Shijie Geng

According to our database, Shijie Geng authored at least 48 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CLIP-Adapter: Better Vision-Language Models with Feature Adapters.

Peng Gao, Shijie Geng, Renrui Zhang, Teli Ma, Rongyao Fang, Yongfeng Zhang, Hongsheng Li, Yu Qiao

Int. J. Comput. Vis., February, 2024

Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

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

CoRR, 2024

InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models.

Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang

CoRR, 2024

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.

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

CoRR, 2024

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, Yu Qiao

CoRR, 2023

Mono-STAR: Mono-Camera Scene-Level Tracking and Reconstruction.

Haonan Chang, Dhruv Metha Ramesh, Shijie Geng, Yuqiu Gan, Abdeslam Boularias

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention.

Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

VIP5: Towards Multimodal Foundation Models for Recommendation.

Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens.

Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs.

Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias

Proceedings of the Conference on Robot Learning, 2023

2022

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning.

Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Path Language Modeling over Knowledge Graphsfor Explainable Recommendation.

Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Explainable Fairness in Recommendation.

Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5).

Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning.

Ankit P. Shah, Shijie Geng, Peng Gao, Anoop Cherian, Takaaki Hori, Tim K. Marks, Jonathan Le Roux, Chiori Hori

Proceedings of the IEEE International Conference on Acoustics, 2022

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality.

Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf

Proceedings of the Computer Vision - ECCV 2022, 2022

Frozen CLIP Models are Efficient Video Learners.

Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2022, 2022

Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning.

Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2022, 2022

Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition.

Teli Ma, Shijie Geng, Mengmeng Wang, Sheng Xu, Hongsheng Li, Baochang Zhang, Peng Gao, Yu Qiao

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Improving Personalized Explanation Generation through Visualization.

Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

COMPOSER: Compositional Learning of Group Activity in Videos.

Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf

CoRR, 2021

A Simple Long-Tailed Recognition Baseline via Vision-Language Model.

Teli Ma, Shijie Geng, Mengmeng Wang, Jing Shao, Jiasen Lu, Hongsheng Li, Peng Gao, Yu Qiao

CoRR, 2021

Counterfactual Evaluation for Explainable AI.

Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang

CoRR, 2021

Scalable Transformers for Neural Machine Translation.

Peng Gao, Shijie Geng, Yu Qiao, Xiaogang Wang, Jifeng Dai, Hongsheng Li

CoRR, 2021

RomeBERT: Robust Training of Multi-Exit BERT.

Shijie Geng, Peng Gao, Zuohui Fu, Yongfeng Zhang

CoRR, 2021

Dense Contrastive Visual-Linguistic Pretraining.

Lei Shi, Kai Shuang, Shijie Geng, Peng Gao, Zuohui Fu, Gerard de Melo, Yunpeng Chen, Sen Su

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems.

Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers.

Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li, Anoop Cherian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multi-Pass Transformer for Machine Translation.

Peng Gao, Chiori Hori, Shijie Geng, Takaaki Hori, Jonathan Le Roux

CoRR, 2020

Contrastive Visual-Linguistic Pretraining.

Lei Shi, Kai Shuang, Shijie Geng, Peng Su, Zhengkai Jiang, Peng Gao, Zuohui Fu, Gerard de Melo, Sen Su

CoRR, 2020

Spatio-Temporal Scene Graphs for Video Dialog.

Shijie Geng, Peng Gao, Chiori Hori, Jonathan Le Roux, Anoop Cherian

CoRR, 2020

Character Matters: Video Story Understanding with Character-Aware Relations.

Shijie Geng, Ji Zhang, Zuohui Fu, Peng Gao, Hang Zhang, Gerard de Melo

CoRR, 2020

Fairness-Aware Explainable Recommendation over Knowledge Graphs.

Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Combining CGAN and Mil for Hotspot Segmentation in Bone Scintigraphy.

Hang Xu, Shijie Geng, Yu Qiao, Kuan Xu, Yueyang Gu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Multi-Layer Content Interaction Through Quaternion Product for Visual Question Answering.

Lei Shi, Shijie Geng, Kai Shuang, Chiori Hori, Songxiang Liu, Peng Gao, Sen Su

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.

Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs.

Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

2nd Place Solution to the GQA Challenge 2019.

Shijie Geng, Ji Zhang, Hang Zhang, Ahmed Elgammal, Dimitris N. Metaxas

CoRR, 2019

Maximizing Marginal Utility per Dollar for Economic Recommendation.

Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang

Proceedings of the World Wide Web Conference, 2019

2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization.

Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2018, 2018

CU-Net: Coupled U-Nets.

Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Image Segmentation with Pyramid Dilated Convolution Based on ResNet and U-Net.

Qiao Zhang, Zhipeng Cui, Xiaoguang Niu, Shijie Geng, Yu Qiao

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Robust Visual Tracking via Occlusion Detection Based on Depth-Layer Information.

Xiaoguang Niu, Zhipeng Cui, Shijie Geng, Jie Yang, Yu Qiao

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Semantic segmentation with multi-path refinement and pyramid pooling dilated-resnet.

Zhipeng Cui, Qiao Zhang, Shijie Geng, Xiaoguang Niu, Jie Yang, Yu Qiao

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

A MIL-based interactive approach for hotspot segmentation from bone scintigraphy.

Shijie Geng, Jingyang Ma, Xiaoguang Niu, Shaoyong Jia, Yu Qiao, Jie Yang

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Combining CNN and MIL to Assist Hotspot Segmentation in Bone Scintigraphy.

Shijie Geng, Shaoyong Jia, Yu Qiao, Jie Yang, Zhenhong Jia

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

NSLIC: SLIC superpixels based on nonstationarity measure.

Shaoyong Jia, Shijie Geng, Yun Gu, Jie Yang, Pengfei Shi, Yu Qiao

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015