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2020 – today
- 2023
[j26]Zongshen Mu, Siliang Tang, Chang Zong, Dianhai Yu, Yueting Zhuang:
Graph neural networks meet with distributed graph partitioners and reconciliations. Neurocomputing 518: 408-417 (2023)- [j25]Zewei He, Du Chen
, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Xin Li, Siliang Tang, Yueting Zhuang, Zhe-ming Lu:
Single image super-resolution based on progressive fusion of orientation-aware features. Pattern Recognit. 133: 109038 (2023) - [i61]Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. CoRR abs/2301.09071 (2023) - [i60]Kai Shen, Junliang Guo, Xu Tan, Siliang Tang, Rui Wang, Jiang Bian:
A Study on ReLU and Softmax in Transformer. CoRR abs/2302.06461 (2023) - [i59]Yun Zhu, Jianhao Guo, Siliang Tang:
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning. CoRR abs/2302.12449 (2023) - [i58]Jiacheng Li, Longhui Wei, Zongyuan Zhan, Xin He, Siliang Tang, Qi Tian, Yueting Zhuang:
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding. CoRR abs/2303.03800 (2023) - [i57]Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang:
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. CoRR abs/2303.05231 (2023) - [i56]Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang:
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models. CoRR abs/2303.06571 (2023) - [i55]Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang:
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference. CoRR abs/2303.09266 (2023) - 2022
- [j24]Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Fei Wu, Yi Yang, Wenwu Zhu, Yueting Zhuang:
NAP: Neural architecture search with pruning. Neurocomputing 477: 85-95 (2022) - [j23]Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang:
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images. IEEE Trans. Image Process. 31: 1107-1119 (2022) - [c67]Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang:
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. AAAI 2022: 2225-2234 - [c66]Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu:
Feeding What You Need by Understanding What You Learned. ACL (1) 2022: 5858-5874 - [c65]Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Yi Yang, Longhui Wei, Yueting Zhuang, Qi Tian:
Learning to Learn by Jointly Optimizing Neural Architecture and Weights. CVPR 2022: 129-138 - [c64]Juncheng Li, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang:
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning. CVPR 2022: 3022-3031 - [c63]Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu:
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. EMNLP 2022: 562-581 - [c62]Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, QianYing Wang:
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. EMNLP 2022: 1314-1323 - [c61]Kai Shen, Yichong Leng, Xu Tan, Siliang Tang, Yuan Zhang, Wenjie Liu, Edward Lin:
Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction. EMNLP 2022: 10367-10380 - [c60]Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang:
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. ICML 2022: 3662-3678 - [c59]Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang:
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. IJCAI 2022: 3795-3801 - [c58]Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu:
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. KDD 2022: 2935-2945 - [c57]Zongshen Mu, Yueting Zhuang, Jie Tan, Jun Xiao, Siliang Tang:
Learning Hybrid Behavior Patterns for Multimedia Recommendation. ACM Multimedia 2022: 376-384 - [c56]Juncheng Li, Junlin Xie, Linchao Zhu, Long Qian, Siliang Tang, Wenqiao Zhang, Haochen Shi, Shengyu Zhang, Longhui Wei, Qi Tian, Yueting Zhuang:
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos. ACM Multimedia 2022: 5083-5092 - [i54]Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang:
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images. CoRR abs/2201.00100 (2022) - [i53]Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu:
Feeding What You Need by Understanding What You Learned. CoRR abs/2203.02753 (2022) - [i52]Juncheng Li, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang:
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning. CoRR abs/2203.13049 (2022) - [i51]Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang:
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. CoRR abs/2204.13846 (2022) - [i50]Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu:
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. CoRR abs/2204.13921 (2022) - [i49]Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang:
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. CoRR abs/2206.01944 (2022) - [i48]Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu:
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. CoRR abs/2206.03288 (2022) - [i47]Wenqiao Zhang, Jiannan Guo, Mengze Li, Haochen Shi, Shengyu Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang:
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval. CoRR abs/2207.04211 (2022) - [i46]Juncheng Li, Junlin Xie, Linchao Zhu, Long Qian, Siliang Tang, Wenqiao Zhang, Haochen Shi, Shengyu Zhang, Longhui Wei, Qi Tian, Yueting Zhuang:
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos. CoRR abs/2208.01954 (2022) - [i45]Juncheng Li, Xin He, Longhui Wei, Long Qian, Linchao Zhu, Lingxi Xie, Yueting Zhuang, Qi Tian, Siliang Tang:
Fine-Grained Semantically Aligned Vision-Language Pre-Training. CoRR abs/2208.02515 (2022) - [i44]Chang Zong, Yueting Zhuang, Weiming Lu, Jian Shao, Siliang Tang:
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph. CoRR abs/2210.00450 (2022) - [i43]Tao Chen, Luxin Liu, Xuepeng Jia, Baoliang Cui, Haihong Tang, Siliang Tang:
Distilling Task-specific Logical Rules from Large Pre-trained Models. CoRR abs/2210.02768 (2022) - [i42]Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, QianYing Wang:
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. CoRR abs/2210.07733 (2022) - [i41]Kai Shen, Yichong Leng, Xu Tan, Siliang Tang, Yuan Zhang, Wenjie Liu, Edward Lin:
Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction. CoRR abs/2211.13252 (2022) - [i40]Bosheng Qin, Juncheng Li, Siliang Tang, Yueting Zhuang:
DBA: Efficient Transformer with Dynamic Bilinear Low-Rank Attention. CoRR abs/2211.16368 (2022) - 2021
- [j22]Yueting Zhuang, Siliang Tang:
Visual knowledge: an attempt to explore machine creativity. Frontiers Inf. Technol. Electron. Eng. 22(5): 619-624 (2021) - [j21]Wenqiao Zhang, Siliang Tang, Jiajie Su, Jun Xiao, Yueting Zhuang:
Tell and guess: cooperative learning for natural image caption generation with hierarchical refined attention. Multim. Tools Appl. 80(11): 16267-16282 (2021) - [j20]Jun Song, Yueyang Wang, Siliang Tang, Yin Zhang, Zhigang Chen, Zhongfei Zhang, Tong Zhang, Fei Wu:
Local-Global Memory Neural Network for Medication Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1723-1736 (2021) - [c55]Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu, Yueting Zhuang:
Consensus Graph Representation Learning for Better Grounded Image Captioning. AAAI 2021: 3394-3402 - [c54]Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang:
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training. AAAI 2021: 12675-12682 - [c53]Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang:
Disentangled Motif-aware Graph Learning for Phrase Grounding. AAAI 2021: 13587-13594 - [c52]Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang:
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. ACL/IJCNLP (1) 2021: 6191-6200 - [c51]Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Kun Kuang, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded, Controllable and Debiased Image Completion With Lexical Semantics. CVPR Workshops 2021: 1748-1751 - [c50]Qi Zhang, Siliang Tang, Jinquan Sun, Yu Wang, Lei Zhang:
Clustering-Augmented Multi-instance Learning for Neural Relation Extraction. ECIR (2) 2021: 448-454 - [c49]Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang:
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference. ICCV 2021: 1847-1857 - [c48]Jiannan Guo, Haochen Shi, Yangyang Kang, Kun Kuang, Siliang Tang, Zhuoren Jiang, Changlong Sun, Fei Wu, Yueting Zhuang:
Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels. ICCV 2021: 2876-2885 - [c47]Feifei Shao, Yawei Luo, Li Zhang, Lu Ye, Siliang Tang, Yi Yang, Jun Xiao:
Improving Weakly Supervised Object Localization via Causal Intervention. ACM Multimedia 2021: 3321-3329 - [c46]Kai Shen, Lingfei Wu, Siliang Tang, Yueting Zhuang, Zhen He, Zhuoye Ding, Yun Xiao, Bo Long:
Learning to Generate Visual Questions with Noisy Supervision. NeurIPS 2021: 11604-11617 - [c45]Shengyu Zhang, Donghui Wang, Zhou Zhao, Siliang Tang, Kun Kuang, Di Xie, Fei Wu:
MGD-GAN: Text-to-Pedestrian Generation Through Multi-grained Discrimination. PRCV (2) 2021: 662-673 - [i39]Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang:
Disentangled Motif-aware Graph Learning for Phrase Grounding. CoRR abs/2104.06008 (2021) - [i38]Feifei Shao, Yawei Luo, Li Zhang, Lu Ye, Siliang Tang, Yi Yang, Jun Xiao:
Improving Weakly-supervised Object Localization via Causal Intervention. CoRR abs/2104.10351 (2021) - [i37]Guangzhao Cheng, Siliang Tang:
To be a fast adaptive learner: using game history to defeat opponents. CoRR abs/2105.08110 (2021) - [i36]Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang:
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training. CoRR abs/2106.10835 (2021) - [i35]Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang:
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. CoRR abs/2106.10855 (2021) - [i34]Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang:
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference. CoRR abs/2107.12270 (2021) - [i33]Zixuan Ni, Haizhou Shi, Siliang Tang, Yueting Zhuang:
Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration. CoRR abs/2107.12308 (2021) - [i32]Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang:
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. CoRR abs/2107.14762 (2021) - [i31]Haizhou Shi, Youcai Zhang, Zijin Shen, Siliang Tang, Yaqian Li, Yandong Guo, Yueting Zhuang:
Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation. CoRR abs/2109.14611 (2021) - [i30]Zixuan Ni, Siliang Tang, Yueting Zhuang:
Self-Supervised Class Incremental Learning. CoRR abs/2111.11208 (2021) - [i29]Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang:
Relational Graph Learning for Grounded Video Description Generation. CoRR abs/2112.00967 (2021) - [i28]Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu, Yueting Zhuang:
Consensus Graph Representation Learning for Better Grounded Image Captioning. CoRR abs/2112.00974 (2021) - 2020
- [j19]Yunan Ye, Shifeng Zhang, Yimeng Li, Xufeng Qian, Siliang Tang, Shiliang Pu, Jun Xiao:
Video question answering via grounded cross-attention network learning. Inf. Process. Manag. 57(4): 102265 (2020) - [j18]Xiangzhou Huang, Siliang Tang, Yin Zhang, Baogang Wei:
Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension. Frontiers Inf. Technol. Electron. Eng. 21(9): 1346-1355 (2020) - [j17]Wenqiao Zhang, Siliang Tang, Yanpeng Cao, Shiliang Pu, Fei Wu, Yueting Zhuang:
Frame Augmented Alternating Attention Network for Video Question Answering. IEEE Trans. Multim. 22(4): 1032-1041 (2020) - [j16]Zewei He, Yanpeng Cao, Lei Du, Baobei Xu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yueting Zhuang:
MRFN: Multi-Receptive-Field Network for Fast and Accurate Single Image Super-Resolution. IEEE Trans. Multim. 22(4): 1042-1054 (2020) - [c44]Long Chen, Chujie Lu, Siliang Tang, Jun Xiao, Dong Zhang, Chilie Tan, Xiaolin Li:
Rethinking the Bottom-Up Framework for Query-Based Video Localization. AAAI 2020: 10551-10558 - [c43]Jie Tan, Changlin Yang, Ying Li, Siliang Tang, Chen Huang, Yueting Zhuang:
Neural-DINF: A Neural Network based Framework for Measuring Document Influence. ACL 2020: 6004-6009 - [c42]Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar:
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. CVPR Workshops 2020: 2077-2088 - [c41]Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang:
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CVPR 2020: 12120-12129 - [c40]Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren:
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. ECAI 2020: 2156-2163 - [c39]Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang:
Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description. IJCAI 2020: 941-947 - [c38]Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren:
Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training. IJCAI 2020: 3898-3904 - [c37]Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang:
Relational Graph Learning for Grounded Video Description Generation. ACM Multimedia 2020: 3807-3828 - [c36]Wenqiao Zhang, Siliang Tang, Yanpeng Cao, Jun Xiao, Shiliang Pu, Fei Wu, Yueting Zhuang:
Photo Stream Question Answer. ACM Multimedia 2020: 3966-3975 - [c35]Jiacheng Li, Siliang Tang, Juncheng Li, Jun Xiao, Fei Wu, Shiliang Pu, Yueting Zhuang:
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling. ACM Multimedia 2020: 4208-4216 - [i27]Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded and Controllable Image Completion by Incorporating Lexical Semantics. CoRR abs/2003.00303 (2020) - [i26]Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren:
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. CoRR abs/2003.10388 (2020) - [i25]Siwei Fu, Kai Xiong, Xiaodong Ge, Siliang Tang, Wei Chen, Yingcai Wu:
Quda: Natural Language Queries for Visual Data Analytics. CoRR abs/2005.03257 (2020) - [i24]Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yun Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar:
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. CoRR abs/2005.04117 (2020) - [i23]Yesheng Xu, Ming Kong, Wenjia Xie, Runping Duan, Zhengqing Fang, Yuxiao Lin, Qiang Zhu, Siliang Tang, Fei Wu, Yu-Feng Yao:
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis. CoRR abs/2006.02666 (2020) - [i22]Jiacheng Li, Siliang Tang, Juncheng Li, Jun Xiao, Fei Wu, Shiliang Pu, Yueting Zhuang:
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling. CoRR abs/2008.04504 (2020) - [i21]Siliang Tang, Qi Zhang, Tianpeng Zheng, Mengdi Zhou, Zhan Chen, Lixing Shen, Xiang Ren, Yueting Zhuang, Shiliang Pu, Fei Wu:
Two Step Joint Model for Drug Drug Interaction Extraction. CoRR abs/2008.12704 (2020) - [i20]Shengyu Zhang, Donghui Wang, Zhou Zhao, Siliang Tang, Di Xie, Fei Wu:
MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination. CoRR abs/2010.00947 (2020) - [i19]Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang:
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach. CoRR abs/2011.10944 (2020)
2010 – 2019
- 2019
- [j15]Zewei He, Siliang Tang, Jiangxin Yang, Yanlong Cao, Michael Ying Yang, Yanpeng Cao:
Cascaded Deep Networks With Multiple Receptive Fields for Infrared Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 29(8): 2310-2322 (2019) - [j14]Xin Min, Wenqiao Zhang, Shouqian Sun, Nan Zhao, Siliang Tang, Yueting Zhuang:
VPModel: High-Fidelity Product Simulation in a Virtual-Physical Environment. IEEE Trans. Vis. Comput. Graph. 25(11): 3083-3093 (2019) - [c34]Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. AAAI 2019: 419-426 - [c33]Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu, Xiang Ren:
KCAT: A Knowledge-Constraint Typing Annotation Tool. ACL (3) 2019: 99-104 - [c32]Du Chen, Zewei He, Anshun Sun, Jiangxin Yang, Yanlong Cao, Yanpeng Cao, Siliang Tang, Michael Ying Yang:
Orientation-Aware Deep Neural Network for Real Image Super-Resolution. CVPR Workshops 2019: 1944-1953 - [c31]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c30]Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
Learning Dynamic Context Augmentation for Global Entity Linking. EMNLP/IJCNLP (1) 2019: 271-281 - [c29]Juncheng Li, Siliang Tang, Fei Wu, Yueting Zhuang:
Walking with MIND: Mental Imagery eNhanceD Embodied QA. ACM Multimedia 2019: 1211-1219 - [c28]Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang:
Informative Visual Storytelling with Cross-modal Rules. ACM Multimedia 2019: 2314-2322 - [c27]Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang:
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. NAACL-HLT (1) 2019: 2831-2835 - [c26]Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren:
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering. NAACL-HLT (1) 2019: 2862-2872 - [i18]Yufeng Hu, Haochen Shi, Tao Chen, Siliang Tang, Quan Liu, Zhigang Chen, Xiang Ren, Fei Wu, Yueting Zhuang:
The ZJU-EDL System for Entity Discovery and Linking at TAC KBP 2019. TAC 2019 - [i17]Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren:
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering. CoRR abs/1904.06475 (2019) - [i16]Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang:
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. CoRR abs/1904.08051 (2019) - [i15]Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
KCAT: A Knowledge-Constraint Typing Annotation Tool. CoRR abs/1906.05670 (2019) - [i14]Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang:
Informative Visual Storytelling with Cross-modal Rules. CoRR abs/1907.03240 (2019) - [i13]Juncheng Li, Siliang Tang, Fei Wu, Yueting Zhuang:
Walking with MIND: Mental Imagery eNhanceD Embodied QA. CoRR abs/1908.01482 (2019) - [i12]