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2020 – today
- 2025
[c90]Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. COLING 2025: 886-896- 2024
- [j15]Zhihan Zhang
, Chuhan Wu, Hongyi Chen, Hongyang Chen:
CogAware: Cognition-Aware framework for sentiment analysis with textual representations. Knowl. Based Syst. 299: 112094 (2024) - [c89]Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang:
Learning to Edit: Aligning LLMs with Knowledge Editing. ACL (1) 2024: 4689-4705 - [c88]Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang:
Confidence-Aware Multi-Field Model Calibration. CIKM 2024: 5111-5118 - [c87]Chuhan Wu, Xiaochuan Luo, Haoran Huang, Yulin Zhang:
CIMTD: Class Incremental Multi-Teacher Knowledge Distillation for Fractal Object Detection. PRCV (12) 2024: 51-65 - [c86]Yu Liu, Qinglin Jia, Shuting Shi, Chuhan Wu, Zhaocheng Du, Zheng Xie, Ruiming Tang, Muyu Zhang, Ming Li:
Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space. RecSys 2024: 360-369 - [c85]Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen:
A Tutorial on Feature Interpretation in Recommender Systems. RecSys 2024: 1281-1282 - [c84]Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang:
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. WWW (Companion Volume) 2024: 10-19 - [c83]Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang:
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. WWW (Companion Volume) 2024: 38-46 - [c82]Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining and Generation for Recommendation: A Tutorial. WWW (Companion Volume) 2024: 1272-1275 - [d1]Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang:
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. Zenodo, 2024
- [i77]Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang:
Learning to Edit: Aligning LLMs with Knowledge Editing. CoRR abs/2402.11905 (2024) - [i76]Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang:
Confidence-Aware Multi-Field Model Calibration. CoRR abs/2402.17655 (2024) - [i75]Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu:
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CoRR abs/2403.16378 (2024) - [i74]Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. CoRR abs/2404.00702 (2024) - [i73]Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang:
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. CoRR abs/2404.08301 (2024) - [i72]Kaiyi Pang, Tao Qi, Chuhan Wu, Minhao Bai:
Adaptive and robust watermark against model extraction attack. CoRR abs/2405.02365 (2024) - [i71]Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining and Generation for Recommendation: A Tutorial. CoRR abs/2405.06927 (2024) - [i70]Kexin Jiang, Chuhan Wu, Yaoran Chen:
Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Prediction. CoRR abs/2405.06986 (2024) - [i69]Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR abs/2407.06645 (2024) - [i68]Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang:
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR abs/2407.10081 (2024) - [i67]Chuhan Wu, Ruiming Tang:
Performance Law of Large Language Models. CoRR abs/2408.09895 (2024) - [i66]Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen:
ToolACE: Winning the Points of LLM Function Calling. CoRR abs/2409.00920 (2024) - [i65]Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma:
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. CoRR abs/2410.05193 (2024) - [i64]Yuanqing Yu, Zhefan Wang, Weizhi Ma, Zhicheng Guo, Jingtao Zhan, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang:
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs. CoRR abs/2410.07745 (2024) - [i63]Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang:
Beyond Utility: Evaluating LLM as Recommender. CoRR abs/2411.00331 (2024) - [i62]Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen:
Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. CoRR abs/2412.00430 (2024) - [i61]Zhuo Wu, Qinglin Jia, Chuhan Wu, Zhaocheng Du, Shuai Wang, Zan Wang, Zhenhua Dong:
RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models. CoRR abs/2412.11068 (2024) - 2023
- [j14]Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yuesong Zhang, Shuai Yang, Jian Guan, Donghong Sun, Yongfeng Huang:
Semi-supervised named entity recognition in multi-level contexts. Neurocomputing 520: 194-204 (2023) - [j13]Haoliang Xiong, Zehao Yan, Chuhan Wu, Guojun Lu, Shiguan Pang, Yun Xue, Qianhua Cai:
BART-based contrastive and retrospective network for aspect-category-opinion-sentiment quadruple extraction. Int. J. Mach. Learn. Cybern. 14(9): 3243-3255 (2023) - [j12]Ke Ping, Shuxiao Li, Chuhan Wu, Zhenwen Ren:
Architecture Alternative Deep Multi-View Clustering. IEEE Signal Process. Lett. 30: 1547-1551 (2023) - [j11]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Personalized News Recommendation: Methods and Challenges. ACM Trans. Inf. Syst. 41(1): 24:1-24:50 (2023) - [c81]Zhengxuan Zhang, Weixing Mai, Haoliang Xiong, Chuhan Wu, Yun Xue:
A Token-wise Graph-based Framework for Multimodal Named Entity Recognition. ICME 2023: 2153-2158 - [c80]Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang:
Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. RecSys 2023: 1293-1294 - [c79]Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang:
Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. WWW (Companion Volume) 2023: 490-494 - [c78]Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha:
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW 2023: 3766-3774 - [i60]Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha:
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR abs/2303.08403 (2023) - [i59]Chuhan Wu, Jingjie Li, Qinglin Jia, Hong Zhu, Yuan Fang, Ruiming Tang:
Contrastive Multi-view Framework for Customer Lifetime Value Prediction. CoRR abs/2306.14400 (2023) - [i58]Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang:
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. CoRR abs/2312.10743 (2023) - 2022
- [j10]Yubo Chen, Chuhan Wu, Yongfeng Huang:
Enhancing structure modeling for relation extraction with fine-grained gating and co-attention. Neurocomputing 467: 282-291 (2022) - [j9]Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. ACM Trans. Intell. Syst. Technol. 13(4): 62:1-62:19 (2022) - [c77]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. ACL (2) 2022: 680-685 - [c76]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. ACL (Findings) 2022: 3474-3480 - [c75]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha:
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. ECCV (30) 2022: 691-707 - [c74]Chuhan Wu, Fangzhao Wu, Xiangnan He, Yongfeng Huang:
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. EMNLP (Findings) 2022: 2933-2938 - [c73]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie:
Effective and Efficient Query-aware Snippet Extraction for Web Search. EMNLP 2022: 3035-3046 - [c72]Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu:
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. EMNLP 2022: 5478-5489 - [c71]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022: 2509-2515 - [c70]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD 2022: 3398-3406 - [c69]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. KDD 2022: 4164-4172 - [c68]Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie:
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. NeurIPS 2022 - [c67]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR 2022: 1164-1173 - [c66]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. SIGIR 2022: 1917-1921 - [c65]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. SIGIR 2022: 1974-1978 - [c64]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
UserBERT: Pre-training User Model with Contrastive Self-supervision. SIGIR 2022: 2087-2092 - [c63]Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? SIGIR 2022: 2382-2386 - [c62]Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu:
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. SIGIR 2022: 2560-2564 - [c61]Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie:
FeedRec: News Feed Recommendation with Various User Feedbacks. WWW 2022: 2088-2097 - [i57]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. CoRR abs/2202.04975 (2022) - [i56]Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie:
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. CoRR abs/2202.05139 (2022) - [i55]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR abs/2202.08036 (2022) - [i54]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. CoRR abs/2202.12024 (2022) - [i53]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Quality-aware News Recommendation. CoRR abs/2202.13605 (2022) - [i52]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Are Big Recommendation Models Fair to Cold Users? CoRR abs/2202.13607 (2022) - [i51]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. CoRR abs/2204.00536 (2022) - [i50]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
End-to-end Learnable Diversity-aware News Recommendation. CoRR abs/2204.00539 (2022) - [i49]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. CoRR abs/2204.00541 (2022) - [i48]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Unified and Effective Ensemble Knowledge Distillation. CoRR abs/2204.00548 (2022) - [i47]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. CoRR abs/2204.04724 (2022) - [i46]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. CoRR abs/2204.04726 (2022) - [i45]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. CoRR abs/2204.04727 (2022) - [i44]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie:
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR abs/2204.08146 (2022) - [i43]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. CoRR abs/2204.09850 (2022) - [i42]Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie:
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. CoRR abs/2206.03200 (2022) - [i41]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha:
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR abs/2207.09158 (2022) - [i40]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie:
Effective and Efficient Query-aware Snippet Extraction for Web Search. CoRR abs/2210.08809 (2022) - 2021
- [j8]Kaiye Yu, Zhongliang Yang, Chuhan Wu, Yongfeng Huang, Xiaolei Xie:
In-hospital resource utilization prediction from electronic medical records with deep learning. Knowl. Based Syst. 223: 107052 (2021) - [c60]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021: 4462-4469 - [c59]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. ACL/IJCNLP (2) 2021: 848-853 - [c58]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. ACL/IJCNLP (Findings) 2021: 4408-4413 - [c57]Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang:
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. ACL/IJCNLP (1) 2021: 5446-5456 - [c56]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. ACL/IJCNLP (1) 2021: 5457-5467 - [c55]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. EMNLP (Findings) 2021: 1438-1448 - [c54]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie:
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. EMNLP (1) 2021: 2814-2824 - [c53]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu:
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. EMNLP (Findings) 2021: 3285-3295 - [c52]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. IJCAI 2021: 1624-1630 - [c51]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DA-Transformer: Distance-aware Transformer. NAACL-HLT 2021: 2059-2068 - [c50]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. SIGIR 2021: 61-70 - [c49]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. SIGIR 2021: 1652-1656 - [i39]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Negative Feedback. CoRR abs/2101.04328 (2021) - [i38]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu:
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. CoRR abs/2102.04887 (2021) - [i37]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FeedRec: News Feed Recommendation with Various User Feedbacks. CoRR abs/2102.04903 (2021) - [i36]Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie:
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. CoRR abs/2102.04925 (2021) - [i35]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Qifei Li, Guangzhong Sun, Xing Xie:
DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation. CoRR abs/2104.07360 (2021) - [i34]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. CoRR abs/2104.07404 (2021) - [i33]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
MM-Rec: Multimodal News Recommendation. CoRR abs/2104.07407 (2021) - [i32]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. CoRR abs/2104.07413 (2021) - [i31]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. CoRR abs/2104.10083 (2021) - [i30]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Rethinking InfoNCE: How Many Negative Samples Do You Need? CoRR abs/2105.13003 (2021) - [i29]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. CoRR abs/2106.01023 (2021) - [i28]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. CoRR abs/2106.01040 (2021) - [i27]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. CoRR abs/2106.01300 (2021) - [i26]Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang:
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. CoRR abs/2106.04408 (2021) - [i25]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. CoRR abs/2106.06258 (2021) - [i24]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Personalized News Recommendation: A Survey. CoRR abs/2106.08934 (2021) - [i23]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? CoRR abs/2108.08984 (2021) - [i22]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Fastformer: Additive Attention Can Be All You Need. CoRR abs/2108.09084 (2021) - [i21]Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang:
Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. CoRR abs/2108.09193 (2021) - [i20]Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR abs/2108.13323 (2021) - [i19]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie:
UserBERT: Contrastive User Model Pre-training. CoRR abs/2109.01274 (2021) - [i18]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. CoRR abs/2109.05236 (2021) - [i17]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie:
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. CoRR abs/2109.05446 (2021) - [i16]Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu:
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. CoRR abs/2112.00944 (2021) - 2020
- [j7]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Neural news recommendation with negative feedback. CCF Trans. Pervasive Comput. Interact. 2(3): 178-188 (2020) - [j6]Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie:
Detecting Entities of Works for Chinese Chatbot. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(6): 88:1-88:13 (2020) - [c48]Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui, Yongfeng Huang:
Attentive Pooling with Learnable Norms for Text Representation. ACL 2020: 2961-2970 - [c47]Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou:
MIND: A Large-scale Dataset for News Recommendation. ACL 2020: 3597-3606 - [c46]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Named Entity Recognition with Context-Aware Dictionary Knowledge. CNCL 2020: 129-143 - [c45]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Clickbait Detection with Style-Aware Title Modeling and Co-attention. CNCL 2020: 430-443 - [c44]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Learning. EMNLP (Findings) 2020: 1423-1432 - [c43]Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie:
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. EMNLP (Findings) 2020: 1939-1944 - [c42]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
User Modeling with Click Preference and Reading Satisfaction for News Recommendation. IJCAI 2020: 3023-3029 - [c41]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
SentiRec: Sentiment Diversity-aware Neural News Recommendation. AACL/IJCNLP 2020: 44-53 - [c40]Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yongfeng Huang:
Named Entity Recognition in Multi-level Contexts. AACL/IJCNLP 2020: 181-190 - [c39]Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Graph Enhanced Representation Learning for News Recommendation. WWW 2020: 2863-2869 - [i15]Suyu Ge, Fangzhao Wu, Chuhan Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning. CoRR abs/2003.09288 (2020) - [i14]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Training via Federated Learning. CoRR abs/2003.09592 (2020) - [i13]Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Graph Enhanced Representation Learning for News Recommendation. CoRR abs/2003.14292 (2020) - [i12]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. CoRR abs/2006.16742 (2020) - [i11]Chuhan Wu, Fangzhao Wu, Tao Di, Yongfeng Huang, Xing Xie:
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data. CoRR abs/2007.12135 (2020) - [i10]Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie:
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. CoRR abs/2010.01494 (2020) - [i9]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Improving Attention Mechanism with Query-Value Interaction. CoRR abs/2010.03766 (2020) - [i8]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DA-Transformer: Distance-aware Transformer. CoRR abs/2010.06925 (2020)
2010 – 2019
- 2019
- [j5]Suyu Ge, Tao Qi, Chuhan Wu, Fangzhao Wu, Xing Xie, Yongfeng Huang:
Helpfulness-aware review based neural recommendation. CCF Trans. Pervasive Comput. Interact. 1(4): 285-295 (2019) - [j4]Sixing Wu, Fangzhao Wu, Yue Chang, Chuhan Wu, Yongfeng Huang:
Automatic construction of target-specific sentiment lexicon. Expert Syst. Appl. 116: 285-298 (2019) - [j3]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese word segmentation with dictionary. Neurocomputing 338: 46-54 (2019) - [j2]Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang:
Semi-supervised dimensional sentiment analysis with variational autoencoder. Knowl. Based Syst. 165: 30-39 (2019) - [c38]Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie:
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. AAAI 2019: 1270-1277 - [c37]Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie:
Neural News Recommendation with Long- and Short-term User Representations. ACL (1) 2019: 336-345 - [c36]Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Topic-Aware News Representation. ACL (1) 2019: 1154-1159 - [c35]Tao Qi, Chuhan Wu, Fangzhao Wu, Suyu Ge, Junxin Liu, Yongfeng Huang, Xing Xie:
Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention. CCKS 2019: 98-110 - [c34]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
Sentiment Lexicon Enhanced Neural Sentiment Classification. CIKM 2019: 1091-1100 - [c33]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
ARP: Aspect-aware Neural Review Rating Prediction. CIKM 2019: 2169-2172 - [c32]Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Review Rating Prediction with User and Product Memory. CIKM 2019: 2341-2344 - [c31]Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie:
Neural Gender Prediction in Microblogging with Emotion-aware User Representation. CIKM 2019: 2401-2404 - [c30]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
NICE: Neural In-Hospital Cost Estimation from Medical Records. CIKM 2019: 2409-2412 - [c29]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Title-Aware Neural News Topic Prediction. CCL 2019: 181-193 - [c28]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Neural Gender Prediction from News Browsing Data. CCL 2019: 664-676 - [c27]Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Heterogeneous User Behavior. EMNLP/IJCNLP (1) 2019: 4873-4882 - [c26]Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie:
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. EMNLP/IJCNLP (1) 2019: 4883-4892 - [c25]Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Multi-Head Self-Attention. EMNLP/IJCNLP (1) 2019: 6388-6393 - [c24]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Attentive Multi-View Learning. IJCAI 2019: 3863-3869 - [c23]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
NPA: Neural News Recommendation with Personalized Attention. KDD 2019: 2576-2584 - [c22]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang:
Hierarchical User and Item Representation with Three-Tier Attention for Recommendation. NAACL-HLT (1) 2019: 1818-1826 - [c21]Suyu Ge, Tao Qi, Chuhan Wu, Yongfeng Huang:
THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN. SemEval@NAACL-HLT 2019: 340-344 - [c20]Tao Qi, Suyu Ge, Chuhan Wu, Yubo Chen, Yongfeng Huang:
THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers. SemEval@NAACL-HLT 2019: 1302-1307 - [c19]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. SIGIR 2019: 1233-1236 - [c18]Suyu Ge, Tao Qi, Chuhan Wu, Yongfeng Huang:
Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention. SMM4H@ACL 2019: 96-98 - [c17]Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie:
MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention. WSDM 2019: 33-41 - [c16]Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie:
Neural Demographic Prediction using Search Query. WSDM 2019: 654-662 - [c15]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. WWW 2019: 3013-3019 - [c14]Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. WWW 2019: 3342-3348 - [i7]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. CoRR abs/1905.01963 (2019) - [i6]Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. CoRR abs/1905.01964 (2019) - [i5]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. CoRR abs/1905.12480 (2019) - [i4]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
NPA: Neural News Recommendation with Personalized Attention. CoRR abs/1907.05559 (2019) - [i3]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Attentive Multi-View Learning. CoRR abs/1907.05576 (2019) - [i2]Zhiwen Hu, Chuhan Wu, Zhongliang Yang, Yongfeng Huang:
Legends of Nature and Editors-in-chief. CoRR abs/1910.11208 (2019) - 2018
- [j1]Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang:
A hybrid unsupervised method for aspect term and opinion target extraction. Knowl. Based Syst. 148: 66-73 (2018) - [c13]Chuhan Wu, Fangzhao Wu, Yubo Chen, Sixing Wu, Zhigang Yuan, Yongfeng Huang:
Neural Metaphor Detecting with CNN-LSTM Model. Fig-Lang@NAACL-HLT 2018: 110-114 - [c12]Fangzhao Wu, Chuhan Wu, Junxin Liu:
Imbalanced Sentiment Classification with Multi-Task Learning. CIKM 2018: 1631-1634 - [c11]Fangzhao Wu, Chuhan Wu, Junxin Liu:
Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging. CIKM 2018: 1791-1794 - [c10]Chuhan Wu, Fangzhao Wu, Sixing Wu, Yongfeng Huang, Xing Xie:
Tweet Emoji Prediction Using Hierarchical Model with Attention. UbiComp/ISWC Adjunct 2018: 1337-1344 - [c9]Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision. ICDM 2018: 1410-1415 - [c8]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Dictionary Knowledge. NLPCC (2) 2018: 80-91 - [c7]Yubo Chen, Hongtao Liu, Chuhan Wu, Zhigang Yuan, Minyu Jiang, Yongfeng Huang:
Distant Supervision for Relation Extraction with Neural Instance Selector. NLPCC (1) 2018: 209-220 - [c6]Chuhan Wu, Fangzhao Wu, Sixing Wu, Junxin Liu, Zhigang Yuan, Yongfeng Huang:
THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning. SemEval@NAACL-HLT 2018: 51-56 - [c5]Chuhan Wu, Fangzhao Wu, Junxin Liu, Zhigang Yuan, Sixing Wu, Yongfeng Huang:
THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM. SemEval@NAACL-HLT 2018: 186-192 - [c4]Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang:
THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction. SemEval@NAACL-HLT 2018: 410-414 - [c3]Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang:
THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model. SemEval@NAACL-HLT 2018: 958-962 - [c2]Chuhan Wu, Fangzhao Wu, Junxin Liu, Sixing Wu, Yongfeng Huang, Xing Xie:
Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention. SMM4H@EMNLP 2018: 34-37 - [i1]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Dictionary Knowledge. CoRR abs/1807.05849 (2018) - 2017
- [c1]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Sixing Wu, Zhigang Yuan:
THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM. IJCNLP (Shared Tasks) 2017: 47-52
Coauthor Index
[j14] [j11] [j10] [j9] [c77] [c76] [c74] [c71] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [i57] [i56] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i43] [i42] [j8] [c60] [c59] [c58] [c57] [c56] [c55] [c53] [c52] [c51] [c50] [c49] [i39] [i38] [i37] [i36] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [j7] [j6] [c48] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [j5] [j4] [j3] [j2] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c18] [c17] [c16] [c15] [c14] [i7] [i6] [i4] [i3] [i2] [j1] [c13] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [i1] [c1]
[i72] [j14] [c77] [c76] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [i57] [i56] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i43] [i42] [c59] [c57] [c56] [c55] [c53] [c50] [c49] [i38] [i37] [i34] [i33] [i32] [i31] [i28] [i27] [i26] [i23] [i22] [i21] [i19] [i18] [i16] [j6] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i15] [i14] [i13] [i10] [i9] [j5] [c35] [c31] [c29] [c28] [c27] [c26] [c25] [c21] [c20] [c18]
[j11] [c78] [i60] [j9] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [j7] [j6] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c39] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [j5] [j4] [j3] [j2] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c19] [c17] [c16] [c15] [c14] [i7] [i6] [i5] [i4] [i3] [j1] [c13] [c12] [c11] [c10] [c9] [c8] [c6] [c5] [c4] [c3] [c2] [i1] [c1]
[j11] [c78] [i60] [j9] [c75] [c73] [c70] [c69] [c68] [c67] [c61] [i57] [i56] [i55] [i54] [i47] [i44] [i43] [i42] [i41] [i40] [c60] [c57] [c55] [c54] [c52] [i39] [i36] [i35] [i26] [i22] [i20] [i19] [i18] [i17] [j7] [j6] [c47] [c44] [c43] [i15] [i14] [i12] [i11] [i10] [j5] [j3] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c19] [c17] [c16] [c15] [c14] [i7] [i6] [i5] [i4] [i3] [c10] [c9] [c8] [c2] [i1]
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