Hanwang Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
133
Venues
17
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
133 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DEPO: Dual-Efficiency Preference Optimization for LLM Agents. | Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu |
| 2026 | AAAI | Object Fusion via Diffusion Time-step for Customized Image Editing with Single Example. | Xue Song, Zhongqi Yue, Jiequan Cui, Hanwang Zhang, Jingjing Chen |
| 2026 | AAAI | Personalize Your Gaussian: Consistent 3D Scene Personalization from a Single Image. | Yuxuan Wang, Xuanyu Yi, Qingshan Xu, Yuan Zhou, Long Chen, Hanwang Zhang |
| 2026 | AAAI | Pushing Rendering Boundaries: Hard Gaussian Splatting. | Qingshan Xu, Jiequan Cui, Xuanyu Yi, Yuxuan Wang, Yuan Zhou, Yew-Soon Ong, Hanwang Zhang |
| 2026 | AAAI | NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos. | Qingshan Xu, Jiao Liu, Shangshu Yu, Yuxuan Wang, Yuan Zhou, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang |
| 2026 | AAAI | DragNeXt: Rethinking Drag-Based Image Editing. | Yuan Zhou, Junbao Zhou, Qingshan Xu, Kesen Zhao, Yuxuan Wang, Hao Fei, Richang Hong, Hanwang Zhang |
| 2026 | AAAI | Hierarchical Semantic Alignment for Image Clustering. | Xingyu Zhu, Beier Zhu, Yunfan Li, Junfeng Fang, Shuo Wang, Kesen Zhao, Hanwang Zhang |
| 2026 | WACV | Learning to Animate Images from A Few Videos to Portray Delicate Human Actions. | Haoxin Li, Yingchen Yu, Qilong Wu, Hanwang Zhang, Song Bai, Boyang Li |
| 2025 | AAAI | SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning. | Xu Zhang, Jin Yuan, Hanwang Zhang, Guojin Zhong, Yongsheng Zang, Jiacheng Lin, Zhiyong Li |
| 2025 | CVPR | Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens. | Kaihang Pan, Wang Lin, Zhongqi Yue, Tenglong Ao, Liyu Jia, Wei Zhao, Juncheng Li, Siliang Tang, Hanwang Zhang |
| 2025 | CVPR | A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. | Kai Wang, Mingjia Shi, Yukun Zhou, Zekai Li, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You |
| 2025 | CVPR | Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene. | Shengqiong Wu, Hao Fei, Jingkang Yang, Xiangtai Li, Juncheng Li, Hanwang Zhang, Tat-Seng Chua |
| 2025 | CVPR | AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea. | Qifan Yu, Wei Chow, Zhongqi Yue, Kaihang Pan, Yang Wu, Xiaoyang Wan, Juncheng Li, Siliang Tang, Hanwang Zhang, Yueting Zhuang |
| 2025 | CVPR | CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction. | Yuan Zhou, Qingshan Xu, Jiequan Cui, Junbao Zhou, Jing Zhang, Richang Hong, Hanwang Zhang |
| 2025 | CVPR | Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness. | Beier Zhu, Jiequan Cui, Hanwang Zhang, Chi Zhang |
| 2025 | ICCV | Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning. | Jingjing Jiang, Chao Ma, Xurui Song, Hanwang Zhang, Jun Luo |
| 2025 | ICCV | Nautilus: Locality-Aware Autoencoder for Scalable Mesh Generation. | Yuxuan Wang, Xuanyu Yi, Haohan Weng, Qingshan Xu, Xiaokang Wei, Xianghui Yang, Chunchao Guo, Long Chen, Hanwang Zhang |
| 2025 | ICCV | Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization. | Kesen Zhao, Beier Zhu, Qianru Sun, Hanwang Zhang |
| 2025 | ICCV | Dynamic Multimodal Prototype Learning in Vision-Language Models. | Xingyu Zhu, Shuo Wang, Beier Zhu, Miaoge Li, Yunfan Li, Junfeng Fang, Zhicai Wang, Dongsheng Wang, Hanwang Zhang |
| 2025 | ICCV | Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models. | Beier Zhu, Ruoyu Wang, Tong Zhao, Hanwang Zhang, Chi Zhang |
| 2025 | ICLR | Towards Semantic Equivalence of Tokenization in Multimodal LLM. | Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan |
| 2025 | ICML | On Path to Multimodal Generalist: General-Level and General-Bench. | Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang |
| 2025 | ICML | Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing. | Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao, Long Chen |
| 2025 | ICML | VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models. | Haojian Huang, Haodong Chen, Shengqiong Wu, Meng Luo, Jinlan Fu, Xinya Du, Hanwang Zhang, Hao Fei |
| 2025 | ICML | 3D Question Answering via only 2D Vision-Language Models. | Fengyun Wang, Sicheng Yu, Jiawei Wu, Jinhui Tang, Hanwang Zhang, Qianru Sun |
| 2025 | IJCNN | EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts. | Yucheng Han, Rui Wang, Chi Zhang, Juntao Hu, Pei Chen, Bin Fu, Hanwang Zhang |
| 2025 | IJCNN | A Multimodal LLM for Chart Understanding and Generation. | Yucheng Han, Chi Zhang, Xin Chen, Fukun Yin, Xu Yang, Zhibin Wang, Gang Yu, Bin Fu, Hanwang Zhang |
| 2024 | AAAI | MGNet: Learning Correspondences via Multiple Graphs. | Luanyuan Dai, Xiaoyu Du, Hanwang Zhang, Jinhui Tang |
| 2024 | AAAI | Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection. | Yucheng Han, Na Zhao, Weiling Chen, Keng Teck Ma, Hanwang Zhang |
| 2024 | CVPR | Dysen-VDM: Empowering Dynamics-Aware Text-to-Video Diffusion with LLMs. | Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua |
| 2024 | CVPR | Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. | Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang |
| 2024 | CVPR | Discriminative Probing and Tuning for Text-to-Image Generation. | Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua |
| 2024 | CVPR | Doubly Abductive Counterfactual Inference for Text-Based Image Editing. | Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, Yu-Gang Jiang |
| 2024 | CVPR | Disco: Disentangled Control for Realistic Human Dance Generation. | Tan Wang, Linjie Li, Kevin Lin, Yuanhao Zhai, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang |
| 2024 | CVPR | Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior. | Zike Wu, Pan Zhou, Xuanyu Yi, Xiaoding Yuan, Hanwang Zhang |
| 2024 | CVPR | Diffusion Time-step Curriculum for One Image to 3D Generation. | Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang |
| 2024 | CVPR | Few-Shot Learner Parameterization by Diffusion Time-Steps. | Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun |
| 2024 | CVPR | Distributionally Generative Augmentation for Fair Facial Attribute Classification. | Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang |
| 2024 | ECCV | Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation. | Wei Suo, Lanqing Lai, Mengyang Sun, Hanwang Zhang, Peng Wang, Yanning Zhang |
| 2024 | ECCV | Instruction Tuning-Free Visual Token Complement for Multimodal LLMs. | Dongsheng Wang, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen, Hanwang Zhang |
| 2024 | ECCV | View-Consistent 3D Editing with Gaussian Splatting. | Yuxuan Wang, Xuanyu Yi, Zike Wu, Na Zhao, Long Chen, Hanwang Zhang |
| 2024 | ECCV | Few-Shot NeRF by Adaptive Rendering Loss Regularization. | Qingshan Xu, Xuanyu Yi, Jianyao Xu, Wenbing Tao, Yew-Soon Ong, Hanwang Zhang |
| 2024 | ICLR | Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions. | Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang |
| 2024 | ICLR | Exploring Diffusion Time-steps for Unsupervised Representation Learning. | Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang |
| 2024 | ICML | Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition. | Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Meishan Zhang, Mong-Li Lee, Wynne Hsu |
| 2024 | ICML | Non-confusing Generation of Customized Concepts in Diffusion Models. | Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang |
| 2024 | ICML | Auto-Encoding Morph-Tokens for Multimodal LLM. | Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang |
| 2023 | AAAI | Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization. | Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang |
| 2023 | ACL | Counterfactual Active Learning for Out-of-Distribution Generalization. | Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao |
| 2023 | ACL | Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. | Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua |
| 2023 | BMVC | Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention. | Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo-Hwee Lim |
| 2023 | CVPR | Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection. | Hui Lv, Zhongqi Yue, Qianru Sun, Bin Luo, Zhen Cui, Hanwang Zhang |
| 2023 | CVPR | Semantic Scene Completion with Cleaner Self. | Fengyun Wang, Dong Zhang, Hanwang Zhang, Jinhui Tang, Qianru Sun |
| 2023 | CVPR | Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery. | Muli Yang, Liancheng Wang, Cheng Deng, Hanwang Zhang |
| 2023 | ICCV | Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground. | Haoxin Li, Yuan Liu, Hanwang Zhang, Boyang Li |
| 2023 | ICCV | Invariant Feature Regularization for Fair Face Recognition. | Jiali Ma, Zhongqi Yue, Tomoyuki Kagaya, Tomoki Suzuki, Jayashree Karlekar, Sugiri Pranata, Hanwang Zhang |
| 2023 | ICCV | Equivariant Similarity for Vision-Language Foundation Models. | Tan Wang, Kevin Lin, Linjie Li, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang |
| 2023 | ICCV | Random Boxes Are Open-world Object Detectors. | Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, Hanwang Zhang |
| 2023 | ICCV | Learning Trajectory-Word Alignments for Video-Language Tasks. | Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang |
| 2023 | ICCV | Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition. | Xuanyu Yi, Jiajun Deng, Qianru Sun, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang |
| 2023 | ICCV | Prompt-aligned Gradient for Prompt Tuning. | Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang |
| 2023 | ICIP | Semi-Supervised Few-Shot Segmentation with Noisy Support Images. | Runtong Zhang, Hongyuan Zhu, Hanwang Zhang, Chen Gong, Joey Tianyi Zhou, Fanman Meng |
| 2023 | ICLR | Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection. | Kaifeng Gao, Long Chen, Hanwang Zhang, Jun Xiao, Qianru Sun |
| 2022 | AAAI | Deconfounded Visual Grounding. | Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang |
| 2022 | AAAI | Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification. | Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang |
| 2022 | ACL | KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base. | Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, Hanwang Zhang |
| 2022 | ACL | Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. | Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua |
| 2022 | CVPR | Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation. | Zhaozheng Chen, Tan Wang, Xiongwei Wu, Xian-Sheng Hua, Hanwang Zhang, Qianru Sun |
| 2022 | ECCV | Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization. | Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang |
| 2022 | ECCV | Invariant Feature Learning for Generalized Long-Tailed Classification. | Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang |
| 2022 | ECCV | Equivariance and Invariance Inductive Bias for Learning from Insufficient Data. | Tan Wang, Qianru Sun, Sugiri Pranata, Jayashree Karlekar, Hanwang Zhang |
| 2022 | ECCV | Identifying Hard Noise in Long-Tailed Sample Distribution. | Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang |
| 2022 | ECCV | NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. | Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui |
| 2022 | ICLR | On Non-Random Missing Labels in Semi-Supervised Learning. | Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang |
| 2022 | ICML | Certified Robustness Against Natural Language Attacks by Causal Intervention. | Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang |
| 2021 | AAAI | Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding. | Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Shih-Fu Chang |
| 2021 | ACL | Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. | Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang |
| 2021 | ACL | Empowering Language Understanding with Counterfactual Reasoning. | Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua |
| 2021 | CVPR | Distilling Causal Effect of Data in Class-Incremental Learning. | Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang |
| 2021 | CVPR | The Blessings of Unlabeled Background in Untrimmed Videos. | Yuan Liu, Jingyuan Chen, Zhenfang Chen, Bing Deng, Jianqiang Huang, Hanwang Zhang |
| 2021 | CVPR | Counterfactual VQA: A Cause-Effect Look at Language Bias. | Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen |
| 2021 | CVPR | Causal Attention for Vision-Language Tasks. | Xu Yang, Hanwang Zhang, Guojun Qi, Jianfei Cai |
| 2021 | CVPR | Counterfactual Zero-Shot and Open-Set Visual Recognition. | Zhongqi Yue, Tan Wang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang |
| 2021 | EMNLP | TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph. | Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang |
| 2021 | ICCV | Causal Attention for Unbiased Visual Recognition. | Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang |
| 2021 | ICCV | Auto-Parsing Network for Image Captioning and Visual Question Answering. | Xu Yang, Chongyang Gao, Hanwang Zhang, Jianfei Cai |
| 2021 | ICCV | Transporting Causal Mechanisms for Unsupervised Domain Adaptation. | Zhongqi Yue, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang |
| 2021 | ICCV | Self-Regulation for Semantic Segmentation. | Dong Zhang, Hanwang Zhang, Jinhui Tang, Xian-Sheng Hua, Qianru Sun |
| 2021 | SIGIR | Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. | Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua |
| 2020 | AAAI | General Partial Label Learning via Dual Bipartite Graph Autoencoder. | Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang |
| 2020 | CVPR | Counterfactual Samples Synthesizing for Robust Visual Question Answering. | Long Chen, Xin Yan, Jun Xiao, Hanwang Zhang, Shiliang Pu, Yueting Zhuang |
| 2020 | CVPR | Iterative Context-Aware Graph Inference for Visual Dialog. | Dan Guo, Hui Wang, Hanwang Zhang, Zheng-Jun Zha, Meng Wang |
| 2020 | CVPR | Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration. | Yang He, Yuhang Ding, Ping Liu, Linchao Zhu, Hanwang Zhang, Yi Yang |
| 2020 | CVPR | Learning to Segment the Tail. | Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang |
| 2020 | CVPR | Two Causal Principles for Improving Visual Dialog. | Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang |
| 2020 | CVPR | Unbiased Scene Graph Generation From Biased Training. | Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang |
| 2020 | CVPR | Visual Commonsense Representation Learning via Causal Inference. | Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun |
| 2020 | CVPR | Visual Commonsense R-CNN. | Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun |
| 2020 | CVPR | More Grounded Image Captioning by Distilling Image-Text Matching Model. | Yuanen Zhou, Meng Wang, Daqing Liu, Zhenzhen Hu, Hanwang Zhang |
| 2020 | ECCV | Feature Pyramid Transformer. | Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, Qianru Sun |
| 2020 | WACV | Stochastic Dynamics for Video Infilling. | Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann |
| 2019 | AAAI | Learning to Embed Sentences Using Attentive Recursive Trees. | Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang |
| 2019 | AAAI | DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. | Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang |
| 2019 | CVPR | Recursive Visual Attention in Visual Dialog. | Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen |
| 2019 | CVPR | Explainable and Explicit Visual Reasoning Over Scene Graphs. | Jiaxin Shi, Hanwang Zhang, Juanzi Li |
| 2019 | CVPR | Learning to Compose Dynamic Tree Structures for Visual Contexts. | Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu |
| 2019 | CVPR | Auto-Encoding Scene Graphs for Image Captioning. | Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai |
| 2019 | ICCV | Counterfactual Critic Multi-Agent Training for Scene Graph Generation. | Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang |
| 2019 | ICCV | Learning to Assemble Neural Module Tree Networks for Visual Grounding. | Daqing Liu, Hanwang Zhang, Feng Wu, Zheng-Jun Zha |
| 2019 | ICCV | Learning to Collocate Neural Modules for Image Captioning. | Xu Yang, Hanwang Zhang, Jianfei Cai |
| 2019 | ICCV | Making History Matter: History-Advantage Sequence Training for Visual Dialog. | Tianhao Yang, Zheng-Jun Zha, Hanwang Zhang |
| 2018 | AAAI | Learning to Guide Decoding for Image Captioning. | Wenhao Jiang, Lin Ma, Xinpeng Chen, Hanwang Zhang, Wei Liu |
| 2018 | CVPR | Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks. | Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, Shih-Fu Chang |
| 2018 | CVPR | Grounding Referring Expressions in Images by Variational Context. | Hanwang Zhang, Yulei Niu, Shih-Fu Chang |
| 2018 | ECCV | Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features. | Xu Yang, Hanwang Zhang, Jianfei Cai |
| 2018 | IJCAI | Discrete Factorization Machines for Fast Feature-based Recommendation. | Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang |
| 2018 | IJCAI | Multi-Level Policy and Reward Reinforcement Learning for Image Captioning. | Anan Liu, Ning Xu, Hanwang Zhang, Weizhi Nie, Yuting Su, Yongdong Zhang |
| 2018 | MMM | Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. | Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua |
| 2017 | ADC | Deep Semantic Indexing Using Convolutional Localization Network with Region-Based Visual Attention for Image Database. | Mingxing Zhang, Yang Yang, Hanwang Zhang, Yanli Ji, Ning Xie, Heng Tao Shen |
| 2017 | CVPR | SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning. | Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua |
| 2017 | CVPR | Visual Translation Embedding Network for Visual Relation Detection. | Hanwang Zhang, Zawlin Kyaw, Shih-Fu Chang, Tat-Seng Chua |
| 2017 | ICCV | PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN. | Hanwang Zhang, Zawlin Kyaw, Jinyang Yu, Shih-Fu Chang |
| 2017 | IJCAI | Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks. | Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua |
| 2017 | WWW | Neural Collaborative Filtering. | Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua |
| 2017 | SIGIR | Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention. | Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, Tat-Seng Chua |
| 2016 | AAAI | Discrete Image Hashing Using Large Weakly Annotated Photo Collections. | Hanwang Zhang, Na Zhao, Xindi Shang, Huan-Bo Luan, Tat-Seng Chua |
| 2016 | CVPR | Online Collaborative Learning for Open-Vocabulary Visual Classifiers. | Hanwang Zhang, Xindi Shang, Wenzhuo Yang, Huan Xu, Huan-Bo Luan, Tat-Seng Chua |
| 2016 | MMM | Mental Visual Browsing. | Jun He, Xindi Shang, Hanwang Zhang, Tat-Seng Chua |
| 2016 | MMM | Deep Learning Generic Features for Cross-Media Retrieval. | Xindi Shang, Hanwang Zhang, Tat-Seng Chua |
| 2016 | SIGIR | Fast Matrix Factorization for Online Recommendation with Implicit Feedback. | Xiangnan He, Hanwang Zhang, Min-Yen Kan, Tat-Seng Chua |
| 2016 | SIGIR | Discrete Collaborative Filtering. | Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan, Tat-Seng Chua |
| 2015 | ICCV | Learning Image and User Features for Recommendation in Social Networks. | Xue Geng, Hanwang Zhang, Jingwen Bian, Tat-Seng Chua |
| 2012 | CVPR | Robust Non-negative Graph Embedding: Towards noisy data, unreliable graphs, and noisy labels. | Hanwang Zhang, Zheng-Jun Zha, Shuicheng Yan, Meng Wang, Tat-Seng Chua |