| 2025 | ICCD | NaviMap: Partial Order-Guided Neural Architecture via Deep Q-Networks for Efficient CGRA Mapping. | Mingyang Kou, Jun Zeng, Xinyu Peng, Weiqing Ji, Hailong Yao |
| 2025 | NDSS | UI-CTX: Understanding UI Behaviors with Code Contexts for Mobile Applications. | Jiawei Li, Jiahao Liu, Jian Mao, Jun Zeng, Zhenkai Liang |
| 2025 | NDSS | ProvGuard: Detecting SDN Control Policy Manipulation via Contextual Semantics of Provenance Graphs. | Ziwen Liu, Jian Mao, Jun Zeng, Jiawei Li, Qixiao Lin, Jiahao Liu, Jianwei Zhuge, Zhenkai Liang |
| 2024 | CCS | The HitchHiker's Guide to High-Assurance System Observability Protection with Efficient Permission Switches. | Chuqi Zhang, Jun Zeng, Yiming Zhang, Adil Ahmad, Fengwei Zhang, Hai Jin, Zhenkai Liang |
| 2024 | EuroSys | Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. | Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu |
| 2024 | NSDI | LuoShen: A Hyper-Converged Programmable Gateway for Multi-Tenant Multi-Service Edge Clouds. | Tian Pan, Kun Liu, Xionglie Wei, Yisong Qiao, Jun Hu, Zhiguo Li, Jun Liang, Tiesheng Cheng, Wenqiang Su, Jie Lu, Yuke Hong, Zhengzhong Wang, Zhi Xu, Chongjing Dai, Peiqiao Wang, Xuetao Jia, Jianyuan Lu, Enge Song, Jun Zeng, Biao Lyu, Ennan Zhai, Jiao Zhang, Tao Huang, Dennis Cai, Shunmin Zhu |
| 2023 | AAAI | Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble. | Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou |
| 2023 | IJCNN | SynC: A Dense Retrieval Method based on Syntactical Contrastive Learning. | Hongjin Tao, Jun Zeng, Yang Yu, Ziwei Wang, Xiaolin Hu |
| 2023 | IJCNN | RBPSum: An extractive summarization approach using Bi-Stream Attention and Position Residual Connection. | Ziwei Wang, Jun Zeng, Hongjin Tao, Lin Zhong |
| 2023 | IROS | Walking in Narrow Spaces: Safety-Critical Locomotion Control for Quadrupedal Robots with Duality-Based Optimization. | Qiayuan Liao, Zhongyu Li, Akshay Thirugnanam, Jun Zeng, Koushil Sreenath |
| 2023 | ICSE | Learning Graph-based Code Representations for Source-level Functional Similarity Detection. | Jiahao Liu, Jun Zeng, Xiang Wang, Zhenkai Liang |
| 2023 | ICWS | Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. | Hongjin Tao, Jun Zeng, Ziwei Wang, Min Gao, Junhao Wen |
| 2023 | IECON | Obstacle Avoidance for Unicycle-Modelled Mobile Robots with Time-Varying Control Barrier Functions. | Jihao Huang, Zhitao Liu, Jun Zeng, Xuemin Chi, Hongye Su |
| 2022 | CCS | PalanTr: Optimizing Attack Provenance with Hardware-enhanced System Observability. | Jun Zeng, Chuqi Zhang, Zhenkai Liang |
| 2022 | DAC | GEML: GNN-based efficient mapping method for large loop applications on CGRA. | Mingyang Kou, Jun Zeng, Boxiao Han, Fei Xu, Jiangyuan Gu, Hailong Yao |
| 2022 | ESORICS | AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports. | Zhenyuan Li, Jun Zeng, Yan Chen, Zhenkai Liang |
| 2022 | ICRA | Autonomous Racing with Multiple Vehicles using a Parallelized Optimization with Safety Guarantee using Control Barrier Functions. | Suiyi He, Jun Zeng, Koushil Sreenath |
| 2022 | IROS | Adapting Rapid Motor Adaptation for Bipedal Robots. | Ashish Kumar, Zhongyu Li, Jun Zeng, Deepak Pathak, Koushil Sreenath, Jitendra Malik |
| 2022 | ICRA | Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions. | Akshay Thirugnanam, Jun Zeng, Koushil Sreenath |
| 2022 | ICRA | Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control. | Lizhi Yang, Zhongyu Li, Jun Zeng, Koushil Sreenath |
| 2022 | ISSTA | TeLL: log level suggestions via modeling multi-level code block information. | Jiahao Liu, Jun Zeng, Xiang Wang, Kaihang Ji, Zhenkai Liang |
| 2022 | SEKE | A Zero-Shot Relation Extraction Approach Based on Contrast Learning. | Hongyu Zhu, Jun Zeng, Yu Yang, Yingbo Wu |
| 2022 | SP | SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records. | Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua |
| 2021 | ICIP | Pavement Crack Detection Using Multi-stage Structural Feature Extraction Model. | Lijuan Duan, Jun Zeng, Junbiao Pang, Junzhe Wang |
| 2021 | ICONIP | GRU with Level-Aware Attention for Rumor Early Detection in Social Networks. | Yu Wang, Wei Zhou, Junhao Wen, Jun Zeng, Haoran He, Lin Liu |
| 2021 | IJCNN | Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. | Juan Yao, Jun Zeng, Junhao Wen, Wei Zhou, Min Gao |
| 2021 | ICRA | Robotic Guide Dog: Leading a Human with Leash-Guided Hybrid Physical Interaction. | Anxing Xiao, Wenzhe Tong, Lizhi Yang, Jun Zeng, Zhongyu Li, Koushil Sreenath |
| 2021 | NDSS | WATSON: Abstracting Behaviors from Audit Logs via Aggregation of Contextual Semantics. | Jun Zeng, Zheng Leong Chua, Yinfang Chen, Kaihang Ji, Zhenkai Liang, Jian Mao |
| 2021 | WCNC | Deep Transfer Learning for 5G Massive MIMO Downlink CSI Feedback. | Jun Zeng, Zhengran He, Jinlong Sun, Bamidele Adebisi, Haris Gacanin, Guan Gui, Fumiyuki Adachi |
| 2020 | COLING | CLUE: A Chinese Language Understanding Evaluation Benchmark. | Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan |
| 2020 | ICONIP | DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. | Jun Zeng, Haoran Tang, Junhao Wen |
| 2020 | IROS | Dynamic Legged Manipulation of a Ball Through Multi-Contact Optimization. | Chenyu Yang, Bike Zhang, Jun Zeng, Ayush Agrawal, Koushil Sreenath |
| 2020 | VTC | Cellular Network Performance using Machine Learning based Quantitative Association Rule Mining Method. | Guanghui Fan, Juan Wang, Kaixuan Zhang, Jun Zeng, Guan Gui |
| 2020 | VTC | Lightweight Comprehensive Evaluation Method for Wireless User Perception Based on Random Forest. | Kaixuan Zhang, Guanghui Fan, Jun Zeng, Guan Gui |
| 2020 | SERVICES | Web Service Discovery Based on Knowledge Graph and Similarity Network. | Yang Yu, Jun Zeng, Juan Yao, Junhao Wen, Bin Xing |
| 2019 | SEKE | A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation. | Jun Zeng, Haoran Tang, Yinghua Li, Xin He |
| 2017 | IECON | Multi-agents based distributed-energy-resource management for intelligent microgrid with potential game algorithm. | Weijie Lin, Y. R. Chen, Qiaoqiao Wang, Jun Zeng, Junfeng Liu |
| 2017 | IECON | Switched Z-source DC-DC converter. | Jun Zeng, Jialei Wu, Zehui Yu, Junfeng Liu |
| 2015 | DSAA | RIMM: A novel map matching model with rotational invariance. | Junpeng Bao, Qian Cao, Yuepeng Zhang, Jun Zeng, De Zhang |
| 2011 | ICCAD | The role of EDA in digital print automation and infrastructure optimization. | Krishnendu Chakrabarty, Gary Dispoto, Rick Bellamy, Jun Zeng |
| 2010 | ICCAD | Digital microfluidic biochips: A vision for functional diversity and more than moore. | Tsung-Yi Ho, Jun Zeng, Krishnendu Chakrabarty |
| 2009 | MASS | Pattern Formation Using Multiple Robots. | Jun Zeng, Daoyong Liu, Alei Liang, Haibing Guan |
| 2006 | ICARCV | A Soft Sensor Based on Multiple Neural Networks Combined with Two Information Fusion Methods. | Tao Ye, Xuefeng Zhu, Xiangyang Li, Yan Li, Jun Zeng |
| 2006 | ICARCV | Analysis of Vehicle Emissions and Prediction of Gross Emitter using Remote Sensing Data. | Jun Zeng, Huafang Guo, Yueming Hu, Tao Ye |
| 2004 | DAC | Design tools for BioMEMS. | Tom Korsmeyer, Jun Zeng, Ken Greiner |