| 2026 | AAAI | Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups. | Guangyan Gan, Ling Zhang, Yanhua Cheng, Yongxiang Tang, Kaiyuan Li, Xialong Liu, Peng Jiang |
| 2026 | AAAI | Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning. | Yimin Liu, Peng Jiang, Qi Liu, Liehuang Zhu |
| 2026 | AAAI | Align³GR: Unified Multi-Level Alignment for LLM-based Generative Recommendation. | Wencai Ye, Mingjie Sun, Shuhang Chen, Wenjin Wu, Peng Jiang |
| 2026 | ACISP | Secure Sealed-Bidding Networks via Conditional Time-Aware Access Authorization. | Qi Liu, Peng Jiang, Yimin Liu, Zhen Zhao, Liehuang Zhu |
| 2026 | DASFAA | TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation. | Yu Xia, Rui Zhong, Zeyu Song, Wei Yang, Junchen Wan, Qingpeng Cai, Chi Lu, Peng Jiang |
| 2026 | INFOCOM | Reputation-Based Leader Election under Partial Synchrony: Towards a Protocol-Independent Abstraction with Enhanced Guarantees. | Xuyang Liu, Zijian Zhang, Zhen Li, Jiahang Sun, Jiamou Liu, Peng Jiang |
| 2026 | INFOCOM | Chameleon: Adaptive Fault Tolerance for Distributed Training via Real-time Policy Selection. | Yuhang Zhou, Zhibin Wang, Peng Jiang, Haoran Xia, Junhe Lu, Qianyu Jiang, Rong Gu, Hengxi Xu, Xinjing Huang, Guanghuan Fang, Zhiheng Hu, Jingyi Zhang, Yongjin Cai, Jian He, Chen Tian |
| 2026 | ICS | DCSM: Enabling Inter-Batch Parallelism for Continuous Subgraph Matching on GPU. | Yihua Wei, Peng Jiang |
| 2026 | NDSS | KnowHow: Automatically Applying High-Level CTI Knowledge for Interpretable and Accurate Provenance Analysis. | Yuhan Meng, Shaofei Li, Jiaping Gui, Peng Jiang, Ding Li |
| 2026 | PERCOM | D-SYNC: Enhancing Vehicle Localization with Dashcam-Satellite Image Synchronization. | Peng Jiang, Liuwan Zhu, Rui Ning, Hongyi Wu, Chunsheng Xin |
| 2026 | WWW | LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting. | Yewen Li, Zhiyi Lyu, Peng Jiang, Qingpeng Cai, Fei Pan, Bo An, Peng Jiang |
| 2026 | WWW | Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations. | Minmao Wang, Xingchen Liu, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang |
| 2026 | SIGIR | ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation. | Hao Jiang, Long Zhang, Guoquan Wang, Sheng Yu, Yang Zeng, Wencong Zeng, Fei Pan, Peng Jiang, Guorui Zhou |
| 2026 | SIGIR | Enhancing Multi-Valued Treatment Uplift Modeling with Knowledge Sharing and RCT Data. | Jiaxiang Liu, Luo He, Zhenghao Zeng, Deqiang Kong, Funan Mu, Jiaming Zhang, Zilong Lu, Peng Jiang, Hongyan Liu |
| 2026 | SIGIR | R&F-Inventory: A Large-Scale Dataset for Monotonic Inventory Estimation in Reach and Frequency Advertising. | Yunshan Peng, Ji Wu, Wentao Bai, Yunke Bai, Jinan Pang, Wenzheng Shu, Yanxiang Zeng, Xialong Liu, Peng Jiang |
| 2026 | SIGIR | CS3: Efficient Online Capability Synergy for Two-Tower Recommendation. | Lixiang Wang, Shaoyun Shi, Peng Wang, Wenjin Wu, Peng Jiang |
| 2026 | SIGIR | OPS: An Order-Preserving Sorting Network for Information Retrieval. | Chao Wang, Yongxiang Tang, Guikai Luan, Kaiyuan Li, Yanhua Cheng, Xialong Liu, Shu Wu, Peng Jiang |
| 2026 | WSDM | TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction. | Minmao Wang, Rui Zhang, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang |
| 2025 | AAAI | LLM-Powered User Simulator for Recommender System. | Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang |
| 2025 | AAAI | LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. | Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai |
| 2025 | AAAI | D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching. | Jingyu Liu, Minquan Wang, Ye Ma, Bo Wang, Aozhu Chen, Quan Chen, Peng Jiang, Xirong Li |
| 2025 | AAAI | Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion. | Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang |
| 2025 | ACISP | sfGlitter: A Fully Adaptive and Tightly Secure Threshold Signature. | Shaolong Tang, Peng Jiang, Liehuang Zhu |
| 2025 | CIKM | Personalized Tree-Based Progressive Regression Model for Watch-Time Prediction in Short Video Recommendation. | Xiaokai Chen, Xiao Lin, Changcheng Li, Peng Jiang |
| 2025 | CIKM | Expert-Guided Diffusion Planner for Auto-Bidding. | Yunshan Peng, Wenzheng Shu, Jiahao Sun, Yanxiang Zeng, Jinan Pang, Wentao Bai, Yunke Bai, Xialong Liu, Peng Jiang |
| 2025 | CIKM | DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System. | Wencai Ye, Mingjie Sun, Shaoyun Shi, Peng Wang, Wenjin Wu, Peng Jiang |
| 2025 | CLOUD | Cost-Efficient Cloud Infrastructure with Hugepage-aware Memory Deduplication. | Ruizhe Huang, Xinyu Wang, Zhida An, Hanwen Lei, Peng Jiang, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen, Yuntao Liu, Kang Zhou, Yuxin Ren, Ning Jia, Xinwei Hu |
| 2025 | CVPR | XYScanNet: A State Space Model for Single Image Deblurring. | Hanzhou Liu, Chengkai Liu, Jiacong Xu, Peng Jiang, Mi Lu |
| 2025 | ECIR | LS-Dashboard: A Tool for Monitoring and Analyzing Data Annotation in Machine Learning Classification Tasks. | Vinicius Monteiro de Lira, Peng Jiang |
| 2025 | EMNLP | Improving Preference Alignment of LLM with Inference-Free Self-Refinement. | Fukun Ma, Kaibin Tian, Jieting Xue, Xiaoyi Wang, Ye Ma, Quan Chen, Peng Jiang, Lijie Wen |
| 2025 | GLOBECOM | Dynamic Graph Learning-based Positioning for Cell-Free ISAC Systems. | Peng Jiang, Rang Liu, Qian Liu, Ming Li |
| 2025 | HPCA | DPUaudit: DPU-assisted Pull-based Architecture for Near-Zero Cost System Auditing. | Peng Jiang, Hanlin Jiang, Ruizhe Huang, Hanwen Lei, Zhineng Zhong, Shaokun Zhang, Yuxin Ren, Ning Jia, Xinwei Hu, Yao Guo, Xiangqun Chen, Ding Li |
| 2025 | ICASSP | RevPv8: Reverse Information for Road Space and Lane Line Segmentation in Highway Surveillance Scene. | Jingyi Wu, Jun Jing, Zeyong Zhao, Yunfeng Kang, Shiyu Zhang, Delan Kong, Wei Tang, Peng Jiang |
| 2025 | ICCV | SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization. | Zhentao Tan, Ben Xue, Jian Jia, Junhao Wang, Wencai Ye, Shaoyun Shi, Mingjie Sun, Wenjin Wu, Quan Chen, Peng Jiang |
| 2025 | ICCV | Music Grounding by Short Video. | Zijie Xin, Minquan Wang, Jingyu Liu, Quan Chen, Ye Ma, Peng Jiang, Xirong Li |
| 2025 | ICIS | Impact of a Deployed LLM Survey Creation Tool through the IS Success Model. | Peng Jiang, Vinicius Monteiro de Lira, Antonio Maiorino |
| 2025 | ICML | Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. | Siqi Kou, Jiachun Jin, Zhihong Liu, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng |
| 2025 | ICML | Learning Monotonic Probabilities with a Generative Cost Model. | Yongxiang Tang, Yanhua Cheng, Xiaocheng Liu, Jiaochen Chen, Yanxiang Zeng, Ning Luo, Pengjia Yuan, Xialong Liu, Peng Jiang |
| 2025 | ICML | Learning Cascade Ranking as One Network. | Yunli Wang, Zhen Zhang, Zhiqiang Wang, Zixuan Yang, Yu Li, Jian Yang, Shiyang Wen, Peng Jiang, Kun Gai |
| 2025 | IJCAI | Generic Adversarial Attack Framework Against Vertical Federated Learning. | Yimin Liu, Peng Jiang |
| 2025 | INFOCOM | Preference Profiling Attacks Against Vertical Federated Learning Over Graph Data. | Yimin Liu, Peng Jiang, Liehuang Zhu |
| 2025 | IWCMC | Verifiable Predicate-based Access Control Encryption with Dynamic Revocation. | Chi Zhang, Peng Jiang, Zijian Zhang, Liehuang Zhu |
| 2025 | MASS | Exploring Safer Image Sharing: A Vision-Language Approach to Privacy Risk Detection and Protection. | Bang Tran, Haoyu Wang, Xiaoqian Zhang, Peng Jiang |
| 2025 | PIMRC | Joint Design of Beamforming and Antenna Position in Movable Antennas Enhanced ISAC System. | Xiaodong Yan, Peng Jiang, Xiaowen Cao, Yuanhao Cui, Yejun He |
| 2025 | RecSys | Untitled record | Hao Gu, Rui Zhong, Yu Xia, Wei Yang, Chi Lu, Peng Jiang, Kun Gai |
| 2025 | WWW | HCMRM: A High-Consistency Multimodal Relevance Model for Search Ads. | Guobing Gan, Kaiming Gao, Li Wang, Shen Jiang, Peng Jiang |
| 2025 | WWW | Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement. | Hao Jiang, Yongxiang Tang, Yanxiang Zeng, Pengjia Yuan, Yanhua Cheng, Teng Sha, Xialong Liu, Peng Jiang |
| 2025 | WWW | GAS: Generative Auto-bidding with Post-training Search. | Yewen Li, Shuai Mao, Jingtong Gao, Nan Jiang, Yunjian Xu, Qingpeng Cai, Fei Pan, Peng Jiang, Bo An |
| 2025 | WWW | Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions. | Xiaodong Liu, Xiao Lin, Yiming Ding, Changcheng Li, Peng Jiang, Weiran Shen |
| 2025 | WWW | EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding. | Kaiyuan Li, Pengyu Wang, Yunshan Peng, Pengjia Yuan, Yanxiang Zeng, Rui Xiang, Yanhua Cheng, Xialong Liu, Peng Jiang |
| 2025 | WWW | Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems. | Wenzheng Shu, Yanxiang Zeng, Yongxiang Tang, Teng Sha, Ning Luo, Yanhua Cheng, Xialong Liu, Fan Zhou, Peng Jiang |
| 2025 | WWW | AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. | Zhenghai Xue, Qingpeng Cai, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An |
| 2025 | WWW | Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems. | Rui Zhao, Rui Zhong, Haoran Zheng, Wei Yang, Chi Lu, Beihong Jin, Peng Jiang, Kun Gai |
| 2025 | SIGIR | Generative Auto-Bidding with Value-Guided Explorations. | Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao |
| 2025 | SIGIR | Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model. | Yu Xia, Rui Zhong, Hao Gu, Wei Yang, Chi Lu, Peng Jiang, Kun Gai |
| 2025 | SC | What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression. | Franck Cappello, Robert Underwood, Yuri Alexeev, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao |
| 2025 | WSDM | DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems. | Jiaju Chen, Chongming Gao, Shuai Yuan, Shuchang Liu, Qingpeng Cai, Peng Jiang |
| 2025 | WSDM | Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions. | Hongtao Liu, Luxi Chen, Yiming Ding, Changcheng Li, Han Li, Peng Jiang, Weiran Shen |
| 2025 | WSDM | S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain. | Rui Xia, Yanhua Cheng, Yongxiang Tang, Xiaocheng Liu, Xialong Liu, Lisong Wang, Peng Jiang |
| 2025 | RTSS | Predictable and Secure System Auditing for Real-Time Systems. | Peng Jiang, Fanhang Hu, Ruizhe Huang, Shuomin Xue, Zhaomeng Deng, Yuxin Ren, Ning Jia, Yao Guo, Xiangqun Chen, Ding Li, Guang Cheng |
| 2024 | ACISP | CrossAAD: Cross-Chain Abnormal Account Detection. | Yong Lin, Peng Jiang, Fuchun Guo, Liehuang Zhu |
| 2024 | DASFAA | RecGPT. | Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | ECCV | LLaMAPed: Multi-modal Pedestrian Crossing Intention Prediction. | Je-Seok Ham, Sunghun Kim, Jia Huang, Peng Jiang, Jinyoung Moon, Srikanth Saripalli, Changick Kim |
| 2024 | HPDC | CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. | Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello |
| 2024 | ICASSP | Coupling Self-Supervised and Supervised Contrastive Learning for Multiple Classification of Cervical Cytological Whole Slide Images. | Lang Wang, Peng Jiang, Wensi Duan, Dehua Cao, Baochuan Pang, Juan Liu |
| 2024 | INFOCOM | A Generic Blockchain-based Steganography Framework with High Capacity via Reversible GAN. | Zhuo Chen, Liehuang Zhu, Peng Jiang, Jialing He, Zijian Zhang |
| 2024 | KDD | Modeling User Retention through Generative Flow Networks. | Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang |
| 2024 | KDD | Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. | Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li |
| 2024 | KDD | Future Impact Decomposition in Request-level Recommendations. | Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Kun Gai, Guangming Xie |
| 2024 | KDD | Natural Language Explainable Recommendation with Robustness Enhancement. | Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li |
| 2024 | RecSys | Prompt Tuning for Item Cold-start Recommendation. | Yuezihan Jiang, Gaode Chen, Wenhan Zhang, Jingchi Wang, Yinjie Jiang, Qi Zhang, Jingjian Lin, Peng Jiang, Kaigui Bian |
| 2024 | RecSys | MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. | Yuezihan Jiang, Changyu Li, Gaode Chen, Peiyi Li, Qi Zhang, Jingjian Lin, Peng Jiang, Fei Sun, Wentao Zhang |
| 2024 | VTC | RIS-Assisted Integrated Sensing and Communication System With Physical Layer Security Enhancement by DRL Approach. | Peng Jiang, Xiaowen Cao, Yejun He, Xianxin Song, Zhonghao Lyu |
| 2024 | VTC | Model-Driven Deep Learning for Joint Waveform and Beamforming Design in RIS-ISAC Systems. | Peng Jiang, Rang Liu, Ming Li, Wei Wang, Qian Liu |
| 2024 | WWW | Discrete Conditional Diffusion for Reranking in Recommendation. | Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang |
| 2024 | WWW | Intersectional Two-sided Fairness in Recommendation. | Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shaoping Ma |
| 2024 | WWW | Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples. | Xiaoxiao Xu, Hao Wu, Wenhui Yu, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | SIGIR | Modeling User Fatigue for Sequential Recommendation. | Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao |
| 2024 | SIGIR | Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. | Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | SIGIR | M | Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai |
| 2023 | CCGRID | 3D CNN Acceleration using Block Circulant Matrix in Frequency Domain. | Rui Han, Huarong Xu, Peng Jiang, Xiongwei Jiang, Jiaming Qian |
| 2023 | CCS | Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools. | Feng Dong, Shaofei Li, Peng Jiang, Ding Li, Haoyu Wang, Liangyi Huang, Xusheng Xiao, Jiedong Chen, Xiapu Luo, Yao Guo, Xiangqun Chen |
| 2023 | CCS | Put Your Memory in Order: Efficient Domain-based Memory Isolation for WASM Applications. | Hanwen Lei, Ziqi Zhang, Shaokun Zhang, Peng Jiang, Zhineng Zhong, Ningyu He, Ding Li, Yao Guo, Xiangqun Chen |
| 2023 | CIBCB | A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. | Jillur Rahman Saurav, Mohammad Sadegh Nasr, Helen H. Shang, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Brd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber |
| 2023 | CIKM | Application and Evaluation of Large Language Models for the Generation of Survey Questions. | Antonio Maiorino, Zoe Padgett, Chun Wang, Misha Yakubovskiy, Peng Jiang |
| 2023 | ICASSP | Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling. | Yuqi Chen, Juan Liu, Zhiqun Zuo, Peng Jiang, Yu Jin, Guangsheng Wu |
| 2023 | ICASSP | DDN: Dynamic Aggregation Enhanced Dual-Stream Network for Medical Image Classification. | Lang Wang, Juan Liu, Peng Jiang, Dehua Cao, Baochuan Pang |
| 2023 | ICASSP | LGVIT: Local-Global Vision Transformer for Breast Cancer Histopathological Image Classification. | Lang Wang, Juan Liu, Peng Jiang, Dehua Cao, Baochuan Pang |
| 2023 | ICCCN | Beam Profiling and Beamforming Modeling for mmWave NextG Networks. | Efat Samir Fathalla, Sahar Zargarzadeh, Chunsheng Xin, Hongyi Wu, Peng Jiang, Joao F. Santos, Jacek Kibilda, Aloizio Pereira da Silva |
| 2023 | ICLR | ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. | Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An |
| 2023 | IJCNN | A Multi-Agent Framework for Recommendation with Heterogeneous Sources. | Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai |
| 2023 | KDD | Generative Flow Network for Listwise Recommendation. | Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | KDD | Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. | Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang |
| 2023 | KDD | PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. | Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An |
| 2023 | PERCOM | SEEK: Detecting GPS Spoofing via a Sequential Dashcam-Based Vehicle Localization Framework. | Peng Jiang, Hongyi Wu, Yanxiao Zhao, Dan Zhao, Chunsheng Xin |
| 2023 | PPoPP | End-to-End LU Factorization of Large Matrices on GPUs. | Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath |
| 2023 | WWW | Reinforcing User Retention in a Billion Scale Short Video Recommender System. | Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | WWW | Two-Stage Constrained Actor-Critic for Short Video Recommendation. | Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | WWW | Exploration and Regularization of the Latent Action Space in Recommendation. | Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang |
| 2023 | WWW | Multi-Task Recommendations with Reinforcement Learning. | Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | WWW | Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. | Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai |
| 2023 | WWW | Disentangled Causal Embedding With Contrastive Learning For Recommender System. | Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai |
| 2023 | SIGIR | Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. | Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He |
| 2023 | SIGIR | Measuring Item Global Residual Value for Fair Recommendation. | Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang |
| 2022 | AAAI | GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection. | Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li |
| 2022 | CIKM | KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. | Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua |
| 2022 | CIKM | KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. | Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He |
| 2022 | CIKM | Real-time Short Video Recommendation on Mobile Devices. | Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai |
| 2022 | ICONIP | Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells. | Peng Jiang, Juan Liu, Hua Chen, Cheng Li, Baochuan Pang, Dehua Cao |
| 2022 | ICS | Rethinking graph data placement for graph neural network training on multiple GPUs. | Shihui Song, Peng Jiang |
| 2022 | KDD | Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. | Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen |
| 2022 | KDD | Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution. | Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma |
| 2022 | KDD | Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. | Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang, Kun Gai |
| 2022 | PPoPP | Rethinking graph data placement for graph neural network training on multiple GPUs. | Shihui Song, Peng Jiang |
| 2022 | SMC | The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems. | Haofeng Yuan, Peng Jiang, Shiji Song |
| 2022 | WWW | LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. | Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang |
| 2022 | SC | STMatch: Accelerating Graph Pattern Matching on GPU with Stack-Based Loop Optimizations. | Yihua Wei, Peng Jiang |
| 2022 | WSDM | C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. | Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu |
| 2021 | CSCWD | Examining Data and Process of Procuratorial Cases: A Graph-Based Provenance Solution Across Instances. | Hanyu Wu, Tun Lu, Xianpeng Wang, Baoping Yang, Chunlin Xu, Peng Jiang |
| 2021 | DASFAA | Graph Attention Collaborative Similarity Embedding for Recommender System. | Jinbo Song, Chao Chang, Fei Sun, Zhenyang Chen, Guoyong Hu, Peng Jiang |
| 2021 | ICCV | Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace. | Zhiyi Pan, Peng Jiang, Yunhai Wang, Changhe Tu, Anthony G. Cohn |
| 2021 | ICONIP | Graph Convolutional Network Based on Higher-Order Neighborhood Aggregation. | Gang-Feng Ma, Xu-Hua Yang, Lei Ye, Yu-Jiao Huang, Peng Jiang |
| 2021 | ICRA | RELLIS-3D Dataset: Data, Benchmarks and Analysis. | Peng Jiang, Philip R. Osteen, Maggie B. Wigness, Srikanth Saripalli |
| 2021 | ICRA | LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation. | Peng Jiang, Srikanth Saripalli |
| 2021 | ISPA | Heuristic-based Blockchain Assignment: An Empirical Study. | Jianyu Chen, Keke Gai, Peng Jiang, Liehuang Zhu |
| 2021 | ISPA | SM9-based Anonymous Search over Encrypted Data. | Ke Ren, Peng Jiang, Liehuang Zhu, Keke Gai |
| 2020 | ACCV | Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds. | Guangnan Wu, Zhiyi Pan, Peng Jiang, Changhe Tu |
| 2020 | HCI | Identification of Key Factors Affecting Logistics Service Quality of Cross-border E-commerce. | Peng Jiang, Hang Jiang, Yi-Chung Hu, Chongen Liang, Shiyuan Wang |
| 2020 | ICA3PP | Reputation-Based Trustworthy Supply Chain Management Using Smart Contract. | Haochen Li, Keke Gai, Liehuang Zhu, Peng Jiang, Meikang Qiu |
| 2020 | ICONIP | WC2FEst-Net: Wavelet-Based Coarse-to-Fine Head Pose Estimation from a Single Image. | Zhen Li, Wei Li, Zifei Jiang, Peng Jiang, Xueqing Li, Yan Huang, Jingliang Peng |
| 2020 | PPoPP | A novel data transformation and execution strategy for accelerating sparse matrix multiplication on GPUs. | Peng Jiang, Changwan Hong, Gagan Agrawal |
| 2020 | PPoPP | Scaling out speculative execution of finite-state machines with parallel merge. | Yang Xia, Peng Jiang, Gagan Agrawal |
| 2020 | SIGIR | A Case Study of Multi-class Classification with Diversified Precision Recall Requirements for Query Disambiguation. | Yingrui Yang, Christopher Miller, Peng Jiang, Azadeh Moghtaderi |
| 2019 | CC | Enabling prefix sum parallelism pattern for recurrences with principled function reconstruction. | Yang Xia, Peng Jiang, Gagan Agrawal |
| 2019 | CIKM | BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. | Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang |
| 2019 | HCI | An Improved Grey Multivariable Verhulst Model for Predicting CO2 Emissions in China. | Yi-Chung Hu, Hang Jiang, Peng Jiang, Peiyi Kong |
| 2019 | HPCC | Budget Constraint Roadside Units Placement for Traffic Flows Monitoring System with Reliability in Vehicular Networks. | Peng Jiang, Peng Li, Tao Zhang, Weiyi Huang, Heng He, Lei Nie, Qin Liu |
| 2019 | KDD | Ranking in Genealogy: Search Results Fusion at Ancestry. | Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi |
| 2019 | PPoPP | Accelerating distributed stochastic gradient descent with adaptive periodic parameter averaging: poster. | Peng Jiang, Gagan Agrawal |
| 2019 | RecSys | A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. | Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang |
| 2019 | RecSys | Compositional network embedding for link prediction. | Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang |
| 2019 | RecSys | Personalized re-ranking for recommendation. | Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei |
| 2019 | WWW | Value-aware Recommendation based on Reinforcement Profit Maximization. | Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang |
| 2019 | SIGIR | Family History Discovery through Search at Ancestry. | Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi |
| 2018 | CGO | Conflict-free vectorization of associative irregular applications with recent SIMD architectural advances. | Peng Jiang, Gagan Agrawal |
| 2018 | CIKM | Multi-Source Pointer Network for Product Title Summarization. | Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang |
| 2018 | CIKM | Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. | Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang, Xiaobo Wang, Zhifang Sui |
| 2018 | ICA3PP | vPlacer: A Co-scheduler for Optimizing the Performance of Parallel Jobs in Xen. | Peng Jiang, Ligang He, Shenyuan Ren, Zhiyan Chen, Rui Mao |
| 2018 | NPC | vGrouper: Optimizing the Performance of Parallel Jobs in Xen by Increasing Synchronous Execution of Virtual Machines. | Peng Jiang, Ligang He, Shenyuan Ren, Junyu Li, Yuhua Cui |
| 2018 | PPoPP | Revealing parallel scans and reductions in sequential loops through function reconstruction. | Peng Jiang, Gagan Agrawal |
| 2017 | ICS | Efficient SIMD and MIMD parallelization of hash-based aggregation by conflict mitigation. | Peng Jiang, Gagan Agrawal |
| 2017 | PPoPP | Combining SIMD and Many/Multi-core Parallelism for Finite State Machines with Enumerative Speculation. | Peng Jiang, Gagan Agrawal |
| 2016 | ACISP | Public Key Encryption with Authorized Keyword Search. | Peng Jiang, Yi Mu, Fuchun Guo, Qiaoyan Wen |
| 2016 | CGO | Exploiting recent SIMD architectural advances for irregular applications. | Linchuan Chen, Peng Jiang, Gagan Agrawal |
| 2016 | ICS | Reusing Data Reorganization for Efficient SIMD Parallelization of Adaptive Irregular Applications. | Peng Jiang, Linchuan Chen, Gagan Agrawal |
| 2016 | ProvSec | Oblivious Keyword Search with Authorization. | Peng Jiang, Xiaofen Wang, Jianchang Lai, Fuchun Guo, Rongmao Chen |
| 2015 | ICCV | Generic Promotion of Diffusion-Based Salient Object Detection. | Peng Jiang, Nuno Vasconcelos, Jingliang Peng |
| 2015 | KDD | Life-stage Prediction for Product Recommendation in E-commerce. | Peng Jiang, Yadong Zhu, Yi Zhang, Quan Yuan |
| 2013 | ECIR | Classification of Opinion Questions. | Hongping Fu, Zhendong Niu, Chunxia Zhang, Lu Wang, Peng Jiang, Ji Zhang |
| 2013 | ICCV | Salient Region Detection by UFO: Uniqueness, Focusness and Objectness. | Peng Jiang, Haibin Ling, Jingyi Yu, Jingliang Peng |
| 2013 | ICDM | Pattern Discovery in High Dimensional Binary Data. | Peng Jiang, Michael T. Heath |
| 2013 | ICDM | Mining Discrete Patterns via Binary Matrix Factorization. | Peng Jiang, Michael T. Heath |
| 2013 | ICNC | An underwater sensor network localization algorithm based on Time-of-Arrivals (TOAs). | Peng Jiang |
| 2013 | ISCC | Development and evaluation of LISP-based instant VPN services. | Chikara Sasaki, Peng Jiang, Atsushi Tagami, Teruyuki Hasegawa, Shigehiro Ano |
| 2013 | NLDB | Extracting Fine-Grained Entities Based on Coordinate Graph. | Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu |
| 2013 | UIC | Enhancing the Security of Mobile Applications by Using TEE and (U)SIM. | Zaheer Ahmad, Lishoy Francis, Tansir Ahmed, Christopher Lobodzinski, Dev Audsin, Peng Jiang |
| 2013 | WSDM | Wiki3C: exploiting wikipedia for context-aware concept categorization. | Peng Jiang, Huiman Hou, Lijiang Chen, Shimin Chen, Conglei Yao, Chengkai Li, Min Wang |
| 2012 | WCNC | A resilience wireless enhancement for neighborhood watching system. | Peng Jiang, John Bigham, Eliane L. Bodanese |
| 2012 | WCNC | Dynamic frequency allocation and network reconfiguration on Relay Based Cellular Network. | Haibo Mei, Peng Jiang, John Bigham |
| 2012 | WiMob | Real time radio coverage monitoring in self-organizing networks with user feedback. | Kejiong Li, Peng Jiang, Eliane L. Bodanese, John Bigham |
| 2012 | TASE | Regression Test Cases Generation Based on Automatic Model Revision. | Nan Ye, Xin Chen, Wenxu Ding, Peng Jiang, Lei Bu, Xuandong Li |
| 2011 | KSEM | A Probability Model for Related Entity Retrieval Using Relation Pattern. | Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu, Hongping Fu |
| 2011 | WCNC | Adaptive service provisioning for emergency communications with DTN. | Peng Jiang, John Bigham, Eliane L. Bodanese |
| 2011 | WCNC | Augmenting coverage in a cellular network with DTN routing. | Haibo Mei, Peng Jiang, John Bigham |
| 2010 | ICDM | An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews. | Peng Jiang, Chunxia Zhang, Hongping Fu, Zhendong Niu, Qing Yang |
| 2010 | IWCMC | Enhanced cooperation in heterogeneous wireless networks using coverage adjustment. | Haris Pervaiz, Haibo Mei, John Bigham, Peng Jiang |
| 2010 | PAKDD | Blog Opinion Retrieval Based on Topic-Opinion Mixture Model. | Peng Jiang, Chunxia Zhang, Qing Yang, Zhendong Niu |
| 2008 | MSWIM | A dynamic call admission control scheme for optimization with QoS provisioning in multiclass cellular networks. | Peng Jiang, Yasar Ahmet Sekercioglu |
| 2006 | ICCS | Performance Analysis of Block Jacobi Preconditioning Technique Based on Block Broyden Method. | Peng Jiang, Geng Yang, Chunming Rong |
| 2006 | ICCS | Combined Method for Nonlinear Systems of Equations. | Peng Jiang, Geng Yang, Chunming Rong |