| 2026 | AAAI | MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm. | Xiao Fan, Jingyan Jiang, Zhaoru Chen, Fanding Huang, Xiao Chen, Qinting Jiang, Bowen Zhang, Xing Tang, Zhi Wang |
| 2026 | ACL | HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment. | Guorui Li, Dugang Liu, Lei Li, Xing Tang, Zhong Ming |
| 2026 | ACL | Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement. | Zexu Sun, Yongcheng Zeng, Erxue Min, Heyang Gao, Bokai Ji, Dugang Liu, Xing Tang, Xiuqiang He, Xu Chen |
| 2026 | WWW | Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA. | Xing Tang, Hao Chen, Shiwei Li, Fuyuan Lyu, Weijie Shi, Lingjie Li, Dugang Liu, Weihong Luo, Xiku Du, Xiuqiang He |
| 2026 | SIGIR | Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation. | Fuyuan Lyu, Zhentai Chen, Jingyan Jiang, Lingjie Li, Xing Tang, Xiuqiang He, Xue Liu |
| 2026 | SIGIR | FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction. | Jun Zhang, Dugang Liu, Xing Tang, Xiuqiang He, Zhong Ming |
| 2026 | WSDM | Automated Information Flow Selection for Multi-scenario Multi-task Recommendation. | Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming |
| 2025 | DASFAA | A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation. | Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, Xiuqiang He |
| 2025 | GLOBECOM | Robust Parallel Benders Decomposition for Spectrum-Aware Task Offloading in Cognitive IoV Networks. | Lei Hu, Xing Tang, Mingzheng Wang, Bing Shi, Fuyang Li, Jing Wang, Yanan Chang |
| 2025 | ICASSP | MusicMamba: A Dual-Feature Modeling Approach for Generating Chinese Traditional Music with Modal Precision. | Jiatao Chen, Xing Tang, Tianming Xie, Jing Wang, Wenjing Dong, Bing Shi |
| 2025 | ICLR | Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. | Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, Ji-Rong Wen |
| 2025 | ICML | Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics. | Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li |
| 2025 | ICML | The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning. | Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li |
| 2025 | ICML | Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency. | Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang, Xiuqiang He |
| 2025 | KDD | Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction. | Xing Tang, Chaohua Yang, Yuwen Fu, Dongyang Ao, Shiwei Li, Fuyuan Lyu, Dugang Liu, Xiuqiang He |
| 2025 | KDD | Scenario Shared Instance Modeling for Click-through Rate Prediction. | Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming |
| 2025 | KDD | Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting. | Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang |
| 2025 | SIGIR | Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. | Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma |
| 2025 | SIGIR | Multi-scenario Instance Embedding Learning for Deep Recommender Systems. | Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming |
| 2025 | WSDM | Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. | Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu |
| 2024 | CIKM | OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. | Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He |
| 2024 | DASFAA | Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing. | Zexu Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He |
| 2024 | HPCC | MFRD: A Novel Multi-Criteria Fusion Routing Decision Making Algorithm in Mobile Opportunistic Networks. | Yanan Chang, Demin Peng, Xingzhuo Duan, Jianqun Cui, Xing Tang |
| 2024 | ICML | FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. | Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li |
| 2024 | KDD | Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. | Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma |
| 2024 | Mobiquitous | Exploiting NLOS Links for Energy-Efficient Opportunistic Routing in IoV. | Yiming Zhou, Xing Tang, Pengyu Shi, Jing Wang, Chunlin Li, Lincheng Jiang, Zhen Tan, Fengcai Qiao |
| 2024 | PIMRC | QoS-Aware Route Navigation for Pedestrians Using 5G Cellular Networks. | Qiyu Jiang, Xing Tang, Jing Wang |
| 2024 | RecSys | Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. | Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He |
| 2024 | RecSys | End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. | Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He |
| 2024 | WWW | RecDCL: Dual Contrastive Learning for Recommendation. | Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang |
| 2024 | SIGIR | AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. | Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming |
| 2024 | WSDM | MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. | Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao |
| 2024 | SDM | Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. | Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma |
| 2023 | AAAI | SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition. | Rong Hu, Ling Chen, Shenghuan Miao, Xing Tang |
| 2023 | AAAI | Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. | Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li |
| 2023 | DASFAA | Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. | Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming |
| 2023 | KDD | Explicit Feature Interaction-aware Uplift Network for Online Marketing. | Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He |
| 2023 | RecSys | AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. | Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li |
| 2023 | WWW | DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. | Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He |
| 2023 | WWW | Optimizing Feature Set for Click-Through Rate Prediction. | Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu |
| 2023 | SIGIR | Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. | Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He |
| 2022 | CIKM | OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. | Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu |
| 2022 | CVPR | Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation. | Jian Zhang, Yuanqing Zhang, Huan Fu, Xiaowei Zhou, Bowen Cai, Jinchi Huang, Rongfei Jia, Binqiang Zhao, Xing Tang |
| 2022 | ECCV | DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization. | Ben Xue, Shenghui Ran, Quan Chen, Rongfei Jia, Binqiang Zhao, Xing Tang |
| 2022 | ECCV | Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation. | Jian Zhang, Jinchi Huang, Bowen Cai, Huan Fu, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang |
| 2022 | ICDE | Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. | Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu |
| 2022 | ICSE | Automated Visual Testing for Mobile Apps in an Industrial Setting. | Dezhi Ran, Zongyang Li, Chenxu Liu, Wenyu Wang, Weizhi Meng, Xionglin Wu, Hui Jin, Jing Cui, Xing Tang, Tao Xie |
| 2021 | CIKM | From Community Search to Community Understanding: A Multimodal Community Query Engine. | Zhao Li, Pengcheng Zou, Xia Chen, Shichang Hu, Peng Zhang, Yumou Zhang, Bingsheng He, Yuchen Li, Xing Tang |
| 2021 | ICSOC | Deep Reinforcement Learning Based Task Offloading Strategy Under Dynamic Pricing in Edge Computing. | Bing Shi, Feiyang Chen, Xing Tang |
| 2021 | WWW | What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. | Zhao Li, Pengrui Hui, Peng Zhang, Jiaming Huang, Biao Wang, Ling Tian, Ji Zhang, Jianliang Gao, Xing Tang |
| 2020 | MDM | AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. | Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin |
| 2020 | VTC | Wireless Resource Pre-allocation for Cellular V2I Low-Latency Communications. | Mingyu Zhang, Jianxin Zhang, Xing Tang, Yuliang Tang |
| 2019 | GLOBECOM | Reinforcement Learning Based Prioritized Cross-Area Resource Management for Vehicular Cloud Networks. | Zhuyue Yu, Yuliang Tang, Xing Tang |
| 2016 | ICPADS | Delay Tolerant Routing for Cognitive Radio Vehicular Ad Hoc Networks. | Jing Wang, Huyin Zhang, Xing Tang |
| 2014 | CIS | Detecting Circles on Ego Network Based on Structure. | Qiguang Miao, Xing Tang, Yi-Ning Quan, Kai Deng |
| 2014 | ICPADS | Extending access point service coverage area through opportunistic forwarding in multi-hop collaborative relay WLANs. | Xing Tang, Haijian Zhang, Kunxiao Zhou, Jing Wang |
| 2014 | UIC | A Novel Email Virus Propagation Model with Local Group. | Qiguang Miao, Xing Tang, Yi-Ning Quan |
| 2012 | GLOBECOM | Joint power control and scheduling for minimizing broadcast delay in Wireless Mesh Networks. | Yanan Chang, Qin Liu, Xiaohua Jia, Xing Tang, Kunxiao Zhou |
| 2012 | GLOBECOM | Network coding based geographical opportunistic routing for ad hoc cognitive radio networks. | Xing Tang, Qin Liu |
| 2010 | VR | A real-time multi-cue hand tracking algorithm based on computer vision. | Zhigeng Pan, Yang Li, Mingmin Zhang, Chao Sun, Kangde Guo, Xing Tang, Steven Zhiying Zhou |
| 2003 | PG | G2 Blending of Corners with Piecewise Algebraic Surfaces. | Falai Chen, Xing Tang |