Joint Position, Orientation AND Channel Estimation in Hybrid mmWAVE MIMO Systems. - Wenqing Zheng; Nuria González-Prelcic (ACSSC, 2019)

Blind Image Blur Assessment Based on Markov-Constrained FCM and Blur Entropy. - Yaqian Xu; Wenqing Zheng; Jingchen Qi; Qi Li (ICIP, 2019)

Web of Scholars: A Scholar Knowledge Graph. - Jiaying Liu 006; Jing Ren 001; Wenqing Zheng; Lianhua Chi; Ivan Lee 001; Feng Xia 001 (SIGIR, 2020)

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems. - Wenqing Zheng; Qiangqiang Guo; Hao Yang 018; Peihao Wang; Zhangyang Wang (NeurIPS, 2021)

Structured DropConnect for Uncertainty Inference in Image Classification. - Wenqing Zheng; Jiyang Xie 001; Weidong Liu; Zhanyu Ma (CoRR, 2021)

Exploring the molecular basis of UG-rich RNA recognition by the human splicing factor TDP-43 using molecular dynamics simulation and free energy calculation. - Han Sun; Wei Chen 114; Lin Chen 048; Wenqing Zheng (J. Comput. Chem., 2021)

Balance Design of Production Line in Engine Assembly Workshop. - Wenqing Zheng; Siqi Zhang (CACML, 2022)

Structured Dropconnect for Uncertainty Inference in Image Classification. - Wenqing Zheng; Jiyang Xie 001; Xian Sun; Zhanyu Ma (ICIP, 2022)

Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. - Peihao Wang; Wenqing Zheng; Tianlong Chen 001; Zhangyang Wang (ICLR, 2022)

Symbolic Learning to Optimize: Towards Interpretability and Scalability. - Wenqing Zheng; Tianlong Chen 001; Ting-Kuei Hu; Zhangyang Wang (ICLR, 2022)

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. - Wenqing Zheng; Edward W. Huang; Nikhil Rao 001; Sumeet Katariya; Zhangyang Wang; Karthik Subbian (ICLR, 2022)

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. - Keyu Duan; Zirui Liu 001; Peihao Wang; Wenqing Zheng; Kaixiong Zhou; Tianlong Chen 001; Xia Hu 001; Zhangyang Wang (NeurIPS, 2022)

Symbolic Distillation for Learned TCP Congestion Control. - S. P. Sharan; Wenqing Zheng; Kuo-Feng Hsu; Jiarong Xing; Ang Chen 001; Zhangyang Wang (NeurIPS, 2022)

Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. - Ting-Kuei Hu; Fernando Gama; Tianlong Chen 001; Wenqing Zheng; Zhangyang Wang; Alejandro Ribeiro; Brian M. Sadler (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation. - Wenqing Zheng; S. P. Sharan; Ajay Kumar Jaiswal; Kevin Wang; Yihan Xi; Dejia Xu; Zhangyang Wang (ICML, 2023)

Search Behavior Prediction: A Hypergraph Perspective. - Yan Han 001; Edward W. Huang; Wenqing Zheng; Nikhil Rao 001; Zhangyang Wang; Karthik Subbian (WSDM, 2023)

Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. - Yan Han 001; Yuning You; Wenqing Zheng; Scott Hoang; Tianxin Wei; Majdi Hassan; Tianlong Chen 001; Ying Ding 001; Yang Shen 001; Zhangyang Wang (IEEE Data Eng. Bull., 2023)

You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. - Wenqing Zheng; Edward W. Huang; Nikhil Rao 001; Zhangyang Wang; Karthik Subbian (Trans. Mach. Learn. Res., 2023)

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. - Tianlong Chen 001; Kaixiong Zhou; Keyu Duan; Wenqing Zheng; Peihao Wang; Xia Hu 001; Zhangyang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Integrating the traffic science with representation learning for city-wide network congestion prediction. - Wenqing Zheng; Hao (Frank) Yang; Jiarui Cai; Peihao Wang; Xuan Jiang; Simon Shaolei Du; Yinhai Wang; Zhangyang Wang (Inf. Fusion, 2023)

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. - Yihua Zhang; Pingzhi Li; Junyuan Hong; Jiaxiang Li; Yimeng Zhang; Wenqing Zheng; Pin-Yu Chen; Jason D. Lee; Wotao Yin; Mingyi Hong 001; Zhangyang Wang; Sijia Liu 001; et al. (ICML, 2024)

Distributed UAV Beamforming Using Graph Recurrent Neural Networks. - Wenqing Zheng; Brian M. Sadler; Fernando Gama; Tianlong Chen 001 (SAM, 2024)

It's better than nothing: The influence of service failures on user reusage intention in AI chatbot. - Jinao Zhang; Xinyuan Lu; Wenqing Zheng; Xuelin Wang (Electron. Commer. Res. Appl., 2024)

Symbolic Visual Reinforcement Learning: A Scalable Framework With Object-Level Abstraction and Differentiable Expression Search. - Wenqing Zheng; S. P. Sharan; Zhiwen Fan; Kevin Wang; Yihan Xi; Zhangyang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Explain What You Mean: Intent Augmented Knowledge Graph Recommender Built With An LLM. - Wenqing Zheng; Noah Fatsi; Daniel Barcklow; Dmitri Kalaev; Steven Yao; Owen Reinert; C. Bayan Bruss; Daniele Rosa (CoRR, 2025)