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ORCIDSteven C. H. Hoi
Steven Chu-Hong Hoi
Person information
- affiliation: Singapore Management University, School of Information Systems, Singapore
- affiliation: Nanyang Technological University, School of Computer Engineering, Singapore
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
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2020 – today
- 2024
[j107]Quang Pham
, Chenghao Liu, Steven C. H. Hoi:
Continual Learning, Fast and Slow. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 134-149 (2024)- [j106]Zemin Liu, Yuan Fang, Wentao Zhang, Xinming Zhang, Steven C. H. Hoi:
Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 36(6): 2517-2532 (2024) - [j105]Xingyu Gao, Xi Wang, Zhenyu Chen, Wei Zhou, Steven C. H. Hoi:
Knowledge Enhanced Vision and Language Model for Multi-Modal Fake News Detection. IEEE Trans. Multim. 26: 8312-8322 (2024) - [c224]Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong:
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. NAACL-HLT 2024: 3427-3454 - [i126]Xingtong Yu, Yuan Fang, Zemin Liu, Yuxia Wu, Zhihao Wen, Jianyuan Bo, Xinming Zhang, Steven C. H. Hoi:
Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting. CoRR abs/2402.01440 (2024) - [i125]Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho:
CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. CoRR abs/2402.02526 (2024) - [i124]Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong:
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. CoRR abs/2404.02415 (2024) - 2023
- [j104]Hanqing Wang, Wenguan Wang, Wei Liang, Steven C. H. Hoi, Jianbing Shen, Luc Van Gool:
Active Perception for Visual-Language Navigation. Int. J. Comput. Vis. 131(3): 607-625 (2023) - [j103]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24: 226:1-226:6 (2023) - [j102]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Learning Structural Representations for Recipe Generation and Food Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3363-3377 (2023) - [j101]Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi:
Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognit. Lett. 168: 123-130 (2023) - [j100]Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu:
RegNet: Self-Regulated Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9562-9567 (2023) - [c223]Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi:
LAVIS: A One-stop Library for Language-Vision Intelligence. ACL (demo) 2023: 31-41 - [c222]Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi:
From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. CVPR 2023: 10867-10877 - [c221]Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi:
CodeT5+: Open Code Large Language Models for Code Understanding and Generation. EMNLP 2023: 1069-1088 - [c220]Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. EMNLP 2023: 5754-5765 - [c219]Hailin Chen, Amrita Saha, Steven Chu-Hong Hoi, Shafiq Joty:
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. EMNLP 2023: 6737-6749 - [c218]Weishi Wang, Yue Wang, Steven C. H. Hoi, Shafiq Joty:
Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models. EMNLP 2023: 6954-6968 - [c217]Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
OTW: Optimal Transport Warping for Time Series. ICASSP 2023: 1-5 - [c216]Junnan Li, Silvio Savarese, Steven C. H. Hoi:
Masked Unsupervised Self-training for Label-free Image Classification. ICLR 2023 - [c215]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. ICLR 2023 - [c214]Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi:
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. ICML 2023: 19730-19742 - [c213]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
Learning Deep Time-index Models for Time Series Forecasting. ICML 2023: 37217-37237 - [c212]Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi:
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. NeurIPS 2023 - [c211]Dongxu Li, Junnan Li, Steven C. H. Hoi:
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing. NeurIPS 2023 - [c210]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues. SIGDIAL 2023: 548-561 - [c209]Weishi Wang, Yue Wang, Shafiq Joty, Steven C. H. Hoi:
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair. ESEC/SIGSOFT FSE 2023: 146-158 - [c208]Akhilesh Deepak Gotmare, Junnan Li, Shafiq Joty, Steven C. H. Hoi:
Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models. ESEC/SIGSOFT FSE 2023: 388-400 - [c207]Steven C. H. Hoi:
Responsible AI for Trusted AI-powered Enterprise Platforms. WSDM 2023: 1277-1278 - [i123]Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi:
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. CoRR abs/2301.12597 (2023) - [i122]Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
LogAI: A Library for Log Analytics and Intelligence. CoRR abs/2301.13415 (2023) - [i121]Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi:
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. CoRR abs/2304.04661 (2023) - [i120]Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi:
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. CoRR abs/2305.06500 (2023) - [i119]Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi:
CodeT5+: Open Code Large Language Models for Code Understanding and Generation. CoRR abs/2305.07922 (2023) - [i118]Dongxu Li, Junnan Li, Steven C. H. Hoi:
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing. CoRR abs/2305.14720 (2023) - [i117]Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi:
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM. CoRR abs/2306.00029 (2023) - [i116]Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
OTW: Optimal Transport Warping for Time Series. CoRR abs/2306.00620 (2023) - [i115]Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi:
PyRCA: A Library for Metric-based Root Cause Analysis. CoRR abs/2306.11417 (2023) - [i114]Weishi Wang, Yue Wang, Shafiq Joty, Steven C. H. Hoi:
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair. CoRR abs/2309.06057 (2023) - [i113]Hailin Chen, Amrita Saha, Steven C. H. Hoi, Shafiq Joty:
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. CoRR abs/2310.18628 (2023) - [i112]Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. CoRR abs/2312.07035 (2023) - 2022
- [j99]Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-Identification: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2872-2893 (2022) - [j98]Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi:
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5933-5946 (2022) - [j97]Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Shahbaz Khan, Steven C. H. Hoi:
Distilled Siamese Networks for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8896-8909 (2022) - [j96]Chuhui Xue, Shijian Lu, Steven C. H. Hoi:
Detection and rectification of arbitrary shaped scene texts by using text keypoints and links. Pattern Recognit. 124: 108494 (2022) - [j95]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Decomposing generation networks with structure prediction for recipe generation. Pattern Recognit. 126: 108578 (2022) - [j94]Chen Zhang, Jun Long Lim, Ouyang Liu, Aayush Madan, Yongwei Zhu, Shili Xiang, Kai Wu, Rebecca Yen-Ni Wong, Eugene Phua Jiliang, Karan M. Sabnani, Keng Boon Siah, Wenyu Jiang, Yixin Wang, Emily Hao Jianzhong, Steven C. H. Hoi:
A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment. IEEE Trans Autom. Sci. Eng. 19(1): 441-456 (2022) - [j93]Cen Chen, Xiaofeng Zou, Zeng Zeng, Zhongyao Cheng, Le Zhang, Steven C. H. Hoi:
Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains. IEEE Trans. Cybern. 52(2): 1233-1246 (2022) - [j92]Mang Ye, He Li, Bo Du, Jianbing Shen, Ling Shao, Steven C. H. Hoi:
Collaborative Refining for Person Re-Identification With Label Noise. IEEE Trans. Image Process. 31: 379-391 (2022) - [j91]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cross-Modal Graph With Meta Concepts for Video Captioning. IEEE Trans. Image Process. 31: 5150-5162 (2022) - [j90]Cen Chen, Kenli Li, Zhongyao Cheng, Francesco Piccialli, Steven C. H. Hoi, Zeng Zeng:
A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains. IEEE Trans. Intell. Transp. Syst. 23(4): 3268-3280 (2022) - [j89]Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism. IEEE Trans. Multim. 24: 2515-2525 (2022) - [c206]Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text. AAAI 2022: 11238-11247 - [c205]Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi:
Align and Prompt: Video-and-Language Pre-training with Entity Prompts. CVPR 2022: 4943-4953 - [c204]Guangsen Wang, Samson Tan, Shafiq R. Joty, Gang Wu, Jimmy Au, Steven C. H. Hoi:
BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems. EMNLP (Demos) 2022: 178-190 - [c203]Nghi Bui, Yue Wang, Steven C. H. Hoi:
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5. EMNLP (Findings) 2022: 812-823 - [c202]Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi:
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. EMNLP (Findings) 2022: 951-967 - [c201]Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Learning Label Modular Prompts for Text Classification in the Wild. EMNLP 2022: 1677-1690 - [c200]Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi, Soujanya Poria:
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. EMNLP 2022: 6776-6791 - [c199]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. ICLR 2022 - [c198]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. ICLR 2022 - [c197]Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi:
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. ICML 2022: 12888-12900 - [c196]Amrita Saha, Steven C. H. Hoi:
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps. ICSE (SEIP) 2022: 197-206 - [c195]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval. ACM Multimedia 2022: 5517-5526 - [c194]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems. NAACL-HLT 2022: 3377-3393 - [c193]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Dialogue State Tracking. NAACL-HLT 2022: 3394-3415 - [c192]Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu-Hong Hoi:
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. NeurIPS 2022 - [i111]Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi:
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. CoRR abs/2201.12086 (2022) - [i110]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. CoRR abs/2202.01381 (2022) - [i109]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. CoRR abs/2202.01575 (2022) - [i108]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. CoRR abs/2202.11672 (2022) - [i107]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. CoRR abs/2203.16102 (2022) - [i106]Amrita Saha, Steven C. H. Hoi:
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps. CoRR abs/2204.11598 (2022) - [i105]Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi:
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. CoRR abs/2205.11024 (2022) - [i104]Wenzhuo Yang, Jia Li, Caiming Xiong, Steven C. H. Hoi:
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation. CoRR abs/2205.15540 (2022) - [i103]Wenzhuo Yang, Hung Le, Silvio Savarese, Steven C. H. Hoi:
OmniXAI: A Library for Explainable AI. CoRR abs/2206.01612 (2022) - [i102]Junnan Li, Silvio Savarese, Steven C. H. Hoi:
Masked Unsupervised Self-training for Zero-shot Image Classification. CoRR abs/2206.02967 (2022) - [i101]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Dialogue State Tracking. CoRR abs/2206.07898 (2022) - [i100]Wenzhuo Yang, Kun Zhang, Steven C. H. Hoi:
Causality-Based Multivariate Time Series Anomaly Detection. CoRR abs/2206.15033 (2022) - [i99]Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven C. H. Hoi:
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. CoRR abs/2207.01780 (2022) - [i98]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting. CoRR abs/2207.06046 (2022) - [i97]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image. CoRR abs/2207.14425 (2022) - [i96]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval. CoRR abs/2207.14428 (2022) - [i95]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Learning: Fast and Slow. CoRR abs/2209.02370 (2022) - [i94]Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi:
LAVIS: A Library for Language-Vision Intelligence. CoRR abs/2209.09019 (2022) - [i93]Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi:
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. CoRR abs/2210.08773 (2022) - [i92]Guangsen Wang, Samson Tan, Shafiq R. Joty, Gang Wu, Jimmy Au, Steven C. H. Hoi:
BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems. CoRR abs/2211.11982 (2022) - [i91]Guangsen Wang, Shafiq R. Joty, Junnan Li, Steven C. H. Hoi:
BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems. CoRR abs/2211.15916 (2022) - [i90]Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Learning Label Modular Prompts for Text Classification in the Wild. CoRR abs/2211.17142 (2022) - [i89]Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi:
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models. CoRR abs/2212.10846 (2022) - 2021
- [j88]Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao:
Online learning: A comprehensive survey. Neurocomputing 459: 249-289 (2021) - [j87]Wenguan Wang, Jianbing Shen, Xiankai Lu, Steven C. H. Hoi, Haibin Ling:
Paying Attention to Video Object Pattern Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2413-2428 (2021) - [j86]Zhihao Wang, Jian Chen, Steven C. H. Hoi:
Deep Learning for Image Super-Resolution: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3365-3387 (2021) - [j85]Jialiang Zhang, Lixiang Lin, Jianke Zhu, Yang Li, Yun-chen Chen, Yao Hu, Steven C. H. Hoi:
Attribute-Aware Pedestrian Detection in a Crowd. IEEE Trans. Multim. 23: 3085-3097 (2021) - [c191]Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. AAAI 2021: 4267-4275 - [c190]Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi:
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation. CIKM 2021: 4302-4311 - [c189]Yue Wang, Weishi Wang, Shafiq R. Joty, Steven C. H. Hoi:
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation. EMNLP (1) 2021: 8696-8708 - [c188]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. ICCV 2021: 9455-9464 - [c187]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
Learning from Noisy Data with Robust Representation Learning. ICCV 2021: 9465-9474 - [c186]Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838 - [c185]Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo:
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCVW 2021: 2839-2846 - [c184]Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang:
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. ICCVW 2021: 2847-2854 - [c183]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
MoPro: Webly Supervised Learning with Momentum Prototypes. ICLR 2021 - [c182]Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. ICLR 2021 - [c181]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. ICLR 2021 - [c180]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Contextual Transformation Networks for Online Continual Learning. ICLR 2021 - [c179]Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection. ICLR 2021 - [c178]Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Node-wise Localization of Graph Neural Networks. IJCAI 2021: 1520-1526 - [c177]Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi:
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. Interspeech 2021: 2451-2455 - [c176]Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun:
A Large-Scale Benchmark for Food Image Segmentation. ACM Multimedia 2021: 506-515 - [c175]