Zhe Feng
32 papers · 2006–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
🏆
Keyword Champion
(2)
🏆
Grand Slam
🗃️
Keyword Collector
(131)
💎
Century Club
(31)
🔥
Unstoppable
(9)
📈
Trend Setter
⚡
Prolific Year
(6)
Conferences
ICML (8)
ACL (5)
EMNLP (4)
AAAI (3)
INTERSPEECH (3)
EACL (2)
NAACL (2)
NIPS (2)
COLING (1)
ICLR (1)
IJCNLP (1)
Top co-authors
Keywords
weakly supervised learning
(5)
named entity recognition
(4)
abstractive summarization
(3)
mechanism design
(3)
regret bound
(3)
large language model
(3)
text generation
(3)
revenue optimization
(3)
online learning
(2)
click-through rate
(2)
click-through rate prediction
(2)
auction design
(2)
stochastic bandit
(2)
logical rule
(2)
convolutional neural network
(2)
incentive compatibility
(2)
natural language generation
(2)
weak supervision
(2)
ad auction
(2)
entity tagging
(2)
Papers
ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
EACL 2026
Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games
AAAI 2025
Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems
ICML 2025
Multi-Step Generation of Test Specifications using Large Language Models for System-Level Requirements
ACL 2025
Learning Thresholds with Latent Values and Censored Feedback
ICLR 2024
A Field Guide for Pacing Budget and ROS Constraints
ICML 2024
CoAug: Combining Augmentation of Labels and Labelling Rules
ACL 2023
Knowledge-Grounded Natural Language Recommendation Explanation
EMNLP 2023
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
NIPS 2023
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering
EMNLP 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
ICML 2023
Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
ICML 2023
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
NIPS 2022
A Context-Integrated Transformer-Based Neural Network for Auction Design
ICML 2022
Weakly Supervised Named Entity Tagging with Learnable Logical Rules
IJCNLP 2021
Weakly Supervised Named Entity Tagging with Learnable Logical Rules
ACL 2021
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions
AAAI 2021
A New Approach to Overgenerating and Scoring Abstractive Summaries
NAACL 2021
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
EACL 2021
Modeling Endorsement for Multi-Document Abstractive Summarization
EMNLP 2021
Reserve Price Optimization for First Price Auctions in Display Advertising
ICML 2021
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
ICML 2020
Learning to Classify Events from Human Needs Category Descriptions
EMNLP 2020
Controlling the Amount of Verbatim Copying in Abstractive Summarization
AAAI 2020
Optimal Auctions through Deep Learning
ICML 2019
Improving Slot Filling in Spoken Language Understanding with Joint Pointer and Attention
ACL 2018
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification
INTERSPEECH 2018
Occupancy Detection in Commercial and Residential Environments Using Audio Signal
INTERSPEECH 2017
Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features
INTERSPEECH 2017
A Conversational In-Car Dialog System
NAACL 2007
A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces
ACL 2006
A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces
COLING 2006