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2020 – today
- 2024
[j1]Peng Gao, Shijie Geng, Renrui Zhang, Teli Ma, Rongyao Fang, Yongfeng Zhang, Hongsheng Li
, Yu Qiao:
CLIP-Adapter: Better Vision-Language Models with Feature Adapters. Int. J. Comput. Vis. 132(2): 581-595 (2024)- [c33]Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao:
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. ICML 2024 - [i33]Peng Gao, Renrui Zhang, Chris Liu, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Hongsheng Li, Yu Qiao:
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. CoRR abs/2402.05935 (2024) - [i32]Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang:
InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models. CoRR abs/2404.07940 (2024) - [i31]Peng Gao, Le Zhuo, Dongyang Liu, Ruoyi Du, Xu Luo, Longtian Qiu, Yuhang Zhang, Chen Lin, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xi, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, He Tong, Jingwen He, Yu Qiao, Hongsheng Li:
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers. CoRR abs/2405.05945 (2024) - 2023
- [c32]Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias:
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs. CoRL 2023: 1950-1974 - [c31]Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang:
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CVPR 2023: 15095-15104 - [c30]Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang:
VIP5: Towards Multimodal Foundation Models for Recommendation. EMNLP (Findings) 2023: 9606-9620 - [c29]Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang:
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention. ICLR 2023 - [c28]Haonan Chang, Dhruv Metha Ramesh, Shijie Geng, Yuqiu Gan, Abdeslam Boularias:
Mono-STAR: Mono-Camera Scene-Level Tracking and Reconstruction. ICRA 2023: 820-826 - [i30]Haonan Chang, Dhruv Metha Ramesh, Shijie Geng, Yuqiu Gan, Abdeslam Boularias:
Mono-STAR: Mono-camera Scene-level Tracking and Reconstruction. CoRR abs/2301.13244 (2023) - [i29]Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang:
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention. CoRR abs/2303.02995 (2023) - [i28]Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang:
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CoRR abs/2303.14865 (2023) - [i27]Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, Yu Qiao:
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model. CoRR abs/2304.15010 (2023) - [i26]Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang:
VIP5: Towards Multimodal Foundation Models for Recommendation. CoRR abs/2305.14302 (2023) - [i25]Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias:
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs. CoRR abs/2309.15940 (2023) - 2022
- [c27]Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang:
Improving Personalized Explanation Generation through Visualization. ACL (1) 2022: 244-255 - [c26]Teli Ma, Shijie Geng, Mengmeng Wang, Sheng Xu, Hongsheng Li, Baochang Zhang, Peng Gao, Yu Qiao:
Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition. BMVC 2022: 481 - [c25]Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas:
Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning. ECCV (26) 2022: 185-202 - [c24]Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf:
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality. ECCV (35) 2022: 249-266 - [c23]Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li:
Frozen CLIP Models are Efficient Video Learners. ECCV (35) 2022: 388-404 - [c22]Ankit P. Shah, Shijie Geng, Peng Gao, Anoop Cherian, Takaaki Hori, Tim K. Marks, Jonathan Le Roux, Chiori Hori:
Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning. ICASSP 2022: 7732-7736 - [c21]Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang:
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). RecSys 2022: 299-315 - [c20]Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang:
Explainable Fairness in Recommendation. SIGIR 2022: 681-691 - [c19]Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang:
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. WWW 2022: 946-955 - [c18]Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang:
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. WWW 2022: 1018-1027 - [i24]Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang:
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. CoRR abs/2202.08816 (2022) - [i23]Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang:
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). CoRR abs/2203.13366 (2022) - [i22]Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang:
Explainable Fairness in Recommendation. CoRR abs/2204.11159 (2022) - [i21]Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas:
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning. CoRR abs/2207.09644 (2022) - [i20]Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li:
Frozen CLIP Models are Efficient Video Learners. CoRR abs/2208.03550 (2022) - 2021
- [c17]Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li, Anoop Cherian:
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers. AAAI 2021: 1415-1423 - [c16]Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang:
Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. CIKM 2021: 494-503 - [c15]Lei Shi, Kai Shuang, Shijie Geng, Peng Gao, Zuohui Fu, Gerard de Melo, Yunpeng Chen, Sen Su:
Dense Contrastive Visual-Linguistic Pretraining. ACM Multimedia 2021: 5203-5212 - [i19]Shijie Geng, Peng Gao, Zuohui Fu, Yongfeng Zhang:
RomeBERT: Robust Training of Multi-Exit BERT. CoRR abs/2101.09755 (2021) - [i18]Peng Gao, Shijie Geng, Yu Qiao, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Scalable Transformers for Neural Machine Translation. CoRR abs/2106.02242 (2021) - [i17]Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang:
Counterfactual Evaluation for Explainable AI. CoRR abs/2109.01962 (2021) - [i16]Lei Shi, Kai Shuang, Shijie Geng, Peng Gao, Zuohui Fu, Gerard de Melo, Yunpeng Chen, Sen Su:
Dense Contrastive Visual-Linguistic Pretraining. CoRR abs/2109.11778 (2021) - [i15]Peng Gao, Shijie Geng, Renrui Zhang, Teli Ma, Rongyao Fang, Yongfeng Zhang, Hongsheng Li, Yu Qiao:
CLIP-Adapter: Better Vision-Language Models with Feature Adapters. CoRR abs/2110.04544 (2021) - [i14]Ankit P. Shah, Shijie Geng, Peng Gao, Anoop Cherian, Takaaki Hori, Tim K. Marks, Jonathan Le Roux, Chiori Hori:
Audio-Visual Scene-Aware Dialog and Reasoning using Audio-Visual Transformers with Joint Student-Teacher Learning. CoRR abs/2110.06894 (2021) - [i13]Teli Ma, Shijie Geng, Mengmeng Wang, Jing Shao, Jiasen Lu, Hongsheng Li, Peng Gao, Yu Qiao:
A Simple Long-Tailed Recognition Baseline via Vision-Language Model. CoRR abs/2111.14745 (2021) - [i12]Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf:
COMPOSER: Compositional Learning of Group Activity in Videos. CoRR abs/2112.05892 (2021) - 2020
- [c14]Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo:
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. AAAI 2020: 7756-7763 - [c13]Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang:
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CIKM 2020: 1645-1654 - [c12]Hang Xu, Shijie Geng, Yu Qiao, Kuan Xu, Yueyang Gu:
Combining CGAN and Mil for Hotspot Segmentation in Bone Scintigraphy. ICASSP 2020: 1404-1408 - [c11]Lei Shi, Shijie Geng, Kai Shuang, Chiori Hori, Songxiang Liu, Peng Gao, Sen Su:
Multi-Layer Content Interaction Through Quaternion Product for Visual Question Answering. ICASSP 2020: 4412-4416 - [c10]Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo:
Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR 2020: 69-78 - [i11]Lei Shi, Shijie Geng, Kai Shuang, Chiori Hori, Songxiang Liu, Peng Gao, Sen Su:
Multi-Layer Content Interaction Through Quaternion Product For Visual Question Answering. CoRR abs/2001.05840 (2020) - [i10]Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo:
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. CoRR abs/2001.11121 (2020) - [i9]Shijie Geng, Ji Zhang, Zuohui Fu, Peng Gao, Hang Zhang, Gerard de Melo:
Character Matters: Video Story Understanding with Character-Aware Relations. CoRR abs/2005.08646 (2020) - [i8]Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo:
Fairness-Aware Explainable Recommendation over Knowledge Graphs. CoRR abs/2006.02046 (2020) - [i7]Shijie Geng, Peng Gao, Chiori Hori, Jonathan Le Roux, Anoop Cherian:
Spatio-Temporal Scene Graphs for Video Dialog. CoRR abs/2007.03848 (2020) - [i6]Lei Shi, Kai Shuang, Shijie Geng, Peng Su, Zhengkai Jiang, Peng Gao, Zuohui Fu, Gerard de Melo, Sen Su:
Contrastive Visual-Linguistic Pretraining. CoRR abs/2007.13135 (2020) - [i5]Peng Gao, Chiori Hori, Shijie Geng, Takaaki Hori, Jonathan Le Roux:
Multi-Pass Transformer for Machine Translation. CoRR abs/2009.11382 (2020) - [i4]Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang:
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CoRR abs/2010.15620 (2020)
2010 – 2019
- 2019
- [c9]Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang:
Maximizing Marginal Utility per Dollar for Economic Recommendation. WWW 2019: 2757-2763 - [i3]Shijie Geng, Ji Zhang, Hang Zhang, Ahmed Elgammal, Dimitris N. Metaxas:
2nd Place Solution to the GQA Challenge 2019. CoRR abs/1907.06794 (2019) - 2018
- [c8]Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas:
CU-Net: Coupled U-Nets. BMVC 2018: 305 - [c7]Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas:
Quantized Densely Connected U-Nets for Efficient Landmark Localization. ECCV (3) 2018: 348-364 - [i2]Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas:
Quantized Densely Connected U-Nets for Efficient Landmark Localization. CoRR abs/1808.02194 (2018) - [i1]Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas:
CU-Net: Coupled U-Nets. CoRR abs/1808.06521 (2018) - 2017
- [c6]Zhipeng Cui, Qiao Zhang, Shijie Geng, Xiaoguang Niu, Jie Yang, Yu Qiao:
Semantic segmentation with multi-path refinement and pyramid pooling dilated-resnet. ICIP 2017: 3100-3104 - [c5]Xiaoguang Niu, Zhipeng Cui, Shijie Geng, Jie Yang, Yu Qiao:
Robust Visual Tracking via Occlusion Detection Based on Depth-Layer Information. ICONIP (3) 2017: 44-53 - [c4]Qiao Zhang, Zhipeng Cui, Xiaoguang Niu, Shijie Geng, Yu Qiao:
Image Segmentation with Pyramid Dilated Convolution Based on ResNet and U-Net. ICONIP (2) 2017: 364-372 - 2016
- [c3]Shijie Geng, Jingyang Ma, Xiaoguang Niu, Shaoyong Jia, Yu Qiao, Jie Yang:
A MIL-based interactive approach for hotspot segmentation from bone scintigraphy. ICASSP 2016: 942-946 - 2015
- [c2]Shaoyong Jia, Shijie Geng, Yun Gu, Jie Yang, Pengfei Shi, Yu Qiao:
NSLIC: SLIC superpixels based on nonstationarity measure. ICIP 2015: 4738-4742 - [c1]Shijie Geng, Shaoyong Jia, Yu Qiao, Jie Yang, Zhenhong Jia:
Combining CNN and MIL to Assist Hotspot Segmentation in Bone Scintigraphy. ICONIP (4) 2015: 445-452
Coauthor Index
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