Nevin L. Zhang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 69

Top Topics

Matrix Factorization

Mild Cognitive Impairment

Top Venues

Publications

Yingxiu Zhao, Bowen Yu, Binyuan Hui, Haiyang Yu, Minghao Li, Fei Huang, Nevin L. Zhang, Yongbin Li
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment. LREC/COLING (2024)
Xingzhi Zhou, Zhiliang Tian, Ka Chun Cheung, Simon See, Nevin L. Zhang
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank. CoRR (2024)
Xingzhi Zhou, Xin Dong, Chunhao Li, Yuning Bai, Yulong Xu, Ka Chun Cheung, Simon See, Xinpeng Song, Runshun Zhang, Xuezhong Zhou, Nevin L. Zhang
TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction. CoRR (2024)
Yingxiu Zhao, Bowen Yu, Binyuan Hui, Haiyang Yu, Fei Huang, Yongbin Li, Nevin L. Zhang
A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment. CoRR (2023)
Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang
Two-Stage Holistic and Contrastive Explanation of Image Classification. CoRR (2023)
Yingxiu Zhao, Bowen Yu, Bowen Li, Haiyang Yu, Jinyang Li, Chao Wang, Fei Huang, Yongbin Li, Nevin L. Zhang
Causal Document-Grounded Dialogue Pre-training. EMNLP (2023)
Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang
ViT-CX: Causal Explanation of Vision Transformers. IJCAI (2023)
Dongkyu Lee, Gyeonghun Kim, Janghoon Han, Taesuk Hong, Yireun Kim, Stanley Jungkyu Choi, Nevin L. Zhang
Local Temperature Beam Search: Avoid Neural Text DeGeneration via Enhanced Calibration. ACL (Findings) (2023)
Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts. CoRR (2023)
Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang
Contrastive Domain Generalization via Logit Attribution Matching. CoRR (2023)
Yingxiu Zhao, Bowen Yu, Haiyang Yu, Bowen Li, Jinyang Li, Chao Wang, Fei Huang, Yongbin Li, Nevin L. Zhang
Causal Document-Grounded Dialogue Pre-training. CoRR (2023)
Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang
Two-stage holistic and contrastive explanation of image classification. UAI (2023)
Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang
A Causal Framework to Unify Common Domain Generalization Approaches. CoRR (2023)
Zhiliang Tian, Yingxiu Zhao, Ziyue Huang, Yu-Xiang Wang, Nevin L. Zhang, He He
SeqPATE: Differentially Private Text Generation via Knowledge Distillation. NeurIPS (2022)
Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation. CoRR (2022)
Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Yongbin Li, Nevin L. Zhang
Semi-Supervised Lifelong Language Learning. EMNLP (Findings) (2022)
Zhiliang Tian, Zhihua Wen, Zhenghao Wu, Yiping Song, Jintao Tang, Dongsheng Li, Nevin L. Zhang
Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation. DASFAA (3) (2022)
Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian, Chang Gao, Bowen Yu, Haiyang Yu, Yongbin Li, Jian Sun, Nevin L. Zhang
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue. CoRR (2022)
Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation. EMNLP (2022)
Nevin L. Zhang, Weiyan Xie, Zhi Lin, Guanfang Dong, Xiao-Hui Li, Caleb Chen Cao, Yunpeng Wang
Example Perplexity. CoRR (2022)
Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin L. Zhang
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model. CoRR (2022)
Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang
ViT-CX: Causal Explanation of Vision Transformers. CoRR (2022)
Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin L. Zhang
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation. ACL (1) (2022)
Xingzhi Zhou, Nevin L. Zhang
Deep Clustering with Features from Self-Supervised Pretraining. CoRR (2022)
Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin L. Zhang
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation. CoRR (2022)
Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Haiyang Yu, Yongbin Li, Nevin L. Zhang
Semi-Supervised Lifelong Language Learning. CoRR (2022)
Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian, Chang Gao, Jian Sun, Nevin L. Zhang
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue. EMNLP (2022)
Zhiliang Tian, Yinliang Wang, Yiping Song, Chi Zhang, Dongkyu Lee, Yingxiu Zhao, Dongsheng Li, Nevin L. Zhang
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory. EMNLP (Findings) (2022)
Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization. CoRR (2021)
Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization. ACL/IJCNLP (1) (2021)
Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. AAAI (2021)
Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. CoRR (2021)
Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. ACL/IJCNLP (1) (2021)
Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. CoRR (2021)
Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. ACL (2020)
Leonard K. M. Poon, Nevin L. Zhang, Haoran Xie, Gary Cheng
Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling. CoRR (2020)
Lanqing Xue, Xiaopeng Li, Nevin L. Zhang
Not All Attention Is Needed: Gated Attention Network for Sequence Data. AAAI (2020)
Farhan Khawar, Leonard K. M. Poon, Nevin L. Zhang
Learning the Structure of Auto-Encoding Recommenders. WWW (2020)
Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. CoRR (2020)
Farhan Khawar, Nevin L. Zhang
Modeling Multidimensional User Preferences for Collaborative Filtering. ICDE (2019)
Farhan Khawar, Nevin L. Zhang
Conformative Filtering for Implicit Feedback Data. ECIR (1) (2019)
Zhourong Chen, Xiaopeng Li, Zhiliang Tian, Nevin L. Zhang
Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion. ECSQARU (2019)
Lanqing Xue, Xiaopeng Li, Nevin L. Zhang
Not All Attention Is Needed: Gated Attention Network for Sequence Data. CoRR (2019)
Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering. ICLR (Poster) (2019)
Farhan Khawar, Nevin L. Zhang
Cleaned Similarity for Better Memory-Based Recommenders. SIGIR (2019)
Peixian Chen, Zhourong Chen, Nevin L. Zhang
A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models. ECSQARU (2019)
Zhiliang Tian, Wei Bi, Xiaopeng Li, Nevin L. Zhang
Learning to Abstract for Memory-augmented Conversational Response Generation. ACL (1) (2019)
Farhan Khawar, Nevin L. Zhang
Cleaned Similarity for Better Memory-Based Recommenders. CoRR (2019)
Xiaopeng Li, Zhourong Chen, Nevin L. Zhang
Latent Tree Variational Autoencoder for Joint Representation Learning and Multidimensional Clustering. CoRR (2018)
Xiaopeng Li, Zhourong Chen, Nevin L. Zhang
Building Sparse Deep Feedforward Networks using Tree Receptive Fields. CoRR (2018)
Farhan Khawar, Nevin L. Zhang
Matrix Factorization Equals Efficient Co-occurrence Representation. CoRR (2018)
Leonard K. M. Poon, April H. Liu, Nevin L. Zhang
UC-LTM: Unidimensional clustering using latent tree models for discrete data. Int. J. Approx. Reason. 92 (2018)
Zhourong Chen, Xiaopeng Li, Nevin L. Zhang
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion. CoRR (2018)
Farhan Khawar, Nevin L. Zhang
Using Taste Groups for Collaborative Filtering. CoRR (2018)
Xiaopeng Li, Zhourong Chen, Nevin L. Zhang
Building Sparse Deep Feedforward Networks using Tree Receptive Fields. IJCAI (2018)
Farhan Khawar, Nevin L. Zhang
Learning Hierarchical Item Categories from Implicit Feedback Data for Efficient Recommendations and Browsing. CoRR (2018)
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. AAAI (2017)
Farhan Khawar, Nevin L. Zhang, Jinxing Yu
Conformative Filtering for Implicit Feedback Data. CoRR (2017)
Peixian Chen, Zhourong Chen, Nevin L. Zhang
Document Generation with Hierarchical Latent Tree Models. CoRR (2017)
Leonard K. M. Poon, Chun Fai Leung, Peixian Chen, Nevin L. Zhang
Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis. APWeb/WAIM (2) (2017)
Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen, Farhan Khawar
Latent tree models for hierarchical topic detection. Artif. Intell. 250 (2017)
Leonard K. M. Poon, Chun Fai Leung, Nevin L. Zhang
Mining Textual Reviews with Hierarchical Latent Tree Analysis. DMBD (2017)
Nevin L. Zhang, Leonard K. M. Poon
Latent Tree Analysis. AAAI (2017)
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. AAAI (2016)
Chen Fu, Nevin L. Zhang, Bao Xin Chen, Zhourong Chen, Xiang Lan Jin, Rong Juan Guo, Zhi Gang Chen, Yun Ling Zhang
Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis. CoRR (2016)
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. CoRR (2016)
Leonard K. M. Poon, Nevin L. Zhang
Topic Browsing for Research Papers with Hierarchical Latent Tree Analysis. CoRR (2016)
Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen
Latent Tree Models for Hierarchical Topic Detection. CoRR (2016)
Nevin L. Zhang, Leonard K. M. Poon
Latent Tree Analysis. CoRR (2016)
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. CoRR (2015)
Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung
Bayesian adaptive matrix factorization with automatic model selection. CVPR (2015)
Nevin L. Zhang, Shihong Yuan
Statistical truths in traditional Chinese medicine theories. BIBM Workshops (2010)