Nevin L. Zhang
24 papers · 2004–2025 · 12 conferences · across top CS/AI conferences
Achievements
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Keyword Pioneer
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Hot Topic Early Bird
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Cross-Pollinator
(11)
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Keyword Trendsetter Combo
(3)
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Grand Slam
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Dynamic Duo
(10)
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(8)
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Century Club
(24)
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Trend Setter
ποΈ
Keyword Collector
(112)
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Prolific Year
(5)
Conferences
ACL (5)
AAAI (3)
EMNLP (3)
NIPS (3)
IJCAI (2)
IJCNLP (2)
COLING (1)
CVPR (1)
ICLR (1)
ICML (1)
JMLR (1)
UAI (1)
Top co-authors
Research topics
Keywords
text generation
(3)
knowledge distillation
(3)
dialogue system
(3)
text style transfer
(2)
rap generation
(2)
lifelong learning
(2)
conditional layer normalization
(2)
deep neural network
(2)
memory network
(2)
language modeling
(2)
catastrophic forgetting
(2)
rhythm modeling
(2)
reverse attention
(2)
content preservation
(2)
language model
(2)
rhyme modeling
(2)
domain adaptation
(1)
transfer learning
(1)
semi-supervised learning
(1)
variational inference
(1)
Papers
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization
AAAI 2025
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
ICML 2025
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
COLING 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
NIPS 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
NIPS 2024
ViT-CX: Causal Explanation of Vision Transformers
IJCAI 2023
Two-stage holistic and contrastive explanation of image classification
UAI 2023
Local Temperature Beam Search: Avoid Neural Text DeGeneration via Enhanced Calibration
ACL 2023
SeqPATE: Differentially Private Text Generation via Knowledge Distillation
NIPS 2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
EMNLP 2022
Semi-Supervised Lifelong Language Learning
EMNLP 2022
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory
EMNLP 2022
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
ACL 2021
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
IJCNLP 2021
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
ACL 2021
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
AAAI 2021
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
IJCNLP 2021
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
ACL 2020
Not All Attention Is Needed: Gated Attention Network for Sequence Data
AAAI 2020
Learning to Abstract for Memory-augmented Conversational Response Generation
ACL 2019
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
ICLR 2019
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
IJCAI 2018
Bayesian Adaptive Matrix Factorization With Automatic Model Selection
CVPR 2015
Hierarchical Latent Class Models for Cluster Analysis
JMLR 2004