Chen, Jiawei

41 publications

AAAI 2025 Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
AAAI 2025 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
TMLR 2025 Conditional Image Synthesis with Diffusion Models: A Survey Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang
AAAI 2025 Debiased Multimodal Understanding for Human Language Sequences Zhi Xu, Dingkang Yang, Mingcheng Li, Yuzheng Wang, Zhaoyu Chen, Jiawei Chen, Jinjie Wei, Lihua Zhang
ICML 2025 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
NeurIPS 2025 Learning Counterfactual Outcomes Under Rank Preservation Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang
CVPR 2025 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
NeurIPS 2025 Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness–Generalization Perspective Ming Gu, Zhuonan Zheng, Sheng Zhou, Meihan Liu, Jiawei Chen, Qiaoyu Tan, Liangcheng Li, Jiajun Bu
ICCV 2025 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
ICML 2025 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
ICLR 2025 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
ICLR 2025 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
ICML 2025 Towards a Unified Framework of Clustering-Based Anomaly Detection Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
NeurIPS 2025 Tree of Preferences for Diversified Recommendation Hanyang Yuan, Ning Tang, Tongya Zheng, Jiarong Xu, Xintong Hu, Renhong Huang, Shunyu Liu, Jiacong Hu, Jiawei Chen, Mingli Song
NeurIPS 2025 Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Jiawei Chen, Jiajun Bu
NeurIPS 2024 Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment Jiawei Chen, Chunhui Zhao
AAAI 2024 Benchmarking Large Language Models in Retrieval-Augmented Generation Jiawei Chen, Hongyu Lin, Xianpei Han, Le Sun
ACML 2024 Large Vision-Language Models as Emotion Recognizers in Context Awareness Yuxuan Lei, Dingkang Yang, Zhaoyu Chen, Jiawei Chen, Peng Zhai, Lihua Zhang
NeurIPS 2024 PSL: Rethinking and Improving SoftMax Loss from Pairwise Perspective for Recommendation Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
NeurIPS 2024 PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications Dingkang Yang, Jinjie Wei, Dongling Xiao, Shunli Wang, Tong Wu, Gang Li, Mingcheng Li, Shuaibing Wang, Jiawei Chen, Yue Jiang, Qingyao Xu, Ke Li, Peng Zhai, Lihua Zhang
ACML 2024 SceneWeaver: Text-Driven Scene Generation with Geometry-Aware Gaussian Splatting Xiaolu Hou, Mingcheng Li, Jiawei Chen, Dingkang Yang, Ziyun Qian, Lihua Zhang
NeurIPS 2024 Self-Retrieval: End-to-End Information Retrieval with One Large Language Model Qiaoyu Tang, Jiawei Chen, Zhuoqun Li, Bowen Yu, Yaojie Lu, Cheng Fu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li
NeurIPS 2024 Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning Mingcheng Li, Dingkang Yang, Yang Liu, Shunli Wang, Jiawei Chen, Shuaibing Wang, Jinjie Wei, Yue Jiang, Qingyao Xu, Xiaolu Hou, Mingyang Sun, Ziyun Qian, Dongliang Kou, Lihua Zhang
IJCAI 2023 Discriminative-Invariant Representation Learning for Unbiased Recommendation Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He
NeurIPSW 2023 How Robust Is Google's Bard to Adversarial Image Attacks? Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu
NeurIPS 2023 OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang
AAAI 2023 Robust Sequence Networked Submodular Maximization Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen
NeurIPS 2023 Understanding Contrastive Learning via Distributionally Robust Optimization Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
NeurIPS 2022 BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu
WACV 2022 MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition Jiawei Chen, Chiu Man Ho
ICCV 2021 Distilling Holistic Knowledge with Graph Neural Networks Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
NeurIPS 2021 Speech-T: Transducer for Text to Speech and Beyond Jiawei Chen, Xu Tan, Yichong Leng, Jin Xu, Guihua Wen, Tao Qin, Tie-Yan Liu
AAAI 2021 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
CVPRW 2020 A Cyclically-Trained Adversarial Network for Invariant Representation Learning Jiawei Chen, Janusz Konrad, Prakash Ishwar
AAAI 2020 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
AAAI 2020 Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
ECCVW 2020 GCF-Net: Gated CLIP Fusion Network for Video Action Recognition Jenhao Hsiao, Jiawei Chen, Chiu Man Ho
AAAI 2020 Generative Adversarial Networks for Video-to-Video Domain Adaptation Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng
ECCV 2020 Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
CVPRW 2018 VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition Jiawei Chen, Janusz Konrad, Prakash Ishwar
WACV 2017 Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at Extremely Low Resolutions Jiawei Chen, Jonathan Wu, Janusz Konrad, Prakash Ishwar