NSLIC: SLIC superpixels based on nonstationarity measure. - Shaoyong Jia; Shijie Geng; Yun Gu; Jie Yang 002; Pengfei Shi; Yu Qiao 003 (ICIP, 2015)

Combining CNN and MIL to Assist Hotspot Segmentation in Bone Scintigraphy. - Shijie Geng; Shaoyong Jia; Yu Qiao 003; Jie Yang 002; Zhenhong Jia (ICONIP (4), 2015)

A MIL-based interactive approach for hotspot segmentation from bone scintigraphy. - Shijie Geng; Jingyang Ma; Xiaoguang Niu; Shaoyong Jia; Yu Qiao 003; Jie Yang 002 (ICASSP, 2016)

Semantic segmentation with multi-path refinement and pyramid pooling dilated-resnet. - Zhipeng Cui; Qiao Zhang; Shijie Geng; Xiaoguang Niu; Jie Yang 002; Yu Qiao 003 (ICIP, 2017)

Robust Visual Tracking via Occlusion Detection Based on Depth-Layer Information. - Xiaoguang Niu; Zhipeng Cui; Shijie Geng; Jie Yang 002; Yu Qiao 003 (ICONIP (3), 2017)

Image Segmentation with Pyramid Dilated Convolution Based on ResNet and U-Net. - Qiao Zhang; Zhipeng Cui; Xiaoguang Niu; Shijie Geng; Yu Qiao 003 (ICONIP (2), 2017)

CU-Net: Coupled U-Nets. - Zhiqiang Tang 001; Xi Peng 005; Shijie Geng; Yizhe Zhu; Dimitris N. Metaxas (BMVC, 2018)

Quantized Densely Connected U-Nets for Efficient Landmark Localization. - Zhiqiang Tang 001; Xi Peng 005; Shijie Geng; Lingfei Wu 001; Shaoting Zhang 001; Dimitris N. Metaxas (ECCV (3), 2018)

Maximizing Marginal Utility per Dollar for Economic Recommendation. - Yingqiang Ge; Shuyuan Xu; Shuchang Liu 001; Shijie Geng; Zuohui Fu; Yongfeng Zhang 003 (WWW, 2019)

2nd Place Solution to the GQA Challenge 2019. - Shijie Geng; Ji Zhang; Hang Zhang; Ahmed Elgammal; Dimitris N. Metaxas (CoRR, 2019)

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. - Zuohui Fu; Yikun Xian; Shijie Geng; Yingqiang Ge; Yuting Wang; Xin Dong 010; Guang Wang 001; Gerard de Melo (AAAI, 2020)

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. - Yikun Xian; Zuohui Fu; Handong Zhao; Yingqiang Ge; Xu Chen 017; Qiaoying Huang; Shijie Geng; Zhou Qin 001; Gerard de Melo; S. Muthukrishnan 001; Yongfeng Zhang 003 (CIKM, 2020)

Multi-Layer Content Interaction Through Quaternion Product for Visual Question Answering. - Lei Shi 002; Shijie Geng; Kai Shuang; Chiori Hori; Songxiang Liu; Peng Gao 007; Sen Su (ICASSP, 2020)

Combining CGAN and Mil for Hotspot Segmentation in Bone Scintigraphy. - Hang Xu; Shijie Geng; Yu Qiao 003; Kuan Xu; Yueyang Gu (ICASSP, 2020)

Fairness-Aware Explainable Recommendation over Knowledge Graphs. - Zuohui Fu; Yikun Xian; Ruoyuan Gao; Jieyu Zhao 004; Qiaoying Huang; Yingqiang Ge; Shuyuan Xu; Shijie Geng; Chirag Shah 001; Yongfeng Zhang 003; Gerard de Melo (SIGIR, 2020)

Character Matters: Video Story Understanding with Character-Aware Relations. - Shijie Geng; Ji Zhang; Zuohui Fu; Peng Gao 007; Hang Zhang; Gerard de Melo (CoRR, 2020)

Spatio-Temporal Scene Graphs for Video Dialog. - Shijie Geng; Peng Gao 007; Chiori Hori; Jonathan Le Roux; Anoop Cherian (CoRR, 2020)

Contrastive Visual-Linguistic Pretraining. - Lei Shi 002; Kai Shuang; Shijie Geng; Peng Su; Zhengkai Jiang 001; Peng Gao 007; Zuohui Fu; Gerard de Melo; Sen Su (CoRR, 2020)

Multi-Pass Transformer for Machine Translation. - Peng Gao 007; Chiori Hori; Shijie Geng; Takaaki Hori; Jonathan Le Roux (CoRR, 2020)

Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers. - Shijie Geng; Peng Gao 007; Moitreya Chatterjee; Chiori Hori; Jonathan Le Roux; Yongfeng Zhang; Hongsheng Li 001; Anoop Cherian (AAAI, 2021)

Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. - Zuohui Fu; Yikun Xian; Shijie Geng; Gerard de Melo; Yongfeng Zhang 003 (CIKM, 2021)

Dense Contrastive Visual-Linguistic Pretraining. - Lei Shi 002; Kai Shuang; Shijie Geng; Peng Gao 007; Zuohui Fu; Gerard de Melo; Yunpeng Chen; Sen Su (ACM Multimedia, 2021)

RomeBERT: Robust Training of Multi-Exit BERT. - Shijie Geng; Peng Gao 007; Zuohui Fu; Yongfeng Zhang (CoRR, 2021)

Scalable Transformers for Neural Machine Translation. - Peng Gao 007; Shijie Geng; Yu Qiao 001; Xiaogang Wang 001; Jifeng Dai; Hongsheng Li 001 (CoRR, 2021)

Counterfactual Evaluation for Explainable AI. - Yingqiang Ge; Shuchang Liu 001; Zelong Li 001; Shuyuan Xu; Shijie Geng; Yunqi Li 003; Juntao Tan; Fei Sun 001; Yongfeng Zhang 003 (CoRR, 2021)

A Simple Long-Tailed Recognition Baseline via Vision-Language Model. - Teli Ma; Shijie Geng; Mengmeng Wang 005; Jing Shao; Jiasen Lu; Hongsheng Li 001; Peng Gao 007; Yu Qiao 001 (CoRR, 2021)

COMPOSER: Compositional Learning of Group Activity in Videos. - Honglu Zhou; Asim Kadav; Aviv Shamsian; Shijie Geng; Farley Lai; Long Zhao 003; Ting Liu 005; Mubbasir Kapadia; Hans Peter Graf (CoRR, 2021)

Improving Personalized Explanation Generation through Visualization. - Shijie Geng; Zuohui Fu; Yingqiang Ge; Lei Li 042; Gerard de Melo; Yongfeng Zhang 003 (ACL (1), 2022)

Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition. - Teli Ma; Shijie Geng; Mengmeng Wang 005; Sheng Xu 007; Hongsheng Li 001; Baochang Zhang 001; Peng Gao 007; Yu Qiao 001 (BMVC, 2022)

Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning. - Yuxiao Chen 002; Long Zhao 003; Jianbo Yuan; Yu Tian 003; Zhaoyang Xia; Shijie Geng; Ligong Han; Dimitris N. Metaxas (ECCV (26), 2022)

Frozen CLIP Models are Efficient Video Learners. - Ziyi Lin; Shijie Geng; Renrui Zhang; Peng Gao 007; Gerard de Melo; Xiaogang Wang 001; Jifeng Dai; Yu Qiao 001; Hongsheng Li 001 (ECCV (35), 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 003; Ting Liu 005; Mubbasir Kapadia; Hans Peter Graf (ECCV (35), 2022)

Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning. - Ankit P. Shah; Shijie Geng; Peng Gao 007; Anoop Cherian; Takaaki Hori; Tim K. Marks; Jonathan Le Roux; Chiori Hori (ICASSP, 2022)

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). - Shijie Geng; Shuchang Liu 001; Zuohui Fu; Yingqiang Ge; Yongfeng Zhang 003 (RecSys, 2022)

Explainable Fairness in Recommendation. - Yingqiang Ge; Juntao Tan; Yan Zhu; Yinglong Xia; Jiebo Luo 001; Shuchang Liu 001; Zuohui Fu; Shijie Geng; Zelong Li 001; Yongfeng Zhang 003 (SIGIR, 2022)

Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. - Shijie Geng; Zuohui Fu; Juntao Tan; Yingqiang Ge; Gerard de Melo; Yongfeng Zhang 003 (WWW, 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 003; Yongfeng Zhang 003 (WWW, 2022)

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 (CoRL, 2023)

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. - Yuxiao Chen 002; Jianbo Yuan; Yu Tian 003; Shijie Geng; Xinyu Li; Ding Zhou; Dimitris N. Metaxas; Hongxia Yang (CVPR, 2023)

VIP5: Towards Multimodal Foundation Models for Recommendation. - Shijie Geng; Juntao Tan; Shuchang Liu 001; Zuohui Fu; Yongfeng Zhang 003 (EMNLP (Findings), 2023)

HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention. - Shijie Geng; Jianbo Yuan; Yu Tian 003; Yuxiao Chen 002; Yongfeng Zhang (ICLR, 2023)

Mono-STAR: Mono-Camera Scene-Level Tracking and Reconstruction. - Haonan Chang; Dhruv Metha Ramesh; Shijie Geng; Yuqiu Gan; Abdeslam Boularias (ICRA, 2023)

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model. - Peng Gao 007; Jiaming Han; Renrui Zhang; Ziyi Lin; Shijie Geng; Aojun Zhou; Wei Zhang 056; Pan Lu; Conghui He; Xiangyu Yue 001; Hongsheng Li 001; Yu Qiao 001 (CoRR, 2023)

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. - Dongyang Liu; Renrui Zhang; Longtian Qiu; Siyuan Huang 004; Weifeng Lin; Shitian Zhao; Shijie Geng; Ziyi Lin; Peng Jin; Kaipeng Zhang; Wenqi Shao; Chao Xu; et al. (ICML, 2024)

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models. - Linyi Li 001; Shijie Geng; Zhenwen Li; Yibo He; Hao Yu 016; Ziyue Hua; Guanghan Ning; Siwei Wang; Tao Xie 001; Hongxia Yang (NeurIPS, 2024)

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. - Peng Gao 007; Renrui Zhang; Chris Liu; Longtian Qiu; Siyuan Huang 004; Weifeng Lin; Shitian Zhao; Shijie Geng; Ziyi Lin; Peng Jin; Kaipeng Zhang; Wenqi Shao; et al. (CoRR, 2024)

InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models. - Linyi Li 001; Shijie Geng; Zhenwen Li; Yibo He; Hao Yu 016; Ziyue Hua; Guanghan Ning; Siwei Wang; Tao Xie 001; Hongxia Yang (CoRR, 2024)

Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers. - Peng Gao 007; Le Zhuo; Dongyang Liu; Ruoyi Du; Xu Luo; Longtian Qiu; Yuhang Zhang; Chen Lin; Rongjie Huang 001; Shijie Geng; Renrui Zhang; Junlin Xi; et al. (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)

CLIP-Adapter: Better Vision-Language Models with Feature Adapters. - Peng Gao 007; Shijie Geng; Renrui Zhang; Teli Ma; Rongyao Fang; Yongfeng Zhang; Hongsheng Li 001; Yu Qiao 001 (Int. J. Comput. Vis., 2024)

Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation. - Peng Gao 007; Le Zhuo; Dongyang Liu; Ruoyi Du; Xu Luo; Longtian Qiu; Yuhang Zhang; Rongjie Huang 001; Shijie Geng; Renrui Zhang; Junlin Xie; Wenqi Shao; et al. (ICLR, 2025)