| 2027 | EDBT | U-HNSW: An Efficient Graph-based Solution to ANNS Under Universal Lp Metrics. | Huayi Wang, Jingfan Meng, Jun Xu |
| 2026 | AAAI | Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction. | Jun Xu, Xinkai Du, Yu Ao, Peilong Zhao, Yang Li, Ling Zhong, Lin Yuan, Zhongpu Bo, Xiaorui Wang, Mengshu Sun, Zhengke Gui, Dalong Zhang, ZhaoYang Wang, Qiwei Wang, Yangyang Hou, ZhiYing Yi, Haofen Wang, Huajun Chen, Lei Liang, Jun Zhou |
| 2026 | ACL | Efficient Paths and Dense Rewards: Probabilistic Flow Reasoning for Large Language Models. | Yan Liu, Feng Zhang, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Han Liu, Yangdong Deng |
| 2026 | ACL | Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management. | Weitao Ma, Xiaocheng Feng, Lei Huang, Xiachong Feng, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Bing Qin |
| 2026 | ACL | MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching. | Changle Qu, Sunhao Dai, Hengyi Cai, Jun Xu, Shuaiqiang Wang, Dawei Yin |
| 2026 | ACL | When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs. | Zhongxiang Sun, Yi Zhan, Chenglei Shen, Weijie Yu, Xiao Zhang, Ming He, Jun Xu |
| 2026 | ACL | A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions. | Zhiyin Yu, Yuchen Mou, Juncheng Yan, Junyu Luo, Chunchun Chen, Xing Wei, Yunhui Liu, Hongru Sun, Yuxing Zhang, Jun Xu, Yatao Bian, Ming Zhang, Wei Ye, Tieke He, Jie Yang, Guanjie Zheng, Zhonghai Wu, Bo Zhang, Lei Bai, Xiao Luo |
| 2026 | ACL | Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Jun Xu, Mengshu Sun, Zhizhen Liu, Lei Liang, Wen Zhang, Huajun Chen |
| 2026 | ACL | GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR. | Jiaying Zhang, Lei Shi, Jiguo Li, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He |
| 2026 | ECIR | Economic Perspectives on Fairness in Information Retrieval. | Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke |
| 2026 | ISCAS | Volumetric Video on Demand System Based on Scalable Spacetime Gaussian Splatting. | Yuhang Li, Junyi Lu, Jun Xu, Bingcong Lu, Rong Xie, Li Song |
| 2026 | ISCAS | Diff-Band:Bandwidth Estimation in RTC via Diffusion-Based Offline Reinforcement Learning. | Bingcong Lu, Jun Xu, Zhengxue Cheng, Li Song, Bingnan Duan, Jintao Fang |
| 2026 | IWCMC | Low-Overhead CSI Reporting for Network Energy Saving. | Xiaoying Ma, Mengzhu Chen, Jun Xu, Hong Tang |
| 2026 | WWW | Room Matters: Dynamic Room-level Collaboration Information Modeling for Live Streaming Recommendation. | Ke Guo, Changle Qu, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu, Jun Xu |
| 2026 | WWW | Towards a Responsible Web: Economic Perspectives on Fairness in Information Retrieval. | Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke |
| 2026 | WWW | Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory. | Chen Xu, Zhipeng Yi, Ruizi Wang, Wenjie Wang, Jun Xu, Maarten de Rijke |
| 2026 | SIGIR | KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation. | Changle Qu, Sunhao Dai, Ke Guo, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu, Lantao Hu, Han Li, Jun Xu |
| 2026 | SIGIR | GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items. | Chenglei Shen, Teng Shi, Weijie Yu, Xiao Zhang, Jun Xu |
| 2026 | SIGIR | Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Recommendation. | Teng Shi, Weicong Qin, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2026 | SIGIR | Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience. | Zhongxiang Sun, Qipeng Wang, Weijie Yu, Jingxuan Yang, Haolang Lu, Jun Xu |
| 2026 | SIGIR | Large-Scale Online Learning for Generative List Recommendation in E-commerce: An Environment Policy Optimization Approach. | Yuan Wang, Zhiyu Li, Ang Gao, Changshuo Zhang, Xiao Zhang, Jun Xu, Quan Lin |
| 2026 | SIGIR | The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium. | Chen Xu, Wei Chu, Wenyu Hu, Fengran Mo, Jun Xu, Maarten de Rijke |
| 2026 | SIGIR | QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors. | Kepu Zhang, Zhongxiang Sun, Weijie Yu, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li, Jun Xu |
| 2026 | SIGIR | Disentangling from Collaborative and Semantic Views: Graph Collaborative Filtering for Q&A Recommendation. | Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu |
| 2026 | SIGIR | DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents. | Jiahao Zhao, Shaoxuan Xu, Zhongxiang Sun, Fengqi Zhu, Jingyang Ou, Yuling Shi, Chongxuan Li, Xiao Zhang, Jun Xu |
| 2026 | SIGIR | Learning to Retrieve from Agent Trajectories. | Yuqi Zhou, Sunhao Dai, Changle Qu, Liang Pang, Jun Xu, Ji-Rong Wen |
| 2026 | WSDM | Counteracting the Delayed Conversions in OCPC with Survival Analysis. | Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong, Jun Xu |
| 2025 | AAAI | ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis. | Xinyu Geng, Jiaming Wang, Xiaolin Huang, Fanglin Chen, Jun Xu |
| 2025 | AAAI | Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis. | Lin Yuan, Jun Xu, Honghao Gui, Mengshu Sun, Zhiqiang Zhang, Lei Liang, Jun Zhou |
| 2025 | AAAI | AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization. | Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong |
| 2025 | AAAI | Trigger3: Refining Query Correction via Adaptive Model Selector. | Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu |
| 2025 | ACL | Towards Effective and Efficient Continual Pre-training of Large Language Models. | Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen |
| 2025 | ACL | MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment. | Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu |
| 2025 | ACL | CitaLaw: Enhancing LLM with Citations in Legal Domain. | Kepu Zhang, Weijie Yu, Sunhao Dai, Jun Xu |
| 2025 | ACL | Length-Induced Embedding Collapse in PLM-based Models. | Yuqi Zhou, Sunhao Dai, Zhanshuo Cao, Xiao Zhang, Jun Xu |
| 2025 | CIKM | BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process. | Yuxin Li, Chen Xu, Jun Xu, Ji-Rong Wen |
| 2025 | CIKM | Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation. | Teng Shi, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2025 | CIKM | SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models. | Kepu Zhang, Weijie Yu, Zhongxiang Sun, Jun Xu |
| 2025 | CIKM | PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization. | Kepu Zhang, Teng Shi, Weijie Yu, Jun Xu |
| 2025 | CRYPTO | New Results on the φ-Hiding Assumption and Factoring Related RSA Moduli. | Jun Xu, Jun Song, Lei Hu |
| 2025 | ECAI | A Self-Adaptive Frequency Domain Network for Continuous Intraoperative Hypotension Prediction. | Xian Zeng, Tianze Xu, Kai Yang, Jie Sun, Youran Wang, Jun Xu, Mucheng Ren |
| 2025 | EMNLP | Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations. | Sunhao Dai, Zhanshuo Cao, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Tat-Seng Chua |
| 2025 | EMNLP | Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search. | Weicong Qin, Yi Xu, Weijie Yu, Teng Shi, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu |
| 2025 | EMNLP | Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation. | Changle Qu, Sunhao Dai, Hengyi Cai, Yiyang Cheng, Jun Xu, Shuaiqiang Wang, Dawei Yin |
| 2025 | EMNLP | Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision. | Xiaopeng Ye, Chen Xu, Chaoliang Zhang, Zhaocheng Du, Jun Xu, Gang Wang, Zhenhua Dong |
| 2025 | EMNLP | Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning. | Kepu Zhang, Guofu Xie, Weijie Yu, Mingyue Xu, Xu Tang, Yaxin Li, Jun Xu |
| 2025 | EMNLP | Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning. | Kepu Zhang, Haoyue Yang, Xu Tang, Weijie Yu, Jun Xu |
| 2025 | ICCCN | Towards High-Performance and Compatible RDMA Networks with Receiver-Based and Fine-Grained Congestion Control. | Jun Xu, Jianchun Liu, Hongli Xu, Yangming Zhao, Zhuolong Yu |
| 2025 | ICICS | FluxSketch: A Sketch-Based Solution for Long-Term Fluctuating Key Flow Detection. | Jun Xu, Guoju Gao, Yu-E Sun, He Huang, Yang Du |
| 2025 | ICLR | Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. | Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua |
| 2025 | ICLR | From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. | Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen |
| 2025 | ICLR | ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability. | Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li |
| 2025 | ICLR | Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. | Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | ICNP | OddEEC: A New Sketch Technique for Error Estimating Coding. | Huayi Wang, Jingfan Meng, Jun Xu |
| 2025 | ICPADS | Personalized Federated Learning with Partial Model Sharing and Client-Customized Aggregation. | Yitang Huang, Jun Xu, Dejun Yang |
| 2025 | IJCNN | OPSeg: Adapting Segment Anything Model 2 with Prompts for Efficient Instance Shadow Detection. | Yanfei Li, Jun Xu, Yuan Zeng, Yi Gong |
| 2025 | ISCAS | Rate-Aware Learned Speech Compression. | Jun Xu, Zhengxue Cheng, Guangchuan Chi, Yuhan Liu, Yuelin Hu, Li Song |
| 2025 | MICCAI | MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction. | Mingxin Liu, Chengfei Cai, Jun Li, Pengbo Xu, Jinze Li, Jiquan Ma, Jun Xu |
| 2025 | PIMRC | Achieving Block-Code-Based Probabilistic Amplitude Shaping at Low Spectral Efficiency: A New Interface for 6G. | Chulong Liang, Jiajun Xu, Liguang Li, Wei Zhao, Jun Xu, Mengzhu Chen, Ruiqi Liu |
| 2025 | RecSys | MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation. | Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2025 | RecSys | GenSAR: Unifying Balanced Search and Recommendation with Generative Retrieval. | Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Enyun Yu |
| 2025 | RecSys | Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation. | Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen |
| 2025 | WWW | LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator. | Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu |
| 2025 | WWW | MAQInstruct: Instruction-based Unified Event Relation Extraction. | Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou |
| 2025 | SIGIR | Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. | Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | SIGIR | FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval. | Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke |
| 2025 | SIGIR | Fairness in Information Retrieval from an Economic Perspective. | Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke |
| 2025 | SIGIR | Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. | Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke |
| 2025 | SIGIR | Mitigating Source Bias with LLM Alignment. | Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu |
| 2025 | SIGIR | NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. | Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua |
| 2025 | SIGIR | Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming Recommendation. | Changle Qu, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu |
| 2025 | SIGIR | Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation. | Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li |
| 2025 | SIGIR | ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding. | Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song, Han Li |
| 2025 | SIGIR | LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry. | Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen |
| 2025 | VCIP | Lightweight High-Fidelity Low-Bitrate Talking Face Compression for 3D Video Conference. | Jianglong Li, Jun Xu, Bingcong Lu, Zhengxue Cheng, Hongwei Hu, Ronghua Wu, Li Song |
| 2025 | SP | Alleviating the Fear of Losing Alignment in LLM Fine-tuning. | Kang Yang, Guanhong Tao, Xun Chen, Jun Xu |
| 2025 | SP | Inspecting Virtual Machine Diversification Inside Virtualization Obfuscation. | Naiqian Zhang, Dongpeng Xu, Jiang Ming, Jun Xu, Qiaoyan Yu |
| 2025 | WSDM | Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. | Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu |
| 2024 | ACL | Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. | Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2024 | ACL | Efficient Knowledge Infusion via KG-LLM Alignment. | Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui Sun, Hui Cai, Shuhan Luo, Zhiqiang Zhang |
| 2024 | ACL | Effective In-Context Example Selection through Data Compression. | Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu |
| 2024 | ACSAC | Sidecar: Leveraging Debugging Extensions in Commodity Processors to Secure Software. | Konstantinos Kleftogiorgos, Patrick Zielinski, Shan Huang, Jun Xu, Georgios Portokalidis |
| 2024 | CIKM | Towards Completeness-Oriented Tool Retrieval for Large Language Models. | Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen |
| 2024 | CIKM | Large Language Models Enhanced Collaborative Filtering. | Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu |
| 2024 | CIKM | Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach. | Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong |
| 2024 | CIKM | SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback. | Kepu Zhang, Teng Shi, Sunhao Dai, Xiao Zhang, Yinfeng Li, Jing Lu, Xiaoxue Zang, Yang Song, Jun Xu |
| 2024 | CIKM | Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution. | Da Zhong, Xiuling Wang, Zhichao Xu, Jun Xu, Wendy Hui Wang |
| 2024 | COLING | Logic Rules as Explanations for Legal Case Retrieval. | Zhongxiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang, Jun Xu |
| 2024 | COLING | ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models. | Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou |
| 2024 | CVPR | OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning. | Xinyu Geng, Jiaming Wang, Jiawei Gong, Yuerong Xue, Jun Xu, Fanglin Chen, Xiaolin Huang |
| 2024 | ECAI | Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution. | Tianyi Xu, Yijie Zhou, Xiaotao Hu, Kai Zhang, Anran Zhang, Xingye Qiu, Jun Xu |
| 2024 | ECCV | AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. | Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin, Radu Timofte, Ziheng Jia, Zicheng Zhang, Wei Sun, Jiaying Qian, Yuqin Cao, Yinan Sun, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Kanjar De, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Wenhui Meng, Xiaoheng Tan, Haiqiang Wang, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Zhengxue Cheng, Jiahao Xiao, Jun Xu, Chenlong He, Qi Zheng, Ruoxi Zhu, Min Li, Yibo Fan, Zhengzhong Tu |
| 2024 | EMNLP | A Study of Implicit Ranking Unfairness in Large Language Models. | Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua |
| 2024 | ESORICS | Key Recovery Attack on CRYSTALS-Kyber and Saber KEMs in Key Reuse Scenario. | Zhiwei Li, Jun Xu, Yanli Zou, Lei Hu |
| 2024 | ICASSP | Video Anomaly Prediction: Problem, Dataset and Method. | Yang Wang, Jun Xu, Jiaogen Zhou, Jihong Guan |
| 2024 | ICASSP | Smooth Start: A Unified Approach for Gradual Transition from Cold to Old in Recommender Systems. | Jianwen Yang, Xiao Zhang, Jun Xu |
| 2024 | ICCD | ParaCkpt: Heterogeneous Multi-Path Checkpointing Mechanism for Training Deep Learning Models. | Shucheng Wang, Qiang Cao, Kaiye Zhou, Jun Xu, Zhandong Guo, Jiannan Guo |
| 2024 | ICDE | Modeling User Attention in Music Recommendation. | Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen |
| 2024 | ICICS | New Result for Breaking NTRU Encryption with Multiple Keys in Polynomial Time. | Zijian Song, Jun Xu, Binwu Xiang, Weijie Li, Dingfeng Ye |
| 2024 | ICML | Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. | Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu |
| 2024 | ICONIP | LBRFL: Lightweight Privacy-Preserving Federated Learning with Byzantine-Robustness. | Pingzhang Shen, Shengnan Zhao, Jun Xu, Chuan Zhao, Zhenxiang Chen, Shanqing Guo |
| 2024 | ICPP | SIndex: An SSD-based Large-scale Indexing with Deterministic Latency for Cloud Block Storage. | Shucheng Wang, Kaiye Zhou, Zhandong Guo, Qiang Cao, Jun Xu, Jie Yao |
| 2024 | ISSRE | Multi-level Fuzzing for Document File Formats with Intermediate Representations. | Yifan Wang, Jun Xu |
| 2024 | KDD | Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. | Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu |
| 2024 | KDD | Neural Retrievers are Biased Towards LLM-Generated Content. | Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu |
| 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 | Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. | Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu |
| 2024 | KDD | Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. | Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2024 | MICCAI | Baikal: Unpaired Denoising of Fluorescence Microscopy Images Using Diffusion Models. | Shivesh Chaudhary, Sivaramakrishnan Sankarapandian, Matt Sooknah, Joy Pai, Caroline McCue, Zhenghao Chen, Jun Xu |
| 2024 | MMSys | Pioneer: Offline Reinforcement Learning based Bandwidth Estimation for Real-Time Communication. | Bingcong Lu, Keyu Wang, Jun Xu, Rong Xie, Li Song, Wenjun Zhang |
| 2024 | RecSys | Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce. | Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin |
| 2024 | WWW | List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. | Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng |
| 2024 | WWW | FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval. | Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi |
| 2024 | SIGIR | A Taxation Perspective for Fair Re-ranking. | Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua |
| 2024 | SIGIR | ReCODE: Modeling Repeat Consumption with Neural ODE. | Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu |
| 2024 | SIGIR | Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach. | Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu |
| 2024 | SIGIR | UniSAR: Modeling User Transition Behaviors between Search and Recommendation. | Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song |
| 2024 | SIGIR | To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process. | Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu |
| 2024 | SIGIR | Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. | Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng |
| 2024 | SIGIR | Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy. | Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu |
| 2024 | WACV | Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution. | Zhewei Huang, Ailin Huang, Xiaotao Hu, Chen Hu, Jun Xu, Shuchang Zhou |
| 2024 | WACV | 4K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameters. | Yijie Zhou, Chao Li, Jin Liang, Tianyi Xu, Xin Liu, Jun Xu |
| 2024 | SP | Revisiting Black-box Ownership Verification for Graph Neural Networks. | Ruikai Zhou, Kang Yang, Xiuling Wang, Wendy Hui Wang, Jun Xu |
| 2023 | AsiaCCS | Eliminating Vulnerabilities by Disabling Unwanted Functionality in Binary Programs. | Mohamad Mansouri, Jun Xu, Georgios Portokalidis |
| 2023 | CCS | SysPart: Automated Temporal System Call Filtering for Binaries. | Vidya Lakshmi Rajagopalan, Konstantinos Kleftogiorgos, Enes Gktas, Jun Xu, Georgios Portokalidis |
| 2023 | CCS | Profile-guided System Optimizations for Accelerated Greybox Fuzzing. | Yunhang Zhang, Chengbin Pang, Stefan Nagy, Xun Chen, Jun Xu |
| 2023 | CIKM | Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. | Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen |
| 2023 | CIKM | HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. | Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu |
| 2023 | CIKM | KuaiSAR: A Unified Search And Recommendation Dataset. | Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu |
| 2023 | CVPR | A Dynamic Multi-Scale Voxel Flow Network for Video Prediction. | Xiaotao Hu, Zhewei Huang, Ailin Huang, Jun Xu, Shuchang Zhou |
| 2023 | EMNLP | Joint Semantic and Strategy Matching for Persuasive Dialogue. | Chuhao Jin, Yutao Zhu, Lingzhen Kong, Shijie Li, Xiao Zhang, Ruihua Song, Xu Chen, Huan Chen, Yuchong Sun, Yu Chen, Jun Xu |
| 2023 | ICDT | On Efficient Range-Summability of IID Random Variables in Two or Higher Dimensions. | Jingfan Meng, Huayi Wang, Jun Xu, Mitsunori Ogihara |
| 2023 | IPCCC | Optimal Task Offloading for Edge Computing with Stochastic Task Arrivals. | Jun Xu, Dejun Yang |
| 2023 | IROS | A Safety Filter for Realizing Safe Robot Navigation in Crowds. | Kaijun Feng, Zetao Lu, Jun Xu, Haoyao Chen, Yunjiang Lou |
| 2023 | KDD | Controllable Multi-Objective Re-ranking with Policy Hypernetworks. | Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu |
| 2023 | MICCAI | Semi-supervised 3D Tooth Segmentation Using nn-UNet with Axial Attention and Positional Correction. | Qiupu Chen, Yimou Wang, Jun Xu, Qiankun Li |
| 2023 | RecSys | Uncovering ChatGPT's Capabilities in Recommender Systems. | Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu |
| 2023 | RecSys | Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. | Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen |
| 2023 | WWW | P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. | Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong |
| 2023 | SIGIR | When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. | Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen |
| 2023 | SIGIR | Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. | Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen |
| 2023 | UAI | Conditional counterfactual causal effect for individual attribution. | Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He |
| 2023 | SP | AEM: Facilitating Cross-Version Exploitability Assessment of Linux Kernel Vulnerabilities. | Zheyue Jiang, Yuan Zhang, Jun Xu, Xinqian Sun, Zhuang Liu, Min Yang |
| 2023 | SP | AEM: Facilitating Cross-Version Exploitability Assessment of Linux Kernel Vulnerabilities. | Zheyue Jiang, Yuan Zhang, Jun Xu, Xinqian Sun, Zhuang Liu, Min Yang |
| 2023 | WSDM | Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. | Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen |
| 2023 | SEC | Practical Single-Round Secure Wildcard Pattern Matching. | Jun Xu, Shengnan Zhao, Chuan Zhao, Zhenxiang Chen, Zhe Liu, Liming Fang |
| 2022 | ACL | Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals. | Zeming Liu, Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu |
| 2022 | AsiaCCS | Understanding Disparate Effects of Membership Inference Attacks and their Countermeasures. | Da Zhong, Haipei Sun, Jun Xu, Neil Zhenqiang Gong, Wendy Hui Wang |
| 2022 | ASIACRYPT | Improving Bounds on Elliptic Curve Hidden Number Problem for ECDH Key Exchange. | Jun Xu, Santanu Sarkar, Huaxiong Wang, Lei Hu |
| 2022 | CIKM | Dually Enhanced Propensity Score Estimation in Sequential Recommendation. | Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen |
| 2022 | COLING | Semantic Sentence Matching via Interacting Syntax Graphs. | Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen |
| 2022 | COLING | Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. | Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen |
| 2022 | CVPR | Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. | Chaowei Fang, Liang Wang, Dingwen Zhang, Jun Xu, Yixuan Yuan, Junwei Han |
| 2022 | CVPR | NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. | Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen |
| 2022 | ECCV | MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. | Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen |
| 2022 | ECCV | Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks. | Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu |
| 2022 | EMNLP | Extracting Trigger-sharing Events via an Event Matrix. | Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu |
| 2022 | HCI | A Virtual Reality Scaffolding Prototype for College Students Self-directed Learning in STEAM. | Jun Xu, Jinlei Weng, Ye Xu, Yuling Xin |
| 2022 | ICANN | Correlation-Based Transformer Tracking. | Minghan Zhong, Fanglin Chen, Jun Xu, Guangming Lu |
| 2022 | ICDT | A Dyadic Simulation Approach to Efficient Range-Summability. | Jingfan Meng, Huayi Wang, Jun Xu, Mitsunori Ogihara |
| 2022 | ICICS | New Results of Breaking the CLS Scheme from ACM-CCS 2014. | Jing Gao, Jun Xu, Tianyu Wang, Lei Hu |
| 2022 | ICIP | CNN-Based Fast CU Partitioning Algorithm for VVC Intra Coding. | Jun Xu, Guoqing Wu, Chen Zhu, Yan Huang, Li Song |
| 2022 | ICONIP | Variance Reduction for Deep Q-Learning Using Stochastic Recursive Gradient. | Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan |
| 2022 | INDOCRYPT | An Efficient Key Recovery Attack Against NTRUReEncrypt from AsiaCCS 2015. | Zijian Song, Jun Xu, Zhiwei Li, Dingfeng Ye |
| 2022 | ICTIR | A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. | Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen |
| 2022 | KDD | Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. | Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen |
| 2022 | MICCAI | Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. | Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang |
| 2022 | MMSys | A new free viewpoint video dataset and DIBR benchmark. | Shuai Guo, Kai Zhou, Jingchuan Hu, Jionghao Wang, Jun Xu, Li Song |
| 2022 | NDSS | Building Embedded Systems Like It's 1996. | Ruotong Yu, Francesca Del Nin, Yuchen Zhang, Shan Huang, Pallavi Kaliyar, Sarah Zakto, Mauro Conti, Georgios Portokalidis, Jun Xu |
| 2022 | WWW | A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. | Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen |
| 2022 | SIGIR | Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. | Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen |
| 2021 | AAAI | Regret Bounds for Online Kernel Selection in Continuous Kernel Space. | Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen |
| 2021 | ACL | Discovering Dialog Structure Graph for Coherent Dialog Generation. | Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che |
| 2021 | ACL | A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. | Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen |
| 2021 | APLAS | Proving LTL Properties of Bitvector Programs and Decompiled Binaries. | Yuandong Cyrus Liu, Chengbin Pang, Daniel Dietsch, Eric Koskinen, Ton-Chanh Le, Georgios Portokalidis, Jun Xu |
| 2021 | CVPR | Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. | Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng |
| 2021 | DSN | Towards Optimal Use of Exception Handling Information for Function Detection. | Chengbin Pang, Ruotong Yu, Dongpeng Xu, Eric Koskinen, Georgios Portokalidis, Jun Xu |
| 2021 | EuroCrypt | On the Ideal Shortest Vector Problem over Random Rational Primes. | Yanbin Pan, Jun Xu, Nick Wadleigh, Qi Cheng |
| 2021 | ISIT | Joint Differentially Private Channel Estimation in Cell-free Hybrid Massive MIMO. | Jun Xu, Xiaodong Wang, Pengcheng Zhu, Xiaohu You |
| 2021 | ISSRE | Vall-nut: Principled Anti-Grey box - Fuzzing. | Yuekang Li, Guozhu Meng, Jun Xu, Cen Zhang, Hongxu Chen, Xiaofei Xie, Haijun Wang, Yang Liu |
| 2021 | SIGIR | Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. | Liang Pang, Qingyao Ai, Jun Xu |
| 2021 | SIGIR | Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. | Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen |
| 2021 | SP | SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask. | Chengbin Pang, Ruotong Yu, Yaohui Chen, Eric Koskinen, Georgios Portokalidis, Bing Mao, Jun Xu |
| 2021 | WSDM | Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. | Liang Pang, Qingyao Ai, Jun Xu |
| 2021 | WSDM | Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. | Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen |
| 2021 | SecureComm | Facilitating Parallel Fuzzing with Mutually-Exclusive Task Distribution. | Yifan Wang, Yuchen Zhang, Chengbin Pang, Peng Li, Nikolaos Triandopoulos, Jun Xu |
| 2020 | AAAI | Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation. | Jun Xu, Haifeng Wang, Zhengyu Niu, Hua Wu, Wanxiang Che |
| 2020 | ACL | Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation. | Jun Xu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu |
| 2020 | CCS | PDiff: Semantic-based Patch Presence Testing for Downstream Kernels. | Zheyue Jiang, Yuan Zhang, Jun Xu, Qi Wen, Zhenghe Wang, Xiaohan Zhang, Xinyu Xing, Min Yang, Zhemin Yang |
| 2020 | ECCV | Learning to Learn with Variational Information Bottleneck for Domain Generalization. | Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao |
| 2020 | ECCV | Deep Hough Transform for Semantic Line Detection. | Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng |
| 2020 | ECCV | Gradient-Induced Co-Saliency Detection. | Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng |
| 2020 | EMNLP | Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. | Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue |
| 2020 | EMNLP | Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. | Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen |
| 2020 | ESORICS | HART: Hardware-Assisted Kernel Module Tracing on Arm. | Yunlan Du, Zhenyu Ning, Jun Xu, Zhilong Wang, Yueh-Hsun Lin, Fengwei Zhang, Xinyu Xing, Bing Mao |
| 2020 | ICML | Learning to Learn Kernels with Variational Random Features. | Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek |
| 2020 | IJCAI | Enhancing Dialog Coherence with Event Graph Grounded Content Planning. | Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che |
| 2020 | INFOCOM | Joint Inference on Truth/Rumor and Their Sources in Social Networks. | Shan Qu, Ziqi Zhao, Luoyi Fu, Xinbing Wang, Jun Xu |
| 2020 | IWCMC | Soft HARQ for 5G Downlink. | Chulong Liang, Jin Xu, Qiujin Guo, Jun Xu |
| 2020 | IWCMC | LDPC design for 5G NR URLLC & mMTC. | LiGuang Li, Jun Xu, Jin Xu, Liujun Hu |
| 2020 | PERCOM | Cross-Technology Communication through Symbol-Level Energy Modulation for Commercial Wireless Networks. | Junmei Yao, Xiaolong Zheng, Jun Xu, Kaishun Wu |
| 2020 | RecSys | Counterfactual learning for recommender system. | Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen |
| 2020 | WWW | RLPer: A Reinforcement Learning Model for Personalized Search. | Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen |
| 2020 | SIGIR | SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. | Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen |
| 2020 | SIGIR | Reinforcement Learning to Rank with Pairwise Policy Gradient. | Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen |
| 2020 | WACV | Variational Image Deraining. | Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang |
| 2020 | VCIP | Orthogonal Coded Multi-view Structured Light for Inter-view Interference Elimination. | Zaichao Sun, Guochao Qian, Zhaoyu Peng, Weiju Dai, Dongjun Sun, Gongyuan Zhang, Nongtao Zhang, Jun Xu, Ren Wang, Chunlin Li |
| 2020 | SP | SAVIOR: Towards Bug-Driven Hybrid Testing. | Yaohui Chen, Peng Li, Jun Xu, Shengjian Guo, Rundong Zhou, Yulong Zhang, Tao Wei, Long Lu |
| 2019 | AAAI | Teaching Machines to Extract Main Content for Machine Reading Comprehension. | Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2019 | AAAI | Differentiated Distribution Recovery for Neural Text Generation. | Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2019 | AAAI | HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng |
| 2019 | CCS | PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary. | Yaohui Chen, Dongliang Mu, Jun Xu, Zhichuang Sun, Wenbo Shen, Xinyu Xing, Long Lu, Bing Mao |
| 2019 | CIKM | Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning. | Junqi Zhang, Jiaxin Mao, Yiqun Liu, Ruizhe Zhang, Min Zhang, Shaoping Ma, Jun Xu, Qi Tian |
| 2019 | CRYPTO | New Results on Modular Inversion Hidden Number Problem and Inversive Congruential Generator. | Jun Xu, Santanu Sarkar, Lei Hu, Huaxiong Wang, Yanbin Pan |
| 2019 | ICCV | RANet: Ranking Attention Network for Fast Video Object Segmentation. | Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao |
| 2019 | IJCAI | Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection. | Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu |
| 2019 | IJCAI | HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning. | Shiyang Yan, Jun Xu, Yuai Liu, Lin Xu |
| 2019 | IJCNN | Author Disambiguation through Adversarial Network Representation Learning. | Liwen Peng, Siqi Shen, Dongsheng Li, Jun Xu, Yongquan Fu, Huayou Su |
| 2019 | IM | A Risk-defined Trust Transitivity Model for Group Decisions in Social Networks. | Jun Xu, Carol J. Fung |
| 2019 | INDOCRYPT | Revisiting Approximate Polynomial Common Divisor Problem and Noisy Multipolynomial Reconstruction. | Jun Xu, Santanu Sarkar, Lei Hu |
| 2019 | SIGIR | Name Entity Recognition with Policy-Value Networks. | Yadi Lao, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen |
| 2019 | SIGIR | PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. | Shuqi Lu, Zhicheng Dou, Jun Xu, Jian-Yun Nie, Ji-Rong Wen |
| 2019 | SEKE | An evolutionary model for dynamic and adaptative service composition in distributed environment. | Jiawei Lu, Huan Zhou, Jun Xu, Haibo Pan, Gang Xiao |
| 2019 | WSDM | Deep Learning for Matching in Search and Recommendation. | Jun Xu, Xiangnan He, Hang Li |
| 2018 | AAAI | Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. | Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | ACL | Tailored Sequence to Sequence Models to Different Conversation Scenarios. | Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2018 | ACL | Learning to Control the Specificity in Neural Response Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | AMIA | Asthma Onset Prediction Using Structured EMR Data. | Yang Xiang, Jun Xu, Jingcheng Du, Degui Zhi, Cui Tao |
| 2018 | AMIA | Detecting Anatomical Entities in Clinical Text. | Jun Xu, Yaoyun Zhang, Jingcheng Du, Jingqi Wang, Firat Tiryaki, Hua Xu |
| 2018 | CCS | LEMNA: Explaining Deep Learning based Security Applications. | Wenbo Guo, Dongliang Mu, Jun Xu, Purui Su, Gang Wang, Xinyu Xing |
| 2018 | CIKM | Neighborhood Voting: A Novel Search Scheme for Hashing. | Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | CIKM | A Network-embedding Based Method for Author Disambiguation. | Jun Xu, Siqi Shen, Dongsheng Li, Yongquan Fu |
| 2018 | CIKM | Question Headline Generation for News Articles. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng |
| 2018 | CVPR | A PID Controller Approach for Stochastic Optimization of Deep Networks. | Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang |
| 2018 | CVPR | A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping. | Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang |
| 2018 | DSN | RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots. | Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu |
| 2018 | ECCV | A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising. | Jun Xu, Lei Zhang, David Zhang |
| 2018 | ECIR | Spherical Paragraph Model. | Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | ECIR | Aggregating Neural Word Embeddings for Document Representation. | Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | FAST | Designing a True Direct-Access File System with DevFS. | Sudarsun Kannan, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Yuangang Wang, Jun Xu, Gopinath Palani |
| 2018 | GLOBECOM | Providing Distribution Estimation for Animal Tracking with Unmanned Aerial Vehicles. | Jun Xu, Grkan Solmaz, Rouhollah Rahmatizadeh, Ladislau Blni, Damla Turgut |
| 2018 | HCI | The Collaboration Learning in the Interdisciplinary Workshop Based on Design Thinking: A Learning Outcome Perspective. | Jun Xu, Gang Liu, Sicong Liu, Raoshan Xu |
| 2018 | HPCC | Networked Storage System Simulation and Performance Analysis. | Junpeng Niu, Jun Xu, Grant Mackey, Lihua Xie |
| 2018 | ICARCV | Learning Under-Specified Object Manipulations from Human Demonstrations. | Kun Qian, Jun Xu, Ge Gao, Fang Fang, Xudong Ma |
| 2018 | ICCCN | EVN: An Elastic Virtual Network Supporting NFV Customized and Rapid Migration. | Jian Zou, Jingyu Wang, Qi Qi, Haifeng Sun, Zhenguang Yu, Jun Xu |
| 2018 | ICOST | Testing a Model of Adoption and Continued Use of Personally Controlled Electronic Health Record (PCEHR) System Among Australian Consumers: A Preliminary Study. | Jun Xu, Xiangzhu Gao, Golam Sorwar, Nicky Antonius, John Hammond |
| 2018 | ICOST | Exploring Individuals' Perceptions on Personally Controlled Electronic Health Record System. | Jun Xu, Xiangzhu Gao, Golam Sorwar, Nicky Antonius, John Hammond |
| 2018 | ICOST | Understanding Individual Users' Perspectives on the Personally Controlled Electronic Health Record (PCEHR) System: Results of Field Study. | Jun Xu, Xiangzhu Gao, John Hammond, Nicky Antonius, Golam Sorwar |
| 2018 | ICPR | A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images. | Minglin Ma, Yinghuan Shi, Wenbin Li, Yang Gao, Jun Xu |
| 2018 | IJCAI | Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. | Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2018 | IJCNN | SeriesNet: A Generative Time Series Forecasting Model. | Zhipeng Shen, Yuanming Zhang, Jiawei Lu, Jun Xu, Gang Xiao |
| 2018 | ICTIR | MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. | Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2018 | ICTIR | Multi Page Search with Reinforcement Learning to Rank. | Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2018 | LCN | Taxi Dispatch Planning via Demand and Destination Modeling. | Jun Xu, Rouhollah Rahmatizadeh, Ladislau Blni, Damla Turgut |
| 2018 | SIGIR | Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng |
| 2018 | SIGIR | From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. | Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng |
| 2018 | SIGIR | Deep Learning for Matching in Search and Recommendation. | Jun Xu, Xiangnan He, Hang Li |
| 2018 | SIGIR | Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. | Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2018 | SIGMETRICS | Safe Randomized Load-Balanced Switching by Diffusing Extra Loads. | Sen Yang, Bill Lin, Jun Xu |
| 2018 | SIGMETRICS | Predictive Impact Analysis for Designing a Resilient Cellular Backhaul Network. | Sen Yang, He Yan, Zihui Ge, Dongmei Wang, Jun Xu |
| 2018 | SIGMETRICS | PreFix: Switch Failure Prediction in Datacenter Networks. | Shenglin Zhang, Ying Liu, Weibin Meng, Zhiling Luo, Jiahao Bu, Sen Yang, Peixian Liang, Dan Pei, Jun Xu, Yuzhi Zhang, Yu Chen, Hui Dong, Xianping Qu, Lei Song |
| 2018 | SECON | Requirement-Driven Magnetic Beamforming for MIMO Wireless Power Transfer Optimization. | Guodong Cao, Hao Zhou, Hangkai Zhang, Jun Xu, Panlong Yang, Xiang-Yang Li |
| 2018 | SECON | IARA: An Intelligent Application-Aware VNF for Network Resource Allocation with Deep Learning. | Jun Xu, Jingyu Wang, Qi Qi, Haifeng Sun, Bo He |
| 2017 | ACML | Locally Smoothed Neural Networks. | Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng |
| 2017 | AMIA | A Natural Language Processing System for Biomedical Dataset Retrieval. | Xiaoling Chen, Jun Xu, Jingqi Wang, Anupama E. Gururaj, Lucila Ohno-Machado, Hua Xu |
| 2017 | AMIA | Clinical Named Entity Recognition Using Deep Learning Models. | Yonghui Wu, Min Jiang, Jun Xu, Degui Zhi, Hua Xu |
| 2017 | AMIA | Detecting Contradictory and Consistent Citations in Biomedical Literature. | Jun Xu, Yonghui Wu, Yaoyun Zhang, Qiang Wei, Hua Xu |
| 2017 | AMIA | Detecting Body Location Modifiers of Disorders in Clinical Texts via Sequence Labeling. | Jun Xu, Yonghui Wu, Yaoyun Zhang, Hua Xu |
| 2017 | CCS | FlashGuard: Leveraging Intrinsic Flash Properties to Defend Against Encryption Ransomware. | Jian Huang, Jun Xu, Xinyu Xing, Peng Liu, Moinuddin K. Qureshi |
| 2017 | CIKM | Learning Visual Features from Snapshots for Web Search. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng |
| 2017 | CIKM | DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng |
| 2017 | DSN | What You See is Not What You Get! Thwarting Just-in-Time ROP with Chameleon. | Ping Chen, Jun Xu, Zhisheng Hu, Xinyu Xing, Minghui Zhu, Bing Mao, Peng Liu |
| 2017 | HCI | Applying Working Memory Theory to Redesign a Mobile Application User Interface: Take a Handicraft Self-learning Page as an Example. | Jun Xu, Sicong Liu, Xiaozhen Fu |
| 2017 | ICCV | Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. | Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng |
| 2017 | IWQoS | Syslog processing for switch failure diagnosis and prediction in datacenter networks. | Shenglin Zhang, Weibin Meng, Jiahao Bu, Sen Yang, Ying Liu, Dan Pei, Jun Xu, Yu Chen, Hui Dong, Xianping Qu, Lei Song |
| 2017 | LCN | A Sequence Learning Model with Recurrent Neural Networks for Taxi Demand Prediction. | Jun Xu, Rouhollah Rahmatizadeh, Ladislau Blni, Damla Turgut |
| 2017 | SIGIR | Reinforcement Learning to Rank with Markov Decision Process. | Zheng Wei, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2017 | SIGIR | Adapting Markov Decision Process for Search Result Diversification. | Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng |
| 2017 | VEE | Dancing with Wolves: Towards Practical Event-driven VMM Monitoring. | Liang Deng, Peng Liu, Jun Xu, Ping Chen, Qingkai Zeng |
| 2016 | AAAI | SPAN: Understanding a Question with Its Support Answers. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2016 | AAAI | Text Matching as Image Recognition. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng |
| 2016 | AAAI | Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2016 | AAAI | A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. | Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng |
| 2016 | ACCV | Patch Group Based Bayesian Learning for Blind Image Denoising. | Jun Xu, Dongwei Ren, Lei Zhang, David Zhang |
| 2016 | AMIA | What Can Neural Networks Learn from Unlabeled Clinical Narratives? | Yonghui Wu, Jun Xu, Yaoyun Zhang, Hua Xu |
| 2016 | CCS | Demo: A Symbolic N-Variant System. | Jun Xu, Pinyao Guo, Bo Chen, Robert F. Erbacher, Ping Chen, Peng Liu |
| 2016 | CCS | CREDAL: Towards Locating a Memory Corruption Vulnerability with Your Core Dump. | Jun Xu, Dongliang Mu, Ping Chen, Xinyu Xing, Pei Wang, Peng Liu |
| 2016 | CCS | Generally Hybrid Proxy Re-Encryption: A Secure Data Sharing among Cryptographic Clouds. | Peng Xu, Jun Xu, Wei Wang, Hai Jin, Willy Susilo, Deqing Zou |
| 2016 | CIKM | Ease the Process of Machine Learning with Dataflow. | Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, Xueqi Cheng |
| 2016 | COLING | A Unified Architecture for Semantic Role Labeling and Relation Classification. | Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu, Jun Xu |
| 2016 | CVPR | MSR-VTT: A Large Video Description Dataset for Bridging Video and Language. | Jun Xu, Tao Mei, Ting Yao, Yong Rui |
| 2016 | ECIR | Multi-task Representation Learning for Demographic Prediction. | Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2016 | IAS | Consensus of Discrete-Time Linear Networked Multi-agent Systems Subject to Actuator Saturation. | Boyang Du, Guoliang Zhang, Jun Xu, Jing Zeng, Yong Zhang |
| 2016 | ICPADS | Balanced Parity Update Algorithm with Queueing Length Awareness for RAID Arrays. | Youxu Chen, Yinlong Xu, Yongkun Li, Jun Xu |
| 2016 | IJCAI | Sparse Word Embeddings Using ℓ | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2016 | IJCAI | Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. | Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng |
| 2016 | IJCNN | Application of Deep Belief Networks for opcode based malware detection. | Yuxin Ding, Sheng Chen, Jun Xu |
| 2016 | VTC | Construction of Structured LDPC Code Based on Correlation Limitation. | Jun Xu, Dongming Wang, Jin Xu, Xiaomei Xu, LiGuang Li, Xiaohu You |
| 2016 | VTC | Physical Layer Packet Coding: Inter-Block Cooperative Coding for 5G. | Jun Xu, Dongming Wang, Jin Xu, Xiaomei Xu, LiGuang Li, Xiaohu You |
| 2016 | VTC | Multi-User Shared Access for Internet of Things. | Zhifeng Yuan, Guanghui Yu, Weimin Li, Yifei Yuan, Xinhui Wang, Jun Xu |