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2020 – today
- 2024
[j32]Weixiang Hong
, Wang Ren, Jiangwei Lao, Lele Xie, Liheng Zhong, Jian Wang, Jingdong Chen, Honghai Liu, Wei Chu:
Training Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer. Int. J. Comput. Vis. 132(8): 2929-2942 (2024)- [j31]Delun Shi, Guangjun Dong, Enbo Chen, Ming Dai, Ni Xiao, Yi Zhang, Wei Chu:
Optimization of Storage Paths for Finished Cigarette Logistics Distribution Based on Improved GA-A. Informatica (Slovenia) 48(18) (2024) - [j30]Bayi Cheng, Junwei Gao, Mi Zhou, Wei Chu:
Integrated scheduling of production and distribution with two competing agents. J. Oper. Res. Soc. 75(9): 1826-1836 (2024) - [j29]Xingning Dong, Qingpei Guo, Tian Gan, Qing Wang, Jianlong Wu, Xiangyuan Ren, Yuan Cheng, Wei Chu:
SNP-S3: Shared Network Pre-Training and Significant Semantic Strengthening for Various Video-Text Tasks. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2525-2535 (2024) - [c111]Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu:
Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence. ECAI 2024: 2870-2877 - [c110]Meng Cao, Philip I. Pavlik Jr., Wei Chu, Liang Zhang:
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Train-ing Sequences on Category Learning. EDM 2024 - [c109]Philip I. Pavlik Jr., Luke G. Eglington, Meng Cao, Wei Chu:
Logistic Knowledge Tracing Tutorial: Practical Educational Applications. EDM 2024 - [c108]Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. EMNLP (Industry Track) 2024: 755-762 - [c107]Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu:
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. ICLR 2024 - [c106]Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. KDD 2024: 5762-5772 - [c105]Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. SIGIR 2024: 2384-2389 - [i52]Xuzheng Yu, Chen Jiang, Wei Zhang, Tian Gan, Linlin Chao, Jianan Zhao, Yuan Cheng, Qingpei Guo, Wei Chu:
Knowledge-enhanced Multi-perspective Video Representation Learning for Scene Recognition. CoRR abs/2401.04354 (2024) - [i51]Xingning Dong, Qingpei Guo, Tian Gan, Qing Wang, Jianlong Wu, Xiangyuan Ren, Yuan Cheng, Wei Chu:
SNP-S3: Shared Network Pre-training and Significant Semantic Strengthening for Various Video-Text Tasks. CoRR abs/2401.17773 (2024) - [i50]Rui Xu, Dakuan Lu, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Wei Chu, Yinghui Xu:
MINDECHO: Role-Playing Language Agents for Key Opinion Leaders. CoRR abs/2407.05305 (2024) - [i49]Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi:
Struct-X: Enhancing Large Language Models Reasoning with Structured Data. CoRR abs/2407.12522 (2024) - [i48]Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi:
Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. CoRR abs/2407.12532 (2024) - [i47]Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi:
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. CoRR abs/2407.14562 (2024) - [i46]Meng Cao, Philip I. Pavlik Jr., Wei Chu, Liang Zhang:
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning. CoRR abs/2407.15020 (2024) - [i45]Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu:
Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence. CoRR abs/2407.17164 (2024) - [i44]Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Jing Pan, Jue Chen, Zhijun Fang, Yinghui Xu, Wei Chu, Yuan Qi:
Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory. CoRR abs/2408.10608 (2024) - [i43]Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu:
CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. CoRR abs/2409.03381 (2024) - [i42]Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Wei Chu, Yinghui Xu:
LMGT: Optimizing Exploration-Exploitation Balance in Reinforcement Learning through Language Model Guided Trade-offs. CoRR abs/2409.04744 (2024) - 2023
- [j28]Lu Wang, Zhenxia Zhang, Zeren Zhima, Xuhui Shen, Wei Chu, Rui Yan, Feng Guo, Na Zhou, Huaran Chen, Daihui Wei:
Statistical Analysis of High-Energy Particle Perturbations in the Radiation Belts Related to Strong Earthquakes Based on the CSES Observations. Remote. Sens. 15(20): 5030 (2023) - [j27]Ruchao Fan, Wei Chu, Peng Chang, Abeer Alwan:
A CTC Alignment-Based Non-Autoregressive Transformer for End-to-End Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1436-1448 (2023) - [c104]Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu:
DC-Former: Diverse and Compact Transformer for Person Re-identification. AAAI 2023: 1415-1423 - [c103]Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu:
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks. AAAI 2023: 11254-11261 - [c102]Jiangwei Lao, Weixiang Hong, Xin Guo, Yingying Zhang, Jian Wang, Jingdong Chen, Wei Chu:
Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation. CVPR 2023: 14763-14772 - [c101]Tan Pan, Furong Xu, Xudong Yang, Sifeng He, Chen Jiang, Qingpei Guo, Feng Qian, Xiaobo Zhang, Yuan Cheng, Lei Yang, Wei Chu:
Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval. CVPR 2023: 15201-15210 - [c100]Wei Chu, Philip I. Pavlik Jr.:
The Predictiveness of PFA is Improved by Incorporating the Learner's Correct Response Time Fluctuation. EDM 2023 - [c99]Fengyun Tan, Chaofeng Feng, Tao Wei, Shuai Gong, Jinqiang Leng, Wei Chu, Jun Ma, Shaojun Wang, Jing Xiao:
Improving End-to-End Modeling For Mandarin-English Code-Switching Using Lightweight Switch-Routing Mixture-of-Experts. INTERSPEECH 2023: 4224-4228 - [c98]Jingwei Wang, Jianshan He, Weidi Xu, Ruopeng Li, Wei Chu:
Learning to Discover Various Simpson's Paradoxes. KDD 2023: 5092-5103 - [c97]Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi:
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning. ACM Multimedia 2023: 4626-4636 - [c96]Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, Wei Chu:
Spatio-Temporal Hypergraph Learning for Next POI Recommendation. SIGIR 2023: 403-412 - [c95]James Y. Zhang, Zhi Li, Hao Fang, Jun Wu, Zhongnan Shen, Jing Zheng, Wei Chu, Weiping Duan, Peng Xu:
China's First Natural Language-based AI ChatBot Trader. WWW (Companion Volume) 2023: 1253-1256 - [i41]Zhixuan Chu, Jianmin Huang, Ruopeng Li, Wei Chu, Sheng Li:
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities. CoRR abs/2302.00848 (2023) - [i40]Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu:
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks. CoRR abs/2302.05083 (2023) - [i39]Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu:
DC-Former: Diverse and Compact Transformer for Person Re-Identification. CoRR abs/2302.14335 (2023) - [i38]Ruchao Fan, Wei Chu, Peng Chang, Abeer Alwan:
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition. CoRR abs/2304.07611 (2023) - [i37]Tan Pan, Furong Xu, Xudong Yang, Sifeng He, Chen Jiang, Qingpei Guo, Feng Qian, Xiaobo Zhang, Yuan Cheng, Lei Yang, Wei Chu:
Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval. CoRR abs/2305.02610 (2023) - [i36]Qingpei Guo, Kaisheng Yao, Wei Chu:
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input. CoRR abs/2306.14182 (2023) - [i35]Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi:
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning. CoRR abs/2309.11082 (2023) - [i34]Chen Jiang, Kaiming Huang, Sifeng He, Xudong Yang, Wei Zhang, Xiaobo Zhang, Yuan Cheng, Lei Yang, Qing Wang, Furong Xu, Tan Pan, Wei Chu:
Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval. CoRR abs/2309.11091 (2023) - [i33]Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu:
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. CoRR abs/2309.15458 (2023) - [i32]Qiang Zhou, Zhibin Wang, Wei Chu, Yinghui Xu, Hao Li, Yuan Qi:
InfMLLM: A Unified Framework for Visual-Language Tasks. CoRR abs/2311.06791 (2023) - 2022
- [j26]Zeren Zhima, Rui Yan, Jian Lin, Qiao Wang, Yanyan Yang, Fangxian Lv, Jianping Huang, Jing Cui, Qinqin Liu, Shufan Zhao, Zhenxia Zhang, Song Xu, Dapeng Liu, Wei Chu, Keying Zhu, Xiaoying Sun, Hengxin Lu, Feng Guo, Qiao Tan, Na Zhou, Dehe Yang, He Huang, Jie Wang, Xuhui Shen:
The Possible Seismo-Ionospheric Perturbations Recorded by the China-Seismo-Electromagnetic Satellite. Remote. Sens. 14(4): 905 (2022) - [j25]Ting-Ting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling:
CBNet: A Composite Backbone Network Architecture for Object Detection. IEEE Trans. Image Process. 31: 6893-6906 (2022) - [c94]Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma:
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. AAAI 2022: 989-997 - [c93]Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui:
Width & Depth Pruning for Vision Transformers. AAAI 2022: 3143-3151 - [c92]Mingzhe Li, Xiexiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan:
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. ACL (1) 2022: 4432-4441 - [c91]Weixiang Hong, Jiangwei Lao, Wang Ren, Jian Wang, Jingdong Chen, Wei Chu:
Training Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer. CVPR 2022: 4652-4661 - [c90]Qingpei Guo, Kaisheng Yao, Wei Chu:
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input. ECCV (36) 2022: 330-346 - [c89]Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu:
Extracting Trigger-sharing Events via an Event Matrix. EMNLP (Findings) 2022: 1189-1201 - [c88]Zongfeng Quan, Nick J. C. Wang, Wei Chu, Tao Wei, Shaojun Wang, Jing Xiao:
FFM: A Frame Filtering Mechanism To Accelerate Inference Speed For Conformer In Speech Recognition. INTERSPEECH 2022: 3153-3157 - [c87]Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu:
ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation. SIGIR 2022: 363-372 - [c86]Kaixiang Ji, Jiajia Liu, Weixiang Hong, Liheng Zhong, Jian Wang, Jingdong Chen, Wei Chu:
CRET: Cross-Modal Retrieval Transformer for Efficient Text-Video Retrieval. SIGIR 2022: 949-959 - [i31]Xiaojie Chu, Yongtao Wang, Chunhua Shen, Jingdong Chen, Wei Chu:
Training Protocol Matters: Towards Accurate Scene Text Recognition via Training Protocol Searching. CoRR abs/2203.06696 (2022) - [i30]Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu:
ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation. CoRR abs/2204.05125 (2022) - [i29]Linlin Chao, Taifeng Wang, Wei Chu:
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning. CoRR abs/2204.13957 (2022) - [i28]Mingzhe Li, Xiexiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan:
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. CoRR abs/2205.13346 (2022) - 2021
- [j24]Wei Chu, Shi-Yu Huang:
Online Safety Checking for Delay Locked Loops via Embedded Phase Error Monitor. IEEE Trans. Emerg. Top. Comput. 9(2): 735-744 (2021) - [j23]Wei Chu, Yun-Qing Liu, Xiaolong Li, Yue Zhao, Qiong Zhang, Fei Yan:
Improving Target Detection Ability Based on Time Invariant and Dot-Shape Beamforming in TMRC-FDA-MIMO Radar. Wirel. Pers. Commun. 119(1): 845-863 (2021) - [c85]Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu:
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. ACL/IJCNLP (1) 2021: 4360-4369 - [c84]Furong Xu, Meng Wang, Wei Zhang, Yuan Cheng, Wei Chu:
Discrimination-Aware Mechanism for Fine-Grained Representation Learning. CVPR 2021: 813-822 - [c83]Weixiang Hong, Qingpei Guo, Wei Zhang, Jingdong Chen, Wei Chu:
LPSNet: A Lightweight Solution for Fast Panoptic Segmentation. CVPR 2021: 16746-16754 - [c82]Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao:
CASS-NAT: CTC Alignment-Based Single Step Non-Autoregressive Transformer for Speech Recognition. ICASSP 2021: 5889-5893 - [c81]Jinhan Wang, Yunzheng Zhu, Ruchao Fan, Wei Chu, Abeer Alwan:
Low Resource German ASR with Untranscribed Data Spoken by Non-Native Children - INTERSPEECH 2021 Shared Task SPAPL System. Interspeech 2021: 1279-1283 - [c80]Wei Chu, Peng Chang, Jing Xiao:
Extending Pronunciation Dictionary with Automatically Detected Word Mispronunciations to Improve PAII's System for Interspeech 2021 Non-Native Child English Close Track ASR Challenge. Interspeech 2021: 1319-1323 - [c79]Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao, Abeer Alwan:
An Improved Single Step Non-Autoregressive Transformer for Automatic Speech Recognition. Interspeech 2021: 3715-3719 - [c78]Chen Jiang, Kaiming Huang, Sifeng He, Xudong Yang, Wei Zhang, Xiaobo Zhang, Yuan Cheng, Lei Yang, Qing Wang, Furong Xu, Tan Pan, Wei Chu:
Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval. ACM Multimedia 2021: 1618-1626 - [c77]Weixiang Hong, Kaixiang Ji, Jiajia Liu, Jian Wang, Jingdong Chen, Wei Chu:
GilBERT: Generative Vision-Language Pre-Training for Image-Text Retrieval. SIGIR 2021: 1379-1388 - [i27]Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma:
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. CoRR abs/2105.10872 (2021) - [i26]Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao, Abeer Alwan:
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition. CoRR abs/2106.09885 (2021) - [i25]Jinhan Wang, Yunzheng Zhu, Ruchao Fan, Wei Chu, Abeer Alwan:
Low Resource German ASR with Untranscribed Data Spoken by Non-native Children - INTERSPEECH 2021 Shared Task SPAPL System. CoRR abs/2106.09963 (2021) - [i24]Tingting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling:
CBNetV2: A Composite Backbone Network Architecture for Object Detection. CoRR abs/2107.00420 (2021) - 2020
- [j22]Wei Chu, Abdul Hameed Pitafi, Shamsa Kanwal, Ahsan Ali, Ming-Lun Ren:
Improving Employee Agility Using Enterprise Social Media and Digital Fluency: Moderated Mediation Model. IEEE Access 8: 68799-68810 (2020) - [j21]Wei Chu, Yun-Qing Liu, Xiaolong Li, Yue Zhao, Qiong Zhang, Fei Yan:
Optimization of Emission Waveform by Accelerated Particle Swarm Algorithm Based on Logarithmic Frequency Offset Mathematical Model. Wirel. Pers. Commun. 113(1): 167-187 (2020) - [c76]Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu:
Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors. AAAI 2020: 13646-13647 - [c75]Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang, Wei Chu:
Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy. ACL 2020: 41-52 - [c74]Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi:
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. ACL 2020: 871-881 - [c73]Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu:
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. COLING 2020: 2062-2072 - [c72]Linlin Chao, Jingdong Chen, Wei Chu:
Variational Connectionist Temporal Classification. ECCV (28) 2020: 460-476 - [c71]Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu:
Question Directed Graph Attention Network for Numerical Reasoning over Text. EMNLP (1) 2020: 6759-6768 - [c70]Wei Chu, Wei-Hao Chen, Shi-Yu Huang:
Duty-Cycle Correction For A Super-Wide Frequency Range from 10MHz to 1.2GHz. ICCD 2020: 457-460 - [c69]Wei Chu, Yang Liu, Jianwei Zhou:
Recognize Mispronunciations to Improve Non-Native Acoustic Modeling Through a Phone Decoder Built from One Edit Distance Finite State Automaton. INTERSPEECH 2020: 3062-3066 - [c68]Furong Xu, Wei Zhang, Yuan Cheng, Wei Chu:
Metric Learning with Equidistant and Equidistributed Triplet-based Loss for Product Image Search. WWW 2020: 57-65 - [i23]Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song:
Intention Propagation for Multi-agent Reinforcement Learning. CoRR abs/2004.08883 (2020) - [i22]Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi:
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. CoRR abs/2004.14166 (2020) - [i21]Shijun Wang, Baocheng Zhu, Chen Li, Mingzhe Wu, James Zhang, Wei Chu, Yuan Qi:
Riemannian Proximal Policy Optimization. CoRR abs/2005.09195 (2020) - [i20]Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu:
Question Directed Graph Attention Network for Numerical Reasoning over Text. CoRR abs/2009.07448 (2020) - [i19]Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao:
CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition. CoRR abs/2010.14725 (2020) - [i18]Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu:
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. CoRR abs/2011.03798 (2020)
2010 – 2019
- 2019
- [j20]Zheng-Hong Zhang, Wei Chu, Shi-Yu Huang:
A Ping-Pong Methodology for Boosting the Resilience of Cell-Based Delay-Locked Loop. IEEE Access 7: 97928-97937 (2019) - [j19]Minglun Ren, Yueli Song, Wei Chu:
An Improved Locally Weighted PLS Based on Particle Swarm Optimization for Industrial Soft Sensor Modeling. Sensors 19(19): 4099 (2019) - [c67]Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
Latent Dirichlet Allocation for Internet Price War. AAAI 2019: 639-646 - [c66]Xingyi Cheng, Weidi Xu, Taifeng Wang, Wei Chu, Weipeng Huang, Kunlong Chen, Junfeng Hu:
Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer. CoNLL 2019: 961-969 - [c65]Zheng-Hong Zhang, Wei Chu, Shi-Yu Huang:
The Ping-Pong Tunable Delay Line In A Super-Resilient Delay-Locked Loop. DAC 2019: 231 - [c64]Yichao Zhou, Wei Chu, Sam Young, Xin Chen:
BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition Machine. ISMIR 2019: 655-662 - [c63]Wei Chu, Shi-Yu Huang:
Overall Strategy for Online Clock System Checking Supporting Heterogeneous Integration. ITC 2019: 1-10 - [c62]Wei Chu, Shi-Yu Huang:
Online Testing of Clock Delay Faults in a Clock Network. ITC-Asia 2019: 163-168 - [c61]Xin Chen, Wei Chu, Jinxi Guo, Ning Xu:
Singing Voice Conversion with Non-parallel Data. MIPR 2019: 292-296 - [c60]Wei Chu, Shi-Yu Huang:
A Cell-Based Wide-Frequency-Range DLL Supporting Fast Frequency Scaling. NEWCAS 2019: 1-4 - [c59]Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu:
BERT-Based Multi-head Selection for Joint Entity-Relation Extraction. NLPCC (2) 2019: 713-723 - [i17]Xin Chen, Wei Chu, Jinxi Guo, Ning Xu:
Singing voice conversion with non-parallel data. CoRR abs/1903.04124 (2019) - [i16]Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu:
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. CoRR abs/1903.04190 (2019) - [i15]Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu:
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction. CoRR abs/1908.05908 (2019) - [i14]Xingyi Cheng, Weidi Xu, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang:
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. CoRR abs/1909.03405 (2019) - 2018
- [c58]Xin Chen, Chen Cao, Zehao Xue, Wei Chu:
Joint Audio-Video Driven Facial Animation. ICASSP 2018: 3046-3050 - [c57]Wanchen Sui, Qing Zhang, Jun Yang, Wei Chu:
A Novel Integrated Framework for Learning both Text Detection and Recognition. ICPR 2018: 2233-2238 - [c56]Zhangyu Xiao, Zhijian Ou, Wei Chu, Hui Lin:
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units. ISCSLP 2018: 146-150 - [c55]Tong Yin, Xiaotie Deng, Yuan Qi, Wei Chu, Jing Pan, Xiang Yan, Junwu Xiong:
Personalized Behavior Prediction with Encoder-to-Decoder Structure. NAS 2018: 1-10 - [c54]Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen:
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. WSDM 2018: 682-690 - [i13]Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu:
AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience. CoRR abs/1801.05032 (2018) - [i12]Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin, Wei Chu:
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection. CoRR abs/1805.01167 (2018) - [i11]Zhangyu Xiao, Zhijian Ou, Wei Chu, Hui Lin:
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units. CoRR abs/1807.04978 (2018) - [i10]Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
Latent Dirichlet Allocation for Internet Price War. CoRR abs/1808.07621 (2018) - [i9]Wanchen Sui, Qing Zhang, Jun Yang, Wei Chu:
A Novel Integrated Framework for Learning both Text Detection and Recognition. CoRR abs/1811.08611 (2018) - [i8]Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
A Policy Gradient Method with Variance Reduction for Uplift Modeling. CoRR abs/1811.10158 (2018) - [i7]Yichao Zhou, Wei Chu, Sam Young, Xin Chen:
BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition Machine. CoRR abs/1812.07126 (2018) - 2017
- [c53]Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, Wei Chu:
AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine. ACL (2) 2017: 498-503 - [c52]Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu:
AliMe Assist : An Intelligent Assistant for Creating an Innovative E-commerce Experience. CIKM 2017: 2495-2498 - [c51]Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu:
A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks. ICDM 2017: 395-404 - [i6]Xu Hu, Jun Huang, Minghui Qiu, Cen Chen, Wei Chu:
PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI). CoRR abs/1711.01034 (2017) - [i5]Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen:
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. CoRR abs/1711.08726 (2017) - 2016
- [j18]Xiaolong Li, Yunqing Liu, Shuang Zhao, Wei Chu:
A Modified Regularized Adaptive Matching Pursuit Algorithm for Linear Frequency Modulated Signal Detection Based on Compressive Sensing. J. Commun. 11(4): 402-410 (2016) - [j17]Xiaolong Li, Yunqing Liu, Shuang Zhao, Wei Chu:
Parameter Estimation of LFM Signal Based on Bayesian Compressive Sensing via Fractional Fourier Transform. J. Commun. 11(7): 693-701 (2016) - [c50]Wei Chu, Ruxin Chen:
Speaker cluster-based speaker adaptive training for deep neural network acoustic modeling. ICASSP 2016: 5295-5299 - [i4]Wei Chu, Ruxin Chen:
Speaker Cluster-Based Speaker Adaptive Training for Deep Neural Network Acoustic Modeling. CoRR abs/1604.06113 (2016) - 2015
- [c49]Hongwu Qin, Haixin Sun, Wei Chu, Mengcong Duan:
Structural Health Monitoring WTB Using the Effectiveness of Graphical Programming Packages Analysis on Acoustic Emission Data. BDCloud 2015: 207-212 - [c48]Bin Bi, Hao Ma, Bo-June Paul Hsu, Wei Chu, Kuansan Wang, Junghoo Cho:
Learning to Recommend Related Entities to Search Users. WSDM 2015: 139-148 - 2014
- [j16]Yanjun Gan, Qingyun Duan, Wei Gong, Charles H. Tong, Yunwei Sun, Wei Chu, Aizhong Ye, Chiyuan Miao, Zhenhua Di:
A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model. Environ. Model. Softw. 51: 269-285 (2014) - [c47]Jinyun Yan, Wei Chu, Ryen W. White:
Cohort modeling for enhanced personalized search. SIGIR 2014: 505-514 - 2013
- [c46]Yingni Zhai, Zhaoyang Dong, Wei Chu, Changjun Liu:
Decomposition-based scheduling algorithm for large-scale job shop. ICIA 2013: 124-127 - [c45]Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen W. White, Wei Chu:
Personalized ranking model adaptation for web search. SIGIR 2013: 323-332 - [c44]Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu:
Learning to extract cross-session search tasks. WWW 2013: 1353-1364 - [c43]Ryen W. White, Wei Chu, Ahmed Hassan Awadallah, Xiaodong He, Yang Song, Hongning Wang:
Enhancing personalized search by mining and modeling task behavior. WWW 2013: 1411-1420 - 2012
- [j15]Jie Ying Gao, Cheng Hua Zhang, Mei Ming Luo, Chan Kyung Kim, Wei Chu, Ying Xue:
Mechanism for the reaction of 2-naphthol with N-methyl-N-phenyl-hydrazine suggested by the density functional theory investigations. J. Comput. Chem. 33(2): 220-230 (2012) - [j14]Wei Chu, Abeer Alwan:
SAFE: A Statistical Approach to F0 Estimation Under Clean and Noisy Conditions. IEEE Trans. Speech Audio Process. 20(3): 933-944 (2012) - [j13]Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang:
An Online Learning Framework for Refining Recency Search Results with User Click Feedback. ACM Trans. Inf. Syst. 30(4): 20:1-20:28 (2012) - [c42]Wei Chu, Xing E. Yan:
A Method of Integrating Simulation with C2 System. AsiaSim (1) 2012: 389-396 - [c41]Wei Chu, Abeer Alwan:
FBEM: A filter bank EM algorithm for the joint optimization of features and acoustic model parameters in bird call classification. ICASSP 2012: 1993-1996 - [c40]Paul N. Bennett, Ryen W. White, Wei Chu, Susan T. Dumais, Peter Bailey, Fedor Borisyuk, Xiaoyuan Cui:
Modeling the impact of short- and long-term behavior on search personalization. SIGIR 2012: 185-194 - [c39]Lihong Li, Wei Chu, John Langford, Taesup Moon, Xuanhui Wang:
Bandits with Generalized Linear Models. ICML On-line Trading of Exploration and Exploitation 2012: 19-36 - 2011
- [j12]Wei Chu, Xiaogang Gao, Soroosh Sorooshian:
Handling boundary constraints for particle swarm optimization in high-dimensional search space. Inf. Sci. 181(20): 4569-4581 (2011) - [j11]Wei Chu, Xiaogang Gao, Soroosh Sorooshian:
A new evolutionary search strategy for global optimization of high-dimensional problems. Inf. Sci. 181(22): 4909-4927 (2011) - [j10]Wei Chu, Xiaogang Gao, Soroosh Sorooshian:
A Solution to the Crucial Problem of Population Degeneration in High-Dimensional Evolutionary Optimization. IEEE Syst. J. 5(3): 362-373 (2011) - [c38]John W. McDonough, Wei Chu, Ken'ichi Kumatani, Bhiksha Raj, Jill Fain Lehman:
An information filter for voice prompt suppression. ACSCC 2011: 321-325 - [c37]Wei Chu, Xiaogang Gao, Soroosh Sorooshian:
Fortify particle swam optimizer (PSO) with principal components analysis: A case study in improving bound-handling for optimizing high-dimensional and complex problems. IEEE Congress on Evolutionary Computation 2011: 1644-1648 - [c36]Liang Zhang, Jie Yang, Wei Chu, Belle L. Tseng:
A machine-learned proactive moderation system for auction fraud detection. CIKM 2011: 2501-2504 - [c35]Wei Chu, Daniel T. Blumstein:
Noise robust bird song detection using syllable pattern-based hidden Markov models. ICASSP 2011: 345-348 - [c34]Wei Chu, Martin Zinkevich, Lihong Li, Achint Thomas, Belle L. Tseng:
Unbiased online active learning in data streams. KDD 2011: 195-203 - [c33]Lihong Li, Wei Chu, John Langford, Xuanhui Wang:
Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms. WSDM 2011: 297-306 - [c32]Wei Chu, Lihong Li, Lev Reyzin, Robert E. Schapire:
Contextual Bandits with Linear Payoff Functions. AISTATS 2011: 208-214 - [i3]Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang:
Refining Recency Search Results with User Click Feedback. CoRR abs/1103.3735 (2011) - 2010
- [c31]Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohui Zheng, Yi Chang:
Online learning for recency search ranking using real-time user feedback. CIKM 2010: 1501-1504 - [c30]Wei Chu, Abeer Alwan:
SAFE: a statistical algorithm for F0 estimation for both clean and noisy speech. INTERSPEECH 2010: 2590-2593 - [c29]Lihong Li, Wei Chu, John Langford, Robert E. Schapire:
A contextual-bandit approach to personalized news article recommendation. WWW 2010: 661-670 - [i2]Lihong Li, Wei Chu, John Langford, Robert E. Schapire:
A Contextual-Bandit Approach to Personalized News Article Recommendation. CoRR abs/1003.0146 (2010) - [i1]Lihong Li, Wei Chu, John Langford:
An Unbiased, Data-Driven, Offline Evaluation Method of Contextual Bandit Algorithms. CoRR abs/1003.5956 (2010)
2000 – 2009
- 2009
- [c28]Wei Chu, Abeer Alwan:
Reducing F0 Frame Error of F0 tracking algorithms under noisy conditions with an unvoiced/voiced classification frontend. ICASSP 2009: 3969-3972 - [c27]Wei Chu, Abeer Alwan:
A correlation-maximization denoising filter used as an enhancement frontend for noise robust bird call classification. INTERSPEECH 2009: 2831-2834 - [c26]Wei Chu, Seung-Taek Park, Todd Beaupre, Nitin Motgi, Amit Phadke, Seinjuti Chakraborty, Joe Zachariah:
A case study of behavior-driven conjoint analysis on Yahoo!: front page today module. KDD 2009: 1097-1104 - [c25]Seung-Taek Park, Wei Chu:
Pairwise preference regression for cold-start recommendation. RecSys 2009: 21-28 - [c24]Wei Chu, Seung-Taek Park:
Personalized recommendation on dynamic content using predictive bilinear models. WWW 2009: 691-700 - [c23]Wei Chu, Zoubin Ghahramani:
Probabilistic Models for Incomplete Multi-dimensional Arrays. AISTATS 2009: 89-96 - 2008
- [j9]Wei Chu, Benoît Champagne:
A Noise-Robust FFT-Based Auditory Spectrum With Application in Audio Classification. IEEE Trans. Speech Audio Process. 16(1): 137-150 (2008) - 2007
- [j8]Wei Chu, S. Sathiya Keerthi:
Support Vector Ordinal Regression. Neural Comput. 19(3): 792-815 (2007) - [c22]Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansche:
A Support Vector Approach to Censored Targets. ICDM 2007: 655-660 - [c21]Wei Chu, Benoît Champagne:
An Improved Implementation for an Auditory-Inspired FFT Model with Application in Audio Classification. ICME 2007: 196-199 - [c20]Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi:
Semi-Supervised Gaussian Process Classifiers. IJCAI 2007: 1059-1064 - [c19]Wei Chu, Jia Liu:
Using confidence measures to evaluate the speaker turns in speaker segmentation. ISSPA 2007: 1-4 - [c18]Wei Chu, Jia Liu:
Subband Energy distance measure applied in multi-pass speech/non-speech discrimination. ISSPA 2007: 1-4 - [c17]Ricardo Bezerra de Andrade e Silva, Wei Chu, Zoubin Ghahramani:
Hidden Common Cause Relations in Relational Learning. NIPS 2007: 1345-1352 - [c16]Kai Yu, Wei Chu:
Gaussian Process Models for Link Analysis and Transfer Learning. NIPS 2007: 1657-1664 - 2006
- [j7]Wei Chu, Zoubin Ghahramani, Alexei A. Podtelezhnikov, David L. Wild:
Bayesian Segmental Models with Multiple Sequence Alignment Profiles for Protein Secondary Structure and Contact Map Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 3(2): 98-113 (2006) - [c15]Wei Chu, Benoît Champagne:
A Simplified Early Auditory Model with Application in Speech/Music Classification. CCECE 2006: 775-778 - [c14]Wei Chu, Benoît Champagne:
A Noise-Robust Fft-Based Spectrum for Audio Classification. ICASSP (5) 2006: 213-216 - [c13]Shirish K. Shevade, Wei Chu:
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. ICDM 2006: 1054-1058 - [c12]Wei Chu:
Model Selection: An Empirical Study on Two Kernel Classifiers. IJCNN 2006: 1673-1679 - [c11]Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi:
Relational Learning with Gaussian Processes. NIPS 2006: 289-296 - [c10]Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu:
Stochastic Relational Models for Discriminative Link Prediction. NIPS 2006: 1553-1560 - [c9]Wei Chu, Zoubin Ghahramani, Roland Krause, David L. Wild:
Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model. Pacific Symposium on Biocomputing 2006: 231-242 - [c8]Wei Chu, Xi Xiao, Jia Liu:
Confidence Score Based Unsupervised Incremental Adaptation for OOV Words Detection. SSPR/SPR 2006: 723-731 - [p1]Wei Chu, S. Sathiya Keerthi, Chong Jin Ong, Zoubin Ghahramani:
Bayesian Support Vector Machines for Feature Ranking and Selection. Feature Extraction 2006: 403-418 - 2005
- [j6]Wei Chu, Zoubin Ghahramani, Francesco Falciani, David L. Wild:
Biomarker discovery in microarray gene expression data with Gaussian processes. Bioinform. 21(16): 3385-3393 (2005) - [j5]Wei Chu, Zoubin Ghahramani:
Gaussian Processes for Ordinal Regression. J. Mach. Learn. Res. 6: 1019-1041 (2005) - [j4]Wei Chu, Chong Jin Ong, S. Sathiya Keerthi:
An improved conjugate gradient scheme to the solution of least squares SVM. IEEE Trans. Neural Networks 16(2): 498-501 (2005) - [c7]Wei Chu, Zoubin Ghahramani:
Preference learning with Gaussian processes. ICML 2005: 137-144 - [c6]Wei Chu, S. Sathiya Keerthi:
New approaches to support vector ordinal regression. ICML 2005: 145-152 - [c5]S. Sathiya Keerthi, Wei Chu:
A matching pursuit approach to sparse Gaussian process regression. NIPS 2005: 643-650 - 2004
- [j3]Wei Chu, S. Sathiya Keerthi, Chong Jin Ong:
Bayesian support vector regression using a unified loss function. IEEE Trans. Neural Networks 15(1): 29-44 (2004) - [c4]Wei Chu, Zoubin Ghahramani, David L. Wild:
Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. ESANN 2004: 81-86 - [c3]Wei Chu, Zoubin Ghahramani, David L. Wild:
A graphical model for protein secondary structure prediction. ICML 2004 - 2003
- [j2]Wei Chu, S. Sathiya Keerthi, Chong Jin Ong:
Bayesian Trigonometric Support Vector Classifier. Neural Comput. 15(9): 2227-2254 (2003) - [c2]Kaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo:
Multi-category Classification by Soft-Max Combination of Binary Classifiers. Multiple Classifier Systems 2003: 125-134 - 2002
- [j1]S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah, David B. L. Lim, Wei Chu, Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh:
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1). SIGKDD Explor. 4(2): 93-94 (2002) - 2001
- [c1]Wei Chu, S. Sathiya Keerthi, Chong Jin Ong:
A Unified Loss Function in Bayesian Framework for Support Vector Regression. ICML 2001: 51-58
Coauthor Index
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