| 2026 | AAAI | RFNNS: Robust Fixed Neural Network Steganography with Universal Text-to-Image Models. | Yu Cheng, Jiuan Zhou, Jiawei Chen, Zhaoxia Yin, Xinpeng Zhang |
| 2026 | AAAI | Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance. | Lifan Zheng, Jiawei Chen, Qinghong Yin, Jingyuan Zhang, Xinyi Zeng, Yu Tian |
| 2026 | ACL | CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection. | Yihan Chen, Jiawei Chen, Guozhao Mo, Xuanang Chen, Ben He, Xianpei Han, Le Sun |
| 2026 | ACL | Red Teaming Large Reasoning Models. | Jiawei Chen, Yang Yang, Chao Yu, Yu Tian, Zhi Cao, Xue Yang, Linghao Li, Hang Su, Zhaoxia Yin |
| 2026 | ACL | ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction. | Zichun Guo, Yuling Shi, Wenhao Zeng, Chao Hu, Haotian Lin, Terry Yue Zhuo, Jiawei Chen, Xiaodong Gu, Wenping Ma |
| 2026 | ACL | Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective. | Zhezheng Hao, Hong Wang, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong, Qiang Lin, Can Wang, Jiawei Chen |
| 2026 | ACL | ReCreate: Reasoning and Creating Domain Agents Driven by Experience. | Zhezheng Hao, Hong Wang, Jian Luo, Jianqing Zhang, Yuyan Zhou, Qiang Lin, Can Wang, Hande Dong, Jiawei Chen |
| 2026 | ACL | LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world Tasks. | Jiayong Wan, Jiawei Chen, Zhaoxia Yin, Shuyuan Liu, Hang Su |
| 2026 | ACL | MemSearcher: Iterative Memory Integration for Search Agent via End-to-End Reinforcement Learning. | Qianhao Yuan, Jie Lou, Zichao Li, Jiawei Chen, Yaojie Lu, Hongyu Lin, Le Sun, Debing Zhang, Xianpei Han |
| 2026 | ACL | A Game-Theoretica Negotiation Framework for Cross-Cultural Consensus. | Guoxi Zhang, Jiawei Chen, Tianzhuo Yang, Jiaming Ji, Yaodong Yang, Juntao Dai |
| 2026 | ACL | DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models. | Lifan Zheng, Xue Yang, Jiawei Chen, Chenyan Wu, Jingyuan Zhang, Fanheng Kong, Xinyi Zeng, Xiang Chen, Yu Tian |
| 2026 | DASFAA | DGTC: Dynamic Graph Transformer for Graph-Level Classification. | Zhe Wang, Jiawei Chen, Sheng Zhou, Canghong Jin, Chun Chen, Can Wang |
| 2026 | EACL | Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration. | Guozhao Mo, Yanjiang Liu, Yafei Shi, Jiawei Chen, Yang Li, Yaojie Lu, Hongyu Lin, Ben He, Le Sun, Bo Zheng, Xianpei Han |
| 2026 | FM | A General Framework for Robust Quantitative Semantics of Signal Temporal Logic. | Jiawei Chen, Jos Luiz Vargas de Mendona, Konstantinos Mamouras, Jean-Baptiste Jeannin |
| 2026 | ICDCS | Heterogeneous Graph Backdoor Attack. | Jiawei Chen, Lusi Li, Daniel Takabi, Masha Sosonkina, Rui Ning |
| 2026 | IWCMC | UniFlexFlow: A Unified Framework for Scalable Distributed Deep Learning on Heterogeneous Many-Core Supercomputers. | Wu Ye, Jiawei Chen, Siyuan Li, Xuezheng Liu, Di Wu |
| 2026 | KDD | GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies. | Jingqi Yang, Zhilong Song, Jiawei Chen, Mingli Song, Sheng Zhou, Linjun Sun, Xiaogang Ouyang, Chun Chen, Can Wang |
| 2026 | PAKDD | A Survey on Advances of Foundation Models in Federated Learning. | Shunan Zhu, Jiawei Chen, Hideya Ochiai |
| 2026 | WWW | TopKGAT: A Top-K Objective-Driven Architecture for Recommendation. | Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang |
| 2026 | WWW | Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction. | Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang |
| 2026 | WWW | RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation. | Yixuan Huang, Jiawei Chen, Shengfan Zhang, Zongsheng Cao |
| 2026 | WWW | Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders. | Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang |
| 2026 | WWW | Talos: Optimizing Top-K Accuracy in Recommender Systems. | Shengjia Zhang, Weiqin Yang, Jiawei Chen, Peng Wu, Yuegang Sun, Gang Wang, Qihao Shi, Can Wang |
| 2026 | SIGIR | Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation. | Ruijun Chen, Chongming Gao, Jiawei Chen, Weiqin Yang, Xiangnan He |
| 2026 | SIGIR | SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation. | Yu Cui, Feng Liu, Zhaoxiang Wang, Changwang Zhang, Jun Wang, Can Wang, Jiawei Chen |
| 2026 | SIGIR | BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models. | Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang |
| 2025 | AAAI | BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation. | Xiaolu Hou, Mingcheng Li, Dingkang Yang, Jiawei Chen, Ziyun Qian, Xiao Zhao, Yue Jiang, Jinjie Wei, Qingyao Xu, Lihua Zhang |
| 2025 | AAAI | Debiased Multimodal Understanding for Human Language Sequences. | Zhi Xu, Dingkang Yang, Mingcheng Li, Yuzheng Wang, Zhaoyu Chen, Jiawei Chen, Jinjie Wei, Lihua Zhang |
| 2025 | AAAI | Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rnyi Divergence-Based Solution. | Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang |
| 2025 | ACL | Root Defense Strategies: Ensuring Safety of LLM at the Decoding Level. | Xinyi Zeng, Yuying Shang, Jiawei Chen, Jingyuan Zhang, Yu Tian |
| 2025 | CSCWD | Collaboration-Aware Service Composition Optimization for Production Factors Under Industrial Internet. | Jiayi Zhong, Yaling Tang, Jiawei Chen, Xiaokang Zhou, Xiaocong Xiao, Guosheng Kang |
| 2025 | CVPR | MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation. | Mingcheng Li, Xiaolu Hou, Ziyang Liu, Dingkang Yang, Ziyun Qian, Jiawei Chen, Jinjie Wei, Yue Jiang, Qingyao Xu, Lihua Zhang |
| 2025 | CVPR | Medal S: Spatio-Textual Prompt Model for Medical Segmentation. | Pengcheng Shi, Jiawei Chen, Jiaqi Liu, Xinglin Zhang, Tao Chen, Lei Li |
| 2025 | DATE | SEDG: Stitch-Compatible End-to-End Layout Decomposition Based on Graph Neural Network. | Yifan Guo, Jiawei Chen, Yexin Li, Yunxiang Zhang, Qing Zhang, Yuhang Zhang, Yongfu Li |
| 2025 | EMNLP | ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch. | Jiawei Chen, Xinyan Guan, Qianhao Yuan, Guozhao Mo, Weixiang Zhou, Yaojie Lu, Hongyu Lin, Ben He, Le Sun, Xianpei Han |
| 2025 | ICASSP | FruitMMBench: A Multi-modal Benchmark for Fruit Quality Assessment. | Jiawei Chen, Gong Huang, Liu Liu, Zhenbo Xu, Qinghong Yang |
| 2025 | ICASSP | Combining Loss-aware Curriculum Learning with Incomplete Graph Neural Networks. | Jiawei Chen, Keao Xi, Gaoke Zhang, Yueheng Sun, Wenjun Wang |
| 2025 | ICASSP | CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation. | Yue Jiang, Jiawei Chen, Dingkang Yang, Mingcheng Li, Shunli Wang, Tong Wu, Ke Li, Lihua Zhang |
| 2025 | ICCV | ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers. | Qianhao Yuan, Qingyu Zhang, Yanjiang Liu, Jiawei Chen, Yaojie Lu, Hongyu Lin, Jia Zheng, Xianpei Han, Le Sun |
| 2025 | ICLR | The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model. | Jiawei Chen, Wentao Chen, Jing Su, Jingjing Xu, Hongyu Lin, Mengjie Ren, Yaojie Lu, Xianpei Han, Le Sun |
| 2025 | ICLR | Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. | Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He |
| 2025 | ICML | Towards a Unified Framework of Clustering-based Anomaly Detection. | Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu |
| 2025 | ICML | DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation. | Dongya Jia, Zhuo Chen, Jiawei Chen, Chenpeng Du, Jian Wu, Jian Cong, Xiaobin Zhuang, Chumin Li, Zhen Wei, Yuping Wang, Yuxuan Wang |
| 2025 | ICML | Sounding that Object: Interactive Object-Aware Image to Audio Generation. | Tingle Li, Baihe Huang, Xiaobin Zhuang, Dongya Jia, Jiawei Chen, Yuping Wang, Zhuo Chen, Gopala Anumanchipalli, Yuxuan Wang |
| 2025 | ICNP | HeTu: High-Performance Centralized Parallel Data-Plane Verification for Hyper-Scale DCNs. | Peng Peng, Xun Sun, Zhengtao Shen, Feiyang Ding, Jiawei Chen, Lizhao You, Weirong Jiang, Yongping Tang, Feng Luo |
| 2025 | IROS | A Mole-inspired Incisor-Burrowing Robotic Platform for Planetary Exploration. | Ran Xu, Jiabin Liu, Zhaofeng Liang, Hongmin Zheng, Kunquan Zheng, Zibiao Chen, Jiawei Chen, Tao Zhang, Kun Xu, Xilun Ding |
| 2025 | IECON | Large-Signal Stability Analysis of Hybrid Energy Storage System Based on Estimation of Domain of Attraction. | Jiaxin Bai, Peiyao Xiong, Xuehao Liu, Wenjie Ao, Jiawei Chen, Wentao Jiang |
| 2025 | IECON | Optimal Sizing Algorithm of Multi Source Hybrid Power System for Unmanned Aerial Vehicle. | Fei Cao, Wentao Jiang, Rui Ma, Yang Zhou, Hao Bai, Jiawei Chen |
| 2025 | IECON | A virtual DC machine control strategy for enhancing the stability of four-switch Buck-Boost converters under constant power loads. | Xuehao Liu, Wentao Jiang, Rui Ma, Hao Bai, Yang Zhou, Jiawei Chen, Ruoxuan Quan, Peiyao Xiong |
| 2025 | IECON | VMD-SO-LSTM Based Fault Prediction and Proactive Fault-Tolerant Control Strategy for IGBT in Hydrogen Production Converters. | Xinke Zhu, Jiawei Chen |
| 2025 | KDD | Breaking the Top- | Weiqin Yang, Jiawei Chen, Shengjia Zhang, Peng Wu, Yuegang Sun, Yan Feng, Chun Chen, Can Wang |
| 2025 | NAACL | AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs. | Jiawei Chen, Xiao Yang, Zhengwei Fang, Yu Tian, Yinpeng Dong, Zhaoxia Yin, Hang Su |
| 2025 | WWW | Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. | Sirui Chen, Shen Han, Jiawei Chen, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang |
| 2025 | WWW | Uncertainty-Aware Graph Structure Learning. | Shen Han, Zhiyao Zhou, Jiawei Chen, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang |
| 2025 | SIGIR | MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. | Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang |
| 2025 | SIGCOMM | S2: A Distributed Configuration Verifier for Hyper-Scale Networks. | Dan Wang, Peng Zhang, Wenbing Sun, Wenkai Li, Xing Feng, Hao Li, Jiawei Chen, Weirong Jiang, Yongping Tang |
| 2025 | WSDM | Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. | Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen |
| 2025 | WSDM | How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. | Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang |
| 2025 | WSDM | Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. | Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang |
| 2025 | USENIX | Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters. | Suyi Li, Lingyun Yang, Xiaoxiao Jiang, Hanfeng Lu, Dakai An, Zhipeng Di, Weiyi Lu, Jiawei Chen, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang |
| 2024 | AAAI | Benchmarking Large Language Models in Retrieval-Augmented Generation. | Jiawei Chen, Hongyu Lin, Xianpei Han, Le Sun |
| 2024 | ACL | DMIN: A Discourse-specific Multi-granularity Integration Network for Conversational Aspect-based Sentiment Quadruple Analysis. | Peijie Huang, Xisheng Xiao, Yuhong Xu, Jiawei Chen |
| 2024 | ACML | SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting. | Xiaolu Hou, Mingcheng Li, Jiawei Chen, Dingkang Yang, Ziyun Qian, Lihua Zhang |
| 2024 | ACML | Large Vision-Language Models as Emotion Recognizers in Context Awareness. | Yuxuan Lei, Dingkang Yang, Zhaoyu Chen, Jiawei Chen, Peng Zhai, Lihua Zhang |
| 2024 | APSEC | Improving Code Search with Hard Negative Sampling Based on Fine-tuning. | Hande Dong, Jiayi Lin, Yanlin Wang, Yichong Leng, Jiawei Chen, Yutao Xie |
| 2024 | CIKM | The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. | Binbin Hu, Weifan Wang, Shuhan Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen |
| 2024 | CIKM | Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding. | Yichen Liu, Jiawei Chen, Defang Chen, Zhehui Zhou, Yan Feng, Can Wang |
| 2024 | COLING | Few-shot Named Entity Recognition via Superposition Concept Discrimination. | Jiawei Chen, Hongyu Lin, Xianpei Han, Yaojie Lu, Shanshan Jiang, Bin Dong, Le Sun |
| 2024 | COLING | Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models. | Boxi Cao, Qiaoyu Tang, Hongyu Lin, Shanshan Jiang, Bin Dong, Xianpei Han, Jiawei Chen, Tianshu Wang, Le Sun |
| 2024 | HOTNETS | Automatic Configuration Repair. | Xu Liu, Peng Zhang, Anubhavnidhi Abhashkumar, Jiawei Chen, Weirong Jiang |
| 2024 | ICANN | MISS: A Generative Pre-training and Fine-Tuning Approach for Med-VQA. | Jiawei Chen, Dingkang Yang, Yue Jiang, Yuxuan Lei, Lihua Zhang |
| 2024 | ICDE | Fast Query Answering by Labeling Index on Uncertain Graphs. | Zeyu Wang, Qihao Shi, Jiawei Chen, Can Wang, Mingli Song, Xinyu Wang |
| 2024 | ICDE | BSL: Understanding and Improving Softmax Loss for Recommendation. | Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang |
| 2024 | ICPR | Copyright Protection for Large Language Model EaaS via Unforgeable Backdoor Watermarking. | Cong Kong, Jiawei Chen, Shunquan Tan, Zhaoxia Yin, Xinpeng Zhang |
| 2024 | ICRA | Unlocking Versatile Locomotion: A Novel Quadrupedal Robot with 4-DoFs Legs for Roller Skating. | Jiawei Chen, Ripeng Qin, Longfei Huang, Zongbo He, Kun Xu, Xilun Ding |
| 2024 | ICRA | Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach. | Qikai Li, Qinchen Meng, Yuxing Qin, Jiawei Chen, Xilun Ding, Kun Xu |
| 2024 | MICCAI | Can LLMs' Tuning Methods Work in Medical Multimodal Domain? | Jiawei Chen, Yue Jiang, Dingkang Yang, Mingcheng Li, Jinjie Wei, Ziyun Qian, Lihua Zhang |
| 2024 | RecSys | Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models. | Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen |
| 2024 | RecSys | ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. | Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen |
| 2024 | WWW | Distributionally Robust Graph-based Recommendation System. | Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang |
| 2024 | SIGIR | SIGformer: Sign-aware Graph Transformer for Recommendation. | Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang |
| 2024 | SIGIR | EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems. | Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang |
| 2023 | AAAI | Robust Sequence Networked Submodular Maximization. | Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen |
| 2023 | ACL | Learning In-context Learning for Named Entity Recognition. | Jiawei Chen, Yaojie Lu, Hongyu Lin, Jie Lou, Wei Jia, Dai Dai, Hua Wu, Boxi Cao, Xianpei Han, Le Sun |
| 2023 | CIKM | Homophily-enhanced Structure Learning for Graph Clustering. | Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu |
| 2023 | CIKM | CDR: Conservative Doubly Robust Learning for Debiased Recommendation. | Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang |
| 2023 | GLOBECOM | Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications. | Jiawei Chen, Yang Xiao, Guocheng Lin, Gang He, Fang Liu, Wenli Zhou, Jun Liu |
| 2023 | HCI | Research on Online Theater Presentation Technology and Experience Based on the Relationship Between Viewers and Actors. | Jiawei Chen, Hantian Xu |
| 2023 | ICASSP | SDTN: Speaker Dynamics Tracking Network for Emotion Recognition in Conversation. | Jiawei Chen, Peijie Huang, Guotai Huang, Qianer Li, Yuhong Xu |
| 2023 | IGARSS | Robust Road Detection on High-Resolution Remote Sensing Images with Occlusion by a Dual-Decoded UNet. | Rongfang Wang, Haojiang Wei, Anna Wang, Jiawei Chen, Chunlei Huo, Yi Niu |
| 2023 | IJCAI | Discriminative-Invariant Representation Learning for Unbiased Recommendation. | Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He |
| 2023 | IGARSS | Lightweight Landslide Detection Method Based On Depth Separable Convolution And Double Self-Attention Mechanism | Weibin Li, Yuhui Kong, Rongfang Wang, Chunlei Huo, Jiawei Chen, Yi Niu |
| 2023 | Mobisys | Demo: Domino: A High-Precision Performance Monitoring and Analysis Platform for Client Applications. | Dong Li, Kaiyan Zhang, Dongping Cao, Jing Shen, Run Kang, Qiankang Mao, Jiawei Chen |
| 2023 | PQCrypto | A Tightly Secure Identity-Based Signature Scheme from Isogenies. | Jiawei Chen, Hyungrok Jo, Shingo Sato, Junji Shikata |
| 2023 | WWW | Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. | Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He |
| 2023 | WWW | On the Theories Behind Hard Negative Sampling for Recommendation. | Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He |
| 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 | A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. | Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang |
| 2023 | WSDM | Unbiased Knowledge Distillation for Recommendation. | Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He |
| 2023 | SIGITE | Molecular Dynamics Simulations on Coronavirus Variants of Concern (VOC). | Durga Narayana Varma Addepalli, Jiawei Chen, Chloe Yixin Xie |
| 2022 | ACL | Few-shot Named Entity Recognition with Self-describing Networks. | Jiawei Chen, Qing Liu, Hongyu Lin, Xianpei Han, Le Sun |
| 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 | EMSOFT | Work-in-Progress: Towards a Theory of Robust Quantitative Semantics for Signal Temporal Logic. | Jean-Baptiste Jeannin, Jiawei Chen, Jos Luiz Vargas de Mendona, Konstantinos Mamouras |
| 2022 | ICIS | Risk and Return of Blockchain Announcements in Chinese Stock Market - An Event Study. | Yanlin Zhang, Jiawei Chen |
| 2022 | IPIN | Research on Indoor Constraint Location Method of Mobile Phone Aided by Magnetic Features. | Jiawei Chen, Wenchao Zhang, Dongyan Wei, Xiaofeng Sun |
| 2022 | IECON | Research on Linear Active Disturbance Rejection and Super-twisting Algorithm in Vienna Rectifier. | Jiawei Chen, Hongpeng Liu, Zhenlan Dou, Wei Zhang, Xianliang Tong |
| 2022 | WWW | IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search. | Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He |
| 2022 | WACV | MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition. | Jiawei Chen, Chiu Man Ho |
| 2022 | TrustCom | LLDP: A Layer-wise Local Differential Privacy in Federated Learning. | Qian Chen, Hongbo Wang, Zilong Wang, Jiawei Chen, Haonan Yan, Xiaodong Lin |
| 2021 | AAAI | Time Series Domain Adaptation via Sparse Associative Structure Alignment. | Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang |
| 2021 | CIKM | DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. | Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He |
| 2021 | CIKM | CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. | Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding |
| 2021 | EMNLP | Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention. | Jiawei Chen, Hongyu Lin, Xianpei Han, Le Sun |
| 2021 | ICCV | Distilling Holistic Knowledge with Graph Neural Networks. | Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu |
| 2021 | IGARSS | Sar Image Change Detection via a Few-Shot Learning-Based Neural Network. | Rongfang Wang, Weidong Wang, Pinghai Dong, Haojiang Wei, Licheng Jiao, Jiawei Chen |
| 2021 | IGARSS | Graph-Level Neural Network for SAR Image Change Detection. | Rongfang Wang, Liang Wang, Pinghai Dong, Licheng Jiao, Jiawei Chen |
| 2021 | KDD | Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. | Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He |
| 2021 | MICCAI | InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction. | Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng |
| 2021 | RecSys | Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. | Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He |
| 2021 | WWW | On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. | Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui |
| 2021 | SIGIR | AutoDebias: Learning to Debias for Recommendation. | Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang |
| 2020 | AAAI | Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. | Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen |
| 2020 | AAAI | Generative Adversarial Networks for Video-to-Video Domain Adaptation. | Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng |
| 2020 | AAAI | DGE: Deep Generative Network Embedding Based on Commonality and Individuality. | Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang |
| 2020 | CHI | A General Methodology to Quantify Biases in Natural Language Data. | Jiawei Chen, Anbang Xu, Zhe Liu, Yufan Guo, Xiaotong Liu, Yingbei Tong, Rama Akkiraju, John M. Carroll |
| 2020 | CVPR | A Cyclically-Trained Adversarial Network for Invariant Representation Learning. | Jiawei Chen, Janusz Konrad, Prakash Ishwar |
| 2020 | ECCV | GCF-Net: Gated Clip Fusion Network for Video Action Recognition. | Jenhao Hsiao, Jiawei Chen, Chiu Man Ho |
| 2020 | ECCV | Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2020 | ICARCV | Sparse Causal Residual Neural Network for Linear and Nonlinear Concurrent Causal Inference and Root Cause Diagnosis. | Jiawei Chen, Chunhui Zhao, Youxian Sun |
| 2020 | IGARSS | A Lightweight Convolutional Neural Network for Bitemporal Image Change Detection. | Rongfang Wang, Fan Ding, Jiawei Chen, Licheng Jiao, Liang Wang |
| 2020 | IGARSS | SAR Image Change Detection Method via a Pyramid Pooling Convolutional Neural Network. | Rongfang Wang, Fan Ding, Jiawei Chen, Bo Liu, Jie Zhang, Licheng Jiao |
| 2020 | IGARSS | A Deep Generalized Correlation Network for Bitemporal Image Change Detection. | Rongfang Wang, Weidong Wang, Jiawei Chen, Licheng Jiao, Hongxia Hao |
| 2020 | IECON | Completely Decentralized Energy Management System with High Reliability for the Fuel Cell-Ultracapacitor Auxiliary Power Unit. | Qingchao Song, Zeng Fan, Ling Fang, Jiawei Chen, Caizhi Z. Zhang, Qianwen Xu |
| 2020 | IECON | Parameters Design and Stability Analysis of Weak-Grid Interfaced Inverter with Droop Control. | Xinying Zhang, Jie Chen, Xin Chen, Jiawei Chen |
| 2020 | IGARSS | Ship Segmentation on High-Resolution Sar Image by a 3D Dilated Multiscale U-Net. | Jichao Li, Chubing Guo, Shuiping Gou, Yuanbo Chen, Miao Wang, Jiawei Chen |
| 2020 | MICCAI | Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation. | Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | MI | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Instance-Aware Self-supervised Learning for Nuclei Segmentation. | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2019 | ICDE | Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies. | Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Yan Feng, Chun Chen |
| 2019 | ICIP | Fashion Recommendation on Street Images. | Huijing Zhan, Boxin Shi, Jiawei Chen, Qian Zheng, Ling-Yu Duan, Alex C. Kot |
| 2019 | IGARSS | Bitemporal Fully Polarimetric Sar Images Change Detection Via Nearest Regularized Joint Sparse and Transfer Dictionary Learning. | Yao Tan, Jichao Li, Peiyang Zhang, Shuiping Gou, Peng Wang, Yuanbo Chen, Jiawei Chen, Changyan Sun |
| 2019 | MICCAI | OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. | Yu Chen, Jiawei Chen, Dong Wei, Yuexiang Li, Yefeng Zheng |
| 2019 | WWW | SamWalker: Social Recommendation with Informative Sampling Strategy. | Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen |
| 2018 | APWEB | Query Performance Prediction and Classification for Information Search Systems. | Zhongmin Zhang, Jiawei Chen, Shengli Wu |
| 2018 | CIKM | Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. | Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang |
| 2018 | CVPR | Image Blind Denoising With Generative Adversarial Network Based Noise Modeling. | Jingwen Chen, Jiawei Chen, Hongyang Chao, Ming Yang |
| 2018 | CVPR | VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition. | Jiawei Chen, Janusz Konrad, Prakash Ishwar |
| 2018 | ICARCV | Indirect Neuroadaptive Control Design for High-order Nonlinear MIMO Systems with Actuator Failures. | Rui Gao, Jiangshuai Huang, Jiawei Chen, Fangzheng Xue |
| 2018 | ICDM | Social Recommendation with Missing Not at Random Data. | Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen |
| 2018 | ICIS | Session-Based Learning for Anchor Ranking on Live Streaming Platforms. | Jiawei Chen, Hongyan Liu, Jun He, Shiqiang Zheng |
| 2018 | IECON | Seamless Mode Transfer Control for a Master-Slave Microgrid. | Jiawei Chen, Shuaicheng Hou, Jie Chen |
| 2018 | MICCAI | Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. | Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. | Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James J. Xia, Dinggang Shen |
| 2017 | ISPA | Heterogeneous Parallel and Distributed Optimization of K-Means Algorithm on Sunway Supercomputer. | Rong Tan, Jiawei Chen, Yiwen Zhang |
| 2017 | WACV | Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at Extremely Low Resolutions. | Jiawei Chen, Jonathan Wu, Janusz Konrad, Prakash Ishwar |
| 2016 | AVSS | Privacy-preserving, indoor occupant localization using a network of single-pixel sensors. | Douglas Roeper, Jiawei Chen, Janusz Konrad, Prakash Ishwar |
| 2016 | CHI | 'MASTerful' Matchmaking in Service Transactions: Inferred Abilities, Needs and Interests versus Activity Histories. | Hyunggu Jung, Victoria Bellotti, Afsaneh Doryab, Dean Leitersdorf, Jiawei Chen, Benjamin V. Hanrahan, Sooyeon Lee, Daniel Turner, Anind K. Dey, John M. Carroll |
| 2016 | ICARCV | Distributed voltage unbalance compensation in an islanded microgrid system by using negative sequence current feedback. | Fanghong Guo, Changyun Wen, Jiawei Chen |
| 2016 | ICARCV | Stability analysis of islanded microgrids with dynamic loads. | Xiuqin Zhang, Jiawei Chen, Chengjun Wang |
| 2014 | ICARCV | Power control strategy for variable-speed fixed-pitch wind turbines. | Jiawei Chen, Changyun Wen, Yong-Duan Song |
| 2014 | IECON | Modeling and analysis of a single phase inverter system with PWM switch model. | Jianhua Wang, Baojian Ji, Tao Wu, Jiawei Chen |
| 2014 | ISNN | Perceptual Learning Model on Recognizing Chinese Characters. | Jiawei Chen, Yan Liu, Xiaomeng Li, Liujun Chen |
| 2014 | ISNN | The Relationship between Neural Avalanches and Neural Oscillations. | Yan Liu, Jiawei Chen, Liujun Chen |
| 2014 | SDM | Selecting a Representative Set of Diverse Quality Reviews Automatically. | Nana Xu, Hongyan Liu, Jiawei Chen, Jun He, Xiaoyong Du |
| 2012 | ICARCV | A visual attention model for dynamic scenes based on motion features. | Changle Zhou, Jiawei Chen, Jinliang Yao |
| 2012 | IECON | Energy management and power control for a stand-alone wind energy conversion system. | Jie Chen, Jiawei Chen, Chunying Gong, Xiang Deng |
| 2012 | IECON | Design and analysis of dynamic wind turbine simulator for wind energy conversion system. | Jiawei Chen, Jie Chen, Chunying Gong, Huizhen Wang |
| 2012 | IECON | A novel technique of low frequency input current ripple reduction in two-stage DC-AC inverter. | Zheng Wei, Xiang Deng, Chunying Gong, Jiawei Chen, Fanghua Zhang |
| 2011 | IGARSS | An improved spectral reflectance and derivative feature fusion for hyperspectral image classification. | Qingyan Wang, Junping Zhang, Jiawei Chen, Ye Zhang |
| 2010 | IGARSS | Hyperspectral image segmentation method based on spatial-spectral constrained region active contour. | Junping Zhang, Jiawei Chen, Ye Zhang, Bin Zou |
| 2009 | ICNC | A Neural Network Model for Chinese Character Perception. | Jiawei Chen, Yan Liu, Qinghua Chen, Liujun Chen, Fukang Fang |
| 2009 | ICNC | Chinese Character Learning by Synchronization in Wilson-Cowan Oscillatory Neural Networks. | Jiaxin Cui, Yan Liu, Jiawei Chen, Liujun Chen, Fukang Fang |
| 2009 | ICNC | Burst Spike Trains Recognition Based on the Dynamic Properties of Hodgkin-Huxley Neurons and Synapses. | Yan Liu, Liujun Chen, Jiawei Chen, Jiaxin Cui, Fukang Fang |
| 2009 | ISNN | Polyphone Recognition Using Neural Networks. | Lishu Li, Qinghua Chen, Jiawei Chen, Fukang Fang |
| 2009 | ISNN | A Novel Model for Recognition of Compounding Nouns in English and Chinese. | Lishu Li, Jiawei Chen, Qinghua Chen, Fukang Fang |
| 2008 | ICNC | A Neural Network Model for Concept Formation. | Jiawei Chen, Yan Liu, Qinghua Chen, Jiaxin Cui, Fukang Fang |
| 2008 | ICNC | The Strength Mutation Evolutionary Algorithm and Its Application in Multi-object Optimization. | Jiawei Chen, Kunhui Lin, Changle Zhou |
| 2008 | ICNC | A Visual Attention Model for Dynamic Scenes Based on Two-Pathway Processing in Brain. | Jiawei Chen, Changle Zhou, Kunhui Lin, Yanyun Qu |
| 2008 | ICNC | Real-Time Eye Detection in Video Streams. | Kunhui Lin, Jiyong Huang, Jiawei Chen, Changle Zhou |
| 2008 | ICNC | Dynamic Neural Network for Recognizing Interspike Interval Sequences. | Yan Liu, Liujun Chen, Jiawei Chen, Qinghua Chen, Fukang Fang |
| 2007 | ICCS | Emergence of Specialization from Global Optimizing Evolution in a Multi-agent System. | Lei Chai, Jiawei Chen, Zhangang Han, Zengru Di, Ying Fan |
| 2007 | ICCS | Discussion on the Spike Train Recognition Mechanisms in Neural Circuits. | Yan Liu, Liujun Chen, Jiawei Chen, Fangfeng Zhang, Fukang Fang |