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2020 – today
- 2024
[j185]Kun Zhang
, Dacao Zhang, Le Wu, Richang Hong, Ye Zhao, Meng Wang:
Label-aware debiased causal reasoning for Natural Language Inference. AI Open 5: 70-78 (2024)- [j184]Xun Yang, Tianyu Chang, Tianzhu Zhang, Shanshan Wang, Richang Hong, Meng Wang:
Learning Hierarchical Visual Transformation for Domain Generalizable Visual Matching and Recognition. Int. J. Comput. Vis. 132(11): 4823-4849 (2024) - [j183]Xuesong Zhang, Jun He, Jia Zhao, Zhenzhen Hu, Xun Yang, Jia Li, Richang Hong:
Exploring and exploiting model uncertainty for robust visual question answering. Multim. Syst. 30(6): 348 (2024) - [j182]Zhao Zhang, Huan Zheng, Richang Hong, Jicong Fan, Yi Yang, Shuicheng Yan:
FRC-Net: A Simple Yet Effective Architecture for Low-Light Image Enhancement. IEEE Trans. Consumer Electron. 70(1): 3332-3340 (2024) - [j181]Kang Liu, Feng Xue, Shuaiyang Li, Sheng Sang, Richang Hong:
Multimodal Hierarchical Graph Collaborative Filtering for Multimedia-Based Recommendation. IEEE Trans. Comput. Soc. Syst. 11(1): 216-227 (2024) - [j180]Yanrong Guo, Jilong Liu, Lei Wang, Wei Qin, Shijie Hao, Richang Hong:
A Prompt-Based Topic-Modeling Method for Depression Detection on Low-Resource Data. IEEE Trans. Comput. Soc. Syst. 11(1): 1430-1439 (2024) - [j179]Junwei Li, Le Wu, Yulu Du, Richang Hong, Weisheng Li:
Dual Graph Neural Networks for Dynamic Users' Behavior Prediction on Social Networking Services. IEEE Trans. Comput. Soc. Syst. 11(5): 7020-7031 (2024) - [j178]Zhenhua Tang, Yanbin Hao, Jia Li, Richang Hong:
FTCM: Frequency-Temporal Collaborative Module for Efficient 3D Human Pose Estimation in Video. IEEE Trans. Circuits Syst. Video Technol. 34(2): 911-923 (2024) - [j177]Zhao Xie, Jiao Chang, Kewei Wu, Dan Guo, Richang Hong:
Active Factor Graph Network for Group Activity Recognition. IEEE Trans. Image Process. 33: 1574-1587 (2024) - [j176]Wei Qin, Xiaowei Wang, Zhenzhen Hu, Lei Wang, Yunshi Lan, Richang Hong:
Math Word Problem Generation via Disentangled Memory Retrieval. ACM Trans. Knowl. Discov. Data 18(5): 123:1-123:21 (2024) - [j175]Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Hyperbolic Graph Learning for Social Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8488-8501 (2024) - [j174]Shuaiyang Li, Feng Xue, Kang Liu, Dan Guo, Richang Hong:
Multimodal Graph Causal Embedding for Multimedia-Based Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8842-8858 (2024) - [j173]Jinguang Wang, Shengsheng Qian, Jun Hu, Richang Hong:
Positive Unlabeled Fake News Detection via Multi-Modal Masked Transformer Network. IEEE Trans. Multim. 26: 234-244 (2024) - [j172]Tao Chen, Yanrong Guo, Shijie Hao, Richang Hong:
Semi-Supervised Domain Adaptation for Major Depressive Disorder Detection. IEEE Trans. Multim. 26: 3567-3579 (2024) - [j171]Jinguang Wang, Shengsheng Qian, Jun Hu, Richang Hong:
Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection. IEEE Trans. Multim. 26: 5170-5180 (2024) - [j170]Hao Liu, Jingjing Wu, Feng Li, Jianguo Jiang, Richang Hong:
SYRER: Synergistic Relational Reasoning for RGB-D Cross-Modal Re-Identification. IEEE Trans. Multim. 26: 5600-5614 (2024) - [j169]Youze Wang, Wenbo Hu, Richang Hong:
Iterative Adversarial Attack on Image-Guided Story Ending Generation. IEEE Trans. Multim. 26: 6117-6130 (2024) - [j168]Junfeng Tu, Xueliang Liu, Yanbin Hao, Richang Hong, Meng Wang:
Two-Step Discrete Hashing for Cross-Modal Retrieval. IEEE Trans. Multim. 26: 8730-8741 (2024) - [j167]Zijie Song, Zhenzhen Hu, Yuanen Zhou, Ye Zhao, Richang Hong, Meng Wang:
Embedded Heterogeneous Attention Transformer for Cross-Lingual Image Captioning. IEEE Trans. Multim. 26: 9008-9020 (2024) - [j166]Yuling Su, Xueliang Liu, Ye Zhao, Richang Hong, Meng Wang:
Partial-Tuning Based Mixed-Modal Prototypes for Few-Shot Classification. IEEE Trans. Multim. 26: 9175-9186 (2024) - [j165]Lixiang Xu, Qingzhe Cui, Richang Hong, Wei Xu, Enhong Chen, Xin Yuan, Chenglong Li, Yuanyan Tang:
Group Multi-View Transformer for 3D Shape Analysis With Spatial Encoding. IEEE Trans. Multim. 26: 9450-9463 (2024) - [j164]Xianyun Wang, Linhong Wang, Zhenchen Yang, Jiacong Zhou, Yuchen Zheng, Feng Chen, Richang Hong, Jun Yu, Fan Yang:
DSIS-DPR:Structured Instance Segmentation and Diffusion Prior Refinement for Dental Anatomy Learning. IEEE Trans. Multim. 26: 9464-9476 (2024) - [j163]Guiying Li, Peng Yang, Chao Qian, Richang Hong, Ke Tang:
Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1666-1680 (2024) - [j162]Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang:
Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Trans. Inf. Syst. 42(5): 140:1-140:26 (2024) - [j161]Hengtong Hu, Lingxi Xie, Xinyue Huo, Richang Hong, Qi Tian:
One-Bit Supervision for Image Classification: Problem, Solution, and Beyond. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 113:1-113:22 (2024) - [j160]Jingjing Wu, Xi Zhou, Xiaohong Li, Hao Liu, Meibin Qi, Richang Hong:
Asymmetric Deformable Spatio-temporal Framework for Infrared Object Tracking. ACM Trans. Multim. Comput. Commun. Appl. 20(10): 322:1-322:24 (2024) - [c157]Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, Yu-Gang Jiang:
Doubly Abductive Counterfactual Inference for Text-Based Image Editing. CVPR 2024: 9162-9171 - [c156]Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun:
Few-Shot Learner Parameterization by Diffusion Time-Steps. CVPR 2024: 23263-23272 - [c155]Fan Zhang, Wei Qin, Weijieying Ren, Lei Wang, Zetong Chen, Richang Hong:
Gradient-Aware Logit Adjustment Loss for Long-Tailed Classifier. ICASSP 2024: 3190-3194 - [c154]Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang:
Double Correction Framework for Denoising Recommendation. KDD 2024: 1062-1072 - [c153]Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang:
Graph Bottlenecked Social Recommendation. KDD 2024: 3853-3862 - [c152]Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang:
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. KDD 2024: 4143-4154 - [c151]Huixia Ben, Shuo Wang, Meng Wang, Richang Hong:
Pseudo Content Hallucination for Unpaired Image Captioning. ICMR 2024: 320-329 - [c150]Jiehui Tang, Xiaofei Wang, Zhen Xiao, Jiayi Liu, Xueliang Liu, Richang Hong:
Exploring Robust Face-Voice Matching in Multilingual Environments. ACM Multimedia 2024: 11335-11341 - [c149]Jia Li, Yangchen Yu, Yin Chen, Yu Zhang, Peng Jia, Yunbo Xu, Ziqiang Li, Meng Wang, Richang Hong:
DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation. ACM Multimedia 2024: 11397-11403 - [c148]Yuan Zhou, Xin Chen, Yanrong Guo, Jun Yu, Richang Hong, Qi Tian:
Advancing Incremental Few-Shot Semantic Segmentation via Semantic-Guided Relation Alignment and Adaptation. MMM (1) 2024: 244-257 - [c147]Chaofei Bu, Xueliang Liu, Zhen Huang, Yuling Su, Junfeng Tu, Richang Hong:
Fine-grained Feature Assisted Cross-modal Image-text Retrieval. PRCV (11) 2024: 306-320 - [c146]Yongle Li, Zheng Zhang, Junqi Zhang, Wenbo Hu, Yongyu Wu, Richang Hong:
AtomTool: Empowering Large Language Models with Tool Utilization Skills. PRCV (1) 2024: 323-337 - [c145]Tong Zheng, Yanrong Guo, Richang Hong:
Cascade Large Language Model via In-Context Learning for Depression Detection on Chinese Social Media. PRCV (1) 2024: 353-366 - [c144]Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang:
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. SIGIR 2024: 677-686 - [i87]Pengcheng Zhao, Yanxiang Chen, Yang Zhao, Wei Jia, Zhao Zhang, Ronggang Wang, Richang Hong:
Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics. CoRR abs/2401.13270 (2024) - [i86]Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun:
Few-shot Learner Parameterization by Diffusion Time-steps. CoRR abs/2403.02649 (2024) - [i85]Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, Yu-Gang Jiang:
Doubly Abductive Counterfactual Inference for Text-based Image Editing. CoRR abs/2403.02981 (2024) - [i84]Fan Zhang, Wei Qin, Weijieying Ren, Lei Wang, Zetong Chen, Richang Hong:
Gradient-Aware Logit Adjustment Loss for Long-tailed Classifier. CoRR abs/2403.09036 (2024) - [i83]Yuan Zhou, Richang Hong, Yanrong Guo, Lin Liu, Shijie Hao, Hanwang Zhang:
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning. CoRR abs/2403.11070 (2024) - [i82]Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang:
Double Correction Framework for Denoising Recommendation. CoRR abs/2405.11272 (2024) - [i81]Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang:
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. CoRR abs/2405.15783 (2024) - [i80]Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang:
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. CoRR abs/2406.03064 (2024) - [i79]Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang:
Graph Bottlenecked Social Recommendation. CoRR abs/2406.08214 (2024) - [i78]Jiehui Tang, Xiaofei Wang, Zhen Xiao, Jiayi Liu, Xueliang Liu, Richang Hong:
Exploring Robust Face-Voice Matching in Multilingual Environments. CoRR abs/2407.19875 (2024) - [i77]Yuqi Chu, Lizi Liao, Zhiyuan Zhou, Chong-Wah Ngo, Richang Hong:
Towards Multimodal Emotional Support Conversation Systems. CoRR abs/2408.03650 (2024) - [i76]Linlin Hu, Ao Sun, Shijie Hao, Richang Hong, Meng Wang:
SDI-Net: Toward Sufficient Dual-View Interaction for Low-light Stereo Image Enhancement. CoRR abs/2408.10934 (2024) - [i75]Xuesong Zhang, Jia Li, Yunbo Xu, Zhenzhen Hu, Richang Hong:
Seeing is Believing? Enhancing Vision-Language Navigation using Visual Perturbations. CoRR abs/2409.05552 (2024) - [i74]Yin Chen, Jia Li, Yu Zhang, Zhenzhen Hu, Shiguang Shan, Meng Wang, Richang Hong:
UniLearn: Enhancing Dynamic Facial Expression Recognition through Unified Pre-Training and Fine-Tuning on Images and Videos. CoRR abs/2409.06154 (2024) - [i73]Zhiyuan Zhou, Jilong Liu, Sanwang Wang, Shijie Hao, Yanrong Guo, Richang Hong:
InterMind: A Doctor-Patient-Family Interactive Depression Assessment System Empowered by Large Language Models. CoRR abs/2409.14878 (2024) - [i72]Kaihang Pan, Zhaoyu Fan, Juncheng Li, Qifan Yu, Hao Fei, Siliang Tang, Richang Hong, Hanwang Zhang, Qianru Sun:
Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration. CoRR abs/2409.19872 (2024) - [i71]Jian Xiao, Zhenzhen Hu, Jia Li, Richang Hong:
Decomposing Relationship from 1-to-N into N 1-to-1 for Text-Video Retrieval. CoRR abs/2410.06618 (2024) - [i70]Jia Li, Yangchen Yu, Yin Chen, Yu Zhang, Peng Jia, Yunbo Xu, Ziqiang Li, Meng Wang, Richang Hong:
DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation. CoRR abs/2410.08470 (2024) - 2023
- [j159]Zijie Song, Zhenzhen Hu, Richang Hong:
Efficient and self-adaptive rationale knowledge base for visual commonsense reasoning. Multim. Syst. 29(5): 3017-3026 (2023) - [j158]Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Jiebo Luo:
Few-Shot Partial Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11824-11841 (2023) - [j157]Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13265-13280 (2023) - [j156]Kang Liu, Feng Xue, Xiangnan He, Dan Guo, Richang Hong:
Joint Multi-Grained Popularity-Aware Graph Convolution Collaborative Filtering for Recommendation. IEEE Trans. Comput. Soc. Syst. 10(1): 72-83 (2023) - [j155]Zhiyuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong:
Hierarchical Multifeature Fusion via Audio-Response-Level Modeling for Depression Detection. IEEE Trans. Comput. Soc. Syst. 10(5): 2797-2805 (2023) - [j154]Yanrong Guo, Chenyang Zhu, Shijie Hao, Richang Hong:
Automatic Depression Detection via Learning and Fusing Features From Visual Cues. IEEE Trans. Comput. Soc. Syst. 10(5): 2806-2813 (2023) - [j153]Feng Xue, Yu Li, Deyin Liu, Yincen Xie, Lin Wu, Richang Hong:
LipFormer: Learning to Lipread Unseen Speakers Based on Visual-Landmark Transformers. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4507-4517 (2023) - [j152]Jie Li, Huiyu Wang, Zhi Liu, Pengyuan Zhou, Xianfu Chen, Qiyue Li, Richang Hong:
Toward Optimal Real-Time Volumetric Video Streaming: A Rolling Optimization and Deep Reinforcement Learning Based Approach. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7870-7883 (2023) - [j151]Tao Chen, Richang Hong, Yanrong Guo, Shijie Hao, Bin Hu:
MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection. IEEE Trans. Cybern. 53(12): 7749-7759 (2023) - [j150]Gongqing Wu, Xingrui Zhuo, Xianyu Bao, Xuegang Hu, Richang Hong, Xindong Wu:
Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding. ACM Trans. Knowl. Discov. Data 17(5): 65:1-65:26 (2023) - [j149]Gongqing Wu, Xingrui Zhuo, Liangzhu Zhou, Xianyu Bao, Richang Hong, Xindong Wu:
TIRA: Truth Inference via Reliability Aggregation on Object-Source Graph. IEEE Trans. Knowl. Data Eng. 35(11): 11967-11981 (2023) - [j148]Wei Qin, Hanwang Zhang, Richang Hong, Ee-Peng Lim, Qianru Sun:
Causal Interventional Training for Image Recognition. IEEE Trans. Multim. 25: 1033-1044 (2023) - [j147]Jie Li, Cong Zhang, Zhi Liu, Richang Hong, Han Hu:
Optimal Volumetric Video Streaming With Hybrid Saliency Based Tiling. IEEE Trans. Multim. 25: 2939-2953 (2023) - [j146]Depeng Wang, Zhenzhen Hu, Yuanen Zhou, Richang Hong, Meng Wang:
A Text-Guided Generation and Refinement Model for Image Captioning. IEEE Trans. Multim. 25: 2966-2977 (2023) - [j145]Zhao Xie, Jiansong Chen, Kewei Wu, Dan Guo, Richang Hong:
Global Temporal Difference Network for Action Recognition. IEEE Trans. Multim. 25: 7594-7606 (2023) - [j144]Zhenhua Tang, Jia Li, Yanbin Hao, Richang Hong:
MLP-JCG: Multi-Layer Perceptron With Joint-Coordinate Gating for Efficient 3D Human Pose Estimation. IEEE Trans. Multim. 25: 8712-8724 (2023) - [j143]Kang Liu, Feng Xue, Dan Guo, Peijie Sun, Shengsheng Qian, Richang Hong:
Multimodal Graph Contrastive Learning for Multimedia-Based Recommendation. IEEE Trans. Multim. 25: 9343-9355 (2023) - [j142]Fei Liu, Jing Liu, Richang Hong, Hanqing Lu:
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1367-1379 (2023) - [j141]Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong:
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. ACM Trans. Inf. Syst. 41(2): 30:1-30:27 (2023) - [j140]Deyin Liu, Lin Wu, Richang Hong, Zongyuan Ge, Jialie Shen, Farid Boussaïd, Mohammed Bennamoun:
Generative Metric Learning for Adversarially Robust Open-world Person Re-Identification. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 20:1-20:19 (2023) - [j139]Feng Xue, Tian Yang, Kang Liu, Zikun Hong, Mingwei Cao, Dan Guo, Richang Hong:
LCSNet: End-to-end Lipreading with Channel-aware Feature Selection. ACM Trans. Multim. Comput. Commun. Appl. 19(1s): 28:1-28:21 (2023) - [c143]Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang:
Fair Representation Learning for Recommendation: A Mutual Information Perspective. AAAI 2023: 4911-4919 - [c142]Biao Qian, Yang Wang, Richang Hong, Meng Wang:
Rethinking Data-Free Quantization as a Zero-Sum Game. AAAI 2023: 9489-9497 - [c141]Zhenhua Tang, Zhaofan Qiu, Yanbin Hao, Richang Hong, Ting Yao:
3D Human Pose Estimation with Spatio-Temporal Criss-Cross Attention. CVPR 2023: 4790-4799 - [c140]Jia Li, Yin Chen, Xuesong Zhang, Jiantao Nie, Ziqiang Li, Yangchen Yu, Yan Zhang, Richang Hong, Meng Wang:
Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers. CVPR Workshops 2023: 5838-5844 - [c139]Biao Qian, Yang Wang, Richang Hong, Meng Wang:
Adaptive Data-Free Quantization. CVPR 2023: 7960-7968 - [c138]Kang Miao, Zhao Zhang, Jiahuan Ren, Mingbo Zhao, Haijun Zhang, Richang Hong:
Adaptive Student Inference Network for Efficient Single Image Super-Resolution. ICDM 2023: 488-497 - [c137]Zijie Song, Wenbo Hu, Hao Ye, Richang Hong:
How to Use Language Expert to Assist Inference for Visual Commonsense Reasoning. ICDM (Workshops) 2023: 521-527 - [c136]Yueyuan Xu, Zhenzhen Hu, Yuanen Zhou, Shijie Hao, Richang Hong:
CITE: Compact Interactive TransformEr for Multilingual Image Captioning. ICIGP 2023: 175-181 - [c135]Zhenzhen Hu, Zhenshan Wang, Zijie Song, Richang Hong:
Dual Video Summarization: From Frames to Captions. IJCAI 2023: 846-854 - [c134]Zijie Song, Zhenzhen Hu, Richang Hong:
Grid Feature Jigsaw for Self-supervised Image Clustering. IJCNN 2023: 1-7 - [c133]Liu Liu, Jianming Du, Hao Wu, Xun Yang, Zhenguang Liu, Richang Hong, Meng Wang:
Category-Level Articulated Object 9D Pose Estimation via Reinforcement Learning. ACM Multimedia 2023: 728-736 - [c132]Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang:
GoRec: A Generative Cold-start Recommendation Framework. ACM Multimedia 2023: 1004-1012 - [c131]Huan Zheng, Zhao Zhang, Jicong Fan, Richang Hong, Yi Yang, Shuicheng Yan:
Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in the Dark. ACM Multimedia 2023: 1475-1484 - [c130]Bo Wang, Zhao Zhang, Suiyi Zhao, Haijun Zhang, Richang Hong, Meng Wang:
CropCap: Embedding Visual Cross-Partition Dependency for Image Captioning. ACM Multimedia 2023: 1750-1758 - [c129]Wan Jiang, Yunfeng Diao, He Wang, Jianxin Sun, Meng Wang, Richang Hong:
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples. ACM Multimedia 2023: 8910-8921 - [c128]Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang:
Disentangling Cognitive Diagnosis with Limited Exercise Labels. NeurIPS 2023 - [c127]Linlin Hu, Shijie Hao, Yanrong Guo, Richang Hong, Meng Wang:
Low-Light Image Enhancement Based on Mutual Guidance Between Enhancing Strength and Image Appearance. PRCV (11) 2023: 211-223 - [c126]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative-Contrastive Graph Learning for Recommendation. SIGIR 2023: 1117-1126 - [c125]Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang:
Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. SIGIR 2023: 1188-1197 - [c124]Shuaiyang Li, Dan Guo, Kang Liu, Richang Hong, Feng Xue:
Multimodal Counterfactual Learning Network for Multimedia-based Recommendation. SIGIR 2023: 1539-1548 - [c123]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. WWW 2023: 1012-1020 - [i69]Feng Xue, Yu Li, Deyin Liu, Yincen Xie, Lin Wu, Richang Hong:
LipFormer: Learning to Lipread Unseen Speakers based on Visual-Landmark Transformers. CoRR abs/2302.02141 (2023) - [i68]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. CoRR abs/2302.06333 (2023) - [i67]Biao Qian, Yang Wang, Richang Hong, Meng Wang:
Rethinking Data-Free Quantization as a Zero-Sum Game. CoRR abs/2302.09572 (2023) - [i66]Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. CoRR abs/2302.13668 (2023) - [i65]Biao Qian, Yang Wang, Richang Hong, Meng Wang:
Adaptive Data-Free Quantization. CoRR abs/2303.06869 (2023) - [i64]