← Authors

Changshui Zhang

58 papers · 2010–2026 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (15) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (14) πŸ—ΊοΈ Taxonomy Completionist (18) 🀝 Dynamic Duo (13) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (14) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) ⚑ Prolific Year (9) πŸ’Ž Century Club (56) πŸ—ƒοΈ Keyword Collector (245)

Conferences

NIPS (12) CVPR (9) ICML (7) AAAI (5) EMNLP (5) ICLR (5) ACL (3) AISTATS (3) ICCV (3) NAACL (2) COLING (1) ECCV (1) IJCNLP (1) JMLR (1)

Top co-authors

Fei Wang (13) Chen Qian (12) Shan You (12) Hongming Zhang (10) Chang Xu (9) Sen Cui (9) Ruixin Hong (9) Dong Yu (6) Bo Han (6) Yiwen Guo (5)

Keywords

model compression (6) neural architecture search (5) non-convex optimization (4) adversarial attack (4) large language model (4) multi-objective optimization (3) network pruning (3) one-shot learning (3) channel pruning (3) weakly supervised learning (3) supernet training (3) pronoun coreference (3) logical reasoning (3) multi-task learning (3) adversarial robustness (3) convolutional neural network (3) contrastive learning (2) representation learning (2) benchmark evaluation (2) visual grounding (2)

Papers

Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement AAAI 2026
Kronos: A Foundation Model for the Language of Financial Markets AAAI 2026
Learning without Isolation: Pathway Protection for Continual Learning ICML 2025
CALM: Consensus-Aware Localized Merging for Multi-Task Learning ICML 2025
Adaptive Localization of Knowledge Negation for Continual LLM Unlearning ICML 2025
Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models COLING 2025
Assimilation and Accommodation: Task-Adaptive Hierarchical Abstraction for Solving Web Tasks ACL 2025
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization NIPS 2024
A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning NAACL 2024
Balancing Similarity and Complementarity for Federated Learning ICML 2024
CLAP: Collaborative Adaptation for Patchwork Learning ICLR 2024
CLOMO: Counterfactual Logical Modification with Large Language Models ACL 2024
Accurate Forgetting for Heterogeneous Federated Continual Learning ICLR 2024
Abstraction-of-Thought Makes Language Models Better Reasoners EMNLP 2024
Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation EMNLP 2024
Faithful Question Answering with Monte-Carlo Planning ACL 2023
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation AAAI 2023
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness NIPS 2022
ViTAS: Vision Transformer Architecture Search ECCV 2022
GreedyNASv2: Greedier Search With a Greedy Path Filter CVPR 2022
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure EMNLP 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation NAACL 2022
Learning a Proposal Classifier for Multiple Object Tracking CVPR 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation NIPS 2021
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NIPS 2021
Prioritized Architecture Sampling With Monto-Carlo Tree Search CVPR 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021
Exophoric Pronoun Resolution in Dialogues with Topic Regularization EMNLP 2021
Learning With Privileged Tasks ICCV 2021
Weakly Supervised Contrastive Learning ICCV 2021
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples ICLR 2021
Locally Free Weight Sharing for Network Width Search ICLR 2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data AAAI 2020
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet CVPR 2020
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NIPS 2020
Few Sample Knowledge Distillation for Efficient Network Compression CVPR 2020
Boosting Semantic Human Matting With Coarse Annotations CVPR 2020
When Counterpoint Meets Chinese Folk Melodies NIPS 2020
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning AAAI 2020
Sparse Coding with Gated Learned ISTA ICLR 2020
Semismooth Newton Algorithm for Efficient Projections onto $\ell_1, ∞$-norm Ball ICML 2020
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues IJCNLP 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks NIPS 2019
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues EMNLP 2019
Deep Defense: Training DNNs with Improved Adversarial Robustness NIPS 2018
Sparse DNNs with Improved Adversarial Robustness NIPS 2018
Connectionist Temporal Classification with Maximum Entropy Regularization NIPS 2018
Learning Efficient Convolutional Networks Through Network Slimming ICCV 2017
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization CVPR 2017
Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014
Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014
Seeing the Arrow of Time CVPR 2014
Multi-Stage Multi-Task Feature Learning JMLR 2013
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013
Multi-Stage Multi-Task Feature Learning NIPS 2012
Learning Kernels with Radiuses of Minimum Enclosing Balls NIPS 2010