Liang Xiong; Xi Chen 010; Jeff G. Schneider (ICDM, 2011)

Group Anomaly Detection using Flexible Genre Models. - Liang Xiong; Barnabás Póczos; Jeff G. Schneider (NIPS, 2011)

Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions. - Barnabás Póczos; Liang Xiong; Jeff G. Schneider (UAI, 2011)

Hierarchical Probabilistic Models for Group Anomaly Detection. - Liang Xiong; Barnabás Póczos; Jeff G. Schneider; Andrew J. Connolly; Jake VanderPlas (AISTATS, 2011)

Nonparametric kernel estimators for image classification. - Barnabás Póczos; Liang Xiong; Danica J. Sutherland; Jeff G. Schneider (CVPR, 2012)

Protein subcellular location pattern classification in cellular images using latent discriminative models. - Jieyue Li; Liang Xiong; Jeff G. Schneider; Robert F. Murphy (Bioinform., 2012)

Support Distribution Machines - Barnabás Póczos; Liang Xiong; Danica J. Sutherland; Jeff G. Schneider (CoRR, 2012)

Efficient Learning on Point Sets. - Liang Xiong; Barnabás Póczos; Jeff G. Schneider (ICDM, 2013)

On Learning from Collective Data. - Liang Xiong (2013)

Learning from Point Sets with Observational Bias. - Liang Xiong; Jeff G. Schneider (UAI, 2014)

Development of stereo vision and master-slave controller for a compact surgical robot system. - Yi Xie; Linfei Xiong; Yizhi Shi; Liang Xiong; Rahman Davoodi; Yao Li (ROBIO, 2015)

A Study on Online Corrosion Risk Perception Technology for Process Industry Safety IoTs Based on Demands of Assets Integrity Management. - Liang Xiong; Guanglei Lv; Guangpei Cong; Fengqi He; Shi He; Yunjiang Sun (IoTaaS, 2017)

Identification of finger movements from forearm surface EMG using an augmented probabilistic neural network. - Jianting Fu; Liang Xiong; Xiaoying Song; Zhuo Yan; Yi Xie (SII, 2017)

A compact 2.4GHz polar/quadrature reconfigurable digital power amplifier in 28nm logic LP CMOS. - Yiting Zhu; Liang Xiong; Yun Yin; Wei Luo 005; Bowen Chen; Tong Li; Hongtao Xu (CICC, 2018)

Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective. - Kim M. Hazelwood; Sarah Bird; David M. Brooks; Soumith Chintala; Utku Diril; Dmytro Dzhulgakov; Mohamed Fawzy; Bill Jia; Yangqing Jia; Aditya Kalro; James Law; Kevin Lee; et al. (HPCA, 2018)

A compact dual-band digital doherty power amplifier using parallel-combining transformer for cellular NB-IoT applications. - Yun Yin; Liang Xiong; Yiting Zhu; Bowen Chen; Hao Min; Hongtao Xu (ISSCC, 2018)

Overview on Vision-Based 3D Object Recognition Methods. - Tianzhen Dong; Xiao Qi; Qing Zhang 004; Wenju Li; Liang Xiong (ICIG (2), 2019)

A Broadband Switched-Transformer Digital Power Amplifier for Deep Back-Off Efficiency Enhancement. - Liang Xiong; Tong Li; Yun Yin; Hao Min; Na Yan; Hongtao Xu (ISSCC, 2019)

Variational Training for Large-Scale Noisy-OR Bayesian Networks. - Geng Ji 001; Dehua Cheng; Huazhong Ning; Changhe Yuan; Hanning Zhou; Liang Xiong; Erik B. Sudderth (UAI, 2019)

Deep Learning Recommendation Model for Personalization and Recommendation Systems. - Maxim Naumov; Dheevatsa Mudigere; Hao-Jun Michael Shi; Jianyu Huang; Narayanan Sundaraman; Jongsoo Park; Xiaodong Wang 020; Udit Gupta; Carole-Jean Wu; Alisson G. Azzolini; Dmytro Dzhulgakov; Andrey Mallevich; et al. (CoRR, 2019)

The Architectural Implications of Facebook's DNN-based Personalized Recommendation. - Udit Gupta; Xiaodong Wang 020; Maxim Naumov; Carole-Jean Wu; Brandon Reagen; David Brooks 001; Bradford Cottel; Kim M. Hazelwood; Bill Jia; Hsien-Hsin S. Lee; Andrey Malevich; Dheevatsa Mudigere; et al. (CoRR, 2019)

A Compact Dual-Band Digital Polar Doherty Power Amplifier Using Parallel-Combining Transformer. - Yun Yin; Liang Xiong; Yiting Zhu; Bowen Chen; Hao Min; Hongtao Xu (IEEE J. Solid State Circuits, 2019)

A Compact Transformer-Combined Polar/Quadrature Reconfigurable Digital Power Amplifier in 28-nm Logic LP CMOS. - Yun Yin; Yiting Zhu; Liang Xiong; Wei Luo 005; Bowen Chen; Tong Li; Na Yan; Hongtao Xu (IEEE J. Solid State Circuits, 2019)

Nonlinear Analytical Model for Switched-Capacitor Class-D RF Power Amplifiers. - Wei Luo 005; Yun Yin; Liang Xiong; Tong Li; Hongtao Xu (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Ranking on Network of Heterogeneous Information Networks. - Zhe Xu 007; Si Zhang; Yinglong Xia; Liang Xiong; Hanghang Tong (IEEE BigData, 2020)

The Architectural Implications of Facebook's DNN-Based Personalized Recommendation. - Udit Gupta; Carole-Jean Wu; Xiaodong Wang 020; Maxim Naumov; Brandon Reagen; David Brooks 001; Bradford Cottel; Kim M. Hazelwood; Mark Hempstead; Bill Jia; Hsien-Hsin S. Lee; Andrey Malevich; et al. (HPCA, 2020)

Optimization of Clothing Supply Standard Based on Big Data. - Chenggong Zhai; Liang Xiong; Yan Li (ICBDC, 2020)

24.5 A 15b Quadrature Digital Power Amplifier with Transformer-Based Complex-Domain Power-Efficiency Enhancement. - Diyang Zheng; Yun Yin; Yiting Zhu; Liang Xiong; Yicheng Li; Na Yan; Hongtao Xu (ISSCC, 2020)

NetTrans: Neural Cross-Network Transformation. - Si Zhang; Hanghang Tong; Yinglong Xia; Liang Xiong; Jiejun Xu (KDD, 2020)

Repair Delay Performance Analysis of Mobile Caching Systems Using Erasure Codes. - Wancheng Lu; Ye Wang 002; Shushi Gu; Liang Xiong; Qinyu Zhang 001 (VTC Spring, 2020)

Deep Learning Based User Association in Heterogeneous Wireless Networks. - Yalin Zhang; Liang Xiong; Jia Yu (IEEE Access, 2020)

Z-eigenvalue inclusion theorem of tensors and the geometric measure of entanglement of multipartite pure states. - Liang Xiong; Jianzhou Liu (Comput. Appl. Math., 2020)

ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training. - Qinqing Zheng; Bor-Yiing Su; Jiyan Yang; Alisson G. Azzolini; Qiang Wu; Ou Jin; Shri Karandikar; Hagay Lupesko; Liang Xiong; Eric Zhou (CoRR, 2020)

Time-based Sequence Model for Personalization and Recommendation Systems. - Tigran Ishkhanov; Maxim Naumov; Xianjie Chen; Yan Zhu; Yuan Zhong; Alisson Gusatti Azzolini; Chonglin Sun; Frank Jiang 005; Andrey Malevich; Liang Xiong (CoRR, 2020)

A Broadband Switched-Transformer Digital Power Amplifier for Deep Back-Off Efficiency Enhancement. - Yun Yin; Tong Li; Liang Xiong; Yicheng Li 002; Hao Min; Na Yan; Hongtao Xu (IEEE J. Solid State Circuits, 2020)

DESTINE: Dense Subgraph Detection on Multi-Layered Networks. - Zhe Xu 007; Si Zhang; Yinglong Xia; Liang Xiong; Jiejun Xu; Hanghang Tong (CIKM, 2021)

Efficient Dynamic Graph Representation Learning at Scale. - Xinshi Chen; Yan Zhu; Haowen Xu; Mengyang Liu; Liang Xiong; Muhan Zhang; Le Song (CoRR, 2021)

A Contactless Liquor Level Detection Method Using Terahertz Time-Domain Spectroscopy. - Boqin Yang; Hu Deng; Quancheng Liu; Linyu Chen; Liang Xiong; Zhixiang Wu; Weiwei Qu; Liping Shang (J. Sensors, 2021)

High-Sensitivity Multiband Detection Based on the Local Enhancement Effect of an Electric Field at Terahertz Frequency. - Zhonggang Xiong; Liping Shang; Hu Deng; Liang Xiong; Linyu Chen; Jin Guo; Guilin Li (J. Sensors, 2022)

A 15-Bit Quadrature Digital Power Amplifier With Transformer-Based Complex-Domain Efficiency Enhancement. - Yicheng Li 002; Yun Yin; Diyang Zheng; Xianglong Jia; Jie Lin; Fu Gao; Yiting Zhu; Liang Xiong; Na Yan; Ye Lu 005; Hongtao Xu (IEEE J. Solid State Circuits, 2022)

The geometric measure of entanglement of multipartite states and the Z-eigenvalue of tensors. - Liang Xiong; Jianzhou Liu; Qi Qin (Quantum Inf. Process., 2022)

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. - Tunhou Zhang; Dehua Cheng; Yuchen He; Zhengxing Chen; Xiaoliang Dai; Liang Xiong; Feng Yan 001; Hai Li 001; Yiran Chen 001; Wei Wen (WWW, 2023)

A Double-Switch Single-Transformer Integrated Equalizer for the Recycled Power Battery String of Automatic Guided Vehicles. - Bin Xu; Zhaotian Yan; Liang Xiong; Lu Zhang; Wei Zhou 024; Ruikun Mai; Zhengyou He; Lizhou Liu (IEEE Trans. Ind. Electron., 2023)

A Fully-Integrated Wideband Digital Polar Transmitter With 11-bit Digital-to-Phase Converter in 40nm CMOS. - Chunxiao Hu; Yun Yin; Tong Li; Yangzi Liu; Liang Xiong; Hongtao Xu (IEEE J. Solid State Circuits, 2023)

Multipartite strongly symmetric states and applications to geometric entanglement and classicality. - Liang Xiong; Qi Qin; Jianzhou Liu; Zhirui Gong; Zhanfeng Jiang; Nung-sing Sze (Quantum Inf. Process., 2023)

Enhancing Spatial Visualization Skills Through 3D Modeling and Printing: A Comprehensive Dataset from Chinese University Students. - Wei-Zhi Yang; Chowwalit Chookhampaeng; Jiraporn Chano; Yun-Hua Ding; Yun Liu; Min-Chang Gon; Liang Xiong (DSIT, 2024)

Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. - Wei Wen; Kuang-Hung Liu; Igor Fedorov; Xin Zhang 054; Hang Yin 005; Weiwei Chu; Kaveh Hassani; Mengying Sun; Jiang Liu 011; Xu Wang; Lin Jiang; Yuxin Chen 001; et al. (WWW (Companion Volume), 2024)

Tensor-generated matrices and tensor H-eigenvalues distribution. - Liang Xiong; Jianzhou Liu (CoRR, 2024)

Characterizing High Schmidt Number Witnesses in Arbitrary Dimensions System. - Liang Xiong; Nung-sing Sze (CoRR, 2025)

Towards Automated Model Design on Recommender Systems. - Tunhou Zhang; Dehua Cheng; Yuchen He; Zhengxing Chen; Xiaoliang Dai; Liang Xiong; Yudong Liu; Feng Cheng; Yufan Cao 002; Feng Yan 001; Hai Li 001; Yiran Chen 001; et al. (Trans. Recomm. Syst., 2025)