Nevin L. Zhang

87 papers A* 20A 3C 2Misc 1Journal 46Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bidirectional Temporal Dynamics Modeling for EEG-based Driving Fatigue Recognition.
CoRR
YipTin Po, Jianming Wang, Yutao Miao, Jiayan Zhang, Yunxu Zhao, Xiaomin Ouyang, Zhihong Li, Nevin L. Zhang
2025 A* conf
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation.
ICML
Wenxu Wang, Rui Zhou, Jing Wang, Yun Zhou, Cheng Zhu, Ruichun Tang, Bo Han, Nevin L. Zhang
2025 J jnl
CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing.
CoRR
Weiyan Xie, Han Gao, Didan Deng, Kaican Li, April Hua Liu, Yongxiang Huang, Nevin L. Zhang
2025 J jnl
InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search.
CoRR
Kaican Li, Lewei Yao, Jiannan Wu, Tiezheng Yu, Jierun Chen, Haoli Bai, Lu Hou, Lanqing Hong, Wei Zhang, Nevin L. Zhang
2025 Misc conf
Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting.
ICASSP
Xingzhi Zhou, Boyang Zhang, Zhiliang Tian, Yibo Zhang, Xin Niu, Ka Chun Cheung, Simon See, Nevin L. Zhang
2025 A* conf
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization.
AAAI
Xingzhi Zhou, Zhiliang Tian, Boyang Zhang, Yibo Zhang, Ka Chun Cheung, Simon See, Hao Yang, Yun Zhou, Nevin L. Zhang
2024 J jnl
Breaking the mold: The challenge of large scale MARL specialization.
CoRR
Stefan Juang, Hugh Cao, Arielle Zhou, Ruochen Liu, Nevin L. Zhang, Elvis S. Liu
2024 A conf
Consistency Regularization for Domain Generalization with Logit Attribution Matching.
UAI
Han Gao, Kaican Li, Weiyan Xie, Zhi Lin, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang
2024 A* conf
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models.
NeurIPS
Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
2024 J jnl
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models.
CoRR
Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
2024 J jnl
Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning.
CoRR
Jialin Yu, Yuxiang Zhou, Yulan He, Nevin L. Zhang, Ricardo Silva
2024 J jnl
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank.
CoRR
Xingzhi Zhou, Zhiliang Tian, Ka Chun Cheung, Simon See, Nevin L. Zhang
2024 — conf
TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction.
BIBM
Xingzhi Zhou, Xin Dong, Chunhao Li, Yuning Bai, Yulong Xu, Ka Chun Cheung, Simon See, Xinpeng Song, Runshun Zhang, Xuezhong Zhou, Nevin L. Zhang
2024 J jnl
TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction.
CoRR
Xingzhi Zhou, Xin Dong, Chunhao Li, Yuning Bai, Yulong Xu, Ka Chun Cheung, Simon See, Xinpeng Song, Runshun Zhang, Xuezhong Zhou, Nevin L. Zhang
2024 — conf
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.
LREC/COLING
Yingxiu Zhao, Bowen Yu, Binyuan Hui, Haiyang Yu, Minghao Li, Fei Huang, Nevin L. Zhang, Yongbin Li
2024 A* conf
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense.
NeurIPS
Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen, Minhao Cheng
2024 J jnl
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense.
CoRR
Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen, Minhao Cheng
2023 J jnl
A Causal Framework to Unify Common Domain Generalization Approaches.
CoRR
Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang
2023 J jnl
A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.
CoRR
Yingxiu Zhao, Bowen Yu, Binyuan Hui, Haiyang Yu, Fei Huang, Yongbin Li, Nevin L. Zhang
2023 A* conf
Causal Document-Grounded Dialogue Pre-training.
EMNLP
Yingxiu Zhao, Bowen Yu, Bowen Li, Haiyang Yu, Jinyang Li, Chao Wang, Fei Huang, Yongbin Li, Nevin L. Zhang
2023 J jnl
Causal Document-Grounded Dialogue Pre-training.
CoRR
Yingxiu Zhao, Bowen Yu, Haiyang Yu, Bowen Li, Jinyang Li, Chao Wang, Fei Huang, Yongbin Li, Nevin L. Zhang
2023 J jnl
Contrastive Domain Generalization via Logit Attribution Matching.
CoRR
Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang
2023 — conf
Local Temperature Beam Search: Avoid Neural Text DeGeneration via Enhanced Calibration.
ACL (Findings)
Dongkyu Lee, Gyeonghun Kim, Janghoon Han, Taesuk Hong, Yireun Kim, Stanley Jungkyu Choi, Nevin L. Zhang
2023 J jnl
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.
CoRR
Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang
2023 J jnl
Two-Stage Holistic and Contrastive Explanation of Image Classification.
CoRR
Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang
2023 A conf
Two-stage holistic and contrastive explanation of image classification.
UAI
Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang
2023 A* conf
ViT-CX: Causal Explanation of Vision Transformers.
IJCAI
Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang
2022 A* conf
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation.
EMNLP
Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang
2022 J jnl
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation.
CoRR
Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang
2022 J jnl
Deep Clustering with Features from Self-Supervised Pretraining.
CoRR
Xingzhi Zhou, Nevin L. Zhang
2022 — conf
Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation.
DASFAA (3)
Zhiliang Tian, Zhihua Wen, Zhenghao Wu, Yiping Song, Jintao Tang, Dongsheng Li, Nevin L. Zhang
2022 — conf
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory.
EMNLP (Findings)
Zhiliang Tian, Yinliang Wang, Yiping Song, Chi Zhang, Dongkyu Lee, Yingxiu Zhao, Dongsheng Li, Nevin L. Zhang
2022 J jnl
Example Perplexity.
CoRR
Nevin L. Zhang, Weiyan Xie, Zhi Lin, Guanfang Dong, Xiao-Hui Li, Caleb Chen Cao, Yunpeng Wang
2022 J jnl
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model.
CoRR
Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin L. Zhang
2022 — conf
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation.
ACL (1)
Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin L. Zhang
2022 J jnl
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation.
CoRR
Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin L. Zhang
2022 A* conf
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue.
EMNLP
Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian, Chang Gao, Jian Sun, Nevin L. Zhang
2022 J jnl
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue.
CoRR
Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian, Chang Gao, Bowen Yu, Haiyang Yu, Yongbin Li, Jian Sun, Nevin L. Zhang
2022 — conf
Semi-Supervised Lifelong Language Learning.
EMNLP (Findings)
Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Yongbin Li, Nevin L. Zhang
2022 J jnl
Semi-Supervised Lifelong Language Learning.
CoRR
Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Haiyang Yu, Yongbin Li, Nevin L. Zhang
2022 A* conf
SeqPATE: Differentially Private Text Generation via Knowledge Distillation.
NeurIPS
Zhiliang Tian, Yingxiu Zhao, Ziyue Huang, Yu-Xiang Wang, Nevin L. Zhang, He He
2022 J jnl
ViT-CX: Causal Explanation of Vision Transformers.
CoRR
Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang
2021 — conf
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling.
ACL/IJCNLP (1)
Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu
2021 J jnl
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling.
CoRR
Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu
2021 — conf
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization.
ACL/IJCNLP (1)
Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang
2021 J jnl
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization.
CoRR
Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang
2021 A* conf
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks.
AAAI
Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang
2021 J jnl
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks.
CoRR
Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang
2020 J jnl
Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling.
CoRR
Leonard K. M. Poon, Nevin L. Zhang, Haoran Xie, Gary Cheng
2020 A* conf
Learning the Structure of Auto-Encoding Recommenders.
WWW
Farhan Khawar, Leonard K. M. Poon, Nevin L. Zhang
2020 A* conf
Not All Attention Is Needed: Gated Attention Network for Sequence Data.
AAAI
Lanqing Xue, Xiaopeng Li, Nevin L. Zhang
2020 A* conf
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation.
ACL
Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang
2020 J jnl
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation.
CoRR
Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang
2019 C conf
A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models.
ECSQARU
Peixian Chen, Zhourong Chen, Nevin L. Zhang
2019 A* conf
Cleaned Similarity for Better Memory-Based Recommenders.
SIGIR
Farhan Khawar, Nevin L. Zhang
2019 J jnl
Cleaned Similarity for Better Memory-Based Recommenders.
CoRR
Farhan Khawar, Nevin L. Zhang
2019 — conf
Conformative Filtering for Implicit Feedback Data.
ECIR (1)
Farhan Khawar, Nevin L. Zhang
2019 C conf
Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion.
ECSQARU
Zhourong Chen, Xiaopeng Li, Zhiliang Tian, Nevin L. Zhang
2019 — conf
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering.
ICLR (Poster)
Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang
2019 — conf
Learning to Abstract for Memory-augmented Conversational Response Generation.
ACL (1)
Zhiliang Tian, Wei Bi, Xiaopeng Li, Nevin L. Zhang
2019 A* conf
Modeling Multidimensional User Preferences for Collaborative Filtering.
ICDE
Farhan Khawar, Nevin L. Zhang
2019 J jnl
Not All Attention Is Needed: Gated Attention Network for Sequence Data.
CoRR
Lanqing Xue, Xiaopeng Li, Nevin L. Zhang
2018 A* conf
Building Sparse Deep Feedforward Networks using Tree Receptive Fields.
IJCAI
Xiaopeng Li, Zhourong Chen, Nevin L. Zhang
2018 J jnl
Building Sparse Deep Feedforward Networks using Tree Receptive Fields.
CoRR
Xiaopeng Li, Zhourong Chen, Nevin L. Zhang
2018 J jnl
Latent Tree Variational Autoencoder for Joint Representation Learning and Multidimensional Clustering.
CoRR
Xiaopeng Li, Zhourong Chen, Nevin L. Zhang
2018 J jnl
Learning Hierarchical Item Categories from Implicit Feedback Data for Efficient Recommendations and Browsing.
CoRR
Farhan Khawar, Nevin L. Zhang
2018 J jnl
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion.
CoRR
Zhourong Chen, Xiaopeng Li, Nevin L. Zhang
2018 J jnl
Matrix Factorization Equals Efficient Co-occurrence Representation.
CoRR
Farhan Khawar, Nevin L. Zhang
2018 J jnl
UC-LTM: Unidimensional clustering using latent tree models for discrete data.
Int. J. Approx. Reason.
Leonard K. M. Poon, April H. Liu, Nevin L. Zhang
2018 J jnl
Using Taste Groups for Collaborative Filtering.
CoRR
Farhan Khawar, Nevin L. Zhang
2017 J jnl
Conformative Filtering for Implicit Feedback Data.
CoRR
Farhan Khawar, Nevin L. Zhang, Jinxing Yu
2017 J jnl
Document Generation with Hierarchical Latent Tree Models.
CoRR
Peixian Chen, Zhourong Chen, Nevin L. Zhang
2017 A* conf
Latent Tree Analysis.
AAAI
Nevin L. Zhang, Leonard K. M. Poon
2017 J jnl
Latent tree models for hierarchical topic detection.
Artif. Intell.
Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen, Farhan Khawar
2017 — conf
Mining Textual Reviews with Hierarchical Latent Tree Analysis.
DMBD
Leonard K. M. Poon, Chun Fai Leung, Nevin L. Zhang
2017 A* conf
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis.
AAAI
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
2017 — conf
Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis.
APWeb/WAIM (2)
Leonard K. M. Poon, Chun Fai Leung, Peixian Chen, Nevin L. Zhang
2016 J jnl
Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis.
CoRR
Chen Fu, Nevin L. Zhang, Bao Xin Chen, Zhourong Chen, Xiang Lan Jin, Rong Juan Guo, Zhi Gang Chen, Yun Ling Zhang
2016 J jnl
Latent Tree Analysis.
CoRR
Nevin L. Zhang, Leonard K. M. Poon
2016 J jnl
Latent Tree Models for Hierarchical Topic Detection.
CoRR
Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen
2016 A* conf
Progressive EM for Latent Tree Models and Hierarchical Topic Detection.
AAAI
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
2016 J jnl
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis.
CoRR
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
2016 J jnl
Topic Browsing for Research Papers with Hierarchical Latent Tree Analysis.
CoRR
Leonard K. M. Poon, Nevin L. Zhang
2015 A* conf
Bayesian adaptive matrix factorization with automatic model selection.
CVPR
Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung
2015 J jnl
Progressive EM for Latent Tree Models and Hierarchical Topic Detection.
CoRR
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
2014 A ed.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, UAI 2014, Quebec City, Quebec, Canada, July 23-27, 2014
UAI
Nevin L. Zhang, Jin Tian
2010 — conf
Statistical truths in traditional Chinese medicine theories.
BIBM Workshops
Nevin L. Zhang, Shihong Yuan